Three dimensional grid model of airspace resources based on Beidou grid code

Shu, Ping; Zheng, Yinger; Shi, Hongfang; Liu, Shaozhe; Sun, Huabo; Zhou, Xiuting

doi:10.1109/iccasit53235.2021.9633614

Cited by 3 publications

(1 citation statement)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With the increasingly complex industrial structure and service types of the power system, the precision of timing, positioning, and information transmission has an increasingly prominent impact on the services in the power system, such as load control, distribution automation, and precise regulation. Low latency and high precision are basic guarantees for the safe and stable operation of power system services [4][5][6][7][8]. However, due to the massive number of power system devices nowadays, the accumulated clock deviation can reach several minutes or even hours, which will seriously affect the normal operation of power system services [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

High-Precision Timing Method of BeiDou-3 System Based on Reinforcement Learning

Dai

et al. 2022

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

All aspects of smart grid operation require precise timing technology to improve the timeliness and precision of the network. However, due to the complex and time-varying network environment and the low precision of device timing, the existing timing technology cannot meet the timing precision required by smart grid services. Therefore, according to the multi-armed bandit (MAB) theory and the upper confidence bound (UCB) algorithm, this paper proposes a high-precision timing method for power transmission and distribution park named adaptive timing-aware upper confidence bound (AUCB). The long-term average reward is maximized based on local information and historical decision-making experience. The simulation results show that the proposed high-precision timing method of AUCB in the power transmission and distribution park can effectively improve the device timing precision and realize self-adaptive timing for power system devices.

show abstract

Section: Introductionmentioning

confidence: 99%

High-Precision Timing Method of BeiDou-3 System Based on Reinforcement Learning

Dai

et al. 2022

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

GIS-Based Spatial Patterns Analysis of Airspace Resource Availability in China

Yang

et al. 2022

Aerospace

View full text Add to dashboard Cite

Identifying the factors influencing airspace resources, quantifying the availability of airspace resources, and mastering their spatial distribution characteristics are the cornerstone of scientific and efficient airspace management. Therefore, this paper investigates the impact of prohibited, restricted, and dangerous areas (PRDs) on airspace resource availability from a traffic flow perspective, proposes a multi-layer network model, and establishes a flow-based sector resource availability (FSRA) calculation model. The FSRA in mainland China is calculated above the standard pressure altitude of 6000 m. The results show that the FSRA is lower when the sector is determined to have a higher PRD density, a more complex traffic flow pattern, and a more sophisticated interaction between the two. China’s mainland airspace is separated into three altitude ranges along the vertical direction according to the FSRA and sector distribution: 6000–7800 m, 7800–8900 m, and 8900–12,500 m. The spatial distribution characteristics of the FSRA are addressed using the ArcGIS software. The results demonstrate that spatial autocorrelation is exhibited for all three altitude ranges. The high–high cluster pattern mainly occurs in the western part of mainland Chinese airspace, while the low–low cluster pattern is distributed in the southeast. The three altitude ranges are divided into three groups, respectively, and suggestions for airspace management are made for each group.

show abstract

Clustering Method of Large-Scale Battlefield Airspace Based on Multi A * in Airspace Grid System

Cai

Wan

Jiao³

et al. 2022

Applied Sciences

View full text Add to dashboard Cite

Aiming at the problem of the wide range and great difficulty in the future of battlefield airspace control, based on the unique advantages of an airspace grid system in an airspace grid representation and time–space binary computing, this paper designs a pre-clustering method for mission airspace based on airspace location correlation under the condition of future large-scale air combat missions in order to realize the block control of battlefield airspace. This method reduces the whole 3D battlefield space projection to a 2D plane and regards the task airspace projection as “obstacles” in the task area; Multi-A * algorithm is used to generate the airspace clustering line surrounding the task airspace, and the airspace association clustering problem is transformed into a multiple “start point-end point” path planning problem with autonomous optimization. Through the experiment, it was found that clustering the airspace can effectively improve the management and control efficiency of large-scale battlefield airspace.

show abstract

Three dimensional grid model of airspace resources based on Beidou grid code

Cited by 3 publications

References 2 publications

High-Precision Timing Method of BeiDou-3 System Based on Reinforcement Learning

High-Precision Timing Method of BeiDou-3 System Based on Reinforcement Learning

GIS-Based Spatial Patterns Analysis of Airspace Resource Availability in China

Clustering Method of Large-Scale Battlefield Airspace Based on Multi A * in Airspace Grid System

Contact Info

Product

Resources

About