self-optimizing造句
例句與造句
- Simulation research on abs self - optimizing control method
防抱制動(dòng)系統(tǒng)自尋優(yōu)控制的仿真研究 - Factor two level self - optimizing fuzzy controller with time - varying modifying
時(shí)變修正因子二級(jí)自尋優(yōu)模糊控制器 - Self - optimizing control
自尋優(yōu)控制 - Self - optimizing system
自尋優(yōu)系統(tǒng) - Components that help enable system resources to self - configure , self - heal , self - optimize , and self - protect
組件使用，使系統(tǒng)資源能夠?qū)崿F(xiàn)自配置、自修復(fù)、自優(yōu)化和自保護(hù)。 - It's difficult to find self-optimizing in a sentence. 用self-optimizing造句挺難的
- In addition , fuzzy dynamic self - optimizing control method is adopted in air supplying circuit for boiler ' s working at the best situation
另外，在送風(fēng)回路中采用了模糊動(dòng)態(tài)自尋優(yōu)控制方案，為鍋爐運(yùn)行于最佳燃燒狀態(tài)，提供了必要的保證。 - The comparative experimental results show that the self - optimized connection pool is superior to the current connection pool both in reducing the resource possession of computer system and in enhancing visiting speed for large - scale application system
通過與現(xiàn)有連接池的實(shí)驗(yàn)比較,說明自優(yōu)化連接池在減少資源占用,提高大型應(yīng)用系統(tǒng)的訪問速度上優(yōu)于現(xiàn)有連接池。 - Thirdly , two major strategies are presented : one is a fuzzy controller with self - adjusting of parameters which is applied to boiler burning system ; the other is a self - optimizing controller which is applied to the blasting system
其中，總結(jié)操作人員成功的經(jīng)驗(yàn)，提出兩種控制策略：其一是基本模糊控制器和帶參數(shù)自調(diào)整模糊控制器，引入鍋爐燃料控制系統(tǒng)中；另一種是模糊自尋優(yōu)控制器，用于送風(fēng)控制系統(tǒng)中。 - Then a combustion evolution optimizing system based on the radiant energy measuring was built , economical boiler combustion adjustment was carried out , under the combined action of a controller based on fuzzy self - optimizing of fume
在此基礎(chǔ)上，建立了基于輻射能檢測(cè)的燃燒進(jìn)化優(yōu)化系統(tǒng)，通過煙氣含氧量與爐膛總輻射能的模糊自尋優(yōu)控制器和風(fēng)煤比進(jìn)化優(yōu)化器組成的燃燒優(yōu)化回路的共同作用，對(duì)鍋爐進(jìn)行燃燒經(jīng)濟(jì)性調(diào)節(jié)，達(dá)到燃燒優(yōu)化控制的目的。 - During the realization of integration optimization , based on former integration scheme relation drawings , paper brings forward the integration scheme optimize - path searching algorithm and self - optimize algorithm and gets the integration scheme objects ensemble which is
在聚集優(yōu)化的實(shí)現(xiàn)當(dāng)中，本文基于原聚集方案關(guān)系圖，提出了一種聚集方案最優(yōu)尋徑算法與自身優(yōu)化算法，從而得到一個(gè)聚集代價(jià)較低，又能夠滿足當(dāng)前用戶需求的聚集方案實(shí)體化集合。 - ( 2 ) to adapt the requirement of dw individuation and respond to the need of dw change , based on the optimization function of the current dw production , paper brings forward dw integration optimize - path searching algorithm and the dw integration scheme self - optimize algorithm , and studies and realizes the dw integration optimization
( 2 )為適應(yīng)數(shù)據(jù)倉(cāng)庫(kù)的個(gè)性化要求，響應(yīng)用戶對(duì)數(shù)據(jù)倉(cāng)庫(kù)的需求，本文基于現(xiàn)有產(chǎn)品的數(shù)據(jù)倉(cāng)庫(kù)優(yōu)化功能，提出了數(shù)據(jù)倉(cāng)庫(kù)聚集方案最優(yōu)尋徑算法，與數(shù)據(jù)倉(cāng)庫(kù)聚集方案自身優(yōu)化算法，研究并實(shí)現(xiàn)了數(shù)據(jù)倉(cāng)庫(kù)聚集優(yōu)化。 - Based on the propounded control algorithm , combined with the developmental way of thematic project automation , this paper designs a system structure of distributed control system with unique merit , which fit for the automatic and intellectual requests of automation of homemade middle and miniature power station boiler . the parameter self - optimizing fuzzy control system designed by this paper has been put into continuous automatic running in industrial process . the integrated characters of the system has gone beyond the national standards and has achieved ideal control effect as well as economic efficiency
