Making a robot seems as a crane to fit in the arid areas in Egypt and to overcome the challenge of its mines. Cranes will develop arid areas through building structures. There is a growing population in Egypt that requires the development of its arid areas so the researcher selected the (Telescopic Tower Crane) (TTC) as a design for this robot. This crane is a mix between two cranes that are the best two to fit our desert (Arid AREAS) and can build good buildings that fit with arid areas. This robot will be controlled by an application on a mobile phone. This robot can look for the metals in the desert as (Iron - Copper – Gold -…….etc.) and it can also decide on the location of the mines in the desert and can defeasance them. It can carry these mines. It also has a camera to transport a picture for them to me on my mobile and a sensor for exploring for metals and a beam to move in all directions as it is a prototype on a small scale and will be modified later. This sensor: - Its components cost only 20 pounds so, the researcher saves up the cost of it which was 390 pounds and increases its efficiency with three capacitors, a resistor, a sensor N555, coil, Wires and a battery (9V). This robot now have the metal detector sensor for exploring the metals and the mines in the desert specially in the place of (Al- Alamein) that it is a good place to use that project in it because it have many mines in its desert and it is a good place building as it is a big desert and the government couldn’t use it because it has many mines in it. This robot becomes high elevation, smart robot help humanity and it controlled by the mobile. It helps us in our houses to collect metals from the ground and it will help all the world in the future and this metals and mines detector sensor can explore the wires in the wall to know where is that wires to detect them. This robot consists of :- Wheels, Arduino, DC- Motors, Tongue Depressor, H- Bridge Driver, Connecting Wires, Metal Detector Sensor, Gypsum, Glue, String.
Egypt has many challenges, one of them is the challenge of the mines in the desert which is an impediment for us to benefit from the big areas that contain many mines in it and Egypt considers the first in the world in the challenge of the mines since Secondworldwar specially in the place of (Al-Alamein) in the Western Desert that contains millions of mines in it as there is more than 30 million mines out of a total of 102 million are scattered around the world , and Israel planted five million mines in the Sinai and neglected them throughout the years, a crime that history will not forgive us because it is a crime against the future of the people of this country  which consider an impediment for the government to benefit from this enormous lands that found in Egypt and not care of it specially that this lands have a very good soils for agriculture and this place called ( SHAITAN Gardens) because it has many mines and it prevents Egypt from planting 650 thousand acre as the nature of El Alamein soil is clay, i.e., built land, which is the best type of land. It can be used in organic agriculture and wheat cultivation, adding to the national income about 50 billion Egyptian pounds from agriculture alone and planting 2.5 million feddans and The world in the past year has reached the use of lasers with a certain concentration of demining through portable devices or aircraft, as well as the use of robot and robot in the detection of mines, but its use is still weak to increase the cost of these devices and any errors in their use, which destroys them [1_2] and this place also is a very big place for building structures and this will help the government to solve the challenge of urban congestion as there is a growing population in Egypt that requires the development of its arid areas and this will save employability for youth and will increase the national income , not only the of place Al-Alamein in Egypt that has this enormous mines but there is many arid areas that contain these mines in it so, the researcher made that design for the robot to overcome this challenge which is a mix between the best two cranes in building (Tower Crane and Telescopic Crane ) [3_4] each one of them has an advantage and disadvantage , the advantage of the Tower Crane that it help me build a very high building because it can go up for very high distances but its disadvantage that it built by the human under the ground to be invariant and it can’t move , while the Telescopic Crane can move and have a course wheels that help in the desert to be not instill and have a beam that cover approximately forty meters with its beam that will help us in detection for the mines to cover more land and more mines so, the researcher mix them together and solve the problem for them and make it (Telescopic Tower Crane) [5_6] and made it the design for the robot with some readjustments and made it as a proposed design for the robot then make the MD (Metals and Mines detector sensor) with a very low cost components and high efficiency, as it can detect them from (25 cm.) with cost (20 pounds) only and this sensor when it detect the metals it gives a sound or light or both as a signal and it can detect all types of metals as (Gold , Alumiium , copper , ….) and this will help Egypt very much to benefit from all these metals that will increase the national income and will benefit from all this lands and this robot has a very low cost as it made with tongue depressor and it will save for Egypt many money and many employability for youth in Egypt.
