CN109114430A - Online monitoring system for municipal drainage pipe network - Google Patents
Online monitoring system for municipal drainage pipe network Download PDFInfo
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- CN109114430A CN109114430A CN201811126349.4A CN201811126349A CN109114430A CN 109114430 A CN109114430 A CN 109114430A CN 201811126349 A CN201811126349 A CN 201811126349A CN 109114430 A CN109114430 A CN 109114430A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 83
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 32
- 238000012545 processing Methods 0.000 claims abstract description 14
- 238000009825 accumulation Methods 0.000 claims description 7
- 230000005856 abnormality Effects 0.000 claims description 6
- 239000010865 sewage Substances 0.000 claims description 5
- 238000011156 evaluation Methods 0.000 abstract description 2
- 230000002159 abnormal effect Effects 0.000 description 4
- 238000007689 inspection Methods 0.000 description 2
- 230000002265 prevention Effects 0.000 description 2
- 101100366940 Mus musculus Stom gene Proteins 0.000 description 1
- 230000003044 adaptive effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005086 pumping Methods 0.000 description 1
Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D3/00—Arrangements for supervising or controlling working operations
- F17D3/01—Arrangements for supervising or controlling working operations for controlling, signalling, or supervising the conveyance of a product
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Emergency Alarm Devices (AREA)
- Testing Or Calibration Of Command Recording Devices (AREA)
- Alarm Systems (AREA)
Abstract
The invention provides an online monitoring system for a municipal drainage pipe network, which comprises: the system comprises a data acquisition module and a processing module, wherein the data acquisition module comprises monitoring nodes arranged according to the topological structure of the municipal drainage pipe network, and the monitoring nodes are provided with water level monitors and flow monitors and are used for acquiring water level and flow data of the actual operation of the monitoring nodes and sending the water level and flow data to the processing module; the processing module is used for integrating water level and flow data of actual operation of the monitoring nodes, a topological structure of the drainage pipe network, field pipeline data and GIS data into a hydraulic model of the urban drainage pipe network; and the analysis module is used for evaluating the actual running state of the municipal drainage pipe network according to the municipal drainage pipe network hydraulic model. The invention realizes the monitoring and evaluation of the running condition of the municipal drainage pipe network and provides a basis for the management of the municipal drainage pipe network.
Description
Technical field
The present invention relates to municipal works information technology field, especially a kind of urban drainage pipe network on-line monitoring system.
Background technique
As China's Development of China's Urbanization is accelerated, there is largely newly-built pipe network water pipe water flowing operation every year.Have in city a large amount of
Drainage equipment, form corresponding sewerage system, drainage system is by inspection shaft, drainage pumping plant, sewage treatment plant, rainwater
Mouth, discharge outlet etc. form, and inspection shaft, inlet for stom water, the discharge outlet etc. in drainage equipment are attached by drainage pipeline networks, daily
Rain sewage enter drainage pipeline networks and carry out transport discharge.Currently, urban drainage pipe network has huge structure, structure is intricate etc.
Feature in the prior art remains in largely by artificial mode, intelligent water monitoring, the monitoring of urban drainage pipe network
Flat, accuracy rate cannot all meet the demand of the prior art.
Summary of the invention
In view of the above-mentioned problems, the present invention is intended to provide a kind of urban drainage pipe network on-line monitoring system.
The purpose of the present invention is realized using following technical scheme:
A kind of urban drainage pipe network on-line monitoring system, comprising:
Data acquisition module, including the monitoring node being arranged according to the topological structure of urban drainage pipe network, the monitoring section
Point is provided with water level monitor and flow monitor, and the water level and data on flows for obtaining the actual motion of monitoring node are concurrent
It is sent to processing module；
Processing module, for combine monitoring node actual motion water level and data on flows, drainage pipeline networks topological structure,
Field pipes data, GIS data are integrated into urban drainage pipe network hydraulic model；
Analysis module, for assessing the operating status of actual cities drainage pipeline networks according to urban drainage pipe network hydraulic model.
