SMART ENERGY METERING AND INFORMED DECISION MAKER BASED ON IOT TECHNOLOGY

Abstract

The titled invention “a smart energy metering and informed decision maker based on iot technology” empowers users to monitor, analyse, and optimize energy consumption, leading to cost savings, enhanced sustainability, and improved grid io efficiency. This invention typically includes a smart meter (1) ,a communication network (2),a data acquisition and processing system (3,a data analytics platform (4) ,an user interface (5) ,an iot devices (6) for controlling energy consumption; and a cloud platform (7).This invention find applications in residential, commercial, and industrial settings, enabling energy efficiency, demand-side management, and grid 15 optimization.

Specification

FIELD OF INVENTION
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The present invention is related to an internet of things domain. Particularly, the present invention is relates to developing a scalable and secure loT platform for comprehensive energy monitoring, emphasizing efficiency and sustainability in smart energy management. More particularly, the present invention is relates to a smart 10 energy metering and informed decision maker based on iot technology. This invention offers numerous advantages, including enhanced energy efficiency, reduced energy consumption, improved grid reliability, and the potential for personalized energy management. This invention can be applied in various sectors, including residential, commercial, and industrial settings, to optimize energy, usage, reduce costs, and 15 contribute to sustainable energy practices.
Prior Art:
This invention relates to a smart energy metering and informed decision maker based 20 on iot technology. Traditional solar energy systems rely on photovoltaic (PV) cells to convert sunlight into electricity. These cells absorb solar radiation and generate direct current (DC) electricity. The generated DC power is then typically converted to alternating current (AC) power for household or commercial use. While this technology has been widely adopted and proven effective, it is limited to daytime operation, relying 25 on sunlight as its primary energy source.
One of prior art US20200280771A1, titled "Smart energy metering system and method". Some embodiments include an electric meter assembly comprising a socket housing with a socket interface extending from its top side, and a removable or 30 portable meter coupled to the interface. The socket housing also includes a strap for attachment and a secondary housing containing a CT shunt and a switch assembly with an actuator accessible from the top. In certain implementations, the system incorporates a Customer and Distribution Automation Open Architecture. Additionally,


an loT router may facilitate communication between the electric meter assembly and other remote electronics.
Another prior art US20190086235A1, titled "Smart Power Meter". The invention 5 introduces a smart power meter equipped with a CPU, a measuring module for bidirectional electricity measurement, and a blockchain module for data interaction with the CPU, peer-to-peer electricity transactions within the blockchain network, and decentralized storage of electricity measurement and transaction data. By leveraging blockchain technology, the smart power meter ensures tamper-proof storage of final 10 electricity information and point-to-point transaction details on the distributed blockchain network. This enables the realization of decentralized power generation and storage, bidirectional measurement of electricity generation and consumption, and comprehensive management of electricity generation, transaction, and recording within a distributed smart microgrid.
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Another prior art CN111833578B, titled "Electricity consumption information acquisition system, NB-loT communication ' module and communication method thereof'. The invention pertains to a power consumption information acquisition system, an NB-loT communication module, and a communication method within the 20 wireless communication domain. The method involves reading an electric energy meter's communication address using a specific protocol. If successful, a protocol mark is set for the meter; otherwise, another protocol is used until a successful read and mark setting. When data retrieval is required, the method checks the meter's protocol mark. If it matches the set protocol, the data is uploaded directly to the master 25 station. If not, the data is read according to the marked protocol, reformatted to match the set protocol, and then uploaded to the master station.

