Doweston PipeAI Neo

Doweston's next-generation AI-enhanced pipeline intelligent monitoring system

Pipelines are the core lifeline infrastructure in oil and gas, chemical industry, municipal water services, district heating, hydrogen energy storage and other fields. For a long time, pipeline networks have always faced multiple safety hazards such as media corrosion, equipment aging, process fluctuations, third-party sabotage, illegal leakage, and environmental disturbance. Most traditional pipeline monitoring systems have fixed algorithms and static thresholds. They cannot adapt to changes in working conditions after being put into use. Once they encounter scenarios such as medium switching, load fluctuations, and equipment aging, they are prone to problems such as detection failures, missed alarms, and high-frequency false alarms. They are difficult to adapt to the high-precision, full-time, low-false-alarm, predictable, and compliant operation and maintenance requirements of modern pipeline networks.

Based on the pain points of intelligent upgrading of industrial pipeline networks, Doweston launched a majorDoweston PipeAI Neo, the next generation of AI-enhanced pipeline intelligent monitoring system. Relying on the self-developed AI neural network pipeline monitoring engine, it integrates physical hydraulic modeling and intelligent algorithm identification to break the limitations of traditional monitoring and create a full-dimensional pipeline protection solution that integrates leak detection, leakage identification, rupture prevention, working condition prediction, and integrity monitoring to protect the safe, efficient, green, and compliant operation of pipeline networks in the entire industry.

Core core: AI multi-method fusion monitoring, the system autonomously evolves to adapt to working conditions

Doweston PipeAI Neo abandons the traditional single detection logic and adopts an AI-enhanced multi-method evaluation system. It is a new generation of continuous internal monitoring technology adapted to complex pipeline networks. The system deeply integrates mature hydraulic physics models, dynamic statistical pattern recognition, and real-time sensor data (flow, pressure, temperature) to build digital twin virtual pipelines that are synchronized with the physical pipeline network in real time.

Through millisecond-level comparisons between virtual model simulation data and on-site measured data, the system can accurately capture pipeline network operation deviations and rely on self-developed neural network algorithms to intelligently identify working condition fluctuations and real faults. Different from the shortcomings of traditional system algorithms that are solidified and performance degrades year by year, PipeAI Neo supports full-cycle autonomous learning and dynamic tuning, and can automatically adapt to various complex working conditions such as pipeline start and stop, steady state, transient, low flow, medium replacement, equipment aging, etc., maintaining high sensitivity, high accuracy, and extremely low false alarm rate for a long time, allowing pipeline monitoring to be upgraded from "passive alarm" to "intelligent sensing, autonomous adaptation, and precise early warning."

Eight modular functions, fully covering the entire life cycle protection of pipelines

The system adopts a lightweight modular architecture, supports on-demand selection, flexible capacity expansion, and phased deployment without the need for large-scale transformation of on-site equipment. It is perfectly adapted to the intelligent upgrade of new pipeline networks and old pipeline networks, and comprehensively covers the core scenarios of pipeline operation and maintenance:

1. High-precision leak detection in all working conditions

Integrating multi-dimensional sensing data and AI intelligent decision-making, it can accurately identify small leaks, hidden slow leaks, and sudden leaks, support stable operation in all working conditions, and adapt to all scenarios such as pipeline start-up, stop, stationary, and transient fluctuations. It can accurately output core data such as leakage location and leakage rate, with high positioning accuracy and fast alarm speed, fully meeting domestic and foreign industry compliance standards.

2. Intelligent theft detection and positioning

Equipped with a proprietary wavelet pattern recognition algorithm, it can conduct real-time monitoring of illegal openings, unauthorized leaks, disordered media extraction and other behaviors in the pipe network. Even if there is a trace amount of leakage, it can be accurately identified, automatically alarmed, and the incident pipe section can be locked within a few minutes. Combined with the visual geographical interface, it helps operation and maintenance personnel quickly deal with it on site, minimizing media loss, safety risks, and economic losses.

3. Rapid protection against pipeline rupture

In response to extreme accidents such as sudden pipeline rupture and pipe explosion, millisecond-level abnormality identification can be realized, emergency alarms can be automatically triggered, and emergency shutdown and pipe section isolation can be linked to the local PLC control system to avoid the expansion of accidents. It is not affected by network delays and communication interruptions, has stable and reliable response, and is highly adaptable to the safety management and control requirements of pipe networks in high-consequence areas.

4. Hydraulic prediction simulation modeling

Relying on the fully dynamic digital twin system, it can simulate the hydraulic and thermal operating status of the pipeline network in real time, predict potential risks such as pressure abnormalities, transportation fluctuations, and supply and demand imbalances in advance, and output forward-looking warning information. Supports "what-if scenario simulation analysis" to help the operation and maintenance team optimize transportation plans, predict changes in working conditions, scientifically plan pipeline network loads, and adapt to complex pipeline network dispatching needs.

5. Accurate tracking of multi-media batches

For multi-media sequential transportation pipeline networks, real-time tracking of the beginning and end boundaries of batches, accurate calculation of batch arrival time, mixed oil volume, and pure medium transportation volume can effectively avoid medium cross-contamination and improve medium transportation purity and product yield. It can be connected to field instruments such as density meters and ultrasonic flow meters to further improve monitoring accuracy and adapt to refined operation and maintenance scenarios such as chemical industry and refined oil transportation.

