Haber Blog

AI in the Post COVID Era

COVID 19 has introduced the new normal, and leaders have been conscious of choosing pathways that will make their businesses resilient to future challenges. AI has emerged as one of the top choices, transcending from a futuristic approach to a must-have.

Lime Mud Dewatering

Large amounts of furnace oil consumption are in the caustic recovery process. Reducing moisture content in lime-mud is an effective way to reduce heat loss. It also saves significantly on furnace-oil consumption. Additionally, the yield of the lime kiln increases along with a reduction in scaling problems, thus improving the overall efficiency of the operations.

Bio Refining : Reducing Energy Consumption in Pulp and Paper Making

High amounts of electrical and mechanical energy are required for fiber modification in a typical fine paper and specialty paper-making operation. Fiber modification is done through refining i.e., mechanical treatment of fibers to develop certain desired paper properties.

Software and Firmware Updates to Installed IIOT devices Over the Air

OTA (over-the-air) stands for a new technological way of delivering software and firmware updates to remotely connected hardware over the internet. This technology eliminates the requirement of physical connection between edge devices to install updates.

Condition-Based Vibration Monitoring to Track System Health

Vibration sensors give insight into conditions within key-assets that might lead to equipment failure, allowing them to head off the need for some major repairs. These sensors are flexible devices, which measure various processes.

Cloud vs On-premise Software for Pulp & Paper

Industries and Organizations today have a constant need to innovate, scale and be flexible to meet the ever-changing needs.

Data Convergence

Data Architectures are becoming complex day by day as the complexity of the data is increasing. The complexity of the data arises from the fact that organizations today, use different data for different applications even if the source of the data remains the same.

Self-Tuning AI

Model Predictive Control (MPC) is a versatile and a widely used for model-based control approaches, which involves an online optimization of the control strategy over a pre-determined predictive receding horizon.

Improving Reusability of Treated Wastewater

Large volumes of water are used in a typical deinking plant. The effluent water streams come with various treatment challenges and significant variability in quality.

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