MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202641106202 A) filed by S G Bharathidasan; M Sankar; P Vineeth Kumar; C Vishnuppriyan; A Subash; and W Antony Xavio Immanuel on September 03, 2026, for A Versatile Automated Power Cable'S Insulation Specimen Preparation Unit For Standardized Testing.
Inventors include S G Bharathidasan; M Sankar; P Vineeth Kumar; C Vishnuppriyan; A Subash; and W Antony Xavio Immanuel.
The application for the patent was published on September 18, 2026, under issue no. 38/2026.
Abstract: This invention introduces an IoT-enabled automated system for precise monitoring and management of industrial and municipal wastewater metrics, directly addressing critical challenges in effluent treatment compliance. Automated, real-time tracking is essential for eliminating the substantial lags of traditional manual sampling, yet conventional electronic deployments remain highly vulnerable to industrial noise, communication lag, and inter-probe cross-talk. Excessive electrical noise from surrounding heavy machinery degrades data fidelity, while concurrent probe operations introduce severe ground-loop measurement drift. Existing manual and remote monitoring methods are labor-intensive, time-consuming, and structurally incapable of capturing transient contamination events before environmental discharge occurs. The system employs an integrated multi-parametric sensor array comprising continuousimmersion pH, Total Dissolved Solids (TDS), and turbidity probes, alongside a specialized Biochemical Oxygen Demand (BOD) proxy probe. Data is processed using a Raspberry Pi 4B single-board computer running an asynchronous, concurrent firmware event loop implemented via a non-blocking execution architecture. To eliminate electrochemical cross-talk through the shared sample fluid, the system integrates a solid-state sequential power-gating matrix driven by TIP3 IC power transistors that energizes exactly one sensor circuit at any given instant. Deviations from preset regulatory environmental thresholds trigger automated alerts and localized fluidic interventions, facilitated by an electromechanical fluidic subsystem driven by dual H-bridge driver modules. The physical design emphasizes structural optimization, space efficiency, and complete protection against harsh industrial environments. A stacked dual-enclosure heavy-duty stainless steel housing ensures that the dry electrical control casing sits directly atop the lower wet sensor array chamber. This direct vertical layout compresses the physical analog transmission path to the shortest viable length, systematically eliminating cable-run attenuation _ and capacitive loading. The sole connection between the stacked enclosures is a single, heavily insulated, rubber-cased conduit cable that groups all low-voltage sensor lines and high-current motor actuation wires within a unified shielded bundle. Real-time diagnostic data is accessible through secure cloud networks and mobile applications, empowering environmental compliance teams to monitor treatment efficiency remotely. The modular system is highly scalable, adaptable for diverse municipal sewage networks or aggressive industrial chemical streams, arid integrates seamlessly with enterprise IoT dashboards to support smart environmental management initiatives. Fail-safe mechanisms, including a power-on-reset automatic Hushing routine executed by four sub-fractional DC pumps, prevent biofouling, mineral scaling, and cross-contamination inside the monitoring chambers. Inductive noise coupling is completely mitigated by a dual-rail power network that draws sensor logic power from the core processor rails while supplying electromechanical pump motors through an isolated, external 10V DC adapter line, ensuring uninterrupted analytical accuracy. This innovation advances industrial sustainability by automating wastewater compliance tracking and removing human error from regulatory logging. Automated edge computation of the standard two-point BOD delta over the conventional five-day incubation interval removes manual titration and record-keeping error from biochemical oxygen demand determination without departing from the accepted laboratory incubation period. The invention directly aligns with Sustainable Development Goals (SDG 6: Clean Water and Sanitation and SDG 3: Good Health and Well-being), delivering a scalable, resilient, and highly interference-immune analytical tool for continuous industrial effluent verification.
Disclaimer: Curated by HT Syndication.
