LEO-constellation-augmented multi-GNSS real-time PPP for rapid re-convergence in harsh environments

GPS Solutions ◽  
2021 ◽  
Vol 26 (1) ◽  
Author(s):  
Min Li ◽  
Tianhe Xu ◽  
Meiqian Guan ◽  
Fan Gao ◽  
Nan Jiang
Keyword(s):  
Author(s):  
Komandur Sunder Raj

Abstract Significant research is ongoing on several fronts in smart sensor technologies for optimizing the performance of power generating assets. The initiatives include: 1. Real-time models with advanced computational algorithms, embedded intelligence at sensor and component level for reducing operating costs, improving efficiencies, and lowering emissions. 2. Optical sapphire sensors for monitoring operation and performance of critical components in harsh environments, for improving accuracy of measurements in combustion monitoring, and lowering operating costs. 3. Wireless technologies using (a) microwave acoustic sensors for real-time monitoring of equipment in high temperature/pressure environments (b) integrated gas/temperature acoustic sensors for combustion monitoring in diverse harsh environment locations to improve combustion efficiency, reduce emissions, and lower maintenance costs (c) sensors for sensing temperature, strain and soot accumulation inside coal-fired boilers for detailed condition monitoring, better understanding of combustion and heat exchange processes, improved designs, more efficient operation. 4. Distributed optical fiber sensing system for real-time monitoring and optimization of high temperature profiles for improving efficiency and lowering emissions. 5. Smart parts with embedded sensors for in situ monitoring of multiple parameters in existing and new facilities. 6. Optimizing advanced 3D manufacturing processes for embedded sensors in components for harsh environments to reduce costs and improve efficiency of power generation facilities with carbon capture capabilities. 7. New energy-harvesting materials for powering wireless sensors in harsh environments, improving reliability of wireless sensors in demanding environments, and in-situ monitoring and performance of devices and systems. 8. Real-time, accurate and reliable monitoring of temperature at distributed locations of sensors in harsh environments for improving operations and reducing operating costs. 9. Algorithms and methodologies for designing control systems utilizing distributed intelligence for optimal control of power generation facilities. 10. Gas sensors for monitoring high temperatures in harsh environments for lowering operating costs and better control of operations. 11. Optimizing placement of smart sensors in networks for cognitive behavior and self-learning. This paper provides an overview of the initiatives in smart sensor technologies and their applications in optimizing the performance of power generating facilities.


2020 ◽  
Author(s):  
Balazs Bodo ◽  
Luis Lopes ◽  
Claudio Rossi ◽  
Giorgia Stasi ◽  
Stephen Henley ◽  
...  

<p>The Horizon 2020 ROBOMINERS project (Grant No. 820971) studies the development of an innovative technology for the exploitation of small and difficult to access mineral deposits. A bio-inspired reconfigurable robot with a modular nature will be the target of the research efforts. The goal is to develop a prototype that will be able to mine under different conditions, such as underground, underwater or above water. ROBOMINERS’ innovative approach combines the creation of a new mining ecosystem with novel ideas from other sectors, particularly robotics. This covers both abandoned, currently flooded mines not accessible anymore for conventional mining techniques; or places that have formerly been explored, but whose exploitation was considered as uneconomic due to the small-size of deposits, or their difficulty to access. </p><p>The ROBOMINERS concept follows a 5-step approach: 1) Robot parts (modules) are sent underground via a borehole; 2) Self-assemble to form a fully functional robot; 3) Robot detects the ore deposit via sensing devices; 4) Using ad-hoc production devices, it produces slurry that is pumped out; 5) Ability to re-configure on-the-job. </p><p>Specifics include: 1) Construction of a fully functional modular robot miner prototype following a bioinspired design, capable of operating, navigating and performing selective mining; 2) Designing a mining ecosystem of expected future upstream/downstream raw materials processes via simulations, modelling and virtual prototyping; 3) Validation of all key functions of the robot-miner to a "Technology Readiness Level" of TRL4; and  4) To use the prototypes to study and advance future research challenges concerning scalability, resilience, re-configurability, self-repair, collective behavior, operation in harsh environments, selective mining, production methods, as well as for the necessary converging technologies on an overall mining ecosystem level. These specific goals will deliver a new mining concept, proven in laboratory conditions, capable of changing the scenario of mineral exploitation.</p><p>Powered by a water hydraulic drivetrain and artificial muscles, the robot will have high power density and environmentally safe operation. Situational awareness and sensing will be  provided by novel body sensors, such as artificial whiskers that will merge data in real-time with real-time production mineralogy  sensors that, together with specific production tools, will enable selective mining, optimising the rate of production and selection between different production methods. The produced mineral concentrate slurry is pumped to the surface, where it will be processed. The waste slurry could then be returned to the mine where it will backfill mined-out areas.</p><p>ROBOMINERS will deliver proof of concept for the feasibility of this technology line, which can enable the EU to have access to mineral raw materials from otherwise inaccessible or uneconomic domestic sources, decreasing European dependency on imports from third-party sources, as envisaged by the raw materials policy. Laboratory experiments will confirm the Miner’s key functions, such as modularity, configurability, selective mining ability, and resilience under a range of operating scenarios. The Prototype Miner will then be used to study and advance future research challenges concerning scalability, swarming behaviour and operation in harsh environments.</p>


