CN103491651B - A kind of exception/fault position finding and detection method based on Two Binomial Tree Model - Google Patents
A kind of exception/fault position finding and detection method based on Two Binomial Tree Model Download PDFInfo
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Abstract
The present invention discloses a kind of exception/fault position finding and detection method based on Two Binomial Tree Model, first, the physical layout of industry pipe network is converted into binary tree structure model, the data detected are stored in the corresponding node of binary tree；Secondly, according to the relevance of information between the character of binary tree, and each detection node, the flow conservative property of industry pipe network data stream is utilized, it is achieved do not dispose the calculating of sensor node data traffic；Again, the relation between actual measured value and the calculated value of sensor, the operating condition of analytical industry, it is judged that its exception/fault type are disposed according to industry pipe network test point；Finally, utilize Two Binomial Tree Model architectural characteristic, analytical industry pipe network exception/fault position, and it is carried out early warning.The design of this invention system is simple, with low cost, breaches the traditional survey method of manually patrolling detection to exception/fault, it is achieved that to the real-time real-time detection to industry pipe network operating mode under test point limited conditions.
Description
Technical field
The present invention relates to a kind of exception/fault position finding and detection method based on Two Binomial Tree Model, limited according to disposing
The data of sensor detection, utilize the character of binary tree, and inversion reckoning goes out not dispose the data value of sensor node；
According to the flow conservation property of industrial pipeline data stream, dispose actually detected data and the calculating data value of test point
Between relation, online failure judgement type, and the relevant position broken down.This technological break-through tradition
The survey method of manually the patrolling limitation to fault detect and the time stickiness of data, it is achieved under test point limited conditions
Conduit running operating mode is monitored, belongs to the fault detection technique field of industrial pipeline network operating mode.
Background technology
Pipeline is widely used in resident's water supply, industry transmission, municipal drainage etc..At present, urban drainage pipe network event
Barrier directly influences the daily study of people, life.China's sewerage system employing interception type confluence of rainwater and sewage system,
Rain dirt separate system, regional area combined system or several standard are also deposited.Along with the expansion in city, the increase of population makes
Obtain the long-term overload operation of urban drainage pipe network.Urban pipe network is embedded in underground, last a very long time, often occurs in pipe
Silting, breakage, cannot judge intuitively the actual motion ability of pipe network and analyze.For a long time, pipe network water
Mostly stream and silting, soil's rigidity and location are artificial survey mode of patrolling (offline mode).Traditional detection method
It is difficulty with the real-time online detection of industry pipe network operating mode and the early warning of industry pipe network exception/fault.Therefore, state
More inside and outside experts have recognized that structure real-time online detecting system, accurately detection drainage pipeline networks actual condition and fortune
Row ability is extremely urgent.But, the most both at home and abroad, in on-line checking and pipeline alluvial, the leakage loss of drainage pipeline networks
Estimate aspect lag significantly behind drainage pipeline networks automated informationization management system construction.
For the detection of fault, location such as the alluvial in drainage pipeline networks, leakage losses, it is presently mainly to enter with offline mode
OK, generally depend on the single instrument and equipment artificial alluvial to pipeline/blocking, leakage loss etc. at the scene to examine
Survey.Use detection equipment specifically include that pipeline Close Circuit Television (CCTV), periscope, pipeline scanning with
Evaluate (SSET) equipment, pipe robot, ultrasonic unit etc..But, these detection techniques and means
The on-line real-time measuremen demand of the drainage pipeline networks fault to wide area dispersed distribution cannot be met.By to circular pipe
The startup of middle silt and in the case of not becoming silted up Bedload Movement carry out model test, show that respective silt starts stream
Speed empirical equation.With the minimum flow velocity of this empirical equation design pipeline water flow to reduce the deposition of silt.Relevant pressure
Hydraulic piping leak detection positions leak detection based on barometric gradient location, leakage based on conduit running model inspection
Measure the method such as position, leak detection location based on suction wave.Pressure gradient method needs to arrange more sensor
And it is suitable for the situation that pressure is bigger.Therefore, the method is not suitable for the leakage loss detection of the drainage pipeline without pressure.
