CN105927863B - DMA subregions pipeline network leak on-line checking alignment system and its detection localization method - Google Patents
DMA subregions pipeline network leak on-line checking alignment system and its detection localization method Download PDFInfo
- Publication number
- CN105927863B CN105927863B CN201610302392.6A CN201610302392A CN105927863B CN 105927863 B CN105927863 B CN 105927863B CN 201610302392 A CN201610302392 A CN 201610302392A CN 105927863 B CN105927863 B CN 105927863B
- Authority
- CN
- China
- Prior art keywords
- data
- pressure
- period
- dma
- monitoring point
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
- F17D5/02—Preventing, monitoring, or locating loss
- F17D5/06—Preventing, monitoring, or locating loss using electric or acoustic means
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Examining Or Testing Airtightness (AREA)
Abstract
The present invention relates to tap water supply pipe network leak detection technology fields, a kind of DMA subregions pipeline network leak on-line checking alignment system and its detection localization method, wherein, system includes DMA subregion tap water main line, DMA subregions the 1st, 2 ... N 1, N tap water bye-pass, data acquisition unit, pressure sensing cell, sonic detection unit, system server and work station, the data acquisition unit, on the tap water main line of DMA subregions inlet, and pass through GPRS/3G/4G modules and data are uploaded to system server；Described 1st, 2 ... N 1, on N tap water bye-passes, it is separately installed with pressure sensing cell or sonic detection unit or pressure sensing cell and sonic detection unit, data, are uploaded to system server at sonic detection unit by the pressure sensing cell by GPRS/3G/4G modules respectively, are communicated between system server and work station by Industrial Ethernet.The present invention is suitable for groundwater supply pipe network, the end pipe network leak diagnostics and orientation problem that are easily installed, have well solved each DMA subregions in city.
Description
Technical field
The present invention relates to a kind of DMA subregions pipeline network leak on-line checking alignment system and its detection localization methods, belong to certainly
Water water supply network leak detection technology field.
Background technology
It is that economic effect improves in urban water supply company that " non-income water rate " caused by public supply mains leakage, which remains high,
The major obstacles of benefit.Public supply mains leakage is mostly derived from the magnanimity leakage accumulation of the small leak point of water supply network end.Such as
Fruit accurately detects, positions the leak point of public supply mains not in time, it will causes greatly to waste to water resource.
With the development of modern city, it is city that the optimization of public supply mains, which is transformed with decoupling, carries out reasonable DMA subregions,
The common recognition and development trend of city's water supply industry.The reasonably optimizing construction and upgrading of water system pipe network independent measure subregion (DMA)
It is simplified pipe network topology, balance pipe network load, improves water supply security and strengthen the necessary of water system monitoring and management level
Road.
Invention content
In order to overcome the problems, such as that prior art exists, the present invention proposes a kind of DMA subregions pipeline network leak on-line checking positioning
System and its detection localization method, the system are suitable for groundwater supply pipe network environment, are easily installed, are of low cost, solve well
It has determined the leak diagnostics and orientation problem of public supply mains DMA subregions end pipe network, leakage point can be detected in time, reduced
A large amount of losses of water resource.
In order to achieve the above-mentioned object of the invention, the technical solution adopted by the present invention is：A kind of DMA subregions pipeline network leak is examined online
Alignment system is surveyed, it is single including DMA subregion tap water main line, DMA subregions the 1st, 2 ... N-1, N tap water bye-passes, data acquisition
Member, pressure sensing cell, sonic detection unit, system server and work station, the data acquisition unit, including pressure sensing
Device, flow sensor and data acquisition RTU modules, wherein pressure sensor, flow sensor are mounted on DMA subregions inlet
On tap water main line, data acquisition RTU modules are mounted on the borehole wall of adjacent valve well, and the pressure sensor, flow pass
Sensor is connected respectively with two RS-485 interfaces in data acquisition RTU modules, for that will collect DMA subregions inlet originally
Pressure, data on flows on water main line acquire the GPRS/3G/4G modules of RTU modules with periodically or real by being built in data
When mode data are uploaded to system server；On the DMA subregions the 1st, 2 ... N-1, N tap water bye-passes, according to scene
Operating mode is separately installed with pressure sensing cell or sonic detection unit or pressure sensing cell and sonic detection unit, the pressure
Detection unit, the pressure sensor including being mounted on DMA subregion tap water bye-passes and the borehole wall mounted on adjacent valve well
On data acquisition RTU modules, the sonic detection unit, including the pipeline sound being mounted on DMA subregion tap water bye-passes
Sensor and the data acquisition RTU modules on the borehole wall of adjacent valve well, the pressure sensor, pipeline sonic transducer
It is connected respectively with RS-485 interfaces in data acquisition RTU modules, for that will collect on the tap water bye-pass in DMA subregions
Pressure and sonic data by be built in data acquire the GPRS/3G/4G modules of RTU modules by timing or in real time in a manner of by number
According to system server is uploaded to, communicated between system server and work station by Industrial Ethernet；The work station, packet
It includes data collection control unit, statistical model parameter calculation unit, pipe network diagnosis unit, sound characteristics and calculates analytic unit, leakage
Leak hunting positioning unit and DMA partition monitor display units are put, wherein, the data collection control unit further includes acquisition target
Subelement, data acquisition scheme configuration subelement, data transmit-receive and communications protocol parsing subunit, real-time database data management is configured
Subelement, history bank interface subelement and located in connection data acquisition Collaborative Control subelement, based on data acquisition unit, pressure
Detection unit and the data of sonic detection unit acquisition, are completed jointly through statistical model parameter calculation unit and pipe network diagnosis unit
The judgement and the judgement in leakage orientation that pipeline network leak whether there is, sound characteristics calculate analytic unit completion and judge to leak orientation week
The pipeline sonic data enclosed calculates.
