CN108332059A - Serve the pressure tap optimization placement method of water supply network booster monitoring - Google Patents
Serve the pressure tap optimization placement method of water supply network booster monitoring Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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Abstract
The invention discloses the pressure tap optimization placement methods for serving the monitoring of water supply network booster, include the following steps：(1) base operation condition is selected, the pressure value of each node is calculated based on monitoring data；(2) booster model is established, dummy node is added successively among each pipeline section, booster is simulated using jet model, input jet coefficient C values calculate the pressure value of corresponding node after each pipeline section booster successively；(3) change value of pressure is calculated, pressure change matrix is obtained, the pressure change matrix is made comparisons with booster threshold value to obtain 01 booster judgment matrixs, 01 booster judgment matrixs are ranked up by row descending to obtain descending matrix；(4) descending matrix is retrieved from big to small according to setting principle, newly-increased pressure monitoring point is set to if meeting condition；(5) it after searching monitoring point and can only monitor a newly-increased booster pipeline section, terminates and calculates, otherwise output pressure monitoring point ID returns to (4) and continues to calculate, searches for new monitoring point.
Description
Technical field
The invention belongs to public supply mains monitoring technical fields, more particularly to serve the survey of water supply network booster monitoring
Pressure point optimization placement method.
Background technology
Water supply network monitoring point arrangement refers to that a certain number of pressure, flow sensor are installed in water supply network, is used for
The effects that pipe net leakage rate calibration, operating condition detection, stress management, leakage loss control, booster monitoring and warning.
Include at present mainly two class of fuzzy clustering and sensitivity analysis about water supply network pressure monitoring point preferred arrangement, all
It is the monitoring point optimization placement technique for being suitable for the monitoring of nominal situation down tube net state, also has researcher to propose new optimization side
Method, such as the patent document of Publication No. CN 106870955A disclose one kind and serving water supply network node water requirement inverting
Monitoring point optimization method for arranging.Improving traditional pressure-sensitivity matrix, the newest node water requirement inversion algorithm of fusion
Afterwards, the monitoring point method for arranging for serving node water requirement inverting is established.Key step is as follows：(1) a benchmark work is selected
Condition carries out loop approach, obtains node pressure and pipeline flow, obtains pressure-sensitivity matrix, creates Pressure affection Factor square
Battle array；(2) with the monitor value of existing monitoring point, inverting node water requirement, adjustment acquisition node pressure and pipeline flow, error is created
Matrix；(3) by Pressure affection Factor matrix and pressure error matrix multiple, the corresponding node of product greatest member is set as new
Pressure monitoring point, set the corresponding pipeline section of flow error matrix greatest member to new flow monitoring point；(4) work as monitoring point
Number terminates iteration when reaching the upper limit, otherwise return to step (2) continues to calculate, and increases monitoring point.
But the above method all do not provide that a kind of combination booster data propose be suitable for monitoring water supply network booster
Monitoring point method for arranging.Pipe burst monitors and judges it is that one kind judging pipe network with SCADA monitoring data as basic statistical analysis
Method whether booster, accuracy of judgement degree not only it is related to the booster threshold value determined by historical statistical data also with feed pipe
Net real time execution operating mode is related.Water supply network booster is monitored for understanding abnormal accident and caused consequence in pipe network,
Scheduling, the control of booster leakage loss etc. is optimized in turn to play an important roll.
Invention content
The present invention provides the pressure tap optimization placement methods for serving the monitoring of water supply network booster, pass through heuritic approach
Monitoring point is arranged for searching water supply network pressure, realizes more accurately monitoring water supply network booster.
