Energy Reports (Sep 2022)

Research and implementation of high priority scheduling algorithm based on intelligent storage of power materials

  • Xin Jin,
  • LianSong Yu

Journal volume & issue
Vol. 8
pp. 398 – 405

Abstract

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The Smart Supply Chain technology has been gradually established and improved as a popular power system over different application fields, which raises the development of informatization and intelligence in intelligent warehouse management. Intelligent scheduling systems are eagerly required to standardize warehouse operation management and intelligently schedule inbound and outbound tasks, maximizing the rational use of intelligent devices and realizing the automation unmanned operations in actual scheduling situations. Since the scheduling algorithm is the key component of the intelligent scheduling system that acts as the most powerful tool adding automation and intelligence to electric power material storage, this paper studies the principle of the high-priority based scheduling algorithm carefully and proposes a novel data model based on the algorithm to improve the execution efficiency and performance of intelligent scheduling system. The superiority of the proposed algorithm is verified by its principle analysis and comparing with other state-of-the-art methods, ensuring that our algorithm is perfectly applicable in actual scheduling systems. Additionally, we design an efficiency scheduling system satisfying the needs of intelligent warehouse management, and further demonstrate our algorithm works well in realizing the automatic loading and unloading operation in the storage of electric power materials under unmanned condition with simulation experiments.

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