DESCRIPTION OF THE RESEARCH RESULTS

Transcription

1 Ref.: TIC_UAH_33 Industrial Sector Researcher Department Industrial Automation Felipe Espinosa Zapata José Luis Lázaro Galilea Electronics Contact Details Web Site Title DESCRIPTION OF THE RESEARCH RESULTS Intelligent Transport System for the optimzation of indoor shared resources: routes, communication channels and sensor networks. Abstract GEINTRA is a research group from the Electronics Department of the University of Alcala. The group offers solutions for route selection and digital control with adaptive sampling. It is an useful system for transport optimization and functionality of indoor mobile units. With competitive advantages such as travel time optimization, selective use of the wireless communication channel and energy cost reduction for sensors distributed in the environment. The group is looking for industrial automation companies to achieve technical cooperation agreements and licensing agreements. Description and special features The system has application for optimal routing techniques, with on-line adjustment along the path for the travel time optimization between two points. The solution avoids units breakdown and waiting times in an industrial environment with multiple transport units and alternative routes. The system also has application of remote control digital techniques with adapting sample (sel-triggered) for the state of the communication channel. For path tracking transport in indoor units sampling, both independently and in several units formation (convoy). The solution uses the implementation of sensing and estimation techniques for information only when it is required to optimize the units transport, improve both energy consumption and computational cost for the sensory modules distribution. The proposed system manages access to the shared communications network by multiple transport units 1

2 and the sensors location distributed by the industrial environment, reducing the effects of channel delays and packets losses. The transport units are mobile robots, there are demonstrators available. Innovative aspects The route optimization techniques represent an improvement in execution times and they can be adapted to any changes in the environment from a priori planned route solutions. Digital aperiodic sampling techniques, for motion control and the estimation of information from the sensor measurements, have a proven shared resources optimization compared to the classical solution of periodic sampling, such as the communication channel and the sensors network. Technology Keywords Intelligent transportation systems, indoor transport, routing optimization, self-triggered control, eventbased state estimation, motion control remote, cooperative guidance, network monitoring system, wireless sensor network. Scientific domains Information and Communication Technologies Industrial Manufacture, Material and Transport technologies Other Industrial Technologies Energy Physical and Exact Sciences UNESCO Codes , , , , Current stage of development of the research result Development phase Developed, available for demonstration Biological Sciences Agriculture and Marine Resources Agrofood Industry Measurements and standards Environment and risk prevention Socioeconomics Already on the market 2

3 Funding Research European RTD project National project Regional project Private funding COMMERCIAL ASPECTS Competitive advantages The proposed technologies have a particular interest to large industrial environments where multiple transport units share resources coexists (paths, channels of communication and external sensors). Its application can reduce the execution times of journeys, decentralize control of mobile units, service charge and optimize the communication channel and minimize the consumption of sensor units networked. Current state of industrial and intellectual property Patent applied Patent granted Software registered Comments Exclusive rights Secret know how Copyright protected The research results are published. The know-how is owned by authors and researchers. Type of collaboration sought Technical cooperation Joint venture agreement Manufacturing agreement Commercial agreement with technical assistance License agreement Comments The research group collaboration is specified in the adaptation (customization) of the solutions developed to a particular environment, with specific transport units and a network of certain communications and sensory. Industrial sectors of the potential users Companies that use automated transport units within their work environment such as industry (logistics, storage, packaging, etc.), hospitals and disabled centres. NACE Codes 5210, 5229, 3

4 Additional information 4

5 Contact Details Universidad de Alcalá-Oficina de Transferencia de Resultados de Investigación (OTRI) Edificio Politécnico-Campus Universitario Ctra. de Madrid-Barcelona, Km.33, , Alcalá de Henares (Madrid-Spain) / otriuah@uah.es 5