1998 ◽  
Author(s):  
Jose Miguel Lopez-Higuera ◽  
Patrick L. Mottier ◽  
Adolfo Cobo ◽  
Eric Ollier ◽  
Miguel A. Morante Rabago ◽  
...  

2012 ◽  
Vol 24 (6) ◽  
pp. 992-999 ◽  
Author(s):  
Ken Endou ◽  
◽  
Takafumi Ikenoya ◽  
Ryo Kurazume ◽  

Techniques for creating 3D shape model are expected to be applied to as-built management for structures under construction. However, common techniques currently widely used, still have lacks in usability and accuracy, hence still haven’t reached the stage of actual use in the field. Due to the above circumstance, the authors have developed a 3D tunnel shape scanning system that uses a moving platform and auto tracking total station. The system provides improved usability and accuracy. Using the developed system, we have carried out a verification experiment in a mock tunnel, and we confirmed the possibility of real-time evaluation and the system’s measuring accuracy under actual conditions. We also carried out measurements on three actual tunnel sites. We confirmed that it is fully capable of measurements not only in favorable environments but also in harsh environments, such as in tunnels that are under construction.


2019 ◽  
Author(s):  
Daniel Stark ◽  
William Schaecher ◽  
John Maida ◽  
Bogdan Wiecek

2021 ◽  
Author(s):  
Yue Wang ◽  
Bo Li ◽  
Lei Sun ◽  
Fenghuan Hao ◽  
Marvin Rourke

Abstract Fiber-optic transmission has been applied in oil and gas industry over the years. Compared with other methods applied in the industry, fiber-optic transmission has the advantages of low loss, long-distance, high-capacity and robust to the electromagnetic interference. The ability to provide reliable transmission systems in the harsh environments like high temperatures is the key driver for the continued use of fiber-optic communication for in-well applications. We design a fiber-optic communication system under high temperatures for well logging applications. It consists of high-temperature laser diode, high-temperature photodetector with photoelectric detection circuit, drive control circuit, and field-programmable gate array (FPGA) as the communication chip. This system ensures that data can be transmitted at a rate of 15 Mbps at temperatures up to 155°C. The FPGA board makes the system to control data transmission flexibly and enable the serial communication between the photoelectric module and the host computer. Additionally, the number of fibers used in fiber-optic communication in logging will be reduced to only a single fiber for transmitting and receiving. A series of experiments on the performance and effects of fiber-optic communication at different temperatures was carried out. Data transceiver tests and eye diagram tests are presented. The experimental results demonstrated that this fiber-optic communication system is capable of working steadily over a long period of time in harsh environments around 155°C to realize broadband and remote transmission of logging information. This system provides a way that allows optical information to transmit in a high-temperature environment. It can be applied to well logging and fiber-optic sensing (e.g., real-time environmental parameters transmission, fiber-optic well monitoring) for developing real-time, high-data-rate, bidirectional fiber-optic communication in the future.


2018 ◽  
Vol 36 (4) ◽  
pp. 1152-1158 ◽  
Author(s):  
Luis Carlos Costa Coelho ◽  
Paulo Sergio Soares dos Santos ◽  
Pedro Alberto da Silva Jorge ◽  
Jose Luis Santos ◽  
Jose Manuel Marques Martins de Almeida

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