Negative pressure wave method is relatively more effective when the fairly large leakage that detection occurs suddenly, but for continuation, small-scale
Revealing, negative pressure waveform is difficult to identified and detection.In multiple-limb pipe network, negative pressure wave method be difficult to differentiate between branch or
The pressure oscillation that the shunting of node moment causes and the difference truly revealing the pressure oscillation caused；Therefore it is also not suitable for
Leakage loss in pipeline detects.The hard measurement mode of development in recent years realize the detection to fault, location obtained at the beginning of
Step application, but the domestic application technique system not yet forming maturation.
Summary of the invention
Goal of the invention: for problems of the prior art, the present invention provides a kind of based on Two Binomial Tree Model
Exception/fault position finding and detection method.Employing Industrial Wireless (Industrial Wireless Technology),
WSN (Wireless Sensor Network, wireless sensor network) technology, at the limited bar of sensor node deployment
Under part, water level, flow and water quality that drainage pipeline networks key area is disposed sensor detection carry out network collection biography
Defeated, by drainage pipeline networks graph topology structure with in pipe network current connect characteristic, utilize inversion reckoning to go out city
The test point of drainage pipeline networks respectively flow into data；By the flow conservativeness of urban drainage pipe network hydraulic model
Matter, the outflow data utilizing the inflow data of inversion reckoning pipe detection point and test point to survey compare, right
The fault type of drainage pipeline networks judges；By graph theory traversal principle test point each to drainage pipeline networks inflow/
Outflow data compare, and utilize the upstream-downstream relationship of urban drainage pipe network water flow data, to urban drainage pipe network
Abort situation position.This invention, under key area coverage condition, decreases detection sensor deployment
Quantity, has saved input cost, and has overcome Traditional Man and patrol the time stickiness of survey method Data Detection, improves
Detection ageing.This invention effectively to the operation conditions real-time online fault detect of urban drainage pipe network with
Location, the safe operation for urban drainage pipe network provides guarantee basis.
Technical scheme: a kind of exception/fault position finding and detection method based on Two Binomial Tree Model,
Because the structure of drainage pipeline networks is complicated, connect between the connectedness of pipe network and each Pipeline Water information data of detection
General character relation is difficult to represent；So first, according in industry external channeling characteristic and pipe network data stream " on
Downstream " relation, the physical arrangement of urban drainage pipe network is abstracted into the tree of graph theory, then tree-shaped is tied
Structure is converted into binary tree structure.The characteristic of drainage pipeline networks is described by the general principle utilizing binary tree, will pipe
The node that every segment pipe in net is abstracted in tree；The limit of the physical connectivity tree of pipeline carries out table
Show；The water (flow) direction of the drainage pipeline networks direction on tree limit describes；Pipe is represented by the in-degree/out-degree of tree
The inflow/outflow data relationship of road Rendezvous Point current.
Drainage pipeline networks is embedded in underground, last a very long time, detects to the operating mode of pipe network and brings, with safeguarding, the inconvenience arrived very much.
The method of traditional inspection mainly manually patrols survey method, and the cycle of measurement is long, and working strength is big, is difficult to pipe network
Operating condition promptly and accurately analyze and process.The present invention is according to the abstract graphic structure of urban drainage pipe network, profit
Use binary tree attribute, dispose wireless senser at its key node.By connectedness and the water of urban drainage pipe network
The flow conservation theorem of mechanical model, it is achieved key area covers.Reach real-time, online drainage pipeline networks run
Operating mode is monitored.
