{"title":"使用便携式模拟计算机进行过程识别、计算和控制","authors":"L. H. Fricke, R. A. Walsh","doi":"10.1145/1464052.1464118","DOIUrl":null,"url":null,"abstract":"In the design and development of controlled processes there are two areas of intense activity---the theoretical simulation of the total plant and empirical simulations involving the collection of reliable experimental data to assist in the construction of a special purpose model. The simulation of a newly proposed process, even from the best available theoretical basis, is usually only approximate. It requires use of large and expensive computer installations, either analog and/or digital, so that by direct programming of the design criteria, the optimum plant operating conditions may be determined. However, even if such a model were extremely reliable (pilot plant), the scaleup problems are quite complex. In some cases, it might be well-nigh impossible to maintain the exact relationships between certain intrinsic parameters, surface tension, heat transfer, etc.---and, of course, few theoretical models can anticipate all the significant process characteristics. As a result, many full scale plants are in need of partial redesign. The authors feel that techniques relying on plant data are indispensable for accomplishing this end.","PeriodicalId":126790,"journal":{"name":"AFIPS '64 (Fall, part I)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1899-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The use of a portable analog computer for process identification, calculation and control\",\"authors\":\"L. H. Fricke, R. A. Walsh\",\"doi\":\"10.1145/1464052.1464118\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the design and development of controlled processes there are two areas of intense activity---the theoretical simulation of the total plant and empirical simulations involving the collection of reliable experimental data to assist in the construction of a special purpose model. The simulation of a newly proposed process, even from the best available theoretical basis, is usually only approximate. It requires use of large and expensive computer installations, either analog and/or digital, so that by direct programming of the design criteria, the optimum plant operating conditions may be determined. However, even if such a model were extremely reliable (pilot plant), the scaleup problems are quite complex. In some cases, it might be well-nigh impossible to maintain the exact relationships between certain intrinsic parameters, surface tension, heat transfer, etc.---and, of course, few theoretical models can anticipate all the significant process characteristics. As a result, many full scale plants are in need of partial redesign. The authors feel that techniques relying on plant data are indispensable for accomplishing this end.\",\"PeriodicalId\":126790,\"journal\":{\"name\":\"AFIPS '64 (Fall, part I)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1899-12-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AFIPS '64 (Fall, part I)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1464052.1464118\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AFIPS '64 (Fall, part I)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1464052.1464118","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The use of a portable analog computer for process identification, calculation and control
In the design and development of controlled processes there are two areas of intense activity---the theoretical simulation of the total plant and empirical simulations involving the collection of reliable experimental data to assist in the construction of a special purpose model. The simulation of a newly proposed process, even from the best available theoretical basis, is usually only approximate. It requires use of large and expensive computer installations, either analog and/or digital, so that by direct programming of the design criteria, the optimum plant operating conditions may be determined. However, even if such a model were extremely reliable (pilot plant), the scaleup problems are quite complex. In some cases, it might be well-nigh impossible to maintain the exact relationships between certain intrinsic parameters, surface tension, heat transfer, etc.---and, of course, few theoretical models can anticipate all the significant process characteristics. As a result, many full scale plants are in need of partial redesign. The authors feel that techniques relying on plant data are indispensable for accomplishing this end.