AI-ENABLED PREDICTIVE INLINE DEVICE FOR HYDRAULIC PRESSURE AND FLOW MONITORING IN INDUSTRIAL STEEL BORING MILL LATHES USING NRF AND LORA MULTI-INTRANET NETWORK

Abstract

An ai-enabled predictive inline device for hydraulic pressure and flow monitoring in industrial steel boring mill lathes using nrf and lora multi-intranet network comprises BoarMonitoring Node (100) is designed for continuous and real-time monitoring of hydraulic parameters of the drum lathes used in the industrial steel boring mill and is equipped with a pressure sensor (103), flow sensor (107), temperature sensor (105), wireless communication module, data processing interface, and has its own power supply (106), this node assists in precise data capturing which allows for better and timely predictive maintenance once the data is sent to the intermediary nodes the Route Node consists of a control board, short-range wireless communication module, long-range communication module, indicator LED, and independent power supply, which increases the distance communication between the BoarMonitoring Node and the Gateway Node, this node guarantees good connectivity hence efficient relay of data required to ensure that active monitoring of the hydraulic network of the system is not disrupted.

Specification

Description:FIELD OF THE INVENTION
This invention relates to ai-enabled predictive inline device for hydraulic pressure and flow monitoring in industrial steel boring mill lathes using nrf and lora multi-intranet network.
BACKGROUND OF THE INVENTION
The advance is a hydraulic pressure and flow predictive inline gitor, oriented, to industrial steel boring mill lathe machines. The system is sensorized with a number of nodes that allow for the real time monitoring of movement of parameters such as pressure, flow rate, temperature, and other movement determinants of the machine. Nodes transmit information wirelessly which establishes a strong and efficient network that allows the transfer of information across long distances with minimal time delays. The collected data is submitted for further analysis and decision making on a cloud platform that has artificial intelligence and machine learning for real-time data analysis and predictive maintenance suggestions. This system allows the operators and authorized personnel to obtain critical information even when they are far from the site using a web-based secure dashboard which in turn reduces response time, the frequency of machine breakdowns and improve the efficiency of the organization.
This product helps to resolve the crucial issue of testing, diagnosing, and predicting the condition of hydraulic systems in steel boring mill lathes in the form of a single unit which maintains hydraulic fluid pressure and flow consistently. Most of the existing maintenance practices are reactive, which means causes of failure are dealt with only after the failure has already occurred. This creates a negative spiral; not only are the repairs expensive, but also repairs in hysteresis lead to downtimes which decrease productivity. This new idea seeks to address these issues by making it possible to monitor pressure stability and flow progress in addition to eliminating wear in real time. This makes it possible to use predictive maintenance technology so that operational costs are kept low, equipment service lives are made longer and the effectiveness and safety of industrial operation are improved.
CN205703256U: This utility model provides a kind of flexible automatic production line, including control station, 3 feed bins, truss upright-column, truss robot, 3 articulated arm robots, material transfer platform, the vertical deep hole drilling machine of double, the two-sided numerically controlled lathe of CKX, CK numerically controlled lathe, numerical control boring and milling lathes, bore Milling Machining lathe and 5 sensors, described truss robot, 3 articulated arm robots, the vertical deep hole drilling machine of double, the two-sided numerically controlled lathe of CKX, numerical control boring and milling lathes, bore Milling Machining lathe and 5 sensors are connected with control station respectively;Flexible automatic production line during this practicality is new can be used in the high-volume processing of steering screw, power shaft isometry class, disk-like accessory workpiece, and rapidoprint is the ferrous metal such as all kinds of carbon steel, steel alloy.Flexible automatic production line can realize 24 hours not stopping work production, and workpiece can complete Roughing and fine machining by once circulation in production line, reaches finished product requirement, high efficiency, high reliability.
RESEARCH GAP: AI-enabled predictive monitoring of hydraulic pressure and flow in industrial steel boring mill lathes using a combined nRF and LoRa multi-intranet network is the novelty of the system.
CN109352340A: The invention discloses a kind of numerical control end-face milling centering lathes, by digital control platform, with modularization slide unit, in precision, safety all greatly improves, and daily maintenance maintenance becomes succinctly convenient, and work efficiency is high, slide unit is rigidly strong, long service life, and mounting process is simple.Precision is easily controllable, and work is to realize full closeding state, more economical to be applicable in.Since the numerically-controlled machine tool uses Three-axis drive, milling bits head and drilling cuttings head are mounted on a set of slide unit, all use servo motor direct-connected in three directions, front and back feeds numerical control driving, the milling bits head and drilling cuttings head main shaft being mounted on the slide unit of left and right are sleeve type structure, front and back can also manually adjust, and cutting and product are easy to adjust, are widely used.
