CN113378340B - Pressure measuring point optimal arrangement method based on event detection and storage medium - Google Patents
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Abstract
The invention discloses a pressure measuring point optimal arrangement method based on event detection and a storage medium, wherein the method comprises the following steps: constructing a pipe network hydraulic model; closing each valve in sequence to obtain the pressure change value of each pressure measuring point, and determining the valve of which the abnormal event can not be monitored according to the pressure change value of each pressure measuring point; taking a node where a valve with an unmonitorable abnormal event is located as a candidate point; closing the valves of the candidate points in sequence to obtain pressure change values of the candidate points, and counting the number of the valves which can be monitored by the candidate points according to a preset monitoring threshold; taking the first candidate point with the largest number of valves which can be monitored as a newly added pressure measuring point; and removing the valves which can be monitored by the first candidate point from the valves which can not be monitored by the abnormal event, and continuing to execute the step of taking the node where the valve which can not be monitored by the abnormal event is located as the candidate point until the candidate point is empty. The invention can comprehensively monitor the abnormal events of the pipe network and simultaneously minimize the total number of pressure measuring points.
Description
Technical Field
The invention relates to the field of arrangement of pressure monitoring points of a water supply network, in particular to a pressure measuring point optimal arrangement method based on event detection and a storage medium.
Background
Urban water supply enterprises realize the real-time monitoring of a water supply network through installing pressure measuring points in the pipe network, guarantee water supply pressure and guarantee safe and reliable operation of water supply. How to optimize the arrangement position of the measuring points to realize maximum monitoring is always a subject of attention in the water supply industry.
For example, in chinese patent document CN111119282B, an optimized arrangement method for pressure monitoring points of a water supply network is disclosed, which includes: constructing a leakage probability model; calculating to obtain the leakage probability of each node according to a leakage probability model, and performing pipe network leakage simulation on the water-requiring nodes with the leakage probability larger than a preset value by adopting pipe network adjustment software EPANET (equivalent average particle size) to obtain pressure data Hi of each node of the pipe network under the leakage condition within 24h a day; performing hydraulic simulation calculation on the pipe network data under normal working conditions by using pipe network adjustment software EPANET to obtain pressure data Hi' of each node of the pipe network within 24h a day; calculating a pressure sensitivity matrix, and sequentially carrying out standard deviation standardization and extreme value standardization on the matrix to obtain the sensitivity of each node to leakage; and performing NSGAII dual-target iterative optimization, wherein the threshold range of the sensitivity is used as the standard of the monitoring points for covering the leakage events, the number of the monitoring points is minimized, the number of the uncovered leakage events is minimized, and a group of Pareto optimal solutions, namely optimal distribution corresponding to the number of different monitoring points, is obtained through iteration.
However, the above-mentioned measuring point arrangement method is only for monitoring water leakage, and does not take into account abnormal operation of the pipe network, such as closing of a valve, which often occurs in the pipe network, and thus cannot meet the requirement that an enterprise wants to detect a pipe network event in real time through monitoring.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the pressure measuring point optimal arrangement method based on event detection and the storage medium are provided, and comprehensive monitoring of abnormal events of the pipe network can be realized.
In order to solve the technical problems, the invention adopts the technical scheme that: a pressure measuring point optimal arrangement method based on event detection comprises the following steps:
constructing a pipe network hydraulic model, wherein the pipe network hydraulic model comprises at least one pressure measuring point and at least one valve;
closing each valve in sequence to obtain a pressure change value of each pressure measuring point, and determining the valve of which the abnormal event can not be monitored according to the pressure change value of each pressure measuring point and a preset first threshold value;
taking a node where the valve in which the abnormal event can not be monitored as a candidate point;
closing valves of which abnormal events can not be monitored in sequence to obtain pressure change values of the candidate points, and counting the number of the valves which can be monitored by the candidate points according to the pressure change values of the candidate points and a preset monitoring threshold;
determining a first candidate point with the largest number of valves which can be monitored, and taking the first candidate point as a newly added pressure measuring point;
and removing the valve which can be monitored by the first candidate point from the valves which can not be monitored by the abnormal event, and continuing to execute the step of taking the node where the valve which can not be monitored by the abnormal event is located as the candidate point until the valve which can not be monitored by the abnormal event is empty.
The invention also proposes a computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method as described above.
