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E-mail
hzshiwh@126.com
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Phone
15168443766
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Address
No. 59 Shixiang Road, Xiacheng District, Hangzhou, 15168443766
Hangzhou Maihuang Technology Co., Ltd
hzshiwh@126.com
15168443766
No. 59 Shixiang Road, Xiacheng District, Hangzhou, 15168443766
1、 System Overview
The water supply network has high water pressure. During the water supply process, due to sudden opening or closing of valves, the flow rate may suddenly change, causing significant fluctuations in pipeline pressure and resulting in water hammer effect. Water hammer has great destructive power: if the pressure is too high, it will cause the pipe to rupture, while if the pressure is too low, it will cause the pipe to collapse and damage valves and fasteners, seriously threatening the safety of the water supply system.
In order to reduce the water hammer effect and ensure the safety of the water supply system, a water hammer protection system needs to be installed. It includes a set ofWater supply pipeline leakage monitoring systemIt includes hydrophones, high-frequency pressure sensors, data acquisition and transmission equipment RTU, and software. It uses piezoelectric ceramic hydrophones arranged on pipelines to detect pipeline leakage noise. By analyzing the sound signal processing, the location and size of the leakage point are determined, and precise positioning algorithms and pattern recognition algorithms are adopted. Piezoelectric ceramic hydrophones serve as front-end sensors, providing wireless network transmission technology for pipeline automation data acquisition and seamless connection to pipeline automation data acquisition and control centers.

2、 Technical parameters
1. Hydrophone
Operating frequency range: 20Hz to 50kHz
Low frequency sensitivity: -172dB Vre: 1V/μ Pascal
水平指向性:± 2.0dB@125kHz
Working depth: 500 meters
Working temperature: -40~80 ° C
Enduring static pressure: 68Bar
Low noise, high durability, requires immersion in water
2High frequency pressure sensor
Sampling frequency: 64/128/256Hz to meet analysis requirements
Range: 0-300 psi, required to meet the monitoring of negative pressure;
Accuracy: ≤ 0.1% FS
Response time: ≤ 1ms
Voltage: 5V+/-0.5V
Output signal: 0-30/100mV
Working temperature: -40 ℃~80 ℃
Enduring static pressure: 68Bar
Material: Stainless steel isolation membrane
Protection level: IP68
3Data Collection and Transmission (RTU):
RTU is an integrated terminal module that combines power supply, data acquisition, wireless communication, and other modules for installation and on-site use. It can be selected in different shapes according to the construction situation on site. Sensor acquisition and communication interruption are equipped with built-in power conversion module, wireless communication module, and satellite signal receiving module, which can provide power to water listeners and pressure sensors, collect signals, perform preliminary signal analysis and processing, and send them to the monitoring center server through wireless network.
Analog input 6-channel can be connected to 0-5V/0-20mA/4-20mA
16 bit sampling bit can capture audio
The sampling rate can reach up to 100kHz, and wireless communication can be set up with 4G coverage for 2G/3G. It has a SIM card interface, supports fiber optic communication, comes with a set of serial port servers, and supports general Ethernet protocols such as Profinet.
Wired communication RS485 2-channel, supporting MODBUS
Automatic timing GPS/Beidou accuracy of 1pps
The built-in lithium battery can provide external power supply of 9-36V DC to meet the output voltage of the solar power supply device for at least one month after the external power supply fails. It can also be powered externally by 12VDC and automatically switched to the built-in power supply through software.
4. Monitoring software

(1) Basic system functions
System basic interface
The bottom layer of the system adopts basic geographic information layer data, and loads pipeline data, station data and other layers above the basic geographic information layer to realize the information system based on map display.
The system provides basic tools based on map operations, which can drag and zoom the map.
The system provides the function of loading pipeline data, which can be distinguished by different colors based on attributes such as pipe age, pipe material, and diameter, and displayed on the system. Click on the pipeline segment to view detailed information about the pipeline.
The system provides the function of loading valves and nodes. After loading, you can select to view detailed information of the facility.
The system provides the function of loading monitoring stations, which can be selected through a mouse or lasso tool.
Data query function
After selecting with the mouse or using the lasso tool, the system will pop up a data query window for the selected site. Through data filtering, the data type to be queried (such as pressure, sonar, equipment voltage, etc.), data date and time period, and data resolution will be selected.
The system provides a graphical data display tool that can display filtered data in the form of curves, bar charts, etc. The same data display window can overlay data of multiple data types, making it easier for analysts to combine and analyze the data.
The data graphic display tool provides tools such as curve dragging, data resolution selection, query date range selection, and graphic conversion.
(2) System alarm function
Alarm display
The system provides a fully automated alarm tool, which feeds back abnormal data events on the pipeline network to monitoring personnel in the form of alarms through a series of machine learning and data analysis. Monitoring personnel evaluate the alarm information based on the system's alarm information and the actual operation of the pipeline network, and detect and intervene in abnormal situations such as leaks, pipe bursts, and pipeline pressure transients in the shortest possible time.
