12 group-topic selection and requirement analysis report

琥萝卜卜 2022-12-04 21:27:44
Responsible person blog Linkhttps://bbs.csdn.net/topics/610273248
The Link Your Classhttps://bbs.csdn.net/forums/MUEE308FZU202201
The Link of Requirement of This Assignmenthttps://bbs.csdn.net/topics/609330258
MU STU ID and FZU STU ID20124074_832001104
Video linkhttps://www.bilibili.com/video/BV1Ed4y147ua/?vd_source=c097d07b73ffad0fbcaf33c3a2e73b7c

Contents

  • 1. Team gathering
  • 1.1 Introduction of Division of Labor
  • 1.2 Team characteristics and advantages
  • 1.3 Team logo
  • 1.4 Group photo
  • 2. Start action
  • 2.1 Project Content Overview
  • 2.2 Contribution evaluation criteria
  • 2.3 Team member contribution ratio
  • 3. Drip Record
  • 3.1 mind map and burnout map
  • 3.2 UML
  • 3.3 learning progress
  • 3.4 The experience gained
  • 4. Video clip

1. Team gathering

1.1 Introduction of Division of Labor

Member 1:
Name: Pu Bingqian
Style: Perfectionist
Skills: C++, figma, PS, AE
Programming interests: UI, products, back end
Expected Software Engineering role: Product Manager , UI design

Member 2:
Name: Tan Hairuo
Style: Early done, early done
Skills: Basic Axure application, basic front-end development, and a little back-end development
Programming interests: UI design, front-end development
Expected Software engineering Roles: Front-end code writing , Post-processing of validation and reporting

Member 3:
Name: Huang Lei
Style: Don't want to rush ddl
Skills: C++, Python
Programming interests: Page development
Expected software engineering role: uml drawing , Front-end code writing

Member 4:
Name: Wenlin Huang
Style: Obsessive-compulsive format
Skills: UI design, a little front-end development
Programming interests: UI design
Expected Software Engineering roles: uml drawing , back-end code writing,

Member 5:
Name: Xu Shuyue
Style: Romantic
Skills: Axure Basic application, C++
Programming interests: UI design
Expected software engineering role: front-end development , ppt production

Member 6:
Name: ZHENGNI YAO
Style: funny
Skills: Axure Basic use ,C++ ,python
Programming interests: Back end programming
Expected software engineering role: back-end code writing,

Member 7:
Name: Wu Ruike
Style: Minimalist
Skills: UI design, basic knowledge of database use
Programming interests: UI design, blog writing
Expected software engineering role: back-end code writing , Post-processing of validation and reporting

1.2 Team characteristics and advantages

All the team members have some skills in front-end UI and back-end, and they complement each other and have strong learning ability. At the beginning of the project, we established a clear project goal and defined the division of labor. Our team has a harmonious communication environment, everyone is good at solving problems through communication and feedback.During the process of the project, we actively communicated with each other and had several group discussions to solve the difficulties together. At the same time reference to other more mature technology, and formed our own works. After long-term learning, running-in, adjustment and innovation, the team formed an active, efficient, cooperative and creative team, and finally got a satisfactory result

1.3 Team logo

img

1.4 Group photo

img

2. Start action

2.1 Project Content Overview

This product is based on authentic letter delivery. It takes time to send and receive an electronic letter with a strange pen-pal, just like a real letter needs to travel to reach the hand, allowing the user to experience a letter exchange.
本产品仿真实书信传递方面出发。与陌生笔友之间电子信件的接收发送需要时间,就像真实的书信需要经过跋涉才能到达手中,让用户体验到书信交流。

2.2 Contribution evaluation criteria

In order to more objectively reflect the different factors of each member's performance, some of them use a two-dimensional evaluation system:

Dimensions of task completion: Annual goals are mainly discussed by team members and the team leader, who has greater freedom to decide the proportion of "over-fulfilled/completed/incomplete". For example, most members can get a "done" rating.

Team contribution dimension: Again, strictly based on the percentage of people, identify the best 20% of the team, the middle 70%, and the 10% most in need of improvement. Under ideal conditions, the task is done well, and of course the contribution will be in the top 20%; Those who do the worst should contribute the lowest 10%. But in practice it is much more complicated, some people because the task is relatively simple, complete very well, but the contribution to the whole group is not so great, this kind of person can get [over complete,70%] position. Some people dare to do difficult things, the results may not be satisfactory, but is important to the team,[qualified,20%] should be a suitable evaluation.

2.3 Team member contribution ratio

memberProportion of contribution
BINGQIAN PU104.00
HAIRUO TAN99.44
ZHENGNI YAO99.42
SHUYUE XU99.40
WENLI HUANG99.38
LEI HUANG99.36
RUIKE WU99.00

3. Drip Record

3.1 mind map and burnout map

mind map

img


burnout map

img

3.2 UML

Login Module
Person in charge:BINGQIAN PU,
Description: User login or account registration interface, and it can also help the users to retrieve the forgotten password.
Problems faced by this part: Be not familiar with how a user's registration information is sent from the front end to the back end and how the back end determines whether the user's account and password are correct.
Problems solved: Orderly logical jump between registration, login, and password retrieval interfaces.
Attachment: (All UML diagrams of this part)

Write Module
Person in charge:HAIRUO TAN
Description: Functions include matching pen pals, writing letters, selecting letter stamps and checking delivery details.
Problems faced by this part: How do random egg drops or mail intercepts happen.
Problems solved: How to get the geographic location of two parties and calculate the distance between them->Find the relevant methods and codes to get location on CSDN
Attachment: (All UML diagrams of this part)

Stamp Collection Module
Person in charge:LEI HUANG
Description: Users can view all the stamps they own.
Problems faced by this part: A real-time update of the user's stamp status is required.
Problems solved: Self-designed and painted a variety of stamp styles->Draw directly inside Figma, with reference to the many stamp styles available.
Attachment: (All UML diagrams of this part)

Stamp Store Module
Person in charge:WENLING HUANG,
Description: Users can view all the different series of stamps on sale and see how many have been collected so far for each series. Users can also choose to buy all the stamps in the series or just a single stamp.
Problems faced by this part: The preset stamp series is rich, and the UI design of all series stamps has not been realized yet.
Problems solved: Design stamp styles in different series ->By using different materials to draw different styles of stamps in Figma.
Attachment: (All UML diagrams of this part)

附件:

uml.zip 635.32K

3.3 learning progress

WeekNew codeCumulative codeTime spent studying this week (hours)Cumulative learning time (hours)The knowledge learned
170070077uml diagram drawing
29001600815Basic framework for front-end code

3.4 The experience gained

Selection of UML design tools, reasons for selection and evaluation of tools after use.
We used the online site ProcessOn. Compared with other UML rendering software, it requires no application download and supports multi-person collaboration, greatly improving the working efficiency. In addition, there are many templates available on the site, and exporting images is easy.

4. Video clip

https://www.bilibili.com/video/BV1Ed4y147ua/?vd_source=c097d07b73ffad0fbcaf33c3a2e73b7c

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内容概要:本文研究了面向复杂海洋环境的无人水面艇(USV)编队控制问题,提出了一种双层模型预测控制(MPC)理论与鲁棒协同控制方法。上层负责编队构型的优化与全局路径规划,通过求解优化问题实现多艇协同构型的动态调整;下层基于非线性MPC框架实现各无人艇的运动控制与精确轨迹跟踪,充分考虑了系统动力学约束、外部环境干扰(如风浪流)及模型不确定性。通过引入鲁棒控制策略,增强了系统在复杂动态海洋环境下的抗干扰能力与控制稳定性。研究在Matlab平台上完成了算法的完整代码实现与仿真验证,结果表明所提方法能够有效实现多艇在复杂环境下的高精度、强鲁棒性协同编队控制。; 适合人群:具备自动控制、机器人、海洋工程或相关专业背景,熟悉Matlab/Simulink仿真工具,从事多智能体协同控制、无人系统自主导航或模型预测控制算法研究的研发人员与研究生。; 使用场景及目标:①为无人水面艇在复杂、动态、不确定的海洋环境下执行编队任务提供先进的控制理论与技术方案;②通过完整的Matlab代码实现,方便研究人员复现、验证、改进双层MPC与鲁棒协同控制算法;③促进模型预测控制与鲁棒控制理论在多智能体系统、无人装备协同作业等领域的深度融合与应用发展。; 阅读建议:建议读者结合提供的Matlab代码,深入剖析双层控制架构的设计逻辑、MPC优化问题的构建过程以及鲁棒性处理机制的具体实现,重点关注算法如何处理模型误差、外部干扰和系统硬约束,以全面掌握其在复杂场景下的工程应用潜力。

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