IOT-ENABLED CENTRALIZED ENERGY METER SOLUTION FOR FIXED BED MILLING MACHINE IN INDUSTRIAL SETTINGS

Abstract

An iot-enabled centralized energy meter system for fixed bed milling machine in industrial settings comprises CEMST_FBMNode, which is outfitted with a TI AM69 Processor Board, ESP12E Module, Current sensor, Relay, HMI Display, Indicator, and Power Supply, is utilized, this allows for real-time tracking, analysis, and management of energy consumption to improve efficiency and sustainability enable real-time monitoring and analysis of Fixed Bed Milling Machine energy usage, the TI AM69 Processor Board, which is integrated into CEMST_FBMNode, is utilized to orchestrate data flow, execute energy consumption algorithms, and facilitate communication between components.

Specification

Description:FIELD OF THE INVENTION
This invention relates to iot-enabled centralized energy meter solution for fixed bed milling machine in industrial settings.
BACKGROUND OF THE INVENTION
Modern energy monitoring system for Fixed Bed Milling Machines: an advanced solution for industrial settings looking to improve energy efficiency. Modern sensors and cloud computing enable the system to continuously track the energy usage of Fixed Bed Milling Machines in real time.
The problem of insufficient energy monitoring and optimization solutions for Fixed Bed Milling Machines in industrial settings is addressed by this innovation. There is currently a discernible lack of systems that provide real-time information on these devices' energy use, which limits operators' ability to identify inefficiencies and implement targeted optimization strategies. As a consequence, this leads to subpar energy use, increased operating costs, and an increased environmental impact.
US4422265A: A multi-station grinding machine has a worktable mounted on a machine bed to rotate about a principal axis. The worktable has a plurality of workpiece holding devices at equal angular intervals around the axis and uniformly spaced therefrom, each holding devices defining parallel to said principal axis a support axis for a workpiece to be held therein. A loading/unloading station and three work stations are positioned around the principal axes each work station including a grinding wheel. Table index device effects angular indexing of the table about said principal axis through a series of registered positions to bring the workpieces into precise register with the work stations in succession. Workpiece index device at each work station is selectively coupled to effect predetermined incremental indexing rotation of a workpiece to present preselected portions of the workpiece for engagement by the associated grinding wheel.
RESEARCH GAP: A IoT equipped solution to monitor the energy consumption of Fixed Bed Milling Machine is the novelty of the system.
CN202780719U: The utility model discloses a five-shaft numerically controlled engraving and milling machine which comprises a lathe body, a working platform, a pillar, an X axis slide carriage, and a Z axis slide carriage. A base seat is arranged on the working platform, the base seat is provided with two mounting arms, and a fixture which is used for clamping a workpiece which is to be machined is installed between the two mounting arms around a horizontal shaft in a rotary mode. A chuck substrate is arranged on the Z axis slide carriage, and a spindle chuck which is used for installing a milling cutter spindle is arranged on the chuck substrate in a rotary mode. The workpiece is automatically turned over through a rotary motor, and therefore manual secondary clamping is avoided, machining precision is greatly improved, machining time is saved, machining efficiency is improved, and the purpose that one person operates a plurality of lathes can be achieved. Through the rotation of the milling cutter chuck, the cutting angles of the milling cutter can be adjusted, and therefore machining precision and machining efficiency of curve surfaces and inclined surfaces of complex workpieces are improved.
RESEARCH GAP: A IoT equipped solution to monitor the energy consumption of Fixed Bed Milling Machine 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.
Using Internet of Things (IoT) technology and cloud infrastructure, the CEMST_FBMNode invention offers a comprehensive solution for tracking energy consumption in Fixed Bed Milling Machines. This allows for real-time analysis and optimization of energy usage in industrial settings. The technology helps manufacturing operations become more sustainable, more efficient, and use less energy by providing operators with insights that can be put into practice. In order to gather, process, and display data, the system essentially depends on an integrated network of sensors, CPUs, and cloud infrastructure. First, it uses a Current Sensor to continually monitor the electrical current that the Fixed Bed Milling Machine draws while it operates. This allows it to record energy usage data in real time for further study. The CEMST_FBMNode's central processing unit, a TI AM69 Processor Board, processes the collected current data next. This processor promotes communication between various system components, controls data flow, and runs pre-programmed algorithms for energy usage analysis.
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.
Using Internet of Things (IoT) technology and cloud infrastructure, the CEMST_FBMNode invention offers a comprehensive solution for tracking energy consumption in Fixed Bed Milling Machines. This allows for real-time analysis and optimization of energy usage in industrial settings. The technology helps manufacturing operations become more sustainable, more efficient, and use less energy by providing operators with insights that can be put into practice. In order to gather, process, and display data, the system essentially depends on an integrated network of sensors, CPUs, and cloud infrastructure. First, it uses a Current Sensor to continually monitor the electrical current that the Fixed Bed Milling Machine draws while it operates. This allows it to record energy usage data in real time for further study. The CEMST_FBMNode's central processing unit, a TI AM69 Processor Board, processes the collected current data next. This processor promotes communication between various system components, controls data flow, and runs pre-programmed algorithms for energy usage analysis.