A kind of detection localization method of DMA subregions pipeline network leak on-line checking alignment system, includes the following steps：
Step 1 establishes DMA water rationing pipe network operation state rule statistical models, before the statistical models are established
It carries as pipeline normal operation and No leakage, according to actual condition, was divided into n period by 24 hours, 1 is shared in DMA subregions
Flow monitoring point, p pressure monitoring point specifically include following sub-step：
(a) flow sensor acquires m DMA subregion originally in DMA subregions entry data collecting unit in the single period
Water main line data on flows acquires 1 data on flows, when each data on flows includes the acquisition of the data on flows every time
Between, find the maximum value max of data on flows in the period1And minimum value min1, peak-to-peak value P1It is calculated by formula (1),
P1=max1-min1(1)
The average value of DMA subregions tap water main line data on flows in the periodIt is calculated by formula (2),
In formula, m represents the DMA subregion tap water main line data on flows total numbers acquired in the period, XiRepresenting should
I-th of data in period in m DMA subregion tap water main line data on flows, DMA subregions tap water in the single period
The variance yields s of main line data on flows1 2It is calculated by formula (3),
(b) settling time-discharge model repeats sub-step (a) n times, calculates respectively in one day in n different time sections
DMA subregion tap water main line datas on flows peak-to-peak value, average value and variance yields record DMA subregions in the 1st period first
Tap water main line data on flows peak-to-peak value, average value and variance yields, and it is corresponding with the data acquisition time with data on flows
Relationship, using the time as horizontal axis, the data on flows of DMA subregions entry data collecting unit flow sensor is the longitudinal axis in the period
Curve is established, that is, establishes model Q1, then with DMA subregion tap water main line datas on flows peak-to-peak value in the 2nd period, flat
Mean value and variance yields, and with the correspondence of data on flows and the data acquisition time, using the time as horizontal axis, in the period
The data on flows of DMA subregion entry data collecting unit flow sensors establishes curve for the longitudinal axis, that is, establishes model Q2, class according to this
DMA subregion tap water main line datas on flows peak-to-peak value, average value and variance yields in n-th of period of record are pushed away, and with flow
Data and the correspondence of the data acquisition time, using the time as horizontal axis, DMA subregions entry data collecting unit in the period
The data on flows of flow sensor establishes curve for the longitudinal axis, that is, establishes model Qn, according to the above-mentioned mould of variation dynamic corrections of data
Type Q1~Qn；
(c) pressure sensor acquires k number pressure in single pressure monitoring point in pressure sensing cell in the single period
According to each to acquire 1 pressure data, each pressure data includes the acquisition time of the pressure data, so when single
Between in section, the common k of single monitoring point acquisition pressure data is a, finds the maximum value max of pressure data in the period2And minimum value
min2, peak-to-peak value P2It is obtained by formula (4),
P2=max2-min2 (4)
The average value of single pressure monitoring point pressure dataIt is calculated by formula (5),
In formula, k represents the pressure data total number of single pressure monitoring point acquisition in the period, XjRepresent the period
J-th of data in the pressure data that single pressure monitoring point acquires in interior, the variance yields s of single pressure monitoring point pressure data2 2
It is calculated by formula (6),
(d) sub-step (c) p times is repeated, calculates in the single period the 1st pressure detecting o'clock to p-th of pressure monitoring point
Peak-to-peak value, average value and the variance yields of pressure data；
(e) settling time-pressure model repeats sub-step (d) n times, and it is interior to n-th to calculate the 1st period in one day
The peak-to-peak value of the 1~p pressure monitoring point pressure data, average value and variance yields in period record the 1st period first
Interior 1st pressure monitoring point pressure data peak-to-peak value, average value and variance yields, and when being acquired with pressure data and the pressure data
Between correspondence, using the time as horizontal axis, the 1st pressure monitoring point pressure data establishes curve for the longitudinal axis in the 1st period,
Establish model P11；The 2nd pressure monitoring point pressure data peak-to-peak value, average value and variance yields in the 1st period are recorded, and
With pressure data and the correspondence of the pressure data acquisition time, using the time as horizontal axis, the 2nd pressure monitoring in the period
It presses force data and establishes curve for the longitudinal axis, that is, establish model P12；P-th of pressure monitoring point number pressure in the rest may be inferred period
According to peak-to-peak value, average value and variance yields, and with pressure data and the correspondence of the pressure data acquisition time, using the time as horizontal stroke
Axis, p-th of pressure monitoring point pressure data establishes curve for the longitudinal axis in the period, that is, establishes model P1p, similarly, record respectively
The 1~p pressure monitoring point pressure data peak-to-peak value, average value and variance yields in 2nd period, in the 2nd period
The correspondence of pressure data and the pressure data acquisition time, using the time as horizontal axis, pressure monitoring point pressure in the period
Data establish curve for the longitudinal axis, that is, establish model P21~P2p, and so on the 1~p pressure in n-th of period is recorded respectively
Power monitoring point pressure data peak-to-peak value, average value and variance yields are acquired with pressure data in n-th of period and the pressure data
The correspondence of time, using the time as horizontal axis, pressure monitoring point pressure data establishes curve for the longitudinal axis in the period, that is, establishes
Model Pn1~Pnp.According to the above-mentioned model P of the variation dynamic corrections of data11~P1p、P21~P2pUntil Pn1~Pnp；
(f) flow rate pressure model is established, records DMA subregions tap water main line data on flows and p pressure prison in one day
Measuring point data, first, with different DMA subregions tap water main line datas on flows and pair of the 1st pressure monitoring point pressure data
It should be related to, flow is horizontal axis, and pressure establishes the 1st pressure monitoring point flow rate pressure model A for the longitudinal axis1, then, with different DMA
Subregion tap water main line data on flows and the correspondence of the 2nd pressure monitoring point pressure data, flow is horizontal axis, and pressure is
The longitudinal axis establishes the 2nd pressure monitoring point flow rate pressure model A2, and so on different DMA subregions tap water main line flows
Data and the correspondence of p-th of pressure monitoring point pressure data, flow are horizontal axis, and pressure establishes p-th of pressure prison for the longitudinal axis
Measuring point flow rate pressure model Ap；
Step 2, leak diagnostics unit judges are with the presence or absence of leakage point and leakage orientation, according to actual conditions, setup algorithm
Window time length, window time length are denoted as t, and system of the present invention can set the threshold value of each item data, specifically include with
Lower sub-step：
(a) current slot is set as d-th of period, is calculated current d-th by formula in step 1 sub-step (a) (1)
The peak-to-peak value of DMA subregions tap water main line data on flows in period is calculated by formula in step 1 sub-step (a) (2) and worked as
