About Web Bass SCADA AND IOT SALUCTION

Web-Based SCADA/DAS Solutions for Industrial Control

A Web-Based SCADA (Supervisory Control and Data Acquisition) or DAS (Data Acquisition System) is a modern, powerful control architecture that moves away from traditional, isolated control rooms. It leverages internet and network technologies to provide operational visibility and control from any authorized location, transforming how industrial facilities manage production and maintenance.

Key Features and Advantages

1. Universal Accessibility and Remote Monitoring

• Zero-Install Client: Unlike legacy systems, web-based SCADA only requires a standard web browser (like Chrome, Firefox, etc.). There is no need for specialized software installation on operator or manager workstations.

• Device Independence: Authorised personnel can securely monitor and control the plant using any devicedesktop computers, tablets, or smartphonesproviding true mobility for maintenance teams and management.

• Global Visibility: For multi-site operations, a web-based system allows you to centralize the monitoring of all facilities (e.g., multiple rolling mill units) from a single interface.

2. Real-Time Data and Reporting

• Live Data Streams: Provides instant, graphical visualization of critical parameters, such as stand speeds, motor loads, furnace temperatures, and energy consumption (EMS data), ensuring operators can react immediately to process deviations.

• Historical Data Logging: All process data is securely logged in a central database (typically SQL-based or cloud-based), providing an accurate, searchable record of past operations.

• Custom Reporting: Enables automated generation of critical reports (e.g., daily production summaries, energy consumption patterns, and downtime analysis) that can be easily exported or shared with management.

3. Advanced Automation and IIoT Integration

• Alarm Management: Sophisticated, tiered alarm systems with notifications delivered via SMS or email, ensuring critical issueslike high vibration in a mill stand or VFD trip conditionsare addressed immediately.

• IIoT Ready: Easily integrates with Industrial Internet of Things (IIoT) sensors and edge devices. This allows the SCADA system to handle not just control data (PLCs), but also condition monitoring data (vibration, temperature, oil analysis) for predictive maintenance.

• Seamless PLC Communication: Designed to communicate robustly with all major PLC brands (Siemens, Allen-Bradley, etc.) and drive systems (ABB, Parker, INVT), ensuring seamless data flow between the control layer and the visualization layer.

4. Enhanced Security and Scalability

• Centralized Security: User authentication and access rights are managed centrally, ensuring that only personnel with the correct permissions can view data or execute commands.

• Scalability: The architecture is inherently scalable, allowing new PLCs, motor control centers, or entire production lines to be added without major overhauls or costly licensing adjustments to client workstations.

By deploying a Web-Based SCADA/DAS, TMT Rolling Mills can achieve higher levels of efficiency, reduce unplanned downtime through predictive insights, and empower operators and managers with transparent, real-time data access.

End-to-End Industrial Automation

This solution streamlines remote monitoring and control for industrial environments. It offers a web-based interface, allowing access from multiple devices and browsers. Automated features such as dashboard visualization, real-time alerts, and historical data logs make industrial processes efficient and transparent.


Robust Security and Protocol Flexibility

Equipped with user authentication and encryption, the system ensures secure access to sensitive data. Its compatibility with industry-standard protocols like MQTT, HTTP, and Modbus TCP/IP allows for seamless integration with existing and new equipment.


High Customizability and Precision

Adaptable for various industrial needs, this offering supports up to 64 channels, a wide measuring range, and adjustable specimen size. It achieves accuracy up to 0.5% FS, and its test parameters, such as speed and stroke, can be easily modified to fit specialized workflow requirements.