Along with urbanization process advances, urban drainage pipe network system is more and more huger, and structure becomes increasingly complex.Right
The detection of whole sewerage pipeline network data, is not only restricted by urban environment, the sensor also disposed
Economic impact, is difficulty with the detection of the fact that all data of monitoring point.The present invention is by abstract municipal drainage pipe
Net binary tree structure figure and binary tree structure characteristic, utilize urban drainage pipe network key area, limited sensor
The pipeline water flow data of detection, Inversion Calculation goes out not dispose the flow information of water of sensor node, it is achieved arrange city
The estimation of grid system all monitoring points related data.
Urban drainage pipe network detail design lags far behind the process of urbanization；Building urban drainage pipe network construction
During, some supervision department not as, construction quality is affected by certain；Urban drainage pipe network is embedded in ground
Under, can not get the attention of government department for a long time, be difficult in time accident of pipeline network be detected.Traditional detection side
Method is all that pipe network is detected by off-line, and whole Period Process is long, is difficult to meet the requirement of modern management.This
Bright, according to urban drainage pipe network characteristic, utilize the flow conservative property that St.Venant side claims, to urban drainage pipe network
The actually measured data in monitoring point compare with the data of Inversion Calculation, are analyzed its result, it is judged that pipe
Whether road there is exception, and the type of fault when occurring abnormal.When realizing urban drainage pipe network operating mode real
On-line system detection and breakdown judge.
Urban drainage pipe network is embedded in underground and structure is complicated.Therefore, it is difficult to the position breaking down pipeline is entered
Row location.The present invention according to the fault that urban drainage pipe network performance analysis is obtained, utilize pipeline water flow " on
Downstream " logical relation between relation, and the connectedness of drainage pipeline networks and the node of network topology structure,
Trouble point is positioned.
Beneficial effect: the present invention by urban drainage pipe network is being disposed under the conditions of limited wireless sensor network,
Realize in real time the operation conditions of pipe network being detected online, utilize flexible measurement method to urban drainage pipe network
Fault carries out differentiating and positioning.This invention solves the realistic problem that current urban drainage pipe network faces very well, no
It is only capable of the operating condition monitoring urban drainage pipe network timely and accurately, is also the Breakdown Maintenance of urban drainage pipe network
Provide reliable decision-making foundation.
Accompanying drawing explanation
Fig. 1 is the inventive method flow chart；
Fig. 2 is pipe network result transition diagram；
Fig. 3 is that data of monitoring point estimates flow chart；
Fig. 4 is fault type decision flow chart；
Fig. 5 is fault location flow chart.
Detailed description of the invention
Below in conjunction with specific embodiment, it is further elucidated with the present invention, it should be understood that these embodiments are merely to illustrate this
Invention rather than restriction the scope of the present invention, after having read the present invention, those skilled in the art are to this
The amendment of the bright various equivalent form of values all falls within the application claims limited range.
Exception/fault position finding and detection method based on Two Binomial Tree Model, first ties the physics of urban drainage pipe network
Structure is abstracted into the tree of graph theory, then tree is converted into binary tree structure.Utilize the basic of binary tree
The characteristic of drainage pipeline networks is described by principle, the node being abstracted in tree by the every segment pipe in pipe network；Pipeline
The limit of physical connectivity tree be indicated；The direction on the water (flow) direction tree limit of drainage pipeline networks is retouched
State；The inflow/outflow data relationship of pipe influx point current is represented by the in-degree/out-degree of tree.Pass through
Abstract urban drainage pipe network binary tree structure figure and binary tree structure characteristic, utilize urban drainage pipe network crucial
Region, the pipeline water flow data of limited sensor detection, Inversion Calculation goes out not dispose the current letter of sensor node
Breath, it is achieved the estimation of monitoring points all to urban drainage pipe network system related data.Special according to urban drainage pipe network
Property, utilize the flow conservative property of Saint-Venant equation, to the actually measured data in urban drainage pipe network monitoring point with
The data of Inversion Calculation compare, and are analyzed its result, it is judged that whether pipeline occurs exception, Yi Jifa
The type of fault during raw exception.The existing real-time on-line system detection realizing urban drainage pipe network operating mode is sentenced with fault
Disconnected.