The average value of DMA subregions tap water main line data on flows, passes through formula in step 1 sub-step (a) in preceding d-th of period
(3) variance yields of DMA subregion tap water main line datas on flows in current d-th of period is calculated, is recorded described above current
Peak-to-peak value, average value and variance yields in d-th of period, with the correspondence of data on flows and the data acquisition time, with when
Between for horizontal axis, data on flows establishes curve for the longitudinal axis in current d-th of period, that is, establishes model S, by peak-to-peak value in model S,
Average value and variance yields and the when m- discharge model Q of foundation in step 1 sub-step (b)1~QnIn the corresponding period model
QdCompared with middle peak-to-peak value, average value are corresponding with variance yields, if the difference of peak-to-peak value is less than system thresholds, the difference of average value
Difference with variance yields is more than system thresholds, then judges that the DMA subregions have leakage, if peak-to-peak value, average value and variance yields
Difference be more than system thresholds, then within the period with the length of window t of default calculate data on flows average valueVariance yields st 2If the period initial time is T1, end time T2, which is divided into the 1st window T1~T1
+ t, the 2nd window t~T1+ 2t ... ..., x-th of window T1+ xt~T2, data on flows average value is calculated in y-th of windowVariance yields st 2, average valueIt is calculated by formula (7),
In formula, e represents data on flows total number in y-th of window, XfIt represents in y-th of window in data on flows total number
F-th of data, variance yields st 2It is calculated by formula (8),
Find the average value of the 1st data on flows in the period, variance yields with it is corresponding when m- discharge model QdBe averaged
Value, variance yields record the initial time t of the window compared to the window for being more more than system thresholds1；It finds last in the period
The average value of 1 data on flows, variance yields with it is corresponding when m- discharge model QdAverage value, variance yields compared to more be more than be
The window for threshold value of uniting records the initial time t of the window2, the 1st there is abnormal window and abnormal window occurs to last one
Time difference between mouthful is denoted as Δ t, and Δ t is calculated by formula (9),
Δ t=t2-t1 (9)
If Δ t is more than the maximum time interval of default, judge there is leakage；
If (b) judge that pipe network has leakage in the DMA subregions in step 2 sub-step (a), according to step 1 sub-step (c)
Middle formula (4) calculates the peak-to-peak value of p pressure monitoring point in current d-th of period, according to formula in step 1 sub-step (c)
(5) average value of p pressure monitoring point is calculated in current d-th of period and according to formula in step 1 sub-step (c) (6) meter
The variance yields of p pressure monitoring point in current d-th of period is calculated, if the peak-to-peak value of u-th of pressure monitoring point, average value and side
Difference one of which or two or three correspond to threshold value more than system, then find the pressure monitoring point in current d-th of period
Maximum value and minimum value, according to the corresponding acquisition time of maximum value of the pressure monitoring point in current d-th of period, in step
Corresponding flow value B is found in the model S that rapid 2 sub-step (a) is establishedmax, while according to the pressure in current d-th of period
The maximum value of monitoring point, the model A established in step 1 sub-step (f)uIn find pressure prison in current d-th of period
The corresponding flow value C of maximum value of measuring pointmax；According to the minimum value of the pressure monitoring point in current d-th of period it is corresponding when
Between point, step 2 sub-step (a) establish model S in find corresponding flow value Bmin, while according to current d-th of period
The minimum value of the interior pressure monitoring point, the model A established in step 1 sub-step (f)uIn find in current d-th of period
The corresponding flow value C of minimum value of the pressure monitoring pointmin, by BmaxWith CmaxIt compares, BminWith CminIt compares, if described above two
Xiang Jun is more than system thresholds, then pipeline section has leakage where judging the pressure monitoring point, completes the orientation judgement to leakage point；
Step 3 judges the orientation of leakage point according in step 2 leak point positioning unit starting is installed on and the orientation
The sonic transducer of relevant position completes sonic data and acquires and calculate, and leakage point is calculated according to located in connection survey calculation method
Away from the distance for closing on sonic transducer.
Present invention has the advantages that：A kind of DMA subregions pipeline network leak on-line checking alignment system, including DMA subregions originally
Water main line, DMA subregions the 1st, 2 ... N-1, N tap water bye-passes, data acquisition unit, pressure sensing cell, sonic detection list
Member, system server and work station, the data acquisition unit acquire RTU including pressure sensor, flow sensor and data
Module, wherein pressure sensor, flow sensor are mounted on the tap water main line of DMA subregions inlet, data acquisition RTU
Module is mounted on the borehole wall of valve well, and the pressure sensor, flow sensor acquire in RTU modules two with data respectively
RS-485 interfaces are connected, and pressure, the data on flows for that will collect on the tap water main line of DMA subregions inlet pass through interior
Be placed in the GPRS/3G/4G modules of data acquisition RTU modules by timing or in real time in a manner of data are uploaded to system server；
On the DMA subregions the 1st, 2 ... N-1, N tap water bye-passes, pressure sensing cell or sound are separately installed with according to field working conditions
Wave detection unit or pressure sensing cell and sonic detection unit, the pressure sensing cell, including being mounted on DMA subregions originally
Pressure sensor on water bye-pass and the data acquisition RTU modules on the borehole wall of adjacent valve well, the sound wave inspection
Survey unit, the pipeline sonic transducer including being mounted on DMA subregion tap water bye-passes and the borehole wall mounted on adjacent valve well
On data acquisition RTU modules, the pressure sensor, pipeline sonic transducer respectively with data acquisition RTU modules on RS-485
Interface is connected, for the pressure on the tap water bye-pass that will collect in DMA subregions and sonic data by being built in data
Acquire the GPRS/3G/4G modules of RTU modules by timing or in real time in a manner of data are uploaded to system server, system service
It is communicated between device and work station by Industrial Ethernet；Compared with the prior art, the present invention be suitable for groundwater supply pipe network,
It is easily installed, is of low cost, having well solved the end pipe network leak diagnostics and orientation problem of each DMA subregions in city, in time
It was found that leak point, is handled in time, reduce a large amount of losses of water resource.
Description of the drawings
Fig. 1 is the overall structure block diagram of present system.
Fig. 2 is the work station internal structure block diagram in present system.
Fig. 3 is mounted in the data acquisition unit structure diagram on DMA subregion tap water main lines.
Fig. 4 is mounted in the pressure sensing cell structure diagram on DMA subregion pipe network bye-passes.
Fig. 5 is mounted in the sonic detection cellular construction block diagram on DMA subregion pipe network bye-passes.
Fig. 6 is mounted in pressure sensing cell and sonic detection cellular construction block diagram on DMA subregion pipe network bye-passes.
Fig. 7 is the method for the present invention flow chart of steps.
Specific embodiment
The invention will be further described below in conjunction with the accompanying drawings.