The pressure tap optimization placement method for serving the monitoring of water supply network booster, includes the following steps：
(1) base operation condition is selected, the pressure value H of each node is calculated based on monitoring dataj；
(2) booster model is established, dummy node is added successively among each pipeline section, booster, input are simulated using jet model
Efflux coefficient C values calculate the pressure value H ＇ of corresponding node after each pipeline section booster successivelyi,j；
(3) according to the pressure value of step (1) and (2), change value of pressure of each node after different pipe sections booster is calculated, is obtained
To pressure change matrix, the pressure change matrix is made comparisons to obtain with the booster threshold value obtained by historical statistical data analysis
0-1 booster judgment matrixs, and 0-1 boosters judgment matrix is ranked up by row descending according to the quantity of matrix each column 1 and is dropped
Sequence matrix；
(4) the descending matrix obtained to step (3) according to setting principle is retrieved from big to small, is set if meeting condition
For newly-increased pressure monitoring point；
(5) it after searching monitoring point and can only monitor a newly-increased booster pipeline section, terminates and calculates, output pressure monitoring point
Otherwise ID returns to (4) and continues to calculate, searches for new monitoring point.
Since non-flowing out stream flow of penetrating is unrelated with node pressure, reality is not met, jet model more meets actual motion work
Condition, therefore in order to improve calculating accuracy, it is preferred that in step (2), booster is simulated using jet model in EPANET, is established
Efflux coefficient C and each pipeline section booster area correlativity set C values to dummy node, calculate each node pressure after booster.
Jet stream formula in EPANETUnit m3/h
Booster modelUnit m3/s
Leakage path ratio n=AL/AD
After conversion
λ is discharge coefficient in formula, and the coefficient that different orifice leakage loss model is chosen is different, and value range is 0.2~0.7,
QLTo miss water, ALFor booster open area, ADFor conduit cross-sectional area, HLFor overpressure at booster.
In order to improve calculating accuracy and efficiency, it is preferred that in step (3), obtain the descending square of 0-1 booster judgment matrixs
Battle array is as follows：
3-1 calculates the change value of pressure Δ H of each node after each pipeline section boosteri,j=H 'i,j-Hj, successively to every pipeline section
Increase booster mouth to be calculated, obtains the node pressure variation value matrix of entire pipe network：
Δ H in formulai,jThe change value of pressure of j nodes, n are pipeline section number after expression i pipeline section boosters, and m is number of nodes, wherein going
Indicate that the change value of pressure of different pipe sections booster posterior nodal point j, row indicate the change value of pressure of different nodes after pipeline section i boosters；
The determination of 3-2 booster threshold values：All monitorings are arranged according to normal distribution rule using water supply network historical data
The pressure change △ P of pointiCumulative probability be Pr, assign PrBooster threshold probability thinks that the booster threshold probability is corresponding
Change value of pressure is the booster threshold value of each pressure monitoring point, takes the average value of the booster threshold value of pressure monitoring point to be
Node pressure is changed value matrix and booster threshold value by 3-3It makes comparisons, ifIndicate i-th pipe
Section booster can be monitored by the pressure monitoring point of j-th of node, be set to 1；IfThen indicate i-th pipeline section
Booster can not be monitored by j-th of node, be set to 0, to can get a 0-1 booster judgment matrix, the rectangular array serial number
Indicate that node, row serial number indicate pipeline section；
3-4 arranges its descending, is obtained 0-1 descending matrixes by row statistics 0-1 booster judgment matrixs 1 quantity.
In order to make the distribution of preferably optimization monitoring point, it is preferred that in step (4), selection meets the node of setting principle
As the layout points of pressure monitoring point, setting principle is as follows：
(1) newly-increased when requiring often to increase a monitoring point to monitor that booster pipeline section is most；
(2) require newly-increased monitoring point that can independently monitor the maximum amount of booster pipeline section；
When calculating selection pressure monitoring point, defers to principle (1) importance and be more than principle (2).To monitor most
A wide range of pipeline section, and same root pipeline section can be made to be monitored as far as possible by multiple monitoring points in booster.
It is defined according to small probability event and assigns PrOne suitable numerical value, it is preferred that in step 3-2, assign PrBooster threshold
It is 3%~8% to be worth probability.
Beneficial effects of the present invention：
The pressure monitoring point optimization placement method for serving monitoring public supply mains booster of the present invention, improves tradition
Pressure monitoring point method for arranging, and construct booster model and combine booster data, establish heuritic approach to arrange
Pressure monitoring point monitors water supply network booster situation, effectively improves the accuracy of pressure monitoring.
