Technology

Russia is developing a SI -Switcher System to Manage drone: What is it dangerous

Each drone in such a group will be able to send a large amount of information to the aggregator server, ranging from the identified objects and their characteristics and ending with remote video information. The Russian Joint Aviation Corporation has received a patent on the method of managing a group of unmanned aerial vehicles using one pilot operator using artificial intelligence technologies. TASS wrote about it on Tuesday, December 19.

The use of this method involves the presence of a server-aggregators and artificial intelligence aboard a manned aircraft to create programs for individual UAVs or UAV groups. The information collected from the UAV is processed on the aggregator server, which allows to synthesize a single tactical information field and a program for a group or individual UAV.

Each drone transfers a large amount of information to the aggregator, starting with its position, height and speed and ending with video information in optical and infrared ranges. The system recognizes and analyzes the objects of interest, and forms an assessment of the fulfillment of the conditions of flight of grooved UAVs. Management algorithms should take into account external factors, threats, malfunctions and damage, and make decisions depending on the current situation.

For this purpose, artificial intelligence methods are used based on neuro -based networks, which make it possible to solve specific tasks. The news agency, referring to the technical document received at disposal, writes that significant computing resources that can be provided with neuroprocessors are required to use such technologies. Neural processors in aviation equipment should work in external factors, so you need to create computing complexes with neuroprocessors for aviation.

TASS notes that this opens up opportunities for further development of aviation technologies and the introduction of more efficient control systems for unmanned aerial vehicles. A single -pilot version of the aircraft can be used as part of a network -centered combat system that combines manned and unmanned devices. The use of artificial intelligence methods makes it possible to provide a comprehensive analysis of the situation and rapid decision making in real time.

The use of neurotrants makes it possible to solve complex problems, taking into account different factors and conditions. The promising area of ​​use of UAV is their group or swarm. The principle of swarming is inspired by insects. In the case of drones, when they gather in a swarm, each drone controls its own automatics, and the behavior of swarm is controlled by a program containing elements of artificial intelligence, or by one (or several) operators.

Obvious use - increased reliability/viability of intelligence/target/attack systems by increasing the number of drones involved in intelligence, targets and target attacks. Air defense systems can be "overloaded" by the number of goals and will not be able to prevent drones from performing their tasks. Even civilian drones, united in swarms, can be a threat to the purposes - from the muffling of radars to discharge on the enemy of small ammunition.

UAV swarms can also be used to effectively search for missing people and property and conduct "parallel" searches in large areas. Groups (swarms) of UAVs can be effective in counteracting enemy UAV swarms. Appropriate experiments have been conducted in the United States since 2017. Thus, during military exercises in California, on September 11, 2022, the US Army raised 40 small quadcopters to demonstrate their combat capabilities.

Quadcopters were equipped with cameras, combat chambers and several integrated laser lesions (Miles) to track the wounded during a training combat. In addition, the same year the British army successfully tested the technology "swarms of drones". Miniature flying devices were used in Salisbury. Working in the swarm, each drone had to perform an individual task. As part of the experiment, British servicemen protested two swarms. The first system was called "Atlas".

In it, one operator managed four UAVs using a tablet computer. The operator could alternate drones for individual missions. The Elbit system managed six UAVs, programming autonomous missions. This made it possible to direct the entire swarm of drones to accomplish one task, as well as to entrust each UAV. Salisbury experiments showed that one operator can easily control six drones. We will remind, earlier we wrote that in Russia boasted the technology of charging combat drones in the air.

Low charge UAVs will wait for the drone, hanging in the air. Russian scientists believe that this is a very effective method for the military. And in July, it became known that Zala Aero created a special container installation for the drones of Lancet, which allows to attack Ukraine at once with a whole swarm of drones.