INTEGRATION OF CC3000 RF FOR HEALTH MONITORING SOLUTION IN LOW-VOLTAGE DISTRIBUTION TRANSFORMER PLATFORMS

Abstract

An integration of cc3000 rf for health monitoring system in low-voltage distribution transformer platforms comprises HMTS_LVDMote (100), which is outfitted with an ATmega128 MCU Board (700), CC3000 RF Module (200), vibration sensor (600), current sensor (500), temperature sensor (400), and power supply (300), the data is then wirelessly transmitted for real-time monitoring and analysis data received from the HMTS_LVDMote is processed by the HMRS_LVDMote, which is outfitted with an ATmega128 MCU Board, CC3000 RF Module, GSM Modem, TFT Display, Buzzer, and Power Supply, this information is used to provide trend analysis, critical alerts, and real-time monitoring information on the state of the Low-Voltage Distribution Transformer Platforms.

Specification

Description:FIELD OF THE INVENTION
This invention relates to integration of cc3000 rf for health monitoring solution in low-voltage distribution transformer platforms.
BACKGROUND OF THE INVENTION
By combining wireless sensor data collection, real-time monitoring, and cloud-based analytics, this creative solution provides a comprehensive method of keeping an eye on the condition of Low-Voltage Distribution Transformer Platforms. Through the use of CC3000 RF technology, cloud computing, and IoT concepts, a resilient Health Monitoring Solution for Low-Voltage Distribution Transformer Platforms is established.
The difficulty of effectively monitoring and maintaining Low-Voltage Distribution Transformer Platforms is the main emphasis of this innovation. These platforms are essential components of electrical distribution networks, and any issue or failure might lead to significant power supply disruptions, which would be inconvenient and costly. Reactive maintenance plans and delayed issue discovery are frequent outcomes of conventional monitoring approaches' reliance on manual processes and lack of real-time insights.
CA2916454C: A system can generate a heavy load pre-warning or an overload pre-warning for distribution transformers. Operation of the system can include selecting data records received from a plurality of data sources; converting the data records in the plurality of different data formats; filtering the data records in the database by using a predetermined threshold and matching each of the filtered data records with one of a plurality of distribution transformers; transforming the matched data records to a plurality of predefined predictor variables; selecting a subset of the plurality of predefined predictor variables; training, testing and tuning a model and forecasting at least one of heavy load or overload for each of the plurality of distribution transformers in a predetermined region.
RESEARCH GAP: Wireless Health Monitoring solution with CC3000 RF and IoT Technology for Low-Voltage Distribution Transformer is the novelty of the system.
US10281509B2: A metering apparatus enclosed within a first housing, the metering apparatus comprising a plurality of metering points, wherein the metering apparatus, via the plurality of metering points, measures electricity usage for each of a plurality of corresponding electricity consumer lines; the metering apparatus in communication with one or more sensors that sense environmental conditions in a second housing enclosing a distribution transformer that steps down voltage from a distribution level to a consumer level, wherein the sensors are not operable to sense environmental conditions in the first housing, and wherein the meter apparatus is operable to connect and disconnect service on one or more of the plurality of electricity consumer lines in response to information received from the one or more sensors, without affecting voltage supplied to the distribution transformer.
RESEARCH GAP: Wireless Health Monitoring solution with CC3000 RF and IoT Technology for Low-Voltage Distribution Transformer 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 creative approach creates a comprehensive health monitoring solution for low-voltage distribution transformer platforms by utilizing the advantages of CC3000 RF technology, cloud computing, and IoT concepts. Sensor data gathering, wireless connection, real-time monitoring, and cloud-based analytics are integrated to provide longer asset lifespans, better maintenance plans, and increased operational efficiency. The gadgets HMTS_LVDMote and HMRS_LVDMote are at the heart of this breakthrough. The data acquisition unit is the HMTS_LVDMote, which is furnished with an ATmega128 MCU Board, a CC3000 RF Module, and a number of sensors, including temperature, current, and vibration sensors. The Low-Voltage Distribution Transformer's health parameters are continuously monitored, and any deviations from standard operating circumstances are detected. Using the CC3000 RF Module, the HMTS_LVDMote wirelessly transfers the pertinent data it has collected from the sensors to the HMRS_LVDMote device. The HMRS_LVDMote is the receiving and display unit for the transmitted data. It consists of comparable hardware components with other capabilities including a GSM modem, TFT display, and buzzer.
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 creative approach creates a comprehensive health monitoring solution for low-voltage distribution transformer platforms by utilizing the advantages of CC3000 RF technology, cloud computing, and IoT concepts. Sensor data gathering, wireless connection, real-time monitoring, and cloud-based analytics are integrated to provide longer asset lifespans, better maintenance plans, and increased operational efficiency. The gadgets HMTS_LVDMote and HMRS_LVDMote are at the heart of this breakthrough. The data acquisition unit is the HMTS_LVDMote, which is furnished with an ATmega128 MCU Board, a CC3000 RF Module, and a number of sensors, including temperature, current, and vibration sensors. The Low-Voltage Distribution Transformer's health parameters are continuously monitored, and any deviations from standard operating circumstances are detected. Using the CC3000 RF Module, the HMTS_LVDMote wirelessly transfers the pertinent data it has collected from the sensors to the HMRS_LVDMote device. The HMRS_LVDMote is the receiving and display unit for the transmitted data. It consists of comparable hardware components with other capabilities including a GSM modem, TFT display, and buzzer.
