دانلود مقاله کنتور هوشمند انرژی و سیستم مانیتورینگ با استفاده از IoT
خلاصه
معرفی
بررسی ادبیات
سیستم پیشنهادی
نتایج و بحث
محدوده آینده
نتیجه
منابع
Abstract
INTRODUCTION
LITERATURE SURVEY
PROPOSED SYSTEM
RESULTS AND DISCUSSION
FUTURE SCOPE
CONCLUSION
REFERENCES
چکیده
در زمان‌های اخیر، روش‌های کالیبراسیون انرژی با هدف تأثیرگذاری، عملکرد قابل اعتماد و مدیریت سیستم شهری به طور جهانی در حال گسترش هستند. تقاضای فزاینده برای نیرو در محیط فعلی، نصب اجباری کنتورهای انرژی و همچنین توسعه روش‌های جدید برای کالیبراسیون قرائت‌های کنتور و کنترل استفاده مؤثر از منابع انرژی را ضروری کرده است. AMR (سیستم خواندن کنتور خودکار) یکی از این مدرن سازی ها است. این از کنتورهای انرژی آنالوگ یا دیجیتال با کمک کنتورهای هوشمند استفاده می کند. در حال حاضر مقیاس انرژی به صورت دستی انجام می شود که در دنیای تقاضای شبکه های روزمره یک فرآیند زمان بر است و همچنین نیاز به نیروی کار ماهر دارد. مفهوم سیستم های AMR غلبه بر پیچیدگی ها در زمینه به سرعت در حال رشد مدیریت انرژی است. این مقاله یک کنتور انرژی هوشمند مبتنی بر اینترنت اشیا برای تشخیص دزدی برق پیشنهاد می‌کند. مدل پیشنهادی شامل حسگرهای Arduino UNO، ESP8266، AC713 و غیره است. AC713 با کمک ESP32 میزان مصرف فعلی را حس می کند و سپس به پلتفرم IoT منتقل می شود. اگرچه AMR یک روش بسیار موثر است، اما هزینه پروکسی کنتورهای انرژی موجود را توسط SEM (مجهز انرژی هوشمند) می‌کند که بسیار ناکارآمد است. در نتیجه، روش پیشنهادی بر تشخیص سرقت برق ناشی از دستکاری عمومی متمرکز است. مدل پیشنهادی با استفاده از نرم افزار BLYNK برنامه ریزی و در نرم افزار PROTEUS شبیه سازی شده است. سپس سیستم پیشنهادی با استفاده از نتایج شبیه‌سازی شده اعتبارسنجی می‌شود.
Abstract
In recent times, the energy calibration methods are universally expanding with the goal of effectuating, reliably operating, and managing the utility system. The growing demand for power in the current environment has necessitated the mandatory installation of energy meters, as well as the development of new methods for calibrating meter readings and governing the effective use of energy resources. AMR (Automatic Meter Reading system) is one such modernization. This employs analogue or digital energy meters with the assistance of smart meters. Currently, energy scaling is done by hand, which is a timeconsuming process in the world of day-to-day networking demand and also requires skilled labour. The concept of AMR Systems is to overcome complexities in the rapidly growing field of energy management. This article proposes a smart energy meter based on IoT to detect the power theft. The proposed model consists of Arduino UNO, ESP8266, AC713 current sensors, and so on. The AC713 senses current usage with the help of the ESP32, which is then passed to the IoT platform. Though AMR is a very effective method, it costs the proxy of existing energy meters by SEM (Smart energy meters), which is highly inefficient. As a result, the proposed method focuses on detecting the power theft caused by public tampering. The proposed model is programmed by using a BLYNK software and simulated in PROTEUS software. The proposed system is then validated by using the simulated results.
INTRODUCTION
People are currently exposed to a medium that provides extreme ultimatums. The major crisis in today's society is the energy crisis. The proposed solution provides an appropriate solution to control this issue. To deal with this, various methods are now available. One of these methods is to reduce domestic or household power consumption. The traditional method of meter reading requires a large number of hired hands to visit the habitat in person and take readings offline from the meter by checking each one individually. This procedure necessitates two-way cooperation as it is necessary for an authority to take readings in a house only when an individual is present in the house in order to avoid insecurities. This causes a lag in the private working lives of ordinary people because they must be present in person during this procedure. Furthermore, it is a laborious procedure that leads to chaos when a hired-hand is mistaken for any criminal activities. "Monitoring of Energy Tampering using IoT" is a novel application that has been developed to control power tampering from anywhere in the world. This system has been modernized so that the data is updated every 10 to 12 seconds. This system is fundamentally designed to reduce power theft, which contributes to the reduction of commercial losses; direct tampering can be reduced by using this system. The proposed solution is cost-effective and provides significant assistance to the electricity authority. It is also a time-saving procedure for both authorities and general public.
CONCLUSION
In the digital age, the proposed solution focuses on the IoT's connection and associating factor. In this proposed design, an IoT and Microcontroller-based meter reading system is framed to continuously govern the scale of power and detect electricity tampering and notify the appropriate authority. The design's goals were met when the customer could access the energy meter from anywhere. The display of energy consumption units is shown in LCD displays. The benefits of SEM are that it saves time and eliminates the need to wait for customers to pay their bills. This enables energy providers to engage in activities against lawbreakers.