Description of the drawings
Fig. 1 is the line of the pressure monitoring point optimization placement method for serving monitoring public supply mains booster of the present embodiment
Frame flow chart.
Fig. 2 serves for the present embodiment in the pressure monitoring point optimization placement method of monitoring public supply mains booster
The cities J water supply network figure.
Fig. 3 is the distribution schematic diagram of 15 pressure monitoring points obtained using the present embodiment method.
The statistics that can be monitored by 1~3 monitoring point when each pipeline section booster under the pressure monitoring point distribution that Fig. 4 is Fig. 3
Schematic diagram.
The statistics that can be monitored by 4~7 monitoring points when each pipeline section booster under the pressure monitoring point distribution that Fig. 5 is Fig. 3
Schematic diagram.
The statistics that can be monitored by 8~10 monitoring points when each pipeline section booster under the pressure monitoring point distribution that Fig. 6 is Fig. 3
Schematic diagram.
The system that can be monitored more than 10 monitoring points when each pipeline section booster under the pressure monitoring point distribution that Fig. 7 is Fig. 3
Count schematic diagram.
Fig. 8 is that the relationship tendency chart between booster number is counted out and be monitored to pressure monitoring.
Specific implementation mode
Below in conjunction with the accompanying drawings and example, the realization method of the present invention is described in further detail.
As shown in Figure 1, the pressure monitoring point preferred arrangement side for serving monitoring public supply mains booster of the present embodiment
Method is as follows：
Step 1 obtains nominal situation (base operation condition) lower node pressure.
As shown in Fig. 2, the present embodiment by taking the cities J as an example, shares 3, water source, needs water node 491, pipeline section 640, pipeline section
433.52 km of overall length, water factory's water yield are known such as table 1.
1 base operation condition lower node water requirement of table
Node serial number calls EPANET programmer tool case adjustment functions, is put down according to EPANET node index orders
Difference obtains each node pressure H under base operation condition.
2 base operation condition lower node pressure of table
The vector form that table 2 gives base operation condition lower node pressure is as follows：H=[30.13,30.13,
30.35,···,30.4]。
Step 2 obtains pressure change value matrix
In the water supply network model of structure, a dummy node is added in every pipeline section centre position successively, as booster
Mouthful, booster is simulated using jet model in EPANET, the correlativity of efflux coefficient C and each pipeline section booster area are established, to void
Node sets C values calculate the pressure value H ＇ of jth node after i-th pipeline bursti,j,
Jet stream formula in EpanetUnit m3/s
This booster model usedUnit m3/s
Leakage path ratio n=AL/AD
After conversion
A in formulaLFor booster open area, ADFor pipeline section area, HLFor overpressure at booster.
4 different tube diameters of table take efflux coefficient when different n
This simulation chooses the C values assignment that is calculated according to moderate booster, that is, n=1/2 to correspondence pipeline section institute in calculating
In the dummy node of addition, the pressure value H ＇ after each pipeline section booster are iterated to calculate outi,j, according to 4 efflux coefficient of table, it is calculated each
Corresponding node pressure value after pipeline section booster is as shown in table 5, which is 640 × 491, and table 5 only gives 6 × 8 section
Point pressure matrix.
Corresponding node pressure value H ＇ after 5 each pipeline section booster of tablei,j
Step 3, the descending permutation matrix for obtaining 0-1 booster judgment matrixs
3-1 is calculated the change value of pressure Δ H of each node after each pipeline section booster by table 2, table 5i,j：ΔHi,j=H ＇i,j-Hj。
The matrix dimension is 640 × 491, and table 6 only gives 6 × 8 node pressure transformation matrices.
