AU2021100214A4 - IoT and Machine Learning based Building Energy Management System (iBEMS) - Google Patents

IoT and Machine Learning based Building Energy Management System (iBEMS) Download PDF

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Publication number
AU2021100214A4
AU2021100214A4 AU2021100214A AU2021100214A AU2021100214A4 AU 2021100214 A4 AU2021100214 A4 AU 2021100214A4 AU 2021100214 A AU2021100214 A AU 2021100214A AU 2021100214 A AU2021100214 A AU 2021100214A AU 2021100214 A4 AU2021100214 A4 AU 2021100214A4
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main
ibems
iot
irmts
data
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AU2021100214A
Inventor
Jagadeeshwaran A
Akash Kumar Bhoi
Sukant Kishoro Bisoy
Gyoo Soo Chae
Ajeya Jha
Inderpreet Kaur
Imran Sharieff Mohammed
Pradeep Kumar Mallick
Subhashree Mishra
Neeraj Priyadarshi
Arthi R
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A Jagadeeshwaran Dr
Bisoy Sukant Kishoro Dr
Mishra Subhashree Dr
R Arthi Dr
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A Jagadeeshwaran Dr
Bisoy Sukant Kishoro Dr
Mishra Subhashree Dr
Mohammed Imran Sharieff Dr
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Priority to AU2021100214A priority Critical patent/AU2021100214A4/en
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0205—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system
    • G05B13/026—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system using a predictor
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G05B19/0428—Safety, monitoring
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
    • H02J13/00022—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using wireless data transmission
    • H02J13/00026—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using wireless data transmission involving a local wireless network, e.g. Wi-Fi, ZigBee or Bluetooth
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30—Services specially adapted for particular environments, situations or purposes
    • H04W4/33—Services specially adapted for particular environments, situations or purposes for indoor environments, e.g. buildings
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30—Services specially adapted for particular environments, situations or purposes
    • H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B11/00—Automatic controllers
    • G05B11/01—Automatic controllers electric
    • G—PHYSICS
    • G08—SIGNALLING
    • G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C2201/00—Transmission systems of control signals via wireless link
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W84/00—Network topologies
    • H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W88/00—Devices specially adapted for wireless communication networks, e.g. terminals, base stations or access point devices
    • H04W88/02—Terminal devices
    • H04W88/04—Terminal devices adapted for relaying to or from another terminal or user
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02B90/20—Smart grids as enabling technology in buildings sector
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20—End-user application control systems
    • Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
    • Y04S40/126—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wireless data transmission
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
    • Y04S40/128—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment involving the use of Internet protocol

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Power Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)

Abstract

"IoT and Machine Learning based Building Energy Management System (iBEMS)" Exemplary aspects of the present disclosure are directed towards the IoT and Machine Learning based Building Energy Management System (iBEMS) which typical consists of plurality of IoT based Remote Management Terminals (iRMT) 101 installed in every distribution board (DB) of a building/commercial complex for power measurement and control. Wherein iRMT constitutes Noninvasive Current-Transformers (CTs) 101c and Potential-Transformers (PTs) 101d hooked up to ADE7816 Power IC 101b. iRMTs 101 send the power data to Main central console (iBEMS MAIN) 103 through Wi-Fi/RF 102 and there from there to user through in-build GSM700 module 103b. iRMTs executes relevant Machine-Learning Algorithms for suitably processing and storing the data for future analysis and for executing control strategies including the control of the Modular case circuit breaker (MCCB's) 101e. Main central console (iBEMS MAIN)103 executes relevant Machine-Learning Algorithms on entire system enabling energy auditing, load demand forecasting and analysis of power consumption. 1/3 103 102 101 106 101 I ____ ___ ___ ____ ___ ___ ____ ___ ___USER MEMSMAINInterface PC/Mobile 101 Wi-Fi/RF433 Mesh Connected 100 IoT BASED BUILDING ENERGY MANAGEMENT SYSTEM FIG I

