Airfield pavement is one of the most important assets of the airport, and its health condition has a decisive impact on the safe, efficient and scientific operation of the airport. At present, airports at home and abroad mainly grasp pavement safety and health information, evaluate pavement airworthiness, and make decisions on pavement maintenance, repair and reconstruction through daily, regular and special inspection based on manual work.
The current airport pavement safety and health information detection has the bottleneck of low-frequency static, large proportion of human factors, one-sided information, low accuracy, low efficiency and dependence on external technical forces, so that the pavement maintenance design and construction can only be carried out in a passive and extensive way after the event. Especially with the increasing number of China’s military and civil airports, the expansion of hub airports, the aging of some airport pavements, and the increase of flight take-off and landing volume, the management and maintenance of airport pavements are facing the pressure of rapid increase in area, concentrated outbreak of diseases, various damage incentives, and short suspension maintenance time, which pose a huge challenge to the pavement safety, management and maintenance economy and navigation efficiency.
With the rapid development of nondestructive testing sensor, 5G, big data, Internet of things, cloud storage and processing, artificial intelligence, robot and other technologies, airport pavement management and maintenance presents from artificial semi-automatic sampling detection to intelligent comprehensive and accurate detection, from low-frequency static evaluation to high-frequency dynamic evaluation and early warning, from single information analysis to multi heterogeneous data fusion evaluation, from experience based evaluation From passive extensive maintenance to accurate maintenance based on data prevention, from phased discrete maintenance to life cycle maintenance.
In the future, a data acquisition system based on robot and Internet of things, an analysis and evaluation system based on artificial intelligence, and a trend perception and decision-making system based on big data and cloud computing will be formed, which will make the equipment intelligent, digital management, accurate maintenance, and standardized mode. It is expected to realize the first-line penetration of safety risks, the clear understanding of road health, the one key accessibility of disposal operation, and the prediction The ultimate goal of ensuring safety, improving quality and efficiency can be achieved through integrated operation of decision-making.
In order to promote the development of technical equipment and application system for accurate pavement detection, the Ministry of science and technology has launched the national key R & D plan “airport runway safety detection robot” project, and the Civil Aviation Administration has launched the key special project “research and test verification of key technologies for intelligent detection and analysis of airport pavement properties” for safety capacity building. Based on the above support, Shanghai Guimu robot Co., Ltd. focuses on the development of the airport pavement safety and health robot detection system based on the “cloud edge end” architecture, and builds a multi robot cooperative detection system with ground air integration and cloud intelligence, which is suitable for Pavement Inspection and regular inspection, so as to improve the airport pavement operation safety and health management in an intelligent, accurate, efficient and safe way Management ability and level.
2. The first generation of pavement health robot automatic detection system launched
With the special support of the Ministry of science and technology of the people’s Republic of China and the Civil Aviation Administration, Shanghai Guimu robot Co., Ltd. has successfully developed the first generation of pavement health robot automatic detection system, which has realized some functions of “end” and “edge”.
The automatic detection system of pavement health robot is a special service robot system based on omni-directional mobile robot, multi-sensor fusion, high steady state and high precision positioning and navigation, multi-sensor synchronous acquisition and control, intelligent obstacle avoidance and safe operation technology, massive data intelligent processing and recognition, three-dimensional real scene visualization of detection results and other technologies. It can carry out full coverage general inspection or special inspection for key parts of the whole pavement periodically, provide centimeter level data positioning information, establish millimeter level resolution real scene model of pavement, present in situ the information (location, depth and size) of pavement apparent disease and internal hidden disease, and intelligently evaluate the development trend of disease based on the detection results of time evolution dimension, so as to realize the whole life cycle of pavement Period management.
