Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2020, Cilt: 1 Sayı: 1, 40 - 46, 15.06.2020

Öz

Kaynakça

  • S. Safkan, H. Hamarat, Z. Duran, U. Aydar, M.F. Çelik, “Yersel Lazer Tarama Yönteminin Mimari Belgelemede Kullanılması”, V. Uzaktan Algılama ve Coğrafi Bilgi Sistemleri Sempozyumu, İstanbul, 2014.
  • U. Avdan, E. Pekkan and R. Çömert, “Mağara Ölçümlerinde Yersel Lazer Tarayıcıların Kullanılması (Tozman mağarası örneği)”, Harita Teknolojileri Elektronik Dergisi, vol. 5, no. 2, 2013, pp. 16-28.
  • T. Uzun and Y. Spor, “Yersel Lazer (nokta bulut) Tarama Yöntemi ile Rölöve–Restitüsyon-Restorasyon Projesi Hazırlama Süreci ve Bir Örnek: Elazığ Harput Kale Hamamı”, Tasarım Kuram Dergisi, vol. 15, no. 28, 2019, pp. 1-26.
  • K. Gümüş and H. Erkaya, “Yersel Lazer Tarayıcılar ve Konum Doğruluklarının Araştırılması”, Yıldız Teknik Üniversitesi, Fen Bilimleri Enstitüsü, Master dissertation. 2008.
  • K. Gümüş and H. Erkaya, “Mühendislik Uygulamalarında Kullanılan Yersel Lazer Tarayıcı Sistemler”, 11. Türkiye Harita Bilimsel ve Teknik Kurultayı, Ankara. 2007.
  • Ç. Seylan, Ö.S. Bican and F. Semiz, “İnsansız Araçlarla Düzlemsel Olmayan Alanların Taranması”, Savunma Bilimleri Dergisi, vol. 11, 2012, pp. 107-117.
  • Garmin Ltd (2016). Lidar Lite v3 Operation Manual and Technical Specification, https://static.garmin.com/ pumac/LIDAR_Lite_v3_Operation_Manual_and_Technical_Specifications.pdf, Access date: 19.05.2020.
  • Adafruit. Slip Ring with Flange. https://www.adafruit.com/product/1196, Access date: 19.05.2020.
  • Kiatronics. 28BYJ-48 Stepper Motor. https://pdf.direnc.net/upload/28byj-48-reduktorlu-step-motor-datasheet.pdf, Access date:19.05.2020.
  • Arduino. Arduino UNO. https://store.arduino.cc/usa/arduino-uno-rev3, Access date:19.05.2020.

Recommendation of a New Device for Calculation of Non-Planning Areas

Yıl 2020, Cilt: 1 Sayı: 1, 40 - 46, 15.06.2020

Öz

Area calculation is frequently used in engineering areas as well as especially in the construction sector. It is used in the effectiveness and efficiency research of companies, in the design and management of work areas and warehouses. In the marketing sector, it is used to deliver independent areas. The success of the delivery process is measured by customer satisfaction. In engineering services, area calculation is frequently used during the design phase. The designs of logistics storage areas and residential independent areas can be exemplified in the design of independent area. It is very important to calculate the right area when making these designs. Large area calculation devices are used in geographical area calculations and the appearance of historical monuments of restoration works. Laser scanners, drones and drones are used in the app. It is not appropriate to use these devices in small areas, such as specified areas. It is more suitable to use devices that measure single-axis length in the account of independent areas of industrial and residential structures. The simple area account is multiplied by data from two axis measurements. Individual measurement and calculation errors occur in manual measurements. Mistakes made in the production process cause serious economic problems. At the same time, companies suffer from prestige losses. A system is needed to eliminate these errors. For this reason, the idea of designing a device that can measure and calculate with a multi-axis measurement has emerged. Measuring, mapping and calculating planar and non-planar independent areas can be made with the developed device. Thus, practical and accurate calculation and mapping can be done at low cost. The laser distance sensor connected to the microcontroller is made with the help of a step motor and a area account with 360° scanning of the area. 20 different areas were calculated both by making a single-axis measurement and with the help of the device. These calculations were compared with single-axis measurements made with the help of civil engineers and error rates were obtained. As a result of the study, it was observed that the device made measurements with an average error of 3.64%. The lowest error rate was 1.50%, while the highest error rate was 6.04%. It is thought that better results will be achieved by using different equipment and methods in the design of the device. It is believed that it has the potential to pave the way for work to be done in many areas.

