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Manufacturing Intelligence

Platform Overview

Using the Digital Manufacturing Platform, hardware is provisioned, devices are managed, and IoT networks are used to collect seamless data from machines and pieces of equipment on the production floor. Using an Edge Gateway, the platform connects various Hardware protocols to enterprise/cloud software. We have enterprise-grade security mechanisms and machine learning-based artificial intelligence. The platform offers ready-to-use features that are designed to accelerate the deployment of Digital Manufacturing Frameworks from the data source to the final decision analytics.

The LI2VE Architecture includes the following hardware and software components:

MI Machine Communicators

Captures and transmits data from CNC machines, assembly workstations, and other shop floor equipment. The wireless module in LMCs allows data to be transmitted and communicated wirelessly to the server securely.

Data Router

Wireless data connections are established between the LMC, router, gateway, and server via the data router. The secure wireless communication framework in LI2VE is based on this communication framework.

Mobile Gateway

The mobile gateway is used to integrate handheld devices (Mobile Apps) with the infrastructure to automate manual processes such as approvals and auditing.

Visual Displays

The plant floor is updated in real-time with alerts, messages, and data thanks to these multi-color LED displays. They are wirelessly powered and multi-color.

EMI Management Software

A device or LMC can be configured centrally with management software. Additionally, it provides a front-end for analysing data and generating reports. Users can view plant floor production data via a real-time information dashboard.

Platform Features

The main aim of the MI project is to help users make independent decisions, monitor assets and processes instantly, and establish a real-time connected value creation network through the participation of stakeholders and vertical and horizontal synergies.

Below are the broad agreements that define Industry 4.0.

The use of digital Technologies to increase productivity and ROI.

Humans and machines swap work.

The suspension and the step are good to obtain the title process.

The development of new and old Technologies are occurring simultaneously

Case studies in the manufacturing meeting

Taking progressive wide-spread assumptions into account at the hierarchy

Big data analytics

MI will be able to analyse and collect useful perception of huge quantities of data. It will be more heavily used in Industry 4.0.

Internet of Things (IoT) platforms

It refers to all devices that can collect data, transfer it over the internet, and liaise with other devices.

Blockchain technology

It has originated from Bitcoin, the famous digital currency. This technology involves data being stored on universal public records in the form of "blocks" that are associated with each other on a "chain" and being authenticated by others.

The main objective of the MI is to increase profit margins, substantially boost production, and automate as many aspects of the business as possible. It will be able to adapt to customer preferences and to have machines modify and learn on their own over time.

To build a durable, scalable enterprise in today's business environment, you need to implement graceful tasks, boost productivity and collaboration, and grasp data in real-time. Industry 4.0 solutions from put you on the right track.

Features

Industry 4.0 plays a huge role in digitalization and networking. However, automation will also be much more important. Digital solutions and products are connected directly to the internet as part of the Internet of Things (IoT). It is already partially established today but will continue to grow outstandingly under the conditions of Industry 4.0.

Platform Standards

MI is a standards-based platform for Industry 4.0.

European Telecommunications Standards Institute (ETSI) defines a standard as "a document established by consensus and approved by a recognized body, which provides for common and repeatable use rules, guidelines, or characteristics for activities or results, aimed at achieving optimal order in a specific context."

The standards become essential in Industry 4.0 Digital Manufacturing to build a flexible and interoperable environment between different manufacturing equipment and the types of networking required to establish communications between the hardware, software, and manufacturing machinery.

The MI Digital Manufacturing Software and Hardware are designed and built to the best available world-class standards that ensure digital flexibility to facilitate connectivity between any type of manufacturing and infrastructure equipment.

Digital manufacturing platforms use the right standards for networking, a digital twin, and a communication protocol.

Platform standards

MI will be able to analyse and collect useful perception of huge quantities of data. It will be more heavily used in Industry 4.0.

Device connectivity

Designed based on ISO/ IEC 23247 digital twin standards.

Sensor connectivity

Complete industrial internet of things device (IIoT) compliant to ISO / IEC 29182 Sensor network reference architecture to support IoT devices to sensor connectivity ( High level of industrial equipment interoperability requiring no programming) Supports all standard industry-standard protocols like Digital Input/Output, Analog Input/Output, RS232, RS 485, Ethernet, USB, and other standards.

Inbuilt connectivity capabilities can interact with PLCs, machine controls from various manufacturers using configurations, not programming.

Alarm Management

The platform's Alarm management system follows the identification and rationalization of life-cycle stages from ANSI/ISA-18.2 standards.

Artificial Intelligence (AI) Systems using Machine Learning (ML)

The artificial intelligence and machine learning algorithms used in the application and IoT Devices reference ISO/IEC DIS 23053.

Modules

Enterprise Module

The enterprise module defines and manages internal organization structures like departments, divisions, manufacturing lines, cells, and machines. This module is used to configure the relationship between various entities an enterprise structure.

HRMS

This module primarily manages user definition and associate users with enterprise structure. This module also works for different types of uses; you can access the application.

Manufacturing Core

Manufacturing core represents the definition and management of items, bill of materials, routing, and other manufacturing standard information used in transactions various associated modules.

RM /FG/ EAM- Warehouse Management

Stores management module where both received goods and finished goods will be stored and managed.

Planning & Sequence Module

Planning and sequencing module is primarily used for sequencing of kitting, production, and shipping.

Kitting

The Kitting module primarily works on automating various parts based on the work order and bills of material combination and delivering parts at different routing stages. Application, along with devices, fully automates and facilitates process synchronization to achieve plant material movement efficiency.

Device Management

This module will be used to configure MI Devices,

Work Instruction

A work instruction is a part of the production module where various work instructions can be provided by configuring this module with MI devices or television displays.

Production

Production is the heart of manufacturing operation management. This module comprises of manufacturing execution digital travel card part, process, and person validation overall traceability management

Quality

The quality module also has complete gauge life management functionality.

Maintanence

Primarily represents equipment usage life management and meter management for preventive and predictive maintenance.

Preformatted Reports

Standard reports for across the application

Archiving & Historian

Periodic archived transactions data for future analysis for using the historian

API's

MI can communicate with other business system applications, such as ERPs via a REST standard-based integration.