Smart Empowerment | Robot "Physical Examination Doctor" is the airport road to "diagnose the pulse"

Taoist safety is an important aspect of ensuring the safety of airport operation. Taoist safety testing is one of the core tasks to ensure the safety of aircraft's take -off and landing. With the increase in the number of airports and flights and flights in my country, the utilization rate of many airport runways has entered a super saturated state, and road safety testing operations have also shown the characteristics of ultra -high safety and accuracy requirements, ultra -narrow operation time limit, oversized operation scope and other characteristics. Traditionally, artificial and semi -automatic detection methods cannot meet the current safety testing needs in terms of detection efficiency and accuracy, and even the maintenance of the roads of individual airports can only be carried out in a manner afterwards, passive, and extensive ways. Therefore, the airport road safety detection urgently requires more efficient and intelligent overall solutions.

Multi -robot collaborative operation road surface safety detection is more intelligent

At present, there are fewer research and applications in the airport testing equipment at home and abroad, but it has made breakthroughs in related technologies. For example, Canada Fugro Roadware, the United States Waylink Systems, Zhonggong Hi -Tech, Wu Da Zhuoyue, etc. have developed a variety of road -based road conditions detection systems. Automation collection and initial automatic processing. However, the airport road surface is significantly higher than the highway in terms of structural reliability, and the operating scenes and technical requirements are different from the highway. Therefore, these technologies cannot be directly applied to the airport road safety detection.

The robot is underway

Generally, the high -precision alignment standard of time and space The two dimensions of detection data is the basis and premise of dynamic analysis of the conditions of the road. The reporter learned that the previous road testing was mainly based on artificial hiking surveys. Although the inspection vehicles can greatly improve efficiency, they still cannot achieve real -time and accurate positioning. The multi -source data is difficult to integrate. The inevitable choice of the detection system.

However, it is difficult for a single robotic platform to meet the requirements of Taoist detection operations in different environments at the same time. According to the current airport safety operation management regulations, if a sudden crushing (size is greater than 12 cm) within the entire range of the road, the runway must be closed. It is completed in minutes and the time window is extremely short. This not only puts forward requirements for the operating speed and detection efficiency of the robot, but also means that the platform needs to have flexible positioning and navigation capabilities in the taxiway and the apron area. Therefore, it has been upgraded from a single robot system to a multi -robot collaborative operation, which has become another development trend of airport road testing.

In 2020, the national key R & D plan "Intelligent Robot" special "Intelligent Robot Trail Safety Detection Robot" project led by Chengdu Guimu Robotic Co., Ltd. was launched. The person in charge of the project is Liu Jingtai, a professor at the School of Artificial Intelligence of Nankai University, and has 5 sub -topics. The participating unit includes many companies such as Nankai University, Tongji University, China Civil Aviation University, Civil Aviation No. 2, and Institute of Automation of the Chinese Academy of Sciences. As a joint demonstration project of "industry -university -research" integrated and joint research, the project revolves around the airport runway operation safety testing, airline ability assessment and road surface life cycle evolution. Cloud wisdom function, suitable for multi -mode robot intelligent detection solutions that are available in airports.

With the support of the Ministry of Science and Technology and the Civil Aviation Administration, at present, the research team has developed the first generation of road health robot automatic detection systems in accordance with the safety testing needs and technological development trend of airport road surface surface surface, and initially proposed automation and intelligence. The airport road surface safety detection solution, and put it in more than 60 airports such as Lhasa Gongga Airport, Sanya Phoenix International Airport, and Hangzhou Xiaoshan International Airport.

According to the relevant personnel of the research team, the solution involves the intelligent testing technology of small samples and small samples and small samples in the background of the airport surface. Facing a series of key technologies such as multi -mode robot planning methods for complex and multi -constrained tasks, it can perform periodic full coverage or special inspections on the airport road surface. On average, it can complete 15,000 square meters of scan detection per hour. Provide centimeter of disease location information, and establish a real -view model of millimeter -level resolution. The cost is low and the detection capacity is strong.

Based on the level of data processing of the "Cloud -Border -End" architecture, upgrade

In order to further enrich the content of system detection and continuously improve the intelligent level of detection data processing, the research team has developed the airport road safety detection robot system based on the "cloud -edge -end" architecture.

Based on the level of data processing of the "Cloud -Border -End" architecture, upgrade

The "end" consists of a multi -mode airport road safety detection robot system and deployed locally at the airport. As the perception of the airport road safety testing operation, it replaces the artificial driving vehicle that was originally inspected, which is mainly responsible for the automatic collection of the health data of the airport road surface. These multi -mode detection robots mainly include high -precision inspection robots, high -speed inspection robots, and auxiliary inspection drones. The robot system is divided into multi -mode mobile platform modules, a series of structural security detection modules, running safety detection modules, perceived positioning modules, and human -machine interaction modules. Different modules can quickly switch and expand.