Fig. 1 is the general structure of exception/fault position finding and detection method based on Two Binomial Tree Model.First, system
Receive the detection data disposing sensor；Secondly, system, by the logical relation according to a test point data, calculates
Go out not dispose the data value of test point；Again, according to detected value and the relation of calculated value of detection node data,
Judge conduit running operating mode, exception/fault type is judged；Finally, position pipeline broken down
Carry out positioning and providing early warning.
As in figure 2 it is shown, by abstract for the urban drainage pipe network of the physical layout fully connected topology for its logic.Its
Middle a figure describes the physical layout of urban drainage pipe network, and in figure, capitalization represents a corresponding segment pipe
Mark；Arrow represents the direction of current in drainage pipeline；Each segment pipe has corresponding inflow and outflow current；
Crosspoint in Tu, represents the joint of urban drainage pipe network.B figure is abstract to a figure physical layout, will
In urban drainage pipe network, a segment pipe is abstracted into corresponding node in figure；Line in figure represents the connection of pipeline
Relation；In physical layout, in pipeline, current correspond to point to root node from child node stream in the drawings, each node
Flowing into the outflow current of data correspondence corresponding pipeline, the outflow data of node represent the inflow data of corresponding pipeline；
The degree of node represents that putting at certain of pipe network collects corresponding pipeline relation.Owing to binary tree is closed at statement logical place
Having certain advantage in system, computational methods, therefore, newly-generated tree is converted into its binary tree structure.Now,
Each node in tree is up to two pointers: a pointer points to first child, and another pointer points to the right side
First, side brother, when the two pointer is regarded as the left child pointers in binary tree and child's right pointer, just
It is a binary tree, as shown by c.
Consider layout character and the economic factor of urban drainage pipe network, urban drainage pipe network is realized based on key
The WSN Coverage Control that area logic covers.Dispose entering of website/detected region of sensor in view of planning more
The complexity of coupled relation between stream/discharging characteristic, and interregional, multi-source detection information, for WSN detection joint
The irregular deployment of point, based on operational lifetime and energy-conservation, in the WSN ordinary circumstance connection that transformation is traditional
Property physics Coverage Control model on the basis of, it is ensured that key area information covers under premise, proposes based on key area
The WSN overlapping control method of territory Logic coverage.Implement step: distinguishing crucial test point and general inspection
On the premise of measuring point, create measuring point distribution map according to the weights that information communication sexual intercourse distribution between measuring point is different；And
Merge mode with iteration and create weighting node Steiner tree (distribution tree of total Least-cost), and then formation has
The set of minimal number of crucial measuring point, controls the sleep of WSN node and wakes, it is achieved key area information
Cover.The remote online work configuration of each website/sensor.For the change of urban drainage pipe network system condition
Emergency disposal, website/sensor fault and the needs with remote maintenance that calibrate for error, design reconfigurable
(Reconfigable Sensor) website/sensor.Use the Micro Energy Lose low cost of American TI Company
MSP430C323 chip development WSN node module, node module uses the embedded of we oneself exploitation
TRS-OS micro OS and the Zigbee communication agreement of built-in brief version, support telework configuration.Converge
Node apparatus uses Industrial Wireless and GPRS mode to be connected with public network, and supports miniature Web service.
Fig. 3 is the actually detected data by disposing sensor node, estimates and does not disposes sensor node phase
The data value answered.Use postorder traversal method to carry out recursive calculation to not disposing website Monitoring Data, derive each
The pipeline not disposing website flows into data.C in conjunction with Fig. 2 schemes, it is contemplated that the data disposing sensor node are
Measured value, the data of all nodes can be estimated by measured value.First, certain node is accessed, when this
When node does not also have calculation flag, this node is indicated accordingly, represent that this node is to estimate its data value；
Secondly, access corresponding child node, it is judged that the type of its son node number evidence, if measured data, then by reality
Measurement data participates in calculating, and otherwise participates in calculating with estimated data, and according to algorithm, then node p flows into data valueLeft pointer for node p points to the pipeline outflow data value of node,The pipeline connecting node for the recursive calculation right pointer of node of graph p' flows into data value.Under finally judging
One calculates whether node is empty, if the most empty, then continue to calculate, otherwise will move out the data value of estimation monitoring point.