Another prior art CN103257619B, titled "A kind of intelligent building energy Internet of Things and integrated approach thereof'. The invention details an intelligent building 30 energy Internet of Things system comprising distributed energy production, energy storage, building energy application, energy distribution, and intelligent energy service subsystems. The distributed energy production subsystem generates cooling and heating energy, which is then transported to the energy storage subsystem via the energy distribution subsystem. The intelligent energy service subsystem monitors

energy consumption and provides feedback to the energy storage subsystem, which in turn stores and distributes energy to the building energy application subsystem. The intelligent energy service subsystem collects and analyses energy consumption data, regulates the system, and optimizes the energy output of the distributed energy s production subsystem to match the demand of the.building energy application subsystem, ensuring efficient operation of the entire intelligent building energy Internet
of Things.
Another prior art CN106549632B, titled "A kind of folding photovoltaic and io photothermal switching type beam condensing unit of minute surface". The invention introduces a power consumption information acquisition system utilizing NB-loT technology, specifically designed for the electric power sector. This system, comprising a master station system, a remote wireless network, and a terminal acquisition layer, surpasses GPRS in stability and outperforms 470MHz micropower is wireless technology in coverage and mass access capabilities. By optimizing data transmission communication quality, it enhances power management efficiency, streamlines marketing services, reduces operational and maintenance costs, and establishes a robust technical foundation.
20 Another prior art CN110324880B, titled "Power utilization information acquisition system based on NB-loT (NB-loT) narrowband Internet of things and working method thereof'. The invention introduces a power consumption information acquisition system utilizing NB-loT technology, specifically designed for the electric power sector.
This system, comprising a master station system, a remote wireless network, and a 25 terminal acquisition layer, surpasses GPRS in stability and outperforms 470MHz micropower wireless technology in coverage and mass access capabilities. By optimizing data transmission communication quality, it enhances power management efficiency, streamlines marketing services, reduces operational and maintenance costs, and establishes a robust technical foundation.
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Existing smart energy metering and informed decision-making systems based on loT technology face several drawbacks, including high initial investment costs, potential cybersecurity vulnerabilities, complex integration with legacy infrastructure, and concerns_ about data privacy and security. Additionally, challenges like interoperability

issues between different loT devices and platforms, and the need for robust network connectivity in remote areas can hinder their widespread adoption and effectiveness.
Therefore, the present invention overcomes the drawbacks of the prior art by providing a smart energy metering and informed decision maker based on iot technology.
OBJECTIVE OF THE INVENTION
1. The principal object of this invention is to develop a smart energy metering and informed decision maker based on iot technology. 2. Another object of this invention is to continuously monitor and collect energy consumption data from various appliances and loads within a household or commercial setting. 3. Yet another object of this invention is to process and analyse the collected data to generate meaningful insights, such as energy consumption patterns, peak usage times, and potential areas for energy savings. 4. Another object of this invention is to provide remote access to energy consumption data and control over certain appliances or devices through a user-friendly interface. 5. Another object of this invention to identify opportunities to reduce energy consumption, such as optimizing appliance usage, adjusting thermostat settings, or adopting energy-efficient practices. 6. Another object of this invention is to help users lower their energy bills by reducing unnecessary energy consumption and taking advantage of time-of- use pricing or demand response programs. 7. Another object of this invention is to contribute to a more stable and efficient power grid by enabling demand response and load shifting capabilities. 8. Another object of this invention is to promote sustainable energy practices and reduce greenhouse gas emissions by minimizing energy waste. 9. Another object of this invention is to provide a seamless and intuitive user experience through a user-friendly mobile app or web interface 10. A further object of this invention is to ensure the security and privacy of user data by implementing robust cybersecurity measures.


BRIEF SUMMARY OF THE INVENTION
25-Npv-2024/140003/202441091526/Form 2(Title Page)
A smart energy metering and informed decision-maker system leverages loT technology to enable real-time monitoring, data collection, and remote management 5 of energy consumption. By integrating loT devices with energy meters, users can gain valuable insights into their energy usage patterns, identify areas for optimization, and make informed decisions to reduce energy consumption and costs. The system typically involves data collection from various sources, data analysis and visualization, remote access and control, and integration with energy management systems. 10 Ultimately, this technology empowers users to take control of their energy usage, reduce their environmental impact, and contribute to a more sustainable future.

BRIEF DESCRIPTION OF THE RELATED ART
15 The embodiment of the present invention is illustrated with the help of accompanying
drawings.
Figure 1. Show the working diagram of the Smart Energy Metering and Informed Decision Maker Based on IOT 20 Figure 2. Implementation of the Smart Energy Metering and Informed Decision Maker Based on IOT Figure 3. Show the prototype of the proposed system Figure 4. illustrate the flow diagram of invention Figure 5. Show the Experimental Results
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A smart energy metering system, powered by loT technology, revolutionizes the way we manage energy consumption. By integrating loT devices with traditional energy meters, these systems enable real-time monitoring of energy usage, providing valuable insights into consumption patterns. These systems collect data on various 30 parameters like electricity consumption, temperature, and humidity, and transmit it to a central platform for analysis.
The benefits of smart energy metering are multifaceted. They empower consumers to make informed decisions about their energy usage, leading to significant cost savings. -Additionally, these systems can help utilities optimize grid operations, improve energy

efficiency, and enhance grid reliability. Moreover, they can facilitate the integration of renewable energy sources and enable the implementation of demand-response
programs.
The main components of design and development a smart energy metering and informed decision maker based on iot technology, typically include:


Smart Meters: These advanced meters are capable of collecting real-time energy consumption data, such as voltage, current, power factor, and energy usage.
They can also communicate wirelessly with a central system.
2. Communication Network: A reliable communication network, such as cellular, Wi-Fi, or power line communication (PLC), is essential for transmitting data from smart meters to a central server or cloud platform.
3. Data Acquisition and Processing System: This system collects and processes data from smart meters, performs data cleaning, and stores it in a database.


Data Analytics Platform: This platform analyses the collected data to identify trends, anomalies, and potential energy-saving opportunities. It can generate reports and visualizations to help users understand their energy consumption patterns.
5. User Interface:
A user-friendly interface, such as a web portal or mobile app, allows users to access their energy consumption data, set energy-saving goals, and receive personalized recommendations.
6. loT Devices:
Additional loT devices, such as smart plugs, thermostats, and lighting controls, can be integrated with the system to provide more granular control over energy
usage.
7. Cloud Platform: A cloud platform can be used to store and process large amounts of data, enabling advanced analytics and machine learning techniques.
Generally, this invention enables real-time monitoring and analysis of energy consumption data, empowering users to make informed decisions, optimize energy usage, and reduce costs, ultimately contributing to a more sustainable future.
DETAILED DESCRIPTION OF THE INVENTION:
This innovative system leverages loT technology to revolutionize energy management. It comprises several interconnected components: smart meters, a communication network, a data acquisition and processing system, a data analytics platform, a user interface, loT devices, and a cloud platform.
Smart Meters (1) are the foundation of the system, continuously monitoring and collecting real-time energy consumption data, including voltage, current, power factor, and energy usage. They then transmit this data to the central server via the communication network (2).


This communication network (2) acts as the digital backbone, ensuring seamless communication between the smart meters and the central server. It utilizes various technologies, such as Wi-Fi, cellular, or power line communication, to transmit data reliably and efficiently. 5 Data acquisition and processing system (3), once the data reaches the central server, it is processed by this system. It cleanses the data, removes errors or inconsistencies, and stores it in a structured format within a database. This processed data is then made available to the data analytics platform.
This data analytics platform (4) delves deep into the processed data, employing io advanced analytics techniques and machine learning algorithms. It identifies trends, patterns, and anomalies in energy consumption, forecasts future usage, and pinpoints potential energy-saving opportunities.
User Interface (5) empowers users to access and understand their energy consumption data.. It provides real-time visualizations, historical data, and 15 personalized recommendations. Users can set energy-saving goals, track their progress, and receive alerts about potential energy waste. loT Devices (6) such as smart plugs, thermostats, and lighting controls, enable granular control over energy usage. They can be integrated with the system to automate energy-saving measures, such as scheduling appliance usage during off- 20 peak hours or adjusting temperature settings based on occupancy.
Cloud Platform (7) serves as the central repository for storing and processing vast amounts of energy data. It enables scalable data storage, advanced analytics, and secure data access. By leveraging cloud computing, the system can handle increasing data volumes and complex computations efficiently. 25 Through the seamless integration of these components, the smart energy metering system empowers users to make informed decisions, reduce energy consumption, and contribute to a more sustainable future.
METHOD OF PERFORMING THE INVENTION
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The smart meters (1) continuously collect real-time energy consumption data, which is then transmitted to the central server via the communication network (2) using various protocols. Upon receipt, the central server stores the incoming data for further processing and analysis.


The data acquisition and processing system (3) cleanses and pre-processes the raw data, which is then analysed by the data analytics platform to identify trends, patterns, and anomalies. Advanced analytics techniques (4), such as machine learning and artificial intelligence, are employed to extract valuable insights from the processed data. The system generates user-friendly reports and visualizations to represent the energy consumption data effectively.
The user interface (5) empowers users to access and interpret their energy consumption data, including real-time usage, historical trends, and personalized recommendations. It enables them to set energy-saving goals, track progress, and control loT devices (6) like smart plugs and thermostats to optimize energy usage.
The cloud platform (7) serves as a robust foundation for the smart energy metering system, securely storing and processing vast amounts of energy data. By leveraging advanced analytics and machine learning algorithms, the cloud enables the extraction of valuable insights from the data. Its scalability and flexibility ensure the system can accommodate increasing data volumes and evolving system requirements, ultimately empowering users to make informed decisions, reduce energy consumption, and contribute to a more sustainable future.
ADVANTAGES:
> It enables real-time monitoring of energy consumption, providing valuable insights into usage patterns. > By leveraging advanced analytics, it identifies opportunities for energy savings and optimizes energy usage. > The system empowers users to make informed decisions, reduce energy costs, and contribute to a more sustainable future. > Additionally, it enhances grid reliability and facilitates the integration of renewable energy sources.


A system for a smart energy metering and informed decision maker based on iot technology, comprising:
io
25-Npv-2024/140003/202441091526/Form 2(Title Page)
i. a smart meter (1) configured to collect real-time energy consumption data; ii. a communication network (2)for transmitting data from the smart meter to a central server; iii. a data acquisition and processing system (3) for processing the received data; iv. a data analytics platform (4) for analysing the processed data; v. an user interface (5) for displaying energy consumption information and enabling user interaction; vi. an iot devices (6) for controlling energy consumption; and vii. a cloud platform (7) for storing and processing data.


The system as claimed in claim 1, wherein the smart meter (1) is further configured to measure power quality parameters, such as power factor and voltage harmonics.
25 3. The system as claimed in claim 1, wherein the communication network (2) is a wireless network, such as Wi-Fi, cellular, or Zigbee.
4. The system as claimed in claim 1, wherein the data acquisition and processing system (3) is configured to perform data cleaning, normalization, and anomaly
30 detection.
5. The system as claimed in claim 1, wherein the data analytics platform (4) utilizes machine learning algorithms to identify energy consumption patterns and predict future usage


The system as claimed in claim 1, wherein the user interface (5) provides real­time energy consumption visualization and personalized energy-saving tips. 7. The system as claimed in claim 1, wherein the iot devices (6) include smart plugs, smart thermostats, and smart lighting controls.
8. The system as claimed in claim 1, wherein the cloud platform (7) is configured to provide secure data storage and access control; and enables remote monitoring and control of energy consumption.
25-Npv-2024/140003/202441091526/Form 2(Title Page)
9. A method for managing a smart energy metering and informed decision maker based on iot technology, comprising the steps of:


collecting real-time energy consumption data from a plurality of smart meters (1); b. transmitting the collected data to a central server via a communication network (2); c. processing the received data to identify trends, patterns, and anomalies; d. analysing the processed data to identify potential energy-saving opportunities; e. generating energy consumption reports and visualizations; f. providing the identified opportunities and generated reports to a user via a user interface (5); g. enabling the user to control energy consumption through iot devices (6);
and
h. storing and processing data on a cloud platform (7).

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