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1 Introduction
Since the beginning of the 21st century, China's architecture has entered an era of intelligent and high development. New intelligent buildings and modern residential quarters have been unable to meet the requirements of higher standards in accordance with traditional lighting control methods. The traditional lighting method is simple, effective and intuitive, but it relies too much on the controller's personal ability, the control is relatively scattered and cannot be effectively managed, and its timeliness and automation are too low. Subsequent automatic lighting control mode solves the problems of traditional mode control relative dispersion and inability to manage effectively, and realizes the automation of lighting control, but it cannot realize the dimming control function.
At present, foreign products such as Nico's intelligent lighting control system can preset various scenes for lighting control, and are widely used in office buildings, hotels, stadiums, etc., but there are high prices, relatively complicated operations, and requirements for management personnel. Higher disadvantages. Domestic lighting intelligent control systems for residential communities and general public places are still rare.
In order to solve the traditional infrared + light sensor type lamp illuminance control system, there are many sensors, and the layout position is high, and the construction and wiring volume are large. This paper proposes the use of dynamic and static monitoring (infrared, voice control) + digital image. Illumination control method for information fusion. By performing the fusion processing on the acquired image information, the fused image is gray-scaled, and the gradation average value of each region is compared with the preset gradation value, thereby adjusting the scene illuminance.
2 Dynamic and static monitoring sensor data and CCD digital image information fusion technology
The block diagram of the control system for dynamic and static monitoring and CCD digital image information fusion technology in building intelligent lighting system is shown in Figure 1.
The basic principle is: to observe whether someone is walking by the motion and static detection technology, if no one is walking, turn off the illumination; if there is someone, analyze the collected digital images, and average the gray level of the image with various preset standard values. For comparison, the illuminance model of the environmental field is calculated. If it is within the error range allowed by the preset mode of the illumination system, no adjustment is needed, and vice versa.
Image fusion refers to the image of the same scene obtained by different sensors or the same scene obtained by the same sensor at different times. After denoising, time registration, spatial registration and resampling, a fusion technique is used to obtain one. The process of synthesizing images can overcome the limitations and differences of geometric, spectral and spatial resolution of single sensor images by merging multiple sensor images, improving image quality and facilitating physical phenomena and events. Position, identify and interpret. The specific process is shown in Figure 2.
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