Fig. 4 represents the detection to urban drainage pipe network fault.First, according to the hydraulics of pipeline flow conservation
The data of model, the result that preorder traversal is regular and recursion method is to calculating and detection are according to formula:Process.qpRepresent and import node p flow,For node p's
Left sibling flows into data value,The inflow data value of node is connected for the right pointer of recursive calculation p',
The data value flowed out at k moment pipeline/net for crosspoint p.Secondly.Utilize retrogressive method according to flow conservation
Attribute, compares the actual measurement data and estimated data disposing sensor node.Respectively save at drainage pipeline
Point max-flow output passes through Q' not less than under maximum influx constraintspCarry out judging the exception class of drainage
Type, works as Q'p=0, show that pipeline is normal；Work as Q'p＜ 0, shows pipeline fault, has water to flow into；Work as Q'p＞ 0,
Show pipeline fault, have sewage to flow out；Work as qpTake negative value alsoIt is not reaching to max-flow output, shows pipeline
The blocking of/net.
The Fig. 5 location to its pipeline fault.According to the type of drainage pipeline abnormity point, first, traversal side is utilized
Method accesses node, and is identified；Secondly, it is judged that the most faulty type of this node, if faulty, according to
The connectedness of figure can position the point range that breaks down, otherwise, by access next node and judge.?
Afterwards until all nodes all access and terminate.
The present invention, first, according to the pass of " upstream and downstream " of data stream in industry external channeling characteristic and pipe network
System, is converted into binary tree structure model by the physical layout of industry pipe network, the data detected is stored in y-bend
Set corresponding node；Secondly, according to the relevance of information, profit between the character of binary tree, and each detection node
Flow conservative property with industry pipe network data stream, it is achieved do not dispose the calculating of sensor node data traffic；Again
Secondary, dispose the relation between actual measured value and the calculated value of sensor according to industry pipe network test point, analyze work
The operating condition of industry, it is judged that its exception/fault type；Finally, utilize Two Binomial Tree Model architectural characteristic, analyze
Industry pipe network exception/fault position, and it is carried out early warning.The design of this invention system is simple, with low cost,
Breach the traditional survey method of manually patrolling detection to exception/fault, it is achieved that right under test point limited conditions
Real-time detection to industry pipe network operating mode, is used in urban drainage pipe network, public supply mains, oil/gas in real time
The exception/fault detection and localization of pipeline transmission network etc..First, the physical layout of industry pipe network is converted into binary tree
The data detected are stored in the corresponding node of binary tree by structural model；Secondly, according to the character of binary tree,
And respectively detect the relevance of information between node, utilize the flow conservative property of industry pipe network data stream, it is achieved not
Dispose the calculating of sensor node data traffic；Again, the reality of sensor is disposed according to industry pipe network test point
Relation between measured value and calculated value, the operating condition of analytical industry, it is judged that its exception/fault type；?
After, utilize Two Binomial Tree Model architectural characteristic, analytical industry pipe network exception/fault position, and it is carried out early warning.
The design of this invention system is simple, with low cost, breaches the traditional survey method of manually patrolling inspection to exception/fault
Survey, it is achieved that in real time the real-time of industry pipe network operating mode being detected under test point limited conditions, be used in city
Drainage pipeline networks, public supply mains, the exception/fault detection and localization of oil/gas pipeline transmission network etc..