The alarm types are mainly divided into the following three types, and the risk is defined as low level, medium level, and high level according to the data situation. At the same time, provide alarm analysis tools in each alarm module.
1) Pressure transient alarm: When the system determines that a pressure transient has occurred, it will compare the time and magnitude of the transient in the historical database to define the risk of the transient. If the risk exceeds the threshold, an alarm will be triggered.
2) Low frequency pressure alarm: The system evaluates the corresponding time period pressure interval based on historical data of pipeline operation pressure. When the pipeline pressure is higher or lower than this pressure interval, the pressure alarm is triggered.
Acoustic leakage alarm: The system evaluates the acoustic data and triggers the alarm when the acoustic energy data rises above the amplification threshold.
alarm analysis
Pressure transient alarm analysis: The pressure transient alarm function provides a graphical analysis tool for pressure transient data, displaying transient curve graphics, low-frequency pressure curve graphics, pressure interval curve graphics, and pressure event distribution graphics on the page. By overlaying multiple pressure transient curves, the pressure transient source can be located. The pressure time distribution graph can be divided into simultaneous outliers, critical outliers, and all outliers, and displayed in a point array on the graphical interface.
Low frequency pressure alarm analysis: The low-frequency pressure alarm function provides a graphical analysis tool for pressure transient data, displaying low-frequency pressure curves and pressure interval shadows on the page. Provide graphical tools to stack different sites and other monitoring data (such as acoustic data) for combined query analysis.
Acoustic leakage alarm analysis: The acoustic leakage alarm analysis system provides a graphical analysis tool for acoustic data to evaluate the acoustic data. Display the acoustic intensity in the form of a bar chart or curve using graphical display tools. Simultaneously providing acoustic data for comparison on different dates and at the same time, the acoustic data is presented in a graphical manner, and the acoustic characteristics are displayed through colors, curves, and graphics to achieve scientific data analysis and leakage judgment.
(3) Sonar Data Browser Function
Users can analyze the collected acoustic data of the pipeline network through the sonar data browser. The sonar data browser has the following functions:
a) Acoustic data from different dates and the same time can be selected for comparative analysis.
b) Data from different sites can be filtered and analyzed on the same page.
c) Acoustic data is presented in a graphical manner, showcasing acoustic characteristics through colors, curves, and graphics to achieve scientific data analysis and leak detection.
d) Can play the collected acoustic data for monitoring personnel to monitoranalysis.
e) When a leak acoustic is collected by two stations, the acoustic source can be located through correlation.
(4) Pressure transient analysis function
The pressure transient analysis module is used to analyze and locate the pressure transients generated in the pipeline network. Pressure transient analysis has the following functions:
The system provides a filtering interface to select the pipeline network areas and time periods that require statistical analysis.
The system provides a statistical list, and transient events are classified and counted according to their amplitude. At the same time, the average pressure, material, and age of the pipeline network are also classified and counted.
After selecting a site, the pressure transient of a single site can be analyzed, and the system displays the transient values in the form of a bar chart. By clicking on the top of a single transient value histogram, the high-frequency pressure curve of the transient can be displayed, and the transient source can be analyzed and located by overlaying the high-frequency pressure curves of neighboring stations.
The system also provides the following statistical charts to assist in transient analysis: 24-hour pressure transient statistical graphics (average pressure transient, maximum pressure transient, minimum pressure transient, median pressure transient), weekly pressure transient statistical graphics, non working day pressure transient statistical graphics, pressure transient distribution statistical graphics, pressure transient frequency statistical graphics, and other analysis graphical tools.
(5) Network coverage analysis capability
The network coverage analysis module is used to view the approximate monitoring range of individual and multiple sensor combinations, thereby assisting monitoring personnel in site deployment analysis and alarm range analysis.
The system can display the coverage results in continuous colors. Red indicates strong coverage and monitoring effect, green indicates poor monitoring coverage, and uncovered pipelines can be displayed in black.
(6) Leakage event library function
The leakage event database can record the discovered leakage points and mark them on the map for later query and statistics.
The leakage event library provides the following functions:
New Leakage Event: The system provides a page for entering leakage events, where you can enter the event, location, size, description, and location of the leakage, and locate it on the map.
Leakage point query: After selecting the query area, the system will mark the leakage point on the map for display. Users can click on the leakage point mark to view the detailed information of the leakage point.
3、 Usage significance
Water supply pipeline leakage monitoring systemReal time monitoring of pipeline operation. When a pipeline leak occurs, it can be detected and the location of the leak can be determined in a timely manner, so that emergency response can be carried out in a timely and effective manner, and the economic losses caused by pipeline leaks can be controlled and reduced, which has significant economic and social benefits.
The system introduces signal processing, pattern recognition, and artificial intelligence technologies to improve the sensitivity, reliability, and stability of pipeline leak monitoring systems, reduce false alarm rates, and is currently one of the most advanced pipeline leak monitoring technologies, not inferior to foreign equipment.