The HMRS_LVDMote receives data from the HMTS_LVDMote, processes it, and shows the results in real time on the TFT Display. This entails the display of trending data charts, real-time data updates, and crucial alerts that sound the buzzer in the event that the sensors identify any alarming conditions. In parallel, the information sent by the HMTS_LVDMote is routed to a customized cloud server that is made to manage and process incoming information. In this case, comprehensive data analysis-which includes trend analysis, condition monitoring, and the creation of useful insights-is carried out through the application of preset algorithms. Operators get access to this important data via an intuitive web dashboard that is linked to the customized cloud server. Operators can view the health condition of several Low-Voltage Distribution Transformers remotely by logging into their accounts. This facilitates prompt troubleshooting, proactive maintenance interventions, and optimal performance management to guarantee the distribution transformer platforms operate dependably and effectively.
BEST METHOD OF WORKING
Critical health data is collected from Low-Voltage Distribution Transformer Platforms using sensors by the HMTS_LVDMote, which is outfitted with an ATmega128 MCU Board, CC3000 RF Module, vibration sensor, current sensor, temperature sensor, and power supply. The data is then wirelessly transmitted for real-time monitoring and analysis.
Data received from the HMTS_LVDMote is processed by the HMRS_LVDMote, which is outfitted with an ATmega128 MCU Board, CC3000 RF Module, GSM Modem, TFT Display, Buzzer, and Power Supply. This information is used to provide trend analysis, critical alerts, and real-time monitoring information on the state of the Low-Voltage Distribution Transformer Platforms.
The HMTS_LVDMote and HMRS_LVDMote devices can communicate wirelessly thanks to the CC3000 RF Module, which is integrated into both motes. This allows for the smooth transfer of sensor data for the purpose of monitoring and analyzing Low-Voltage Distribution Transformer Platforms in real time.
The HMTS_LVDMote-connected Vibration, Current, and Temperature Sensors are used to gather vital information about the Low-Voltage Distribution Transformer Platforms' operational state. This information is critical for identifying potential problems, anomalies, and general health status for preventive maintenance and optimization.
The HMRS_LVDMote's embedded GSM modem is utilized to facilitate real-time SMS warnings and notifications, enabling communication with operators and guaranteeing prompt response to important faults or abnormalities found in the Low-Voltage Distribution Transformer Platforms.
To aid in prompt decision-making and response, the TFT Display interfaced on HMRS_LVDMote gives operators an easy-to-use interface for visualizing real-time data, trending information, and critical alerts pertaining to the condition of Low-Voltage Distribution Transformer Platforms.
ADVANTAGES OF THE INVENTION
1. This innovation's data collecting unit, the HMTS_LVDMote, uses sensors to collect critical health data from Low-Voltage Distribution Transformer Platforms and wirelessly transmits it for real-time monitoring and analysis.
2. The HMRS_LVDMote, which serves as the receiving and display unit, processes data from the HMTS_LVDMote to provide trend analysis, critical alerts, and real-time monitoring information about the condition of the Low-Voltage Distribution Transformer Platforms.
3. The CC3000 RF Module enables seamless transmission of sensor data for real-time monitoring and analysis of Low-Voltage Distribution Transformer Platforms by facilitating wireless communication between the HMTS_LVDMote and HMRS_LVDMote devices.
4. The Vibration, Current, and Temperature sensors are integral parts of the process and are vital in obtaining information about the Low-Voltage Distribution Transformer Platforms' operational state. They support proactive maintenance and optimization efforts by offering insightful information about prospective problems, abnormalities, and general health condition.
5. The GSM modem makes it easier to communicate with operators by allowing real-time SMS warnings or notifications. This guarantees that any serious problems or anomalies found in the Low-Voltage Distribution Transformer Platforms will be addressed quickly.
, Claims:1. An integration of cc3000 rf for health monitoring system in low-voltage distribution transformer platforms comprises HMTS_LVDMote (100), which is outfitted with an ATmega128 MCU Board (700), CC3000 RF Module (200), vibration sensor (600), current sensor (500), temperature sensor (400), and power supply (300), the data is then wirelessly transmitted for real-time monitoring and analysis.
2. The system as claimed in claim 1, wherein data received from the HMTS_LVDMote is processed by the HMRS_LVDMote, which is outfitted with an ATmega128 MCU Board, CC3000 RF Module, GSM Modem, TFT Display, Buzzer, and Power Supply, this information is used to provide trend analysis, critical alerts, and real-time monitoring information on the state of the Low-Voltage Distribution Transformer Platforms.
3. The system as claimed in claim 1, wherein the HMTS_LVDMote and HMRS_LVDMote devices can communicate wirelessly thanks to the CC3000 RF Module, which is integrated into both motes, this allows for the smooth transfer of sensor data for the purpose of monitoring and analyzing Low-Voltage Distribution Transformer Platforms in real time.
4. The system as claimed in claim 1, wherein the HMTS_LVDMote-connected Vibration, Current, and Temperature Sensors are used to gather vital information about the Low-Voltage Distribution Transformer Platforms' operational state, this information is critical for identifying potential problems, anomalies, and general health status for preventive maintenance and optimization.
5. The system as claimed in claim 1, wherein the HMRS_LVDMote's embedded GSM modem is utilized to facilitate real-time SMS warnings and notifications, enabling communication with operators and guaranteeing prompt response to important faults or abnormalities found in the Low-Voltage Distribution Transformer Platforms.
6. The system as claimed in claim 1, wherein to aid in prompt decision-making and response, the TFT Display interfaced on HMRS_LVDMote gives operators an easy-to-use interface for visualizing real-time data, trending information, and critical alerts pertaining to the condition of Low-Voltage Distribution Transformer Platforms.

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