Design and Implementation of City FireFighting Mobile Communication and Command System Based on 3S

随着改革开放的不断深入和经济建设的飞速发展，诱发火灾因素急剧增多，各类火灾和其他灾害事故频繁发生，一旦救援不及，将会给人民的生命财产带来巨大的损失。目前，各个城市的公安消防指挥中心一般都通过车载电台、对讲机实现了消防指挥中心、消防车、灾害现场之间的语音通信，但消防车开往灾害现场时，特别是垮辖区救援时，不能快速找到灾害发生地点；先期到达现场的消防员，不能准确汇报出真实的灾害发生位置；救援时，由于消防员对消防水源所在位置不熟，无法快速出水救援；救援过程中，消防员只能通过语音手段汇报灾害现场情况，领导无法更准确地了解灾害情况，不便领导判断救援态势，给救援决策带来困难。因此，为了更有效地保护国家和人民...With the deepening of reform and opening up and rapid development of economic construction, induced a sharp increase in fires factors, various types of fires and other disasters occur frequently, once the rescue is less, will give cause tremendous losses of life and property of the people. Currently, all the city's public security fire command center generally through the car radio, walkie-talkie ...学位：工程硕士院系专业：软件学院_工程硕士(软件工程)学号：X201123047

Load Balancing Algorithm for Path Planning Based on Shared Memory

为满足前端对路径规划高并发服务需求,本文设计后台采用集群路径规划服务器来实现并行处理,以达到对前置Fast CGI服务器请求进行分流的目的。由此,本文提出基于共享内存的路径规划负载均衡算法,可根据不同路径规划服务器的性能差异,设置相应的加权系数,并按照加权调度算法,将任务交由合适的路径规划服务器来处理,以均衡所有路径规划服务器之间的负载能力,减少服务延迟,从而提高了路径规划服务的稳定性、扩展性、高可用性和执行的效率。To meet the front end on the path planning for high concurrency service needs,this paper designs background using cluster path planning server to realize parallel processing,in order to achieve the diversion for the prepositive Fast CGI server requests.Thus,this paper presents the load balancing algorithm for path planning based on shared memory,which can set the corresponding weighting coefficient based on the differences in the performance of different path planning server,and according to the weighted scheduling algorithm,the task to be processed by the appropriate path planning server.The result shows that this way can not only balance between all path planning server load capabilities,but reduce the server delay,so as to improve the stability of path planning service,expansion,high usability and execution efficiency

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