Discussion , Conclusion and Results:-
The purpose divides mainly into main six purposes:-
- Move in big areas and can’t be affected with mines in the desert.
- Do its work with very high speed as it is in the desert and we don’t want to be affected with these mines. - Cover more than 40 meters with its beam.
- This robot has an advantage of very low cost and a high efficiency.
- MD (Metal Detector) cover more centimeters with low cost and high efficiency than other detectors.
- Prevent human injury during unexploded bombs clearance activities and assisting the humanitarian effort of demining and to replace human in minefield.
- A brief for the result:-
- When the researcher searched more, the previous studies reported that there is a robot but it is not a design for a crane to damage the mines and it is very expensive and doesn’t have the efficiency as this robot and doesn’t cheaper as my robot so, this robot now have the metal detector sensor for exploring for the metals and the mines in the desert specially in the place of (Al- Alamein) that it is a good place to use that project in it because it have many mines in its desert and it is a good place building as it is a big desert and the government couldn’t use it because it has many mines in it. [16_ 17].
This robot becomes high elevation, smart robot help humanity and it controlled by the mobile.
It helps us in our houses to collect metals from the ground and it will help all the world in the future and this metals and mines detector sensor can explore the wires in the wall to know where is that wires to detect them.
The researcher’s robot has a high efficient metal detector that detect metals and mines from 25 centimeters with a very low cost of 20 pounds only with this components :- Three capacitors , a resistor , a sensor N555 , coil , Wires and a battery (9V) , but the other researchers in their research papers didn’t do that as in this paper the result of it :- The results from the actual implemented
metal detector are shown and discussed for 3 types of metals: Iron, Copper, and Aluminum at various distances. The MD can detect metals about 16 cm below its coils. .
This paper was used in it other different components as:- The transmitter portion consists of the oscillator and the transmitter coil. The receiver portion consists of the receiver coil, the amplitude and phase detection circuitry, and the PIC microcontroller with the attached LCD display. . to make the metal detector sensor but it was more expensive than the researcher (MD) metal detector sensor and his sensor can detect metals from 16 centimeters only and it wasn’t a robot and it couldn’t detect mines and defeasance them. .
The researcher’s robot can also look for the metals in the desert as (Iron - Copper – Gold – Aluminum- …….etc.) and it can also decide on the location of the mines in the desert and can defeasance them. It can carry these mines. It also has a camera to transport a picture for them to the researcher on his mobile and a sensor for exploring for metals and a beam to move in all directions and the researcher can control it by his mobile by an application on it that the researcher done to make it easy controlled.
This robot is very cheap because it made with the tongue depressor to be more easy to move and to have a very low cost then he made the design for it as a tower telescopic crane because it has a beam that can move around and cover more than 40 meters to cover more spaces in the desert that have metals and mines and to save time  and used to build it these components:- 4 Wheels, Arduino, 3 DC- Motors, Tongue Depressor, H- Bridge Driver, Connecting Wires, Metal Detector Sensor, Bluetooth module, Gypsum, Glue, String ; in the end it has a very low cost.
This design with this wheels that have a course layer will fit with desert to help robot explore for mines and metals and help it move and didn’t instills in the sand.
In the researcher (MD) sensor:- he can distinguish a landmine from a metal fragment by using this process of ALIS that is similar to the result of this research paper.
But this research paper that is talking about the Landmine imaging by a Hand-held GPR and metal detector sensor (ALIS) its researcher made the metals and mines detector sensor with a low efficient way because this MD can detect mines and metals that buried at more than 20 cm. depth only not as the researcher MD that can detect metals and mines from 25 cm. and also with a high cost and this is a brief for its result :- The ALIS is a handheld system, it can offer the visualized information which can easily be used to define the location and the depth of subsurface targets. Interpolation should be used for the MD and GPR data to produce a regularly spaced gridded data set. A clear MD image can be displayed based on the gridded data set. After interpolation, migration is needed to process the GPR data for reconstruction of target image. After such signal processing, they could obtain good 2D and 3D landmine images. Combining the MD image and the GPR image, they can distinguish a landmine from a metal fragment as in the researcher MD that is in his robot. .
