CN114023034A - 基于可见光与红外监测的电动车充电监控系统 - Google Patents
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Abstract
本发明公开了一种基于可见光与红外图谱的电动车充电监控系统，包括智能视频分析模块，用于实时捕捉电动车图像，并对图像进行分析处理，分离场景中背景和目标，识别出真正的目标，去除背景干扰，分析并追踪场景内出现的目标行为；红外监测模块，用于获取所述电动车充电装置的红外图像，根据所述红外图像确定所述待检测电动车充电装置的环境温度以及所述待检测电动车充电装置的本体温度；实时监测模块，用于监测电动车充电装置温度与环境温度的差值，根据环境温度以及本体温度确定待检测电动车充电装置的温度梯度差。本发明可见光摄像机视频处理技术与热成像技术相融合，实现了测温预警型网络热成像，能有效地监测电动车充电过程、保障充电安全。
Description
技术领域
本发明涉及电力检测技术领域，特别涉及一种基于温度梯度的电动车充电装置状态检测装置。
背景技术
近年来，随着电动车越来越普及，并且由于人们安全意识较为薄弱，出现大量电动车楼道内乱拉线充电现象，进而引发多起火灾，给人们的生命财产安全造成威胁。目前，防止这种现象主要依靠于监控视频，管理人员无法及时发现这种现象并进行处理。随着机器学习技术的发展，智能视频分析技术和红外测温技术向着智能化、自动化方向发展。智能视频技术借助处理器的强大计算功能，对视频画面中的海量数据进行高速分析，获取人们需要的信息。智能视频分析依赖于视频算法对视频内容进行分析，通过提取视频中关键信息，进行标记或者相关处理，并形成相应事件和告警的监控方式，人们可以通过各种属性描述进行快速检索，对楼道电动车充电现象实现规范化处理。
发明内容
本发明的发明目的在于：为了解决现有技术中电动车充电而引发火灾，电动车充电过程无法监测，无法保障充电安全等问题，提供一种基于可见光与红外图谱的电动车充电监控系统。
鉴于此，本发明采用的技术方案如下：
智能视频分析模块，用于实时捕捉电动车图像，并对图像进行分析处理；
红外监测模块，用于获取所述电动车充电装置的红外图像；
实时监测模块，用于监测电动车充电装置温度与环境温度的差值，进一步确定温度梯度差。
进一步，所述实时捕捉电动车图像采用智能跟踪球机实现，智能跟踪球机自动识别视觉范围内物体运动的方向，并控制云台对移动物体进行追踪。
进一步，所述对图像进行分析处理包括分离场景中背景和目标，对目标进行识别，去除背景干扰，进而分析并追踪在摄像机场景内出现的目标行为。
进一步，所述红外监测模块采用CCD对电动车进行热红外成像，从而反映出物体表面的温度场。
进一步，所述实时监测模块，根据所述红外图像确定待检测电动车充电装置的环境温度以及待检测电动车充电装置的本体温度；根据所述环境温度以及所述本体温度确定待检测电动车充电装置的温度梯度差；所述温度梯度差为待检测电动车充电装置处的温度梯度Ef1与待检测电动车充电装置的预设检测点的温度梯度Ef2的差值。所述Ef1和Ef2满足以下公式：
其中，T1为待检测电动车充电装置处的表面温度，T2为待检测电动车充电装置的预设检测点的表面温度，Tamb为环境温度，h为待检测电动车充电装置表面的对流换热系数，λ为待检测电动车充电装置本体材料的导热系数，Ef1为待检测电动车充电装置处的温度梯度，Ef2为待检测电动车充电装置的预设检测点的温度梯度。
进一步，上述方案中还包括报警模块，当待检测电动车出现乱拉线充电行为或者充电装置处的温度梯度Ef1与待检测电动车充电装置的预设检测点的温度梯度Ef2的差值大于预设值时，进行报警。
综上所述，由于采用了上述技术方案，本发明的有益效果是：
将可见光摄像机视频处理技术与热成像技术相融合，实现了测温预警型网络热成像，使热成像测温与网络监控相结合，延伸了大安防的概念，解决了可针对人、也可针对物的监测，通过直观可视化手段连续监测物的温度变化，做到量变到质变的提前预警，防患于未“燃”，使之成为物联网时代的重要监测手段。
附图说明
图1是实现对楼道内电动车充电监测的流程图。
具体实施方式
