Research On Graphical Grain Condition Intelligent Analysis Method And System

This paper discusses the structures and practical application of graphical grain condition intelligent analysis method and system.The content of the research is combined with the data analysis of real granary and the analysis of experimental data.The contents of this paper focus on include:The basis of concept and theory of graphical grain condition intelligent analysis method is put forward.Research on graphical grain condition intelligent analysis method based on Theory of micro environment absolute water potential,and the construction of the test system;Study on the analysis method of grain nephogram characteristics and the change of the area of the cold and hot core;Study on grain nephogram rapid reconfiguration and analysis method and software development;The research of real-time graphical grain condition intelligent analysis and control of stored grain self-heating process.The details and conclusions are as follows:1)The basis of concept and theory of graphical grain condition intelligent analysis method.The concept of grain bulk element,grain bulk microenvironment and grain bulk multielement field coupling theory is put forward,and the coupling and decoupling relationship between grain bulk microelement field,associated field and symbiotic field is put forward.The conception of graphical grain condition intelligent analysis method and the theory of micro environment absolute water potential is proposed.The multi field coupling theory of grain bulk and its main analytical methods are introduced.2)Research on graphical grain condition intelligent analysis method based on Theory of micro environment absolute water potential,and the construction of the test system.Build a graphical detection system platform based on client/server architecture for small scale corn granaries.The hardware part of this platform is composed of a small scale granary,a fan,an air pump,temperature and humidity sensors,temperature sensor cables,an input and output module,a temperature and humidity acquisition module,a temperature inspector,a server,and a client tablet computer.The platform has the functions of remote monitoring,data sharing,intelligent ventilation and so on.The client software of the system is based on Android platform.It realizes dynamic display of granary temperature and humidity data,dynamic drawing absolute water potential map and humidity map on Android tablet computer,guiding granary ventilation,remote control of related equipment in granaries,and so on.The system is consisted of basic information module,data analysis module,the sin model module,the absolute humidity chart module,absolute potential chart module,image analysis module,3D curve module and remote control module,of which the absolute water potential module was first be used.Using the LabVIEW platform developed a grain condition monitoring system for small scale granaries.The system implements the related equipment of different granaries controling,real-time data displaying and recording,grain consition hand switching and automatic monitoring,which reduces the difficulty of the work of granary administrator.In the grain loading test,there is a total of six simulated small scale granaries were included,which were loaded with approximately 3 tons of corn with initial water content of 14%-15%,with a mildew rate of about 1.2%.The test was successfully used to monitor the temperature and humidity in the granaries in July and August,the most dangerous time to grain storage in Changchun area.For example,in the granary A,the grain temperature has been controlled at about 25.9?,the humidity is about 64%,the mildew rate is 1.7%,and the fluctuation variance of grain temperature is 0.32.The experiment shows that the system can effectively control equipment and synchronize data of each granary,and achieve the ventilation operation of remote cooling,precipitation and quality adjustment guided by the absolute water potential map,helping granary managers to ensure food safety.3)Study on the analysis method of grain nephogram characteristics and the change of the area of the cold and hot core.Explored the establishment of the grain temperature nephogram of different sections of the granary.A grain condition analysis method is put forward to the area of 17?grain temperature line as quantitative indicators of the grain.The Kriging interpolation method in geostatistics is introduced to the analysis of the grain bulk cross section nephograms.The distance between the point position coordinates of the sampling points and the measuring points in the grain bulk is taken as the interpolation basis,which provides a new method and new idea for the interpolation calculation of nephogram of grain bulk.The longitudinal middle section granary grain temperature nephograms were generated by using Arcgis software for 17th day,50th day,73rd day,85th day,100th day,124th day,150th day in the storage process.The temperature gradient was set to 4?,including