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Paper & Pulp

Transforming pulp and paper production through digital innovation for a remarkable success in the industry

Enhancing Efficiency, Quality, And Sustainability

Unlock the power of efficiency as the paper and pulp market undergoes digital transformation. INTECH’s mission is to equip you with the perfect blend of cutting-edge technologies and tools, ensuring a seamless journey for the people, processes, and technologies you rely on. Together, let’s navigate this exciting evolution, propelling your business towards greater success and productivity.

Overall Equipment Effectiveness (OEE)

Combining performance, availability, and quality into a powerful metric

  • Improve equipment efficiency, identify bottlenecks, and prevent issues from impacting production deadlines or causing losses
  • Use customized visualization and configuration based on business-defined stoppage codes and user-defined time granularity requirements
  • Utilize production data, event tracking, and machine state information for accurate and real-time OEE calculations for business-critical Paper Machines
  • Gain insights into machine uptime/downtime statuses and trends for informed decision-making in your operations
  • Tap into new levels of productivity and performance with existing infrastructure and extending it digitally with minimal investment
Waste Management System

Wastage Management Through Mass Balance

Application of the principle of conservation of energy in the analysis of physical systems

  • Track materials entering and leaving the system to identify mass flows and calculate difficult-to-measure quantities
  • Use a Mass Balance dashboard to monitor volumetric flow rates and consistencies of important parameters in real-time
  • Evaluate critical metrics such as Head Box Consistency and Process Yield ratios, along with other parameters
  • Uncover opportunities, optimize processes, eliminate inefficiencies, and maximize productivity for enhanced profitability

Records Digitization

A holistic visualization of the entire plant operation.

  • Comprehensive Dashboards: Gather information from plant sensors and user inputs
  • Operations And Management Functions: Streamline processes with features such as Daily Shift Records, Error Reporting, Production Management, and Quality Data Analysis
  • Empower Decision-Making: Provide valuable insights to plant operators, shift supervisors, and management based on real-time and historical data
  • User-Friendly Interface: Intuitive design ensures easy access and usability for stakeholders at all levels
  • Transform Operations: Enhance efficiency and productivity by unlocking the full potential of your plant’s operations

Critical Parameters Centerlining

Enhancing quality control for superior results.

  • Streamlined Quality Control: An integrated-dynamic dashboard allows for efficient monitoring and control of critical parameters
  • Data-Driven Decision Making: Utilize standard specifications (e.g., minimum, maximum, and average values) and statistical performance measures (e.g., total count, minimum, maximum, average, and standard deviation) to make informed decisions
  • Enhanced Quality Assurance: Identify and address deviations, revise specifications, and improve accuracy in quality parameters
  • Operational Excellence: Optimize quality, achieve superior results, and drive overall operational performance
  • Continuous Improvement: Leverage real-time insights to fine-tune processes and elevate quality standard

Energy And Utilities Totalizers

Monitoring consumption and improving efficiency.

  • Digital Totalizers:
    • Digitally totalize parameters related to energy and utilities consumption
    • Ensure accuracy by comparing totalized values with actual sensors and utility provider billing
  • Utilities Usage:
    • Calculate daily consumption of each utility (water, natural gas, and steam) alongside production
    • Visualize consumption trends and identify anomalies or wastage in utility usage
  • Optimize Efficiency:
    • Gain insights into utility consumption patterns and make data-driven decisions
  • Cost Savings and Environmental Impact:
    • Take control of energy and utilities management to achieve significant cost savings
    • Reduce environmental impact through optimized utility consumption

Critical Parameters Soft Sensing

Enhancing process control.

  • Predict critical variables in real-time with high accuracy using soft sensors
  • Train soft-sensing algorithm with 80% of user-acquired data for accurate predictions
  • Analyze correlations among multiple process parameters to improve accuracy
  • Link offline test results with machine learning outcomes for real-time soft sensing
  • Achieve precise process control with highly accurate soft sensed values

Anomaly Detection

Enhancing process reliability.

  • Univariate Threshold Alarms:
    • Analyze equipment and process performance based on threshold limits
    • Trigger alerts only when deviations exceed predefined limits, i.e., minimum and maximum bounds of each variable
  • Outlier Detection Technique:
    • Identify rare items, events, or observations that significantly differ from the majority of data.
    • Utilize single or multi-variable sensors critical to the process
  • Training And Deployment:
    • Select multiple relevant sensors for training the Anomaly Detection M
    • Once deployed, the system automatically detects abnormal behavior in live time-series data from the sensors
  • Timely Corrective Actions:
    • Generate events for timely corrective actions to prevent failures and consequently unforeseen loss in revenue

Advanced Machine Diagnostics

Minimizing downtime, maximizing productivity.

  • Optimize Machine Operations: To meet production targets and ensure profitability
  • Minimize Occurrence of Downtime: To avoid associated costs, such as production loss, repair spares, and labor expenses
  • Utilize Digital Applications: To expedite problem identification and resolution when production lines encounter issues or suboptimal performance
  • Take Proactive Measures: To address and resolve issues before they escalate and impact the entire system
  • Streamline Troubleshooting Processes: To minimize loss of time and effectively manage production interruptions
  • Increase Situational Awareness: To prevent 50% of unplanned upsets, as most of them are preventable
  • Real-time Data: Harness the power of  real-time data o eliminate up to 70% of inevitable breakdowns, optimizing overall equipment performance

Quality Assurance

Enhancing process reliability.

  • Automate Quality Monitoring: Streamline quality check, minimize costs, and reduce errors
  • Reliable Production Output: Ensure high quality and reliable production output
  • Improve Process Efficiency: Leverage digital tools to identify and address issues promptly, such as real-time alerts for unusual occurrences.
  • Enhance Machine Performance: Utilize machine diagnostics data to proactively identify and rectify faults
  • Compliance And Traceability: Comprehensive documentation and traceability support regulatory compliance
  • Continuous Improvement: Ongoing optimization of quality processes and customer satisfaction
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