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INTEGRATED AI AND IOT-DRIVEN SYSTEM FOR SMART ENVIRONMENT CONTROL AND ENERGY OPTIMIZATION IN PUBLIC INFRASTRUCTURE

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INTEGRATED AI AND IOT-DRIVEN SYSTEM FOR SMART ENVIRONMENT CONTROL AND ENERGY OPTIMIZATION IN PUBLIC INFRASTRUCTURE

ORDINARY APPLICATION

Published

date

Filed on 19 November 2024

Abstract

Integrated AI and IOT-Driven System for Smart Environment Control and Energy Optimization in Public Infrastructure is the proposed invention. The proposed invention focuses on understanding the functions of Smart Environment Control. The invention focuses on analyzing the parameters of Energy Optimization in Public Infrastructure using algorithms of AI Approach.

Patent Information

Application ID202441089741
Invention FieldMECHANICAL ENGINEERING
Date of Application19/11/2024
Publication Number48/2024

Inventors

NameAddressCountryNationality
Dr Birudala Venkatesh ReddyAssistant Professor, Department of Electrical and Electronics Engineering, Sri Venkateswara College of Engineering, Tirupati- 517507IndiaIndia
A IndhujaAssistant Professor, Department of Computer Science and Engineering, SNS College of Technology, Coimbatore- 641108IndiaIndia
Asick Ali MAssociate Professor, Department of Mathematics, K S R College of Engineering, Tiruchengode- 637215IndiaIndia
Dr Kalpesh Rasiklal RakholiaAssistant Professor, Parul University, Vadodara- 391760IndiaIndia
Sapna Vijayabhai BhimajiyaniAssistant Professor, Department of IT, Parul University, Vadodara- 391760IndiaIndia
Dr Karan VermaAssociate Professor, Agronomy-Agriculture, Faculty of Agriculture, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, HaryanaIndiaIndia
Sanjay Laxman BhagatAssociate Professor, Chemical Department, PVP Institute of Technology, Budhgaon, Sangli.IndiaIndia
Gracelin Sheena BAssistant Professor, Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai- 600119IndiaIndia
Mohankumar SAssistant Professor, Department of M.Tech Computer science and Engineering, Erode Sengunthar Engineering College, PerunduraiIndiaIndia
S. BanupriyaAssistant Professor, Civil Department, St. Joseph's College of Engineering, OMR, Chennai- 119IndiaIndia
S. VanisriAssistant Professor, Department of MCA, M.Kumarasamy College of Engineering, Karur- 639113IndiaIndia
Jyoti Prasad PatraPrincipal Nigam Institute of Engineering and Technology, NIET UG PG Diploma Engineering, Odisha, India- 754006IndiaIndia

Applicants

NameAddressCountryNationality
Dr Birudala Venkatesh ReddyAssistant Professor, Department of Electrical and Electronics Engineering, Sri Venkateswara College of Engineering, Tirupati- 517507IndiaIndia
A IndhujaAssistant Professor, Department of Computer Science and Engineering, SNS College of Technology, Coimbatore- 641108IndiaIndia
Asick Ali MAssociate Professor, Department of Mathematics, K S R College of Engineering, Tiruchengode- 637215IndiaIndia
Dr Kalpesh Rasiklal RakholiaAssistant Professor, Parul University, Vadodara- 391760IndiaIndia
Sapna Vijayabhai BhimajiyaniAssistant Professor, Department of IT, Parul University, Vadodara- 391760IndiaIndia
Dr Karan VermaAssociate Professor, Agronomy-Agriculture, Faculty of Agriculture, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, HaryanaIndiaIndia
Sanjay Laxman BhagatAssociate Professor, Chemical Department, PVP Institute of Technology, Budhgaon, Sangli.IndiaIndia
Gracelin Sheena BAssistant Professor, Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai- 600119IndiaIndia
Mohankumar SAssistant Professor, Department of M.Tech Computer science and Engineering, Erode Sengunthar Engineering College, PerunduraiIndiaIndia
S. BanupriyaAssistant Professor, Civil Department, St. Joseph's College of Engineering, OMR, Chennai- 119IndiaIndia
S. VanisriAssistant Professor, Department of MCA, M.Kumarasamy College of Engineering, Karur- 639113IndiaIndia
Jyoti Prasad PatraPrincipal Nigam Institute of Engineering and Technology, NIET UG PG Diploma Engineering, Odisha, India- 754006IndiaIndia

