Method for identifying weak points in water supply network water quality and computer-readable storage medium

Abstract

The present invention discloses a method for identifying weak points in the water quality of a water supply network and a computer-readable storage medium. The method includes: establishing a hydraulic model of the water supply network; obtaining the flow velocity of each pipeline in the hydraulic model of the water supply network at each moment through hydraulic adjustment calculation, and calculating the risk degree of each pipeline according to a preset unit time period and the flow velocity of each pipeline; and determining the weak points in the water quality according to the risk degree of each pipeline and a preset risk degree threshold. The present invention can detect the weak points in the water quality of the network in real time and reduce the risk of water quality incidents.

Description

Technical Field

[0001] The present invention relates to the technical field of water supply, and particularly relates to a method for identifying weak points in the water quality of a water supply pipe network and a computer-readable storage medium. Background Art

[0002] Urban water supply pipe networks are one of the important infrastructure facilities in cities and are the basic guarantee for the normal operation and stable development of cities; one of the important goals of urban water supply systems is to provide users with safe and hygienic tap water. As an important part of the water supply system, the water supply pipe network is the lifeblood of urban water supply and undertakes the task of transporting factory water to users; during the operation of the pipe network, water quality pollution accidents will inevitably occur. Therefore, strengthening the monitoring and informatization management of pipe network water quality and improving the prevention and emergency response capabilities for pipe network water quality accidents are of great significance for ensuring urban water supply safety and improving user water quality.

[0003] One of the common causes of water quality problems in water supply pipe networks is that the flow rate of some pipelines in the pipe network is extremely low, and the water in the pipelines hardly flows, thus forming "stagnant water". Under the combined influence of physical, chemical, microbial and other effects, the water quality in the pipelines has changed. When the operating conditions of the pipe network change, the "stagnant water" will overflow into the pipe network, polluting the pipe network water quality and ultimately affecting the water use safety and health of users.

[0004] The current traditional methods for dealing with water quality problems mainly rely on the monitoring data of water quality monitoring points, or discovering problems through manual inspections and on-site sampling in daily management work, and conducting investigations and tracing based on user complaint records after water quality problems occur. These methods are often lagging in dealing with pipe network water pollution incidents and also lack pre-judgment and response measures for pipe network water quality safety.

[0005] In the Chinese patent publication No. CN113516381A, a method for evaluating the water quality of a water supply pipe network based on optimized fuzzy hierarchy analysis is proposed, including establishing a factor library affecting the water quality of the water supply pipe network; setting relevant weights according to the importance degree of each factor on the evaluation result, constructing a membership function equation, and establishing a relationship matrix between the influencing factors and water quality. This method establishes a multi-level and multi-factor decision-making water quality evaluation model for the water supply pipe network from three criterion indicators of environment, pipeline, and effluent water quality to evaluate the water quality of the pipe network. However, this method mainly uses static indicators to evaluate water quality and can only evaluate the water quality risk at a single moment of the pipe network and cannot judge the water quality risk in real time. Summary of the Invention

[0006] The technical problem to be solved by the present invention is to provide a method for identifying weak points in the water quality of a water supply pipe network and a computer-readable storage medium, which can detect weak points in the water quality of the pipe network in real time and reduce the risk of water quality incidents.

[0007] To solve the above technical problems, the technical solution adopted by the present invention is as follows: A method for identifying weak points in the water quality of a water supply network, comprising:

[0008] Establish a hydraulic model of the water supply network;

[0009] Through hydraulic adjustment calculation, obtain the flow velocity of each pipeline in the hydraulic model of the water supply network at each moment, and calculate the risk degree of each pipeline according to the preset unit time period and the flow velocity of each pipeline;

[0010] Determine the weak points in water quality according to the risk degree of each pipeline and the preset risk degree threshold.

[0011] The present invention also proposes a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the above-mentioned method is implemented.

[0012] The beneficial effects of the present invention are as follows: By establishing a hydraulic model of the water supply network, the operation state of the network can be dynamically simulated, and real-time monitoring and simulation calculation of the network state can be carried out; by monitoring the flow velocity of the pipelines in the network and calculating the risk degree of the pipelines in real time, the weak points in the water quality of the network can be identified in real time according to the risk degree. The present invention overcomes the limitation of the traditional method of only evaluating the current water quality state of the network through static indicators, can judge the risk degree of the pipeline in real time and quantitatively, identify the areas prone to risks, and can take preventive measures against the weak points in the water quality of the network in time, thereby greatly reducing the risk of water quality incidents. Brief Description of the Drawings

[0013] Figure 1 It is a flow chart of a method for identifying weak points in the water quality of a water supply network according to an embodiment of the present invention;

[0014] Figure 2 It is a flow chart of the method according to Embodiment 1 of the present invention;

[0015] Figure 3 It is a schematic diagram of the identification result of the weak points in water quality according to Embodiment 2 of the present invention. Detailed Embodiments

[0016] To describe in detail the technical content, the achieved purpose and the effects of the present invention, the following is described in detail in combination with the embodiments and with reference to the drawings.

