Method, system, device and storage medium for camera equipment deployment and control optimization based on multi-objective optimization
A technology of multi-objective optimization and camera equipment, which is applied in the field of electric power inspection and safety supervision, can solve the problems of undiscussed cameras with limited viewing angles, poor monitoring coverage, and affecting the effect of deployment and monitoring, and achieve a camera deployment and control solution Effects of simplification, multi-objective, and complexity reduction
Active Publication Date: 2021-08-03
CHINA ELECTRIC POWER RES INST
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Problems solved by technology
[0005] It has the following problems: only the spherical field of view of the spherical machine is considered, and the more general-purpose bolt camera with viewing angle restrictions is not discussed, and it is impossible to construct a combination of multiple types of monitoring equipment; 2) The construction target is modeled as a uniform lattice , unable to reflect the occlusion relationship between targets, affecting the deployment and monitoring effect
Therefore, it is still impossible to realize the organic combination of multiple cameras, and at the same time, the monitoring coverage effect is poor
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[0037] refer to figure 1 According to the present invention, the camera equipment deployment and control optimization method based on multi-objective optimization comprises the following steps:
[0038] 1) Construct the physical environment of the area to be deployed and controlled;
[0039] refer to figure 2 , the specific operation process of step 1) is:
[0040] 1a) Mark the map construction attributes for the area to be controlled, and then mark the candidate control points on the map according to the marked results of the map construction properties, and then mark the targets to be monitored. The observation target area, the target area to be observed that does not block the monitoring field of view, the non-target entity area that blocks the monitoring field of view, and the non-target entity area that does not obviously block the monitoring field of view.
[0041] The specific process of step 1a) is:
[0042] For 2D maps
[0043] The specific process of labeling t...
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The invention discloses a method, system, device and storage medium for optimizing deployment and control of camera equipment based on multi-objective optimization, comprising the following steps: 1) constructing the physical environment of the area to be deployed and controlled; 2) forming multiple Camera deployment and control scheme; 3) Using the evaluation function to evaluate the multiple camera deployment and control schemes formed in step 2), and selecting the optimal camera deployment and control scheme for camera deployment and control, the method, system, device and storage medium can realize multiple cameras. Organic combination, and the effect of monitoring coverage at the same time is better.
Description
technical field [0001] The invention belongs to the technical field of electric power operation inspection and safety supervision business, and relates to a multi-objective optimization-based camera equipment distribution control optimization method, system, equipment and storage medium. Background technique [0002] At present, video surveillance has been widely used in power production and operation scenarios such as transmission lines, substations, distribution stations, and electric vehicle charging stations. For the layout of video monitoring points, quantitative geometric analysis and processing is usually used for a single or a small number of cameras. For the optimization problem of multiple cameras, the mainstream method is based on the minimum monitoring field of view covering as many observation target points as possible, combined with genetic optimization algorithm to solve the problem. Deployment control point configuration scheme. However, the current technolo...
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IPC IPC(8): G06F30/20G06F17/11G06F111/06
CPCG06F17/11G06F30/20G06F2111/06
Inventor 闫冬张中浩刘浩彭国政谈元鹏徐会芳
Owner CHINA ELECTRIC POWER RES INST