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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
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Hangzhou Maihuang Technology Co., Ltd
Long distance water hammer and leakage monitoring system for water supply network - automation control system
NegotiableUpdate on 04/07
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Overview
The long-distance water hammer and leakage monitoring system for water supply pipelines can monitor pipe bursts or leaks in real-time online. Based on on-site high-frequency pressure sensors and hydrophone clock synchronization technology, it can monitor pipe bursts and leaks, achieving a 30 meter accuracy in pipe burst location.
Product Details
1、 System Introduction
Long distance water hammer and leakage monitoring system for water supply networkIt is an automated monitoring system that can monitor water supply, oil supply, and gas supply pipelines in real-time 24 hours a day without human intervention, for incidents of pipe bursts or leaks. A combination of high-frequency pressure sensor array and high-sensitivity hydrophone sensing array is used to monitor the pressure and acoustic signals inside the pipeline. The signals are collected and digitally processed in real time, and the collected data is transmitted to the dispatch control center analysis platform for real-time monitoring and analysis of the pipeline through the on-site data acquisition communication device RTU, 3G/4G wireless and fiber optic communication methods. Identifying the characteristic changes during pipeline leakage and achieving pipeline leakage monitoring. Piezoelectric ceramic hydrophone front-end sensing, collecting front-end data for pipeline automation on-site.
2、 System configuration principles and performance requirements
Install an integrated sensor, including a high-frequency pressure sensor and a hydrophone, at the location of the exhaust valve, while the sensor is in contact with the water inside the pipeline. The principle for setting the distance between sensor installation positions is 800-1200 meters, and the position should be adjusted appropriately within this distance range based on site conditions.
System configuration requirements
1) The on-site hardware equipment includes:
-High frequency pressure sensor
-Hydrophone
-Communication data transmission device RTU
-GSM (3G/4G) and synchronous timing clock antenna
-Stainless steel control box and power accessories
2) Communication method: 3G/4G wireless communication or fiber optic communication. When the airborne optical cable fails, the communication system can ensure that the monitoring equipment on both sides of the fault point can transmit data to both ends of the line, and then transmit the monitoring signals back to the water plant monitoring center platform software through the wired VPN network between the water plant and each management station.
3) Monitoring and Analysis Platform Software: Client Server Installation Method
4) Power supply: Wind solar complementary power supply, equipped with lithium batteries, with a capacity that meets the requirement of 20 days without sunlight for on-site sensors and RTU transmission devices to continue normal operation.
5) Power redundancy: The RTU body needs to be equipped with a built-in lithium battery and an external power supply for mutual backup.
3、 Technical parameters
（1）Hydrophone (piezoelectric type)
Sensitivity: -172dB Vite: 1V/μ Pascal
Response frequency range: 20Hz-20KHz
Power supply: 2.2-5VDC; -1mW Typical Operating Conditions
Sensor material: PEEK
Coaxial cable: low noise
Maximum static pressure capacity: 68Bar
Safe working temperature range: -20 ℃ to 80 ℃
Low noise, high durability, requires immersion in water
Protection level: IP68
Including a 10 meter cable
(2) High frequency pressure sensor (high-frequency water pressure gauge)
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 ℃
Maximum static pressure capacity: 68Bar
Material: Stainless steel isolation membrane
Protection level: IP68
Including a 10 meter cable
(3) Data acquisition and communication device RTU
Equipped with GPS antenna, the default length of the connecting cable is 6 meters (adjustable),
Supports GPS/Beidou. Clock synchronization accuracy: ≤ 1ms;
External power supply: 12VDC, automatically switches to the built-in power supply through software;
The body is equipped with a built-in lithium battery, which can meet the on-site equipment operation for at least one month after the external power supply fails;
Collection cycle: The data upload time can be adjusted and automatically connected to the central control for uploading.
Memory: Built in 16GB flash memory card, supporting the storage of high-frequency pressure data, saving data for 30 days without loss;
Low power consumption: Low power design, power supply voltage: 12VDC; The total power consumption after connecting the sensor is ≤ 1W;
Operating temperature: -30 to 75 ° C;
Overall and connector waterproof rating: IP68
Equipped with high-frequency pressure gauge interface, supporting Modbus standard bus to collect data from other devices on site
Communication: 3G/4G, inserted with standard SIM card, supports fiber optic communication, comes with a set of serial port servers, and supports general Ethernet protocols such as Profinet.
Pressure collection accuracy greater than or equal to 16 bits;
Support audio input interface;
4、 Monitoring platform requirements
1.Long distance water hammer and leakage monitoring system for water supply networkMeet the requirements of distributed deployment: adopt client installation method and deploy on client virtualization servers according to actual needs. Install programs and application software with different functions on different servers/instances according to the functional characteristics and system load requirements of each server.
2. The system adopts a B/S architecture and is designed with an SOA architecture: the system can tolerate failures without affecting user experience, security, or causing data loss. All servers and services are under continuous monitoring to prevent unauthorized access, memory issues, disk space problems, and operating system patches. If a system fails, the high availability architecture will trigger a backup system to replace the faulty system, thereby reducing the impact on the overall system.
3. User interface application based on map visualization and interaction: The collected data is combined with user pipeline and device data (or data provided by GIS system) for calculation and analysis, and displayed on the map. It can provide users with a visual interface to view sensor location information, pipeline maps, and other analysis results, and will provide users with an interactive and unified alarm list interface.
4. The system meets the requirements of concurrent big data processing: high-frequency pressure data and acoustic data in pipelines are both large amounts of data. The system has the ability to load, process, and analyze this type of data, and the speed of loading, processing, and analyzing this type of data is within the standard range (average time<5s, complex queries<10s).
5. The system supports secure encryption access: SSL certificates are used for encryption and communication to ensure that data access meets network security requirements. Users authenticate themselves through the Active Directory, and only registered users with defined roles and rights can access the system.
6. The system provides rich third-party interfaces: the system provides data interfaces to achieve data sharing and data integration with the upper system. The system can provide two types of data output interfaces for third-party system calls:
-The system releases the URL address of the online security monitoring system, and other systems can directly call the address to access the data monitoring and analysis page. The system access includes unified authentication function.
-WebService interface: The WebService interface provides access to other system call alarm information and data analysis results. The system can push alarm information to user related business systems in real time through this interface, and share monitoring and analysis data.
7. The system has machine learning and artificial intelligence analysis functions: the system can identify abnormal events of pipeline pressure transients based on historical data analysis of pipeline operation rules, and identify abnormal pipeline acoustic data through artificial intelligence analysis.
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