Intelligent Cleaning System with Integrated Sensor Unit and Advanced Analytics

The present invention integrates a retrofittable sensor unit with advanced analytics and data storage technologies to create a more efficient, adaptive, and secure cleaning system.

The original patent disclosed a retrofittable sensor unit for controlling a dosing device in a cleaning machine. However, the original invention had limitations in terms of data analysis, security, and real-time monitoring. The new inventive concept addresses these limitations by integrating the sensor unit with AI, blockchain, and IoT technologies.

The new system comprises a retrofittable sensor unit, a blockchain-based data storage, and an AI-powered analytics module. The sensor unit captures various parameters such as viscosity, turbidity, and thermal variables, which are then transmitted to the blockchain-based data storage. The AI-powered analytics module analyzes the data to predict optimal dosing parameters, detect anomalies, and optimize cleaning performance. The system can be further integrated with IoT platforms, cloud-based data analytics, and augmented reality modules to provide real-time guidance and monitoring.

The new claims introduce a synergistic combination of the retrofittable sensor unit with advanced analytics and data storage technologies, which is not obvious from the original patent. The integration of AI, blockchain, and IoT technologies provides a novel and non-obvious solution for optimizing cleaning processes.

Alternative embodiments of the inventive concept could include integrating the sensor unit with other advanced analytics tools, such as machine learning algorithms or computer vision. Variations could include using different types of sensors or data storage technologies, or applying the inventive concept to other industries beyond cleaning.

The intelligent cleaning system has significant commercial potential in the cleaning industry, particularly in industrial and commercial cleaning applications. The system's ability to optimize cleaning processes, reduce waste, and improve efficiency could lead to cost savings and increased customer satisfaction.