[0017] Please refer to Figure 1 , a method for identifying weak points in the water quality of a water supply network, comprising:

[0018] Establish a hydraulic model of the water supply network;

[0019] Through hydraulic calibration calculation, the flow velocity of each pipeline in the water supply network hydraulic model at each moment is obtained, and the risk degree of each pipeline is calculated according to the preset unit time period and the flow velocity of each pipeline.

[0020] According to the risk degree of each pipeline and the preset risk degree threshold, the water quality weak points are determined.

[0021] As can be seen from the above description, the beneficial effects of the present invention are as follows: It overcomes the limitation of the traditional method of only evaluating the current water quality state of the pipe network through static indicators, can judge the risk degree of the pipeline in real time and quantitatively, and identify the areas prone to risks.

[0022] Further, the specific calculation of the risk degree of each pipeline according to the preset unit time period and the flow velocity of each pipeline is as follows:

[0023] According to the preset unit time period, it is judged whether the maximum flow velocity of a pipeline in the current unit time period is less than the preset flow velocity threshold.

[0024] If so, the cumulative unit time period number of the pipeline is incremented by one, and the initial value of the cumulative unit time period number is zero.

[0025] If not, it is judged whether the pipeline meets the preset zero-clearing conditions, and the zero-clearing conditions include that the pipeline is flushed in the current unit time period, the water flow direction of the pipeline changes in the current unit time period, and the maximum flow velocity in each unit time period of a continuous preset number of unit time periods is greater than or equal to the preset flow velocity threshold for at least one of them.

[0026] If not satisfied, the cumulative unit time period number of the pipeline is incremented by zero.

[0027] If satisfied, the cumulative unit time period number of the pipeline is reset to zero.

[0028] The risk degree of the pipeline is calculated according to the risk degree calculation formula, and the risk degree calculation formula is r = t 2 / T 2 , where r is the risk degree of the pipeline, t is the cumulative unit time period number of the pipeline, and T is the preset number of unit time periods.

[0029] Further, the preset flow velocity threshold is 0.02 m / s.

[0030] Further, the preset unit time period is one day; the preset number is 10; T = 15.

[0031] As described above, if the maximum flow rate of a pipeline in a day is less than a preset flow rate threshold, it is considered that the pipeline generates water quality risks; if the number of days when the maximum flow rate of the pipeline is less than the flow rate threshold increases, the risk level of the pipeline increases dynamically with the number of days; the increase in the risk level is related to the square of the number of days, and when the cumulative number of days when the maximum flow rate of the pipeline is less than the flow rate threshold reaches 15 days, it is considered that the pipeline generates water quality risks.

[0032] Further, determining the water quality weak points according to the risk levels of each pipeline and a preset risk level threshold specifically includes:

[0033] If the risk level of a pipeline is greater than the preset risk level threshold, then the pipeline is taken as a water quality weak point.

[0034] Further, after calculating the risk levels of each pipeline according to a preset unit time period and the flow rates of each pipeline, it further includes:

[0035] Calculating the comprehensive water quality risk level of the water supply network according to the risk levels of each pipeline.

[0036] Further, calculating the comprehensive water quality risk level of the water supply network according to the risk levels of each pipeline specifically includes:

[0037] Calculating the comprehensive water quality risk level of the water supply network according to the comprehensive water quality risk level calculation formula, and the comprehensive water quality risk level calculation formula is

[0038]

[0039] where r 管网 is the comprehensive water quality risk of the water supply network, n is the total number of pipelines in the water supply network hydraulic model, r i is the risk level of the i-th pipeline in the water supply network hydraulic model, R i is the radius of the i-th pipeline, and L i is the length of the i-th pipeline.

[0040] As described above, by calculating the comprehensive water quality risk level of the water supply network, the water quality risks of the entire network can be overall evaluated, and the water quality situation of the entire network at the current moment can be understood.

