A benchmark mechatronics platform to assess the inspection around pipes with variable pitch quadrotor for industrial sites

Well field management in urban areas faces challenges such as pollution from old waste deposits and former industrial sites, pollution from chemical accidents along transport lines or in industry, or diffuse pollution from leaking sewers. One possibility to protect the drinking water of a well field is the maintenance of a hydraulic barrier between the potentially polluted and the clean water. An example is the Hardhof well field in Zurich, Switzerland. This paper presents the methodology for a simple and fast expert system (ES), applies it to the Hardhof well field, and compares its performance to the historical management method of the Hardhof well field. Although the ES is quite simplistic it considerably improves the water quality in the drinking water wells. The ES knowledge base is crucial for successful management application. Therefore, a periodic update of the knowledge base is suggested for the real-time application of the ES.

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Disability and Work During the Industrial Revolution in Britain

10.1093/oxfordhb/9780190234959.013.11 ◽

2018 ◽

Author(s):

Daniel Blackie

Keyword(s):

Disability Studies ◽

Industrial Development ◽

Industrial Revolution ◽

Coal Industry ◽

Historical Research ◽

Disabled People ◽

Industrial Sites ◽

The Past ◽

Paid Employment

A common claim in disability studies is that industrialization has marginalized disabled people by limiting their access to paid employment. This claim is empirically weak and rests on simplified accounts of industrialization. Use of the British coal industry during the period 1780–1880 as a case study shows that reassessment of the effect of the Industrial Revolution is in order. The Industrial Revolution was not as detrimental to the lives of disabled people as has often been assumed. While utopian workplaces for disabled people hardly existed, industrial sites of work did accommodate quite a large number of workers with impairments. More attention therefore needs to be paid to neglected or marginalized features of industrial development in the theorization of disability. Drawing on historical research on disability in the industrial workplace will help scholars better understand the significance of industrialization to the lives of disabled people, both in the past and the present.

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A new fuzzy sliding-mode control for MW variable speed-variable pitch wind turbine

7th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2006) ◽

10.1049/cp:20062102 ◽

2006 ◽

Cited By ~ 1

Author(s):

Yigang Kong ◽

Zhixin Wang ◽

Hai Yuan

Keyword(s):

Sliding Mode Control ◽

Wind Turbine ◽

Sliding Mode ◽

Variable Speed ◽

Fuzzy Sliding Mode Control ◽

Variable Pitch ◽

Mode Control ◽

Fuzzy Sliding Mode

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An Optimal Footprint Based Coverage Planning for Hydro Blasting Robots

Sensors ◽

10.3390/s21041194 ◽

2021 ◽

Vol 21 (4) ◽

pp. 1194

Author(s):

Thejus Pathmakumar ◽

Madan Mohan Rayguru ◽

Sriharsha Ghanta ◽

Manivannan Kalimuthu ◽

Mohan Rajesh Elara

Keyword(s):

Genetic Algorithm ◽

Mobile Robots ◽

Numerical Simulations ◽

Labour Force ◽

Successful Implementation ◽

Multi Objective Optimization ◽

Metallic Surfaces ◽

Industrial Sites ◽

Experimental Trials ◽

Time And Energy

The hydro blasting of metallic surfaces is an essential maintenance task in various industrial sites. Its requirement of a considerable labour force and time, calls for automating the hydro blasting jobs through mobile robots. A hydro blasting robot should be able to cover the required area for a successful implementation. If a conventional robot footprint is chosen, the blasting may become inefficient, even though the concerned area is completely covered. In this work, the blasting arm’s sweeping angle is chosen as the robot’s footprint for hydro blasting task, and a multi-objective optimization-based framework is proposed to compute the optimal sweeping arc. The genetic algorithm (GA) methodology is exploited to compute the optimal footprint, which minimizes the blasting time and energy simultaneously. Multiple numerical simulations are performed to show the effectiveness of the proposed approach. Moreover, the strategy is successfully implemented on our hydro blasting robot named Hornbill, and the efficacy of the proposed approach is validated through experimental trials.

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