RESEARCH GAP: AI-enabled predictive monitoring of hydraulic pressure and flow in industrial steel boring mill lathes using a combined nRF and LoRa multi-intranet network 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 invention is an advanced predictive inline monitoring tool intended for monitoring hydraulic pressure and flow in industrial steel broaching mill lathe, as reliable hydraulic action is critical for ensuring operational efficiency and avoiding high costs due to downtime. The instrument uses a multi-node concept to ensure collection of data and provision of predictive and monitoring services on an ongoing and real time basis. The primary such node which is located within the lathe hydraulic system, captures key parameters, namely hydraulic pressure, flow rate and temperature to ensure that the system's condition and activity status is geared up. This node communicates data across nRF and LoRa wireless communication modules, which form an integrated network of low latency for smooth information spanning with few energy requirements, This intermediate routing node also increases the communication distance and stability range and makes it possible to implement this solution in larger industrial environments where connectivity can otherwise be problematic.
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 invention is an advanced predictive inline monitoring tool intended for monitoring hydraulic pressure and flow in industrial steel broaching mill lathe, as reliable hydraulic action is critical for ensuring operational efficiency and avoiding high costs due to downtime. The instrument uses a multi-node concept to ensure collection of data and provision of predictive and monitoring services on an ongoing and real time basis. The primary such node which is located within the lathe hydraulic system, captures key parameters, namely hydraulic pressure, flow rate and temperature to ensure that the system's condition and activity status is geared up. This node communicates data across nRF and LoRa wireless communication modules, which form an integrated network of low latency for smooth information spanning with few energy requirements, This intermediate routing node also increases the communication distance and stability range and makes it possible to implement this solution in larger industrial environments where connectivity can otherwise be problematic.
From the productional perspective, the structure of the system is designed to be resilient and tolerant to severe industrial environments. When measurements are taken and sent to the gateway, they are forwarded to the cloud which in this case is a dedicated platform utilizing deep learning technology. Such learning is aimed at identifying patterns corresponding to hydraulic related malfunctions indicators such as pressure, flow and temperature abnormalities. As a result of these conclusions the system provides preventive maintenance, enabling operators to resolve minor matters before they develop into catastrophic failures. Therefore, the device serves the dual role of a diagnostic and predictive device and improves reliability of the machine as well as maintenance activities.
It does, however, also have some significant operational advantages which are not technical. Any industrial plant suffers a lot of losses in productivity and finance due to unscheduled maintenance and down time,, long hydraulic faults being one of the key contributors to this downtime. Again, by giving an overview of the hydraulic trouble areas, and the machines able to take a lot of pressure, this device offers maintenance teams an opportunity to predict whenever a machine is likely to fail, thus causing less unintended downtime and costs. In addition, this device decreases the amount of hand-held checking necessary, which allows technicians to focus on more productive tasks, as well as decreasing the risk of human error. Furthermore, all the information is serene; the structural components allow every person capable of monitoring in real-time remotely to see the recommendations from any location on the secure web which is why the system's cloud-based analytics is an accurate description. The great thing about this control is that there are no fixed offices, so the structure improves the responsiveness of workers to clients'. In the near future, this innovative tool is aimed towards and ready for industries whose primary demand is increasing productivity in their business in hydraulic systems reliability and smart, predictive conditions space maintenance.
BEST METHOD OF WORKING
The BoarMonitoring Node is designed for continuous and real-time monitoring of hydraulic parameters of the drum lathes used in the industrial steel boring mill and is equipped with a pressure sensor, flow sensor, temperature sensor, wireless communication module, data processing interface, and has its own power supply. This node assists in precise data capturing which allows for better and timely predictive maintenance once the data is sent to the intermediary nodes.
The Route Node consists of a control board, short-range wireless communication module, long-range communication module, indicator LED, and independent power supply, which increases the distance communication between the BoarMonitoring Node and the Gateway Node. This node guarantees good connectivity hence efficient relay of data required to ensure that active monitoring of the hydraulic network of the system is not disrupted.
The Gateway Node contains a processing interface, two is a communication module, a screen, a GSM modem, an indicator LED and its own power supply. This node has the functionality of the Central Data interface. This central processing node collects real-time hydraulic data from the system and sends it to the cloud. In addition this node also gives necessary alerts and insights to the operators which facilitates greater monitoring and response to operations.
