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ChemcAI
Solutions
Data Driven | Industrial Engineering | Process Optimization
Services
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![Experienced Team](/static/service/service1.png)
Experienced Team
Experience in Process control, Data Science and Solution design can create a customized solution for your problems.
![Plant Understanding](/static/service/service2.png)
Plant Understanding
Team has understanding of Chemical Engineering, Industrial Engineering, DCS, PLC and other control systems.
![AI and Chemical Expertise](/static/service/service3.png)
AI and Chemical Expertise
Deep knowledge of chemical concepts and Various AI Tools.
Products
![Process Monitoring](/static/Computor Vision.png)
Process Monitoring
In the realm of Chemical Engineering, our team showcases a profound understanding of computer vision applications such as plant equipment monitoring, Material Quality classification, Liquid Level Detection and Particle Size Analysis. Leveraging our in-depth knowledge and hands-on experience, we demonstrate proficiency in creating sophisticated solutions that harness state-of-the-art visual technologies. These solutions are designed to precisely identify levels, monitor the health of industrial equipment, and processes. By doing so, we deliver invaluable insights and facilitate process optimization across diverse industries.
![Virtual Sensor](/static/Soft Sensor.jpeg)
Virtual Sensor
Our developed digital sensor for plant parameters utilizes machine learning and mathematical modeling to estimate variables without physical instrumentation. It enables real-time monitoring, optimizing operations, enhancing productivity, and reducing costs. Versatile and accurate, this invaluable tool empowers operators across various industries to make informed decisions and ensure optimal process efficiency
![Pump Failure Prediction](/static/Pump Failure Design.jpg)
Pump Failure Prediction
The pump failure model is a meticulously designed system aimed at predicting and preventing pump malfunctions. Incorporating advanced sensor technologies, data analytics, and machine learning algorithms, the model continuously monitors crucial parameters such as pressure, flow rate, and temperature. By analyzing real-time data and historical patterns, it can identify early signs of potential pump failures, enabling timely maintenance interventions and reducing downtime. The model's robustness lies in its ability to adapt and learn from new data, ensuring optimal performance and enhancing the reliability of critical pumping systems across various industries.
![Distillation](/static/Distillation.png)
Distillation
Artificial intelligence (AI) is transforming distillation column operations by utilizing real-time data analysis and predictive modeling to recommend optimal parameters. These AI systems analyze feed composition, temperature, pressure, and other factors to continuously optimize column performance, resulting in improved efficiency, reduced energy consumption, and enhanced product quality. By automating routine adjustments and predicting maintenance needs, AI reduces operator workload, enhances safety, and lowers operational costs. Real-world implementations have demonstrated significant energy savings and improved product purity, highlighting the profound impact of AI in enhancing the efficiency and sustainability of distillation processes.
![Food Processing](/static/Food Processing.jpg)
Food Processing
AI can transform food processing by streamlining operations and enhancing product quality. It's employed for quality control, where machine vision systems detect defects and ensure consistency in food products. AI-driven predictive maintenance minimizes equipment downtime, while supply chain optimization optimizes sourcing and inventory management. Additionally, AI-driven recipe and flavor development can create innovative, consumer-friendly products. Overall, AI in food processing boosts efficiency, reduces waste, and enables the creation of safer and more diverse food products.