AUTOMATIC ROOM LIGHT INTENSITY DETECTION AND CONTROL USING A MICROPROCESSOR AND LIGHT SENSORS Ying-Wen Bai and Yi-Te Ku Department of Electronic Engineering, Fu Jen Catholic University Taipei, Taiwan, 24205, R.O.C. E-mail: bai@ee.fju.edu.tw ABSTRACT In this paper we propose a design using both a microprocessor and light sensors for automatic room light detection and control. Our design, the HLCM (Home Light Control Module) which will be installed in every light fixture of a family, is made up of four blocks: the pyroelectric infrared (PIR) sensor circuit, the light sensor circuit, the microprocessor and the RF module. By using the PIR sensor circuit, the HLCM detects if a human body enters the detection area or not. If there is no human body present, all controlled lights are turned off. If there is, the HLCM detects the light intensity under the environment and maintains sufficient light by controlling the number of lights. We have also integrated an RF module to transmit and receive the data from each HLCM so we can control different lights in different regions. The result of using the HLCM shows that the total power consumption can be reduced. Index Terms — Light Control, Microcontroller, Pyroelectric Detectors, Illumination Measurement 1. INTRODUCTION In recent years the energy crisis has become one problem which the whole world must confront. Home power consumption makes up the largest part of energy consumption in the world. In particular, the power consumption of lamps in a typical home is a factor which can’t be ignored. The typical user needs different light intensities in different places. Sometimes the light intensity from outside is sufficient for the user, and thus we don’t need to turn on any light. But sometimes the user leaves but forgets to turn off the light. These factors cause energy waste. Therefore some power management of light control in a home is necessary in order to save energy. Lights are usually controlled by on/off switches. Of course, the user can switch a light on or off remotely by connecting a specific device to a PC [1-4], but there has to be at least a PC, consuming a rather large amount of power 24 hours a day, for the control mechanism. Moreover, this inconvenient practice comes at a high cost for the user. In some designs one must install specific hardware and software to control the lights, resulting in unacceptable costs. Furthermore this type of system cannot detect either the temperature of the human body or the room light intensity [5-8]. In this paper we propose a design for automatic room light detection and control. As shown in Fig. 1, we install a low-power HLCM in every lamp in a typical home. The design detects whether someone is passing through the detection area not only by means of the PIR sensor in the HLCM but also by detecting the change of light intensity in a room by means of the light sensor in the HLCM. We also use the RF module to communicate among the HLCM to pre-control the lights. For example, when the room light intensity is not sufficient, all lights controlled by HLCM A are turned on. HLCM A will then send a signal to the nearby HLCM B to turn on a light controlled by HLCM B in order to increase the light intensity. Moreover, if someone goes from the kitchen to the living room, the HLCM in the kitchen notifies the HLCM in the living room to turn on the light in advance. By using our design one can achieve high efficiency in home power management. This paper is organized as follows. In Section 2 the HLCM is introduced. In Section 3 the light control in our design is presented. In Section 4 the implementation results are summarized. In Section 5 our conclusions are presented. HLCM RF HLCM RF HLCM RF HLCM RF RF HLCM RF HLCM RF HLCM Fig. 1 Room light intensity detection and control architecture and switching lights on/off by controlling the solid state relays (SSR) on/off. 2. DESIGN OF THE HLCM …… …… The HLCM shown in Fig. 2 is made up of the PIR sensor circuit, the light sensor circuit, the RF module and the lowpower MCU. We also provide a DC power supply from AC power to every component. Fig. 2 The circuit diagram of the HLCM We use the PIR sensor circuit to detect whether someone is passing through the detection area or not. If a human body enters the detection area, the PIR sensor receives the variations of the temperature made by the infrared energy emitted to the surroundings, and it necessary produces the variations of electric changes by means of a pyroelectric effect. Because the electric charges are very few and not easily sensed by the sensor, we adopt the high-impedance FET to pick up