VISION-BASED OPERATOR WORKING HOUR MONITORING FOR FIXED GANTRY MILLING MACHINE WITHIN STEEL PLANTS

Abstract

Vision-based operator working hour monitoring for fixed gantry milling machine within steel plants comprises TVOWH_MFGMNode (200), which combines cloud data storage, AI-driven recommendations, and vision-based monitoring to maximize the productivity and working hours of Fixed Gantry Milling Machines in steel factories to enable real-time monitoring and optimization of Fixed Gantry Milling Machines within steel plants, the Raspberry Pi Processor serves as the central computing unit, it orchestrates the integration of live video-based vision technology, processes machine data, and facilitates seamless communication with the customized cloud server.

Specification

Description:FIELD OF THE INVENTION
This invention relates to vision-based operator working hour monitoring for fixed gantry milling machine within steel plants.
BACKGROUND OF THE INVENTION
The objective of this innovative technology is to revolutionize the oversight and enhancement of Fixed Gantry Milling Machines in steel manufacturing facilities. With the use of live video-based vision technology, it records important parameters like on/off schedules and records footage of machine activities in real-time. The gathered information is effortlessly transferred to a cloud server, where machine learning algorithms evaluate parameters entered by the operator, the amount of labor completed, and working hours to assess overall efficiency. After that, the system generates AI-driven improvement recommendations that can be accessed via an intuitive user interface. This gives authorities and operators remote access to important insights so they can take appropriate action.
The steel industry faces a significant problem in effectively monitoring and optimizing the operational performance of Fixed Gantry Milling Machines. The lack of an all-encompassing system for intelligent decision-making, data analysis, and real-time monitoring limits the industry's ability to optimize personnel productivity. Current methods often rely on human data entry and do not incorporate cutting edge technologies, leading to inefficiencies, imprecise performance evaluations, and lost potential for enhancement.
CN209954189U: The utility model discloses a longmen numerical control bull drilling and milling machine relates to the machining field, and the device includes lathe bed, workstation, main shaft system and separates the fender subassembly, and the workstation is located the top of lathe bed, the workstation is the transmission under the drive of driving piece, the main shaft system is located the one end of workstation, and two at least edges the brill that workstation width direction set up at the interval side by side mills the unit head, brill mills the processing that the unit head is used for the work piece, it includes an at least fender board to separate the fender subassembly, separate the fender board and follow the length direction of workstation sets up, per two all be equipped with one between the brill mills the unit head separate the fender board. The utility model provides a longmen numerical control bull milling and drilling machine is equipped with and contains the main shaft system that has a plurality of brill milling cutter heads and each brill milling cutter head has independent work interval, has solved the lower problem of milling and drilling machine machining efficiency.
RESEARCH GAP: Vision-Based Operator Working Hour Monitoring with AI and ML integration for Fixed Gantry Milling Machine is the novelty of the system.
CN109551016A: The invention discloses a kind of for processing the numerical control gantry Finish Milling Machine of straight-bar machines pedestal, comprising: lathe bed, table mechanism, two main shaft mechanisms and control device, table mechanism are slidable arranged on lathe bed, and straight-bar machines pedestal to be processed is driven to move along lathe bed; Two main shaft mechanisms are symmetrically set on lathe bed two sides, main shaft mechanism includes heel post, oblique column, main shaft, spindle box, spindle motor, heel post is connected to lathe bed side, oblique column is slidable arranged on heel post, spindle box is slidable arranged on the installation inclined-plane of oblique column, the feed motion of main shaft may be implemented by horizontal and inclination both direction adjusting, after main spindle's are fixed, spindle motor drives main shaft to rotate in spindle box; Control device, control device are mounted in the control cabinet of the lathe bed. The present invention can carry out Automatic Control, high-efficient, precision is high, at low cost, and may be implemented to carry out simultaneous processing to straight-bar machines pedestal different angle, different sides.
RESEARCH GAP: Vision-Based Operator Working Hour Monitoring with AI and ML integration for Fixed Gantry 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.
This cutting-edge system provides operators and authorities with an all-inclusive approach to workforce efficiency monitoring. It lets them monitor machine performance in real time and get insightful recommendations for enhancing efficiency. The TVOWH_MFGMNode is a specific component that powers this invention fundamentally. Key components included in this device are a Raspberry Pi Processor, Camera, GPU Stick, Relay Module, HMI Display, Keypad, Buzzer, and Power Supply. Monitoring and improving the productivity of Fixed Gantry Milling Machines in steel factories is the main goal of this innovation.
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 cutting-edge system provides operators and authorities with an all-inclusive approach to workforce efficiency monitoring. It lets them monitor machine performance in real time and get insightful recommendations for enhancing efficiency. The TVOWH_MFGMNode is a specific component that powers this invention fundamentally. Key components included in this device are a Raspberry Pi Processor, Camera, GPU Stick, Relay Module, HMI Display, Keypad, Buzzer, and Power Supply. Monitoring and improving the productivity of Fixed Gantry Milling Machines in steel factories is the main goal of this innovation.
