本文選題：竊電 + 電力負(fù)荷�。� 參考：《北京交通大學(xué)》2017年碩士論文

【摘要】：電力資源是人類社會(huì)中的最寶貴的資源,不僅人們的日常生活、工作、各種活動(dòng)依賴電力,生產(chǎn)與科學(xué)研究也同樣離不開電力資源。電力供應(yīng)出現(xiàn)問題會(huì)導(dǎo)致城市照明系統(tǒng)、通訊系統(tǒng)、供水系統(tǒng)、交通信號(hào)系統(tǒng)等基礎(chǔ)設(shè)施的失效,嚴(yán)重影響人們的正常生活秩序,可以說現(xiàn)如今人類社會(huì)已經(jīng)完全離不開電力系統(tǒng)了�，F(xiàn)如今,某些電力使用者受利益驅(qū)使會(huì)使用不正當(dāng)手段來進(jìn)行竊電,給國家電力資源造成巨大的損害。為了避免和打擊竊電行為,維護(hù)正常的用電秩序,提高供電部門的經(jīng)濟(jì)效益和社會(huì)效益,對(duì)用電用戶的用電情況的查看和數(shù)據(jù)分析建模已成為一種有效的采取措施的方式。本論文源自本人在西門子中國研究院實(shí)習(xí)期間的實(shí)習(xí)項(xiàng)目,旨在開發(fā)一個(gè)可以進(jìn)行電力數(shù)據(jù)采集、數(shù)據(jù)分析、數(shù)據(jù)展示的智能電網(wǎng)大數(shù)據(jù)平臺(tái)。本人在該項(xiàng)目中主要負(fù)責(zé)其防竊電和電力負(fù)荷子系統(tǒng)的設(shè)計(jì)和實(shí)現(xiàn)工作以及部分原始電力數(shù)據(jù)清洗工作。在項(xiàng)目開發(fā)過程中使用的技術(shù)主要有:EJB框架、RESTful架構(gòu),數(shù)據(jù)處理方面主要依賴于JSON數(shù)據(jù)解析。在項(xiàng)目開發(fā)過程中參考MVC設(shè)計(jì)模式進(jìn)行分層,并使用RESTful API進(jìn)行數(shù)據(jù)交互,使頁面顯示與業(yè)務(wù)邏輯完全分離,形成較好的可維護(hù)性、可擴(kuò)展性。原始電力數(shù)據(jù)清洗部分的主要是根據(jù)一些規(guī)則對(duì)電量和功率數(shù)據(jù)進(jìn)行異常數(shù)據(jù)處理和缺失數(shù)據(jù)補(bǔ)全的工作,這部分主要是使用MapReduce框架實(shí)現(xiàn)。本人在實(shí)習(xí)過程中獨(dú)立完成了防竊電與電力負(fù)荷子系統(tǒng)的全部模塊的設(shè)計(jì)與實(shí)現(xiàn),并在實(shí)現(xiàn)過程中對(duì)各個(gè)功能點(diǎn)進(jìn)行了測(cè)試。同時(shí),還負(fù)責(zé)了電量和功率數(shù)據(jù)清洗的工作。目前,該項(xiàng)目兩個(gè)子系統(tǒng)已經(jīng)完成基本模塊的開發(fā)和測(cè)試。
[Abstract]:Power resources are the most valuable resources in human society. Not only people's daily life, work, all kinds of activities depend on electricity, but also production and scientific research can not be separated from power resources.Problems in power supply will lead to the failure of infrastructure such as urban lighting systems, communication systems, water supply systems, traffic signal systems, etc., which will seriously affect the normal living order of people.It can be said that today's human society has completely inseparable from the power system.Nowadays, some power users, driven by interests, use improper means to steal electricity, causing great damage to the country's power resources.In order to avoid and crack down on electricity theft, to maintain the normal order of electricity consumption and to improve the economic and social benefits of power supply departments, it has become an effective way to take measures to check the electricity consumption of users and to analyze and model the data.This thesis is based on the internship project of Siemens China Research Institute, which aims to develop a smart grid big data platform which can be used for data acquisition, data analysis and data display.In this project, I am mainly responsible for the design and implementation of the anti-theft and electric load subsystem and part of the original power data cleaning.The main technologies used in the development of the project are the: EJB framework and restful architecture, and the data processing mainly depends on JSON data parsing.In the course of the project development, we refer to the MVC design pattern for stratification, and use RESTful API for data exchange, so that the page display is completely separated from the business logic, forming a better maintainability and extensibility.The original power data cleaning part mainly deals with the abnormal data and the missing data according to some rules. This part is mainly implemented by MapReduce framework.In the process of practice, I have independently completed the design and implementation of all modules of the anti-theft electricity and electric load subsystem, and have tested each function point in the process of implementation.At the same time, also responsible for the electricity and power data cleaning work.At present, the two subsystems of the project have completed the development and testing of basic modules.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP311.52;TM76

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