The invention has the benefit that monitoring node is arranged according to the topological structure of municipal drainage net in present system, it should
Monitoring node obtains the water level of monitoring field in real time and data on flows and is sent in processing module, and accuracy is high, strong real-time,
Human cost is low；Processing module combines the water level obtained in real time from different monitoring nodes received and data on flows and city
Drainage pipeline networks topological structure etc. integrates out drainage pipeline networks hydraulic model, and real time data is applied in hydraulic model, can be accurate
Ground is modeled, and the goodness of fit of drainage pipeline networks hydraulic model and practical operation situation is improved, and the accuracy of model is higher；Analysis
Module analyzes the drainage pipeline networks hydraulic model of acquisition, realizes the monitoring to urban drainage pipe network operating condition and comments
Estimate, provides foundation for the management to urban drainage pipe network.
Detailed description of the invention
The present invention will be further described with reference to the accompanying drawings, but the embodiment in attached drawing is not constituted to any limit of the invention
System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings
Other attached drawings.
Fig. 1 is frame construction drawing of the invention.
Appended drawing reference:
Data acquisition module 1, processing module 2, analysis module 3, display module 4, alarm modules 5
Specific embodiment
In conjunction with following application scenarios, the invention will be further described.
Referring to Fig. 1, a kind of urban drainage pipe network on-line monitoring system is shown, comprising:
Data acquisition module 1, including the monitoring node being arranged according to the topological structure of urban drainage pipe network, the monitoring section
Point is provided with water level monitor and flow monitor, and the water level and data on flows for obtaining the actual motion of monitoring node are concurrent
It is sent to processing module 2；
Processing module 2, for combining the water level of monitoring node actual motion and the topology knot of data on flows, drainage pipeline networks
Structure, field pipes data, GIS data are integrated into urban drainage pipe network hydraulic model；
Analysis module 3, for assessing the operating status of actual cities drainage pipeline networks according to urban drainage pipe network hydraulic model.
Monitoring node is arranged according to the topological structure of municipal drainage net in above embodiment of the present invention, and the monitoring node is real
When obtain the water level of monitoring field and data on flows and be sent in processing module 2, accuracy is high, strong real-time；Processing module 2
In conjunction with the water level obtained in real time from different monitoring nodes and data on flows and urban drainage pipe network topological structure etc. received
Drainage pipeline networks hydraulic model is integrated out, real time data is applied in hydraulic model, can accurately be modeled, the row of improving
The accuracy of the goodness of fit of pipe network hydraulic model and practical operation situation, model is higher；The drainpipe of 3 pairs of analysis module acquisitions
Net hydraulic model is analyzed, and the monitoring and evaluation to urban drainage pipe network operating condition is realized, for urban drainage pipe network
Management provide foundation.
In one embodiment, the setting position of the monitoring node includes mixed connecting point position, the pipe of rain sewage conduct
Position that net is connected with river, system pipe network tube bottom absolute altitude lowest position, pipeline is handed in urban drainage pipe network topological structure
The corresponding live position of sink nodes.
Due in actual conditions, urban drainage pipe network huge structure and its pipeline structure is intricate will in the present invention
Monitoring node setting effectively the operating status to urban drainage pipe network can carry out data acquisition, be system in above-mentioned position
Assessment is carried out to the operating status of urban drainage pipe network to lay a good foundation.
In one embodiment, the system also includes display modules 4, for showing the urban drainage pipe network waterpower
Model.
In one embodiment, the display module 4 is also used to show the operation shape of the actual cities drainage pipeline networks
State.
Above embodiment of the present invention drains urban drainage pipe network hydraulic model and actual cities by display module 4
The operating status of pipe network is shown, the real-time status of urban drainage pipe network can be intuitively showed, facilitate manager and
When formulate prevention and the schemes such as speedily carry out rescue work.
