Now a day’s rescue operation in the coal mine was treated as a dangerous task. Even if an explosion occurs it can’t be easily known to the inside labors. After the explosion occurs when rescue workers get into the mine without knowing the environmental condition. The environmental parameters such as toxic gases, high temperature, methane leakage, oxygen are sensed by using sensors and the sensed data are transmitted to the control room through wifi. Hence this paper aims to design a coal mine detect and rescue robot using the raspberry pi3 model. The robot has a camera that transmits live video signal to the control room. If the temperature exceeds a threshold value then it provides a cooling fan is automatically ON and if any gas leakage is detected the workers are given an alert through a Buzzer. The robot is controlled using navigation buttons on the webpage and it consists of sensor data, live video, and buzzer alert. With the help of this robot, it is possible to reduce the loss due to coal mine disaster and efficient rescue operations can be carried out.
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Librería: Books Puddle, New York, NY, Estados Unidos de America
Condición: New. pp. 104. Nº de ref. del artículo: 26391779926
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Librería: Majestic Books, Hounslow, Reino Unido
Condición: New. Print on Demand pp. 104. Nº de ref. del artículo: 388868489
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Now a day's rescue operation in the coal mine was treated as a dangerous task. Even if an explosion occurs it can't be easily known to the inside labors. After the explosion occurs when rescue workers get into the mine without knowing the environmental condition. The environmental parameters such as toxic gases, high temperature, methane leakage, oxygen are sensed by using sensors and the sensed data are transmitted to the control room through wifi. Hence this paper aims to design a coal mine detect and rescue robot using the raspberry pi3 model. The robot has a camera that transmits live video signal to the control room. If the temperature exceeds a threshold value then it provides a cooling fan is automatically ON and if any gas leakage is detected the workers are given an alert through a Buzzer. The robot is controlled using navigation buttons on the webpage and it consists of sensor data, live video, and buzzer alert. With the help of this robot, it is possible to reduce the loss due to coal mine disaster and efficient rescue operations can be carried out. 104 pp. Englisch. Nº de ref. del artículo: 9786203025477
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
Condición: New. PRINT ON DEMAND pp. 104. Nº de ref. del artículo: 18391779932
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Librería: moluna, Greven, Alemania
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kothapally AJAY KUMARAjay Kumar Kothapally completed M.tech in Embedded Systems from JNTU Hyderabad and works as a Software Engineer in one of the top MNC. He is one of the members of IEEE journals and published papers in the Interna. Nº de ref. del artículo: 452570876
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Now a day's rescue operation in the coal mine was treated as a dangerous task. Even if an explosion occurs it can't be easily known to the inside labors. After the explosion occurs when rescue workers get into the mine without knowing the environmental condition. The environmental parameters such as toxic gases, high temperature, methane leakage, oxygen are sensed by using sensors and the sensed data are transmitted to the control room through wifi. Hence this paper aims to design a coal mine detect and rescue robot using the raspberry pi3 model. The robot has a camera that transmits live video signal to the control room. If the temperature exceeds a threshold value then it provides a cooling fan is automatically ON and if any gas leakage is detected the workers are given an alert through a Buzzer. The robot is controlled using navigation buttons on the webpage and it consists of sensor data, live video, and buzzer alert. With the help of this robot, it is possible to reduce the loss due to coal mine disaster and efficient rescue operations can be carried out.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch. Nº de ref. del artículo: 9786203025477
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Now a day's rescue operation in the coal mine was treated as a dangerous task. Even if an explosion occurs it can't be easily known to the inside labors. After the explosion occurs when rescue workers get into the mine without knowing the environmental condition. The environmental parameters such as toxic gases, high temperature, methane leakage, oxygen are sensed by using sensors and the sensed data are transmitted to the control room through wifi. Hence this paper aims to design a coal mine detect and rescue robot using the raspberry pi3 model. The robot has a camera that transmits live video signal to the control room. If the temperature exceeds a threshold value then it provides a cooling fan is automatically ON and if any gas leakage is detected the workers are given an alert through a Buzzer. The robot is controlled using navigation buttons on the webpage and it consists of sensor data, live video, and buzzer alert. With the help of this robot, it is possible to reduce the loss due to coal mine disaster and efficient rescue operations can be carried out. Nº de ref. del artículo: 9786203025477
Cantidad disponible: 1 disponibles
Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: Neu. Implementation of Rescue Robot using IoT | Smart Robot in Coal Mines | Ajay Kumar Kothapally | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786203025477 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 119695669
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