Automated object recognition - an intelligent systems approach

2007 ◽  
Author(s):  
G. Ramesh ◽  
R. Madhan Mohan
Keyword(s):  
Object Recognition ◽  
Intelligent Systems ◽  
Systems Approach

Intelligent Rotary Steerable System, Coupled with an Instrumented Bit, Delivers Section Plan in Deepwater GOM Project

2021 ◽  
Author(s):  
John Snyder ◽  
Graeme Salmon
Keyword(s):  
Intelligent Systems ◽  
Systems Approach ◽  
Polycrystalline Diamond ◽  
Cost Effective ◽  
Structure Design ◽  
Directional Drilling ◽  
Steering Control ◽  
Efficient System ◽  
Drilling Performance ◽  
Downhole Tool

Abstract The challenging offshore drilling environment has increased the need for cost-effective operations to deliver accurate well placement, high borehole quality, and shoe-to-shoe drilling performance. As well construction complexity continues to develop, the need for an improved systems approach to delivering integrated performance is critical. Complex bottom hole assemblies (BHA) used in deepwater operations will include additional sensors and capabilities than in the past. These BHAs consist of multiple cutting structures (bit/reamer), gamma, resistivity, density, porosity, sonic, formation pressure testing/sampling capabilities, as well as drilling dynamics systems and onboard diagnostic sensors. Rock cutting structure design primarily relied on data capture at the surface. An instrumented sensor package within the drill bit provides dynamic measurements allowing for better understanding of BHA performance, creating a more efficient system for all drilling conditions. The addition of intelligent systems that monitor and control these complex BHAs, makes it possible to implement autonomous steering of directional drilling assemblies in the offshore environment. In the Deepwater Gulf of Mexico (GOM), this case study documents the introduction of a new automated drilling service and Intelligent Rotary Steerable System (iRSS) with an instrumented bit. Utilizing these complex BHAs, the system can provide real-time (RT) steering decisions automatically given the downhole tool configuration, planned well path, and RT sensor information received. The 6-3/4-inch nominal diameter system, coupled with the instrumented bit, successfully completed the first 5,400-foot (1,650m) section while enlarging the 8-1/2-inch (216mm) borehole to 9-7/8 inches (250mm). The system delivered a high-quality wellbore with low tortuosity and minimal vibration, while keeping to the planned well path. The system achieved all performance objectives and captured dynamic drilling responses for use in an additional applications. This fast sampling iRSS maintains continuous and faster steering control at high rates of penetration (ROP) providing accurate well path directional control. The system-matched polycrystalline diamond (PDC) bit is engineered to deliver greater side cutting efficiency with enhanced cutting structure improving the iRSS performance. Included within the bit is an instrumentation package that tracks drilling dynamics at the bit. The bit dynamics data is then used to improve bit designs and optimize drilling parameters.

scholarly journals Intelligent Sensors: Strategies for an Integrated Systems Approach

2005 ◽  
Author(s):  
Sanjeevi Chitikeshi ◽  
Ajay Mahajan ◽  
Pavan Bandhil ◽  
Lucas Utterbach ◽  
Fernanado Figueroa
Keyword(s):  
Intelligent Systems ◽  
Systems Approach ◽  
Integrated Systems ◽  
Self Assessment ◽  
Intelligent Monitoring ◽  
Intelligent Sensors ◽  
Processing And Storage ◽  
Work Done ◽  
And Storage ◽  
Made In

This paper proposes the development of intelligent sensors as an integrated systems approach, i.e. one treats the sensors as a complete system with its own sensing hardware (the traditional sensor), A/D converters, processing and storage capabilities, software drivers, self-assessment algorithms, communication protocols and evolutionary methodologies that allow them to get better with time. Under a project being undertaken at the Stennis Space Center, an integrated framework is being developed for the intelligent monitoring of smart elements. These smart elements can be sensors, actuators or other devices. The immediate application is the monitoring of the rocket test stands, but the technology should be generally applicable to the Intelligent Systems Health Monitoring (ISHM) vision. This paper outlines progress made in the development of intelligent sensors by describing the work done till date on Physical Intelligent Sensors (PIS) and Virtual Intelligent Sensors (VIS).

scholarly journals ПРИНЦИП ЦІЛІСНОЇ ОРГАНІЗАЦІЇ ІНТЕЛЕКТУАЛЬНИХ СИСТЕМ

2019 ◽  
pp. 4-16
Author(s):  
Серій Ілліч Доценко
Keyword(s):  
Control System ◽  
Intelligent Systems ◽  
Systems Approach ◽  
Intelligent System ◽  
Control Object ◽  
The Other ◽  
Methodological Basis ◽  
Other Hand ◽  
Intellectual System ◽  
The Impact

The antinomy of the division of the intellectual system into parts has been formed, namely: the intellectual system is an organized whole, which is formed from at least two parts; for an intelligent system, as an organized whole, it is impossible to divide into a controlling part (control system) and a part of which is controlled. It has been established that the antinomy of dividing an intelligent system into parts is generated by the fact that, traditionally, the control system and the control object are considered separately. Therefore, it is considered the system, and not an organized whole. The role of the theory of functional systems in the development of cybernetic systems as intellectual systems is defined. This theory is the basis for the development of intelligent systems A. V. Chechkinim, K. A. Pupkov, and other authors. On the other hand, M. I. Meltzer develops the theory of dialogue systems for managing production enterprises, the basis of which is the mathematical theory of systems. It is shown that the functional representation architectures for these systems are similar. The similarity is determined on the basis of the task approach. On the one hand, there is a mutual non-recognition of the results of scientific schools of physical and technical cybernetics, and on the other hand, there is a similarity of the results obtained. It has been established that the methodological basis of the holistic approach is the task approach to the formation of a solving system, developed in the theory of dialogue management of production. To do this, it is necessary to include the “Activity to get the result” block in the solving system in order to turn it into an intellectual system. The methodological basis of a systems approach is a functional approach to the formation of systems. The main lesson of the classical cybernetics crisis, regarding the organizational principle for two parts of an organized whole, is to establish a dialectical unity of concepts in the form of a “general” concept and a “concrete” concept for problem-solving results in the control system and control object. Thus, a dialectically organized whole is formed. The article also analyzes the impact of the study of intelligent systems on the development of the methodological foundations of the Industry 4.0 platform. The next task that needs to be solved is the formation of the principle of functional self-organization, which is the basis for the formation of a mechanism for ensuring consistency between the results of solving problems in parts of a dialectically organized whole

Functional Adaptive Control: An Intelligent Systems Approach

2002 ◽  
Vol 55 (6) ◽  
pp. B108-B109
Author(s):  
SG Fabri, ◽  
V Kadirkamanathan, ◽  
PJ Eagle,
Keyword(s):  
Adaptive Control ◽  
Intelligent Systems ◽  
Systems Approach

A Hybrid Intelligent Systems Approach for Die Design in Sheet Metal Forming

2000 ◽  
Vol 16 (5) ◽  
pp. 370-375 ◽  
Author(s):  
R. Pilani ◽  
K. Narasimhan ◽  
S. K. Maiti ◽  
U. P. Singh ◽  
P. P. Date
Keyword(s):  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Intelligent Systems ◽  
Systems Approach ◽  
Die Design ◽  
Hybrid Intelligent Systems

Functional adaptive control—an intelligent systems approach

Automatica ◽  
2002 ◽  
Vol 38 (11) ◽  
pp. 2029-2030
Author(s):  
Felipe M. Pait
Keyword(s):  
Adaptive Control ◽  
Intelligent Systems ◽  
Systems Approach
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