In one embodiment, the operating status of the actual cities drainage pipeline networks includes draining in urban drainage pipe network
The match condition of rain sewage yield in the drainability of facility and the region.
In one embodiment, the analysis module 3 assesses the operating status of actual cities drainage pipeline networks, further wraps
It includes, the operating status of the monitoring node is assessed according to the water level of monitoring node and data on flows.
In one embodiment, the analysis module 3 assesses the monitoring according to the water level and data on flows of monitoring node
The operating status of node further comprises:
The status data for obtaining the actual motion of monitoring node, wherein the state data packets include waterlevel data or flow number
According to；
If the status data obtained is greater than the threshold value of setting, abnormality label is carried out to the monitoring node；
Initialization data window, wherein the initial time of the data window is t1, original width m, and set use you
And function model are as follows: γ (t)=μ (t-t0)+λ；
When the status data number of acquisition reaches m, according to the fitting function model to the m status data using most
Small square law obtains the fitting function of the time windowWherein n=1,2 ...,
M, Δ t indicate to obtain the time interval of the status data；
Be fitted the status data of subsequent acquisition using the fitting function of acquisition, and calculate it is accumulative and, wherein what is used makes by oneself
Justice accumulation and function are as follows:
In formula, δ (t1+ N Δ t) indicates t1Data accumulation and the γ ' (t of+n time Δt1+ i Δ t) indicates t1+ i time Δt
Practical acquisition status data,Indicate t1The status number that+i time Δt is obtained according to fitting function is it was predicted that N
The width of=m '+1, m ' expression current data window；
If accumulation and the threshold value less than setting, expand the width of data window, and continue the state for being fitted subsequent acquisition
Data, and export updated fitting function；If accumulation and the threshold value greater than setting, export the status data of the data window
Fitting function, and the status data of acquisition is handled using current time as initial time using new data window；
The operating status of the monitoring node is assessed according to the slope μ of the fitting function of the output, if slope μ is greater than setting
Threshold value, to the monitoring node carry out abnormality label.
Above embodiment of the present invention carries out at analysis the collected status data of monitoring node using aforesaid way
Reason, when status data is more than the threshold value of setting, marking the monitoring node is abnormal state；Meanwhile using adaptive data
Window handles status data, judges the amplitude of variation of status data, when the status data amplitude of variation of continuous collecting is little
When, it can adaptively expand the width of data window, the data of same amplitude of variation are subjected to concentration classification, reduce status data
The erroneous judgement of momentary fluctuation bring, improves accuracy.
In one embodiment, the system also includes alarm modules 5, crucial for obtaining from the monitoring node
Node is sounded an alarm when the operating status of the key node occurs abnormal.
In one embodiment, the alarm modules 5 obtain key node from the monitoring node, further wrap
It includes:
The criticality assessment score for obtaining each monitoring node, assesses score according to criticality and arranges monitoring node
The monitoring node of N% preceding in sequence is labeled as key node by column；
Wherein, the criticality assessment score with minor function by being obtained:
In formula,Indicate that the criticality of monitoring node z assesses score, mbIndicate the water inlet of the position monitoring node z
Sum,Indicate the sum of the average inflow intake in the water inlet period to the position node z, η 'zIndicate monitoring node z institute
The node betweenness for mending structure, m are opened up in urban drainage pipe network in positiondIndicate the water outlet sum of the position monitoring node z,
Indicate the sum of the average water yield being discharged in the water outlet period from the position node z, ωbAnd ωdRespectively indicate monitoring node z
The weight factor of the inflow and outflow of position,Indicate the maximum flow of water of the position monitoring node z to treatment effeciency,
υzIndicate that monitoring node z monitors current water flow；
When it is abnormal for monitoring the operating status of key node, alarm modules 5 sound an alarm message and in the displays
It is shown in module 4.
