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基于空间变换的图像型火灾探测器坐标定位方法 被引量:4

Coordinate Positioning Method Based on Spatial Transformation for Image-type Fire Detectors
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摘要 针对新研制的双波段红外视频火灾探测器进行火焰坐标定位研究。构建了双目摄像头空间变换模型,关联世界坐标系与成像坐标系相互变换,实现空间坐标定位逆向求解,并考虑非线性畸变和双目视差,根据探测要求近似定位火焰世界空间坐标位置。实验结果表明:基于该方法的双波段红外视频火灾探测器既能获取火源空间世界坐标值,又能及时响应火警,且响应小于10 s;分别在一级和二级防火操作试验下,试验定位坐标与实际坐标值对比结果为|ΔX|≤0.21 m,|ΔY|≤0.37 m,误差满足设计要求。该火灾探测器能满足火灾定位需求,又具有安防监控功能。 In this respect,the flame coordinate positioning method for the newly developed fire detector based on dual-band infrared video was investigated.At first,An imaging space transformation model of the binocular camera was constructed.It is associated with the world coordinate system and imaging coordinate system,to achieve conversion between them.The inverse solution of the spatial coordinate location is realized,and the nonlinear distortion and binocular parallax are taken into account to approximate locate the spatial coordinate position of the flame world according to the detection requirements at last.Experimental results show that the video fire detector based on proposed method not only locates the fire source in the world space coordinates,but also promptly responds to alarms,and response time is less than 10 s.Respectively in the primary and secondary fire operation test,the absolute errors between the test location coordinates and the actual coordinates are|ΔX|≤0.21 m,|ΔY|≤0.37 m.It meets the design requirements and national standard.It can satisfy the fire detector requirements of positioning.In the no fire cases,this fire detector can be used as security monitoring.
作者 陈学军 CHEN Xue-jun(School of Mechanical&Electrical Engineering,Putian University,Putian 351100,China;State Key Laboratory of Power Transmission Equipment and System Security and New Technology,Chongqing University,Chongqing 400044,China)
出处 《仪表技术与传感器》 CSCD 北大核心 2019年第11期122-126,共5页 Instrument Technique and Sensor
基金 福建省自然科学基金面上项目(2018J01511) 福建省高等学校新世纪优秀人才支持计划(2018047) 输配电装备及系统安全与新技术国家重点实验室访问学者项目(2007DA10512714406) 莆田市科技项目(2016G2021)
关键词 应用光学 变换 定位 畸变 视差 applied optics transformations position distortion parallax error
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