[0041] Further, after determining the water quality weak points according to the risk levels of each pipeline and a preset risk level threshold, it further includes:

[0042] Dynamically displaying the comprehensive water quality risk level in the water supply network hydraulic model and highlighting the water quality weak points.

[0043] As described above, it is convenient for water service staff to intuitively view the water quality risks and water quality weak points of the overall management.

[0044] The present invention also provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the above-described method is implemented.

[0045] Embodiment 1

[0046] Please refer to Figure 2 , Embodiment 1 of the present invention is: A method for identifying weak points in the water quality of a water supply network, which can be applied to municipal underground water supply projects.

[0047] As Figure 2 shown, the method includes the following steps:

[0048] S1: Establish a hydraulic model of the water supply network, that is, use modeling software to construct a hydraulic model of the water supply network. During the model establishment process, import GIS data of pipelines, nodes, and valves, data of water plants and pumping stations, SCADA (Supervisory Control And Data Acquisition) data of monitoring points, and data of revenue water volume to build a model framework; subsequently, use the software to perform hydraulic adjustment calculations on the water supply network, and the pressure of each node in the network and the flow rate and flow velocity of each pipeline can be obtained, realizing real-time simulation of the overall water supply network.

[0049] S2: Through hydraulic adjustment calculations, obtain the flow velocity of each pipeline in the water supply network hydraulic model at each moment, and calculate the risk degree of each pipeline according to the preset unit time period and the flow velocity of each pipeline.

[0050] Through the real-time online model, the flow velocity of all pipelines in the network at all times can be monitored. If the flow velocity of the water in the pipeline is extremely low and the water hardly flows in the pipeline, it is extremely easy to form "stagnant water", and once the "stagnant water" flows in the network, it will bring water quality problems to the network. The longer the time when the flow velocity is in an extremely low state, the greater the water quality risk.

[0051] Specifically, the calculation process of the risk degree of the pipeline includes the following steps:

[0052] S201: According to the preset unit time period, judge whether the highest flow velocity of a pipeline in the current unit time period is less than the preset flow velocity threshold. If so, execute step S202; if not, execute step S203.

[0053] S202: Increment the cumulative unit time period number of the pipeline by one, and the initial value of the cumulative unit time period number is zero. Then execute step S206.

[0054] S203: Judge whether the pipeline meets the preset clearing condition. If so, execute step S204; if not, execute step S205.

[0055] Among them, the zero-clearing conditions include at least one of the following conditions:

[0056] 1. The pipeline is flushed within the current unit time period;

[0057] 2. The water flow direction of the pipeline changes within the current unit time period;

[0058] 3. The maximum flow velocity in each unit time period within a continuous preset number of unit time periods is greater than or equal to the preset flow velocity threshold.

[0059] S204: Reset the cumulative number of unit time periods of the pipeline to zero. Then perform step S206.

[0060] S205: Let the cumulative number of unit time periods of the pipeline add zero, that is, remain unchanged. Then perform step S206.

[0061] S206: According to the risk degree calculation formula r = t 2 / T 2 , calculate the risk degree of the pipeline, where r is the risk degree of the pipeline, t is the cumulative number of unit time periods of the pipeline, and T is the preset number of unit time periods.

[0062] In this embodiment, the preset unit time period is one day; the preset flow velocity threshold is 0.02 m / s; the preset number is 10; T = 15.

[0063] That is, at the end of each day, it is judged whether the maximum flow velocity of the pipeline on that day is less than 0.02 m / s. If so, the cumulative number of days increases by one day. If not, and the zero-clearing condition is not satisfied, the cumulative number of days increases by 0 days, that is, remains unchanged. If the maximum flow velocity is still less than the flow velocity threshold on the next day, the cumulative number of days continues to accumulate. However, when the pipeline is flushed, the water flow direction in the pipeline changes, or the maximum flow velocity of each day in 10 consecutive days is greater than or equal to the flow velocity threshold, the risk degree of the pipeline drops to 0, that is, the cumulative number of days is reset to zero, and then the cumulative number of days starts to accumulate again.

[0064] That is to say, in this embodiment, if the maximum flow velocity of a pipeline in a day is less than the preset flow velocity threshold, it is considered that the pipeline generates water quality risk; if the number of days when the pipeline maximum flow velocity is less than the flow velocity threshold increases, the risk degree of the pipeline increases dynamically with the number of days; the growth of the risk degree is related to the square of the number of days, and when the cumulative number of days when the pipeline maximum flow velocity is less than the flow velocity threshold reaches 15 days, it is considered that the pipeline generates water quality risk. At this time, the risk degree r of the pipeline = 1.

