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- Krylia with advice: the Russian Federation has created a system for automatic inspection of UAVs
Krylia with advice: the Russian Federation has created a system for automatic inspection of UAVs
Russian engineers have developed a hardware and software package for automatic monitoring of the technical condition of the UAV fleet. The system processes data from all sensors installed on the equipment, evaluates its performance and predicts the likelihood of failure. The development allows you to carry out repairs in advance and get rid of the forced downtime of aircraft. According to experts, the complex can be used in both civil and military unmanned aircraft, which will solve many problems that arise during the operation of a large number of drones.
A complex for automatic inspection of drones
MAI specialists have created a hardware and software package for automatic monitoring and analysis of the fleet status of drones. It consists of a special communicator that is installed on the UAV, collects and transmits data to the system from sensors located on the equipment, as well as software that processes this information and predicts the occurrence of problems based on it. Using the technology will make it possible to switch to maintenance of equipment according to its condition, rather than according to its prescription, and will also reduce the number of breakdowns.
"Developers and users often incur financial and rehearsal losses due to the lack of up—to-date information about the state of the equipment, the specifics of its operation and maintenance and repair, as well as the inability to make accurate forecasts for its use and logistical support," said Roman Kuzin, a leading engineer at the BAS MAI Center.
The digital platform collects information from all on-board sources, maintains a history of equipment operation (developments, failures, control features) and maintenance and repair work, generates analytical reports, provides information support and monitors the work of the operator or technician, and maintains a database of documentation, the authors of the project said.
— The analysis of the quality of operation of various types of aviation equipment has shown that the picture of the serviceability and readiness of aircraft for departure and the solution of assigned tasks is far from complete and not reliable in all respects. Further research has demonstrated that the identified problems and their consequences are typical for almost all industries where complex high-tech equipment is used, whether it is land, air, rail, river or sea transport, fuel and energy complex or agriculture. Our development will make it possible to fix this," said Roman Kuzin.
Roman Kuzin, Lead Engineer of the BAS MAI Center
According to him, the project increases the reliability and accuracy of the collected operational data, eliminates the risk of their loss, and reduces the number of errors in data entry related to the human factor. In addition, it is possible to automatically monitor the serviceability and forecast the use of the entire fleet of vehicles at once. The accuracy of the forecasts was confirmed during the tests of the system in one of the fleets of vehicles.
— During the tests, we combined all the collected data into one large synthetic parameter. Then they applied predictive analysis algorithms to it and said that at that time you would have failures. And they were. And then we can go from this general synthetic value to individual specific indicators and tell from them that you have a problem with oil pressure, bearing temperature, or other systems. But in order to more accurately determine the cause of the breakdown, we need to continue our research," said Roman Kuzin.
The system can be used not only to monitor the condition of UAVs, but also for any other technological equipment, he added.
The scope of the digital system
In the civilian sphere, the use of a system that analyzes the data coming from the UAV can be the key to its safe operation. And for use in the military sphere, it has a good foundation and prospects, said Sergey Kurapov, a researcher at the MGUTU named after K.G. Razumovsky. It is necessary to take into account the large number of stress factors that occur in the combat zone. Therefore, the system must have sufficient adaptability and flexibility and include the collection and systematization of intelligence obtained during the flight of the drone.
— The problem of drone repair and maintenance is acute at the front, workshops in the units are overwhelmed with work. Categorizing drones that are undergoing repairs or the type of necessary manipulations will significantly reduce the time for engineers, and will allow them not to forget anything, eliminating the human factor. Analysis of logs, telemetry and video signals from drones in a single platform will allow timely identification of the characteristics of new electronic warfare systems that the enemy may introduce on the front lines," he added.
Currently, the enemy is fighting the use of viruses that infect software in drones. Using an automated platform will make it possible to reflash drones automatically when software problems are detected and simplify the preflight preparation process in general, the specialist added.
Similar work is being carried out in the Russian Federation by drone manufacturers and third-party software developers, said Andrey Yablokov, Deputy General Director of Aeroscript Research Center, Aeronet Research Institute market expert. According to him, for such systems, it is necessary to establish the exchange of data on the operation of drones between themselves and the digital platform, as well as to support a variety of versions of drones of the same type and different manufacturers, including foreign ones.
According to Vitaly Munirov, CEO of Kursir and market expert at NTI Aeronet, in the field of unmanned aircraft, the system is relevant, rather, only for large operators, since they have a large fleet of aircraft.
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