Corresponding node pressure change matrix after 6 each pipeline section booster of table
The determination of 3-2 booster threshold values：All monitorings are arranged according to normal distribution rule using water supply network historical data
The cumulative probability of the pressure change △ Pi of point is Pr, is defined according to small probability event and assigns the suitable works of numerical value such as 5% of Pr mono-
For booster threshold probability, that is, think that the corresponding change value of pressure of the booster threshold probability is the booster threshold of each pressure monitoring point
Value, takes the average value of the booster threshold value of pressure monitoring point to be
Node pressure variation value matrix is analyzed the booster threshold value obtained by 3-3 with by historical statistical dataIt makes comparisons, ifIt indicates that i-th pipeline section booster can be monitored by the monitoring point of j-th of node, is set to 1；IfThen indicate that i-th pipeline section booster can not be monitored by j-th of node, be set to 0.To can get one
0-1 booster judgment matrixs, the rectangular array serial number indicate that node, row serial number indicate pipeline section.
Table 7 gives by the booster threshold value given by pipe network Historical Monitoring data, and absolute average is -1.24m, if indicating
When some node pressure changing value is more than 1.24m, there is 95% probability to assert the pipeline section booster.
The probability threshold value Pr of 7 each monitoring point pressure change of tablecWith pressure change △ Pi
| Node | 1# | 2# | 3# | 4# | 5# | 6# | 7# | 8# | 9# | 10# | 11# | 12# | 13# | 14# |
| 1-Prc/ % | 99 | 99 | 98 | 98 | 98 | 98 | 99 | 98 | 98 | 99 | 95 | 95 | 95 | 95 |
| △Pi,/m | -1.15 | -1.8 | -1.1 | -1.4 | -1 | -1.2 | -1.3 | -1.9 | -1.2 | -1.2 | -1.1 | -1.0 | -1.0 | -1.0 |
Table 8 provides the 0-1 booster judgment matrixs after multilevel iudge, which is 640 × 491, and table 8 only provides
8 × 12 matrix.
8 0-1 booster judgment matrixs of table
3-4 arranges its descending, is obtained 0-1 descending matrixes by row statistics 0-1 booster judgment matrixs 1 quantity.Table 9
The matrix arranged according to 1 quantity descending is given, which is 640 × 491, and table 9 only gives 8 × 12 matrix.
9 0-1 booster descending permutation matrix of table
| Node serial number | 218 | 30 | 31 | 77 | 78 | 106 | 214 | 19 | 79 | 212 | 20 | 42 |
| Sum(1) | 287 | 286 | 286 | 286 | 286 | 283 | 283 | 281 | 281 | 281 | 276 | 276 |
| 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 |
| 2 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 |
| 3 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 |
| 4 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 5 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 6 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 7 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 8 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 |
Sum (1) indicates the quantity of the row 1 in table.
The new monitoring point of step 4, selection
The descending matrix that step 3 obtains is retrieved from big to small according to following setting principles, is set if meeting condition
For newly-increased pressure monitoring point；
4-1 is newly-increased when requiring often to increase a monitoring point to monitor that booster pipeline section is most；
4-2 requires newly-increased monitoring point that can independently monitor the maximum amount of booster pipeline section；
Principle 4-1 importance is abided by when calculating selection arrangement monitoring point and is more than principle 4-2, to monitor maximum model
Bustle pipe section, and same root pipeline section can be made to be monitored as far as possible by multiple monitoring points in booster.
Therefore the number of first monitoring point should be 218 as shown in Table 9, and other monitoring points are chosen successively on this basis
Arrangement, is 17,243,311,338,276,48,326,90,172,197,181,439,259,102,19,425 respectively.
Step 5, after searching monitoring point and can only monitor a newly-increased booster pipeline section, termination algorithm exports monitoring point
ID, otherwise return to step 4 continue to calculate, search for new monitoring point.
Table 10 often increases the newly-increased monitoring pipeline section number in a monitoring point and level of coverage statistical form
When Fig. 3 gives 15 pressure sensors of arrangement, monitoring point distribution schematic diagram.With the increase counted out of monitoring,
The pipeline section quantity monitored is more and more, and coverage area is also increasing.Fig. 4~Fig. 7 be each pipeline section booster after can how many
The statistical chart that a monitoring point is monitored, respectively 1~3,4~7,8~10 and be more than 10；Fig. 8 supervises for monitoring point
Test tube hop count mesh growth trend figure.