In one embodiment, N=20.
In actual conditions, since urban drainage pipe network structure is very huge and complicated, in the monitoring node number being wherein arranged
Amount is also very large, however, it has been investigated that, the operating status of some key nodes can represent this in urban drainage pipe network
The overall operation state of node region, and the key node is in relatively important position in drainage pipeline networks；In addition, working as
It is only individually some that more the monitoring node of key position does not monitor the abnormality occurred, node position week
The pipeline enclosed can assist abnormality caused by dredging the node location, and influence degree is more slight, and belonging to can be " at
The case where reason "；The key node that the present invention obtains in monitoring node through the above way makees emphasis monitoring and monitoring, can exclude
It the information of situation can be interfered " from handling ", while when abnormal conditions occurs in key node, sound an alarm message notifying in time
Manager arranges scene prevention and strategy of speedily carrying out rescue work, and improves the adaptability of urban drainage pipe network monitoring system.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of range is protected, although explaining in detail referring to preferred embodiment to the present invention, those skilled in the art are answered
Work as analysis, it can be with modification or equivalent replacement of the technical solution of the present invention are made, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (6)
1. a kind of urban drainage pipe network on-line monitoring system characterized by comprising
Data acquisition module, including the monitoring node being arranged according to the topological structure of urban drainage pipe network, the monitoring node is set
It is equipped with water level monitor and flow monitor, for obtaining the water level of the actual motion of monitoring node and data on flows and being sent to
Processing module；
Processing module, for combining the water level and data on flows, the topological structure of drainage pipeline networks, scene of monitoring node actual motion
Pipeline data, GIS data are integrated into urban drainage pipe network hydraulic model；
Analysis module, for assessing the operating status of actual cities drainage pipeline networks according to urban drainage pipe network hydraulic model.
2. a kind of urban drainage pipe network on-line monitoring system according to claim 1, which is characterized in that the monitoring node
Setting position include position, system pipe network tube bottom absolute altitude that the mixed connecting point position of rain sewage conduct, pipe network are connected with river
Pipeline crosses the corresponding live position of node in lowest position, urban drainage pipe network topological structure.
3. a kind of urban drainage pipe network on-line monitoring system according to claim 1, which is characterized in that the system is also wrapped
Display module is included, for showing the operation shape of the urban drainage pipe network hydraulic model and/or the actual cities drainage pipeline networks
State.
4. a kind of urban drainage pipe network on-line monitoring system according to claim 2, which is characterized in that the analysis module
The operating status for assessing actual cities drainage pipeline networks further comprises being somebody's turn to do according to the water level of monitoring node and data on flows assessment
The operating status of monitoring node.
5. a kind of urban drainage pipe network on-line monitoring system according to claim 4, which is characterized in that the analysis module
The operating status that the monitoring node is assessed according to the water level of monitoring node and data on flows further comprises:
The status data for obtaining the actual motion of monitoring node, wherein the state data packets include waterlevel data or data on flows；
If the status data obtained is greater than the threshold value of setting, abnormality label is carried out to the monitoring node；
Initialization data window, wherein the initial time of the data window is t1, original width m, and set you and function of use
Model are as follows: γ (t)=μ (t-t0)+λ；
When the status data number of acquisition reaches m, according to the fitting function model to the m status data using minimum two
Multiplication obtains the fitting function of the time windowWherein n=1,2 ..., m, Δ
T indicates to obtain the time interval of the status data；
Be fitted the status data of subsequent acquisition using the fitting function of acquisition, and calculate it is accumulative and, wherein what is used is customized tired
Long-pending and function are as follows:
In formula, δ (t1+ N Δ t) indicates t1Data accumulation and the γ ' (t of+n time Δt1+ i Δ t) indicates t1The reality of+i time Δt
The status data that border obtains,Indicate t1The status number that+i time Δt is obtained according to fitting function is it was predicted that N=m '
The width of+1, m ' expression current data window；
If accumulation and the threshold value less than setting, expand the width of data window, and continue the status data for being fitted subsequent acquisition,
And export updated fitting function；If accumulation and the threshold value greater than setting, the status data fitting of the data window is exported
Function, and the status data of acquisition is handled using current time as initial time using new data window；
The operating status of the monitoring node is assessed according to the slope μ of the fitting function of the output, if slope μ is greater than the threshold of setting
Value carries out abnormality label to the monitoring node.
