Treaded control system for rescue robots in indoor environment

2009 ◽  
Author(s):  
H. Mano ◽  
K. Kon ◽  
N. Sato ◽  
M. Ito ◽  
H. Mizumoto ◽  
...  
Keyword(s):  
Control System ◽  
Indoor Environment ◽  
Rescue Robots

Design and Application of the Indoor Environment Monitoring & Control System at Tianjin First Central Hospital

2013 ◽  
Vol 380-384 ◽  
pp. 635-638
Author(s):  
Chen Chen
Keyword(s):  
Control System ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Indoor Environment ◽  
Communication Protocol ◽  
Automatic Monitoring ◽  
Wireless Sensor ◽  
Environment Monitoring ◽  
Human Beings ◽  
Central Hospital

With advance of our human beings science and technology and enhance of the living standards, more and more people have addressed higher requirements on the environmental conditions in a hospital, therefore, the traditional and no-intelligent monitoring devices are being replaced by the automated and networked monitoring systems gradually. In this case, application of the wireless sensor network just fits this need. This paper proposes the Tianjin First Central Hospital indoor environment monitoring & control system of distributed acquisition and execution, and centralized management by focusing on the needs for the technical indicators of the hospital indoor environment. During design of the system, an universal design concept was put forward, and also a non-standard communication protocol for the wireless sensor network designed independently in combination with the OSI open standard. In this paper, realization of the communication protocol among the nodes with embedded software and the operation mechanism of the modes themselves are discussed, also a console panel has been developed for the data center. Several software design algorithms are proposed with respect to the network layout. This paper also describes the test platform of the Tianjin First Central Hospital indoor environment monitoring & control system established with the network components designed, and provides the test and verification results, including the monitored data of the various gases, corresponding automatic control functions, and underlay BER analysis. The results show that this system can basically realize automatic monitoring on the Tianjin First Central Hospital indoor environment. At present, the sensitive gases include CO, CO2, O2, NH3 and formaldehyde, sensitive environments temperature, humidity and light intensity, and controlled targets ventilation and lighting. This paper offers an optional solution for environment monitoring and has certain theoretical value and engineering significance.

scholarly journals Improvements in robot navigation through operator speech preferences

2012 ◽  
Vol 3 (2) ◽  
Author(s):  
Daniel N. Cassenti ◽  
Troy D. Kelley ◽  
Rosemarie E. Yagoda ◽  
Eric Avery
Keyword(s):  
Control System ◽  
Structural Properties ◽  
Dual Task ◽  
Robot Control ◽  
Indoor Environment ◽  
Robot Navigation ◽  
Improved Performance ◽  
Robot Control System

AbstractThe capability to use voice commands to control robots offer an intriguing possibility to increase the efficiency with which robotic operators may give commands. This study consists of two experiments that investigate how robot operators prefer to speak to robots in a search-and-find task and to evaluate which mode of speaking generates the greatest performance. Experiment 1 revealed that operators used selective exocentric references when available to direct a confederate acting as a robot. Experiment 2 revealed that with the same exocentric references operators showed improved performance while directing an actual robot as compared with egocentric-only commands. Experiment 2 also revealed that performing a dual task was less detrimental to performance when using exocentric commands as compared to egocentric commands. Suggestions for improvements to a robot control system that follow from these results include developing recognition of structural properties of an indoor environment and improving map incorporation.

scholarly journals Reduce energy consumption using efficient temperature Control inside building

2020 ◽  
Vol 170 ◽  
pp. 01013
Author(s):  
Subbarao Yarramsetty ◽  
Divyesh Sharma ◽  
MVN Siva Kumar
Keyword(s):  
Climate Change ◽  
Control System ◽  
Energy Consumption ◽  
Automatic Control ◽  
Temperature Control ◽  
Questionnaire Survey ◽  
Indoor Environment ◽  
Temperature Control System ◽  
Reduce Energy Consumption ◽  
Energy Consumptions

One of the biggest problems we have in front of us today is climate change. However, this problem can be solved if we can take right steps individually. One of the major steps which can be taken is to reduce energy consumptions in the houses by automatic control of ACs according to users’ comfort which will help in energy consumption. It is observed that a huge difference can be created by using automated temperature control system in respect to energy consumption. This paper contains study of indoor environment of the rooms in 1.8K Hostel and classrooms of Department of Civil Engineering in the Campus of NIT WARANGAL is done to analyse the comfort temperature inside the rooms for the efficient use of energy. Questionnaire survey-based study was adopted for this paper to analyse the range of thermal comfort of the students.

scholarly journals Indoor Environment Intelligent Control System of Green Building Based on PMV Index