As shown in Fig. 1,2,3,4,5,6, a kind of DMA subregions pipeline network leak on-line checking alignment system, including DMA subregions certainly
Water main line, DMA subregions the 1st, 2 ... N-1, N tap water bye-passes, data acquisition unit, pressure sensing cell, sonic detection
Unit, system server and work station, the data acquisition unit are acquired including pressure sensor, flow sensor and data
RTU modules, wherein pressure sensor, flow sensor are mounted on the tap water main line of DMA subregions inlet, data acquisition
RTU modules are mounted on the borehole wall of adjacent valve well, and the pressure sensor, flow sensor acquire RTU moulds with data respectively
Two RS-485 interfaces are connected on block, for that will collect the pressure on the tap water main line of DMA subregions inlet, flow number
According to by be built in data acquire the GPRS/3G/4G modules of RTU modules by timing or in real time in a manner of data are uploaded to system
Server；On the DMA subregions the 1st, 2 ... N-1, N tap water bye-passes, pressure detecting list is separately installed with according to field working conditions
Member or sonic detection unit or pressure sensing cell and sonic detection unit, the pressure sensing cell, including being mounted on DMA points
Pressure sensor on area's tap water bye-pass and the data acquisition RTU modules on the borehole wall of adjacent valve well, it is described
Sonic detection unit, including the pipeline sonic transducer being mounted on DMA subregion tap water bye-passes and mounted on adjacent valve well
The borehole wall on data acquisition RTU modules, the pressure sensor, pipeline sonic transducer respectively with data acquisition RTU modules on
RS-485 interfaces are connected, for will collect pressure on the tap water bye-pass in DMA subregions and sonic data pass through it is built-in
In data acquisition RTU modules GPRS/3G/4G modules by timing or in real time in a manner of data are uploaded to system server, be
It is communicated between system server and work station by Industrial Ethernet；The work station, including data collection control unit, system
Meter model parameter calculation unit, pipe network diagnosis unit, sound characteristics calculate analytic unit, leakage point leaks hunting positioning unit and DMA points
Area monitors display unit, wherein, the data collection control unit further includes acquisition target configuration subelement, data acquisition module
Formula configuration subelement, data transmit-receive and communications protocol parsing subunit, real-time database data management subelement, history bank interface are single
Member and located in connection data acquisition Collaborative Control subelement, based on data acquisition unit, pressure sensing cell and sonic detection list
The data of member acquisition are sentenced through what statistical model parameter calculation unit and pipe network diagnosis unit completed that pipeline network leak whether there is jointly
Disconnected and leakage orientation judgement, sound characteristics calculate analytic unit completion and judge to leak the pipeline sonic data meter around orientation
It calculates.System work detailed process be：Pipe network diagnosis unit and the leakage point positioning unit that leaks hunting pass through the acquisition of DMA partition datas and control
Acquisition target configuration subelement, data acquisition scheme configuration subelement in unit processed complete system initialization configuration, then, number
According to collecting unit, pressure sensing cell, the collected related data of sonic detection unit and it is uploaded to system server.According to adopting
The data of collection, statistical model parameter calculation unit calculate water supply statistical model, pipe network diagnosis unit diagnostic tube Running State, sound
Wave detection unit analyzes pipe network acoustical signal characteristic, completes the analysis to pipe network operation state and acquired acoustical signal.Then, then by
The leakage point positioning unit that leaks hunting assigns measurement of correlation order and calculates leakage point position, realize detection to pipeline network leak with it is fixed
Position, and each item data of pipe network and the result for detecting and positioning to pipeline network leak are shown on the monitoring display interface of DMA subregions.
A kind of detection localization method of DMA subregions pipeline network leak on-line checking alignment system, includes the following steps：
Step 1 establishes DMA water rationing pipe network operation state rule statistical models, before the statistical models are established
It carries as pipeline normal operation and No leakage, according to actual condition, was divided into n period by 24 hours, 1 is shared in DMA subregions
Flow monitoring point, p pressure monitoring point specifically include following sub-step：
(a) flow sensor acquires m DMA subregion originally in DMA subregions entry data collecting unit in the single period
Water main line data on flows acquires 1 data on flows, when each data on flows includes the acquisition of the data on flows every time
Between, find the maximum value max of data on flows in the period1And minimum value min1, peak-to-peak value P1It is calculated by formula (1),
P1=max1-min1 (1)
The average value of DMA subregions tap water main line data on flows in the periodIt is calculated by formula (2),
In formula, m represents the DMA subregion tap water main line data on flows total numbers acquired in the period, XiRepresenting should
I-th of data in period in m DMA subregion tap water main line data on flows, DMA subregions tap water in the single period
The variance yields s of main line data on flows1 2It is calculated by formula (3),
(b) settling time-discharge model repeats sub-step (a) n times, calculates respectively in one day in n different time sections
DMA subregion tap water main line datas on flows peak-to-peak value, average value and variance yields record DMA subregions in the 1st period first
Tap water main line data on flows peak-to-peak value, average value and variance yields, and it is corresponding with the data acquisition time with data on flows
Relationship, using the time as horizontal axis, the data on flows of DMA subregions entry data collecting unit flow sensor is the longitudinal axis in the period
Curve is established, that is, establishes model Q1, then with DMA subregion tap water main line datas on flows peak-to-peak value in the 2nd period, flat
Mean value and variance yields, and with the correspondence of data on flows and the data acquisition time, using the time as horizontal axis, in the period
The data on flows of DMA subregion entry data collecting unit flow sensors establishes curve for the longitudinal axis, that is, establishes model Q2, class according to this
DMA subregion tap water main line datas on flows peak-to-peak value, average value and variance yields in n-th of period of record are pushed away, and with flow
Data and the correspondence of the data acquisition time, using the time as horizontal axis, DMA subregions entry data collecting unit in the period
The data on flows of flow sensor establishes curve for the longitudinal axis, that is, establishes model Qn, according to the above-mentioned mould of variation dynamic corrections of data
Type Q1~Qn；
(c) pressure sensor acquires k number pressure in single pressure monitoring point in pressure sensing cell in the single period
According to each to acquire 1 pressure data, each pressure data includes the acquisition time of the pressure data, so when single
Between in section, the common k of single monitoring point acquisition pressure data is a, finds the maximum value max of pressure data in the period2And minimum value
min2, peak-to-peak value P2It is obtained by formula (4),
P2=max2-min2 (4)
The average value of single pressure monitoring point pressure dataIt is calculated by formula (5),
In formula, k represents the pressure data total number of single pressure monitoring point acquisition in the period, XjRepresent the period
J-th of data in the pressure data that single pressure monitoring point acquires in interior, the variance yields s of single pressure monitoring point pressure data2 2
It is calculated by formula (6),
(d) sub-step (c) p times is repeated, calculates in the single period the 1st pressure detecting o'clock to p-th of pressure monitoring point
Peak-to-peak value, average value and the variance yields of pressure data；
(e) settling time-pressure model repeats sub-step (d) n times, and it is interior to n-th to calculate the 1st period in one day
