الاثنين، 4 يناير 2010

INDUSTRIAL AUTOMATION OVER WSN

Description of the Project

The initial research of wireless sensor networks (WSN) was motivated by military applications. WSNs have been used as part of military command, control, communications, intelligence, surveillance, reconnaissance and targeting systems. Research around these applications is still continuing in projects such as Smart Dust, where the aim is to integrate a complete sensor/communications system into a cubic millimeter sized package. The targeted application areas of this system are battlefield surveillance, transportation monitoring and sensing of nuclear, biological and chemical agents Today, WSNs are utilized in a large variety of civilian applications such as temperature and humidity monitoring in supply chain management, in health care applications for monitoring patients, environmental and species monitoring, indoor climate control, air or water monitoring applications, precision agriculture, manufacturing process flow, traffic monitoring, monitoring wear and fatigue in bridges, motors or airplane wings, forest fire detection etc. The diversity of applications implies that also the underlying structure and hierarchy of the WSNs in these applications will be diverse. In order to be able to compare WSN solutions in different applications and to recognize the essential design criteria to be considered when building a WSN for a new application, the characteristics of WSN need to be addressed. Our project aim to develop a full programmable logic controller that is adaptive with industrial processes that will help solving a lot of current problems and we hope this system may force a lot of currently used system to retire.

Wireless strengths & opportunities
• Cabling costs decrease dramatically (cables & installation)
• Flexibility of instrumentation, easy reconfiguration
• New positions for sensors (rotating machines)
• High flexibility in retrofit applications
• More sensors -> more information?
• Temporal and spatial redundancy -> fault diagnostics





Expected Outcome and Results

We are aiming about 60% of Egyptian industrial section factories in Egypt in the first level of project Production.
In general wireless sensor network provide full automated system for Chemicals /petrum products, oil, gas & mining, paper products, plastics, metals, minerals products. This project will satisfy the research, design, analysis and simulation of communication constrained control and automation systems.
This project will also take good steps with applying artificial intelligent techniques in distributed computing systems.



Overview of Literature
The term Wireless Sensor Network can be comprehended differently depending on the context and the correspondent. Literally, the term defines that there is a network, meaning multiple end devices, communicating through wireless medium, and at least some of the devices sense, i.e. measure some physical quantity, in their environment. When considering the broadest sense of the WSN term, the devices can be anything from laptops, PDAs, or mobile phones to very tiny and simple sensing devices. The communication method adopted may vary from WLAN with 54 Mbps bandwidth to a proprietary technique with only few throughput. Especially in the research community, WSNs are nowadays considered for networks consisting of an extensive number of tiny sensor nodes operating in batteries. Such WSNs are deployed to perform a specific task for a long period of time, even years. In general, these kinds of WSNs are only a small subset of the whole concept. Of course, if there are more powerful or mains-powered devices in the vicinity, it is beneficial to utilize their computation and communication resources for complex algorithms and as gateways to other networks. The integration of different kinds of devices to a same seamless network is part of the ubiquitous computing paradigm . The integration of different kinds of devices to WSN is only a matter of incorporating similar communication interfaces. The implementation of communication protocols, applications, and management features in a Personal Computer (PC) environment is not a challenging task. Instead, the implementation of similar functionality in the tiny, resource-limited sensor nodes poses several characteristic challenges. Therefore, the discussion is limited to WSNs with such limited resource nodes.

WSN Applications

Applications for WSNs may either be traditional ones, in which the wired cabling is replacedby WSN, or completely new. Small-size nodes and maintenance-free operation of WSNs allow their integration and local processing of data measuring several different quantities enable
completely new types of applications.
The physical quantities that can be measured are diverse. The most common measured quantities are temperature, humidity, pressure, acceleration (vibration), sound, light (luminance, image), infrared, magnetic fields (compass), radiation, location (GPS), chemical compositions, and mechanical stress.
As a consequence of extensive possibilities, the envisioned applications for WSNs are diverse. The miniaturization of sensing devices allows the embedding of small WSN nodes as an unnoticeable part of the everyday life.



The most typical application domains for:

• Home automation: WSNs are key building blocks for smart homes. Heating, Ventilation& Air Conditioning (HVAC) control, and local and remote management of home appliances are examples of usage possibilities.
• Environmental monitoring: Random deployments on large-scale areas make the monitoring of agriculture and wildlife easier. Further, WSNs may be used in catastrophe (e.g. wildfire, earthquake, tsunami) warning systems and in disaster relief.
• Industrial monitoring and control: WSNs have a potential for replacing traditional cabling in monitoring and control systems in factories.
• Military: In military applications, the rapid deployment of WSNs allows instant use of data. Usage scenarios for WSN data are wide-ranging in intelligence, surveillance, reconnaissance, and targeting. Further, WSNs can be a part of the communication infrastructure.

















Methodology of our application

• The initial we are about to finish steps of designing the sensor node that will be the backbone of our system,and then testing the nodes.The nodes can be imported but americans don’t trust us so Orcad will solve the problem.

• The second step will be to write the codes of scan programs that will be the work system of the wireless programmable logic controller , parallel communication constrained control analysis and design is performed.

• Third step we will try to add to this system the ability of performing learning techniques, fuzzy logic control, and all intelligent control techniques.

• The next step is to design a compiler that will satisfy writing applications in ladder logic diagrams wuch is popular in the medium of control engineers, parallel we will set up a test bet to perform experiments and applications.


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Outset bed is a trolley crane system in the figure the a cad model and the real system.

Challenges (work packages)



1) Communication channels and protocols.
2) QoS, security and energy requirements in wireless automation networks.
3) Hardware, software and key characteristics of wireless sensor networks.
4) Sensor node design.
5) Data fusion in wireless sensor networks.
6) Communication constrained control: Analysis and design.
7) Analysis of closed-loop control systems with specific communication methods.
8) Compiler design (compiler from plc to simple interfacing language).
9) Testbed design( application).



Final spot on the project


We aim to design the backbone of wireless sensor network (sensor node) which able for any application from the previous.
This design is the first guide of its kind in the Middle East, which will allow the entry of this technology to the Arab world not only that but each will compete with similar products in the world because of the low cost and simplicity of design.

Did not stop at this and touching but also to use this technology in the innovation and dispense by means of current systems such as SCADA and PLC.

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