Level 2 Automation
Centralized Data Acquisition System
A Central Data Acquisition System (CDAS) is a system that collects and processes data from various sources, typically sensors, and then makes it available for analysis and decision-making, often in a centralized location. This system is also a need for next level of automation typically MES, ERP and other analytics/decision making software. In certain case, this system is also used as OPC layer for the factory. The overall critical process parameters from shopfloor are configured at central level to act as OPC UA server to provide real time information to the next level of standard OPC UA client applications.
- Efficiency: Centralized systems streamline data collection and management, making it easier to access and analyze data from multiple sources.
- Scalability: These systems can handle large amounts of data and can be easily expanded to accommodate more sensors or devices.
- Customization: DAQ systems can be highly customized to meet specific application needs, allowing for detailed analysis and control.
- Real-time Monitoring: Data can be viewed and analyzed in real-time, enabling timely decision-making and problem-solving.
- Integration: DAQ systems can be integrated with other software and systems, facilitating data sharing and collaboration.
Data Historian
Data historians are a key part of the Industrial IoT ecosystem, where numerous devices and systems generate continuous streams of data. These programs collect, store, and retrieve data at high speeds, enabling real-time process tracking, monitoring, and analysis. Standard Process Historians collect data in compressed format to store huge duration data on server for analysis purpose.
- Automated Data Collection and Storage: Data historians automate the collection and storage of time-series data, eliminating manual data entry errors and ensuring accurate data records.
- Real-time Data Access: Operators can access real-time data for informed decision-making, leading to quicker responses to issues and optimized processes.
- Identification of Inefficiencies: By analyzing historical data, data historians help identify inefficiencies and bottlenecks in processes, allowing for optimization and improved productivity.
- Reduced Operational Costs: Optimizing processes and reducing downtime through data analysis can lead to significant cost savings.
- Seamless Integration: They are designed to integrate with various industrial control systems and other enterprise applications.
Compliance and Reporting: They simplify the process of complying with industry regulations by providing reliable data for audits and reporting.
Central Process Reports (MIS)
A Management Information System (MIS) is a system that provides managers with the information they need to make informed decisions by collecting, processing, storing, and disseminating data. It’s a crucial tool for monitoring performance, identifying trends, and making strategic choices. ShubhTej automation has wide experience on this area to design reports/dashboards as per Industry need.
- Faster Information Access: MIS provides easy access to relevant data, reducing wait times for reports and improving employee productivity.
- Data Sharing: MIS enables easy sharing of data and information across different departments and levels of the organization, promoting collaboration and teamwork.
- Business Intelligence: MIS helps organizations gain insights into their customers, competitors, and market trends, enabling them to make better decisions and gain a competitive edge.
- Reduced Costs: By optimizing processes and making better decisions, MIS can help organizations reduce costs and improve profitability.
- Data-Driven Insights: MIS provides managers with real-time data and analytical reports, enabling them to make informed decisions based on facts rather than assumptions.
- Performance Monitoring: MIS allows for the comparison of projections and actual performances, enabling managers to identify areas for improvement and take corrective actions.
Alarm Trending/Analysis
This a typical requirement of crucial process industries like Pharmaceutical, Food and Beverages etc. Alarm analysis involves understanding and interpreting alarm data to identify root causes, improve alarm management, and optimize operational efficiency. This includes analysing alarm trends, identifying false alarms, and ensuring timely and accurate responses to critical events.
- Reduced Alarm Fatigue: A flood of irrelevant alarms can lead to operator fatigue and a decreased ability to respond to actual problems, which alarm analysis helps mitigate.
- Improved Fault Diagnosis: By understanding the root causes of alarms, operators can diagnose and resolve problems more quickly and accurately.
- Compliance with Regulations: Alarm analysis can help ensure compliance with industry regulations and standards.
- Enhanced Safety: Prioritizing critical alarms ensures that operators address the most important issues first, improving safety and preventing potential problems.
- Better Plant Management: Effective alarm management can prevent process upsets and abnormal situations from occurring in the first place, leading to more efficient plant operation.
IoT Gateway
A gateway can be a typical hardware device or software program. It enables a connection between the sensor network and the Internet along with enabling IoT communication, it also performs many other tasks such as this IoT gateway performs protocol translation, aggregating all data, local processing, and filtering of data before sending it to the cloud.
IoT gateways are crucial for connecting and managing diverse IoT devices, acting as a bridge between them and the internet or cloud, facilitating data collection, processing, and secure communication