The invention has the beneficial effects that: the valves with abnormal events which cannot be monitored under the existing pressure measuring point layout scheme are determined by closing the valves in the pipe network hydraulic model and analyzing the pressure change values of the pressure measuring points, the valves are used as candidate points of new pressure measuring points, and then the candidate points which can monitor the abnormal events of other valves as much as possible are selected from the candidate points and used as the installation positions of the new pressure measuring points, so that the total number of the pressure measuring points can be minimized under the condition that the abnormal events of all the valves can be monitored. The invention optimizes the layout of the pressure measuring points based on maximizing the monitoring coverage rate of abnormal events and minimizing the total number of the pressure measuring points, thereby realizing the comprehensive monitoring of the abnormal events of the pipe network.
Drawings
Fig. 1 is a flowchart of a pressure measurement point optimal arrangement method based on event detection according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a city water supply network model according to a second embodiment of the present invention;
fig. 3 is a schematic diagram of an optimized arrangement result of pressure measurement points according to a second embodiment of the present invention.
Detailed Description
In order to explain technical contents, objects and effects of the present invention in detail, the following detailed description is given with reference to the accompanying drawings in conjunction with the embodiments.
Referring to fig. 1, a method for optimally arranging pressure measurement points based on event detection includes:
constructing a pipe network hydraulic model, wherein the pipe network hydraulic model comprises at least one pressure measuring point and at least one valve;
closing each valve in sequence to obtain the pressure change value of each pressure measuring point, and determining the valve of which the abnormal event can not be monitored according to the pressure change value of each pressure measuring point and a preset first threshold value;
taking a node where the valve of which the abnormal event can not be monitored is located as a candidate point;
closing valves of which abnormal events can not be monitored in sequence to obtain pressure change values of the candidate points, and counting the number of the valves which can be monitored by the candidate points according to the pressure change values of the candidate points and a preset monitoring threshold;
determining a first candidate point with the largest number of valves which can be monitored, and taking the first candidate point as a newly added pressure measuring point;
and removing the valve which can be monitored by the first candidate point from the valves which can not be monitored by the abnormal event, and continuing to execute the step of taking the node where the valve which can not be monitored by the abnormal event is located as the candidate point until the valve which can not be monitored by the abnormal event is empty.
From the above description, the beneficial effects of the present invention are: the method can realize comprehensive monitoring of abnormal events of the pipe network, and simultaneously minimize the total number of the pressure measuring points, thereby realizing the optimized layout of the pressure measuring points.
Further, after the building of the pipe network hydraulic model, the method further comprises the following steps:
and verifying the hydraulic model of the pipe network.
Further, the verifying the pipe network hydraulic model specifically comprises:
calculating the mean value of absolute errors of each pressure measuring point in the pipe network hydraulic model in multiple time periods;
and if the ratio of the number of the pressure measuring points with the absolute error mean value smaller than or equal to the preset error threshold value to the total number of the pressure measuring points exceeds the preset ratio, judging that the hydraulic model of the pipe network passes the verification.
According to the description, the constructed hydraulic model of the pipe network can represent the running condition of the actual pipe network, so that the accuracy of the layout of the subsequent pressure measuring points is ensured.
Further, the closing operation of each valve is performed in sequence to obtain the pressure change value of each pressure measurement point, and according to the pressure change value of each pressure measurement point and a preset first threshold value, the specific steps of determining the valve whose abnormal event cannot be monitored are as follows:
obtaining a first pressure value of each pressure measuring point under a preset working condition through calculation of a pipe network adjustment;
traversing all valves in the pipe network hydraulic model, and selecting one valve from the valves in sequence;
closing the valve, and calculating through a pipe network adjustment to obtain a second pressure value of each pressure measuring point;
calculating the pressure change value of each pressure measuring point according to the first pressure value and the second pressure value of each pressure measuring point;
if a pressure measuring point with a pressure change value larger than a preset first threshold exists, judging that the abnormal event of the valve can be monitored, otherwise, judging that the abnormal event of the valve cannot be monitored;
and after traversing all valves in the pipe network hydraulic model, determining the valves of which abnormal events can not be monitored.
Further, after determining the valve in which the abnormal event cannot be monitored, the method further includes:
and calculating the monitoring coverage rate corresponding to the first threshold value according to the number of the valves which can be monitored in the abnormal event and the total number of the valves.