Specification

Description:[0001] Background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0002] AI integration is the process of incorporating artificial intelligence (AI) into systems, applications, or processes to improve their functionality and efficiency. AI integration can help businesses automate tasks, make data-driven decisions, and improve user interactions. AI data integration uses machine learning algorithms to gather, clean, transform, and analyze data from different sources. This can help businesses gain insights and make better decisions.
[0003] A number of different types of power utilisation analysis systems that are known in the prior art. For example, the following patents are provided for their supportive teachings and are all incorporated by reference.
[0004] US20180262571A1: Currently there is no viable end to end integrated technology solution platform available to increase overall crop yield nor well-established communication platform nor infrastructure for agriculture management, logistics, storage, distribution and delivery. This patent is offering a global solution to this problem where it will provide a consolidated and integrated IoT (internet of things) system platform with AI (artificial intelligence) where data collection, monitoring, control and communication platform are all managed using a single platform. The utility model relates to the technical field of wireless sensing, specifically an agricultural IoT (Internet of Things) monitoring device based on optical fiber sensing, wherein the device can monitor the temperature, humidity, vibration and other parameters of an agricultural cultivation base. The device is characterized in that the device is provided with a microcontroller, a parameter recorder and the parameter recorder are connected with the sensors. For example: soil temperature sensor and humidity sensors, a soil moisture sensor, a soil conductivity sensor, an air temperature and humidity transducer, a soil salinity sensor, etc. The upper computer is connected with the parameter recorder and the air temperature and humidity transducer through a communication circuit and using Wi-Fi mesh network, data is transferred to a remote laptop or smartphone. Data is stored in cloud for predictive data analysis with AI and real time data analysis which automatically or remotely trigger proactive & preventive actions, thereby increasing crop yield, reduce water consumption and food waste during storage and streamlined logistics of food distribution to the market.
[0005] An "IOT-driven system" refers to a system where the primary function and decision-making are powered by data collected from interconnected devices within the "Internet of Things" (IOT), allowing for automated responses and intelligent actions based on real-time information gathered from sensors embedded in physical objects like appliances, vehicles, or industrial machinery; essentially, a system that operates and adapts dynamically based on data from connected devices across a network. The proposed invention focuses on analyzing the Energy Optimization in Public Infrastructure through algorithms of AI Approach.
[0006] Above information is presented as background information only to assist with an understanding of the present disclosure. No determination has been made, no assertion is made, and as to whether any of the above might be applicable as prior art with regard to the present invention.
[0007] In the view of the foregoing disadvantages inherent in the known types of power utilization analysis systems now present in the prior art, the present invention provides an improved system. As such, the general purpose of the present invention, which will be described subsequently in greater detail, is to provide a new and improved AI and IOT based techniques to optimize the power utilisation of public infrastructure that has all the advantages of the prior art and none of the disadvantages.
SUMMARY OF INVENTION
[0008] In the view of the foregoing disadvantages inherent in the known types of power utilisation analysis systems now present in the prior art, the present invention provides an improved one. As such, the general purpose of the present invention, which will be described subsequently in greater detail, is to provide a new and improved AI and IOT based techniques to optimize the power utilisation of public infrastructure which has all the advantages of the prior art and none of the disadvantages.
[0009] The Main objective of the proposed invention is to design & implement a framework of AI techniques for analyzing the parameters of Energy Optimization in Public Infrastructure. Integrated AI and IOT-Driven System is analyzed.
[0010] Yet another important aspect of the proposed invention is to design & implement a framework of IOT techniques that will consider on understanding the functions of Smart Environment Control. Integrated AI and IOT-Driven System is analyzed by predictive unit. The results of prediction are displayed on the display unit.
[0011] In this respect, before explaining at least one embodiment of the invention in detail, it is to be understood that the invention is not limited in its application to the details of construction and to the arrangements of the components set forth in the following description or illustrated in the various ways. Also, it is to be understood that the phraseology and terminology employed herein are for the purpose of description and should not be regarded as limiting.
[0012] These together with other objects of the invention, along with the various features of novelty which characterize the invention, are pointed out with particularity in the disclosure. For a better understanding of the invention, its operating advantages and the specific objects attained by its uses, reference should be had to the accompanying drawings and descriptive matter in which there are illustrated preferred embodiments of the invention.
BRIEF DESCRIPTION OF DRAWINGS
[0013] The invention will be better understood and objects other than those set forth above will become apparent when consideration is given to the following detailed description thereof. Such description makes reference to the annexed drawings wherein:
Figure 1 illustrates the schematic view of Integrated AI and IOT-Driven System for Smart Environment Control and Energy Optimization in Public Infrastructure, according to the embodiment herein.

