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What is an IIoT solution?
Industrial IoT (IIoT) solutions monitor, collect, exchange, and analyze real-time sensor data from your equipment. They can perform advanced analytics and deliver meaningful shop-floor insights.
What is Industry 4.0?
Industry 4.0 refers to the integration of advanced technologies, like IoT, AI, and robotics, for enhanced manufacturing automation and industrial process connectivity.
Why do you need IIoT?
IIoT is easy to scale and deploy. It empowers organizations to:
- Derive insights from real-time data
- Monitor equipment and proactively prevent down-time.
- Drive rapid and continuous value for manufacturing units
- Leverage vertical expertise across the shop floor
- Improve shop floor efficiency and reduce costs
How do I get started?
- Fill out our Request Demo form
- We'll visit your site to assess your needs and existing hardware.
- Our team of experts will schedule a demo call and walk you through our platform and solutions
- We will propose a solution to suit your needs.
Intelligent shop floor automation
Industry 4.0 is just a click away. Whether you want to monitor one machine or automate your entire factory, we've got you covered. Explore Inolink's expansive multi-vertical IIoT solutions now.
Discrete manufacturing
- Construction and building materials
- Automobiles
- Aerospace and defense
- Machines and equipment
- Medical devices
- Appliances
- Electronics
- Automotive parts
Process manufacturing
- Chemical
- Food and beverage
- Oil and gas
- Pharmaceutical
- Metal and steel
- Glass
- Textile
- Adhesives and Paint
Discover Inolink's IIoT platform
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Connect seamlessly
Inolink's IIoT platform supports multiple brands and data collection protocols from both legacy and new machines. Generate actionable insights from a few units—or a few hundred.
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Collect data from devices and controllers
Plug and play with PLC/SCADA systems, sensors, gateways, supporting MODBUS, OPC/UA, RTU, MT Connect, Profibus, Profinet, Ethernet IP, and proprietary connectors for seamless integration with any third-party systems.
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Collect a range of data types
Monitor custom sensor values, machine statuses, modes, alarms, overrides, load averages, speeds, temperatures, rotations, PMC parameters, diagnostics, and more.
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Experience high-frequency data collection:
Perform real-time data collection at a high frequency (1 KHz) from specific CNC controls for immediate input into machine learning models.
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Configure and manage sensors
Improve your system by integrating external sensors or connecting older equipment using digital and analog input/output. Remotely configure and oversee sensors through an intuitive web interface.
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Brands we support
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Protocols we support
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Edge computing
Utilize the Inolink EdgeX edge computing solution for localized actions and data filtering. Refine data transferred for analytics, diagnose problems, and deploy updates to the edge without visiting sites.
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Secure data aggregation
Aggregate data collected from multiple sources. Our platform provides secure, scalable infrastructure for manufacturing data, featuring regular security updates and user-friendly data management tools.
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Telemetry and reporting
Sync diverse equipment data for consistent reporting and AI based analytics. You can evaluate custom sensor values, machine statuses, alarms, loads, speeds, and more.
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Remote management
Site visits can be tedious—Remotely manage and control your machines through Inolink EdgeX edge computing. Implement changes with the click of a button from any location.
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Secure cloud integration and storage
Using HTTPS/MQTT protocols, securely stream and store data from the edge to Inolink's IoT cloud infrastructure for quick and scalable data access.
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Integrate with other applications and APIs
Effortlessly integrate machine data with your digital factory by connecting it to existing shop floor systems. REST APIs enable integration with your CRM, ERP, BI tools, and other essential applications.
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Create workflows
Establish rule-based workflows for shop floor data, setting machine conditions and performance metrics, to prompt manual action or automate system responses.
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Real-time insights
Provide service managers and technicians with status updates on equipment health through real-time and historical condition monitoring. Enable preventative maintenance by configuring anomaly notifications with color-coded severity.
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Integrate AI with analytics
With deep analytics provided by performance reports, identify bottlenecks, and assess OEE, machine utilization and downtime history. Gain visibility and derive actionable insights into every production line throughout your organization.
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Build your own IIoT solutions
Develop your own apps with customized UI. Then, integrate them with third-party applications for quality or inventory control, stake holder role customization, extension of current modules to accommodate various use cases, and more.
- Machine Monitoring
- Production Line monitoring
- Overall Equipment Effectiveness
- Shifts and Jobs Allocation
- Maintenance and SLA
- Quality Analysis
- Asset and Inventory Tracking
- Energy and Sustainability
- Utilities Monitoring
- Safety and Control
Single destination to achieve holistic shop-floor automation mastery
A detailed view of high-value assets
Monitor equipment ( CNC, robotic arm, SWISS, precision etc) in real time to maximize efficiency.