6. Highly sensitive air tightness monitoring

It solves the industry pain point where traditional systems are difficult to identify trace amounts of slow leaks, and is suitable for various industrial pipelines, apron refueling pipe networks and other scenarios. Relying on physical modeling + automated assessment technology, the detection threshold is low and the test time is short. It can directly use actual media to complete pressure and air tightness testing, automatically generate compliance test reports, meet multiple industry standards, and is suitable for pipeline network commissioning and regular integrity verification.

7. Pipeline stress and pressure monitoring

Continuously collect and analyze data on pipeline network pressure load cycles, overpressure anomalies, and mechanical stress changes, automatically assess the operating status of the pipeline network in compliance with regulations, and visually present stress events, operating conditions, and system heartbeat data. Provide complete data support for pipeline fatigue analysis, aging assessment, remaining life prediction, predictive maintenance and compliance audit.

8. Real-time tracking and management of pigs

The operating position and progress status of the pig and wax scraper are monitored in real time throughout the entire process, and the expected arrival time is accurately calculated to optimize the pigging operation process. Intuitively and visually display the progress of the operation, effectively avoid the problems of pig jamming, detention, and unplanned parking, open up the barriers to collaboration between the control room and on-site operation and maintenance, and ensure the safe and efficient implementation of pigging operations.

Industry-wide scenario adaptation enables intelligent upgrade of pipe networks in multiple fields

Doweston PipeAI Neo is suitable for various types of above-ground and underground industrial pipe networks, and can be widely used in diverse scenarios such as long-distance oil and gas transportation, fine chemicals, municipal water affairs, sewage treatment, district heating, hydrogen energy pipe networks, and carbon dioxide transportation.

In the oil and gas industry, it can be adapted to long-distance pipelines of crude oil, refined oil, and natural gas to cope with complex terrain and extreme working conditions, and quickly deal with risks of leakage and third-party damage; in the chemical industry, it can accurately monitor flammable, explosive, and supercritical special media pipelines to build a strong production safety defense line; in the municipal water affairs field, it can effectively solve the problem of pipe network leakage, save water resources, and ensure water supply quality; in the new energy track, it can perfectly adapt to the new operation and maintenance needs of hydrogen energy and carbon capture and transportation pipeline networks, and help energy transformation and green and low-carbon development.

Low threshold for deployment and transformation, compatible with existing industrial control systems

The system has strong compatibility and scalability. There is no need to replace the original field instruments, and the existing sensing equipment can be completely reused, significantly reducing the cost of intelligent transformation of the old pipe network. Supports seamless connection with mainstream SCADA industrial control systems, quickly integrates into existing operation and maintenance management systems, and achieves unified data monitoring, unified scheduling, and unified archiving.

The communication layer supports multi-path transmission such as VPN, industrial wireless, mobile private network, and WLAN, adapting to harsh scenarios such as remote fields and complex factory areas. It is equipped with redundant communication links and a fault self-healing mechanism to prevent data interruption. The entire series of equipment meets explosion-proof safety regulations and can be safely operated in explosive hazardous areas such as oil and gas and chemical industries.

Safe, controllable and long-term operation and maintenance to help the sustainable development of the industry

PipeAI Neo is not only a safety monitoring tool, but also a core platform for complete life cycle integrity management of pipeline networks. In the event of a sudden failure, the system can provide rapid alarms, precise positioning, and linked emergency response to curb safety accidents and economic losses. In daily operation and maintenance, big data analysis is used to optimize the energy efficiency of the pipeline network operation and reduce energy consumption and carbon emissions.

At the same time, the system can predict pipeline corrosion, aging, and fatigue risks in advance, extend the service life of pipeline network infrastructure, and reduce resource consumption and the frequency of engineering modifications. Through precise leakage control, consumption reduction, energy conservation and efficiency improvement, and taking into account safety production, economic benefits and green environmental protection value, we help enterprises achieve the dual goals of compliant operation and maintenance and low-carbon sustainable development.

Doweston PipeAI Neo core product advantages

• AI autonomous evolution:Physical model + neural network dual drive, continuous learning of working condition data, better performance with more use, eliminating the performance degradation problem of traditional systems

• High reliability under all working conditions:Adaptable to all scenarios including steady state, transient state, start-stop, and static state, full coverage of micro leaks, stolen leaks, and burst pipes, with extremely low false alarm rate

• Modular flexible deployment:Optional functions on demand to support step-by-step construction and low-cost transformation of old pipe networks

• Widely adaptable to the whole industry:Covering oil and gas, chemical industry, water affairs, heat, hydrogen energy, and carbon transportation multi-pipeline network scenarios

• Powerful and easy to integrate:Seamlessly connects to SCADA industrial control system, compatible with all types of existing instruments, and adapts to multiple types of industrial communication scenarios

• Full-cycle localization services:One-stop support for solution customization, equipment deployment, debugging training, algorithm iteration, and after-sales operation and maintenance

At a time when pipeline network safety control is becoming increasingly stringent and intelligent upgrades are being implemented at an accelerated pace, Doweston PipeAI Neo uses AI technology to reconstruct the pipeline monitoring system, promote the transformation of pipeline network operation and maintenance from "passive disposal" to "active prediction, intelligent management and control, and long-term safety", and provide core technical support for the safe, efficient, and green operation of industrial pipeline networks.

To learn more about product details and industry solutions, welcome to visit the official website of Doweston: www.doweston.cn