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Design Of Real-time Monitoring System For Drying Parameters And Quality Indicators Of Winter Jujube Slices

Posted on:2021-05-08Degree:MasterType:Thesis
Country:ChinaCandidate:Y X CaoFull Text:PDF
GTID:2393330629952369Subject:Agricultural Engineering
Abstract/Summary:PDF Full Text Request
In the drying process,the monitoring of drying parameters is the basis of automatic drying process and improve drying efficiency,but the setting and optimization of drying parameters in drying systems at home and abroad is usually based on experience and experiments,the nutritional quality changes of materials in the drying process are difficult to know because of the complexity of the detection method.The quality change process in the drying process affects the drying quality of the final material,so it is of great practical value to realize the quality index monitoring of material skilled material on the basis of drying parameter monitoring.Combined with the regional situation and industrial structure of Xinjiang,this study takes Xinjiang winter jujubes as the research object,and according to the current research status of the monitoring of drying parameters and the monitoring of the quality index of winter jujubes in the drying process at home and abroad,the real-time monitoring system of the drying parameters and quality index of winter jujube slices is designed.The monitoring and prediction of the quality index of winter jujube slices in the drying process were analyzed and studied after monitoring the drying parameters of the hot air and infrared combined drying device.The main research content is as follows:(1)The real-time monitoring system of the drying parameters and quality index of winter jujube slices was designed and constructed:the basic principles of the overall design were determined,and the overall system was based on the design and construction of the hot air and infrared combined drying device of the drying technology and equipment laboratory of Shihezi University.The real-time monitoring system of drying parameters and quality indicators is divided into two parts of the real-time monitoring module of drying parameters and the real-time monitoring module of quality indicators,and the requirements of the object to be monitored or monitored in each module are determined according to the design requirements:drying parameter monitoring includes:drying temperature,drying wind speed and dry humidity.The quality index of real-time monitoring of winter jujube slices includes the monitoring and nutritional quality index(dry-based vitamin C content,dry-based reductive sugar content)of the sensory quality index(color,moisture content)of the winter jujube slices,and finally the design and selection of the monitoring scheme and monitoring scheme.(2)Completed the winter jujube slices drying parameters and quality indicators real-time monitoring system hardware part,including:overall hardware structure design,drying parameters monitoring hardware structure design,quality index monitoring hardware structure design.Among them:drying parameters monitoring hardware structure design includes Omron E5CC temperature controller to monitor drying temperature,Dema inverter DMA00-0D7543A indirect monitoring drying wind speed,STC89C52RC microcontroller to monitor dry humidity,and determine the temperature controller,inverter and microcontroller connection and communication interface Quality index monitoring hardware structure design includes real-time monitoring of the color of the winter jujube slices by industrial cameras,the electronic balance weightlessness method,real-time monitoring of the moisture content of the winter jujube slices,and the selection and installation arrangement of the main components.(3)The real-time monitoring system software of winter jujube slices drying parameters and quality index is partially designed using LABVIEW virtual instrument including drying parameter monitoring module software program design,sensory quality index monitoring module software program design and nutrition quality index prediction module software program design.Among them:the drying parameter monitoring module respectively identified the upper computer PC and the lower computer Omron E5CC temperature controller,Dema inverter DMA00-0D7543A and STC89C52RC microcontroller between the software layer communication protocol and command frame,the application of VISA kit for dry ingesting temperature,drying wind speed,the drying humidity is designed to monitor the software program,the sensory quality index monitoring module is used by VISION and VISA kit respectively to monitor the software program design of the data collection,data filtering and data analysis of the color and moisture content of the winter jujube slices,and finally,according to the pre-task group established the winter jujube slices color a~*and nutritional quality-related regression model,design of winter jujube slices nutrition quality(dry-based vitamin C content,dry-based reductive sugar content)real-time prediction program.(4)Software integration of the programs of each sub-module and design of the human-computer interaction interface of the real-time monitoring system for the drying parameters and quality indicators of winter jujube slices,software and hardware integration of the overall system,and the use of test methods compared with manual detection of the system the quality monitoring performance is tested.The test results show that the two detection methods have similar trends in the L~*,a~*,and b~*values of winter jujube slices.The two detection methods measure the maximum average error of L~*,a~*,and b~*of winter jujube slices.1.59,0.89,and 1.12,respectively;the average relative error of the quality of winter jujube slices measured by the two detection methods is 0.46%,and the average absolute error of the moisture content is 0.18%;the drying parameters and quality indicators of winter jujube slices are monitored in real time and the maximum average errors of the system based on the nutritional quality indexes of winter jujube slices for dry-based vitamin C content and dry-based reducing sugar content were 85.20 mg/100g and 1.80g/100g,respectively.
Keywords/Search Tags:Winter jujube slices, Drying parameters, Quality indicators, Real-time, Monitoring system
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