基于物联网的煎炸油品质在线检测系统设计
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摘要
为了解决煎炸油各成分含量检测时间长、操作繁琐、不利于在线监控等问题,基于物联网技术的框架,设计并实现了一种高油脂加热过程中有害物质在线检测系统。该系统包括以STM32处理器为核心的传感器系统和以嵌入式ARM处理器为核心的处理系统,实现数据从加工现场的采集、处理、存储,并通过Wi Fi技术将数据传输至物联网云平台,便于实时监控显示。通过对比实验,该系统对煎炸油极性组分含量测量较为准确,加上油烟浓度辅助检测功能,整个系统能有效实现煎炸油品质的在线检测。
In order to resolve the problems of the content of various components of frying oil that the operation time is long and the operation is tedious,and it is not conducive to the problem of online monitoring,based on the framework of Internet of Things technology,an online detection system of harmful substances in high grease heating process is designed and implemented. The whole system includes the sensor system which uses STM32 processor as core,and the processing system in which ARM processor is embedded. It achieves the whole process from data being collected from the site to the data processing and storage,then through Wi Fi technology,the data is transmited to the Internet of Things Cloud platform for real time monitoring display. Through the comparison experiment,the system is accurate to measure the polar component content of the frying oil,and with the help of the soot concentration detection,the whole system can effectively realize the online inpection of the quality of the frying oil.
In order to resolve the problems of the content of various components of frying oil that the operation time is long and the operation is tedious,and it is not conducive to the problem of online monitoring,based on the framework of Internet of Things technology,an online detection system of harmful substances in high grease heating process is designed and implemented. The whole system includes the sensor system which uses STM32 processor as core,and the processing system in which ARM processor is embedded. It achieves the whole process from data being collected from the site to the data processing and storage,then through Wi Fi technology,the data is transmited to the Internet of Things Cloud platform for real time monitoring display. Through the comparison experiment,the system is accurate to measure the polar component content of the frying oil,and with the help of the soot concentration detection,the whole system can effectively realize the online inpection of the quality of the frying oil.
引文
[1]王娟,徐桂花.油炸食品安全性分析及对策措施[J].中国食物与营养,2006(4):58-60.
[2]邓云,戴岸青,杨铭铎,等.油炸过程中食品与油脂的相互作用[J].哈尔滨商业大学学报(自然科学版),2003,19(2):197-201.
[3]GIL B,CHO Y J,YOON S H.Rapid determination of polar compounds in frying fats and oils using image analysis[J].LWT-Food Science and Technology,2004,37(6):657?661.
[4]WEISSHAAR R.Quality control of used deep-frying oils[J].European Journal of Lipid Science and Technology,2014,116(6):667-779.
[5]肖新生,毕艳兰,彭元怀,等.煎炸油检测方法的比较[J].中国油脂,2006,31(5):35-38.
[6]TGS 2600-for the detection of air contaminants[Z].FIGRO GROUP,2004.
[7]李徐,刘睿杰,金青哲,等.介电常数在煎炸油极性组分快速检测中的应用[J].食品安全质量检测学报,2014,5(7):1918-1922.
[8]李徐.基于介电和流变特性的煎炸油极性组分快速检测技术及仪器开发[D].无锡:江南大学,2016.
[9]范庭芳,赵坤,钱松荣.基于物联网的油烟浓度实时监测系统设计[J].微型电脑应用,2013,29(9):18-20.
[10]焦江丽,李凤莲.以ARM Cortex-M3为基础的STM32开发板的设计与实现[J].中国新通信,2013,(9):94-96.
[11]聂小伟.基于ARM与GPRS的油烟机数据采集系统的设计与实现[D].武汉:华中师范大学,2015.
[12]张清涛.基于物联网技术的智能家居系统设计与实现[D].成都:电子科技大学,2014.
[13]胡振国.基于ARM的嵌入式软硬件系统设计与实现[D].成都:电子科技大学,2010.
[2]邓云,戴岸青,杨铭铎,等.油炸过程中食品与油脂的相互作用[J].哈尔滨商业大学学报(自然科学版),2003,19(2):197-201.
[3]GIL B,CHO Y J,YOON S H.Rapid determination of polar compounds in frying fats and oils using image analysis[J].LWT-Food Science and Technology,2004,37(6):657?661.
[4]WEISSHAAR R.Quality control of used deep-frying oils[J].European Journal of Lipid Science and Technology,2014,116(6):667-779.
[5]肖新生,毕艳兰,彭元怀,等.煎炸油检测方法的比较[J].中国油脂,2006,31(5):35-38.
[6]TGS 2600-for the detection of air contaminants[Z].FIGRO GROUP,2004.
[7]李徐,刘睿杰,金青哲,等.介电常数在煎炸油极性组分快速检测中的应用[J].食品安全质量检测学报,2014,5(7):1918-1922.
[8]李徐.基于介电和流变特性的煎炸油极性组分快速检测技术及仪器开发[D].无锡:江南大学,2016.
[9]范庭芳,赵坤,钱松荣.基于物联网的油烟浓度实时监测系统设计[J].微型电脑应用,2013,29(9):18-20.
[10]焦江丽,李凤莲.以ARM Cortex-M3为基础的STM32开发板的设计与实现[J].中国新通信,2013,(9):94-96.
[11]聂小伟.基于ARM与GPRS的油烟机数据采集系统的设计与实现[D].武汉:华中师范大学,2015.
[12]张清涛.基于物联网技术的智能家居系统设计与实现[D].成都:电子科技大学,2014.
[13]胡振国.基于ARM的嵌入式软硬件系统设计与实现[D].成都:电子科技大学,2010.