设计一个监控事物互联网的水纤维化参数(很多)使用覆盆子PI

Mardian Peslinof, M. F. Afrianto, Yoza Fendriani, Benedika Ferdian Hutabarat
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摘要

在本研究中,利用树莓派设计了一个基于物联网(IoT)的水物理参数监测系统。该系统监测的参数有pH值、水温、水浊度和水位。这些参数对于确定水质和水量水平至关重要。传感器类型为温度传感器DS18B20,浊度传感器SEN0189,水pH传感器SEN0161,水位触发超声波传感器HCSR04。软件系统是一个嵌入在树莓派微处理器中的程序。监测系统的工作机制是对传感器的物理参数进行检测。来自传感器的信号结果将通过树莓派进行处理。处理后的数据存储在可以通过网络访问的服务器上。监测系统的工作机制是,系统对传感器的物理参数进行检测,通过树莓派对传感器产生的信号进行处理,处理后的数据存储在服务器上,可以通过web访问。系统对pH、浊度、温度和水位等参数的灵敏度分别为52.715 mV/pH、0.0005 V/NTU、0.0255 V/°C和0.0583毫秒/cm。在系统测试中获得的准确率平均为96.86% ~ 99.9%。系统的精度范围为0.94 ~ 0.99。从测试结果的准确性和精密度来看,水物性参数监测系统能够很好地工作。
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PERANCANGAN SISTEM PEMANTAUAN PARAMETER FISIS AIR BERBASIS INTERNET OF THINGS (IoT) MENGGUNAKAN RASPBERRY PI
In this study, a water physical parameter monitoring system based on the Internet of Things (IoT) has been designed using a Raspberry Pi. Parameters monitored in this system are pH, water temperature, water turbidity, and water level. These parameters are essential to determine the level of water quality and quantity. The sensors used are temperature sensor type DS18B20, turbidity sensor type SEN0189, water pH sensor type SEN0161, and ultrasonic sensor HCSR04 trigger for water level. The software system is a program that is embedded in the Raspberry Pi microprocessor. The working mechanism of the monitoring system is that the system detects the physical parameters of the sensors. The signal results from the sensors will be processed via the Raspberry Pi. The processed data is stored on a server that can be accessed via the web. The working mechanism of the monitoring system is that the system detects the physical parameters of the sensor, the signal results from the sensor will be processed via the Raspberry Pi, and the processed data is stored on a server that can be accessed via the web. The sensor sensitivity levels obtained from observations of the system for parameters of pH, turbidity, temperature, and water level are 52.715 mV/pH, 0.0005 V/NTU, 0.0255 V/°C, and 0.0583 milliseconds/cm, respectively. The accuracy obtained in the system test is an average of 96.86% to 99.9%. The precision of the system ranges from 0.94 to 0.99. From the accuracy and precision test results, the water physical parameter monitoring system can work well.
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