阅读说明：本技术 一种基于多区域联合评估的供水管网漏损监测方法 (Water supply network leakage monitoring method based on multi-region joint evaluation ) 是由 戎科臻 荣泽坤 付明磊 王海英 郑乐进 郑剑锋 吴德 于 2021-09-14 设计创作，主要内容包括：一种基于多区域联合评估的供水管网漏损监测方法,包括以下步骤：步骤1：对于待监测供水管网,将其划分为n个独立计量区域,并在每个区域的进出口管道安装物联网流量计；步骤2：统计进水管道流量计数量与出水管道流量计数量,采集在t时刻各个进口流量数据与出口流量数据；步骤3：计算在t时刻的耗水量；步骤4：根据在t时刻与t-1时刻的耗水量计算在t时刻的异常度；步骤5：根据在t时刻的异常度以及与相邻的m个独立计量区域t时刻异常度计算在t时刻的联合异常度；步骤6：当在t时刻的联合异常度大于报警阈值时发出警报。本发明实现基于多区域联合评估的高精度实时供水管网漏损监测,及时对异常管网进行修复,减少供水管网漏损率。(A water supply pipe network leakage monitoring method based on multi-region joint evaluation comprises the following steps: step 1: dividing a water supply network to be monitored into n independent metering areas, and installing an internet of things flowmeter at an inlet pipeline and an outlet pipeline of each area; step 2: counting the number of water inlet pipeline flow meters and the number of water outlet pipeline flow meters, and collecting each inlet flow data and outlet flow data at the moment t; and step 3: calculating the water consumption at the time t; and 4, step 4: calculating the abnormal degree at the time t according to the water consumption at the time t and the water consumption at the time t-1; and 5: calculating a joint abnormality degree at the time t according to the abnormality degree at the time t and the abnormality degrees at the time t of the m adjacent independent metering areas; step 6: an alarm is raised when the joint anomaly at time t is greater than an alarm threshold. The method and the device realize high-precision real-time water supply network leakage monitoring based on multi-region joint evaluation, repair abnormal pipe networks in time and reduce the leakage rate of the water supply network.)

1. A water supply network leakage monitoring method based on multi-region joint evaluation is characterized by comprising the following steps:

step 1: for a water supply network to be monitored, the water supply network is divided into n independent metering areas DMA₁,DMA₂,…,DMA_nAn Internet of things flow meter is arranged on an inlet pipeline and an outlet pipeline of each area;

step 2: statistical DMA_iThe number NI of the flow meters of the water inlet pipeline_iThe amount NO of the flow meter of the water outlet pipeline_iAcquisition DMA_iAt time t, each inlet flow dataAnd outlet flow data

And step 3: according to DMA_iInlet flow data at time tAnd outlet flow dataCalculating its water consumption at time t

And 4, step 4: according to DMA_iWater consumption at time tWater consumption at time t-1Calculating the abnormal degree of the target object at the time t

And 5: according to DMA_iDegree of abnormality at time tAnd DMA_iT-time abnormality degree of m adjacent independent metering areasComputing DMA_iJoint degree of abnormality at time t

Step 6: when DMA_iJoint degree of abnormality at time tAnd when the value is larger than the threshold value V, an alarm is given out, so that the real-time monitoring of the water supply network is realized.

2. The method for monitoring the leakage of the water supply pipe network based on the multi-region joint evaluation as claimed in claim 1, wherein in the step 3, the DMA is collected through the data remote transmission communication mode_iAt time t, each inlet flow dataAnd outlet flow data

3. The method as claimed in claim 1, wherein in step 6, the alarm threshold is a constant greater than 1.

Technical Field

The invention relates to the field of municipal engineering and urban water supply networks, in particular to a water supply network leakage monitoring method based on multi-region joint evaluation.