The data on energy use is processed and then sent to an ESP12E Module, which creates a connection to the cloud. This module connects to a cloud service that was specially created to manage the energy monitoring needs of fixed bed milling machines. This server efficiently accepts, saves, and analyzes huge volumes of data since it is outfitted with the required infrastructure. The incoming energy consumption data is subjected to additional analysis within the Cloud server using predefined algorithms, producing a range of insights including real-time consumption metrics, trending data visualizations, and in-depth assessments of patterns of energy usage over time. After processing, the data is available online via a personalized web dashboard. The system also has an HMI Display that provides operators on the factory floor with real-time feedback. It displays important metrics and insights obtained from cloud-based analysis, allowing operators to easily monitor energy consumption and make decisions about machine optimization and usage.
BEST METHOD OF WORKING
For comprehensive energy monitoring and optimization of Fixed Bed Milling Machines in industrial settings, the CEMST_FBMNode, which is outfitted with a TI AM69 Processor Board, ESP12E Module, Current sensor, Relay, HMI Display, Indicator, and Power Supply, is utilized. This allows for real-time tracking, analysis, and management of energy consumption to improve efficiency and sustainability.
To enable real-time monitoring and analysis of Fixed Bed Milling Machine energy usage, the TI AM69 Processor Board, which is integrated into CEMST_FBMNode, is utilized to orchestrate data flow, execute energy consumption algorithms, and facilitate communication between components.
To facilitate the transmission of real-time energy consumption data from the CEMST_FBMNode system to a customized cloud server for thorough analysis and visualization, the ESP12E Module that is integrated into the system is used. This improves the monitoring and optimization capabilities for Fixed Bed Milling Machines in industrial environments.
To improve efficiency and sustainability in industrial settings, the CEMST_FBMNode system is equipped with a Current Sensor that is used to continuously monitor the electrical current drawn by Fixed Bed Milling Machines. This sensor provides vital real-time data on energy consumption that is used for analysis, optimization, and monitoring purposes within the CEMST_FBMNode system.
The CEMST_FBMNode's connected relay allows operators to remotely manage the power supply to Fixed Bed Milling Machines. This optimizes energy use and improves operational efficiency in industrial settings by allowing operators to make decisions based on real-time energy consumption data.
To optimize Fixed Bed Milling Machine operations and improve energy efficiency in industrial settings, the HMI Display, which is interfaced on CEMST_FBMNode, is used to give operators real-time feedback on energy consumption metrics derived from the CEMST_FBMNode system. This allows for immediate monitoring and decision-making.
ADVANTAGES OF THE INVENTION
1. In industrial settings, the CEMST_FBMNode provides a comprehensive energy monitoring and optimization solution designed specifically for Fixed Bed Milling Machines. It makes it possible to monitor, analyze, and manage energy use in real time in order to improve sustainability and efficiency.
2. The TI AM69 Processor Board, the CEMST_FBMNode system's core processing unit, controls data flow, carries out energy consumption algorithms, and promotes component connectivity. This makes it possible to track and analyze the energy consumption of Fixed Bed Milling Machines in real time.
3. Real-time energy consumption data from the CEMST_FBMNode system can be transmitted to a dedicated cloud server thanks to the ESP12E Module's smooth access to cloud infrastructure. This improves Fixed Bed Milling Machine monitoring and optimization capabilities in industrial settings.
4. The Current Sensor continuously measures the electrical current that Fixed Bed Milling Machines draw and provides vital real-time information on energy usage. The CEMST_FBMNode system uses this data for monitoring, analysis, and improvement, which eventually improves sustainability and efficiency in industrial settings.
5. Fixed Bed Milling Machine power supply is managed by operators thanks to the Relay built into the CEMST_FBMNode system. By minimizing energy usage and enhancing operational efficiency in industrial settings, this allows for the remote management of machine operations based on real-time energy consumption data.
, Claims:1. An iot-enabled centralized energy meter system for fixed bed milling machine in industrial settings comprises CEMST_FBMNode, which is outfitted with a TI AM69 Processor Board, ESP12E Module, Current sensor, Relay, HMI Display, Indicator, and Power Supply, is utilized, this allows for real-time tracking, analysis, and management of energy consumption to improve efficiency and sustainability.
2. The system as claimed in claim 1, wherein to enable real-time monitoring and analysis of Fixed Bed Milling Machine energy usage, the TI AM69 Processor Board, which is integrated into CEMST_FBMNode, is utilized to orchestrate data flow, execute energy consumption algorithms, and facilitate communication between components.
3. The system as claimed in claim 1, wherein to facilitate the transmission of real-time energy consumption data from the CEMST_FBMNode system to a customized cloud server for thorough analysis and visualization, the ESP12E Module that is integrated into the system is used, this improves the monitoring and optimization capabilities for Fixed Bed Milling Machines in industrial environments.
4. The system as claimed in claim 1, wherein to improve efficiency and sustainability in industrial settings, the CEMST_FBMNode system is equipped with a Current Sensor that is used to continuously monitor the electrical current drawn by Fixed Bed Milling Machines, this sensor provides vital real-time data on energy consumption that is used for analysis, optimization, and monitoring purposes within the CEMST_FBMNode system.
5. The system as claimed in claim 1, wherein the CEMST_FBMNode's connected relay allows operators to remotely manage the power supply to Fixed Bed Milling Machines, this optimizes energy use and improves operational efficiency in industrial settings by allowing operators to make decisions based on real-time energy consumption data.
6. The system as claimed in claim 1, wherein to optimize Fixed Bed Milling Machine operations and improve energy efficiency in industrial settings, the HMI Display, which is interfaced on CEMST_FBMNode, is used to give operators real-time feedback on energy consumption metrics derived from the CEMST_FBMNode system, this allows for immediate monitoring and decision-making.

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