1. A method for judging newly added leakage of a water supply network in a less developed area and estimating the leakage rate of the newly added leakage is characterized by comprising the following steps of:

s1, selecting a research area DMA, arranging boundary valves on all water supply pipelines crossing adjacent areas according to the arrangement condition of a water supply network of the research area DMA so as to isolate the water supply pipeline of the research area DMA from other surrounding areas, ensuring the water supply pipeline of the research area DMA to be closed, and installing a flowmeter on a water supply port of a main water supply pipeline of the research area DMA;

s2, selecting water supply flow monitored by a flowmeter in 1 month in a corresponding season in a season database of the water supply flow as monitoring data, calculating a mean value of daily water consumption of residents according to the daily water supply flowmeter of the research area DMA, performing function fitting on the mean value curve to obtain a fitting function f (x), drawing a mean value curve of the water supply flow-time, and making a boundary curve of the mean value of the daily water consumption of the residents;

s3, continuously acquiring the water supply flow of the flowmeter in the area, comparing the water supply flow with the boundary range in the step S2, and if the continuously acquired water supply flow exceeds the boundary range, indicating that the leakage condition of the newly added pipeline occurs in the DMA of the research area and the repair needs to be arranged in time; if the continuously acquired water supply flow fluctuates in the boundary range, the condition that no newly added pipeline is lost in the DMA of the research area is indicated, and the continuously acquired water supply flow is stored in the season database of the corresponding season;

s4, selecting the night water consumption of 1 month in the season in the step S2, selecting the minimum value of the night water consumption in 1 month as a leakage flow, integrating the fitting function f (x) in the step S2, and calculating the leakage rate l of the water supply pipeline by the following formula:

wherein A is the minimum value of the water consumption at night within 1 month.

2. The estimation method according to claim 1, characterized in that: after the step S4 is completed, the estimation method further includes:

s5, continuously collecting the water supply flow of the flowmeter, continuously updating the seasonal database, and updating the mean value curve and the fitting function of the daily water of the residents in the step S2 to obtain f_new(x) And implementing real-time correction on the pipeline leakage rate l in the step S4.

3. The estimation method according to claim 2, characterized in that: the boundary curve in the step S2 has plus or minus 3 times the standard deviation of the resident daily water average curve as the boundary range.

4. The estimation method according to claim 3, characterized in that: in step S2, the number of days of the continuously collected water supply flow rate is at least 5 days.

Background

Water resources in the 21 st century are becoming a precious and scarce resource, and the water resource problem is not only a resource problem, but also a great strategic problem related to national economy, social sustainable development and long-term security. With the rapid development of economy, the population is growing, cities are increasing and expanding, the water consumption of all places is increasing, and a water supply network is used as an important infrastructure of a city water supply system and is often referred to as the blood vessels of the cities. However, with the continuous enlargement of the scale of the water supply network in cities and towns, the increase of the pipe age and the increasing of the supply of water for residents, the leakage phenomenon of the water supply network is frequent, the leakage not only can cause the waste of water resources, but also can increase the water production cost of enterprises, and easily causes the secondary pollution of water sources, threatens the health of people and influences the quality of life. Therefore, how to effectively control the leakage of the water supply network has become an important research topic in the water supply industry.

In recent years, many studies at home and abroad on the leakage control research of urban water supply pipelines mainly focus on the research of leakage prediction models and leakage monitoring. Among them, Gupta R et al propose a leakage control method that takes into account the pipe length and node requirements. Gao J and the like establish a leakage control model of a node flow hydraulic model driven by embedded pressure for realizing effective control of network leakage. Mahdavi et al established an optimized model for pressure management by optimizing the pressure reduction values and validated with a region of iran as an example. Giustolisi and the like integrate a traditional hydraulic model, water pressure demand and leakage of pipelines of different levels, and a stable pipeline leakage control model is established. Araujo et al can optimize the number of valves and their positions according to the water supply pressure to minimize the piping leakage level. The main theories of domestic research on the leakage prediction model of the water supply pipeline are methods of pair analysis, a differential autoregressive moving average model, a support vector machine model, a neural network model and the like, and the leakage time and nodes of the water supply pipeline are predicted. In the aspect of leakage monitoring, how faithful and the like, a pressure monitoring point arrangement method based on a water supply network partition model is provided, and the pressure distribution condition of the urban water supply network can be effectively mastered. The land mercy intensity and the like research the arrangement method of the pressure monitoring points of the water supply network based on the nonlinear mapping theory, and the intuitive degree and the visualized level of the node pressure analysis are improved. Liu Shuming and the like research a multi-target large-scale monitoring point optimization scheme, and can effectively eliminate the influence of human factors and improve the effects of monitoring water leakage, pipe explosion and energy consumption of a pipe network.

