Design and Implementation of Basic Framework for Integration of Robot Technology Elements in Intelligent Space

2011 ◽  
Vol 23 (4) ◽  
pp. 523-531 ◽  
Author(s):  
Takeshi Sasaki ◽  
◽  
Yoshihisa Toshima ◽  
Hideki Hashimoto ◽  
◽  
...  

This paper considers design and implementation of intelligent Space (iSpace) which is a space with many distributed sensors and actuators. iSpace system should have flexibility and scalability so that we can easily change the configuration of embedded devices and switch applications based on the situation. To realize such a system, iSpace framework requirements are discussed and a layered structure which consists of four layers – the sensor node, basic information server, application and actuator layers – is proposed. The structure makes it possible to fuse information extracted by each sensor node effectively and provides system flexibility and scalability. A componentbased iSpace implementation is also addressed. The designed framework is implemented using RT (Robot Technology) middleware.

2019 ◽  
Vol 11 (21) ◽  
pp. 6171 ◽  
Author(s):  
Jangsik Bae ◽  
Meonghun Lee ◽  
Changsun Shin

With the expansion of smart agriculture, wireless sensor networks are being increasingly applied. These networks collect environmental information, such as temperature, humidity, and CO2 rates. However, if a faulty sensor node operates continuously in the network, unnecessary data transmission adversely impacts the network. Accordingly, a data-based fault-detection algorithm was implemented in this study to analyze data of sensor nodes and determine faults, to prevent the corresponding nodes from transmitting data; thus, minimizing damage to the network. A cloud-based “farm as a service” optimized for smart farms was implemented as an example, and resource management of sensors and actuators was provided using the oneM2M common platform. The effectiveness of the proposed fault-detection model was verified on an integrated management platform based on the Internet of Things by collecting and analyzing data. The results confirm that when a faulty sensor node is not separated from the network, unnecessary data transmission of other sensor nodes occurs due to continuous abnormal data transmission; thus, increasing energy consumption and reducing the network lifetime.


1991 ◽  
Vol 246 ◽  
Author(s):  
L. McD. Schetky

AbstractAdaptive structures, also called Intelligent or smart materials, refers to the various materials systems which automatically or remotely alter their dynamic characteristics or their geometry to meet their Intended performance. By integrating the sensors and actuators Into the structural system, typically a composite materials, control of shape, vibration and acoustic behavior an be effected. In addition to active control, passive control of system damping can be achieved in these structures. The sensors employed include piezoelectric ceramics, piezoelectric polymer films, ferroelectrics, and fiber optics. For producing the stress induced changes in dynamic characteristics of a composite the actuators are either embedded within the composite or are surface mounted. In general, the piezoelectric type actuator Is used where small strains at high frequencies are appropriate, while shape memory actuators are used when high forces and strains at lower frequencies are required. Static damping, modulus shift effect on acoustic radiation, and strain energy shift of modal response and acoustic radiation of composite materials with embedded shape memory actuators will be discussed. The constitutive equations for shape memory alloys will be described and how these are used in the design of adaptive composite structuresThe term smart materials seems to have become a part of the engineering vocabulary with variants such as Intelligent materials, and their application in adaptive structures. Smart materials consist of a structural component such as a composite such as fiber reenforced resin, with distributed sensors and actuators and a microprocessor. In response to changing external or Internal conditions these materials can change their properties to more effectively perform their function. The external conditions may be environment such as light or heat, loads, vibration or the need to change the geometry or shape of the structure to cope with changing service conditions. Internal conditions may be delamination in a composite, fatigue cracks in a metallic or nonmetallic structure, or other forms of Incipient failure.In reviewing papers presented in the past several years at conferences on smart/adaptive structures one would see a dominant number on various aspects of space structures such as mirrors. antennas, robotics booms and satellite docking. In these areas the control of vibration or the precise control of motion are most often the specific subject addressed. Much of the ongoing research is on control theory and the design of algorithms to define the sensor-actuator-microprocessor Integration. Of concern in this paper Is the actuator itself which, in response to commands from the microprocessor, produces strains and forces in the structure to modify Its acoustic or vibratory response or alter Its shape. These actuators are broadly of two types: low to medium force, low strain, high frequency systems, typically a piezoceramic such as PZT, or a high force, high strain, low frequency actuator which is most likely to be a shape memory alloy element.


2012 ◽  
Vol 263-266 ◽  
pp. 402-407 ◽  
Author(s):  
Bin Lu ◽  
Yan Gan Zhang ◽  
Jin Nan Zhang

Embedded devices are confined to be agents although they have been deployed in network management system for decades. We shed light on this situation by designing and implementing a new full-featured embedded network management system. On one hand, this system can still be an agent; on the other hand, this system provides a friendly GUI and I/O devices such as mouse and keyboard, which allows administrators to conveniently monitor and configure the managed equipment. The new system is developed on ARM with Linux using multithreading method, and it is deployed on ROADM equipment in optical network. SNMP is applied to be the network management protocol.


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