They can detect a landmine at a depth of more than 20 cm. .
The overall design of the researcher robot was determined by considering the speed of the whole mine detection process and a point of economic view to replace human in minefield.
This design of the robot made to explore mines and metals, remove these mines and metals that found in the desert and put on the counter weight some gypsum as the density of the gypsum is less than iron. Its density equals (2.30) g/cm^2 by the length of the beam to bear the weight so, it can bear the mines and the metals.
The Challenges that our team faced:-
As our team made the prototype for this robot as a crane, they faced some problems in the measurements of this robot to make the triangles of the tower of the robot be right angles. They were ( 6 – 8 - 10 ) cm or ( 3 – 4 - 5 ) cm but the researchers changed the design to have right angled triangles to fit with the desert and have wheels with a course layer to fit with the desert. The researchers managed to solve this problem and the other problems that faced him.
This project has no impacts on the environment as it doesn’t emit any kind of greenhouse gases as carbon oxides, but it’s completely safe and has no side effects like the prior solutions.
This qualifies the project to be applicable in the future.
That’s why it’s beneficial for the government as it increases the national income.
- I recommend to the other researchers:-
(1) Fixing a camera on the prototype to take a photo for the metals, mines and transmit them to a mobile phone application.
(2) Using another sensor to identify the amount (the quantity) of the metals, transmit it to the mobile phone application.
(3) Make the sensor in a digital form not analog form to transmit numbers to the controller.
- That will identify the quantity to know its concentration in this place in the desert.
(1) (Mark, 2006)
Mark, S. S. (2006, October). The elimination of mines in Egypt is the answer to the problem of unemployment. Retrieved from Egyptian Knowledge Bank ( DAR ALMANDUMAH ).: http://search.mandumah.com/Record/92867 (released in Arabic).
(2) (MOOREHEAD, I942)
MOOREHEAD, A. (December 5, 1942). How Montgomery Smashed Rommel. THE SATURDAY EVENING POST, p. 3. EBSCO, Egyptian knowledge Bank. .
(3) (Yang Yu, 2010)
Yang Yu, Z. Z. (2010). Research and Design of Tower crane Condition Monitoring and Fault Diagnosis System. International Conference on Artificial Intelligence and Computational Intelligence. Sanya, China: IEEE. Egyption Knowledge Bank.
(4) (Trąbka, 2014)
Trąbka, A. (2014). Dynamics of telescopic cranes with flexible structural components. International Journal of Mechanical Sciences. (p. 13). Bielsko-Biała, Poland.: ScienceDirect.Egyptian Knowledge Bank. Journal homepage: www.elsevier.com/locate/ijmecsci
(5) (Bo Peng⁎, 2018)
Bo Peng⁎, F. L. (2018). A method to optimize mobile crane and crew interactions to minimize construction cost and time. Automation in Construction. (p. 10). Stanford, USA: ScienceDirect ( Egyptian Knowledge Bank ). Journal homepage: www.elsevier.com/locate/autcon
(6) (Cranes, TOWER CRANES ( Range brochure metric / imperical )., 2017)
Cranes, T. (2017, July). TOWER CRANES ( Range brochure metric / imperical ). Retrieved from TEREX.: www.terex.com/cranes
(7) (Zubair & Choudhry, 2010)
Zubair, M., & Choudhry, M. A. (2010). Land Mine Detecting Robot Capable of Path Planning. 2010 Second World Congress on Software Engineering (p. 3). Wuhan, China: IEEE. Egyptian knowledge Bank.
(8) (Nasrabadi, 2008 )
Nasrabadi, N. M. (2008 ). Multisensor Joint Fusion and Detection of Mines. US Army Research Laboratory (p. 4). Adelphi,USA: IEEE SENSORS 2008 Conference. Egyptian knowledge Bank.