To ensure low power and cost effective data transmission across the nodes, the nRF Wireless Communication Module is embedded inside the BoarMonitoring Node and the Route Node, while also maintaining short-range connection, such that communications require little to no downs time. Such a characteristic is ideal for industrial applications that require prompt information retrieval and a reliable data connection at all times.
The Route Node and Gateway Node embed the LoRa RF Communication Module that is capable of long range data transmission allowing the system to send and receive files or data at distant locations. This increases the distance over which there are network connections, remotely situated nodes of the network can be incorporated and industrial areas even large ones can be adequately supervised.
Providing the ability of remote communication is the GSM Modem that is assembled in the Gateway Node and is used for sending hydraulic configuration data from the site to the cloud based platform in real time. This ensures that users and their authorized representatives are able to access data for operational purposes at any time that is convenient to them.
ADVANTAGES OF THE INVENTION
1. With the usage of the Pressure and Flow Sensors in the BoarMonitoring Node, such a system allows the timely identification of hydraulic faults. This makes it possible to carry out maintenance in a more planned manner resulting in reduced outages and higher service life of vital components.
2. The LoRa RF Module in the Route Node makes certain of reliable and uninterrupted data communication over long distances therefore ensuring that even in a huge industrial setup, effective connection is maintained without disruption. This configuration facilitates dependable data sending, which in turn improves the efficient monitoring performance.
3. The International HMI Touch Display in the Gateway Node informs operators of the important performance's hydraulic parameters and the AI analysis in real time, to add on, reducing the time taken to address any issues.
4. The GSM Modem in the Gateway Node enables the operators to send data to the cloud platform for storage and services even while in transverse. The system makes it easier for authorized users to access information and get alerts on performance of the hydraulic systems from any location.
5. Both the BoarMonitoring Node and Route Node use the nRF Module which provides an effective short-range inter-node communication that is low in power consumption and still ensures an uninterrupted transfer of data within the system.
, Claims:1. An ai-enabled predictive inline device for hydraulic pressure and flow monitoring in industrial steel boring mill lathes using nrf and lora multi-intranet network comprises BoarMonitoring Node (100) is designed for continuous and real-time monitoring of hydraulic parameters of the drum lathes used in the industrial steel boring mill and is equipped with a pressure sensor (103), flow sensor (107), temperature sensor (105), wireless communication module, data processing interface, and has its own power supply (106), this node assists in precise data capturing which allows for better and timely predictive maintenance once the data is sent to the intermediary nodes.
2. The device as claimed in claim 1, wherein the Route Node consists of a control board, short-range wireless communication module, long-range communication module, indicator LED, and independent power supply, which increases the distance communication between the BoarMonitoring Node and the Gateway Node, this node guarantees good connectivity hence efficient relay of data required to ensure that active monitoring of the hydraulic network of the system is not disrupted.
3. The device as claimed in claim 1, wherein the Gateway Node contains a processing interface, two is a communication module, a screen, a GSM modem, an indicator LED and its own power supply, this node has the functionality of the Central Data interface, this central processing node collects real-time hydraulic data from the system and sends it to the cloud, in addition this node also gives necessary alerts and insights to the operators which facilitates greater monitoring and response to operations.
4. The device as claimed in claim 1, wherein to ensure low power and cost effective data transmission across the nodes, the nRF Wireless Communication Module is embedded inside the BoarMonitoring Node and the Route Node, while also maintaining short-range connection, such that communications require little to no downs time, such a characteristic is ideal for industrial applications that require prompt information retrieval and a reliable data connection at all times.
5. The device as claimed in claim 1, wherein the Route Node and Gateway Node embed the LoRa RF Communication Module that is capable of long range data transmission allowing the system to send and receive files or data at distant locations, this increases the distance over which there are network connections, remotely situated nodes of the network can be incorporated and industrial areas even large ones can be adequately supervised.
6. The device as claimed in claim 1, wherein providing the ability of remote communication is the GSM Modem that is assembled in the Gateway Node and is used for sending hydraulic configuration data from the site to the cloud based platform in real time, this ensures that users and their authorized representatives are able to access data for operational purposes at any time that is convenient to them.

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