Application of swirl-flow purifer for restaurant cooking fume

研究了一种湿法油烟净化器 ,该净化器对饮食业油烟气中的油雾和异味均有良好的净化效果 ,着重探讨了两种净化效率与风速、压力降、润湿剂的关系 ,得出最佳操作条件。A kind of cooking fume wet scrubber,which could purify oil mist and odors in kitchen exhaust gas,was studied.The relationship between two purification efficiencies and wind speed,purificants,pressure was discussed,and the optimal operating conditions were obtained

An Engineering Method of Automatic Programming

鉴于目前的自动程序设计技术处于探索阶段,尚不适用的状况,本文提出了一种自动程序设计技术,按此方法构造了一个系统——APSNFA 系统。并在 Honeywell 6000系列的 DPS8/52机上,用 LISP 66语言实现并验证了这个系统

干旱区土地退化监测预警与防治示范

本项目以综合生态系统管理理念为理论指导,创建量化的新疆土地退化监测与评价指标体系、新疆综合生态系统管理信息系统和预警系统,优选出土地退化防治模式,对伊犁河流域的土地退化进行宏观评价。经过6年时间,完成或超额完成了项目任务书拟定的目标和任务,解决了关键技术问题。 主要技术性能指标： 1.新疆土地退化监测与评价指标体系成果报告,提供伊犁河流域土地退化评价状况报告,形成伊犁河流域土地退化评价图(1：100万); 2.建立新疆土地退化(土地荒漠化及土地沙化)管理信息系统(两套),土地退化管理信息系统的应用软件,可推广到西部六省区应用; 3.建立完整的新疆不同土地..

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies