畢業(yè)設(shè)計論文醫(yī)院點(diǎn)滴注射檢測預(yù)警系統(tǒng)設(shè)計doc(已修改)
2025-07-30 10:03 本頁面
【正文】 本科畢業(yè)設(shè)計（論文）醫(yī)院點(diǎn)滴注射檢測預(yù)警系統(tǒng)設(shè)計 摘 要 在醫(yī)療系統(tǒng)中特別是關(guān)于點(diǎn)滴監(jiān)控裝置存在種種弊端，給病人及其醫(yī)護(hù)人員帶來諸多不便。在一些大醫(yī)院一個護(hù)士常常需要負(fù)責(zé)十幾個、甚至幾十個床位的液體點(diǎn)滴，很容易出現(xiàn)混亂局面，導(dǎo)致工作效率降低。為了提高醫(yī)院本身的管理水平和工作效率，為了保護(hù)病患的安全，及時拔下針頭，換點(diǎn)滴藥水，實(shí)現(xiàn)自動實(shí)時地監(jiān)控液體點(diǎn)滴，因此，微機(jī)化自動實(shí)時的液體點(diǎn)滴監(jiān)控系統(tǒng)的使用勢在必行。本文提出的液體點(diǎn)滴預(yù)警實(shí)時監(jiān)控系統(tǒng)是用單片機(jī)AT89C52來控制和管理各個床號的液體點(diǎn)滴裝置。本文詳細(xì)介紹了一種基于單片機(jī)AT89C52控制的醫(yī)療點(diǎn)滴預(yù)警控制系統(tǒng)的設(shè)計方法。以單片機(jī)AT89C52為核心，輔以光電傳感器，LED顯示，蜂鳴器等電路組成，利用單片機(jī)設(shè)計一個智能化的液體點(diǎn)滴輸液預(yù)警控制系統(tǒng)。改系統(tǒng)操作方便、可集中控制、具有報警功能，設(shè)和在醫(yī)院推廣使用，以加速醫(yī)療器械加速自動化與半自動化進(jìn)程，提高醫(yī)護(hù)質(zhì)量。本人詳細(xì)介紹了裝置的硬件組成，工作原理和軟件設(shè)計思路，并對儲液瓶頁面高度檢測報警電路進(jìn)行了詳細(xì)的介紹。關(guān)鍵詞：單片機(jī)，光電傳感器，預(yù)警 英文全部用Times New Roman字體Abstract 三號字體，加粗，居中上下空一行 正文小四號字體，行距為固定值20磅In this paper, multivariable predictive control algorithm and its application to the control of the environmental test device are introduced particularly. The temperature and humidity control system of the environmental test device is characterized as long time delay and severe coupling. Therefore, the routine PID control effect is unsatisfactory. In this case, the simulation of the temperature and humidity control of the environmental test device based on multivariable predictive control algorithm is made.Predictive control algorithm is one of control algorithm based on description of system’s inputoutput. Its three basic principles are predictive model, rolling optimization and feedback correction. It chooses unit step response as its predictive model, so that the modeling process is simplified. In addition, good control and decoupling effects could be possessed by means of selection suitable parameters.In this paper, the environmental test device is introduced briefly and the existing problems are showed. Then multivariable predictive control algorithm is presented particularly, including multivariable autobalance system predictive control algorithm and multivariable autounbalance system predictive control algorithm. Next, system mode
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