SX1272 RF NETWORK INTEGRATED SMART ENERGY MANAGEMENT SYSTEM FOR OPTIMIZED ELECTRICITY CONSUMPTION IN MSME INDUSTRIES

Abstract

A sx1272 rf network integrated smart energy management system for optimized electricity consumption in msme industries comprises RFTN_SEMNode (10), which is outfitted with a Raspberry Pi PICO Board (55), SX1272 RF Module (20), Current Sensor (45), DHT11 Sensor (40), TFT Display (15), RTC Module (30), SD Card Module (35), Relay Module (50), and Power Supply (25), data is wirelessly transmitted to the central hub for analysis and optimization the ESP32 Wifi Module, Raspberry Pi PICO Board, SX1272 RF Module, TFT Display, Indicator, and Power Supply equipped RFRN_SEMNode is used to aggregate data from multiple ESPTN_SEMNodes deployed across multiple MSME Industries and send it to a customized cloud server for in-depth analysis and insights on patterns of energy consumption.

Specification

Description:FIELD OF THE INVENTION
This invention relates to sx1272 rf network integrated smart energy management system for optimized electricity consumption in msme industries.
BACKGROUND OF THE INVENTION
Through a linked network of nodes, this innovative solution allows for the real-time monitoring and optimization of electricity use in MSME Industries. With the use of cutting-edge sensors and wireless connection technologies, it gathers information on energy use that includes temperature, ambient conditions, and current levels. This system enables MSME Industries to increase operational efficiency, save expenses, and encourage sustainable energy practices while upholding productivity and performance standards. It does this by advising users toward more effective usage habits and sending out notifications for anomalous consumption patterns.
This idea aims to address the problem of insufficient energy management systems that are specifically created for MSMEs, or micro, small, and medium-sized enterprises. Many MSMEs have difficulties related to rising electricity costs and inefficient energy use practices, mainly because they have limited access to advanced monitoring and optimization technologies. Traditional energy management solutions are often expensive, complex, and inadequate for MSMEs' size and capabilities.
US10545194B2: An electric power distribution system is used with an electric power source. The electric power distribution system includes a first device exchanging first electric power with the electric power source. The first device exchanges the first electric power with a plurality of second devices and meters first electric energy corresponding to the first electric power. The second devices exchange the first electric power with the first device. Each of the second devices exchanges second electric power as at least part of the first electric power with a number of corresponding electric loads and meter second electric energy corresponding to the second electric power. A processor includes a routine that compares the metered first electric energy from the first device with a sum of the metered second electric energy from each of the second devices, and responsively determines proper or improper operation of the electric power distribution system.
RESEARCH GAP: A wireless nRF based Routing Solution for Small scale industries with IoT Technology is the novelty of the system.
US20200379947A1: Systems and methods for collecting, analyzing, billing and reporting data from intelligent electronic devices are provided. Also, systems and methods for managing sensor data are provided. In some embodiments, a system for managing sensor data may include intelligent electronic devices, a server, a plurality of client devices, and a network. Each of the intelligent electronic devices is configured to obtain sensor data related to power parameters distributed to a load. The server is configured to receive the sensor data from the plurality of intelligent electronic devices and store the sensor data in a database. Each client device is configured to retrieve the sensor data from the database. The network enables communication among the server, the plurality of intelligent electronic devices, and the plurality of client devices.
RESEARCH GAP: A wireless nRF based Routing Solution for Small scale industries with IoT Technology is the novelty of the system.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
This breakthrough enables MSME Industries to actively monitor and control their electricity consumption by combining IoT technology, wireless communication, and cloud-based analytics. This leads to increased operational efficiency and significant energy savings over time. The RFTN_SEMNode and RFRN_SEMNode are two different sorts of nodes that make up the network that powers the system. With components like a Raspberry Pi PICO Board, SX1272 RF Module, multiple sensors (such as current and temperature sensors), TFT Display, RTC Module, SD Card Module, Relay Module, and Power Supply, the RFTN_SEMNode functions as an energy efficiency management terminal installed within MSME Industries. These elements make it easier to track energy usage in industries in real time. The RFTN_SEMNode continuously collects data from deployed sensors, such as temperature and current usage. It then locally processes this data and shows it on the TFT Display for instant visualization. Simultaneously, it utilizes the SX1272 RF Module to send this information wirelessly to the adjacent RFRN_SEMNode.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
FIGURE 1: SYSTEM ARCHITECTURE
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms "a"," "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises," "comprising," "includes" and/or "including," when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", "third", and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
