Based on the in-depth analysis of the causes of the large-scale water supply pipe network explosion at home and abroad, the paper discusses the neural network modeling technology for quickly and accurately locating the water pipe network. Furthermore, the remedial measures of the pipe network squib in the field were adopted, and the BP neural network deep learning method was proposed to carry out the intelligent positioning of the water pipe network bursting. Based on the construction of a miniature hydraulic model based on BP neural network analysis, through the correlation analysis of the flow change of 5 positions and the pressure monitoring point change of 17 positions when the pipe network bursts, the artificial neural network deep lea...
Includes bibliographical references (pages 56-56)Modern cities can no longer tolerate insufficiencie...
This paper explores the use of deep learning for leak localization in Water Distribution Networks (W...
With the advent of the 4th Industrial Revolution, advanced measurement infrastructure and utilizatio...
Based on the in-depth analysis of the causes of the large-scale water supply pipe network explosion ...
Multi-regional waterworks are large-scale facilities for supplying tap water to the public and indus...
This paper proposes a practical method for rapid and accurate detection of pipe burst segment. By us...
To overcome the challenges brought about by abnormal weather and the growing industrial water consum...
Nowadays water loss has been turned into a global concern and on the other hand the demand for water...
Pressure sensor placement is critical to system safety and operation optimization of water supply ne...
In recent years, the water supply task of urban water supply pipe network is more and more heavy, an...
The research work presented in this thesis describes the development and testing of a new data analy...
To detect pipes leakages over space and time of the water distribution in L-TOWN, this research stud...
In a deep learning model, the effect of the model may vary depending on the setting of the hyperpara...
Water distribution networks are often susceptible to pipeline leaks caused by mechanical damages, na...
In the article the neural networks used for failures loca-tion for water supply networks are present...
Includes bibliographical references (pages 56-56)Modern cities can no longer tolerate insufficiencie...
This paper explores the use of deep learning for leak localization in Water Distribution Networks (W...
With the advent of the 4th Industrial Revolution, advanced measurement infrastructure and utilizatio...
Based on the in-depth analysis of the causes of the large-scale water supply pipe network explosion ...
Multi-regional waterworks are large-scale facilities for supplying tap water to the public and indus...
This paper proposes a practical method for rapid and accurate detection of pipe burst segment. By us...
To overcome the challenges brought about by abnormal weather and the growing industrial water consum...
Nowadays water loss has been turned into a global concern and on the other hand the demand for water...
Pressure sensor placement is critical to system safety and operation optimization of water supply ne...
In recent years, the water supply task of urban water supply pipe network is more and more heavy, an...
The research work presented in this thesis describes the development and testing of a new data analy...
To detect pipes leakages over space and time of the water distribution in L-TOWN, this research stud...
In a deep learning model, the effect of the model may vary depending on the setting of the hyperpara...
Water distribution networks are often susceptible to pipeline leaks caused by mechanical damages, na...
In the article the neural networks used for failures loca-tion for water supply networks are present...
Includes bibliographical references (pages 56-56)Modern cities can no longer tolerate insufficiencie...
This paper explores the use of deep learning for leak localization in Water Distribution Networks (W...
With the advent of the 4th Industrial Revolution, advanced measurement infrastructure and utilizatio...