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APPARATUS AND METHOD FOR MEASURING AND PREDICTING SCATTERING DUST BASED ON ARTIFICIAL INTELLIGENCE

机译:基于人工智能的散射尘测量与预测装置及方法

摘要

According to the present invention, an apparatus for measuring and estimating road dust mainly generated in a raw material yard and a process of conveying raw material comprises: a weather element inspecting member which measures wind speed, solar radiation, atmosphere pressure, and temperature and humidity of ground or air of a measurement target area; a dust flow duct inspecting member which measures suspended matters that affect visibility of the measurement target area or amount of induced charge of the suspended matters; a work element inspecting member which inspects surface temperature of vibration, noise, raw material, and raw material yard by work activities generated in the ground of the measurement target area; a true value inspecting and collecting member which compares data obtained from the weather inspecting member, the dust flow duct inspecting member, and the work element inspecting member to learn; a facility operation inspecting member which may understand an operation status of a reduction facility; a data managing server which may collect and store data from the inspecting members and the collecting member; and a data analysis unit which has an artificial intelligence software, is associated with the data managing server, calculates current road dust concentration based on an artificial intelligence algorithm, estimates a future generation amount of road dust, and suggests a set operation value of the reduction facility. According to the present invention, through data analysis based on an artificial intelligence algorithm and site obtained data reinforcement learning as a method for calculating fine dust concentration, generation of fine dust may be estimated.
机译:根据本发明,一种用于测量和估计主要在原料场中产生的道路扬尘的设备以及原料的输送过程包括:天气元件检查部件,其测量风速,太阳辐射,大气压力以及温度和湿度。测量目标区域的地面或空气;灰尘流道检查构件,其测量影响测量目标区域的可见性或悬浮物的感应电荷量的悬浮物;工作元件检查部件,其通过在测量对象区域的地面上产生的作业活动来检查振动,噪音,原料和原料场的表面温度。真值检查和收集部件,其比较从天气检查部件,灰尘流道检查部件和工作元件检查部件获得的数据以进行学习;可以了解还原设施的操作状态的设施操作检查部件;数据管理服务器,可以从检查成员和收集成员收集并存储数据;与数据管理服务器相关联的具有人工智能软件的数据分析单元,其基于人工智能算法计算当前道路尘埃浓度,估计未来道路尘埃产生量,并提出减少量的设定运行值设施。根据本发明,通过基于人工智能算法的数据分析和现场获得的数据强化学习作为用于计算微尘浓度的方法,可以估计微尘的产生。

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