As can be seen from the above description, different first thresholds may correspond to different monitoring coverage rates, and then the generated voltage measuring point layout schemes are different for the corresponding different first thresholds.
Further, closing the valves that can not be monitored in each abnormal event in sequence to obtain the pressure change value of each candidate point, and according to the pressure change value of each candidate point and a preset monitoring threshold, counting the number of valves that can be monitored by each candidate point specifically:
traversing valves of which various abnormal events can not be monitored;
closing the currently traversed valve, and calculating the pressure change value of each candidate point according to the pressure values of each candidate point before and after the closing operation;
if the pressure change value of a candidate point is larger than a preset monitoring threshold value, judging that the candidate point can monitor the currently traversed valve;
after traversing the valves which can not be monitored in each abnormal event, respectively counting the number of the valves which can be monitored in each candidate point.
As can be seen from the above description, for a valve whose abnormal event cannot be monitored, candidate points that can be monitored to perform a closing operation are obtained first, and then the number of valves that can be monitored is counted for each candidate point.
The invention also proposes a computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method as described above.
Example one
Referring to fig. 1, a first embodiment of the present invention is: an optimal arrangement method of pressure measurement points based on event detection can be applied to monitoring abnormal operation of a water supply network, as shown in fig. 1, and comprises the following steps:
s1: and constructing a pipe network hydraulic model, wherein the pipe network hydraulic model comprises n pressure measuring points and m valves.
Specifically, basic data and continuous multi-day operation data of a water supply network are collected, wherein the basic data and continuous multi-day operation data comprise monitoring data such as business charge, remote water meters and SCADA (supervisory control and data acquisition), and a hydraulic model of the water supply network is established by utilizing Epanet software.
Further, the hydraulic model of the pipe network is verified, and the following steps are executed after the verification is passed. Specifically, an absolute error mean value of each pressure measuring point in the pipe network hydraulic model in multiple time periods is calculated, if the ratio of the number of the pressure measuring points, of which the absolute error mean value is smaller than or equal to a preset error threshold value, to the total number of the pressure measuring points exceeds a preset ratio, it is determined that the pipe network hydraulic model passes verification, and if not, the pipe network hydraulic model does not pass verification.
S2: and closing the valves in sequence to obtain the pressure change value of each pressure measuring point, and determining the valve of which the abnormal event can not be monitored according to the pressure change value of each pressure measuring point.
Specifically, the step S2 includes:
s201: obtaining a first pressure value of each pressure measuring point under a preset working condition through calculation of a pipe network adjustment; in this embodiment, the preset working condition is a working condition corresponding to the highest flow rate. Recording the first pressure value of each pressure measuring point as P i (i＝1,2…,n)。
S202: and traversing each valve in the pipe network hydraulic model, and selecting one valve from the valves in sequence. For example, assume with V j The valve number is represented as i =1,2 \8230m, and m is a value in which V is selected in order 1 、V 2 ……V m 。
S203: and closing the valve, and calculating through a pipe network adjustment to obtain a second pressure value of each pressure measuring point. Specifically, the adjustment calculation is carried out again by using Epanet software, and the pressure value P of each pressure measuring point is recorded ij I =1,2 8230n, j is the serial number of the valve, i.e. the currently selected valve.
S204: calculating the pressure change value of each pressure measuring point according to the first pressure value and the second pressure value of each pressure measuring point; namely, respectively calculating the first pressure value P of each pressure measuring point i And a second pressure value P ij Obtaining the valve V corresponding to each pressure measuring point by the absolute value of the difference value j Pressure change value delta P before and after closing ij 。
S205: and judging whether a pressure measuring point with a pressure change value larger than a preset first threshold exists, if so, executing step S206, otherwise, executing step S207. In this embodiment, the first threshold is 5kpa.
S206: determining an abnormal event of the valve may be monitored. I.e. if there is a certain ap ij Above the first threshold, it is assumed that an abnormal event (valve operation) of the currently selected valve can be monitored.
S207: determining that an abnormal event of the valve cannot be monitored. That is, if the pressure change values of the respective pressure measurement points before and after the currently selected valve is closed do not exceed the first threshold, it is considered that the abnormal event (valve operation) of the currently selected valve cannot be monitored.
And continuing to select the next valve from the valves, and then repeatedly executing the steps S202-S207 until all the valves in the hydraulic model of the pipe network are traversed, and finally determining all the valves of which the abnormal events can not be monitored.