(9) (Kang ،Choi ،Suh، و Kang ، 2010)
Kang, S. P., Choi, J., Suh, S.-B., & Kang, S. (2010). Design of mine detection robot for Korean mine field. 2010 IEEE Workshop on Advanced Robotics and its Social Impacts (p. 3). Seoul, South Korea: IEEE. Egyptian knowledge Bank.
(10) (Abilash, 2017)
Abilash, V. (2017). Ardunio controlled landmine detection robot. 2017 Third International Conference on Science Technology Engineering & Management (ICONSTEM) (p. 5). Chennai, India: IEEE. Egyptian knowledge Bank.
(11) (Riggs, 2004)
Riggs, L., S. Chilaka, L. Collins, L. Lowe, and R. Weaver (2004), Discrimination experiments with the U.S. Army’s standard metal detector, Radio Sci., 39, RS4S06, doi:10.1029/2003RS002955. Egyptian knowledge Bank.
(12) (Sharawi, 2007) .
Sharawi, M. S. (2007). DESIGN AND IMPLEMENTATION OF A LOW COST VLF METAL. IEEE International Conference on Signal Processing and Communications (ICSPC) (p. 4). Dubai, United Arab Emirates: IEEE. Egyptian knowledge Bank.
(13) (MICHAEL YU. RACHKOV, 2005)
MICHAEL YU. RACHKOV, L. M. (2005). Multisensor Demining Robot. In L. M. MICHAEL YU. RACHKOV, Autonomous Robots (p. 17). Moscow , Russia and Coimbra, Portugal.: 2005 Springer Science + Business Media, Inc. Manufactured in The Netherlands. Egyptian knowledge Bank.
(14) (A.K. Hyder, 2002 )
A.K. Hyder, E. S. (2002 ). Multisensor Fusion. Pitlochry, Perthshire, Scotland.: SpringerScience+Business Media, BV , NATO Science Series. Egyptian knowledge Bank.
(15) (Kenzo NONAMI, 2003)
Kenzo NONAMI, Q. H. (2003). Development and Control of Mine Detection Robot COMET - II and COMET - III. Graduate School of Science and Technology , Chiba University , JSME International Journal (p. 10). Yayoi-cho , Inage-Ku , Chiba , Japan: JSME. Egyptian knowledge Bank.
(16) (Yeonsub Jin, 2013)
Yeonsub Jin, D. K. (2013). Strategy and development of mine detection robot system. 13th International Conference on Control, Automation and Systems (ICCAS 2013) (p. 2). Gwangju, South Korea: IEEE. Egyptian knowledge Bank.
(17) (Manzoor ،Munawar، و Muhammad ، 2012)
Manzoor, T., Munawar, A., & Muhammad, A. (2012). Visual Servoing of a Sensor Arm for Mine Detection Robot Marwa. ROBOTIK 2012; 7th German Conference on Robotics (p. 4). Munich, Germany, Germany: VDE. Egyptian knowledge Bank.
(18) (Bloch, 2003)
Bloch, N. M. (2003). Detection of low-metal content objects. Integrated Computer-Aided Engineering (p. 12). Paris,France: 2003 EBSCO. Egyptian knowledge Bank.
(19) (Claudio Bruschini, 1997)
Claudio Bruschini, B. G.-Y. (1997). Ground penetrating radar and imaging metal detector. Journal of Applied Geophysics, LAMI-DeTeC, Swiss Federal Institute of Technology, IN-F Ecublens 1 (p. 13). Lausanne, Switzerland: Elsevier Science B.V. Egyptian knowledge Bank.
(20) (Feng ، 2005)
Feng, X. (2005). Landmine imaging by a Hand-held GPR and metal. IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. (p. 4). Seoul, South Korea: IEEE. Egyptian knowledge Bank.
(21) (F.Y.C. Albert*, 2013-2014)
F.Y.C. Albert*, C. M. (2013-2014). Remotely Operated Solar-Powered Mobile Metal Detector Robot. International Conference on Robot PRIDE 2013-2014 - Medical and Rehabilitation Robotics (p. 8). UCSI University, Kuala Lumpur, Malaysia: Elsevier B.V , Procedia Computer Science , ScienceDirect. Egyptian knowledge Bank. Available online at www.sciencedirect.com.
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