Along with the landing of Huangyu Chuan coal mine project, Skysys will take this as the characteristic case of drone mine inspection, continue to devote to let science and technology "fall to the ground", broaden the ability of drone mine inspection, guard people's life and property safety with the power of science and technology, promote the sustainable development of the industry by using AI intelligent technology, build the intelligent information service system of the mine with full-automatic patrol of the drone, and build the integrated, all-round, multi-mode full-automatic management system of the drone.
Skysys UAV creates one-stop service for multi-energy scenarios, significantly saves human resources, optimizes the inspection process, standardizes the inspection standards, and creates a full-process inspection system from production to output. In the future, Skysys will continue to penetrate into the new energy field, injecting the "cardiac needle" of UAV intelligent inspection into the new energy industry in accordance with the goal of "Carbon Peak and Carbon Neutral", and bringing new kinetic energy to the industrial innovation.
As a member in the drone AI intelligent identification, Skysys focuses on promoting the transformation and application of intelligent technology, expanding the diversity of the AI ecological platform, constructing a data-based decision-making chain, and providing fully automated, intelligent, and efficient operation and maintenance guarantees for all major inspection scenarios.
The award marks Skysys' progress in the field of new energy inspection by drones, and also heralds the increasingly close articulation of drones and AI artificial intelligence. In the future, Skysys will continue to comply with the national development trend, follow the clean energy development policy, promote production and benefit people's livelihood with drones, optimize the industry inspection mode with AI technology, and give emerging power to ensure the smooth output and stable supply of green and low-carbon energy.
With the landing of Skysys in agricultural production, it heralds that the drone has once again broadened its own application scope. Skysys will take this opportunity to continue to promote its own R&D strength and establish more adaptation scenarios for the construction and development of drones beyond digital agriculture.
Keeping up with the trend of the times and being the pioneer to meet the tide, we comprehensively expand the performance strength of drones and inject inexhaustible power for their application in the current digital transformation.
We will give full play to our capabilities in the fully automated drone industry, use "aerial thinking" to ensure the normal operation of PV sites, effectively improve the high quality management of the inspection process, and create more drone inspection solutions applicable to PV scenarios.
Skysys will continue to devote itself to the integration of drones and new energy applications to bring professional inspection solutions to more industries.
Integrating the momentum of "Dayu water management", optimizing the mode of water management through the nesting of technologies such as drones, hangars, Internet of Things, big data and artificial intelligence, and building an integrated supervision system of air, ground, cloud and end
With the development trend of information and intelligence of UAV business, big data analysis, intelligent image recognition and other technologies are well applied in the inspection work. In the future, it is believed that Skysys patrol will bring more convenient and efficient inspection methods to more power grid projects and continue to help the development of the power grid industry.
This also prompted Skysys to continue to follow the "double carbon" strategy and continue to promote the deep plowing of drones in the field of renewable energy to build a smart, automated and refined inspection system for the realization of the synergistic development of ecology and economy.
New applications of photovoltaic scenes, looking through the desert sand like snow!