Further, in a specific implementation, an abnormal event monitoring statistical table may be established, and for before and after the jth valve is closed, if the pressure change value of the ith pressure measurement point is greater than a preset threshold value, the position corresponding to the jth valve and the ith pressure measurement point in the abnormal event monitoring statistical table is marked as 1, otherwise, the position is marked as 0. And accumulating the values corresponding to all the valves after traversing all the valves in the pipe network hydraulic model to obtain a total value. If the total value of a valve is greater than or equal to 1, the valve is considered to be monitored; if the total value of a valve is 0, the valve is considered to be unmonitorable.
In this embodiment, the finally obtained abnormal event monitoring statistical table is shown in table 1.
Table 1: abnormal event monitoring statistical table
| Valve ID | Pressure measuring point 1 | Pressure measuring point 2 | Pressure measuring point 3 | …… | Pressure measuring point n | Total of | Whether or not to be monitored |
| V 1 | 0 | 0 | 1 | …… | 0 | 1 | Is that |
| V 2 | 0 | 0 | 0 | …… | 0 | 0 | Whether or not |
| …… | …… | …… | …… | …… | …… | …… | …… |
| V m | 1 | 1 | 0 | 0 | 2 | Is that |
Further, the number of the valves, in which the abnormal event can be monitored, is divided by the total number of the valves, so that the monitoring coverage rate corresponding to the first threshold can be calculated.
S3: and taking the node where the valve of which the abnormal event can not be monitored as a candidate point.
Assuming that the number of the valves of which abnormal events can not be monitored is k, it indicates that the nodes where the k valves are located are all candidate points of the pressure measurement points.
S4: closing the valves of which the abnormal events can not be monitored in sequence to obtain the pressure change values of the candidate points, and counting the number of the valves which can be monitored by the candidate points according to the pressure change values of the candidate points and a preset monitoring threshold value.
Specifically, traversing valves for which the abnormal event cannot be monitored; closing the currently traversed valve, and calculating the pressure change value of each candidate point according to the pressure values of each candidate point before and after the closing operation; if the pressure change value of a candidate point is larger than a preset monitoring threshold value, judging that the candidate point can monitor the currently traversed valve; after traversing the valves of which the abnormal events can not be monitored, the valves of which the candidate points can be monitored can be determined, and then the number of the valves of which the candidate points can be monitored is obtained through statistics.
Further, in a specific implementation, a monitoring matrix E may be constructed, the size of which is k × k, i.e., the number of rows and columns and the number of exceptional eventsThe number of valves that cannot be monitored is the same. If the pressure change value of the jth candidate point is larger than the monitoring threshold value before and after the ith valve is closed, i =1,2 \8230, k, j =1,2 \8230, k, let E ij =1, i.e. setting the value of the matrix element in the ith row and the jth column in the monitoring matrix to 1, otherwise, setting E ij And =0. That is, if E ij =1, it indicates that the ith valve can be monitored at the jth candidate point.
And after traversing k valves which can not be monitored in abnormal events, constructing a monitoring matrix.
And then adding the values of the matrix elements of each column in the monitoring matrix respectively to obtain the number of valves which can be monitored by each candidate point. For example, the values of the matrix elements in the 1 st column in the monitoring matrix are added to obtain the number of valves that can be monitored by the 1 st candidate point.
S5: and determining a first candidate point with the maximum number of valves which can be monitored, and taking the first candidate point as a newly added pressure measuring point.
S6: and removing the valve which can be monitored by the first candidate point from the valves which can not be monitored by the abnormal event.
For example, assuming that the number of valves that can be monitored by the jth candidate point is the largest, and a valves can be monitored in total, the jth candidate point is used as a new pressure measurement point, and then the a valves are removed from the valves whose abnormal events cannot be monitored, at this time, the number of valves whose abnormal events cannot be monitored is k-a, and then k = k-a.
S7: judging whether a valve of which the abnormal event cannot be monitored is empty, namely judging whether a valve of which the abnormal event cannot be monitored still exists, namely judging whether the current k is 0; if the abnormal event is not monitored, the valve which has no abnormal event and can not be monitored is indicated, the process is ended, if the abnormal event is not monitored, the valve which has the abnormal event and can not be monitored is indicated, a new pressure measuring point is continuously determined in the valves which have the abnormal event and can not be monitored, and the step S3 is executed in a returning mode.
