PREDICTIVE DAYLIGHT HARVESTING SYSTEM
    1.
    发明申请
    PREDICTIVE DAYLIGHT HARVESTING SYSTEM 有权
    预测式采光系统

    公开(公告)号:US20160007426A1

    公开(公告)日:2016-01-07

    申请号:US14792590

    申请日:2015-07-06

    Abstract: In an example, an expected sky condition is calculated for a geographic location, a time of day, and a date based on a mathematical model. A predicted distribution of direct and interreflected solar radiation within the environment is calculated based on the expected sky condition. Measurement data from one or more photosensors is obtained that provides measurements of an initial distribution of direct and interreflected radiation within the environment, including radiation from solar and electrical lighting sources. A target distribution of direct and interreflected artificial electromagnetic radiation produced by electrical lighting is determined, based on the measurement data and the predicted distribution of direct and interreflected solar radiation, to achieve the target distribution of direct and interreflected radiation within the environment. Output parameters are set to one or more devices to modify the initial distribution to achieve the target distribution of direct and interreflected radiation within the environment.

    Abstract translation: 在一个例子中,根据数学模型计算出地理位置,时间和日期的预期天空条件。 基于预期的天空条件计算环境中直接和反射的太阳辐射的预测分布。 获得来自一个或多个光电传感器的测量数据,其提供环境中的直接和反射辐射的初始分布的测量,包括来自太阳能和电光源的辐射。 基于测量数据和直接和反射太阳辐射的预测分布,确定电气照明产生的直接和反射人造电磁辐射的目标分布,以实现环境中直接和反射辐射的目标分布。 输出参数设置为一个或多个设备以修改初始分布,以实现环境内直接和反射辐射的目标分布。

    PREDICTIVE DAYLIGHT HARVESTING SYSTEM
    2.
    发明申请

    公开(公告)号:US20180242429A1

    公开(公告)日:2018-08-23

    申请号:US15960448

    申请日:2018-04-23

    Abstract: A predictive system and method thereof for indoor horticulture are disclosed. The method includes obtaining a set of input values identifying a geographic position of a physical structure enclosing an interior environment and a target distribution for environmental parameters for a selected plant occupant. The method further includes obtaining a virtual representation of the physical structure, and iteratively over time, updating the virtual representation based on actual plant growth or a predicted plant growth model for the selected plant occupant. The method further includes running a computational model to obtain a predicted distribution of the environmental parameters for the virtual representation, and determining a target distribution of artificially modulated environmental parameters. Based on the target distribution of the artificially modulated environmental parameters, the method includes setting output parameters for control devices to collectively control the actual distribution of the set of environmental parameters.

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