DETAILED DESCRIPTION OF INVENTION
[0014] In the following detailed description, reference is made to the accompanying drawings which form a part hereof, and in which is shown by way of illustration specific embodiments in which the invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention, and it is to be understood that the embodiments may be combined, or that other embodiments may be utilized and that structural and logical changes may be made without departing from the spirit and scope of the present invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is defined by the appended claims and their equivalents.
[0015] While the present invention is described herein by way of example using several embodiments and illustrative drawings, those skilled in the art will recognize that the invention is neither intended to be limited to the embodiments of drawing or drawings described, nor intended to represent the scale of the various components. Further, some components that may form a part of the invention may not be illustrated in certain figures, for ease of illustration, and such omissions do not limit the embodiments outlined in any way. It should be understood that the drawings and detailed description thereto are not intended to limit the invention to the particular form disclosed, but on the contrary, the invention covers all modification/s, equivalents and alternatives falling within the spirit and scope of the present invention as defined by the appended claims. The headings are used for organizational purposes only and are not meant to limit the scope of the description or the claims. As used throughout this description, the word "may" be used in a permissive sense (i.e., meaning having the potential to), rather than the mandatory sense (i.e., meaning must). Further, the words "a" or "a" mean "at least one" and the word "plurality" means one or more, unless otherwise mentioned. Furthermore, the terminology and phraseology used herein is solely used for descriptive purposes and should not be construed as limiting in scope. Language such as "including," "comprising," "having," "containing," or "involving," and variations thereof, is intended to be broad and encompass the subject matter listed thereafter, equivalents, and any additional subject matter not recited, and is not intended to exclude any other additives, components, integers or steps. Likewise, the term "comprising" is considered synonymous with the terms "including" or "containing" for applicable legal purposes. Any discussion of documents, acts, materials, devices, articles and the like are included in the specification solely for the purpose of providing a context for the present invention.
[0016] In this disclosure, whenever an element or a group of elements is preceded with the transitional phrase "comprising", it is understood that we also contemplate the same element or group of elements with transitional phrases "consisting essentially of, "consisting", "selected from the group consisting of", "including", or "is" preceding the recitation of the element or group of elements and vice versa.
[0017] A "Smart Environment Control" refers to a system that uses interconnected sensors, actuators, and data analysis to automatically manage and optimize environmental conditions within a space, like a building or city, by adjusting factors like temperature, lighting, ventilation, and even waste management, aiming for improved energy efficiency, comfort, and sustainability, often leveraging technologies like the Internet of Things (IOT) to collect real-time data and make informed decisions.
[0018] "Energy optimization in public infrastructure" refers to the process of implementing strategies to minimize energy consumption and maximize efficiency within public buildings and infrastructure like streetlights, traffic signals, and water treatment plants, by utilizing technologies and practices that reduce waste and optimize energy usage, often through data analysis and smart controls, to achieve cost savings and environmental benefits. The proposed invention focuses on implementing the algorithms of IOT for studying the functions of Smart Environment Control.
[0019] Reference will now be made in detail to the exemplary embodiment of the present disclosure. Before describing the detailed embodiments that are in accordance with the present disclosure, it should be observed that the embodiment resides primarily in combinations arrangement of the system according to an embodiment herein and as exemplified in FIG. 1
[0020] Figure 1 illustrates the schematic view of Integrated AI and IOT-Driven System for Smart Environment Control and Energy Optimization in Public Infrastructure 100. The proposed invention 100 includes a public infrastructure 101 for analysis purposes. The analysis unit 102 will analyse the power requirement of public places 101. The artificial intelligence unit 103 will run predictive unit 104 to predict the power requirement and tips for optimizing it. The results of predictive unit 104 will be displayed on display unit 105. The IOT unit 106 will alert the analysis unit 102 at regular intervals.
[0021] In the following description, for the purpose of explanation, numerous specific details are set forth in order to provide a thorough understanding of the arrangement of the system according to an embodiment herein. It will be apparent, however, to one skilled in the art that the present embodiment can be practiced without these specific details. In other instances, structures are shown in block diagram form only in order to avoid obscuring the present invention.
, Claims:1. Integrated AI and IOT-Driven System for Smart Environment Control and Energy Optimization in Public Infrastructure, comprises of:
Analysis unit;
Artificial intelligence unit;
Predictive unit;
Display unit and
IOT unit.
2. Integrated AI and IOT-Driven System for Smart Environment Control and Energy Optimization in Public Infrastructure, according to claim 1, includes an analysis unit, wherein the analysis unit analyse the power requirement of public places.
3. Integrated AI and IOT-Driven System for Smart Environment Control and Energy Optimization in Public Infrastructure, according to claim 1, includes an artificial intelligence unit, wherein the artificial intelligence unit will run predictive unit.
4. Integrated AI and IOT-Driven System for Smart Environment Control and Energy Optimization in Public Infrastructure, according to claim 1, includes a predictive unit, wherein the predictive unit predict the power requirement and tips for optimizing it.
5. Integrated AI and IOT-Driven System for Smart Environment Control and Energy Optimization in Public Infrastructure, according to claim 1, includes a display unit, wherein the display unit will display the results of predictive unit.
6. Integrated AI and IOT-Driven System for Smart Environment Control and Energy Optimization in Public Infrastructure, according to claim 1, includes an IOT unit, wherein the IOT unit will alert the analysis unit at regular intervals.

Documents

NameDate
202441089741-COMPLETE SPECIFICATION [19-11-2024(online)].pdf19/11/2024
202441089741-DRAWINGS [19-11-2024(online)].pdf19/11/2024
202441089741-FORM 1 [19-11-2024(online)].pdf19/11/2024
202441089741-FORM-9 [19-11-2024(online)].pdf19/11/2024

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