6. a kind of urban drainage pipe network on-line monitoring system according to claim 5, which is characterized in that the system is also wrapped
Alarm modules are included, for obtaining key node from the monitoring node, when exception occurs in the operating status of the key node
When sound an alarm.
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| CN201811126349.4A CN109114430A (en) | 2018-09-26 | 2018-09-26 | Online monitoring system for municipal drainage pipe network |
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| CN201811126349.4A CN109114430A (en) | 2018-09-26 | 2018-09-26 | Online monitoring system for municipal drainage pipe network |
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Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109869638A (en) * | 2019-03-25 | 2019-06-11 | 杭州电子科技大学 | A method for initial positioning of water supply pipe network burst pipe leakage |
| CN110159929A (en) * | 2019-05-31 | 2019-08-23 | 万基泰科工集团西南科技有限公司 | Subdrainage pipe network intelligently manages big data processing method |
| CN111179118A (en) * | 2019-12-31 | 2020-05-19 | 上海杰狮信息技术有限公司 | Urban drainage pipe network monitoring point laying method and system based on spatial data model |
| CN111197341A (en) * | 2020-01-07 | 2020-05-26 | 朱杰虹 | Urban pipeline management system based on big data |
| CN111207881A (en) * | 2020-01-08 | 2020-05-29 | 安徽逻根农业科技有限公司 | Water pressure monitoring system |
| CN111520614A (en) * | 2020-04-13 | 2020-08-11 | 浙江水利水电学院 | Ecological pipe network digital management system and method |
| CN111709108A (en) * | 2019-12-27 | 2020-09-25 | 广州市市政工程设计研究总院有限公司 | Analysis method and system of pollution reduction based on big data |
| CN111707310A (en) * | 2020-06-17 | 2020-09-25 | 江苏海网信息系统集成有限公司 | Sewage pipe network monitoring system based on sea net network big data |
| CN111878712A (en) * | 2020-07-07 | 2020-11-03 | 恒天益科技（深圳）有限公司 | Method and system for monitoring uniform flow of pipe network |
| CN113266766A (en) * | 2021-05-26 | 2021-08-17 | 杭州电子科技大学 | Water supply DMA pipe burst monitoring and positioning method |
| CN113742873A (en) * | 2021-09-07 | 2021-12-03 | 安徽互佳网络信息科技有限公司 | Intelligent urban drainage management system |
| CN113887007A (en) * | 2021-12-06 | 2022-01-04 | 南京城建隧桥智慧管理有限公司 | Urban drainage monitoring system and method based on Internet of things |
| CN114510467A (en) * | 2022-01-07 | 2022-05-17 | 深圳市广汇源环境水务有限公司 | Intelligent water affair data abnormity identification method |
| CN115081095A (en) * | 2022-08-18 | 2022-09-20 | 湖南易净环保科技有限公司 | Drainage system based on artificial intelligence |
| CN115222165A (en) * | 2022-09-20 | 2022-10-21 | 国能大渡河大数据服务有限公司 | Drainage system running state prediction method and system based on Transformer model |
| CN115789527A (en) * | 2022-11-01 | 2023-03-14 | 江苏鸿利智能科技股份有限公司 | An analysis system and method based on water environment information management |
| CN115859068A (en) * | 2023-03-03 | 2023-03-28 | 四川三思德科技有限公司 | Environmental information sensing method and system for intelligent water conservancy architecture |
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| CN109869638A (en) * | 2019-03-25 | 2019-06-11 | 杭州电子科技大学 | A method for initial positioning of water supply pipe network burst pipe leakage |