Claims (4)
1. an exception/fault position finding and detection method based on Two Binomial Tree Model, it is characterised in that: first by city
The physical arrangement of city's drainage pipeline networks is abstracted into the tree of graph theory, then tree is converted into binary tree knot
Structure；The characteristic of drainage pipeline networks is described by the general principle utilizing binary tree, is taken out by the every segment pipe in pipe network
Node as Cheng Shuzhong；The limit of the physical connectivity tree of pipeline is indicated；The current of drainage pipeline networks
The direction on tree limit, direction describes；By the in-degree/out-degree of tree represent the inflow of pipe influx point current/
Flow out data relationship；By abstract urban drainage pipe network binary tree structure figure and binary tree structure characteristic, profit
By urban drainage pipe network key area, the pipeline water flow data of limited sensor detection, Inversion Calculation goes out not dispose
The flow information of water of sensor node, it is achieved the estimation of monitoring points all to urban drainage pipe network system related data；
According to urban drainage pipe network characteristic, utilize the flow conservative property of Saint-Venant equation, urban drainage pipe network is monitored
The actually measured data of point compare with the data of Inversion Calculation, are analyzed its result, it is judged that pipeline is
No generation is abnormal, and the type of fault when occurring abnormal；Thus realize urban drainage pipe network operating mode real-time
Wire system detection and breakdown judge.
2. exception/fault position finding and detection method based on Two Binomial Tree Model as claimed in claim 1, its feature
It is: the WSN overlapping control method of urban drainage pipe network key area Logic coverage, implements step:
On the premise of distinguishing crucial test point and general test point, distribute not according to information communication sexual intercourse between test point
Same weights create test point distribution map；And create weighting node Steiner tree in iteration merging mode, and then
Form the set with minimal number of crucial measuring point, control the sleep of WSN node and wake, it is achieved be crucial
Area information covers, and wherein WSN is wireless sensor network english abbreviation, and Steiner tree is total Least-cost
Distribution tree.
3. exception/fault position finding and detection method based on Two Binomial Tree Model as claimed in claim 1, its feature
It is:
By disposing the actually detected data of sensor node, estimate and do not dispose the corresponding data of sensor node
Value, uses postorder traversal method to carry out recursive calculation to not disposing website Monitoring Data, derives and respectively do not dispose station
The pipeline of point flows into data；First, access certain node, when this node does not also have calculation flag, to this node
Indicate accordingly, represent that this node is to estimate its data value；Secondly, access the corresponding child node of described node,
Judge the type of its son node number evidence, if measured data, then participate in calculating by actual measurement data, otherwise use
Estimated data participates in calculating, and according to algorithm, then node p flows into data value For
The left pointer of node p points to the pipeline of node and flows out data value,Right for recursive calculation node of graph p'
Pointer connects the pipeline of node and flows into data value；Finally judge whether next calculating node is empty, if the most empty,
Then continue to calculate, otherwise will move out the data value of estimation monitoring point.
4. exception/fault position finding and detection method based on Two Binomial Tree Model as claimed in claim 3, its feature
Be: in the detection to urban drainage pipe network fault, first, according to the hydraulic model of pipeline flow conservation,
The data of result to calculating of preorder traversal rule and recursion method and detection are according to formula:
Process, qpRepresent and import node p flow,For node p's
Left sibling flows into data value,The inflow data of node are connected for the recursive calculation right pointer of node of graph p'
Value,The data value flowed out at k moment pipeline/net for crosspoint p；Secondly, utilize retrogressive method according to stream
Amount conservation attribute, compares the actual measurement data and estimated data disposing sensor node；At drainpipe
Road each node max-flow output passes through Q' not less than under maximum influx constraintspCarry out judging the different of drainage
Often type, works as Q'p=0, show that pipeline is normal；Work as Q'p＜ 0, shows pipeline fault, has water to flow into；When
Q'p＞ 0, shows pipeline fault, has sewage to flow out；Work as qpTake negative value alsoIt is not reaching to max-flow output,
Show pipeline/net blocking.
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| CN101339421A (en) * | 2008-08-11 | 2009-01-07 | 伍华本 | Wireless control water leakage detection protector |
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| CN103491651A (en) | 2014-01-01 |
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