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Tiandong Shao
Keyword(s):  
Control System ◽  
Energy Consumption ◽  
Wind Speed ◽  
Thermal Comfort ◽  
Intelligent Control ◽  
Human Body ◽  
Air Conditioning ◽  
Indoor Environment ◽  
Green Building ◽  
Intelligent Control System

With the development and progress of society, people have higher and higher requirements for indoor high temperature and humidity environment. The traditional air conditioning system uses temperature and humidity as control parameters, which has a single control goal, low comfort, and high energy consumption. The purpose of this study is to use predicted mean vote (PMV) thermal comfort index and green building to analyze the intelligent control system of indoor environment. Our intelligent research platform is a set of “intelligent” experimental platforms. The sample data were divided into human metabolic rate, human external work, and heat resistance of clothes, temperature, and air. According to the PMV value, velocity, relative humidity, and average radiation temperature are divided into three categories, which are composed of seven parameters. According to the survey results, PMV at 24°C fluctuates around 0.5, which is an important value for human thermal comfort, and people will feel more comfortable. When the temperature reaches 26°C, the PMV index will reach 0.6 or even more than 0.6, and the human body will be in an unpleasant state due to overheating. In addition, the higher the wind speed is, the smaller the PMV value is and the stronger the cooling effect is. The higher the temperature is, the smaller the influence of wind speed on PMV value is. In other words, the sensitivity of the human body to wind speed will be reduced. In this study, the PMV index intelligent control system can adjust the indoor environment properly, and the conclusion is that the energy consumption and use effect are superior to air conditioning equipment. This research has contributed to the development of intelligent buildings.

scholarly journals Development of Sustainable Indoor Air Quality for Air-Conditioning System Using Smart Control Techniques

2021 ◽  
Vol 11 (1) ◽  
pp. 1
Author(s):  
Tosin T. Oye ◽  
Naren Gupta ◽  
Keng Goh ◽  
Toyosi K. Oye
Keyword(s):  
Control System ◽  
Health Effects ◽  
Air Conditioning ◽  
Indoor Environment ◽  
Living Conditions ◽  
Technical Solution ◽  
Air Conditioning System ◽  
Control Techniques ◽  
Smart Control ◽  
Co2 Level

Air-conditioning as a technical solution to protect inhabitants from excessive heat exposure creates the challenge of expanding indoor health effects. While air-conditioning has mostly been applied as an improvement to living conditions, health and environmental problems associated with its use frequently occurs. Therefore, this paper challenges and extends existing knowledge on sustainability related to the smart air-conditioning systems. The decrease of CO2 level in building requires an intelligent control system because energy utilisation has been legitimately connected with wellbeing and eventually to operational expenses. A building’s indoor environmental essential factors of comfort are IAQ, visual and thermal. Through an appropriate structured controller, the performance of indoor control system can be altogether improved. It merits creating innovative control techniques to optimise the indoor environment quality for air-conditioning system. The newly proposed backpropagation neural network was optimised using Matlab to control the CO2 level appropriately while carefully taking into account the performance of system controllers such as the stability, adaptability, speed response and overshoot. The controller of indoor environment was designed, and the proportional-integral-derivative control was utilised as a result of its suitability. The smart controllers were designed to regulate the parameters automatically to ensure the optimised control output. The indoor CO2 possesses an appropriate time constant and settling time of 2.1s and 27.3s, respectively. Therefore, utilising smart control techniques to exterminate various indoor health effects is expected to produce sustainable living conditions.

scholarly journals Challenges for Novice Developers in Rough Terrain Rescue Robots: A Survey on Motion Control Systems

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Branesh M. Pillai ◽  
Jackrit Suthakorn
Keyword(s):  
Control System ◽  
Control Systems ◽  
Motion Control ◽  
Search And Rescue ◽  
Rough Terrain ◽  
Motion Control System ◽  
Intelligent Machines ◽  
Human Control ◽  
Rescue Robots

Several researchers have revealed the huge potentials of rescue robots in disaster zones. In addition to searching for victims, these intelligent machines are also effective in obtaining useful information from the zones. These functions help to optimize the search and rescue missions. However, the fact that rescue robots have to operate in risky and dangerous environments necessitates the need for such machines to have an efficient motion control system, which can help them to operate autonomously or with minimal human control. This paper reviews the use of reliable controllers in enhancing the sensing capabilities of rescue robots. Huge potential of sensorless sensing method in the rescue robots are highlighted. It is shown that the use of sensorless sensing method enables developer to create simple and cheaper robots for various complex situations. Thus, it is imperative to conduct further studies on how to optimize the operations of robots that lack sensors.

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