FUZHUAN: Day 5-6 — SCRUM and PM Report

FUZHUAN 2024-12-21 00:34:36
Which course does this assignment belong toEE301
Where are the requirements for this assignment?Teamwork—beta Spring
Team Name

FUZHUAN

The objective of this assignmentDay 5-6 — SCRUM and PM Report
Other Reference DocumentsMethod of Construction ( 《构建之法》)

目录

 

SCRUM Part

PM Report

  Expected Tasks Overview

  Completed Tasks

  Remaining Tasks

  Burndown Chart

  Changes in Task Volume 


SCRUM Part

Team MemberAccomplishmentsTime SpentRemaining TasksIssues/ProblemsPlan for Tomorrow
Zhang YuxinCompleted overall system testing, optimized API performance.6 hoursTest edge cases and finalize API endpoints.Minor inconsistencies in API responses.Focus on testing edge cases and integrating final API improvements.
Luo YuxinWorked on testing product page, implemented final product filters.5 hoursReview and finalize the product page UI.Filtering not responsive on all devices.Resolve device-specific display issues, ensure responsiveness.
Yang RuoxinConducted overall frontend testing, fixed UI bugs.5 hoursFinalize product and feedback pages.UI inconsistencies across browsers.Conduct browser testing and fix display bugs.
Lin JiahuiCompleted final steps for product purchase flow.6 hoursTest and integrate payment system.Payment gateway integration issues.Finalize payment integration and resolve issues.
Sun XingWorked on optimizing API performance, tested product management API.5 hoursContinue testing API performance under load.Some API endpoints still lag under heavy load.Conduct load testing and optimize slow API endpoints.
Chen YikeFinalized database query optimization, worked on performance tuning.5 hoursImplement final database indexing.Query performance on large datasets still suboptimal.Implement additional indexes to optimize queries further.

PM Report

  Expected Tasks Overview

TaskEstimated TimeIssues Count
System testing and bug fixing14 hours4
Final product page UI integration8 hours2
API and database optimization10 hours3

  Completed Tasks

TaskTime SpentIssues Completed
System testing and bug fixing12 hours3
Final product page UI integration7 hours2
API and database optimization8 hours3

  Remaining Tasks

TaskRemaining TimeRemaining Issues
System testing and bug fixing2 hours1
Final product page UI integration1 hour1
API and database optimization2 hours1

  Burndown Chart

  Changes in Task Volume 

We encountered unexpected browser compatibility issues on the product page, which increased the number of tasks related to UI optimization. Additionally, database query performance issues were more complex than initially expected, leading to an increase in the tasks related to database indexing and optimization.

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内容概要:本文提出了一种针对大规模电动汽车接入电网的双层优化调度策略,并基于IEEE33节点系统进行了建模与仿真分析,配套提供了完整的Matlab代码实现。该策略构建了上层电网运行优化与下层电动汽车充电调度的双层协同模型,综合考虑电网负荷削峰填谷、电压稳定性维持以及电动汽车用户充电需求满足等多重目标,采用先进的优化算法实现对电动汽车集群的智能有序调度。研究详细阐述了双层模型的构建逻辑、目标函数设计、约束条件设定及迭代求解流程,有效降低了电网峰谷差,提升了配电系统对可再生能源的消纳能力,兼具扎实的理论深度与明确的工程应用前景。; 适合人群:电气工程、电力系统及其自动化、能源系统优化等相关专业的研究生、科研人员以及从事智能电网、电动汽车调度、分布式能源管理等领域工作的工程师和技术人员。; 使用场景及目标:①深入研究高比例电动汽车接入对配电网运行特性的影响机制;②掌握电力系统双层优化建模方法及其在实际系统中的求解技巧;③实现电动汽车集群的协同调度与车网互动(V2G)优化控制;④作为撰写学术论文、开展课题研究或复现高水平期刊成果的技术参考与代码基础。; 阅读建议:建议读者结合所提供的Matlab代码逐行理解双层优化模型的数学表达与程序实现细节,重点剖析上下层模型之间的信息交互机制与收敛判据,可通过调整电动汽车渗透率、充电行为参数或引入分布式电源等场景进行拓展性仿真,以深化对智能调度策略适应性的认识。

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