Description

1/3
103 102 101
106
101 I ____ ___ ___ ____ ___ ___ ____ ___ ___USER
MEMSMAINInterface PC/Mobile
101
Wi-Fi/RF433 Mesh Connected
100 IoT BASED BUILDING ENERGY MANAGEMENT SYSTEM
FIG I
1. TITLE OF THE INVENTION: " IoT based Building Energy Management System (iBEMS)"
2. PREAMBLE TO THE DESCRIPTION
The following specification particularly describes the invention and the manner in which it is to be performed
3. DESCRIPTION
TECHNICAL FIELD
[0001] The present disclosure generally relates to the field of electrical power distribution and management in a large establishment. More particularly, the present disclosure relates to the implementation of Internet of Things (IoT) -based building electric energy monitoring, power data storing, power data analyzing, Load predicting, and controlling systems.
BACKGROUND
[0002] Energy management plays a crucial role for an industry or a company for decreasing the losses, reduce the unwanted usage and meeting future demand. Energy auditors generally use different strategies for energy management. Typically, they collect the data manually from each distribution board/node and note the various measurements of electrical consumption with respect to time. They tabulate the readings and make analysis and use to ascertain the reasons for such values and proposes various solutions. The entire process is termed as energy audit and this plays a key role in building energy management system.
[0003] Electrical engineers often subject to predict the load or forecast the consumption for commissioning or decommissioning a load. If the load calculation, previous data is handily available then the work will be an easy task, but due to the unavailability of tools makes this process tedious one. And also the buildings and structures will be more in a commercial as well as industrial establishment which makes it difficult to implement IoT based components.
[0004] In a prior art document 2844/CHE/2012 had made such an attempt to install a device in addition to commonly used energy meter for doing power, energy calculations, and analyzation and representations. But this system has failed to establish the concept of management as there is no control elements present and it also failed in establishing hoe user can interact with the system.
[0005] Another prior art document Dr.E.Mohan et al in their application 201941039270 titled GSM Based Real-Time Energy Management System, has discussed about Automatic Meter Reading (AMR) system with Digital energy meters embedded with GSM modem capable of E billing system at the power provider side; and said digital energy meters configured to compute the power usage and forward by short messaging service (SMS). This system limitation is its applicability to only one-phase and that to note the readings. This system fails to describe data storage or redundancy of communication.
[0006] Another prior art document PCT/US2017/056790 has presented an energy meter capable of measuring actual, real, reactive energy, phase angles, could transmit the GPS location, can control the devices, and also has RFID, WiFi, sound detector and many more sensors. This makes the system complex and expensive. There is a separate need for energy meter and no specific information has been given regarding the data store and retrieval.
[0007] Reference is again made to patent application 202011005592 which has revealed about usage of FOG technology for fusion billing that performs real-time data collection at sensor node to know the consumption at any moment which is energy efficient.
[0008] In another reference made in patent application 201941004621 titled an IOT Fog based power distribution system for smart energy management and a method thereof; in this a FOG agent is used to collect data from the metering devise and reciprocate the same to the user device. It also embedded several features to predict the consumption, ranking the load meters, user intimation about load demand and executing different strategies set by user etc., This system hasn't described the data collection, storage, and transmission systems.
[0009] Reference is again made to literature Yue, Jingpeng, et al. "Cloudfog architecture based energy management and decision-making for next-generation distribution network with prosumers and internet of things devices", Applied Sciences 9.3 (2019): 372 that provide real time energy management system for distributed network.
[0010] Another prior art document is known from literature Hussain, Md, Mohammad Saad Alam, and M. M. Beg. "Fog computing in IoT aided smart grid transition-requirements, prospects, status quos and challenges" arXiv preprint arXiv:1802.01818 (2018) is the performance of fog based smart grid. It discloses the benefits by using the fog device to remove the latency in the smart grid.
[0011] Reference is made to US20110029461A1 that discloses about dynamic electrical power pricing communication system. The solution provided therein includes a system comprising at least one computer system, at least one memory, a data analysis application that receives status information from residential consumers, and analyzes the status information.
[0012] Another reference is made to US9569804B2 that discloses a system for energy consumption and energy demand management, the system comprising one or more processors in a cloud-based platform for collecting energy interval data of a building with a fixed time interval, the 10 energy interval data indicative of an energy use associated with the building, collecting local historical weather data associated with the building, creating a statistical model of building energy use based on local weather and analyzing paired energy interval data and local historical weather data.