According to the embodiment, the abnormal operation of the pipe network is monitored, various events in the pipe network are simulated through calculation of a hydraulic model of the pipe network, an event simulation library is established, the arrangement of monitoring points is optimized, and the coverage rate of abnormal event detection of the pipe network is improved.
Example two
Referring to fig. 2-3, the present embodiment is a specific application scenario of the above embodiment.
Firstly, a city water supply model is established. In this embodiment, a model of a water supply system with a diameter of 100mm or more is established for X city, and there are 2582 main pipeline valves (DN 300mm or more), 49844 total nodes, 1700 kilometers pipeline length, 2 water plants, 16 pump stations, about 80 ten thousand tons/day of peak water supply, and 66 existing pressure monitoring points (i.e., pressure measuring points) in the city water supply network, as shown in fig. 2.
After the model is verified, the number of the pressure measuring points with the multi-period absolute error mean value controlled in the range of 1kPa accounts for 74 percent of the total number, the monitoring points with the errors controlled in the range of 2kPa reach 100 percent, the requirement of model checking is completely met, and the model can represent the running condition of an actual pipe network.
The water supply area in the X city is 158 square kilometers, the number of the existing pressure measuring points is 66, and 1 measuring point is arranged in 2.3 square kilometers on average, so that the requirement of 1 measuring point in 10 square kilometers specified by the national standard is completely met.
The method of the embodiment is utilized to evaluate the capability of the current system for detecting the abnormal event, when abnormal operation occurs in the pipe network, the influence of different valve operations on the pressure measurement point is simulated through the model, and the detection rate of the monitoring event, namely the monitoring coverage rate based on the abnormal event detection, is counted. Calculating at different first thresholds: counting the times of events which can be detected under the conditions of 1kPa, 2kPa, 3kPa, 4kPa and 5kPa, and then calculating the monitoring coverage rate under the abnormal events. The calculation results are shown in table 2.
Table 2:
| first threshold value | 1kPa | 2kPa | 3kPa | 4kPa | 5kPa |
| Monitoring coverage | 88％ | 65.4％ | 51.8％ | 37.2％ | 29.3％ |
As can be seen from table 2, the monitoring coverage at different first threshold values, i.e. at different pressure monitoring accuracies, differ greatly. For example, when the first threshold is 1kPa, abnormal operation of 2272 stem valves can be monitored, and the abnormal event monitoring coverage can reach 88.0%; while the first threshold was 5kPa, operation of the 758 trunk valves could be monitored, with only 29.3% monitoring coverage for anomalous events.
Considering the monitoring accuracy of the current pressure gauge and pressure fluctuation existing in the pipe network, the pressure accuracy is suitable for 5kPa in practice, that is, 5kPa is selected as the first threshold, in this embodiment, the monitoring coverage rate of the abnormal event is only 29.3%, that is, the number of valves that can be monitored in the abnormal event is 758, and the remaining 2582-758=1824 valves are valves that cannot be monitored in the abnormal event.
Taking the nodes where the remaining 1824 valves are located as candidate points of the pressure measuring points, closing one valve in sequence, and calculating the pressure change value of each candidate point before and after the valve is closed; when the pressure variation value is greater than the preset monitoring threshold value, it is recorded as 1, otherwise it is recorded as 0, so as to construct a monitoring matrix (the size of the initial monitoring matrix is 1824 × 1824). And counting the number of valves which can be monitored by each candidate point according to the monitoring matrix, sequencing the candidate point with the largest number of valves which can be monitored, and taking the candidate point as the installation position of a new pressure measuring point. At this time, the valve which can be monitored by the candidate point becomes the valve whose abnormal event can be monitored, the valve which can be monitored by the candidate point is removed from 1824 valves, then a monitoring matrix is constructed for the valve whose abnormal event can not be monitored after removal, and the monitoring matrix is repeated for a plurality of times until all the abnormal events of the valves can be monitored. In this example, 23 new pressure measurement points were finally determined, as shown in fig. 3.
EXAMPLE III
The present embodiment is a computer-readable storage medium corresponding to the above embodiments, and a computer program is stored thereon, and when the program is executed by a processor, the program implements the steps of the pressure measurement point optimal arrangement method based on event detection in the above embodiments, and can achieve the same technical effects, which are not described herein again.
