The integration of robotics in manufacturing has significantly enhanced productivity and safety by performing hazardous tasks. However, it also introduces new risks and accident profiles that require thorough analysis...
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The issue of power system load modeling has long perplexed the electrical power industry. Existing models, such as the ZIP model, widely utilized within the industry, lack a robust foundation, relying heavily on param...
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In the field of furniture design, Virtual Reality (VR) has shown potential in enabling immersive prototyping and visualization. However, current VR design tools are often limited by a lack of parametrization, making i...
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This project is designed to convert the traditional washing machines into smart, pay-activated machines using an integrated web application and NodeMCU microcontroller. The system enables users to remotely control the...
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When dealing with large amounts of data, ensuring data consistency and synchronization may become a non-negligible problem due to the fact that the services in the microservice architecture are distributed on differen...
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This paper describes the role of a computer vision system in assessing wellbore stability. It validates the application of computer vision to detect the presence of cavings at the shale shaker using a remotely monitor...
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ISBN:
(纸本)9781959025641
This paper describes the role of a computer vision system in assessing wellbore stability. It validates the application of computer vision to detect the presence of cavings at the shale shaker using a remotely monitored camera system. The main objective was the early detection of developing wellbore pressure and stability issues during drilling to avoid non-productive time (NPT), a potential boon for the industry. Two cameras with onboard computer vision software were installed in the hazardous zone above the shale shakers to monitor the returning drilling cuttings and quantify their sizes. Images from the cameras were analyzed onsite and cutting size and volume data were delivered to the drilling team in real-time. The term Unidentified Falling Object (UFO) was introduced to account for the current state of technology and the difficulty inherent in discriminating between cavings and cuttings at the shakers. Detecting an anomalously large object is considered a potential indication of a caving. Five wells in the Norwegian Offshore Sector were consecutively monitored over eight months across hole sizes ranging from 16½-inches to 8½-inches. The project was managed remotely via an interactive, multiplatform, open-source analytics and visualization application. We include a description of the project's implementation of new technology on an active drilling rig. The computer vision model was validated by dropping known test rock samples into the cuttings flow, measuring cutting size distribution (CSD) on cuttings samples, and weighing drill cuttings samples. The results were used to calibrate a computer vision model that accurately measured a range of cutting sizes from 10mm to 45mm. The data showed a credible correlation to changes in wellbore formation, and cavings were successfully detected. The model improved throughout the project, alerting the drilling team to suspected issues in near-real-time. Other valuable observations included cuttings overflow, vibration perf
computer vision is to measure and judge by machine instead of man, and convert the captured target scene into image signal through camera device. Transmitting it to the image processing system and converting it into a...
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This paper presents a new IoT-based approach for agricultural pest control, incorporating machine learning techniques. Traditional pest monitoring methods are labor-intensive and often result in the overuse of pestici...
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A digital library is an application of technology to traditional libraries, providing access to various resources like books, magazines, and newspapers in digital formats. This allows users to access information anyti...
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Low-frequency oscillations are a common issue in traction power supply systems, and the integration of photovoltaic (PV) systems exacerbates the coupling and nonlinearity within these systems, leading to a complex pho...
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