基于本文提出的控制策略，結(jié)合熱工自動(dòng)化的發(fā)展方向，設(shè)計(jì)出一種適合我國(guó)國(guó)產(chǎn)中小型電站鍋爐特點(diǎn)的計(jì)算機(jī)分布式控制系統(tǒng)dcs結(jié)構(gòu)，符合我國(guó)國(guó)產(chǎn)中小型電站鍋爐運(yùn)行自動(dòng)化、智能化的要求，該系統(tǒng)成功地在工業(yè)現(xiàn)場(chǎng)中投入全自動(dòng)連續(xù)運(yùn)行，性能可靠，經(jīng)濟(jì)性好，綜合性能指標(biāo)達(dá)到或優(yōu)于部頒標(biāo)準(zhǔn)，取得了理想的控制效果和良好的經(jīng)濟(jì)效益。 - Avoiding the difficulties of detecting the difficult parameters in furnace control and of building up the models , integrated with fuzzy control and conventional pid control , abb ’ s control it system is used to predict the bloom surface and center temperature directly based on the temperature of furnace wall easily to be detected so that the temperature settings in various furnace sections can be self - corrected , the furnace temperature of each section self - adjusted and on - line parameters of combustion control self - optimized . in addition , the heating parameters and the operating status of the field plant can be monitored with alarm
采用abb公司的controlit控制系統(tǒng),避開爐子控制中遇到的困難參數(shù)檢測(cè)及建模困難等因素,直接根據(jù)容易檢測(cè)的爐壁溫度來推知鋼坯表面溫度及鋼坯中心溫度,將模糊控制技術(shù)與常規(guī)pid控制相結(jié)合,實(shí)現(xiàn)各段溫爐設(shè)定值自修正、各段爐溫自協(xié)調(diào)、各參數(shù)在線自整定的自尋優(yōu)最佳燃燒控制;對(duì)熱工參數(shù)、現(xiàn)場(chǎng)設(shè)備的運(yùn)行情況進(jìn)行監(jiān)視、報(bào)警,實(shí)現(xiàn)爐膛壓力、管道壓力、換熱器的保護(hù)控制,并將重要參數(shù)送往廠級(jí)mis網(wǎng)絡(luò)。 - Aiming at such problems in combustion system of homemade middle and miniature boiler , as a complex system with the character of dead zone , time variation , serious non - linearity , large time delay , coupling and a lot of disturbance , this paper presents a new set of optimal control resources . by using well - matched control method on system , stable automatic running is realized . having the serious divulgence coals difference a lot from each other in character , instability of chemistry , value of lowest emission of heat , home - made boiler controller is not at all ideal . instead of traditional model that controls the ratio based on proportional control or with the correct signal of the amount of oxygen , this paper , combined with intellect control theory - - fuzzy control and self - optimizing concept , propounded a kind of fuzzy self - optimizing controller to be used in air supplying system of the boiler , and expatiates on the idea of dividing the control process into two parts , dynamic and static to realize , thus meets the demand of homemade boiler economic running
本設(shè)計(jì)針對(duì)國(guó)產(chǎn)中、小型電站鍋爐燃燒系統(tǒng)參數(shù)時(shí)變、嚴(yán)重非線性、干擾因素復(fù)雜、耦合嚴(yán)重、模型不易確定的特點(diǎn)，提出多變量協(xié)調(diào)控制方案，解決了系統(tǒng)可控性差，難以實(shí)現(xiàn)穩(wěn)定自動(dòng)運(yùn)行的問題；在此基礎(chǔ)上，改變以往以煙氣含氧量控制送風(fēng)的傳統(tǒng)模式，針對(duì)國(guó)產(chǎn)電站鍋爐設(shè)備主體及一、二次送風(fēng)回路泄露嚴(yán)重，煤種混雜、成分不穩(wěn)定、燃燒發(fā)熱值低、燃燒效率不高等問題，應(yīng)用智能控制理論中的模糊控制技術(shù)，結(jié)合自尋最優(yōu)控制的思想，設(shè)計(jì)了一種模糊自尋優(yōu)控制器，應(yīng)用在電站鍋爐送風(fēng)控制系統(tǒng)上，并闡述了動(dòng)靜態(tài)兩種實(shí)現(xiàn)途徑，通過在線優(yōu)化風(fēng)煤配比，實(shí)現(xiàn)最佳經(jīng)濟(jì)燃燒，切實(shí)保障了鍋爐的經(jīng)濟(jì)運(yùn)行。 - However , the farther analysis in the paper indicates that the strategy of parameter configuration in current connection pool technique is static state with 1 - order enactment while initializes connection pool without self - optimized adjustment according as the variety of application demand , the operation results of high use frequency database are not cached and users visit the same database independently . the multi - propose connection strategy cannot control the database operation for the same transaction and cannot ensure the acid attribute , etc . in according with the defections mentioned above , the service technique of self - optimized connection pool is presented in this paper and the composing structure for self - optimized connection pool is designed , then , some strategy in dynamic parameters adjustment , transaction management and data cache for connection pool is improved
然而,通過本文的研究分析,現(xiàn)有數(shù)據(jù)庫(kù)連接池技術(shù)的參數(shù)配置策略是靜態(tài)的,連接池初始化時(shí)進(jìn)行一次設(shè)定,不能根據(jù)應(yīng)用需求的變化而動(dòng)態(tài)調(diào)整;連接池的核心管理機(jī)制中,沒有對(duì)使用頻率較高的數(shù)據(jù)庫(kù)操作結(jié)果進(jìn)行緩存,多個(gè)用戶依然各自獨(dú)立地完成相同的數(shù)據(jù)庫(kù)訪問;使用的連接復(fù)用策略無法控制屬于同一個(gè)事務(wù)的多個(gè)數(shù)據(jù)庫(kù)操作,不能保證事務(wù)的acid屬性等。
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