Topological diagram of the first generation pavement health robot automatic detection system
“End”: robot data acquisition
“Edge”: artificial algorithm for intelligent analysis and recognition of apparent diseases
“Edge”: dynamic display of airport pavement health information management software platform
The system has passed the professional certification of the National Road and bridge engineering testing equipment measurement station and the national robot quality supervision and inspection center, with a total of 65 authorized patents, and has completed field demonstration and engineering application in more than 50 military and civil aviation airports in China.
Yunnan Changshui Airport
Chongqing Jangbei Airport
Quanzhou jinjiang international airport
Hangzhou Xiaoshan International Airport
Chengdu Tianfu International Airport
3. The application effect of innovative technology is excellent
Under the guidance and promotion of “new airport technology directory guide” issued by civil aviation administration, some airports practice the concept of “trial first”, actively try to introduce the pavement health robot automatic detection system, improve the pavement management and maintenance level, accumulate application experience, explore application mode, and have achieved good results in engineering application, forming the pavement preventive maintenance and life cycle management, precise management mode There are four main application modes: quasi repair disease special investigation, project retest and repair construction effect comparison, pipeline modeling and non-stop construction risk control.
（1） Application mode of pavement preventive maintenance and life cycle management
Beijing Daxing airport and Lhasa Gongga Airport adopt robot technology to periodically collect the surface and internal structure of the whole pavement, extract the three-dimensional information of pipelines and cables inside the pavement, establish the three-dimensional digital management model of the pavement, and carry out preventive maintenance and precise maintenance based on the periodic data of the surface and internal structure of the pavement, so as to realize the safety and health of the pavement Life cycle management of Kang. In particular, Daxing airport has introduced digital and intelligent management means such as robots since the runway entered into service, creating a new era of global airport pavement life cycle management.
Life cycle health management model
（2） Application mode of special investigation on precise repair diseases
Hangzhou Xiaoshan Airport, Kunming Changshui airport, Tengchong hump airport, Xining caojiabao airport, Nanchong Gaoping airport and other units used robot means to carry out accurate disease investigation for repeated pavement damage, abnormal settlement and other problems, and found the focus through the fusion analysis of apparent disease and hidden disease, Determine the root cause of the disease, and provide good data support for the special maintenance program.
Schematic diagram of disease precise marking
（3） Application mode of comparison between engineering retest and repair construction effect
Quanzhou airport and other units, aiming at the problem of repeated pavement damage, use robot means to conduct a comprehensive, detailed and accurate investigation on the runway, and take targeted and accurate maintenance and repair measures. After the repair construction, the robot method is used to retest again, and the treatment effect is compared before and after, so as to ensure that the runway surface can fully meet the needs of safe operation.
（4） Application mode of pipeline modeling and risk control in non-stop construction
This application mode can help to carry out risk control for non-stop construction area. The robot is used to detect, locate and model the underground pipeline. Aiming at the runway disease prone areas, the non-stop construction is carried out effectively, and the data support is provided for the secondary construction burying to ensure the subsequent construction safety.
The system automatically generates 3D data of runway disease distribution and pipeline
4. Looking forward to the future, intelligent management and maintenance of pavement can be expected
Airport Pavement safety and health intelligent detection technology based on “cloud edge end” architecture is a deep integration application of robot, artificial intelligence, 5g, cloud storage and processing, big data and other cutting-edge technologies. It is the core technology and key means of intelligent pavement management and maintenance in the future. Through the “end” of precise information collection of robot and Internet of things, the “edge” of intelligent information processing, and the “cloud” of in-depth information application, “fast detection, accurate detection, and early warning” can be realized.
For a single airport, the realization of digital twin can provide immediate assessment and long-term early warning for pavement safety and health, carry out preventive maintenance and precise maintenance based on data, ensure pavement safety and reduce management and maintenance costs. At the same time, for the industry regulators, based on the long-term data accumulation of multiple airports, we can establish the airport pavement big data platform, realize knowledge sharing and migration, and make our airport pavement planning, construction and operation and maintenance more evidence-based.
Airport Pavement safety and health management closed loop