The peak-to-peak value of the 1~p pressure monitoring point pressure data, average value and variance yields in period record the 1st period first
Interior 1st pressure monitoring point pressure data peak-to-peak value, average value and variance yields, and when being acquired with pressure data and the pressure data
Between correspondence, using the time as horizontal axis, the 1st pressure monitoring point pressure data establishes curve for the longitudinal axis in the 1st period,
Establish model P11；The 2nd pressure monitoring point pressure data peak-to-peak value, average value and variance yields in the 1st period are recorded, and
With pressure data and the correspondence of the pressure data acquisition time, using the time as horizontal axis, the 2nd pressure monitoring in the period
It presses force data and establishes curve for the longitudinal axis, that is, establish model P12；P-th of pressure monitoring point number pressure in the rest may be inferred period
According to peak-to-peak value, average value and variance yields, and with pressure data and the correspondence of the pressure data acquisition time, using the time as horizontal stroke
Axis, p-th of pressure monitoring point pressure data establishes curve for the longitudinal axis in the period, that is, establishes model P1p, similarly, record respectively
The 1~p pressure monitoring point pressure data peak-to-peak value, average value and variance yields in 2nd period, in the 2nd period
The correspondence of pressure data and the pressure data acquisition time, using the time as horizontal axis, pressure monitoring point pressure in the period
Data establish curve for the longitudinal axis, that is, establish model P21~P2p, and so on the 1~p pressure in n-th of period is recorded respectively
Power monitoring point pressure data peak-to-peak value, average value and variance yields are acquired with pressure data in n-th of period and the pressure data
The correspondence of time, using the time as horizontal axis, pressure monitoring point pressure data establishes curve for the longitudinal axis in the period, that is, establishes
Model Pn1~Pnp.According to the above-mentioned model P of the variation dynamic corrections of data11~P1p、P21~P2pUntil Pn1~Pnp；
(f) flow rate pressure model is established, records DMA subregions tap water main line data on flows and p pressure prison in one day
Measuring point data, first, with different DMA subregions tap water main line datas on flows and pair of the 1st pressure monitoring point pressure data
It should be related to, flow is horizontal axis, and pressure establishes the 1st pressure monitoring point flow rate pressure model A for the longitudinal axis1, then, with different DMA
Subregion tap water main line data on flows and the correspondence of the 2nd pressure monitoring point pressure data, flow is horizontal axis, and pressure is
The longitudinal axis establishes the 2nd pressure monitoring point flow rate pressure model A2, and so on different DMA subregions tap water main line flows
Data and the correspondence of p-th of pressure monitoring point pressure data, flow are horizontal axis, and pressure establishes p-th of pressure prison for the longitudinal axis
Measuring point flow rate pressure model Ap；
Step 2, leak diagnostics unit judges are with the presence or absence of leakage point and leakage orientation, according to actual conditions, setup algorithm
Window time length, window time length are denoted as t, and system of the present invention can set the threshold value of each item data, specifically include with
Lower sub-step：
(a) current slot is set as d-th of period, is calculated current d-th by formula in step 1 sub-step (a) (1)
The peak-to-peak value of DMA subregions tap water main line data on flows in period is calculated by formula in step 1 sub-step (a) (2) and worked as
The average value of DMA subregions tap water main line data on flows, passes through formula in step 1 sub-step (a) in preceding d-th of period
(3) variance yields of DMA subregion tap water main line datas on flows in current d-th of period is calculated, is recorded described above current
Peak-to-peak value, average value and variance yields in d-th of period, with the correspondence of data on flows and the data acquisition time, with when
Between for horizontal axis, data on flows establishes curve for the longitudinal axis in current d-th of period, that is, establishes model S, by peak-to-peak value in model S,
Average value and variance yields and the when m- discharge model Q of foundation in step 1 sub-step (b)1~QnIn the corresponding period model
QdCompared with middle peak-to-peak value, average value are corresponding with variance yields, if the difference of peak-to-peak value is less than system thresholds, the difference of average value
Difference with variance yields is more than system thresholds, then judges that the DMA subregions have leakage, if peak-to-peak value, average value and variance yields
Difference be more than system thresholds, then within the period with the length of window t of default calculate data on flows average valueVariance yields st 2If the period initial time is T1, end time T2, which is divided into the 1st window T1~T1
+ t, the 2nd window t~T1+ 2t ... ..., x-th of window T1+ xt~T2, data on flows average value is calculated in y-th of windowVariance yields st 2, average valueIt is calculated by formula (7),
In formula, e represents data on flows total number in y-th of window, XfIt represents in y-th of window in data on flows total number
F-th of data, variance yields st 2It is calculated by formula (8),
Find the average value of the 1st data on flows in the period, variance yields with it is corresponding when m- discharge model QdBe averaged
Value, variance yields record the initial time t of the window compared to the window for being more more than system thresholds1；It finds last in the period
The average value of 1 data on flows, variance yields with it is corresponding when m- discharge model QdAverage value, variance yields compared to more be more than be
The window for threshold value of uniting records the initial time t of the window2, the 1st there is abnormal window and abnormal window occurs to last one
Time difference between mouthful is denoted as Δ t, and Δ t is calculated by formula (9),
Δ t=t2-t1 (9)
If Δ t is more than the maximum time interval of default, judge there is leakage；
If (b) judge that pipe network has leakage in the DMA subregions in step 2 sub-step (a), according to step 1 sub-step (c)
Middle formula (4) calculates the peak-to-peak value of p pressure monitoring point in current d-th of period, according to formula in step 1 sub-step (c)
(5) average value of p pressure monitoring point is calculated in current d-th of period and according to formula in step 1 sub-step (c) (6) meter
The variance yields of p pressure monitoring point in current d-th of period is calculated, if the peak-to-peak value of u-th of pressure monitoring point, average value and side
Difference one of which or two or three correspond to threshold value more than system, then find the pressure monitoring point in current d-th of period
Maximum value and minimum value, according to the corresponding acquisition time of maximum value of the pressure monitoring point in current d-th of period, in step
Corresponding flow value B is found in the model S that rapid 2 sub-step (a) is establishedmax, while according to the pressure in current d-th of period
The maximum value of monitoring point, the model A established in step 1 sub-step (f)uIn find pressure prison in current d-th of period
The corresponding flow value C of maximum value of measuring pointmax；According to the minimum value of the pressure monitoring point in current d-th of period it is corresponding when
Between point, step 2 sub-step (a) establish model S in find corresponding flow value Bmin, while according to current d-th of period
The minimum value of the interior pressure monitoring point, the model A established in step 1 sub-step (f)uIn find in current d-th of period
The corresponding flow value C of minimum value of the pressure monitoring pointmin, by BmaxWith CmaxIt compares, BminWith CminIt compares, if described above two
Xiang Jun is more than system thresholds, then pipeline section has leakage where judging the pressure monitoring point, completes the orientation judgement to leakage point；
Step 3 judges the orientation of leakage point according in step 2 leak point positioning unit starting is installed on and the orientation
The sonic transducer of relevant position completes sonic data and acquires and calculate, and leakage point is calculated according to located in connection survey calculation method
Away from the distance for closing on sonic transducer.