[0065] S3: Determine the water quality weak points according to the risk degree of each pipeline and the preset risk degree threshold.

[0066] Specifically, if the risk level of a pipeline is greater than a preset risk level threshold, then the pipeline is regarded as a water quality weak point.

[0067] In this embodiment, the risk level threshold is 1. That is to say, pipelines with a risk level greater than 1 are regarded as water quality weak points in the water supply network.

[0068] S4: Calculate the comprehensive water quality risk level of the water supply network according to the risk levels of each pipeline.

[0069] Specifically, calculate the comprehensive water quality risk level of the water supply network according to the comprehensive water quality risk level calculation formula. The comprehensive water quality risk level calculation formula is:

[0070]

[0071] where r 管网 is the comprehensive water quality risk of the water supply network, n is the total number of pipelines in the water supply network hydraulic model, r i is the risk level of the i-th pipeline in the water supply network hydraulic model, R i is the radius of the i-th pipeline, and L i is the length of the i-th pipeline.

[0072] By calculating the comprehensive water quality risk level of the water supply network, the water quality risk of the entire network can be comprehensively evaluated, and the water quality situation of the entire network at the current moment can be understood.

[0073] Steps S3 and S4 can be executed regardless of the order.

[0074] S5: Display the real-time evaluation results of the pipeline water quality risk in the water supply network hydraulic model, that is, dynamically display the comprehensive water quality risk level in the water supply network hydraulic model and highlight the water quality weak points.

[0075] Specifically, the comprehensive water quality risk level of the entire network can be dynamically displayed on the interface of the dispatching system. Among them, pipelines with a risk level > 1 will be highlighted as water quality weak points in the network. When clicking on a pipeline, the water quality risk level of a specific pipeline can be viewed, the water quality risk can be estimated according to the risk level of the pipeline, and a suitable flushing plan can be determined to timely reduce the risk level of the pipeline.

[0076] During daily use and management, the comprehensive water quality risk level of the entire network can be viewed first to understand the overall water quality situation of the network. If the comprehensive water quality risk level is relatively high, then view the distribution and risk level of specific risk pipelines (i.e., water quality weak points).

[0077] In this embodiment, by establishing a hydraulic model of the water supply network, the operation status of the network can be dynamically simulated, and the network status can be monitored in real time and evaluated online. By taking the pipes with extremely low flow rates in the network as the weak points of water quality in the network and quantifying the potential risks they bring to the water quality of the network, it can help water supply companies quickly identify the pipes with water quality hazards in the network, strengthen the flushing of the weak points of water quality, reduce the risk of water quality pollution events from the source, and strengthen the response measures for water quality events, which has positive significance for ensuring water supply safety, improving the water quality of users, and promoting urban economic and ecological development.

[0078] Embodiment 2

[0079] This embodiment is a specific application scenario of Embodiment 1.

[0080] First, establish a hydraulic model of the water supply network in City S, as Figure 3 shown. The total number of pipes in the water supply network of this city is 63,458, the total length of the pipes is 2,900 kilometers, and there are 3 water treatment plants.

[0081] Through the software, perform hydraulic adjustment calculations on the hydraulic model of the water supply network. The flow rate of all pipes in the network at any time can be calculated. If the maximum flow rate of a pipe in a day is less than 0.02 m / s, the cumulative number of days for calculating the risk degree of the pipe increases by one day. Then, according to the risk degree calculation formula r i = t i 2 / 225, calculate the risk degree r i of the pipe, where t i is the cumulative number of days when the daily maximum flow rate of the pipe is less than 0.02 m / s.

[0082] Then, highlight the pipes with a risk degree > 1 as the weak points of water quality in the network. The calculation results of the water quality risk degree of this network on November 11 are shown in Table 1.

[0083] Table 1: Parameter table of pipes

[0084]

[0085] After calculation, the comprehensive water quality risk degree r 管网 of the entire water supply network is = 1.05, indicating a certain water quality risk.

[0086] Finally, mark and display the calculation results of the water quality risk of the pipes in the model, as Figure 3 shown.

[0087] Embodiment 3

[0088] This embodiment is a computer-readable storage medium corresponding to the above embodiment, on which a computer program is stored. When the program is executed by a processor, it realizes each step of the method for identifying weak points in the water quality of the water supply network in the above embodiment and can achieve the same technical effects, which will not be repeated here.

