International Business Machines Corporation

Globalfoundries Inc.

Ashwin Srinivas

Ninad D Sathaye

Sukanya Randhawa

Tamilmani Ethirajan

Janakiraman Viraraghavan

Ananth Sundaram

Methods, systems, computer program products, and devices for in-pipeline optical interference-based cognitive systems for leak and defect detection are provided herein. A computer-implemented method includes obtaining optical interference-related data pertaining to at least one interior portion of a pipeline; obtaining multiple items of sensor data pertaining to the at least one interior portion of the pipeline; generating one or more pipeline-irregularity predictions by applying an inference-based algorithm to the optical interference-related data, the multiple items of sensor data, and one or more additional items of data, wherein each of the one or more pipeline-irregularity predictions comprises an identified location within the interior surface of the pipeline of a predicted irregularity and an estimated size of the predicted irregularity; and outputting the one or more pipeline-irregularity predictions to one or more users.

In-pipeline optical interference-based cognitive system for leak and defect detection

Methods, systems, and computer program products for in-pipeline maintenance, delivery and management of sensors are provided herein. An exemplary computer-implemented method includes detecting a sensor within a pipeline via an in-pipeline sensor management system, determining a path for the in-pipeline sensor management system to travel to the detected sensor, and automatically attaching the in-pipeline sensor management system to the detected sensor upon a determination that the in-pipeline sensor management system has completed the path and reached the detected sensor. The method also includes determining maintenance operations to be performed on the detected sensor based on real-time data pertaining to the sensor and historical operation records pertaining to the detected sensor. Further, the method includes performing the maintenance operations, via the in-pipeline sensor management system, on the detected sensor, and automatically detaching the in-pipeline sensor management system from the detected sensor upon determining that the maintenance operations have been completed.

In-pipeline maintenance, delivery and management of sensors

Methods, systems, and computer program products for in-pipeline maintenance, delivery and management of sensors are provided herein. A multi-component, in-pipeline sensor management system includes a self-propelled sensor explorer component comprising (i) one or more communication sub-components and (ii) one or more navigation assistance sub-components, wherein the self-propelled sensor explorer component is configured to move through a liquid within a pipeline; a sensor coupling unit comprising one or more attachment structures, wherein the one or more attachment structures enable the system to attach to one or more sensors within the pipeline; and a sensor maintenance unit comprising (i) a cleansing unit, wherein the cleansing unit comprises (a) an inlet valve for one or more cleaning liquids and (b) an outlet valve for one or more waste liquids, (ii) a cleaning liquid storage component coupled to the inlet valve, and (iii) a waste liquid collector coupled to the outlet valve.

Systems include, among other components, fixed and mobile sensors positioned within a pipe network containing a substance (such as a liquid, gas, or low-viscosity solid). In addition, systems include a mobile transceiver device positioned within the pipe network. The mobile transceiver device moves through the substance and the pipe network, and the mobile transceiver device is in wireless communication with the sensors. Systems also include a receiver that is external to the pipe network, and the receiver is in communication with the mobile transceiver device. In operation, the mobile transceiver device wirelessly receives sensor data from the sensors, the mobile transceiver device can aggregate the sensor data from multiple sensors, and the mobile transceiver device transmits the aggregated sensor data wirelessly to the receiver.

System managing mobile sensors for continuous monitoring of pipe networks

Disclosed are integrated circuit (IC) design methods, systems and computer program products. During IC design, an electrical netlist with built-in electrical resistance elements (i.e., electrical resistors) is extracted based on an IC design layout. A thermal netlist with built-in thermal resistance elements (i.e., thermal resistors) is automatically extracted based on the electrical netlist. This thermal netlist identifies thermal resistors, external thermal nodes and internal thermal node(s) and does so such that there is one-to-one mapping of the thermal resistors to electrical resistors in the electrical netlist, one-to-one mapping of the external thermal nodes to input, output and power supply nodes in the electrical netlist and one-to-one mapping of the internal thermal node(s) to element(s) (e.g., library and/or customized elements) in the electrical netlist. The electrical and thermal netlists are combined and simulations are performed on the combined electrical-thermal netlist in order to generate a thermal-aware performance model of the IC.

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Bengaluru, India

Ashwin Srinivas