location:Home > 2026 Vol.9 Feb.N01    > Application of Multi-Sensor Fusion and Big Data Analysis in Intelligent Decision-Making for Ultra-Narrow-Body Mountain Spray Veh

2026 Vol.9 Feb.N01   

  • Title: Application of Multi-Sensor Fusion and Big Data Analysis in Intelligent Decision-Making for Ultra-Narrow-Body Mountain Spray Veh
  • Name: Jing Zhang , XinCheng Xiong , Yu Hong Qi* ,DongLin Zhang
  • Company: Mechanical and Electrical Engineering School,Zhengzhou Business University ,GongYi,451200,China
  • Abstract:

    Intelligent decision-making methods for spray vehicles predominantly rely on single-sensor data for environmental perception and historical data models for decision implementation. However, the limited accuracy of single sensors in complex mountainous environments compromises decision scientificity. This paper proposes the application of multi-sensor fusion and big data analysis in intelligent decision-making for ultra-narrow-body mountain spray vehicles.By integrating data from multiple sensors, including LiDAR and visual sensors, comprehensive information on mountain terrain and spray vehicle posture is obtained. Federated Kalman filtering is employed to fuse multi-sensor data, with perception data integrated through operations such as local filtering and global fusion. Core features adapted to the ultra-narrow body are extracted from the fused state vector. An operational value model is constructed based on historical task data to measure the benefits of decisions under different states.A reinforcement learning model is constructed to dynamically output optimal decisions tailored to mountainous scenarios, with decision strategies iteratively optimized through operational feedback. Experimental validation confirms the scientific rigor of the proposed method. Comparative test results demonstrate that when applied to spray vehicle decision-making, the average spray coverage stabilizes at approximately 70%-80%, achieving highly satisfactory decision- .


  • Keyword: Multi-sensor fusion; Big data analysis; Ultra-narrow chassis; Mountain spray vehicle; Intelligent decision-making;
  • DOI: 10.12250/jpciams2026090215
  • Citation form: Jing Zhang ,XinCheng Xiong,Yu Hong Qi,DongLin Zhang .Application of Multi-Sensor Fusion and Big Data Analysis in Intelligent Decision-Making for Ultra-Narrow-Body Mountain Spray Vehicles[J]. Computer Informatization and Mechanical System,2026,Vol.9,pp.
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