The Proceedings of the International Conference on Nuclear Engineering (ICONE)
Online ISSN : 2424-2934
2023.30
Session ID : 1641
Conference information

CONSTRUCTION OF DYNAMIC DETECTION FIELD FOR PPS EFFECTIVENESS ANALYSIS IN 3D MODELING ENVIRONMENT
Haoming MaJun YangYubin LiuDingkun LiWenke Mao
Author information
CONFERENCE PROCEEDINGS RESTRICTED ACCESS

Details
Abstract

In the paper, a simulation method is proposed for generation of dynamic detection field of PPS system in 3D modeling environment. Within the method, the 3D models of securitycritical infrastructures are built based on the Autodesk 3ds MAX and Unity real-time development platforms. The detection field is generated based on the scene 3D models. According to the steps of the ASD method, the elements included in the sequence diagram of the PPS system of a sample facility are assigned. The focuses of the paper are put on two parts: 1) construction of dynamic detection field in line with the PPS design with rotating security cameras; 2) calculation of the cumulative detection probability of multiple adversary paths elaborated in 3D models for PPS effectiveness analysis. The 3D visualization of detection field is then created by taking into account the additive effects of both stationary and rotating sensing elements. The cumulative detection probabilities of adversary paths are comparatively estimated in both static and dynamic detection fields for the most vulnerable path identification. The simulation results shows that the 3D dynamic detection fields and probability methods of their construction by considering the agent’s activities and camera rotation can be readily implemented in 3ds MAX and Unity platform. The regional blind spots for adversary intrusion detection can be also discovered by the simulation exercise practice tests on active and intentional avoidance behaviors (attack strategies) of adversaries in dynamically coupled detection filed.

Content from these authors
© 2023 The Japan Society of Mechanical Engineers
Previous article Next article
feedback
Top