Condition monitoring
Access real-time data on the health and performance of industrial equipment.
Machine performance
Analyze speed, output, energy consumption, and health indicators to optimize performance.
Machine uptime/downtime
Monitor intervals when the machine is operational (uptime) and non-operational (downtime) to minimize disruptions.
Machine utilization
Measure actual operation time against scheduled available hours to optimize production schedules.
Asset operations
Monitor real-time asset performance.
Usage patterns
Analyze machine usage patterns for optimized shift allocation and performance.
Reduce downtime and stoppages for production efficiency
Proactively monitor operations for enhanced productivity and quality control.
Line stoppages
Gain insights into the cause, duration, and frequency of interruptions.
Cycle time
Analyze the time to task completion to identify bottlenecks and optimize workflows
Planned vs actual yield
Compare projected and actual outputs to assess the effectiveness of production planning and enhance overall yield and efficiency.
Reject rate
Assess the percentage of manufactured products or components that do not meet the specified quality standards and take corrective action
Production downtime
Gain insights into the reasons for interruptions, their duration, and their impact on overall operational efficiency
Operator efficiency
View operator activities, performance metrics, and task completion rates to enhance productivity.
Evaluate OEE for greater productivity
Assess availability, performance efficiency, and quality yield.
Equipment effectiveness
Determine the availability, performance, and quality of industrial equipment.
Production bottlenecks
Identify process constraints and slowdowns.
Benchmarking
Compare OEE of industrial equipment with established standards to identify areas for improvement and set performance targets.
Asset performance
View real-time data on the health, condition, and usage of assets.
Productivity
Optimize workflows and energy efficiency by assessing industrial operations and output.
Availability
Track assets that are operational and ready for use to plan scheduled maintenance and avoid unplanned downtime.
Keep track of shifts, jobs, and resources
Ensure optimal coordination of employee and equipment shifts based on energy consumption and productivity.
Real-time shift data
Continuous monitoring, analysis, and reporting of operational data during work shifts.
Resource allocation
Distribution and optimization of resources, such as personnel, machinery, and materials.
Job cards
Digital records that contain detailed information about a specific task, job, or work order to enhance visibility and streamline operations.
Shift scheduling
Automation of work shifts for personnel and machines to optimize resource deployment.
Time and attendance management
Tracking of employees' work hours and attendance to enhance productivity and ensure compliance.
Workforce efficiency
Insights for enhancing overall productivity and paving the way for collaboration.
Production planning
Coordination of resources, tasks, and schedules to achieve targets.
Idle time vs. productive time
Analysis of machine idle time and productive time to enable timely interventions and predictive maintenance.
Perform condition monitoring, predictive maintenance, and work orders
Automate tasks quickly and reduce maintenance costs with Inolink IIoT. Detect early signs of downtime and schedule maintenance proactively.
Remote asset condition monitoring
Analyze real-time data on the health and performance of industrial assets from any location.
Predictive maintenance
Proactively prevent equipment failures and extend the life span of assets.
Mobile work orders
Digitally access detailed work instructions, asset information, and task assignments.
Scheduled/planned maintenance
Proactively schedule maintenance based on machine health to improve reliability, operational efficiency, and cost-effectiveness.
Maintenance history
Document maintenance activities to optimize production.
Asset repository
Access a comprehensive view of your assets, so you can make data-driven decisions and optimize maintenance strategies
Asset lifecycle management
Manage industrial assets end-to-end for their entire lifecycle, from acquisition and installation to operation, maintenance, and eventual decommissioning or replacement
Approval automation
Enable workflow automation, user authentication, conditional approvals and more.
Roles and authorization
Define and manage the access levels and permissions of individuals or entities.
Meet standards with precision
Create quality benchmarks and implement safety measures while ensuring regulatory compliance with ISO standards, FDA regulations, and ITAR.
Equipment health
Enable real-time monitoring of the condition and performance of machinery
Production yield
Measure the quantity and quality of industrial process output (relative to input).
Traceability
Track and record product production history, making it easier to identify and address quality issues
Compliance with regulations and standards
Build trust and minimize legal and regulatory risks.
Material composition
Accurately monitor the composition of materials to ensure quality standards are met.