"Bian" is a multi -robot remote monitoring and data intelligent analysis platform, which is mainly responsible for detecting the real -time operating status of the robot. The "edge" platform includes airport road safety detection robot remote monitoring and fault disposal platforms, GIS -based (GIS (geographical information system) airport road surface security data intelligent data intelligent analysis and management service platform, etc., to achieve multi -platform linkage can build end control and coordination with end control and coordination The "edge" monitoring center of capabilities and the "border" edge computing center with multi -modal data processing capabilities to support the intelligent and data analysis of the airport robotic operation. After the airport detection operation area is determined, the "side" monitoring platform will send the detection task to the robot. The robot operates independently and collects detection data in the detection area through the running trajectory. In the process of operation, information such as the current location, motion status, sensor status, and task completion of the robot will be fed back to the monitoring platform in real time to facilitate staff to view and evaluate and adjust in time. Both "end" and "edge" use 5G communication technology, and the data transmission rate and quality are guaranteed. "Cloud" is the Health Data Cloud Sharing Center, which is deployed at the local aviation regulatory unit or the airport. As the top business under the "Cloud -Border -end" architecture, the Cloud Sharing Center is responsible for the knowledge sharing and migration of the knowledge of the health data of the airport road surface. Iteraton, autonomous renewal learning, historical data storage, etc., and the updated surface surface epithenbon, structural disease, FOD (foreign foreign body) intelligent identification model, as well as airport nesting status safety assessment and predictive models are deployed in deployment The "edge" end of each airport has made the airport roads and maintenance operation and maintenance more well -based, well -evident.

Airport road health automatic monitoring system (the picture comes from the official website of Guiming Robot)

Intelligent precision detection The safety of the whole life cycle guardian

Nowadays, there are many airports in the country to try first, and actively introduce airport road safety detection robot systems to improve the level of road maintenance management. Among them, Beijing Daxing International Airport, as a benchmark for the construction of domestic smart airports, has become the most typical application case.

On the wide airport stop, several aircraft were lined up and waited for the flight task. On the other side of the airport, an orange machine turned on the probe light and shuttled back and forth on the airport runway. The data where the data was on was recorded, and the surface and internal diseases were clearly visible. This is exactly the airport road safety detection robot system is working.

In August 2020, the Beijing Daxing Airport Terminal Detection Project Team conducted a full coverage of the airport runway, taxiway, and apron. The airport road surface safety detection robot collects all road surface surface data in the operation area and the internal exploration radar data, the original data is introduced into the airport road surface security detection data intelligent analysis platform, and the statistical statement of the airport road surface disease is automatically generated. Economic benefits are significant. Using the high -precision detection data collected by the robot, Beijing Daxing Airport has realized the digital management of Taoist diseases and Taoist assets, and provides a scientific decision -making basis for subsequent airport departments to formulate the precision maintenance plan of Taoism. The results of this health state detection and evaluation also run through the management process of the entire life cycle of the airport road surface, laying the foundation for the establishment of a digital twin model for the airport.

Similar to Beijing Daxing Airport, Lhasa Gongga Airport also carried out periodic collection of airport roads and internal structure data, extracting the internal pipeline and cable three -dimensional information, establishing a three -dimensional digital management model of the road surface, and carrying out preventive precision maintenance. Chengdu Shuangliu Airport, Hangzhou Xiaoshan Airport, and Kunming Changshui Airport, etc., use robots to accurately find lesions for repeated damage, abnormal settlement and other problems, judge the root cause of the disease, and provide good data support for special maintenance plans.

Today, the construction of Ping An Airport and Smart Airport is one of the key tasks of implementing the "Outline of the Construction Action of the New Era of the New Era". The flight area is an important asset of the airport. Essence With the rapid development of 5G, big data, the Internet of Things, cloud storage and other technologies, airport road surface detection shows from artificial semi -automated sampling to intelligent precise detection, from low -frequency static detection to high -frequency dynamic warnings, from single information analysis to analysis of single information to analysis of single information to analysis Multiple data evaluation, post -engaged in extensive maintenance to preventive precision maintenance, from staged discrete maintenance management to full life cycle maintenance management trends.

It can be imagined that through the "end" of the accurate information collection of robots and the Internet of Things, the "edge" of intelligent information processing, the "cloud" of deep information applications, the airport surface security detection robot system based on the "cloud -edge -end" architecture will be In the end, the goal of "fast inspection, accurate, and early warning" has become a key means for the intelligent maintenance management of the future. (China Civil Aviation reports Hu Xizheng, Liu Jingtai)

(This article was published on the 8th edition of China Civil Aviation September 21, 2022)

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