Indoor scene unified control platform based on big data collection and analysis

Abstract

The invention relates to an indoor scene uniform control platform based on big data collection and analysis. The indoor scene uniform control platform comprises a permanent magnetic brushless motor, an MMC memory card and rotary shooting equipment, the permanent magnetic brushless motor is used for being connected with all curtain winding mechanisms corresponding to windows in an indoor scene andachieving control over all the curtain winding mechanisms, and the MMC memory card is used for memorizing window serial numbers of all the windows in the indoor scene in advance and the correspondingrelations of all the window serial numbers and the azimuthal angles. The windows in the indoor scene and curtains on the windows share the same window serial numbers. The rotary shooting equipment comprises a protection cover, a power supplying unit, an automatic heat dissipating unit, a temperature detecting unit and a rotating imaging unit, the rotary imaging unit conduct real-time imaging on the indoor scene in a direction angle changeable mode so as to obtain and output direction angle images, wherein the direction angle evenly varies with time from 0 degree to 360 degrees. Through the indoor scene uniform control platform, self-adaption winding control over the curtains corresponding to the indoor windows can be completed, so that the proper environment brightness is provided for theindoor space.

Description

technical field

[0001] The invention relates to the field of big data, in particular to an indoor scene unified control platform based on big data collection and analysis. Background technique

[0002] In order to continuously cope with new security challenges, enterprises and organizations have successively deployed firewalls, security gateways, intrusion detection and protection systems, vulnerability scanning systems, anti-virus systems, terminal management systems, etc., to build up a series of security defense lines. However, these complex IT resources and their security defense facilities continuously generate a large number of security logs and events during operation, resulting in exponential growth of security data, which presents a large-scale, high-latitude, high-noise, and high-complexity characteristics, resulting in the phenomenon of "dimension disaster". It poses new challenges to the computing power and real-time requirements of the traditional security info...

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