Background

The water supply network is used for transporting water resources for water-requiring facilities in cities, the leakage rate of the water supply network is the most important factor influencing the daily operation of the water supply network, and the leakage rate of the water supply network is generally highly related to the development level of the cities, the operation age of the pipe network, the daily maintenance condition and the like. The independent metering and zoning leakage detection is the most common water supply network leakage identification technology at present, the water supply network is divided into a plurality of independent metering areas, flowmeters are arranged at the inlet and outlet boundaries of the areas to monitor the water consumption in the areas, and abnormal water consumption signals caused by the leakage of the water supply network are identified. However, because the water consumption signal fluctuates greatly and the noise is complex, the conventional abnormal identification method is difficult to accurately identify the abnormal fluctuation in the water consumption signal of the water supply network, and how to identify the abnormal fluctuation in the water consumption signal of the water supply network becomes one of the key problems to be solved urgently in the industry.

In the prior art, methods related to leakage monitoring of a water supply network are limited, a chinese invention patent CN202010095660.8 discloses an automatic identification and positioning method for leakage of the water supply network, a chinese invention patent CN201810393876.5 discloses a method and a device for positioning leakage of the water supply network, a chinese invention patent CN201910458598.1 discloses a method for monitoring and early warning leakage of the water supply network based on time series analysis, a chinese invention patent CN201910320000.21 discloses a method for monitoring leakage of a town water supply system based on dynamic DMA partitioning, a chinese invention patent CN201910320000.21 discloses an automatic identification and positioning method for leakage of the water supply network, a chinese invention patent CN202110178778.1 discloses a method for detecting leakage of a pipe network in an independent metering area based on a double-layer circulation neural network, a chinese invention patent CN202110180597.2 discloses a method for detecting leakage of a pipe network in an independent metering area based on mode detection, and the like. However, the above method has three problems: firstly, the water consumption monitoring based on a single time point cannot realize accurate abnormity identification; secondly, the water consumption monitoring based on continuous time periods cannot realize real-time abnormal recognition; third, the identification of abnormal water consumption does not take into account the interplay of spatial multi-zones.

Disclosure of Invention

In order to overcome the defects of the prior art, the invention provides a water supply network leakage monitoring method based on multi-region joint evaluation, which aims to solve the problem of misalignment and loss caused by monitoring the leakage of the water supply network based on a single time point or time period in the prior art, and realize high-precision real-time water supply network leakage monitoring based on the multi-region joint evaluation, thereby repairing abnormal pipe networks in time and reducing the leakage rate of the water supply network.

In order to achieve the purpose, the invention adopts the following technical scheme:

a water supply pipe network leakage monitoring method based on multi-region joint evaluation comprises the following steps:

step 1: for a water supply network to be monitored, the water supply network is divided into n independent metering areas DMA₁,DMA₂,…,DMA_nAn Internet of things flow meter is arranged on an inlet pipeline and an outlet pipeline of each area;

step 2: statistical DMA_iThe number NI of the flow meters of the water inlet pipeline_iThe amount NO of the flow meter of the water outlet pipeline_iAcquisition DMA_iAt time t, each inlet flow dataAnd outlet flow data

And step 3: according to DMA_iInlet flow data at time tAnd outlet flow dataComputingIts water consumption at time t

And 4, step 4: according to DMA_iWater consumption at time tWater consumption at time t-1Calculating the abnormal degree of the target object at the time t

And 5: according to DMA_iDegree of abnormality at time tAnd DMA_iT-time abnormality degree of m adjacent independent metering areasComputing DMA_iJoint degree of abnormality at time t

Step 6: when DMA_iJoint degree of abnormality at time tAnd when the alarm value is larger than the alarm threshold value V, an alarm is given out, so that the real-time monitoring of the water supply network is realized.

Further, in step 3, the DMA is acquired by means of data remote transmission communication_iAt time t, each inlet flow dataAnd outlet flow data

Still further, the alarm threshold is a constant greater than 1, for example, 1.1, and is preset according to circumstances.