Defect analysis
Analyze abnormalities in production to reduce waste and improve operational efficiency
Trace assets and stock from source to shelf
Access real-time insights and comprehensive visibility to prevent theft or loss,and maximize asset usage.
Asset identification
Gain enhanced visibility of assetsand perform maintenance as needed.
Location tracking
Track the location of assets with GPS, BLE, RFID and more to improve logistics and enhance safety
Availability
Monitor stock availability to reduce the risk of stock-outs or overstocking, enhance the order fulfillment processes, and improve overall supply chain efficiency.
Maintenance and service history
Document all maintenance and service activities to optimize production and resource allocation
Utilization analysis
Optimize the usage and management of industrial inventory for accurate order fulfillment and reduction of holding costs.
Geo-fencing
Use location-based technology to create virtual boundaries or geographical zones and trigger specific actions when industrial assets, equipment, or personnel enter or exit predefined areas.
Optimize energy consumption and reduce carbon emissions
Monitor and control energy consumption by industrial infrastructure equipment (HVACs, DGs, AHUs, Chillers, Compressors, and more) and production machines.
Energy consumption pattern
Take a data driven approach to improving energy efficiency, reducing operational costs, and achieving sustainability goals
Carbon emissions
Measure, track, and manage the release of carbon dioxide (CO2) and other greenhouse gases.
Waste generation
Access real-time insights into the volume and types of industrial waste you create and reduce your environmental impact.
Renewable energy integration
Integrate renewable energy sources with your existing layout.
Environmental conditions
Measure your site's air quality, noise, temperature and more.
Measurement and verification
Measure and verify the performance and efficiency of industrial processes to validate energy savings, process improvements, and other KPIs.
AI prediction and forecasting
Analyze historical and real-time data on energy consumption, demand, and production.
Unlock savings potential with smart utilities
Our solution acquires, manages, and reports vital data from power, water, and gas meters, such as voltage, velocity, pressure, and leakage.
Power quality
Track voltage stability, frequency, and harmonic distortion to maintain efficiency and prevent interruptions
Water usage
Monitor water consumption throughout facilities.
Gas flow and pressure
Measure the flow rates and pressure levels of gasses throughout facilities.
Leak detection
Detect water leaks or anomalies, preventing water waste and minimizing your environmental impact.
Demand planning
Monitor real-time energy consumption patterns and fluctuations.
Fault management
Proactively monitor, detect, and correct anomalies.
Remote monitoring
Monitor energy usage and consumption from any location.
For safe and secure manufacturing operations
Continually monitor fire safety equipment (such as fire extinguishers, fire alarm systems, and sprinkler systems).
Sprinkler system status
Monitor the status of the sprinkler system to ensure proper functioning and readiness.
Emergency sirens and lighting
Detect emergencies and enable sirens and lighting changes to notify tenants.
Temperature monitoring
Monitor anomalies in temperature.
Remote monitoring
Monitor abnormalities from any location.
Extinguisher status:
Track availability and status of fire extinguishers to ensure safe and timely fire intervention.
Smoke sensor detection
Detect smoke and notify tenants of abnormalities
Make your machines and processes efficient with real-time factory insights
Determine the cause & effect, and improve efficiency & predictability
Deliver unprecedented visibility on Machine-wise/Shop-wise/Building-wise energy, health and usage parameters, machine status, production/assembly line performance, maintenance and analytical insights.
Harness the potential of your manufacturing operations
Increase
- Asset life cycle
- Machine efficiency
- Revenue
Improve
- Operator retention
- Machine performance
- Quality of product
Optimize
- Machine utilisation
- Maintenance cycles
- Production
Transform
- Your Business
- Manufacturing operations
- workforce efficiency
Reduce -
- Downtime
- Energy consumption
- Maintenance and replacement costs
Envision, Unite, Prosper
We believe that the key to a successful industrial transformation is a collaborative partner ecosystem. Inolink's ecosystem consists of partners with distinct skills who can generate incremental value for customers in the discrete manufacturing sector.
Here's what our partners say about Inolink IoT
We are humbled and excited to be part of a future-facing product like Inolink IoT and we could in a small way put our honest efforts to drive Inolink IoT adoption in the industry. As catalysts to transform “Factories as a Product” which is our personal vision, we see that Inolink IoT is at the cusp of growth and adoption.
Purushothaman TGR
Inolink IoT is an incredibly powerful platform for developing unlimited custom IoT solutions for unique requirements. The platform accelerates time to market, expedites development, and maximizes profits. Inolink IoT offers multi-vertical solutions for a wide range of industries.