This breakthrough enables MSME Industries to actively monitor and control their electricity consumption by combining IoT technology, wireless communication, and cloud-based analytics. This leads to increased operational efficiency and significant energy savings over time. The RFTN_SEMNode and RFRN_SEMNode are two different sorts of nodes that make up the network that powers the system. With components like a Raspberry Pi PICO Board, SX1272 RF Module, multiple sensors (such as current and temperature sensors), TFT Display, RTC Module, SD Card Module, Relay Module, and Power Supply, the RFTN_SEMNode functions as an energy efficiency management terminal installed within MSME Industries. These elements make it easier to track energy usage in industries in real time. The RFTN_SEMNode continuously collects data from deployed sensors, such as temperature and current usage. It then locally processes this data and shows it on the TFT Display for instant visualization. Simultaneously, it utilizes the SX1272 RF Module to send this information wirelessly to the adjacent RFRN_SEMNode.
Data is received by the centrally located RFRN_SEMNode from several RFTN_SEMNodes that are spread throughout different MSME Industries. The RFRN_SEMNode is made up of a Raspberry Pi PICO Board, an SX1272 RF Module, an ESP32 Wifi Module, a TFT Display, an indicator, and a power supply. It processes and aggregates the data that is received. It then uses the ESP32 Wifi Module to send the processed data to a dedicated cloud server. Sophisticated analytics algorithms on the cloud server examine the data to identify trends in user behavior and identify areas that could be optimized for energy use. The production of useful insights and suggestions for improving energy efficiency inside MSME Industries is made easier by this cloud-based analysis. Utilizing insights gleaned from data gathered from both kinds of nodes, the intelligent energy efficiency and consumption management system directs users toward the most efficient ways to use electricity. Furthermore, it provides operators and authorities with real-time visibility into energy usage across all MSME Industries by generating warnings and notifications based on established criteria and consumption trends.
BEST METHOD OF WORKING
Real-time energy consumption monitoring through integrated sensors is made possible by the RFTN_SEMNode, which is outfitted with a Raspberry Pi PICO Board, SX1272 RF Module, Current Sensor, DHT11 Sensor, TFT Display, RTC Module, SD Card Module, Relay Module, and Power Supply. Data is wirelessly transmitted to the central hub for analysis and optimization.
The ESP32 Wifi Module, Raspberry Pi PICO Board, SX1272 RF Module, TFT Display, Indicator, and Power Supply equipped RFRN_SEMNode is used to aggregate data from multiple ESPTN_SEMNodes deployed across multiple MSME Industries and send it to a customized cloud server for in-depth analysis and insights on patterns of energy consumption.
Both of the motes have the SX1272 RF Module, which is utilized to facilitate wireless communication between nodes. This makes networking and real-time data transfer possible, which is crucial for monitoring and optimizing energy use throughout MSME Industries.
Critical data inputs on electricity consumption and environmental conditions are provided by the Current Sensor and DHT11 Sensor, both of which are connected to the RFTN_SEMNode. This improves the accuracy and scope of energy monitoring in MSME Industries.
The RFRN_SEMNode's ESP32 WiFi Module is utilized to facilitate smooth communication to a customized cloud server, making it easier to transmit aggregated data from RFRN_SEMNodes for in-depth research and insights on patterns of energy use across MSME Industries.
ADVANTAGES OF THE INVENTION
1. The RFTN_SEMNode serves as an energy efficiency management terminal for MSME Industries, allowing integrated sensors to monitor energy use in real time. Data is wirelessly transmitted to the central hub for optimization and analysis.
2. The RFRN_SEMNode, which functions as a central receiver, is an essential part of the invention. It gathers information from several RFTN_SEMNodes placed throughout different MSME Industries and sends it to a cloud server that has been specially designed. Comprehensive analysis and insights into patterns of energy consumption are made possible by this approach.
3. A key component in enabling wireless communication between nodes is the SX1272 RF Module. Real-time networking and data transfer are made possible by this capacity, which is crucial for tracking and maximizing energy use in MSME Industries.
4. The DHT11 Sensor and the Current Sensor, respectively, supply important data inputs on environmental conditions and electricity consumption. The accuracy and scope of MSME Industries' energy monitoring are improved by these sensors.
5. The ESP32 Wifi Module enables seamless connecting to a customized cloud server. This module makes it easier for aggregated data from RFRN_SEMNodes to be transmitted, allowing for thorough analysis and insights into patterns of energy consumption in MSME Industries.
, Claims:1. A sx1272 rf network integrated smart energy management system for optimized electricity consumption in msme industries comprises RFTN_SEMNode (10), which is outfitted with a Raspberry Pi PICO Board (55), SX1272 RF Module (20), Current Sensor (45), DHT11 Sensor (40), TFT Display (15), RTC Module (30), SD Card Module (35), Relay Module (50), and Power Supply (25), data is wirelessly transmitted to the central hub for analysis and optimization.
2. The system as claimed in claim 1, wherein the ESP32 Wifi Module, Raspberry Pi PICO Board, SX1272 RF Module, TFT Display, Indicator, and Power Supply equipped RFRN_SEMNode is used to aggregate data from multiple ESPTN_SEMNodes deployed across multiple MSME Industries and send it to a customized cloud server for in-depth analysis and insights on patterns of energy consumption.
3. The system as claimed in claim 1, wherein both of the motes have the SX1272 RF Module, which is utilized to facilitate wireless communication between nodes, this makes networking and real-time data transfer possible, which is crucial for monitoring and optimizing energy use throughout MSME Industries.
4. The system as claimed in claim 1, wherein critical data inputs on electricity consumption and environmental conditions are provided by the Current Sensor and DHT11 Sensor, both of which are connected to the RFTN_SEMNode, this improves the accuracy and scope of energy monitoring in MSME Industries.
5. The system as claimed in claim 1, wherein the RFRN_SEMNode's ESP32 WiFi Module is utilized to facilitate smooth communication to a customized cloud server, making it easier to transmit aggregated data from RFRN_SEMNodes for in-depth research and insights on patterns of energy use across MSME Industries.

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