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An early warning method for abnormal working conditions of water supply pipe network

A technology for water supply network and abnormal working conditions, which is applied in general water supply conservation, forecasting, data processing applications, etc. It can solve the problems of ineffectively distinguishing the small water quality data of non-polluted backgrounds and the low accuracy of water quality early warning technology, and achieves the goal of reducing The effect of false positive rate and false positive rate, short detection time and simple operation

Active Publication Date: 2021-05-28
TSINGHUA UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the existing methods applied to the monitoring of sudden water pollution incidents all have certain deficiencies. They cannot effectively distinguish the characteristics of minor abnormal changes in water quality data during non-pollution background, noise interference, and pollution events, which makes the accuracy of water quality early warning technology low. high

Method used

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  • An early warning method for abnormal working conditions of water supply pipe network
  • An early warning method for abnormal working conditions of water supply pipe network
  • An early warning method for abnormal working conditions of water supply pipe network

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Embodiment 1

[0073] Reclaimed water for non-drinking purposes enters the water supply network and is distributed to users, which will threaten the health and safety of users. Therefore, in this embodiment, the detection and early warning of sudden reclaimed water pollution in the water supply pipe network will be carried out, and the specific implementation methods are as follows.

[0074] figure 1 It is the flow chart of Embodiment 1 of the present disclosure.

[0075] The early warning method for abnormal working conditions of the water supply pipe network in this embodiment mainly includes: water quality sensor layout, data collection and transmission, data preprocessing, data feature extraction, model building and testing, abnormal working condition screening and early warning.

[0076] 1. Water quality sensor layout

[0077] In order to be able to detect and identify sudden pollution events in the water supply network in real time, it is first necessary to deploy water quality senso...

Embodiment 2

[0122] In order to be able to detect and identify sudden pollution events of the water supply network in real time, taking the sudden acid wastewater pollution event of the water supply network as an example in this embodiment, it is first necessary to deploy water quality sensors in the water supply network.

[0123] 1. Water quality sensor layout

[0124] Such as Image 6 As shown, in this embodiment, multiple water quality sensors are arranged at multiple monitoring points, and the monitoring indicators include pH, turbidity, temperature, conductivity, ORP, residual chlorine and COD.

[0125] 2. Data collection and transmission

[0126] In this embodiment, the time interval of the water quality monitoring data collected by the water quality sensor is 1 minute, and the collected data is transmitted to the computer in the data center for analysis and processing.

[0127] 3. Data preprocessing

[0128] The cumulative sum (CUSUM) control chart is used to preprocess the acqui...

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Abstract

The present disclosure provides an early warning method for abnormal working conditions of a water supply pipe network, comprising the following steps: collecting water quality parameter data; performing data preprocessing on the collected water quality parameter data; performing data feature extraction on the preprocessed data to construct a feature vector; The model is trained by using the feature vector, and the model is optimized; the optimized model is used to determine the abnormal working condition of the water supply pipe network, and the early warning of the abnormal working condition of the water supply pipe network is completed. The present disclosure utilizes the correlation between multiple water quality indicators to amplify the small abnormal change characteristics of a single water quality indicator, and can quickly detect pollution after a pollution incident occurs, reduce accident hazards, and ensure users' health and safety, thereby improving the accuracy and safety of pollution early warning. reliability.

Description

technical field [0001] The disclosure belongs to the technical field of municipal engineering water treatment, and specifically relates to an early warning of sudden water pollution of a water supply pipe network, in particular to a method for early warning of abnormal working conditions of a water supply pipe network. Background technique [0002] Under the influence of factors such as per capita water resource shortage, severe water pollution, and accelerated urbanization, the pressure on my country's urban water demand is increasing. According to incomplete statistics, in recent years, nearly 2,000 environmental pollution incidents have occurred in my country every year, with direct economic losses of hundreds of millions of yuan. After a sudden pollution accident occurs, the pollution can be quickly discovered and the emergency plan can be used to minimize the impact of the sudden pollution accident. [0003] The non-automatic detection methods of sudden water pollution...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/06G01D21/02
CPCG01D21/02G06Q10/04G06Q50/06Y02A20/152
Inventor 刘书明吴雪
Owner TSINGHUA UNIV