HIRFL-CSR Water Leakage Detection System Design and Research

2013 ◽  
Vol 312 ◽  
pp. 588-592 ◽  
Author(s):  
Yun Jie Li ◽  
Yan Yu Wang ◽  
De Tai Zhou ◽  
Jia Yin ◽  
Wen Xiong Zhou ◽  
...  

HIRFL system is the most advanced Heavy Ion Research Facility in world; to protect its safe operation is the major responsibility of the Institute of Modern Physics, Chinese Academy of Sciences. To process the situation of possible water leakage during the operation of equipments, we developed a water leakage detection system. The system can precisely detect the specific location of water leakage, and visually display on the computer in the control room remotely. The paper describes the theoretical design and practical, and assesses the effect of the field running. It has been successful early warning repeatedly water leaking avoid accidents, ensure the normal operation of the machine, since the system established in 2010.

2014 ◽  
Vol 494-495 ◽  
pp. 849-852 ◽  
Author(s):  
Yun Jie Li ◽  
Yan Yu Wang ◽  
De Tai Zhou ◽  
Jia Yin ◽  
Jian Jun Su ◽  
...  

The HIRFL system is the most advanced heavy ion research equipment in China. Every year, we use it to do a lot of important scientific experiments, so it is very important to ensure it safe operation, which is the responsibility Institute of Modern Physics Chinese Academy of sciences. In the HIRFL system, many of the magnet and power need water for cooling, so the water system plays an important role. This paper designs a water pressure monitoring system in order to guarantee the normal operation of the water system and provide chain protection. It can monitor the water pressure throughout to the HIRFL system in time, and intuitive computer display in the control room. This paper gives the theory design, and the concrete practice, and evaluates the effect after the field operation.


Author(s):  
Juma S. Tina ◽  
Beatrica B. Kateule ◽  
Godfrey W. Luwemba

Clean water is a scarce resource for the human life and is subject to wastage due to leakage of the distribution pipes in large cities.  Water pipe leakage is a big problem around the world of which most of the water distribution authorities faces difficulties to detect the location of the fault. This problem of leakage can be caused by several factors such as breakage of the pipelines due to aging or ongoing constructions in urban cities like Dar es salaam, consequently due to that case, the distribution authorities face hardship to identify the cause and enable them to take action.  Therefore, the aim of this project was to develop an IoT-based system for water leakage detection. The prototype was developed comprising two sensors embedded at the source and destination points to measure the flow rate of water.  The result indicated that the volume of water generated at the start point can be compared with the other end to determine if there is any leakage. A greater focus on distance calculation could produce interesting findings that account for more research on IoT monitoring systems.


2017 ◽  
Vol 12 (3) ◽  
pp. 557-568 ◽  
Author(s):  
Shigeru Teruhi ◽  
◽  
Yo Yamaguchi ◽  
Junichi Akahani ◽  

Expectations have been raised for a social infrastructure maintenance system that utilizes IoT/M2M technology. We are working to develop a water leakage detection system using wireless sensors set into the water pipes. However, radio propagation is restricted in the constrained underground environment of water pipes so how to collect the data and identify leaks is an issue. We propose a system that combines drive-by data collection and static data collection, in order to collect acoustic sensor data from a wide area effectively [1]. We also propose a random noise removal method by focusing on the constancy of the leak sound, in order to identify leaks accurately. We show the results of evaluating the effectiveness of the proposed system in tests and real fields.


Water ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 2966
Author(s):  
Wee Kee Phua ◽  
Sarbudeen Mohamed Rabeek ◽  
Beibei Han ◽  
Edwin Njihof ◽  
Tyler Tianlu Huang ◽  
...  

There is an urgent need for industrial Internet of things (IoT) solutions to deploy a smart hydrophone sensor grid to monitor pipeline health and to provide an accurate prediction in the event of any leakage. One solution is to develop an IoT water leakage detection system consisting of an interface to capture acoustic signals from aluminum nitride (AlN)-based micro-machined infrasonic hydrophone sensors that are fed as inputs and predict an approximate leak location as a form of output. Micro-electro-mechanical systems (MEMS) are particularly useful for IoT applications with low power consumption and small device footprint. Data analytics including characterization, pre/post processing are applied to determine the leaks. In this work, we have developed the process flow and algorithm to detect pipe leakage occurrence and pinpoint the location accurately. Our approach can be implemented to detect leaks for different pipe lengths, diameters and materials.


Author(s):  
Chao Wang ◽  
Weiping Dou ◽  
Zhijun Wang ◽  
Yue Tao ◽  
Weilong Chen ◽  
...  

The high-intensity heavy ion accelerator facility is a next-generation advanced heavy-ion accelerator facility built by the Institute of Modern Physics, Chinese Academy of Sciences. The RFQ is designed to provide a continuous wave beam and 2[Formula: see text]mA pulse beam with high-quality longitudinal beam distribution for the injection linear accelerator. Two different designs of aiming to suppress the longitudinal emittance were studied, and the optimized scheme which composed of a three-harmonic pre-buncher and an RFQ accelerator with small longitudinal acceptance was chosen. More emphasis is put on the section between pre-buncher and RFQ, where the space charge effect becomes severe with bunched beam. The optimal design and the analysis are presented in this paper.


Author(s):  
Lucas Nunes Monteiro ◽  
Felipe Crispim da Rocha Salvagnini ◽  
Edinei Peres Legaspe ◽  
Sidney José Montebeller ◽  
Andréa Lucia Braga Vieira Rodrigues ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document