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Simulation method for automatic pushing function of CCTV monitoring scene of urban rail full-automatic operation system

An operation system and function simulation technology, applied in traffic control systems, closed-circuit television systems, traffic control systems of road vehicles, etc., can solve problems such as single viewing angle, unfocused viewing point, unsatisfactory monitoring video push, etc., to reduce labor costs Effects of labor intensity, efficient operation, and safe operation

Inactive Publication Date: 2021-01-29
CHENGDU YUNDA TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the limitations of the unmanned autonomous driving CCTV simulation scene in the prior art, such as single viewing angle, inability to highlight key points, and inability to dynamically push the optimal video, etc., resulting in unsatisfactory push of monitoring video by the unmanned automatic driving system center or CCTV simulation training terminal Problem, the purpose of the present invention is to provide a simulation method for the automatic push function of the CCTV monitoring scene of the urban rail automatic operation system, which can enable the dispatcher to observe the event scene intuitively and accurately through the CCTV

Method used

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  • Simulation method for automatic pushing function of CCTV monitoring scene of urban rail full-automatic operation system
  • Simulation method for automatic pushing function of CCTV monitoring scene of urban rail full-automatic operation system
  • Simulation method for automatic pushing function of CCTV monitoring scene of urban rail full-automatic operation system

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Embodiment 1

[0064] Embodiment 1: The automatic push function simulation method of the CCTV monitoring scene of the urban rail automatic operation system, such as figure 1 shown.

[0065] S101: Analyzing the monitoring video signal input from each viewpoint respectively, the camera monitoring viewing angle range AFO of the corresponding viewpoint, the monitoring distance MD of the distance event, and the fluency prediction POF are respectively analyzed to obtain the first analysis result, the second analysis result, and the third analysis result. Analyze the results and store the input data and analysis results;

[0066] S102: Create a viewing angle range membership function Y according to the first analysis result, the second analysis result, and the third analysis result AFO (x,a,b), monitoring distance membership function Y MD (y,c,d), fluency prediction membership function Y POF (z,e) three membership functions; Y AFO (x,a,b) available Y AFO (x) indicates that Y MD (y,c,d) availa...

Embodiment 2

[0121] Embodiment 2: Taking a fire scene on a platform as an example for illustration, a fire scene occurs, and multiple cameras at different viewpoints on the scene receive fire video push instructions. This example assumes that two monitoring video signals L1 and L2 are received.

[0122] Assuming that the viewing angle of each camera’s monitoring range is θ=120゜, the angle between the event center position of the signal L1 and the sideline of the camera’s viewing angle range г 1 =60゜, the included angle of the event range S1=45゜, at this time the input data volume is 2kbit; the included angle г between the event center position of the signal L2 and the sideline of the camera viewing angle range 2 =30゜, the included angle of the event range S2=90゜, and the amount of input data is 3kbit.

[0123] After calculation, we know that Ф(г1)=0, D(S1)=84, y n+1 =2.31kbit; similarly, Ф(г2)=0.5, D(S2)=674.25, y n+1 =2.10kbit. Through preliminary comparison, it can be seen that Ф(г1)...

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Abstract

The invention discloses a simulation method for an automatic pushing function of a CCTV monitoring scene of an urban rail full-automatic operation system, and relates to the technical field of unmanned automatic driving simulation. The method comprises the steps: analyzing the monitoring video signal input by each viewpoint, analyzing three elements, including a camera monitoring visual angle range AFO of a corresponding viewpoint, a monitoring distance MD of a distance event and a smoothness prediction POF; creating a visual angle range membership function YAFO (x, a, b), a monitoring distance membership function YMD (y, c, d) and a fluency prediction membership function YPOF (z, e) according to an analysis result; establishing a comprehensive membership function through the three-elementweight coefficient and the membership function, and calculating comprehensive membership degrees of different viewpoint input monitoring video signals; and pushing the optimal monitoring video to anunmanned automatic driving system center or a CCTV simulation training terminal according to the comprehensive membership degree. According to the method, the labor intensity of workers can be greatlyreduced, the safe operation of the unmanned automatic driving system is ensured, and the operation and system emergency processing level is improved.

Description

technical field [0001] The invention relates to the technical field of unmanned automatic driving simulation technology, more specifically, it relates to a method for automatically pushing function simulation methods for CCTV monitoring scenes of an urban rail automatic operation system. Background technique [0002] In recent years, with the rapid development of urban rail transit and the acceleration of urbanization, urban rail transit has become the artery of urban economic development. With its unique advantages of safety, large capacity, speed, punctuality and comfort, It is loved by the general public, and the development of safe, reliable and efficient urban rail transit has become a new trend. [0003] The adoption of a fully automatic unmanned driving system with advanced technology, stable performance, and efficiency priority has become an urgent need for China's rail transit construction. The unmanned automatic driving system can reduce human operations, improve ...

Claims

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Application Information

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IPC IPC(8): H04N7/18G08G1/0967G08B17/12
CPCG08B17/125G08G1/096725H04N7/181
Inventor 李跃宗冉鹏雯叶乐怡章磊黄成周谢思建曾理王坤
Owner CHENGDU YUNDA TECH CO LTD