The year-round cultivation of plants in greenhouses requires strict adherence to technological standards, it is almost impossible without the use of automated technologies. The existing means under strong winter disturbing influences do not provide the necessary regulation of temperature parameters. One of the ways to overcome these shortcomings is the widespread use of the unmanned aerial vehicles to monitor the situation throughout the entire volume of the greenhouse. The aim of the work is to substantiate the method for planning the trajectory of the unmanned aerial vehicle flight in a complex conflicting environment. In this work, to synthesize the optimal trajectory of the UAV movement under the given conditions, we used the dynamic programming method with a generalized optimality criterion according to a nonlinear trade-off scheme. The problem of vector synthesis of optimal compromise trajectories of unmanned aerial vehicles in a conflict environment is considered to determine the technological parameters of an industrial greenhouse. The solutions to this problem are described by the method of multicriteria dynamic programming with the use of nonlinear compromise schemes. The use of the developed method for planning the unmanned aerial vehicle flight trajectory provides an order of magnitude reduction in the time spent on planning the trajectories of air robots and on determining the technological parameters of an industrial greenhouse. The development of a general technique for automating the determination of technological parameters of an industrial greenhouse using the unmanned aerial vehicle is the subject of further research.
Use of Drones in Industrial Greenhouses
2021-10-19
325597 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Industrial welding drones using object recognition sensors
Europäisches Patentamt | 2021
|British Library Conference Proceedings | 1997
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