天然气压力能发电-制冰利用及运行效益评估研究

天然气压力能是一种新兴清洁能源，对其进行高效利用是节约能源、降低碳排放的有效手段。目前，天然气压力能回收利用中存在用能模式单一、评估指标片面以及评估方法缺乏等问题，导致天然气压力能利用率低，运行效益和系统不足无法被准确评估，行业发展受阻。首先，提出了天然气压力能综合利用方案，使用透平膨胀机回收压力能发电，降压过程中产生的冷能用于制冰，并加入太阳能热水系统提高出站气温度，提高能源利用效率。其次，基于分析模型并考虑经济性和环保性构建了压力能利用系统运行效益评估指标体系，对系统的运行状态进行全面、综合的评估。然后，建立了层次分析法-反熵权法综合评价模型，解决了指标之间相互影响、含义交叉的问题，提高了指标权重的判断精度。最后，通过对案例调压站评估可得，该调压站在运行中主要存在装置故障率高、系统稳定性差以及经济效益不显著等问题，评估结果验证了评估方法的有效性，为压力能利用系统的运行优化提供了理论支撑

Design and Implementation of Archive Management System for Xinjiang Construction Bureau Based on J2EE

档案信息管理系统是利用计算机技术对传统的档案管理业务进行信息化改造而产生的。传统的档案管理都是需要人工的方式对档案文件进行日常的归档编号操作管理的。而随着计算机技术的普及，利用计算机来对档案管理进行改造能够大大提高工作人员的管理效率。随着科学技术尤其是当前互联网技术的快速发展，世界各国都在积极提倡政府信息化管理。而政府信息化的建设同样带来了新的问题，即政府大量电子信息文件的管理，因此急需开发和设计一种面向档案日常管理业务的信息管理系统软件来解决目前政府信息化建设过程中所面临的低效和信息孤岛问题。 本文主要根据新疆建设局档案管理的具体情况，设计和开发了该档案管理系统。本文的主要工作： （1）...file information management system is the use of computer technology on the traditional file management business information generated by the transformation. The traditional file management is the need for manual way to archive the file archiving operations. With the popularity of computer technology, the use of computers to manage the file can greatly improve the efficiency and accuracy of file m...学位：工程硕士院系专业：软件学院_软件工程学号：X201323139

Prediction of Energy Resolution in the JUNO Experiment

International audienceThis paper presents the energy resolution study in the JUNO experiment, incorporating the latest knowledge acquired during the detector construction phase. The determination of neutrino mass ordering in JUNO requires an exceptional energy resolution better than 3% at 1 MeV. To achieve this ambitious goal, significant efforts have been undertaken in the design and production of the key components of the JUNO detector. Various factors affecting the detection of inverse beta decay signals have an impact on the energy resolution, extending beyond the statistical fluctuations of the detected number of photons, such as the properties of liquid scintillator, performance of photomultiplier tubes, and the energy reconstruction algorithm. To account for these effects, a full JUNO simulation and reconstruction approach is employed. This enables the modeling of all relevant effects and the evaluation of associated inputs to accurately estimate the energy resolution. The study reveals an energy resolution of 2.95% at 1 MeV. Furthermore, the study assesses the contribution of major effects to the overall energy resolution budget. This analysis serves as a reference for interpreting future measurements of energy resolution during JUNO data taking. Moreover, it provides a guideline in comprehending the energy resolution characteristics of liquid scintillator-based detectors

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

Determination of the number of ψ(3686) events taken at BESIII

The number of ψ(3686) events collected by the BESIII detector during the 2021 run period is determined to be (2259.3±11.1)×106 by counting inclusive ψ(3686) hadronic events. The uncertainty is systematic and the statistical uncertainty is negligible. Meanwhile, the numbers of ψ(3686) events collected during the 2009 and 2012 run periods are updated to be (107.7±0.6)×106 and (345.4±2.6)×106, respectively. Both numbers are consistent with the previous measurements within one standard deviation. The total number of ψ(3686) events in the three data samples is (2712.4±14.3)×10^

Measurement of integrated luminosity of data collected at 3.773 GeV by BESIII from 2021 to 2024

We present a measurement of the integrated luminosity e+e- of collision data collected by the BESIII detector at the BEPCII collider at a center-of-mass energy of Ecm = 3.773 GeV. The integrated luminosities of the datasets taken from December 2021 to June 2022, from November 2022 to June 2023, and from October 2023 to February 2024 were determined to be 4.995±0.019 fb-1, 8.157±0.031 fb-1, and 4.191±0.016 fb-1, respectively, by analyzing large angle Bhabha scattering events. The uncertainties are dominated by systematic effects, and the statistical uncertainties are negligible. Our results provide essential input for future analyses and precision measurements