Guarding the "city lifeline" | Ground-air intelligence takes you into the digital twin underground pipe network

Introduction:

On May 10, 2022, the General Office of the State Council issued the "Implementation Plan for the Renovation and Renovation of Aging Urban Gas Pipelines and Other Aging Products (2022-2025)", which clearly stated that "actively use new equipment, new technologies, and new processes to systematically carry out urban gas pipelines, etc." "Ageing Renovation and Renovation", while emphasizing the need to "simultaneously promote digital, networked, and intelligent construction". It plans to start and implement a number of aging renovation and renovation projects in 2022, and basically complete the aging renovation and renovation tasks such as urban gas pipelines by the end of 2025.

At present, the old pipeline networks built in the last century in our country are in disrepair and are intensively entering a period of renewal and renovation. On the one hand, urban underground pipe networks are concealed and complex, which brings many challenges to municipal construction management. On the other hand, based on digital twin technology, promoting the visibility, measurability and manageability of the entire life cycle of urban underground pipe networks is an important direction for the construction of smart pipe networks. In order to avoid systemic safety risks arising from the urban underground pipe network and protect the "urban lifeline", the intelligent construction of the urban underground pipe network based on digital twin technology is imperative.

Main problems faced by urban underground pipe networks 

In recent years, my country's urban population density has increased year by year, and the demand for urban water and gas is growing. Data from the National Bureau of Statistics show that as of the end of 2020, the growth rates of my country's water supply pipeline length, urban drainage pipeline length, and natural gas pipeline length were 9.43%, 7.93%, and 10.75% respectively. Due to various historical reasons, the management level of my country's urban underground pipe network lags behind the needs of urban development. Safety accidents caused by the pipe network occur frequently, which brings great hidden dangers to the safety of cities and citizens.

1, The pipe network base is incomplete

There are many types of urban underground pipe networks, including water supply, drainage, gas, heating, power supply, communications, fire protection, radio and television, industrial pipelines and their ancillary facilities. They are important infrastructure and "lifelines" to ensure the operation of the city. In the early days of urban infrastructure construction, there was a lack of systematic management of underground pipe network information. Underground pipe network data was not strictly recorded and saved, and data such as pipe network material, corrosion degree, service life, and operating status were incomplete. In addition, due to the lack of comprehensive planning and overall management, the underground pipe network is constructed decentrally by various line departments. Pipe network data is scattered among various construction units and cannot be shared. It is extremely difficult to form a complete picture of city-level underground pipe network information. Due to the unclear status and distribution of the underground pipeline network, damage accidents to old underground pipelines caused by urban renewal and reconstruction are common. According to statistics, among the underground pipeline accidents nationwide in 2021, the number of pipeline damage accidents accounted for 78.64%.

2, The operating status is difficult to perceive

At present, many urban underground pipe networks in our country were built at the end of the last century. Many pipe networks have been laid for more than 30 years, and there are many cases of overdue service. Limited by the technical conditions at that time, the informatization construction of urban underground pipe networks lagged behind and lacked necessary technical and physical defense means. Especially in some old neighborhoods, some pipelines are in disrepair, daily inspection and maintenance are not in place, and there is a lack of monitoring of the operating status of the pipeline network, making it difficult to identify potential safety hazards. As pipelines corrode and age, accidents such as pipe network bursts and road subsidence occur from time to time. , bringing a lot of inconvenience to people's lives. At the same time, various professional operating units also face huge challenges in pipeline network quality management and refined operations due to insufficient precise dispatch and control.

3.The accident was not handled in a timely manner

The scale of urban underground pipelines in my country is huge. The total length of drainage pipelines alone exceeds 700,000 kilometers. Problems of disrepair are common. Pipe leakage, corrosion, cracking, settlement and other problems cannot be dealt with in a timely manner, resulting in the loss of a large amount of water resources and the reduction of sewage. Treatment efficiency, impact on urban drainage and flood control, etc. In 2020, the total public water supply in cities and counties across the country was 69.319 billion cubic meters, and the comprehensive leakage rate was 13.26%.

Intelligent construction of urban underground pipe network based on digital twins

With the continuous development of new generation information technologies such as the Internet of Things, cloud computing, industrial Internet, and AI, as well as the implementation of the national big data strategy and the steady advancement of the development of the digital economy, the development and management model of urban pipe networks is changing from "digital" to "digital". In the era of "intelligence", digital twin technology provides a new technical path for pipeline network operation and management, becomes an effective means to realize the interactive integration of the digital world and the physical world, and provides technical support for the full life cycle management of pipeline networks.

Ground and air intelligence perspective: The intelligent construction of urban underground pipe networks based on digital twin technology makes full use of existing digital infrastructure to help users build a network based on basic data, The application of technology to complete empowerment of business decision-making meets the needs of comprehensive integration of data and technology, real-time perception and visualization of pipeline network situation, intelligent early warning and prediction of abnormal situations, automatic dispatch of emergency response, scientific research and judgment optimization of operation data, etc., and other closed-loop refined management of business Need to realize "intelligent perception-intelligent prediction-intelligent processing-intelligent assessment-intelligent optimization".

A direct look at typical application scenarios

Scenario 1: Normal operation, monitoring of the overall situation of the pipeline network

The pipeline network has a wide geographical distribution area, a large cluster scale, and a large number of pipeline network types. It involves cross-regional comprehensive services in water supply, drainage, gas, heat, power supply, communications and other fields. Regular monitoring of large-scale cross-regional pipeline networks is a smart One of the main application scenarios of the pipe network platform. Based on digital twin technology, a three-dimensional geographical information system can be used as a base to realize a three-dimensional display of the overall distribution of large-scale pipeline networks to local pipeline corridors; it can also integrate multi-source data on pipeline network operations to analyze the above-ground and underground distribution trends of various types of pipeline networks. Real-time monitoring and analysis of information such as coordinates, direction, real-time operation status of the pipeline network, health status of pipeline corridors, and component conditions. The "point, line, and surface" operation management of the pipeline network is fully visible and the entire process is visible, assisting users to efficiently master large-scale management. The network operation situation has changed from passive management to active and intelligent management, effectively improving the level of pipeline network safety management.

Scenario 2: Early warning, intelligent perception of abnormal events

By integrating artificial intelligence, Internet of Things sensing and other underlying technology platforms and analysis model algorithms, based on real-time and historical operation data of the pipeline network, a risk safety assessment model and hierarchical early warning mechanism can be established to monitor the pipeline network's operating load, overflow, temperature mutation, and blockage. and severe weather and other aspects of data indicators to intelligently analyze and predict, provide hierarchical warnings for abnormal situations, accurately locate abnormal points, assist users in discovering safety hazards in a timely manner, effectively improve the handling efficiency of abnormal events, and also provide users with Emergency drill simulation provides support. Promote the transformation of pipeline network supervision from "passive service", "post-processing" and "relying solely on manpower" to "active discovery", "pre-warning" and "intelligent management".

Scenario 3: Incident handling, precise and efficient coordinated command

On the basis of global data fusion and intelligent data analysis, the smart pipe network platform based on digital twins integrates application functions such as intelligent inspection, video surveillance, communication systems, video conferencing, and image transmission to receive and report original incidents. Work processes such as assignment and emergency response are optimized.

 

 

 

 Based on the digital twin scenario, it can intuitively display the situation of pipeline network operating environment, emergency resources, on-site video and other elements, automatically locate pipeline network faults/abnormal points, and display the source, type, area, person in charge, and current event status of reported events in real time. Status and other information; at the same time, the responsible party is intelligently assigned for processing, and the work order flow of event handling can be viewed in real time, and detailed information such as processing personnel, business load capacity, work order progress, and estimated completion time can be queried; automatically generated Incident reports are provided for review and analysis, reducing the intermediate links from "incident reporting" to "incident handling", and realizing the entire process of intelligent perception of multi-source events, accurate issuance of work order instructions, real-time tracking of disposal progress, and intelligent evaluation of incident settlement. Visible and traceable, effectively improving incident handling efficiency.

Scenario 4: Pipe network planning, scientific analysis and intelligent optimization

The planning and construction of the pipeline network is a large and complex system project. The smart pipeline network platform based on digital twins and the three-dimensional city base can be used to analyze urban terrain, industry, commerce, residential area distribution, and large-scale pipeline network distribution. The situation is truly and intuitively reproduced; combined with a series of professional business decision-making analysis models and algorithms, the city pipeline network construction status, supply and demand and other operating indicators are monitored and analyzed throughout the life cycle, and the current status is evaluated and past occurrences are evaluated. Diagnose problems, predict future trends, and deeply explore the inherent laws of urban development. It can not only conduct visual simulation analysis of pipeline network construction plans, effectively reduce trial and error costs, but also provide an effective way to solve the problem of cross-regional and cross-department collaborative management and decision-making.

Company Profile:

Guangdong Ground and Space Intelligence Technology Co., Ltd. (GSI) focuses on the fields of Internet of Things, big data, cloud computing and artificial intelligence technology. It develops and applies space intelligence in the fields of earth and space science, geophysics and space information, urban underground space engineering and other fields. Provider of scientific digital solutions for space and earth integration. Its ground-to-air cloud service products provide customers with a comprehensive one-stop full-process platform service from engineering design to inspection, monitoring and evaluation to post-operation and maintenance analysis and decision-making. The company is mainly based on the technical team of doctors, masters and engineers from Sun Yat-sen University. Driven by both technology and market, the SAAS cloud platform has been developed and fully supports the latest generation cloud platform.

In view of the characteristics of deep integration of big data and business, Dikong relies on its superb technology accumulation to provide customers with highly targeted solutions that accurately meet customer needs: a one-stop service platform for smart construction sites, a digital platform for engineering survey operations and quality supervision, Digital platform for engineering construction management, cloud platform for geotechnical engineering safety monitoring such as high support formwork, foundation pits, slopes, etc.; intelligent management platform for information on hidden dangers of urban ground collapse, geological disaster monitoring and early warning forecasting platform, natural disaster monitoring and emergency command system platform, emergency Management data governance platform; subway smart IoT data platform (subway safety operation early warning); pipe network survey comprehensive data processing software platform, drainage pipe network intelligent management platform, water pipe network intelligent operation and maintenance management platform, etc.

 

 

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