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| CN111709108B (en) * | 2019-12-27 | 2024-01-23 | 广州市市政工程设计研究总院有限公司 | Pollution emission reduction analysis method and system based on big data |
| CN111709108A (en) * | 2019-12-27 | 2020-09-25 | 广州市市政工程设计研究总院有限公司 | Analysis method and system of pollution reduction based on big data |
| CN111179118A (en) * | 2019-12-31 | 2020-05-19 | 上海杰狮信息技术有限公司 | Urban drainage pipe network monitoring point laying method and system based on spatial data model |
| CN111179118B (en) * | 2019-12-31 | 2023-11-03 | 上海杰狮信息技术有限公司 | Urban drainage pipe network monitoring point layout method and system based on spatial data model |
| CN111197341A (en) * | 2020-01-07 | 2020-05-26 | 朱杰虹 | Urban pipeline management system based on big data |
| CN111207881A (en) * | 2020-01-08 | 2020-05-29 | 安徽逻根农业科技有限公司 | Water pressure monitoring system |
| CN111520614A (en) * | 2020-04-13 | 2020-08-11 | 浙江水利水电学院 | Ecological pipe network digital management system and method |
| CN111520614B (en) * | 2020-04-13 | 2022-02-18 | 浙江水利水电学院 | A digital management system and method for ecological pipe network |
| CN111707310A (en) * | 2020-06-17 | 2020-09-25 | 江苏海网信息系统集成有限公司 | Sewage pipe network monitoring system based on sea net network big data |
| CN111878712A (en) * | 2020-07-07 | 2020-11-03 | 恒天益科技（深圳）有限公司 | Method and system for monitoring uniform flow of pipe network |
| CN113266766A (en) * | 2021-05-26 | 2021-08-17 | 杭州电子科技大学 | Water supply DMA pipe burst monitoring and positioning method |
| CN113266766B (en) * | 2021-05-26 | 2022-05-20 | 杭州电子科技大学 | Water supply DMA pipe burst monitoring and positioning method |
| CN113742873A (en) * | 2021-09-07 | 2021-12-03 | 安徽互佳网络信息科技有限公司 | Intelligent urban drainage management system |
| CN113887007B (en) * | 2021-12-06 | 2022-03-04 | 南京城建隧桥智慧管理有限公司 | Urban drainage monitoring system and method based on Internet of things |
| CN113887007A (en) * | 2021-12-06 | 2022-01-04 | 南京城建隧桥智慧管理有限公司 | Urban drainage monitoring system and method based on Internet of things |
| CN114510467A (en) * | 2022-01-07 | 2022-05-17 | 深圳市广汇源环境水务有限公司 | Intelligent water affair data abnormity identification method |
| CN115081095A (en) * | 2022-08-18 | 2022-09-20 | 湖南易净环保科技有限公司 | Drainage system based on artificial intelligence |
| CN115081095B (en) * | 2022-08-18 | 2022-11-15 | 湖南易净环保科技有限公司 | Drainage system based on artificial intelligence |
| CN115222165A (en) * | 2022-09-20 | 2022-10-21 | 国能大渡河大数据服务有限公司 | Drainage system running state prediction method and system based on Transformer model |
| CN115222165B (en) * | 2022-09-20 | 2022-12-27 | 国能大渡河大数据服务有限公司 | Drainage system running state prediction method and system based on Transformer model |
| CN115789527A (en) * | 2022-11-01 | 2023-03-14 | 江苏鸿利智能科技股份有限公司 | An analysis system and method based on water environment information management |
| CN115859068A (en) * | 2023-03-03 | 2023-03-28 | 四川三思德科技有限公司 | Environmental information sensing method and system for intelligent water conservancy architecture |
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