MAINBOT – Mobile Robots for Inspection and Maintenance in Extensive Industrial Plants

Maurtua, Iñaki; Susperregi, Loreto; Fernández, Ane; Tubío, Carlos; Perez, Carmen Rosas; Rodríguez, Jorge Ropero; Felsch, Torsten; Ghrissi, Meftah

doi:10.1016/j.egypro.2014.03.192

Cited by 29 publications

(14 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, critical systems related to the damage detection and navigation system in PV-plant [7]. Various disadvantages of stemming from production, damage to internal module, improper connection and the shading effects of PV panel [8][9][10].…”

Section: Research Backgroundmentioning

confidence: 99%

Independent Component Analysis and Sophisticated Distribution Control Algorithmsbased Improving the Efficecny of Solar Power Generation

Madhavan*,

KUMAR,

LOGANATHAN

2019

IJRTE

View full text Add to dashboard Cite

Today, people are increasingly worried about environmental problems due to fuel shortage and generation of renewable energy sources. Among the renewable resources, wind generators and photovoltaic panels are primary competitors. For most of their applications, they have the advantages of having a load interface with different power converter circuits for maintenance and free of contamination, but their installation costs are high. Normally Photovoltaic modules also have relatively low conversion efficiency and Overall system cost of PV using Maximum Power Point Tracking (MPPT) techniques are high. The volume can be reduced by the use of high-performance power conditioners that allow for maximum energy consumption. Existing solar power generation systems have some disadvantages of being all day as a result of less direct exposure to true sunlight. This work is aimed at exploring the functions of a MPPT system that includes installations of sophisticated distribution control (SDC) and Independent Component Analysis (ICA) methods. The duty cycle of power converter is significantly controlled using proposed SDC and ICA algorithms and guarantee MPPT operation at its highest efficiency. The function of proposed ICA and SDC has been compared with widely used in traditional algorithms in the MATLAB Simulink environment. Over 97% of capacity is achieved through the respective SDC and ICA methods.

show abstract

Section: Research Backgroundmentioning

confidence: 99%

Independent Component Analysis and Sophisticated Distribution Control Algorithmsbased Improving the Efficecny of Solar Power Generation

Madhavan*,

KUMAR,

LOGANATHAN

2019

IJRTE

View full text Add to dashboard Cite

show abstract

“…Nowadays, significant effort has already been made in several fields, they have been made for support to human process, being at levels of autonomous [13]. Two categories can be highlighted, the defect detection and the cleaning process [14], instead of spend time from collaborators of a plant to clean the installation, it is even more practice to use the robot mechanism. The defects from a panel can vary, being superficial or deeper inside the panel.…”

Section: Introductionmentioning

confidence: 99%

Application of A Computer Vision Method for Soiling Recognition in Photovoltaic Modules for Autonomous Cleaning Robots

Pivem¹,

Araujo²,

Araujo³

et al. 2019

SIPIJ

View full text Add to dashboard Cite

It is well known that this soiling can reduce the generation efficiency in PV system. In some case according to the literature of loss of energy production in photovoltaic systems can reach up to 50%. In the industry there are various types of cleaning robots, they can substitute the human action, reducing cleaning cost, be used in places where access is difficult, and increasing significantly the gain of the systems. In this paper we present an application of computer vision method for soiling recognition in photovoltaic modules for autonomous cleaning robots. Our method extends classic CV algorithm such Region Growing and the Hough. Additionally, we adopt a pre-processing technique based on Top Hat and Edge detection filters. We have performed a set of experiments to test and validate this method. The article concludes that the developed method can bring more intelligence to photovoltaic cleaning robots.

show abstract

“…However, as the thermal losses are correlated directly with the glass of the absorber tubes, which can be measured using a thermal sensor [ 11 , 12 ], a more efficient alternative to VI inspection is to use robots. In CSP plants, depending on the inspection requirements, these robots can be either ground or climbing robots [ 13 ]. VI inspections use mainly RGB sensors to evaluate geometrical characteristics [ 14 , 15 ] and thermal sensors to detect heat loss [ 16 , 17 ].…”

Section: Introductionmentioning

confidence: 99%

The Development of an Open Hardware and Software System Onboard Unmanned Aerial Vehicles to Monitor Concentrated Solar Power Plants

Mesas‐Carrascosa

Santano

Porras

et al. 2017

Sensors

View full text Add to dashboard Cite

Concentrated solar power (CSP) plants are increasingly gaining interest as a source of renewable energy. These plants face several technical problems and the inspection of components such as absorber tubes in parabolic trough concentrators (PTC), which are widely deployed, is necessary to guarantee plant efficiency. This article presents a system for real-time industrial inspection of CSP plants using low-cost, open-source components in conjunction with a thermographic sensor and an unmanned aerial vehicle (UAV). The system, available in open-source hardware and software, is designed to be employed independently of the type of device used for inspection (laptop, smartphone, tablet or smartglasses) and its operating system. Several UAV flight missions were programmed as follows: flight altitudes at 20, 40, 60, 80, 100 and 120 m above ground level; and three cruising speeds: 5, 7 and 10 m/s. These settings were chosen and analyzed in order to optimize inspection time. The results indicate that it is possible to perform inspections by an UAV in real time at CSP plants as a means of detecting anomalous absorber tubes and improving the effectiveness of methodologies currently being utilized. Moreover, aside from thermographic sensors, this contribution can be applied to other sensors and can be used in a broad range of applications where real-time georeferenced data visualization is necessary.

show abstract

MAINBOT – Mobile Robots for Inspection and Maintenance in Extensive Industrial Plants

Cited by 29 publications

References 2 publications

Independent Component Analysis and Sophisticated Distribution Control Algorithmsbased Improving the Efficecny of Solar Power Generation

Independent Component Analysis and Sophisticated Distribution Control Algorithmsbased Improving the Efficecny of Solar Power Generation

Application of A Computer Vision Method for Soiling Recognition in Photovoltaic Modules for Autonomous Cleaning Robots

The Development of an Open Hardware and Software System Onboard Unmanned Aerial Vehicles to Monitor Concentrated Solar Power Plants

Contact Info

Product

Resources

About