The invention has the following beneficial effects: and judging the possibility of leakage according to the water consumption change before and after the independent metering area and the water consumption change degree of the surrounding area, and giving an alarm to the area where the leakage is judged, so that managers can identify the leakage of the water supply network and overhaul the water supply network in time. The method for judging the leakage possibility of the water supply network by utilizing multi-region joint evaluation has great reference value for detecting the leakage of the water supply network.

Drawings

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

fig. 2 is a schematic sectional view of a water supply network in city a according to an embodiment of the present invention.

Detailed Description

The invention is further described below with reference to the accompanying drawings.

Referring to fig. 1 and 2, a water supply network leakage monitoring method based on multi-region joint evaluation comprises the following steps:

step 1: dividing a pipe network and installing a meter;

for the water supply network of A city, the total number of 388 water demand nodes contained in the network is about 15000, and the network is divided into 5 independent metering areas DMA₁,DMA₂,…,DMA₅And installing an internet of things flowmeter in an inlet and outlet pipeline of each area.

Step 2: counting the flow of the boundary pipe network;

the statistics of the number NI of the water inlet pipe flow meters and the number NO of the water outlet pipe flow meters of each DMA are shown in table 1, and the table 1 is a meter for the number of the inlet and outlet flow meters of the independent metering area of the water supply network in city A.

TABLE 1

DMA acquisition through data remote transmission communication mode_iAt time t, each inlet flow dataAnd outlet flow dataDMA in water supply network of city A₁The inlet/outlet flow data at 12:00 on 8/1/2021 are shown in table 2. TABLE 2 DMA₁Import and export flow data table.

TABLE 2

And step 3: calculating regional water consumption;

according to DMA_iInlet flow data at time tAnd outlet flow dataCalculating its water consumption at time tDMA in water supply network of city A₁In 2021, 8/1/12: 00 import/export flow data as an example, the regional water consumption at this time is 9.81L.

And 4, step 4: calculating the abnormal degree of water consumption;

according to DMA_iWater consumption at time tWater consumption at time t-1Calculating the abnormal degree of the target object at the time tDMA in water supply network of city A₁In the water consumption of 12:00 on 8/1/2021, the water consumption in this time zone was 9.81L, and the water consumption in the previous time zone (11: 55 on 8/1/2021) was 9.73L, so that the abnormality degree a in this time zone was 0.0082.

And 5: calculating the water consumption joint abnormality degree;

according to DMA_iDegree of abnormality at time tAnd DMA_iT-time abnormality degree of m adjacent independent metering areasComputing DMA_iJoint degree of abnormality at time tDMA in water supply network of city A₁In 8/1/12: 00 of 2021, the water consumption abnormality degree a in this time zone is 0.0082, and the adjacent independent metering zone DMA is₂、DMA₄The degree of abnormality of water consumption was 0.0079 and 0.0083, respectively, from which DMA was calculated₁The degree of joint abnormality U of 12:00 on 8/1/2021 is 1.0082.

Step 6: joint anomaly monitoring;

when DMA_iJoint degree of abnormality at time tAnd when the alarm value is larger than the alarm threshold value V, an alarm is given out, so that the real-time monitoring of the water supply network is realized. DMA in water supply network of city A₁The degree of abnormality of water consumption combination was 12:00 on 8/1/2021, and the degree of abnormality of water consumption combination was 1.0082 in this time zone. Setting an alarm threshold value V to be 1.1, and combining the water consumption with the abnormality degree U in the area at the moment<V, therefore, it is determined that the water consumption in this time zone is normal, and no alarm is issued.

The embodiments described in this specification are merely illustrative of implementations of the inventive concepts, which are intended for purposes of illustration only. The scope of the present invention should not be construed as being limited to the particular forms set forth in the examples, but rather as being defined by the claims and the equivalents thereof which can occur to those skilled in the art upon consideration of the present inventive concept.