智能自动跟踪球机主要应用于楼道出入口跟踪，利用高速DSP芯片对图像进行差分计算，可自动识别视觉范围内物体运动的方向，并自动控制云台对移动物体进行追踪。再辅以自动变焦镜头，目标物体在进入智能跟踪球机视线范围内直至离开的这段时间里，物体所有动作将以特写的形式清晰地传往监控中心。在实际使用中，当电动车目标进入球机的用户设置的楼道检测区域并触发行为分析规则，智能分离场景中背景和目标，识别出真正的目标(电动车)，去除背景干扰，进而分析并追踪在摄像机场景内出现的目标行为，系统自动产生报警，球机放大并持续跟踪报警目标。
当智能自动跟踪球机检测到电动车开始充电后，红外监测模块开始工作。由于黑体辐射的存在，任何物体都依据温度的不同对外进行电磁波辐射，波长为2.0～1000微米的部分称为热红外线，热红外成像通过对热红外敏感CCD对物体进行成像，能反映出物体表面的温度场。热成像技术是唯一一种可将热信息瞬间可视化并加以验证的诊断技术。热成像摄像机通过对非接触探测到的热能加以量化，能准确测量被摄物体表面温度，通过对被摄场景的热能分布和温度分析，实现对环境或物体的异常诊断。可追踪场景或区域高温目标，当温度高于设定值时可发出报警。
根据所述红外图像确定所述待检测电动车充电装置的环境温度以及所述待检测电动车充电装置的本体温度；根据所述环境温度以及所述本体温度确定所述待检测电动车充电装置的温度梯度差；所述温度梯度差为所述待检测电动车充电装置处的温度梯度Ef1与所述待检测电动车充电装置的预设检测点的温度梯度Ef2的差值；
所述环境温度和温度梯度满足以下公式：
其中，T1为待检测电动车充电装置处的表面温度，T2为待检测电动车充电装置的预设检测点的表面温度，Tamb为环境温度，h为待检测电动车充电装置表面的对流换热系数，λ为待检测电动车充电装置本体材料的导热系数，Ef1为待检测电动车充电装置处的温度梯度，Ef2为待检测电动车充电装置的预设检测点的温度梯度。
当待检测电动车出现乱拉线充电行为或者充电装置处的温度梯度Ef1与待检测电动车充电装置的预设检测点的温度梯度Ef2的差值大于预设值时，进行报警。
热成像摄像机能够接收物体发出的红外线，将人眼不能直接看到的目标表面温度分布情况，通过有颜色的图片来变成人眼可以看到的代表目标表面温度分布的热图像，通过对温度场的监控，可根据温度的微小差异来找出温度的异常点，预防由于温度异常引发的隐患。
Claims (7)
1.基于可见光与红外图谱的电动车充电监控系统，其特征在于，包括：智能视频分析模块，用于实时捕捉电动车图像，并对图像进行分析处理；
红外监测模块，用于获取所述电动车充电装置的红外图像；
实时监测模块，用于监测电动车充电装置温度与环境温度的差值。
2.根据权利要求1所述基于可见光与红外图谱的电动车充电监控系统，其特征在于：所述实时捕捉电动车图像采用智能跟踪球机实现，智能跟踪球机自动识别视觉范围内物体运动的方向，并控制云台对移动物体进行追踪。
3.根据权利要求1所述基于可见光与红外图谱的电动车充电监控系统，其特征在于：所述对图像进行分析处理包括分离场景中背景和目标，对目标进行识别，去除背景干扰，进而分析并追踪在摄像机场景内出现的目标行为。
4.根据权利要求1所述基于可见光与红外图谱的电动车充电监控系统，其特征在于：所述红外监测模块采用CCD对电动车进行热红外成像，从而反映出物体表面的温度场。
5.根据权利要求1所述基于可见光与红外图谱的电动车充电监控系统，其特征在于：所述实时监测模块，根据所述红外图像确定待检测电动车充电装置的环境温度以及待检测电动车充电装置的本体温度；根据所述环境温度以及所述本体温度确定待检测电动车充电装置的温度梯度差；所述温度梯度差为待检测电动车充电装置的温度梯度Ef1与待检测电动车充电装置的预设检测点的温度梯度Ef2的差值。
6.根据权利要求5所述基于可见光与红外图谱的电动车充电监控系统，其特征在于：所述Ef1和Ef2满足以下公式：
其中，T1为所述待检测电动车充电装置处的表面温度，T2为所述待检测电动车充电装置的预设检测点的表面温度，Tamb所述环境温度，h是所述待检测电动车充电装置表面的对流换热系数，λ是所述待检测电动车充电装置本体材料的导热系数，Ef1为所述待检测电动车充电装置处的温度梯度，Ef2为所述待检测电动车充电装置的预设检测点的温度梯度。
7.根据权利要求1-6任一项所述基于可见光与红外图谱的电动车充电监控系统，其特征在于：还包括报警模块，当待检测电动车有乱拉线充电行为或者充电装置处的温度梯度Ef1与待检测电动车充电装置的预设检测点的温度梯度Ef2的差值大于预设值时，进行报警。
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