Claims (2)
1. a kind of DMA subregions pipeline network leak on-line checking alignment system, including DMA subregion tap water main line, DMA subregions the 1st,
2 ... N-1, N tap water bye-passes, data acquisition unit, pressure sensing cell, sonic detection unit, system server and work
It stands, it is characterised in that：The data acquisition unit acquires RTU modules including pressure sensor, flow sensor and data,
Middle pressure sensor, flow sensor are mounted on the tap water main line of DMA subregions inlet, data acquisition RTU module peaces
On the borehole wall of adjacent valve well, the pressure sensor, flow sensor acquire in RTU modules two with data respectively
RS-485 interfaces are connected, and pressure, the data on flows for that will collect on the tap water main line of DMA subregions inlet pass through interior
Be placed in the GPRS/3G/4G modules of data acquisition RTU modules by timing or in real time in a manner of data are uploaded to system server；
On the DMA subregions the 1st, 2 ... N-1, N tap water bye-passes, pressure sensing cell is installed according to field working conditions and sound wave is examined
Survey unit, the pressure sensing cell, including the pressure sensor being mounted on DMA subregion tap water bye-passes and mounted on neighbour
Data acquisition RTU modules on the borehole wall of nearly valve well, the sonic detection unit, including being mounted on DMA subregion tap water branch
Pipeline sonic transducer on pipeline and the data acquisition RTU modules on the borehole wall of adjacent valve well, the pressure sensing
Device, pipeline sonic transducer are connected respectively with RS-485 interfaces in data acquisition RTU modules, for that will collect in DMA subregions
Pressure and sonic data on tap water bye-pass acquire the GPRS/3G/4G modules of RTU modules with timing by being built in data
Or data are uploaded to system server by mode in real time, are led between system server and work station by Industrial Ethernet
News；The work station, including data collection control unit, statistical model parameter calculation unit, pipe network diagnosis unit, sound characteristics meter
Analytic unit, leakage point is calculated to leak hunting positioning unit and DMA partition monitor display units, wherein, the data collection control unit,
Further include acquisition target configuration subelement, data acquisition scheme configuration subelement, data transmit-receive and communications protocol parsing subunit,
Real-time database data management subelement, history bank interface subelement and located in connection data acquisition Collaborative Control subelement, based on number
According to the data that collecting unit, pressure sensing cell and sonic detection unit acquire, through statistical model parameter calculation unit and pipe network
Diagnosis unit completes the judgement that pipeline network leak whether there is and leaks the judgement in orientation jointly, and sound characteristics calculate analytic unit and complete
Judge to leak the pipeline sonic data around orientation to calculate.
2. a kind of detection localization method of DMA subregions pipeline network leak on-line checking alignment system according to claim 1, special
Sign is to include the following steps：
Step 1 establishes DMA water rationing pipe network operation state rule statistical models, and the statistical models establish premise and are
Pipeline normal operation and No leakage according to actual condition, were divided into n period by 24 hours, 1 flow are shared in DMA subregions
Monitoring point, p pressure monitoring point specifically include following sub-step：
(a) flow sensor acquires m DMA subregion tap water master in DMA subregions entry data collecting unit in the single period
Piping flow data, acquire 1 data on flows every time, and each data on flows includes the acquisition time of the data on flows, looks for
The maximum value max of data on flows in the period1And minimum value min1, peak-to-peak value P1It is calculated by formula (1),
P1=max1-min1 (1)
The average value of DMA subregions tap water main line data on flows in the periodIt is calculated by formula (2),
In formula, m represents the DMA subregion tap water main line data on flows total numbers acquired in the period, XiRepresent the period
I-th of data in interior m DMA subregions tap water main line data on flows, DMA subregions tap water main line in the single period
The variance yields s of data on flows1 2It is calculated by formula (3),
(b) settling time-discharge model repeats sub-step (a) n times, calculates in one day DMA in n different time sections respectively
Subregion tap water main line data on flows peak-to-peak value, average value and variance yields, first record the 1st period in DMA subregions from
Water main line data on flows peak-to-peak value, average value and variance yields, and closed so that data on flows is corresponding with the data acquisition time
System, using the time as horizontal axis, the data on flows of DMA subregions entry data collecting unit flow sensor is built for the longitudinal axis in the period
Vertical curve, that is, establish model Q1, then with DMA subregion tap water main line datas on flows peak-to-peak value in the 2nd period, average
Value and variance yields, and with data on flows and the correspondence of the data acquisition time, using the time as horizontal axis, DMA in the period
The data on flows of subregion entry data collecting unit flow sensor establishes curve for the longitudinal axis, that is, establishes model Q2, and so on
DMA subregions tap water main line data on flows peak-to-peak value, average value and variance yields in n-th of period are recorded, and with flow number
According to the correspondence with the data acquisition time, using the time as horizontal axis, DMA subregions entry data collecting unit stream in the period
The data on flows of quantity sensor establishes curve for the longitudinal axis, that is, establishes model Qn, according to the above-mentioned model Q of the variation dynamic corrections of data1
~Qn；
(c) pressure sensor acquires k pressure data in single pressure monitoring point in pressure sensing cell in the single period, often
1 pressure data of secondary acquisition, each pressure data includes the acquisition time of the pressure data, so in the single period
Interior, the common k of single monitoring point acquisition pressure data is a, finds the maximum value max of pressure data in the period2And minimum value min2,
Peak-to-peak value P2It is obtained by formula (4),
P2=max2-min2 (4)
The average value of single pressure monitoring point pressure dataIt is calculated by formula (5),
In formula, k represents the pressure data total number of single pressure monitoring point acquisition in the period, XjIn representing in the period
J-th of data in the pressure data of single pressure monitoring point acquisition, the variance yields s of single pressure monitoring point pressure data2 2Pass through
Formula (6) is calculated,
(d) sub-step (c) p times is repeated, calculates in the single period the 1st pressure detecting o'clock to p-th of pressure monitoring point pressure
Peak-to-peak value, average value and the variance yields of data；
(e) settling time-pressure model repeats sub-step (d) n times, and it is interior to n-th of time to calculate the 1st period in one day
The in peak-to-peak value, average value and the variance yields of the 1~p pressure monitoring point pressure data in section, first the 1st period of record
1 pressure monitoring point pressure data peak-to-peak value, average value and variance yields, and with pressure data and the pressure data acquisition time
Correspondence, using the time as horizontal axis, the 1st pressure monitoring point pressure data establishes curve for the longitudinal axis in the 1st period, that is, builds
Formwork erection type P11；The 2nd pressure monitoring point pressure data peak-to-peak value, average value and variance yields in the 1st period are recorded, and with pressure