the signal. Since the output amplitude of the sensors we measure, about the level of mV, is too small and not large enough for an MCU, we have to amplify the output signal from the sensor with a sufficient quantity of two-stage high-gain amplifiers. Nevertheless, if the gain is very high, most tiny noises are amplified simultaneously and interfere seriously with the output signal. Therefore, in our design we have adjusted the value of both the resistance and capacitance so as not only to amplify the sensed signal and but also to restrain any noise resulting from the temperature variations. The RF module is specifically designed to connect to the MCU, thus allowing communication to be made among the HLCMs. The modulation of the RF communication is FSK, and the FM modulator works at 2.4GHz frequency and 2MKbps speed. The advantages of RF communication are the absence of extra connection wires and its low cost. We have used SSR to switch each light. SSRs have been utilized to replace mechanical relays because of their many advantages, like miniaturized configuration, little or no contact bounce, low energy consumption, decreased electrical noise, compatibility with digital circuitry and high-speed switching performance. These SSR also provide isolation between a control circuit and a switched circuit. The MCU in the HLCM has three functions as shown in Fig. 3: to support sufficient light intensity by ascertaining in which room the user is located, detecting the human body, Fig. 3 The control flowchart of the microprocessor 3. DESIGN OF THE HLCM 3.1. Light controlled by a HLCM As shown in Fig. 4, we install an HLCM at each light. The HLCM detects if a human body is present or not and it detects the light intensity; it switches each light on/off by controlling the SSR on/off to support sufficient light intensity. Fig. 4 Light controlled by an HLCM The HLCM measures the average light intensity supported by a light, which is 170 Lux, and the power consumption of a light, which is 80 Watts. When a user turns on all lights, the power consumption increases to 400 Watts. Because there are different levels of sufficient light intensity in different places, the number of lights switched on is different. In Table 1 we give examples from three different places. Table 1 Power saving in different places Room Sufficient light intensity Number of lights switched on by HLCM Power consumption Power saving Power saving (%) Living room Bathroom Study room 150 Lux 200 Lux 500 Lux 1 2 3 80 Watts 320 Watts 80% 160 Watts 240 Watts 60% 240 Watts 160 Watts 40% measured by the HLCM to make it similar to that measured by the digital light meter, as shown in Fig. 7. 3.2 The Communication among HLCMs As shown in Fig. 5, we use the RF module to transmit and receive the data from each HLCM in order to pre-control the lights and support sufficient light intensity. If the light intensity sources is not sufficient for the user when the all lights controlled by HLCM A are turned on, the HLCM A will ask the nearest HLCM B to turn on a light controlled by HLCM B to increase the light intensity. Pre-control means that if someone goes from the kitchen to the living room, the HLCM in the kitchen notifies the HLCM in the living room to turn on the light in advance. The communication format has four parts: the address of the HLCM (24 bits), the address of the light devices (5 bits), the status of light (3 bits) and the CRC (Cyclic Redundancy Check, 8 bits). Fig. 6 Picture of an HLCM Table 2 The average power consumption of the HLCM module 33 123 68 Operation Voltage (V) 3 5 5 Average Power Consumption (W) 0.099 0.615 0.34 35 5 0.175 38 5 Average Current (mA) Item RF MCU Relay Body Detection Light Detection Total 0.19 297 1.419 Value measured by our design Value measured by digital light meter 3000 Fig. 5 The message format for light control Illumination (Lux) 2500 2000 1500 1000 500 4. RESULTS OF THE EXPERIMENT 0 0 Fig. 6 shows the implementation of the HLCM. The hardware prototype circuit of the HLCM is now implemented on an 8 cm × 6 cm printed circuit board (excluding the SSR). The power consumed by the HLCM can be measured and calculated as shown in Table 2. We compare the change of the value of light intensity under the same environment between that measured by our design and the traditional design measured by a digital light meter. We place a digital light meter 200 cm below a light. Because the HLCM is adjacent to the light, as the light intensity measured by an HLCM is higher than that measured by a digital meter, we have to adjust the value 120 240 360 480 600 720 Time (Minutes) Fig. 7 Comparison of