[0013] All publications herein are incorporated by reference to the same extent as if each individual publication or patent application were specifically and individually indicated to be incorporated by reference. Where a definition or use of a term in an incorporated reference is inconsistent or contrary to the definition of that term provided herein, the definition of that term provided herein applies and the definition of that term in the reference does not apply.
SUMMARY
[0014] The following presents a simplified summary of the disclosure in order to provide a basic understanding of the reader. This summary is not an extensive overview of the disclosure and it does not identify key/critical elements of the invention or delineate the scope of the invention. Its sole purpose is to present some concepts disclosed herein in a simplified form as a prelude to the more detailed description that is presented later.
[0015] Exemplary embodiments of the present disclosure are directed towards the IoT based Building Energy Management System (iBEMS) 100.
[0016] An exemplary object of the present disclosure is directed towards a data acquisition system consisting ofIntelligent Remote Management Terminals (iRMT) 101 capable of capturing electrical power usage data of the particular.
[0017] Another exemplary object of the present disclosure is directed towards the integration of ESP32 101a Microcontroller as IoT based Remote Management Terminal (iRMT) 101 which aggregates the data received from the current transformer sensor 101c and potential transformer sensor 101d through an advanced power IC ADE7816 101b. All these data will be sent to main user console for data storage and decision making. This data will be periodically dumped on to micro SD card mounted on to ESP32 board 103e..
[0018] Yet another exemplary object of the present disclosure is directed towards central main console iBEMS MAIN 103which collects the data from all iRMTs 101 or plurality of iRMTs and store the data in onboard SD 103e memory card. And also transfers the said data to cloud aggregators 104 and 105. The AWS cloud platform 104 gives flexibility to the user to view, analyze, and control the system. Whereas MATLAB ThinkSpeak 105 gives the user to visualize, analyze, and predict the demand forecast over time.
[00019] An exemplary aspect of the present subject matter is directed towards communication between iRMTs 101 and iBEMS MAIN 103. The communication is based on mesh network 102 where the devices communicate through Wi-Fi and each device act as a node that is a transceiver.
[00020] Another exemplary aspect of the present disclosure is directed towards a GSM700 module capable of transmitting data through GPRS packets thereby forming internet connectivity 107 between iBEMS MAIN 105 and Cloud Aggregators 104 and 105.
Brief Description of the Drawings
[00021] In the following, numerous specific details are set forth to provide a thorough description of various embodiments. Certain embodiments may be practiced without these specific details or with some variations in detail. In some instances, certain features are described in less detail so as not to obscure other aspects. The level of detail associated with each of the elements or features should not be construed to qualify the novelty or importance of one feature over the others.
[0022] FIG.1 is a diagram depicting a cloud-based energy management system, according to an exemplary embodiment of the present disclosure.
[0023] FIG. 2 is a Block diagram of I o T b a s e d Remote Management Terminal (iRMT) 101 and its plurality, according to an exemplary embodiment of the present disclosure.
[0024] FIG. 3 is a diagram depicting the structure and true image of the IoT based Building Energy Management System (iBEMS) Main central console 103, according to an exemplary embodiment of the present disclosure.
Detailed Description of Example Embodiments
[0025] It is to be understood that the present disclosure is not limited in its application to the details of construction and the arrangement of components outlined in the following description or illustrated in the drawings. The present disclosure is capable of other embodiments and of being practiced or of being carried out in various ways. Also, it is to be understood that the phraseology and terminology used herein is for the purpose of description and should not be regarded as limiting.
[0026] The use of "including", "comprising" or "having" and variations thereof herein is meant to encompass the items listed thereafter and equivalents thereof as well as additional items. The terms "a" and "an" herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced item. Further, the use of terms "first", "second", and "third", and the like, herein do not denote any order, quantity, or importance, but rather are used to distinguish one element from another.
