IOT Solutions | Sophic Digital Solutions

WHAT WE DO

IOT Solutions

IoT Devices in Your Next SMARTer Factory

A highly digitized and connected production facility that relies on smart devices can streamline operations, improve machine and system quality on the fly and thus, enable innovative business models as part of your digital transformation efforts.

What It Is and Why It Matters?

Industrial 4.0 (I4.0) factory can't be achieved without implementing Industrial Internet Of Things (IIOT). Sophic automation provide IIOT solutions to help manufacturers execute operation in smarter process, increase operational efficiency while simultaneously decreasing operating costs to improve employee working conditions and manufacturing throughput. With the I4.0 revolution trend, IIOT become standard requirements in industrial solution.

By having devices connected, digitalize operation process, aggregate data in server or computing cloud, remote access information and data analysis are elements to enable IIOT. Sophic Automation Sdn Bhd Manufacturing Lights Off solution analyzes machine operations data to provide predictive maintenance, remote service, connected logistics, and optimize asset performance management to enable industry 4.0 smart factories.

What Are Key Reasons to Implement IOT?

Improved Operational Efficiency

Monitor and optimize the performance of machines and equipment on the factory floor. Manufacturers can identify inefficiencies and optimize their production processes to reduce waste and increase productivity.

Predictive Maintenance

Condition monitoring of machines and predict when maintenance will be needed before equipment fails allowing for proactive maintenance to be scheduled and thus, reduce unplanned downtime and improve asset utilization.

Gathering Rich Data

Real-time data on manufacturing operations allow for more informed decision-making and faster response times to issues that arise on the factory floor. Problems can be addressed more quickly, improving quality and reducing costs.

Achieve Quality Improvement

Monitor product quality in real-time, allowing manufacturers to identify defects or issues as they arise and make adjustments to improve quality. This can improve product consistency and reduce waste.

Supply Chain Visibility

Greater visibility into the supply chain, allowing manufacturers to track raw materials, finished goods, and shipments in real-time. This can help improve logistics planning, reduce lead times, and improve customer satisfaction.

The 4 Layers of IOT Solutions Architect

The key layer of building blocks for any IoT structure are:

Layer 1

Sensing

This layer involves the deployment of sensors and other data acquisition devices to collect data from physical objects or environments. The sensors may collect data on temperature, pressure, humidity, motion, and other variables.

Layer 2

Connectivity

This layer ensures that the devices are connected to the network and can communicate with each other. It is necessary to aggregate, transmit and process the data collected by the sensor devices to an on-premise or cloud data center.

Layer 3

Processing

This layer is responsible for processing and analyzing the data collected from the IoT devices. It includes cloud-based or edge computing platforms that can perform real-time data processing and analysis, as well as storage and management of data.

Layer 4

Sensing

This is the layer where users can interact with the IoT system through various applications and interfaces such as dashboards, visualization tools, and other applications that enable users to take actions based on insights gained from the analysis.

Nerve Platform

Nerve platform is an Industrial IOT (IIOT platform) that consists of systems for connecting frontline industrial processes with backend information systems. They include hardware and software and enable organizations to gain insights and improve operational efficiency from new applications. This platform is align to Industry 4.0.

The Nerve platform allow a direct line between cloud-based or on-premise storage and compute resources and the shop floor. By connecting the sensors and machines (legacy and new) that collect data during production runs, they create a direct line between the places and times when data is collected, data is streamed into a structured time series database and the tools needed for visualization/analysis for various stakeholders from newly developed applications.

Manufacturing Light Off

Manufacturers are looking for ways to increase operational efficiency while simultaneously decreasing operating costs to improve employee working conditions and manufacturing throughput. Sophic Automation Sdn Bhd Manufacturing Lights Off solution analyzes machine operations data to provide predictive maintenance, remote service, connected logistics, and optimize asset performance management to enable industry 4.0 smart factories.

Environment Monitoring Solutions

Our Outdoor Environmental Real Time Monitoring System is equipped with state-of-the-art IOT sensors capable of delivering a more consistent and accurate data.

Our solutions can be used in a variety of settings, including industrial, commercial, and residential environments to monitor and analyze various aspects of the environment, such as air quality, water quality, soil conditions, and weather patterns.

Overall, it's a critical tool for organizations that are committed to sustainability, and for governments that are responsible for protecting public health and the environment.

The Command Centre

The key component of Industry 4.0 is to have a centralized location where manufacturing operations can be monitored, controlled, and optimized in real-time.

A typical manufacturing command center consists of a large room with multiple computer screens, data visualization tools, and other technology solutions. It allows the people in charge to have a comprehensive view of the manufacturing operations and access critical data and information.

The goal of a manufacturing command center is to improve the efficiency, productivity, and quality of manufacturing processes. It can be used to monitor equipment performance, detect and diagnose issues in real-time, optimize production schedules, and ensure that production targets are met.

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