Claims (5)
1. serving the pressure tap optimization placement method of water supply network booster monitoring, which is characterized in that include the following steps：
(1) base operation condition is selected, the pressure value H of each node is calculated based on monitoring dataj；
(2) booster model is established, dummy node is added successively among each pipeline section, booster, input jet are simulated using jet model
Coefficient C values calculate the pressure value H ' of corresponding node after each pipeline section booster successivelyi,j；
(3) according to the pressure value of step (1) and (2), change value of pressure of each node after different pipe sections booster is calculated, is pressed
The pressure change matrix is made comparisons to obtain 0-1 by power transformation matrices with the booster threshold value obtained by historical statistical data analysis
Booster judgment matrix, and according to the quantity of matrix each column 1 0-1 boosters judgment matrix is ranked up to obtain descending square by row descending
Battle array；
(4) the descending matrix obtained to step (3) according to setting principle is retrieved from big to small, is set to if meeting condition new
The pressure monitoring point of increasing；
(5) it after searching monitoring point and can only monitor a newly-increased booster pipeline section, terminates and calculates, output pressure monitoring point ID,
Otherwise (4) are returned to continue to calculate, search for new monitoring point.
2. the pressure tap optimization placement method as described in claim 1 for serving the monitoring of water supply network booster, which is characterized in that
In step (2), booster is simulated using jet model in EPANET, establishes efflux coefficient C and each pipeline section booster area correlativity,
C values are set to dummy node, calculate each node pressure after booster.
3. the pressure tap optimization placement method as described in claim 1 for serving the monitoring of water supply network booster, which is characterized in that
In step (3), the descending matrix for obtaining 0-1 booster judgment matrixs is as follows：
3-1 calculates the change value of pressure Δ H of each node after each pipeline section boosteri,j=Hi',j-Hj, every pipeline section is increased successively quick-fried
Nozzle is calculated, and the node pressure variation value matrix of entire pipe network is obtained：
Δ H in formulai,jThe change value of pressure of j nodes, n are pipeline section number after expression i pipeline section boosters, and m is number of nodes, wherein row indicates
The change value of pressure of different pipe sections booster posterior nodal point j, row indicate the change value of pressure of different nodes after pipeline section i boosters；
The determination of 3-2 booster threshold values：All monitoring points are arranged according to normal distribution rule using water supply network historical data
Pressure change △ PiCumulative probability be Pr, assign PrBooster threshold probability thinks the corresponding pressure of the booster threshold probability
Changing value is the booster threshold value of each pressure monitoring point, takes the average value of the booster threshold value of pressure monitoring point to be
Node pressure is changed value matrix and booster threshold value by 3-3It makes comparisons, ifIndicate that i-th pipeline section is quick-fried
Pipe can be monitored by the pressure monitoring point of j-th of node, be set to 1；IfThen indicate i-th pipeline section booster
It can not be monitored by j-th of node, be set to 0, to can get a 0-1 booster judgment matrix, which indicates
Node, row serial number indicate pipeline section；
3-4 arranges its descending, is obtained 0-1 descending matrixes by row statistics 0-1 booster judgment matrixs 1 quantity.
4. the pressure tap optimization placement method as described in claim 1 for serving the monitoring of water supply network booster, which is characterized in that
In step (4), select layout points of the node as pressure monitoring point for meeting setting principle, setting principle as follows：
4-1 is newly-increased when requiring often to increase a monitoring point to monitor that booster pipeline section is most；
4-2 requires newly-increased monitoring point that can independently monitor the maximum amount of booster pipeline section；
When calculating selection pressure monitoring point, defers to principle 4-1 importance and be more than principle 4-2.
5. the pressure tap optimization placement method as claimed in claim 3 for serving the monitoring of water supply network booster, which is characterized in that
In step 3-2, P is assignedrBooster threshold probability be 3%~8%.
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