10k ohm variable resistor or potentiometer.PIC16F887 microcontroller -> datasheet.Interfacing LCD with PIC microcontroller | MPLAB Projects To see how to interface PIC microcontroller with LCD module using MPLAB XC8 compiler, read the following post: The range = high level time x sound velocity / 2 where the sound velocity = 340M/S. Formula: uS / 58 = centimeters or uS / 148 =inch or: We can calculate the range through the time interval between sending trigger signal and receiving echo signal. The Echo is a distance object that is pulse width and the range in proportion. The timing diagram of the HC-SR04 ultrasonic sensor is shown below.įirst we have to supply the sensor trigger pin with a pulse of 10µs and the sensor will automatically send 8 cycles burst of ultrasound at 40 kHz and raise its echo pin. HC-SR04 ultrasonic sensor timing diagram: The HC-SR04 ultrasonic sensor module has 4 pins as shown in the image below where: The compiler used in this project is Microchip MPLAB XC8 (MPLAB X IDE with MPLAB XC8 compiler). This post shows how to make a simple distance meter using PIC16F887 microcontroller and HC-SR04 ultrasonic sensor. The HC-SR04 module includes ultrasonic transmitter, ultrasonic receiver and control circuit. Philippines, pp 50–57.The HC-SR04 ultrasonic sensor module can measure distances form 2 cm to 400 cm (4 m) with an accuracy of 3 mm. ĭelas Alas GR Jr, Padilla JN, Tanguilig BT III (2016) Intravenous piggyback infusion control and monitoring system using wireless technology. In: International federation of automatic control. Koval L, Vanus J, Bilik P (2016) Distance measuring by ultrasonic sensor. In: International conference on control, communication and materials, IEEE Xplore, Indore. Yadav S, Jain P (2016) Real-time cost-effective e-saline monitoring and control system. In: International seminar on intelligent technology and its applications. Rachman FZ (2015) Prototype development of monitoring system in patient infusion with wireless sensor network. In: International conference on bio-engineering and smart technologies. Īhouandjinou ASRM, Assogba K, Motamed C (2017) Smart and pervasive ICU based-IoT for improving intensive health care. In: 32nd annual international conference of the IEEE engineering and medicine biology society. Ogawa H, Maki H, Tsukamoto S, Yonezawa Y, Amano H, Caldwell WM (2010) A new drip infusion solution monitoring with a free-flow detection function. In: IEEE international conference on systems, man and cybernetics. Yanan F, Xinghua L, Huaizu L (2006) Real-time health information acquisition and alarm system based on Bluetooth and GPRS communication technologies. In: 34th annual international conference of the IEEE engineering in medicine and biology society. Īmanu H, Ogawa H, Maki H, Tsukamotu S, Yonezawa Y, Caldwell WM (2012) A remote drip infusion monitoring system employing Bluetooth. In: IEEE international conference on technological Innovations in ICT for agriculture and rural development TIAR. īhavasaar MK, Nithya M, Praveena R, Bhuvaneswari N, Kalaiselvi T (2016) Automatic intravenous fluid monitoring and alerting system. In: IET wireless sensor systems, China, pp 241–247. Zhang Y, Zhang SF, Wu GX, Ji Y (2011) Wireless sensor network-enabled intravenous Infusion monitoring system. In: 33rd annual international conference of the IEEE. Huang C-F, Lin J-H (2011) A warning system based on the RFID technology for running-out of injection fluid. It is possible to extend the work for private cloud of a nursing home or hospital to maintain secrecy. Thus, possible danger to the patient such as blood loss, back flow of blood due to negligence of nursing can be overcome by monitoring to fluid level and flow-rate. The proposed system can also be used to track the status anywhere wirelessly by Wi-Fi and Cellular systems. The system is built around the Texas Instruments CC3200, Ultrasonic sensor HC-SR04, LM35 temperature sensor, and GSM SIM900A. In this paper, a new design for IV bottle is suggested and a wireless sensor network -based liquid level and drop count measuring system is developed. Manual negligence in such a scenario may lead to the death of patient, in the worst case. Considering the case of patients fed with Intravenous fluids in Intensive Care Unit, it is essential to administer the flow rate and fluid level of gravity fed bottles in real-time, either by an attendant or duty nurse allotted to that bed. Health care organizations are adopting IoT Cloud with wireless sensor networks that is beneficial, especially when administering the condition of a greater number of patients and their resulting data storage are taken into account.
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