Lighting control method and device
A lighting control and control part technology, applied in lighting devices, lighting device components, energy-saving control technologies, etc., can solve the problems of inability to realize lighting control, and achieve the effect of efficient automatic control
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no. 1 Embodiment approach
[0033] First, refer to figure 1 , the lighting control device 10 according to the first embodiment of the present invention will be described. figure 1 It is a block diagram showing the configuration of the lighting control device.
[0034] The lighting control device 10 is generally composed of an information processing device such as a server device and an industrial controller, and is a device that controls the lighting fixture Q installed in the R in response to the human detection result related to the target space R obtained by the human detection system 20 .
[0035] The human detection system 20 utilizes a plurality of infrared sensors SP composed of thermopile array sensors installed on the ceiling or wall of the target space R to detect thermal images (thermal maps) in R, and transmits the information from each person via the communication line L2. A general system that detects a person U present in R by searching a person area showing the surface temperature of a ...
no. 2 Embodiment approach
[0085] Next, the lighting control device 10 according to the second embodiment of the present invention will be described.
[0086] Generally speaking, there will be errors in the results of human detection, and there are two types of errors. That is, the error "some people think no one" and the error "no one thinks someone". In most cases, which tendency to set can be adjusted by adjusting parameters of the human detection method, for example, parameters related to the sensitivity of human detection determination.
[0087] The so-called "low-sensitivity human detection" is a human detection that is adjusted to slightly increase the error of "someone thinks there is no one". When it's time to adjust, in turn, the "no one thinks someone" error is reduced. On the other hand, the so-called "high-sensitivity human detection" is adjusted to slightly increase the error of "no one thinks there is someone". When it's time to adjust, in turn, the "someone thinks nobody" error is red...
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