Dorper BSI Monitoring with Load Cells and Raspberry PI

2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE) Pub Date : 2019-04-01 DOI:10.1109/ISCAIE.2019.8743693

Faieza HanumYahaya, Ruhizan Liza Ahmad Shauri, Shahriman Abu Bakar

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引用次数: 7

Abstract

The paper describes an alternative method to weigh and monitor the health of livestock via BSI. One method is by recording the measured weight for each livestock for daily weight comparison. The farmer needs to manually lift each of the livestock onto the weighing scale, using rope, producing risk of injury to both farmer and livestock. The main purpose of this project is to enhance the existing weight process by developing a weighing scale which is durable, easy to maintain as well as equipped with online database to store the weight of the livestock for monitoring purposes. Hardware consisting of load cell, HX711 and Raspberry Pi while the software will be written using Python programming language and LAMP to create a web server for storing acquired data. The system’s prototype takes accurate and stable reading in experiments simulating a livestock walking onto the weighing platform with an error rate of 0.1kg. Finally, the implementation of this system shall increase farmers productivity as well as redusing risk for injury.

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Dorper BSI监测与负载传感器和树莓派

本文介绍了一种利用BSI对牲畜进行称重和健康监测的替代方法。一种方法是记录每头牲畜的体重，用于每日体重比较。农民需要用绳子手动将每头牲畜抬到称重秤上，这对农民和牲畜都有伤害的风险。该项目的主要目的是通过开发一种耐用，易于维护的称重秤来改进现有的称重过程，并配备在线数据库来存储牲畜的体重以供监测。硬件由测压元件，HX711和树莓派组成，而软件将使用Python编程语言和LAMP编写，以创建用于存储采集数据的web服务器。该系统的原型在模拟牲畜走上称重平台的实验中获得了准确稳定的读数，错误率为0.1kg。最后，该系统的实施将提高农民的生产力，并减少伤害风险。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)

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