However, at present, research on a prediction model and field monitoring for water supply network leakage needs to be established on the basis of a large amount of complete monitoring data, which puts a very high requirement on automatic data acquisition and transmission of a water supply system, but is limited by capital pressure in developing countries and even underdeveloped areas, obviously, the intelligent degree of the current water supply system still far fails to meet the automatic data acquisition and transmission requirement, especially, a mode of manually reading water meter data of a user by going to the door is needed to obtain water consumption of residents, a large number of workers need to start to copy water meters from home to home, and the problems of omission, untimely reading, inaccuracy and the like are inevitable, and the workload is too large and the universality is not achieved.

Therefore, it is necessary to design a method that can compensate for the problems of low intellectualization degree and low non-profit water management level of the water supply system in the underdeveloped area, and provide a low-cost, efficient and rapid analysis method.

Disclosure of Invention

The invention aims to provide a method for judging newly added leakage of a water supply network and estimating the leakage rate of the newly added leakage, which is suitable for a water supply network in a less developed area, has the advantages of high efficiency and quickness in analysis and low measurement cost.

The technical scheme of the invention is as follows:

a method for judging newly added leakage of a water supply network in a less developed area and estimating the leakage rate of the newly added leakage comprises the following steps:

s1, selecting a research area DMA, arranging boundary valves on all water supply pipelines crossing adjacent areas according to the arrangement condition of a water supply network of the research area DMA so as to isolate the water supply pipeline of the research area DMA from other surrounding areas, ensuring the water supply pipeline of the research area DMA to be closed, and installing a flowmeter on a water supply port of a main water supply pipeline of the research area DMA;

s2, selecting water supply flow monitored by a flowmeter in 1 month in a corresponding season in a season database of the water supply flow as monitoring data, calculating a mean value of daily water consumption of residents according to the daily water supply flowmeter of the research area DMA, performing function fitting on the mean value curve to obtain a fitting function f (x), drawing a mean value curve of the water supply flow-time, and making a boundary curve of the mean value of the daily water consumption of the residents;

s3, continuously acquiring the water supply flow of the flowmeter in the area, comparing the water supply flow with the boundary range in the step S2, and if the continuously acquired water supply flow exceeds the boundary range, indicating that the leakage condition of the newly added pipeline occurs in the DMA of the research area and the repair needs to be arranged in time; if the continuously acquired water supply flow fluctuates in the boundary range, the condition that no newly added pipeline is lost in the DMA of the research area is indicated, and the continuously acquired water supply flow is stored in the season database of the corresponding season;

s4, selecting the night water consumption of 1 month in the season in the step S2, selecting the minimum value of the night water consumption in 1 month as a leakage flow, integrating the fitting function f (x) in the step S2, and calculating the leakage rate l of the water supply pipeline by the following formula:

wherein A is the minimum value of the water consumption at night within 1 month.

In the above technical solution, after the estimating method completes the step S4, the method further includes: s5, continuously collecting the water supply flow of the flowmeter, continuously updating the seasonal database, and updating the mean value curve and the fitting function of the daily water of the residents in the step S2 to obtain f_new(x) And implementing real-time correction on the pipeline leakage rate l in the step S4.

In the above technical solution, the boundary curve in the step S2 has plus and minus 3 times standard deviation of the average curve of domestic water as the boundary range.

In the above technical solution, in the step S2, the number of days of the continuously collected water supply flow is at least 5 days.

