机械设计与制造工程
機械設計與製造工程
궤계설계여제조공정
MACHINE DESIGN AND MANUFACTURING ENGINEERING
2013年
11期
18-21
,共4页
烟草设备%数据挖掘%参数分析%关联规则
煙草設備%數據挖掘%參數分析%關聯規則
연초설비%수거알굴%삼수분석%관련규칙
Tobacco Equipment%Data Mining%Parameter Analysis%Association Rule
工业生产过程中产生的大量数据，它们蕴含着许多与生产设备、生产过程相关的规律性。为了挖掘出隐含在数据中的潜在规律，以SQL Server 2005软件为工具，以烟草企业实际数据为原型，选择Apriori算法对数据进行分析处理。结果显示，烟片大片率受打辊1实时频率和风机1实时频率影响最大，烟片中片率受打辊2实时频率影响最大。经现场调试验证，该结果具有较高的准确性和可靠性。
工業生產過程中產生的大量數據，它們蘊含著許多與生產設備、生產過程相關的規律性。為瞭挖掘齣隱含在數據中的潛在規律，以SQL Server 2005軟件為工具，以煙草企業實際數據為原型，選擇Apriori算法對數據進行分析處理。結果顯示，煙片大片率受打輥1實時頻率和風機1實時頻率影響最大，煙片中片率受打輥2實時頻率影響最大。經現場調試驗證，該結果具有較高的準確性和可靠性。
공업생산과정중산생적대량수거，타문온함착허다여생산설비、생산과정상관적규률성。위료알굴출은함재수거중적잠재규률，이SQL Server 2005연건위공구，이연초기업실제수거위원형，선택Apriori산법대수거진행분석처리。결과현시，연편대편솔수타곤1실시빈솔화풍궤1실시빈솔영향최대，연편중편솔수타곤2실시빈솔영향최대。경현장조시험증，해결과구유교고적준학성화가고성。
In the industrial production process , the production line produces a large amount of real -time field data, which contains a lot of knowledge associated with the production equipment and production process .In or-der to excavate the potential rules hidden in the data , it uses the enterprise actual data as the prototype based on SQL Server 2005 software, and chooses Apriori algorithm to analyze the data .The result of the study shows that the real-time frequency of NO.1 roll and NO.1 fan has the greatest influence on the rate of large size tobacco flake and that the real-time frequency of NO.2 roll has the greatest influence on the rate of middle size tobacco flake.The field test and adjustment prove that the result has very good accuracy and reliability .