[0027] Referring to FIG. 1 is a diagram 100, depicting a building energy management system (BEMS) whose function is to monitor and control the electrical system through cloud computing technology. More precisely the energy consumption, its pattern, and control strategy are the main constituents involve in it. The FIG 1 depicts the Remote Management Terminal (iRMT) 101 or plurality of iRMTs which play a vital role in acquiring the power data of that hooked up circuit, controlling the MCCBs 10le and sending the data to iBMES MAIN 103. Depending upon building size and load requirement number of iRMTs 101 can be deployed and these iRMTs are connected in such a way that all acts as WiFi transceivers and they don't require any active internet. Each iRMT acts as a node in a mesh connection 102 with a WiFi as well as RF transceiver as a secondary communication system to establish a reliable network. These iRMTs are assigned with unique internet protocol identification numbers (IP-ID) and they will send the power data received and compelled through sensors and power IC to iBEMS MAIN 103 through mesh network 102. This data will be displayed on the iRMTs 101 and BEMS MAIN 103 OLED display with a refreshing rate of 20Sec. Then this power data stamped with a unique ID of RMTs is saved on to onboard SD memory card 103e and then transmitted to cloud platforms through internet 107. The GSM module 103b sends this data through General Packet Radio Service (GPRS) to cloud platforms both Amazon Web Services (AWS) 104 and MATLAB ThinkSpeak 105.
[0028] In accordance with a non-limiting exemplary embodiment of the present subject matter, FIG. 2 is a representation of Remote Management Terminal (RMT) 101 which consists of an ESP32 microcontroller l0la-I with an OLCD display 10la-2 backed up with a LiPo battery 10la-3. RMT further consists of a Power IC ADE7826 101b which is 40 pin IC capable of measuring six current signals and one voltage signal from the noninvasive current transformer and Rogowski coil sensors 101c with <0.1% error in active and reactive energy over a dynamic range of 1000:1. This power IC further capable of computing power data such as active, actual, and reactive powers along with instantaneous and RMS current and voltage measurements. This Power IC 101b supports PCI/1 2 C communication protocol for direct access of ADC pins and other ICs. The ESP32 MCU 101a is a WiFi/RF/Bluetooth enabled device with 4 MB Flash 2
MB PSRAM. The device provides a rich set of peripheral interfaces including SPI, 12S, UART, 12C, LEDPWM, LCD interface, camera interface, ADC, DAC, touch sensor, temperature sensor, as well as 43 GPIOs. It also includes a full-speed USB On-The-Go (OTG) interface to enable USB communication. All these specifications of ESP32 are just enough for the present invention and hence all other MCUs such as Arduino, Raspberry Pi, FPGAs have been set aside.
[0029] Further, the ESP32 MCU 101a collects the data from the power IC l0la-I through the 12C communication protocol and displays the data on OLED display 101a-2. This data can't be store on the RMTs due to low memory and hence this data is transmitted to BEMS MAIN 103 through mesh network 102. This power data encompasses RMT unique ID and time stamping. Further, all RMTs use in-build WiFi functionality of ESP32 101a-lwhich allows them to acts as transceivers thereby removes the necessity of WiFi Modems. Any RMT can act as a bridge between individual RMTs 101 to BEMS MAIN 103.
[0030] Further, the ESP32 MCU 101a is capable of executing commands to control the on or off status of connected MCCBs 101e. The Modular Case Circuit baker MCCB 101e is a circuit breaker that can makes or breaks an electrical power circuit by user command. Once the relay coil of MCCB 10le is excited the contacts will be opened and the circuit is isolated. Similarly, if relay contacts are de-energized then contacts will be closed to make the circuit. All the MCCBs are situated in a closed enclosure called a distribution board (DB). The ESP32 l0la-I will update the status of the MCCBs state every 20 seconds to the iBEMS MAINs 103 and cloud platform 104.
[0031] In an embodiment a system of Cloud architecture by MATLAB ThinkSpeak is used. ThingSpeak is an open data platform for the Internet of Things. iBEMS MIAN can communicate with ThingSpeak using a RESTful API, and either data can be made private, or make it public. ThingSpeak provides an online text editor to perform data analysis and visualization using MATLAB. A logic has been created which triggers a command to perform actions such as running regularly scheduled MATLAB code or sending a tweet when data passes a defined threshold. The MATLAB codes can be plotting a chart, predicting the demand cycle, forecasting maximum demand time and duration, Graphical display options, Graphical display of power data. Further, iBEMS MAIN 103 will send the data to this cloud platform 106 and the data will be directly posted on to the respective channel and field. The data will be plotted in real-time on the graph as per the time set to receive the consecutive data packets.
[0032] In an embodiment a relevant Machine Learning Algorithm based on random forest technique is deployed on the power data thus retrieved from all the iRMTs to ascertain the load forecasting. iBEMS-MAIN intimate the user/operator on their user interface about the forecasted data.
[0033] In an another embodiment, a relevant Machine Learning Algorithm based on random forest technique is deployed on the power data to determine abnormal power usage in the building and if the load persist at high rate at long duration, iBEMS-MAIN intimate the user/operator on their user interface about the usage and disconnects the load by controlling MCCB 101e.
[0034] Although the present disclosure has been described in terms of certain preferred embodiments and illustrations thereof, other embodiments and modifications to preferred embodiments may be possible that are within the principles and spirit of the invention. 4. The device as claimed in claim 1, wherein the IoT based Remote Management Terminals (iRMTs) 101 and BEMS MAIN 103 are capable of executing Machine Learning Algorithms to predict the Load and high power usage. The above descriptions and figures are therefore to be regarded as illustrative and not restrictive.