below 5?,5.1-9.0?,9.1-13.0?,13.1-17.0?,17.1-21.0?,and 21.1-25.0?.Through comparison and analysis,it can be seen that the area under different grain temperature lines of this section varies with the external environment during storage.Through the raster and vectorization of the generated nephogram,then the area under different grain temperature lines is obtained.The reasons for the fluctuation of the area under different grain temperature lines with environmental interference are analyzed and summarized.The SPSS software was used to simulate the grain temperature line and the number of storage days and the area under the grain temperature line,and the area model under the grain temperature line was obtained.The fitting accuracy of the model R~2 is reliable and reaches0.96357,and the 127th day temperature data can be deduced accurately by verification and analysis.4)Study on grain nephogram rapid reconfiguration and analysis method and software developmentA fast algorithm for generating nephogram is proposed.This paper studies on the calculation method of the outer boundary of grain data matrix,and completes the grain data outer boundary points to realize the rapid generation of full frame grain nephogram.Based on the comparison of the interpolation algorithm of grain matrix data completion,summarizes the comparison of Kriging interpolation,bilinear interpolation and Newton polynomial interpolation quality,and determine the subsequent grain nephogram interpolation algorithm.An heat or cold core area ratio calculation algorithm is propsed,which is inspired in the quantitative calculation of grain nephogram.The algorithm can traverse pixel points in grain nephogram image according to the defined temperature range,and calculate the area ratio of all the eligible regions.An absolute water potential field grain nephogram generation method based on the coupling of temperature field and moisture content field is invented.On the basis of the above algorithms,based on the C++platform and UE4 engine,a fast3D grain nephogram generate and analysis software is developed.The software realizes the rapid modeling of the granary,and it defines a standard grain condition data format,realizes the functions of fast generation and switching of grain nephogram images,dynamic evolution,area calculation,grain nephogram image exportation,and the exportation of interpolation results.5)The research of real-time graphical grain condition intelligent analysis and control of stored grain self-heating process.The storage test results show that the hot area of grain bulk is not completely coincided with the high humidity area of grain bulk.The hot spots in the grain bulk are at the intersection of high temperature and high humidity,about 1m from the east wall of the granary,about 2m from the grain surface,and about 2m at the distance from the north and south walls.A large hot core in the grain bulk can be judged from the five cross sections of the grain nephograms,which is between the second layer and the thired layer.The self-heating process(life-cycle)of the whole grain bulk can be divided into three stages:rapid expansion stage,stable expansion stage and extinction stage.After a week of artificial intervention(July 7th),grain bulk began to show abnormality.The hot core began to proliferate rapidly at July 7th,July 8th,July 9th and July 10th.This time period is the first stage,and the hot core was expanded rapidly.In the North-South direction of the grain bulk,the hot core appeared later than the East-West direction,but the area of North-South direction was larger than the area of the East-west direction.In July 10th,after the human intervention of ventilation(2H),the hot core delayed the expansion until July 14th.Therefore,when the grain nephograms appear similar to the July 7th,July 8th,July 9th or July 10th situations,the ventilation measures should be taken on the grain bulk in time.In July 11th,the grain temperature rise rate decreased,due to human disturbance.The grain temperature of second layer of the grain bulk which was higher than 30?was absorbed rapidly in its surrounding area,but the area above 28?still accounted for 77%of the section.After July 11th,the grain bulk hot core change rate was significantly lower than that of the first four days.By July 19th,the expansion rate of the grain bulk hot core decreased.Then the self-heating process entered the second stage,slowly increasing.After July 19th,the grain bulk hot core began to gradually move.In July 26th,the area ratio of grain temperature over 35?in the North-South direction of grain bulk was reduced to 35.54%.This period is the third stage,and the grain bulk hot core was gradually moved up to the grain surface.The moisture content of the grain bulk in the third stage was accompanied by heat removal of the grain surface.In August 4th,the average moisture content in the whole grain bulk fell to 13.2%.Research results provide reference for subsequent study on the graphical grain condition intelligent analysis method and system.