An electronic valve module is usually included closed solenoid valves and relays. Measure the module uses an impeller hole flow sensor, which Connect to the counter of the control module in To collect and process the pulse signal Load cells continuous monitoring The bottle weight of saline and it will beis displayed on the LCD display, when it is reached An automatic message will be sent at the critical level Android Application of Hospital Staff[2, 3].
The load sensor is fixed on the saline hanger and a bottle is hung on it. This sensor converts the bottle weight changes at different voltages. The output voltage is given from the load sensorESP32 WIFI chip. Drip IV solution is pressurized Detected by a pressure sensor, connected to the motor Enhances control of dripping solutions, Wireless transfers are made from the patient's room Effectively nurse station using the nRF24L01 module. High-performance electro-hydraulic proportional valve controller is designed and developed using embedded-computers The technology of this controller is simplest culture, high quality and economical and Flexible operation. Collects the flow pulse signal from the valve Impeller hole flow sensor through load sensor. This will sense the weight load sensor Glucose and display edit and Sends data to hospital staff's Android app.
The specially fabricated RF tag can be attached to any kind of IV liquid package available on the market. Zhang et al. developed a novel RFID-Based intravenous infusion monitoring based on fork type light barrier as a sensor with Zigbee protocol, which helps in monitoring the velocity of IV system with high accuracy and reliability. Bhavsar et al. developed intravenous fluid monitoring system where load cell checks the level of the fluid by weighing the IV bag. Suggested a drip infusion of IOT Based Intravenous Infusion System where it consists of various infusion monitoring devices that helps in detecting the infusion rate and the collected data is send to the central monitor placed at the nurse station so that required action can be taken. Yananet a developed a health information alarm system using Bluetooth and GPRS technologies in which the system monitors, collects data and sends information to analyse counter using artificial intelligence developed a drip monitoring system based one electrical impedance[4, 5].
The electrodes used are in non-contact with the system which determines parameters of each fluid drop. Developed a Smart and Pervasive ICU system using Automatic Detection of risk situation and alert method consists of multi camera system and collaborative sensor Network which helps in real-time monitoring to the patients especially facing danger and chronic conditions. Rachman developed a monitoring system regarding patient infusion where laser photodiode is used. This sensor kit collects, process and fur-the sends data to Zigbee transmission device to display them in the form of GUI. Yadav and Jain developed real-time E-saline monitoring system where IR sensor used to detect drop rate, infusion capacity and servo meter used to control drip rate mechanism[5, 6]. From the above literature survey, it is clear that have used technologies like RFID, Zigbee, GPRS etc. for IV infusion monitoring. Further, IoT-based IV infusion monitoring and alerting system is very rarely seen in the literature. Keeping this in view point, IoT-based IV infusion monitoring and alerting system is designed[7].