In summary, according to the pressure measurement point optimal arrangement method and the storage medium based on event detection provided by the present invention, by performing a closing operation on each valve in the pipe network hydraulic model and analyzing the pressure change value of each pressure measurement point, valves whose abnormal events cannot be monitored under the existing pressure measurement point arrangement scheme are determined, the valves are used as candidate points of new pressure measurement points, and then candidate points that can monitor as many abnormal events of other valves as possible are selected from the candidate points and used as the installation positions of the new pressure measurement points, so that the total number of the pressure measurement points can be minimized under the condition that all the abnormal events of the valves can be monitored. The invention can comprehensively monitor the abnormal events of the pipe network and simultaneously minimize the total number of the pressure measuring points, thereby realizing the optimized layout of the pressure measuring points.
The above description is only an embodiment of the present invention, and is not intended to limit the scope of the present invention, and all equivalent modifications made by the present invention and the contents of the accompanying drawings, which are directly or indirectly applied to the related technical fields, are included in the scope of the present invention.
Claims (6)
1. A pressure measuring point optimal arrangement method based on event detection is characterized by comprising the following steps:
s1: constructing a pipe network hydraulic model, wherein the pipe network hydraulic model comprises at least one pressure measuring point and at least one valve;
s2: sequentially closing one valve in each valve to obtain a pressure change value of each pressure measurement point before and after the valve is closed, and if the pressure change value of each pressure measurement point is smaller than or equal to a preset first threshold value, judging that an abnormal event of the valve cannot be monitored, wherein the abnormal event comprises valve closing;
s3: taking a node where the valve of which the abnormal event can not be monitored is located as a candidate point;
s4: closing valves of which abnormal events can not be monitored in sequence to obtain pressure change values of the candidate points, and counting the number of the valves which can be monitored by the candidate points according to the pressure change values of the candidate points and a preset monitoring threshold;
s5: determining a first candidate point with the largest number of valves which can be monitored, and taking the first candidate point as a newly added pressure measuring point;
s6: removing the valves which can be monitored by the first candidate point from the valves which can not be monitored by the abnormal event, and continuing to execute the steps S3, S4, S5 and S6 until the valves which can not be monitored by the abnormal event are empty;
the step S4 specifically includes:
traversing valves of which various abnormal events can not be monitored;
closing the currently traversed valve, and calculating the pressure change value of each candidate point according to the pressure values of each candidate point before and after the closing operation;
if the pressure change value of a candidate point is larger than a preset monitoring threshold value, judging that the candidate point can monitor the currently traversed valve;
after traversing the valves which can not be monitored in each abnormal event, respectively counting the number of the valves which can be monitored in each candidate point.
2. The method for optimally arranging pressure measuring points based on event detection as claimed in claim 1, wherein after the constructing of the hydraulic model of the pipe network, the method further comprises:
and verifying the hydraulic model of the pipe network.
3. The optimal arrangement method of pressure measurement points based on event detection as claimed in claim 2, wherein the verification of the hydraulic model of the pipe network specifically comprises:
calculating the average absolute error value of each pressure measuring point in the pipe network hydraulic model in multiple time periods;
and if the ratio of the number of the pressure measuring points with the absolute error mean value smaller than or equal to the preset error threshold value to the total number of the pressure measuring points exceeds the preset ratio, judging that the hydraulic model of the pipe network passes the verification.
4. The method according to claim 1, wherein the step S2 specifically comprises:
obtaining a first pressure value of each pressure measuring point under a preset working condition through calculation of a pipe network adjustment;
traversing each valve in the pipe network hydraulic model, and sequentially selecting one valve from the valves;
closing the valve, and calculating through a pipe network adjustment to obtain a second pressure value of each pressure measuring point;
calculating the pressure change value of each pressure measuring point according to the first pressure value and the second pressure value of each pressure measuring point;
if a pressure measuring point with a pressure change value larger than a preset first threshold exists, judging that the abnormal event of the valve can be monitored, otherwise, judging that the abnormal event of the valve cannot be monitored;
and after traversing all valves in the pipe network hydraulic model, determining the valves of which abnormal events can not be monitored.
5. The method as claimed in claim 4, wherein after determining the valve that the abnormal event cannot be monitored, the method further comprises:
and calculating the monitoring coverage rate corresponding to the first threshold value according to the number of the valves which can be monitored in the abnormal event and the total number of the valves.
6. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the steps of the method according to any one of claims 1-5.
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