Industrial IoT Solutions

Connect machines, controllers, sensors, and legacy equipment to secure local or cloud systems for real-time monitoring, production visibility, downtime analysis, and data-driven decisions.

Multi-MachineConnectivity

EdgeData Processing

Real-TimeProduction Visibility

Industrial IoT machine monitoring dashboard

Turn Industrial Equipment into Connected, Visible Operations

MayilVeera develops Industrial IoT solutions that connect machines, controllers, sensors, and production systems to usable operational dashboards.

Our approach starts with the equipment already available in your plant. We assess interfaces, PLCs, protocols, signals, network conditions, reporting needs, and operational objectives before selecting the connectivity architecture.

The solution can begin with one machine or production line and expand after data quality, operational value, and deployment architecture are validated.

Industrial IoT Solutions We Provide

Connectivity, edge processing, monitoring, reporting, and integration are selected around the actual machine and factory environment.

Machine and PLC Connectivity

Connect equipment through OPC UA, Siemens S7, Modbus RTU/TCP, serial, Ethernet, I/O, sensors, APIs, databases, or proprietary protocols.

Industrial Edge Gateway Integration

Collect, validate, timestamp, buffer, and securely transfer machine data close to the equipment.

Legacy Machine Connectivity

Capture useful operating data from older machines through signals, counters, sensors, serial interfaces, or custom embedded gateways.

Real-Time Machine Monitoring

Show running, idle, stopped, alarm, production count, cycle time, downtime, quality, process, and communication-health information.

Alerts and Operational Reporting

Support threshold alerts, stoppage alerts, communication alerts, production notifications, shift reports, downtime analysis, and summaries.

IT-OT and Enterprise Integration

Prepare trusted operational data for SCADA, MES, ERP, CMMS, quality systems, BI tools, customer APIs, and applications.

Core IIoT Capabilities

The architecture can be deployed locally, in private cloud, public cloud, or hybrid models according to customer IT and plant requirements.

OPC UA and Modbus

Local or cloud server

Store and forward

Alerts and reports

OEE inputs

Legacy machines

Remote visibility

Secure transfer

How Our Industrial IoT Implementation Works

A phased engineering flow reduces risk before expansion across lines or plants.

Assessment

Study equipment, controller, ports, protocol documents, required parameters, and reporting goals.

Connectivity Design

Select the protocol, gateway, I/O, sensor arrangement, and local or cloud architecture.

Data Acquisition

Collect machine information through agreed interfaces, signals, sensors, or custom embedded links.

Edge Processing

Validate, filter, timestamp, buffer, and transfer only the required data.

Dashboard and Reporting

Configure dashboards, alarms, reports, and role-specific production views.

Pilot and Expansion

Validate accuracy, stability, usefulness, and then expand to more machines or sites.

Business and Operational Outcomes

Actual results depend on data availability, equipment condition, process discipline, and user adoption.

01Consolidated machine and production visibility

02Reduced manual machine-data collection

03Downtime pattern identification

04Machine and shift performance comparison

05Earlier anomaly detection

06Improved maintenance and production coordination

07Legacy equipment digital visibility

08Trusted data foundation for analytics and AI

Frequently Asked Questions

Can MayilVeera connect machines from different manufacturers?

Yes, subject to interface and documentation availability. The method is selected for each machine using its protocol, port, signal, or sensor options.

Is it necessary to replace an older machine?

Not always. Many legacy machines can be connected through serial interfaces, digital or analogue signals, industrial I/O, sensors, or custom gateways.

Can the solution operate on a local server?

Yes. The architecture can be designed for on-premises, cloud, or hybrid deployment based on customer requirements.

Can the system calculate OEE?

It can calculate OEE-related values when reliable availability, production, cycle, good quantity, and rejection data are available.

Start with One Machine, One Line, or One Operational Problem

Share your machine model, PLC or controller, available interfaces, required parameters, reporting expectations, deployment preference, and factory location.

Discuss Your Industrial IoT Project