Adaptive water purification device for producing safe drinking water

Abstract

An adaptive water purification device consisting of a variety of sensors for detecting physical, chemical and biological contaminants in the incoming water, a control unit with artificial intelligence for processing the sensor data and a network of controllable valves that direct the water flow through one or more filtration modules selected based on the detected contaminant profiles.

Description

Application area of ​​the invention:

[0001] The present invention relates to the field of water treatment and purification systems, in particular an adaptive water purification device that uses sensor-based intelligent control and modular filtration to produce drinking water in environments with variable contamination. Background of the invention:

[0002] Conventional water treatment systems typically rely on fixed filtration mechanisms such as reverse osmosis, activated carbon, or UV disinfection, regardless of the changing composition of the incoming water. These systems are not very adaptable and often result in inefficient purification, excessive energy consumption, or premature filter wear. Furthermore, different water sources, such as groundwater, municipal water, or surface water, exhibit diverse contaminant profiles, including heavy metals, microbial contamination, and chemical pollutants, requiring individually tailored purification processes. Existing solutions cannot automatically adapt to these varying parameters in real time, necessitating manual intervention and frequent maintenance.There is a growing need for an intelligent purification system that can dynamically analyze water quality, autonomously select optimal purification pathways, and ensure reliable and energy-efficient drinking water production. The proposed adaptive water treatment device addresses these challenges through real-time sensors, AI-based decision-making, and a modular treatment architecture. Summary of the invention:

[0003] The present invention relates to an adaptive water purification device that analyzes the properties of the incoming water and autonomously adjusts the purification process to achieve optimal results. The device comprises a sensor array that continuously monitors turbidity, pH, temperature, microbiological content, and electrochemical signals indicative of heavy metals or dissolved solids. These measurements are processed by an integrated controller and an AI-based decision engine, which evaluates the contaminant profile and determines a suitable filtration path through a configurable valve network.

[0004] The filtration process dynamically utilizes one or more interchangeable modules, such as UV-LED disinfection, reverse osmosis (RO), activated carbon filters, and ion exchangers. The control system operates valve actuators, monitors system integrity, and logs operating data in a cloud-based dashboard. The device issues alerts for maintenance or filter changes and supports modular expansion. This adaptive approach ensures efficient, safe, and sustainable drinking water production from various sources. Detailed description of the invention:

[0005] The adaptive water purification device consists of a housing containing a sensor array, a control circuit, an actuator network, modular filter cartridges, and a data interface. The sensor module includes turbidity, pH, temperature, microbiological, and electrochemical sensors for detecting contaminants in the raw water stream. These sensors continuously transmit analog or digital signals to the central control unit, where the data is processed and analyzed using an integrated AI decision algorithm. This algorithm is trained to classify contamination profiles.

[0006] Based on sensor analysis, the AI ​​engine determines the optimal flow topology through a network of electronically controlled valves. For example, if microbiological contamination is detected, the system prioritizes the UV-LED sterilization module, while high concentrations of dissolved solids trigger the activation of the reverse osmosis module. Similarly, chemical or heavy metal contamination leads to the activation of the ion exchange or activated carbon filters. This adaptive sequencing improves purification efficiency while minimizing unnecessary filtration steps.

[0007] Each filter module is designed as an independently serviceable cartridge that can be removed, cleaned, or replaced without interrupting system functionality. The valve network comprises solenoid or motor valves controlled by the controller's actuator circuitry, enabling precise flow control and module separation.

[0008] The system also includes flow sensors and pressure gauges that ensure consistent operation and detect anomalies such as blockages, leaks, or worn filters. In such cases, the control system initiates protective shutdowns or diverts the flow to a bypass to ensure safety.

[0009] An integrated data logger records operating parameters, water quality data, and maintenance events. Via a cloud interface, the device synchronizes the data with a user dashboard accessible through a mobile or web application. The dashboard provides real-time updates, usage statistics, and predictive maintenance recommendations based on AI-powered analytics.

[0010] The device can be powered by conventional AC sources, solar panels, or batteries, making it suitable for use in both residential and remote areas. Energy management algorithms optimize power consumption in low-pollution environments by bypassing energy-intensive modules such as reverse osmosis systems.

[0011] The housing is made of corrosion-resistant polymer or stainless steel, making it suitable for continuous use in humid and pressure-fluctuating environments. The internal mounting architecture allows for tool-free module replacement, thus facilitating user-friendly maintenance and extending the product's service life.

[0012] The AI ​​engine can receive wireless software updates, thereby continuously improving decision-making models based on regional water data. This adaptive framework ensures scalability and long-term sustainability for applications in the private, industrial, and humanitarian sectors.

[0013] The device operates autonomously, requires minimal human supervision, and performs self-diagnostics for the early detection of component failures. Its intelligent operation ensures optimized water treatment that meets international drinking water standards.

Claims

[1] An adaptive water purification device consisting of a variety of sensors for detecting physical, chemical and biological contaminants in the incoming water, a control unit with artificial intelligence for processing the sensor data and a network of controllable valves that direct the flow of water through one or more filtration modules selected on the basis of the detected contaminant profiles. [2] Device according to claim 1, wherein the filtration modules comprise UV LED sterilization, reverse osmosis, activated carbon and ion exchange units arranged in a modular and independently serviceable configuration. [3] Device according to claim 1, wherein the controller logs operating data to a data logger or a cloud interface and communicates with a user dashboard to display system status and maintenance alerts. [4] Device according to claim 1, wherein the power supply system includes energy optimization algorithms and supports multiple energy sources, including mains power, solar power or rechargeable batteries, for autonomous use.