The system starts up by continuously monitoring milling machine activities through the use of live video-based vision technologies. Real-time video from the camera is processed by the GPU Stick, which then uses a relay module to assess the machine's on/off schedule. This schedule is recorded by the Relay Module, and the information is sent to a specially designed cloud server together with other relevant characteristics. Machine learning algorithms are used to store and process machine-related data on the cloud server. The overall operating efficiency of the milling machines in the steel factory is determined by these algorithms, which also compute parameters entered by authorized operators and working hours.
Then, using the computed efficiency metrics and pertinent data, AI-based recommendations for enhancement are produced. Operators and authorities are presented with these recommendations via a Touch HMI Display that is built into the TVOWH_MFGMNode. Furthermore, the device's internet connectivity enables remote access to the data, efficiency measures, and AI recommendations via a Tailored Web Dashboard and a Tailored Mobile App.
BEST METHOD OF WOKING
At the heart of this breakthrough is the TVOWH_MFGMNode, which combines cloud data storage, AI-driven recommendations, and vision-based monitoring to maximize the productivity and working hours of Fixed Gantry Milling Machines in steel factories.
To enable real-time monitoring and optimization of Fixed Gantry Milling Machines within steel plants, the Raspberry Pi Processor serves as the central computing unit. It orchestrates the integration of live video-based vision technology, processes machine data, and facilitates seamless communication with the customized cloud server.
The camera is essential because it records live video footage of Fixed Gantry Milling Machines. This allows for precise tracking of on/off schedules and other parameters that are vital for determining working hours and overall efficiency in steel plants. Real-time vision-based monitoring and analysis is made possible by this.
In order to optimize the efficiency of Fixed Gantry Milling Machines within steel plants, the GPU Stick is used to process the captured live video data efficiently. This allows for the rapid analysis of machine operations and helps to accurately calculate working hours, work done quantity, and other crucial parameters.
The Relay Module is a crucial component of the innovation since it records the Fixed Gantry Milling Machines' on/off schedule, making it easier to track machine activity accurately. It also helps to transmit this data to the customized cloud server for thorough monitoring and efficiency calculations in steel plants.
The HMI Display functions as the user interface, giving authorities and operators instant access to machine data, efficiency metrics, and AI-driven recommendations. This improves the interactive experience and makes it easier to make decisions regarding the optimization of Fixed Gantry Milling Machines in steel plants.
ADVANTAGES OF THE INVENTION
1. At the core of this novel system is the TVOWH_MFGMNode, which combines AI-driven recommendations, cloud data storage, and vision-based monitoring in a seamless manner. The purpose of this integration is to maximize Fixed Gantry Milling Machine productivity and working hours in steel mills.
2. The Camera plays a vital role in real-time vision-based monitoring and analysis by recording live video footage of Fixed Gantry Milling Machines. This makes it easier to precisely track the on/off schedules and other variables needed to figure out working hours and overall productivity in steel mills.
3. The Relay Module is essential to the innovation because it accurately tracks machine operation by recording the Fixed Gantry Milling Machines' on/off schedule. It also helps to ensure that this data is transmitted to the customized cloud server seamlessly, allowing for thorough monitoring and efficiency calculations in steel plants.
4. The HMI Display serves as the user interface, providing operators and authorities with instant access to machine data, efficiency measures, and AI-driven recommendations. This improves the interactive experience and makes it easier to make decisions on how best to optimize Fixed Gantry Milling Machines in steel mills.
, Claims:1. A system of Vision-based operator working hour monitoring for fixed gantry milling machine within steel plants comprises TVOWH_MFGMNode (200), HMI Display (201), Buzzer (202), Camera (203), Power Supply (204), GPU Stick (205), Keypad (206), Relay Module (207), and Raspberry Pi Processor (208); wherein to enable real-time monitoring and optimization of Fixed Gantry Milling Machines within steel plants, the Raspberry Pi Processor serves as the central computing unit, it orchestrates the integration of live video-based vision technology, processes machine data, and facilitates seamless communication with the customized cloud server.
2. The system as claimed in claim 1, wherein the camera is essential because it records live video footage of Fixed Gantry Milling Machines, this allows for precise tracking of on/off schedules and other parameters that are vital for determining working hours and overall efficiency in steel plants, real-time vision-based monitoring and analysis is made possible by this.
3. The system as claimed in claim 1, wherein order to optimize the efficiency of Fixed Gantry Milling Machines within steel plants, the GPU Stick is used to process the captured live video data efficiently, this allows for the rapid analysis of machine operations and helps to accurately calculate working hours, work done quantity, and other crucial parameters.
4. The system as claimed in claim 1, wherein the Relay Module is a crucial component of the innovation since it records the Fixed Gantry Milling Machines' on/off schedule, making it easier to track machine activity accurately, it also helps to transmit this data to the customized cloud server for thorough monitoring and efficiency calculations in steel plants.
5. The system as claimed in claim 1, wherein the HMI Display functions as the user interface, giving authorities and operators instant access to machine data, efficiency metrics, and AI-driven recommendations, this improves the interactive experience and makes it easier to make decisions regarding the optimization of Fixed Gantry Milling Machines in steel plants.

Documents