The invention has the advantages and positive effects that:

1. the method is simple and efficient, high in accuracy, wide in engineering application prospect and remarkable in social and economic benefits.

2. By adopting the estimation method, the water meter data of the user does not need to be read, the workload is effectively reduced, the error of data acquisition is reduced, and the accuracy of measuring the leakage rate is high.

Drawings

FIG. 1 is a flow chart of the estimation method of the present invention;

FIG. 2 is a schematic view of a boundary valve of a water supply area and a flowmeter of a main water supply pipeline in example 1;

FIG. 3 is a graph of the flow rate of supplied water versus time in example 1;

FIG. 4 is a graph of fitted curves of residential water usage and boundary ranges in example 1;

fig. 5 is a graph showing a leak judgment in example 1.

Detailed Description

The present invention will be described in further detail with reference to specific examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the scope of the invention in any way.

Example 1

As shown in the figure, the method for judging the newly added leakage of the water supply network in the underdeveloped area and estimating the leakage rate of the newly added leakage comprises the following steps of:

s1, selecting a research area DMA, arranging boundary valves on all water supply pipelines crossing adjacent areas according to the arrangement condition of a water supply network of the research area DMA so as to isolate the water supply pipeline of the research area DMA from other surrounding areas, ensuring the water supply pipeline of the research area DMA to be closed, and installing a flowmeter on a water supply port of a main water supply pipeline of the research area DMA;

s2, selecting water supply flow monitored by a flowmeter in 1 month in a corresponding season as monitoring data in a season database of the water supply flow, calculating a mean value of daily water consumption of residents according to the daily water supply flowmeter of the research area DMA, performing function fitting on the mean value curve to obtain a fitting function f (x), drawing a mean value curve (shown in figure 3) of the water supply flow and time, and taking a standard deviation which is plus or minus 3 times of the mean value curve of the daily water consumption of the residents as a boundary range (shown in figure 4);

s3, continuously acquiring the water supply flow of the flowmeter in the area for 5 days, comparing the water supply flow with the boundary range in the step S2, and if the water supply flow continuously acquired for 5 days exceeds the boundary range, indicating that the leakage condition of the newly added pipeline occurs in the DMA of the research area and needing to arrange repair in time; if the water supply flow continuously collected for 5 days fluctuates in the boundary range, the condition that no newly added pipeline is lost in the DMA of the research area is indicated, and the continuously collected water supply flow is stored in the season database of the corresponding season;

s4, selecting the night water consumption of 1 month in the season in the step S2, selecting the minimum value of the night water consumption in 1 month as a leakage flow, integrating the fitting function f (x) in the step S2, and calculating the leakage rate l of the water supply pipeline by the following formula:

wherein A is the minimum value of the water consumption at night within 1 month;

s5, continuously collecting the water supply flow of the flowmeter, continuously updating the seasonal database, and updating the mean value curve and the fitting function of the daily water of the residents in the step S2 to obtain f_new(x) And the pipeline leakage rate l of the step S4 is corrected in real time, so that the leakage rate l is continuously updated and corrected.

Spatially relative terms, such as "upper," "lower," "left," "right," and the like, may be used in the embodiments for ease of description to describe one element or feature's relationship to another element or feature as illustrated in the figures. It will be understood that the spatial terms are intended to encompass different orientations of the device in use or operation in addition to the orientation depicted in the figures. For example, if the device in the figures is turned over, elements described as "below" other elements or features would then be oriented "above" the other elements or features. Thus, the exemplary term "lower" can encompass both an upper and a lower orientation. The device may be otherwise oriented (rotated 90 degrees or at other orientations) and the spatially relative descriptors used herein interpreted accordingly.

Moreover, relational terms such as "first" and "second," and the like, may be used solely to distinguish one element from another element having the same name, without necessarily requiring or implying any actual such relationship or order between such elements.

While one embodiment of the present invention has been described in detail, the description is only a preferred embodiment of the present invention and should not be taken as limiting the scope of the invention. All equivalent changes and modifications made within the scope of the present invention shall fall within the scope of the present invention.