[0089] In summary, the method for identifying weak points in the water quality of the water supply network and the computer-readable storage medium provided by the present invention can dynamically simulate the operation state of the pipe network and perform real-time monitoring and simulation calculations on the pipe network state by establishing a hydraulic model of the water supply network; by monitoring the flow velocity of the pipes in the pipe network and calculating the risk degree of the pipes in real time, the weak points in the water quality of the pipe network are identified in real time according to the risk degree, and the water quality risk of the entire urban water supply network is evaluated and displayed in real time. The present invention overcomes the limitation of the traditional method of only evaluating the current water quality state of the pipe network through static indicators, can judge the comprehensive water quality risk of the city in real time and quantitatively, identify the areas prone to risks, and can take preventive measures against the weak points in the water quality of the pipe network in time, thereby greatly reducing the risk of water quality incidents.

[0090] The above are only the embodiments of the present invention, and do not limit the patent scope of the present invention accordingly. Any equivalent transformation made by using the content of the specification and drawings of the present invention, or directly or indirectly applied in the relevant technical fields, shall be equally included in the patent protection scope of the present invention.

Claims

1. A method for identifying weak points in the water quality of a water supply network, characterized in that, it includes: Establish a hydraulic model of the water supply network; Through hydraulic adjustment calculation, obtain the flow velocity of each pipeline in the hydraulic model of the water supply network at each moment, and calculate the risk degree of each pipeline according to the preset unit time period and the flow velocity of each pipeline; Determine the weak points in water quality according to the risk degree of each pipeline and the preset risk degree threshold; The specific calculation of the risk degree of each pipeline according to the preset unit time period and the flow velocity of each pipeline is: According to the preset unit time period, judge whether the maximum flow velocity of a pipeline in the current unit time period is less than the preset flow velocity threshold; If so, increment the cumulative unit time period number of the pipeline by one, and the initial value of the cumulative unit time period number is zero; If not, judge whether the pipeline meets the preset clearing conditions, and the clearing conditions include that the pipeline is flushed in the current unit time period, the water flow direction of the pipeline changes in the current unit time period, and the maximum flow velocity in each unit time period of a continuous preset number of unit time periods is greater than or equal to at least one of the preset flow velocity thresholds; If not satisfied, let the cumulative unit time period number of the pipeline be incremented by zero; If satisfied, reset the cumulative unit time period number of the pipeline to zero; Calculate the risk degree of the said pipeline according to the risk degree calculation formula, and the risk degree calculation formula is r = t 2 / T 2 , where r is the risk degree of the said pipeline, t is the cumulative number of unit time periods of the said pipeline, and T is the preset number of unit time periods.

2. The method for identifying weak points in the water quality of a water supply network according to claim 1, characterized in that, The preset flow velocity threshold is 0.02 m / s.

3. The method for identifying weak points in the water quality of a water supply network according to claim 1, characterized in that, The preset unit time period is one day; the preset number is 10; T = 15.

4. The method for identifying weak points in the water quality of a water supply network according to claim 1, characterized in that, The specific determination of the weak points in water quality according to the risk degree of each pipeline and the preset risk degree threshold is: If the risk degree of a pipeline is greater than the preset risk degree threshold, then regard the pipeline as a weak point in water quality.

5. The method for identifying weak points in the water quality of a water supply network according to claim 1, characterized in that, After calculating the risk degree of each pipeline according to the preset unit time period and the flow velocity of each pipeline, it further includes: Calculate the comprehensive water quality risk degree of the water supply network according to the risk degree of each pipeline.

6. The method for identifying weak points in the water quality of a water supply network according to claim 5, characterized in that, The specific calculation of the comprehensive water quality risk degree of the water supply network according to the risk degree of each pipeline is: Calculate the comprehensive water quality risk degree of the water supply network according to the comprehensive water quality risk degree calculation formula, and the comprehensive water quality risk degree calculation formula is ， Among them, r 管网 is the comprehensive water quality risk of the water supply network, n is the total number of pipes in the water supply network hydraulic model, r i is the risk degree of the i-th pipe in the water supply network hydraulic model, R i is the radius of the i-th pipe, L i is the length of the i-th pipe.

7. The method for identifying weak points in the water quality of a water supply network according to claim 5 or 6, characterized in that, After determining the weak points in water quality according to the risk degree of each pipeline and the preset risk degree threshold, it further includes: Dynamically display the comprehensive water quality risk degree in the hydraulic model of the water supply network and highlight the weak points in water quality.

8. A computer-readable storage medium, on which a computer program is stored, characterized in that, When the program is executed by a processor, it implements the method according to any one of claims 1-7.

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