基于小波變換的化工過程數(shù)據(jù)實(shí)時(shí)壓縮算法及應(yīng)用研究.pdf

1、浙江大學(xué)碩士學(xué)位論文基于小波變換的化工過程數(shù)據(jù)實(shí)時(shí)壓縮算法及應(yīng)用研究姓名：趙標(biāo)申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：控制理論與控制工程指導(dǎo)教師：王海清李平20060201浙江大學(xué)碩士學(xué)位論文ABSTRACTThedevelopmentsinthecomputerandthesensortechnologieshaveexplosivelyincreasedthequantityofprocessdatameasuredinthechemicaleng

2、ineeringpmducfionprocessAbundantdataneedtobestoredbecausetheybringalotofusefulinformationthatwillbenefitmanysortsoftherunningandcontrollingtasksHoweverthesedatainevitablycattymuchredundantandirrelevantinformationresulted

3、fromthemeasuringandthecomputingerrorsandeverloutofsomehmnanfactorsMoreoverwiththedevelopmentofthenetworktechnique，theremoteandnetworkbasedmonitoringandcontrollingstrategiesbecomepopularintheindustryproductionprocessAndth

4、eybothrequirelargeamountoftheprocessdatatransmittedinrealtimeviathenetworkinordertosharethedataresourcesnuSitisnecessarytodevelopthereal—timeprocessdatacompressiontechniqueteservethemajorcharacteristicinformationofthepro

5、cess，tosavethedatastoringspace，aswellasteducethedatastreamandtoimprovethespeedandtheefficiencyofthedatatransmissionAccordinglyitisnecessarytodevelopthedatacompressiontechniquewhichⅣouldservethemillwideautomationsystemand

6、improvetheperformanceconcerningprecisionandrealtimeinautomatictechnologyTherearethreemainmethodsforprocessdatacompressionuptonowiepiecewiselinearcompression，vectorquantizercompressionandtransformcompressionAmongthemwavel

7、ettransformationisregardedasthemostpromisingprocessdatacompressionmethodforitsmanygoodcharacters，especiallythoseinthedataprocessingareaThisthesisapplieswavelettransformationtotherealtimedatacompressioninthechemicalengine

8、ering，especiallytothetwodifferentclassesofproductionprocess—thecontinuousprocessandthebatchprocessThemaincontributionsincludethefollowingaspects：1)Thepurpose，themeaning，thecharacteristicsandthestateoftheartofthedatacompr

9、essionaresummarizedfirstTypicaldatacompressionmethodsareintroducedwiththeadvantageanddisadvantageanalysis2)ThecharacteristicsofthecontinuousprocessareanalysedAkindofrealtimedatacompressionalgorithmbasedontheharrwaveletis

10、proposedandappliedtotheTEmodel—thetypicalsimulatingmodelofthecontinuousprocessTheresultshowstheefficiencyandtheadvantagesofthealgorithmAndthedenoisingabilityofthewaveletcompressionalgorithmforthecompresseddatajsdiscussed