The correspondence of force data and the pressure data acquisition time, using the time as horizontal axis, the 2nd pressure monitoring presses in the period
Force data establishes curve for the longitudinal axis, that is, establishes model P12；P-th of pressure monitoring point pressure data peak in the rest may be inferred period
Peak value, average value and variance yields, and with the correspondence of pressure data and the pressure data acquisition time, using the time as horizontal axis,
P-th of pressure monitoring point pressure data establishes curve for the longitudinal axis in the period, that is, establishes model P1p, similarly, the 2nd is recorded respectively
The 1~p pressure monitoring point pressure data peak-to-peak value, average value and variance yields in a period, with pressure in the 2nd period
Data and the correspondence of the pressure data acquisition time, using the time as horizontal axis, pressure monitoring point pressure data in the period
Curve is established for the longitudinal axis, that is, establishes model P21~P2p, and so on the 1~p pressure prison in n-th of period is recorded respectively
Measuring point pressure data peak-to-peak value, average value and variance yields, with pressure data in n-th of period and the pressure data acquisition time
Correspondence, using the time as horizontal axis, pressure monitoring point pressure data establishes curve for the longitudinal axis in the period, that is, establishes model
Pn1~Pnp, according to the above-mentioned model P of the variation dynamic corrections of data11~P1p、P21~P2pUntil Pn1~Pnp；
(f) flow rate pressure model is established, records DMA subregions tap water main line data on flows and p pressure monitoring point in one day
Data, first, with different DMA subregions tap water main line datas on flows and the corresponding pass of the 1st pressure monitoring point pressure data
System, flow are horizontal axis, and pressure establishes the 1st pressure monitoring point flow rate pressure model A for the longitudinal axis1, then, with different DMA subregions
Tap water main line data on flows and the correspondence of the 2nd pressure monitoring point pressure data, flow is horizontal axis, and pressure is the longitudinal axis
Establish the 2nd pressure monitoring point flow rate pressure model A2, and so on different DMA subregions tap water main line datas on flows
With the correspondence of p-th of pressure monitoring point pressure data, flow is horizontal axis, and pressure establishes p-th of pressure monitoring point for the longitudinal axis
Flow rate pressure model Ap；
Step 2, leak diagnostics unit judges are with the presence or absence of leakage point and leakage orientation, according to actual conditions, setup algorithm window
Time span, window time length are denoted as t, and the system can set the threshold value of each item data, specifically include following sub-step：
(a) current slot is set as d-th of period, and current d-th of the time is calculated by formula in step 1 sub-step (a) (1)
The peak-to-peak value of DMA subregion tap water main line datas on flows in section calculates current the by formula in step 1 sub-step (a) (2)
The average value of DMA subregions tap water main line data on flows in d period is counted by formula in step 1 sub-step (a) (3)
Calculate the variance yields of DMA subregions tap water main line data on flows in current d-th of period, current d-th described above of record
Peak-to-peak value, average value and variance yields in period, with data on flows and the correspondence of the data acquisition time, using the time as horizontal stroke
Axis, data on flows establishes curve for the longitudinal axis in current d-th of period, that is, model S is established, by peak-to-peak value, average value in model S
With the when m- discharge model Q established in variance yields and step 1 sub-step (b)1~QnIn the corresponding period model QdMiddle peak
Compared with peak value, average value are corresponding with variance yields, if the difference of peak-to-peak value is less than system thresholds, the difference and variance of average value
The difference of value is more than system thresholds, then judges that the DMA subregions have leakage, if the difference of peak-to-peak value, average value and variance yields
It is more than system thresholds, then data on flows average value is calculated with the length of window t of default within the periodVariance
Value st 2If the period initial time is T1, end time T2, which is divided into the 1st window T1~T1+ t, the 2nd
Window t~T1+ 2t ... ..., x-th of window T1+ xt~T2, data on flows average value is calculated in y-th of windowVariance yields
st 2, average valueIt is calculated by formula (7),
In formula, e represents data on flows total number in y-th of window, XfIt represents in y-th of window f-th in data on flows total number
Data, variance yields st 2It is calculated by formula (8),
Find the average value of the 1st data on flows in the period, variance yields with it is corresponding when m- discharge model QdAverage value, side
Difference records the initial time t of the window compared to the window for being more more than system thresholds1；Find last 1 stream in the period
Measure the average value of data, variance yields with it is corresponding when m- discharge model QdAverage value, variance yields compared to more be more than system thresholds
Window, record the initial time t of the window2, the 1st there is abnormal window between the abnormal window of last one appearance
Time difference be denoted as Δ t, Δ t is calculated by formula (9),
Δ t=t2-t1 (9)
If Δ t is more than the maximum time interval of default, judge there is leakage；
If (b) judge that pipe network has leakage in the DMA subregions in step 2 sub-step (a), according to public in step 1 sub-step (c)
Formula (4) calculates the peak-to-peak value of p pressure monitoring point in current d-th of period, is counted according to formula in step 1 sub-step (c) (5)
It calculates in current d-th of period the average value of p pressure monitoring point and is calculated according to formula in step 1 sub-step (c) (6) current
The variance yields of p pressure monitoring point in d-th of period, if the peak-to-peak value of u-th of pressure monitoring point, average value and variance yields its
In one or two or three correspond to threshold value more than system, then find the maximum of the pressure monitoring point current d-th of period Nei
Value and minimum value, according to the corresponding acquisition time of maximum value of the pressure monitoring point in current d-th of period, in step 2
Corresponding flow value B is found in the model S that step (a) is establishedmax, while according to the pressure monitoring point in current d-th of period
Maximum value, the model A established in step 1 sub-step (f)uIn find the pressure monitoring point in current d-th of period
The corresponding flow value C of maximum valuemax；According to the minimum value corresponding time point of the pressure monitoring point in current d-th of period,
Corresponding flow value B is found in the model S established in step 2 sub-step (a)min, while be somebody's turn to do according in current d-th of period
The minimum value of pressure monitoring point, the model A established in step 1 sub-step (f)uIn find the pressure in current d-th of period
The corresponding flow value C of minimum value of power monitoring pointmin, by BmaxWith CmaxIt compares, BminWith CminIt compares, if described above two equal
More than system thresholds, then where judging the pressure monitoring point there is leakage in pipeline section, complete the orientation judgement to leakage point；
Step 3 judges that leak point positioning unit starting is installed on related to the orientation according in step 2 to the orientation of leakage point