Kaynakça

  • S. Safkan, H. Hamarat, Z. Duran, U. Aydar, M.F. Çelik, “Yersel Lazer Tarama Yönteminin Mimari Belgelemede Kullanılması”, V. Uzaktan Algılama ve Coğrafi Bilgi Sistemleri Sempozyumu, İstanbul, 2014.
  • U. Avdan, E. Pekkan and R. Çömert, “Mağara Ölçümlerinde Yersel Lazer Tarayıcıların Kullanılması (Tozman mağarası örneği)”, Harita Teknolojileri Elektronik Dergisi, vol. 5, no. 2, 2013, pp. 16-28.
  • T. Uzun and Y. Spor, “Yersel Lazer (nokta bulut) Tarama Yöntemi ile Rölöve–Restitüsyon-Restorasyon Projesi Hazırlama Süreci ve Bir Örnek: Elazığ Harput Kale Hamamı”, Tasarım Kuram Dergisi, vol. 15, no. 28, 2019, pp. 1-26.
  • K. Gümüş and H. Erkaya, “Yersel Lazer Tarayıcılar ve Konum Doğruluklarının Araştırılması”, Yıldız Teknik Üniversitesi, Fen Bilimleri Enstitüsü, Master dissertation. 2008.
  • K. Gümüş and H. Erkaya, “Mühendislik Uygulamalarında Kullanılan Yersel Lazer Tarayıcı Sistemler”, 11. Türkiye Harita Bilimsel ve Teknik Kurultayı, Ankara. 2007.
  • Ç. Seylan, Ö.S. Bican and F. Semiz, “İnsansız Araçlarla Düzlemsel Olmayan Alanların Taranması”, Savunma Bilimleri Dergisi, vol. 11, 2012, pp. 107-117.
  • Garmin Ltd (2016). Lidar Lite v3 Operation Manual and Technical Specification, https://static.garmin.com/ pumac/LIDAR_Lite_v3_Operation_Manual_and_Technical_Specifications.pdf, Access date: 19.05.2020.
  • Adafruit. Slip Ring with Flange. https://www.adafruit.com/product/1196, Access date: 19.05.2020.
  • Kiatronics. 28BYJ-48 Stepper Motor. https://pdf.direnc.net/upload/28byj-48-reduktorlu-step-motor-datasheet.pdf, Access date:19.05.2020.
  • Arduino. Arduino UNO. https://store.arduino.cc/usa/arduino-uno-rev3, Access date:19.05.2020.
Toplam 10 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Yazılım Mühendisliği (Diğer)
Bölüm Research Articles
Yazarlar

Ferhat Toslak Bu kişi benim 0000-0003-1054-379X

Mahmut Sarı 0000-0002-9298-5518

Emrah Aydemir 0000-0002-8380-7891

Yılmaz Altun 0000-0002-7232-7921

Yayımlanma Tarihi 15 Haziran 2020
Gönderilme Tarihi 2 Haziran 2020
Yayımlandığı Sayı Yıl 2020 Cilt: 1 Sayı: 1

Kaynak Göster

APA Toslak, F., Sarı, M., Aydemir, E., Altun, Y. (2020). Recommendation of a New Device for Calculation of Non-Planning Areas. Journal of Soft Computing and Artificial Intelligence, 1(1), 40-46.
AMA Toslak F, Sarı M, Aydemir E, Altun Y. Recommendation of a New Device for Calculation of Non-Planning Areas. JSCAI. Haziran 2020;1(1):40-46.
Chicago Toslak, Ferhat, Mahmut Sarı, Emrah Aydemir, ve Yılmaz Altun. “Recommendation of a New Device for Calculation of Non-Planning Areas”. Journal of Soft Computing and Artificial Intelligence 1, sy. 1 (Haziran 2020): 40-46.
EndNote Toslak F, Sarı M, Aydemir E, Altun Y (01 Haziran 2020) Recommendation of a New Device for Calculation of Non-Planning Areas. Journal of Soft Computing and Artificial Intelligence 1 1 40–46.
IEEE F. Toslak, M. Sarı, E. Aydemir, ve Y. Altun, “Recommendation of a New Device for Calculation of Non-Planning Areas”, JSCAI, c. 1, sy. 1, ss. 40–46, 2020.
ISNAD Toslak, Ferhat vd. “Recommendation of a New Device for Calculation of Non-Planning Areas”. Journal of Soft Computing and Artificial Intelligence 1/1 (Haziran 2020), 40-46.
JAMA Toslak F, Sarı M, Aydemir E, Altun Y. Recommendation of a New Device for Calculation of Non-Planning Areas. JSCAI. 2020;1:40–46.
MLA Toslak, Ferhat vd. “Recommendation of a New Device for Calculation of Non-Planning Areas”. Journal of Soft Computing and Artificial Intelligence, c. 1, sy. 1, 2020, ss. 40-46.
Vancouver Toslak F, Sarı M, Aydemir E, Altun Y. Recommendation of a New Device for Calculation of Non-Planning Areas. JSCAI. 2020;1(1):40-6.