Claims (4)

STATEMENT OF CLAIMS We Claim:
1. loT based Building Energy Management System (iBEMS) comprising: Plurality of iRMTs deployed in all distribution boards (DB) and connected to IoT based Main central console (iBEMS MAIN) 103 through WiFi Mesh Network 102; and Where in the iRMT comprising of Long Range (LoRa) ESP32 101a MCU, Noninvasive Current Transformers (CTs) 101c, Potential Transformers (PTs) 101d, ADE7816 Power IC 101b and Modular case circuit breaker MCCB's 10le for power measurement and control; and
Main central console (BEMS MAIN) 103 consists of in-build GSM700 module 103b for internet connectivity 107 and SD card holder 103e for local data storage; and iBEMS MAIN 103 transfers data to MATLAB ThinkSpeak 105 and user interface through GPRS 107; and
2. The device as claimed in claim 1, wherein the IoT based Remote Management Terminal (RMT) 101 system consisting of Long Range (LoRa) ESP32 10la MCU, 6 number Noninvasive Current Transformers (CTs) 101c, one number Potential Transformers (PTs) 101d, ADE7816 PowerIC 101b and Modular case circuit breaker MCCB's 10le for power monitoring and control.
3. The device of claim 1, wherein the Main central console (BEMS MAIN) 103 which has in-build GSM700 module 103b for GPRS based internet connectivity 107 there by enabling to communicate in Wifi, Bluetooth, Radio Frequency and as well as GPRS so that reliable commination exists between user and iRMTs.
4. The device as claimed in claim 1, wherein the IoT based Remote Management Terminals (iRMTs) 101 and BEMS MAIN 103 are capable of executing Machine Learning Algorithms to predict the Load and high power usage.
4. The device as claimed in claim 1, wherein the IoT based Remote Management Terminals (iRMTs) 101 and BEMS MAIN 103 are capable of executing Machine Learning Algorithms to determine the high power usage and isolate the faulty section by operating relevant MCCB 101e.
AU2021100214A 2021-01-13 2021-01-13 IoT and Machine Learning based Building Energy Management System (iBEMS) Ceased AU2021100214A4 (en)

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