The sonic transducer of position completes sonic data and acquire and calculate, and foundation located in connection survey calculation method calculates leakage point away from facing
The distance of nearly sonic transducer.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610302392.6A CN105927863B (en) | 2016-05-07 | 2016-05-07 | DMA subregions pipeline network leak on-line checking alignment system and its detection localization method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610302392.6A CN105927863B (en) | 2016-05-07 | 2016-05-07 | DMA subregions pipeline network leak on-line checking alignment system and its detection localization method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105927863A CN105927863A (en) | 2016-09-07 |
| CN105927863B true CN105927863B (en) | 2018-06-29 |
Family
ID=56835484
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610302392.6A Expired - Fee Related CN105927863B (en) | 2016-05-07 | 2016-05-07 | DMA subregions pipeline network leak on-line checking alignment system and its detection localization method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105927863B (en) |
Families Citing this family (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106895268A (en) * | 2017-03-28 | 2017-06-27 | 智润科技有限公司 | Set up the method and monitoring system of tree structure leakage loss condition monitoring pipe network |
| CN108980635A (en) * | 2017-06-05 | 2018-12-11 | 北京菁华昱创节能设备有限公司 | A kind of water system protective device of intelligent and high-efficiency |
| CN107355688B (en) * | 2017-07-14 | 2020-04-21 | 水联网技术服务中心（北京）有限公司 | Urban water supply network leakage control management system |
| CN107766468A (en) * | 2017-09-30 | 2018-03-06 | 上海邦芯物联网科技有限公司 | A kind of Intelligent pipe net monitoring system based on big data |
| CN109668054B (en) * | 2017-10-13 | 2020-11-03 | 中国石油天然气股份有限公司 | Pipe cleaner positioning system and method |
| CN110836784B (en) * | 2018-08-16 | 2021-12-03 | 广州极飞科技股份有限公司 | Spraying system, fault detection method based on spraying system and fault type determination method |
| CN108916663B (en) * | 2018-09-08 | 2020-08-21 | 大连德泰水务有限公司 | Municipal water supply pipe network monitoring system and monitoring method |
| CN109555979B (en) * | 2018-12-10 | 2020-03-17 | 清华大学 | Water supply pipe network leakage monitoring method |
| CN110185092B (en) * | 2019-04-19 | 2020-07-07 | 浙江大学 | Dynamic DMA partition-based leakage monitoring method for town water supply system |
| CN111027730B (en) | 2019-11-19 | 2023-05-09 | 浙江大学 | Efficient positioning method for water supply network leakage based on valve operation and online water metering |
| CN111006137B (en) * | 2019-12-18 | 2021-12-17 | 北京无线电计量测试研究所 | Water supply pipeline leakage monitoring and leakage positioning method and system |
| CN111271608A (en) * | 2020-03-05 | 2020-06-12 | 北京中竞国际能源科技有限公司 | Leakage management system and method for compressed air system |
| CN111609324B (en) * | 2020-05-29 | 2021-02-19 | 北京化工大学 | Pipeline leakage detection method and device |
| CN112483907B (en) * | 2020-11-10 | 2022-02-11 | 深圳市祥为测控技术有限公司 | Pipeline leakage detection system and method |
| CN112363476A (en) * | 2020-11-16 | 2021-02-12 | 桂林理工大学 | Underground drainage monitoring system and method based on positioning technology |
| CN113312735B (en) * | 2021-05-19 | 2022-06-03 | 太原理工大学 | DMA partition method for urban water supply pipe network |
| CN113685736B (en) * | 2021-08-24 | 2023-07-04 | 上海观燃智能科技有限公司 | Gas pipe network leakage detection method and system based on pressure parameter analysis |
| CN113864664B (en) * | 2021-09-29 | 2023-08-15 | 广东粤海水务投资有限公司 | Pipe network leakage early warning method and system based on flow distribution probability calculation |
| CN114444663A (en) * | 2022-01-28 | 2022-05-06 | 吉林大学 | Water supply pipe network leakage detection and positioning method based on time convolution network |
| CN116857572B (en) * | 2023-07-14 | 2024-01-02 | 湖南理工学院 | Intelligent water management method and system based on big data |
| CN118623242B (en) * | 2024-08-15 | 2024-11-08 | 南通西屋智能科技有限公司 | DMA (direct memory access) area leakage monitoring management method and system based on water supply network |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202082629U (en) * | 2011-04-06 | 2011-12-21 | 黄定军 | Natural gas pipeline leakage monitoring system |
| WO2012059390A1 (en) * | 2010-11-05 | 2012-05-10 | Siemens Aktiengesellschaft | Leakage detection and leakage location in supply networks |
| CN103939749A (en) * | 2014-04-28 | 2014-07-23 | 东北大学 | Oil pipeline network leakage intelligent self-adaptation monitoring system and method based on big data |
| CN205090197U (en) * | 2015-07-09 | 2016-03-16 | 南京声宏毅霆网络科技有限公司 | Leak detection system and monitoring facilities of pipeline |
-
2016
- 2016-05-07 CN CN201610302392.6A patent/CN105927863B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2012059390A1 (en) * | 2010-11-05 | 2012-05-10 | Siemens Aktiengesellschaft | Leakage detection and leakage location in supply networks |
| CN202082629U (en) * | 2011-04-06 | 2011-12-21 | 黄定军 | Natural gas pipeline leakage monitoring system |
| CN103939749A (en) * | 2014-04-28 | 2014-07-23 | 东北大学 | Oil pipeline network leakage intelligent self-adaptation monitoring system and method based on big data |
| CN205090197U (en) * | 2015-07-09 | 2016-03-16 | 南京声宏毅霆网络科技有限公司 | Leak detection system and monitoring facilities of pipeline |
Non-Patent Citations (1)
| Title |
|---|
| 自适应供水管网泄漏检测定位仪器系统;杨进等;《仪表技术与传感器》;20050225(第02期);14-16,22 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105927863A (en) | 2016-09-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105927863B (en) | DMA subregions pipeline network leak on-line checking alignment system and its detection localization method | |
| CN103939749B (en) | Flow circuits based on big data leakage intelligent adaptive monitoring system and method | |
| CN104421620B (en) | Leakage signal analysis method | |
| CN105042339B (en) | One kind is based on nondimensional leakage of finished oil pipeline amount estimating system and method | |
| CN109357167B (en) | Gas pipeline leakage point detection device and detection method | |
| CN112483908A (en) | Pipeline monitoring system and monitoring method based on sound waves | |
| CN108360608B (en) | Pipe burst identification and positioning method for water delivery pipe of water supply system | |
| CN111271610B (en) | Liquid pipeline leakage detection early warning device and method | |
| CN106224781A (en) | A kind of fluid pipe network leakage monitoring system | |
| CN103953098A (en) | Pipe network loss monitoring method | |
| CN112413414B (en) | Comprehensive detection method for leakage of heat supply pipe network | |
| CN108758357B (en) | A kind of localization of bursted pipe method based on the analysis of water supply network change value of pressure | |
| CN115127037B (en) | Water supply pipe network leakage positioning method and system | |
| CN114048694B (en) | Leakage positioning method based on Internet of things and hydraulic model | |
| CN103032626B (en) | System and method for diagnosing fault of adjusting valve | |
| CN104848413B (en) | Heating system dehydration Detection ＆ Controling method and system | |
| CN113128709B (en) | Water supply network leakage management system | |
| CN116384277A (en) | Method, device and system for detecting and positioning leakage of multi-branch water supply pipe based on filter | |
| CN109340583A (en) | Heating network leakage monitoring system and method | |
| CN104930340B (en) | Distributed wireless monitoring device and system for steam heat-supply network steam trap as well as working method | |
| CN113739082A (en) | Water supply network leakage monitoring method based on multi-region joint evaluation | |
| NL2032501B1 (en) | A method and a system for identifying and positioning sewer clogging | |
| CN114659594B (en) | Active calibration system for flowmeter | |
| CN116624786A (en) | Pipeline leakage prediction method and storage medium thereof | |
| EP4071454A1 (en) | Method for locating a leak in a water supply network |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20180629 |