Artificial intelligence is no longer the future. It is omnipresent. When a new technological advancement applies to all fields, it revolutionizes the way the world functions. AI is one such technology. It can be seen across all sectors of the economy: agricultural, manufacturing and service sectors. It has become a driving force to improve efficiency across the economy.
The contributions of artificial intelligence towards business are well known and are being widely accepted now. The human race has also begun to acknowledge the contribution it can make to society. Artificial Intelligence has been used by many to reach their water and energy sustainability goals. They have identified the scope for innovation in sustainability.
Sustainable packaging is growing fast in the coming days. With consumer awareness and Government regulations driving the change, brands are coming up with innovative packaging solutions to lead the change from the front. Research and development towards eco-friendly packaging is the focus right now.
The process of paper manufacturing in essence is about draining a dilute suspension of fibers through a screen so that they form an interwoven mat. From being handmade to the use of industrial machinery the process has transformed over time. The current process can be described as a 5 step process
The pulp can be sourced from different materials, while wood remains the predominantly known source, in public discourse. Most of the producers are open to exploring non-wood alternatives for pulp making.
In a pulp and paper manufacturing unit, the solid-liquid separation principle is used at various stages. 3 Major methods used are Dissolved Air Floatation(DAF), Poseidon, and Effluent Treatment.
We can see the industry is facing increased demands, pressure from rising prices of raw materials, and issues in the distribution network. Some of these trends may fade away, while some may continue to drive the industry.
Automation began with a motto to make things simpler and faster, but the scope has been evolving over centuries, and there seems to be much more potential to it.
Greenfield project is one place where HABER comes ahead and helps the customer by providing selective AI solutions and packages all its expertise as a service.
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.
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.
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.
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.
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.
Industries and Organizations today have a constant need to innovate, scale and be flexible to meet the ever-changing needs.
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.
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.