the light intensity measured by our design and that measured by a digital light meter As shown in Fig. 8, we measure the variations of light intensity of three modes for a long time under the same environment. The three modes are the change of light intensity in nature, the change of light intensity when we switch the light on/off by ourselves and the change of light intensity when we install the HLCM at the light. In our experiment we observe the light intensity when in user time; we do not observe the light intensity when in non-user time. Under natural conditions the room light intensity changes along with the outside environment. When we do the switching by ourselves there is one condition: When we switch all lights on because the environment is too dark or when we do not switch the lights off when just leaving for a short time, we maintain enough light intensity. When we switch the lights on/off by using the HLCM, the light intensity is the same as under natural conditions and it is maintained at over 500 Lux if there a user. When the user leaves the room or the light intensity is more than 1000 Lux, the light is turned off. The change of light intensity in nature The change of light intensity when we switch the lights on/off by ourselves The change of light intensity when we install the HLCM at the light 2500 Illumination (Lux) Sunny Cloudy Partly cloudy 2000 1500 Table 3 Comparison of our design with others Light Control Design Home Server Power Consumption Body Temperature Detection Light Control Cost Setup Pre-control Light Intensity Support Design 1 Needed 120 Watts Design 2 Needed 25 Watts Our Design Not Needed <1.5 Watts No No Yes No High Complicated No No No High Easy No No Yes Low Easy Yes Yes 1000 REFERENCES 500 0 0 User time 720 Non-user time 1440 User time 2160 Non-user time 2880 User time Non-user time 3600 4320 Time (Minutes) Fig. 8 The change of room light intensity under three modes In Fig. 9 we have compared the power consumption between switching the lights on/off by ourselves and using the HLCM. Our measurement confirms that energy is saved by using the HLCM. Power consumption (Watts) potential of the features of low cost, small size, low power consumption and power saving has been shown. Table 3, a comparison of designs, shows that our design consumes less power, and at a low cost. As a result, our design is better than others because it has more integrated functions. Sunny 250 Cloudy [2] A. Z. Alkar, and U. Buhur, “An Internet Based Wireless Home Automation System for Multifunctional Devices,” IEEE Transactions on Consumer Electronics, Vol. 51, pp. 1169-1174, Nov. 2005. [3] Yu-Ping Tsou, Jun-Wei Hsieh, Cheng-Ting Lin, and Chun-Yu Chen, “Building a Remote Supervisory Control Network System for Smart Home Applications,” IEEE International Conference on Systems, Man and Cybernetics, 2006, ICSMC '06, Vol. 3, pp. 1826-1830, Oct. 2006. Switching the lights on/off by ourselves Switching the lights on/off by using the HLCM 300 [1] Changseok Bae, Jinho Yoo, Kyuchang Kang, Yoonsik Choe, and Jeunwoo Lee, “Home server for home digital service environments”, IEEE International Conference on Consumer Electronics, 2003, Vol 49, pp. 1129-1135, Nov. 2003. Partly cloudy 200 150 100 50 0 0 720 1440 2160 2880 3600 4320 Time (Minutes) Fig. 9 Comparison of the power consumption of our design with that of other designs 5. CONCLUSIONS In this paper we have proposed a design for automatic room light detection and control. We install an HLCM at every light of a family for home power management. The HLCM detects if a human body is present or not by using the PIR sensor circuit. If there is no human body present, all lights are turned off. If there is, the HLCM then detects the light intensity under the environment by using the light sensor circuit and the system maintains sufficient room light by switching lights on/off. To realize light intensity support and light pre-control, the RF technology for light power management has been integrated. Consequently, the [4] A. R. Al-Ali and M. Al-Rousan, “Java-based home automation system,” IEEE Transactions on Consumer Electronics, Vol. 50, Issue 2, pp.498-504, May 2004. [5] Chia-Hung Lien, Chi-Hsiung Lin, Ying-Wen Bai, Ming-Fong Liu, and Ming-Bo Lin, “Remotely Controllable Outlet System for Home Power Management,” IEEE Tenth International Symposium on Consumer Electronics, 2006, ISCE/ 2006, pp. 7-12, June 28July 1, 2006. [6] A. Alheraish, “Design and implementation of home automation system,” IEEE Transactions on Consumer Electronics, Vol. 50, pp.1087-1092, Nov. 2004. [7] http://www.iaez.com [8] http://www.homeseer.com