The application of soil temperature measurement by LM35 temperature sensors

Liu, Cuihong; Ren, Wentao; Zhang, Benhua; Lv, Changyi

doi:10.1109/emeit.2011.6023459

Cited by 40 publications

(22 citation statements)

References 2 publications

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“…They also verified a higher accuracy that might be achieved with additional calibrations. Besides, [11] and [1] emphasize that the LM35 calibration is not complex and [4] verified that different LM35 sensor devices presented a similar operational behavior with good stability. [12] used the LM35 with a microcontroller to control a solar heating water system of a tank with 300 liters that can be useful for urban agriculture irrigation.…”

Section: Introductionmentioning

confidence: 88%

“…However this work focuses on the LM35 sensor that is integrated sensor and has important advantages over other sensor types, as low cost, high accuracy, linear output signal, small size, calibration, reliability, easy interfacing with data loggers, and low power consumption. Basic LM35 versions measures temperature up to 100°C that is satisfactory for usual measurements in agriculture [1] and [2]. Currently there are sensors integrated with better performance, as the DS18B20 that has a resolution capable of performing sensing in increments of 0.0625°C; however the LM35 is still cheaper and easier to find on the market.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Simple Hardware Efficiency for Temperature Measurement in Agriculture and Environment

Martins

Voltan

Barbosa

2013

BJIC

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Abstract -This work focuses basically on the design and analysis of simple and low cost hardware systems efficiency for temperature measurement in agricultural area. The main objective is to prove quantitatively, through statistical data analysis, to what extent a simple hardware designed with inexpensive components can be used safely in the indoor temperature measurement in farm buildings, such as greenhouses, warehouse or silos. To verify the of simple hardware efficiency, its data were compared with data from measurements with a high performance LabVIEW platform. This work proved that a simple hardware based on a microcontroller and the LM35 sensor can perform well. It presented a good accuracy but a relatively low precision that can be improved when performed some consecutive signal sampling and then used its average value. Although there are many papers that explain these components, this work has the distinction of presenting a data analysis in numerical form and using high performance systems to ensure critical data comparison.Index Terms -Temperature measurement, sensor, Microcontroller.

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Section: Introductionmentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Analysis of Simple Hardware Efficiency for Temperature Measurement in Agriculture and Environment

Martins

Voltan

Barbosa

2013

BJIC

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“…Tegangan keluaran LM35 linier suhu Celsius proporsional, pada suhu biasa, itu dapat memberikan ± 1/4 ° C presisi umum suhu kamar tanpa perlu kalibrasi tambahan. Ujian menggunakan sensor suhu tipe LM35 dengan plastik pengemasan [15].…”

Section: B Perancangan Perangkat Kerasunclassified

Alarm Kebakaran Multisensor dengan Implementasi Fuzzy Dua Level

2019

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Sebuah solusi deteksi kebakaran diperkenalkan dalam penelitian ini, dengan tujuan dapat membedakan sumber kebakaran untuk mengurangi kesalahan deteksi. Sistem yang dikembangkan menerapkan metode Tsukamoto dalam membangun perangkat lunak Fuzzy dua level untuk memproses masukan deteksi sumber api dari perangkat keras multisensor. Pengujian dilakukan dengan mengamati hasil pembacaan lima sensor yang berbeda. Data dari sensor-sensor tersebut diolah oleh algoritma Fuzzy melalui komputer yang terhubung ke Mikrokontroller Arduino Mega melalui komunikasi serial. Pengamatan dilakukan ketika sistem diberikan setidaknya sebelas jenis masukan sumber api yang berbeda. Pengujian kinerja Fuzzy dilakukan dengan membandingkan Fuzzy 2 level yang telah dikembangkan dengan Fuzzy 1 level. Kemudian, sistem diamati secara langsung apakah sistem mampu membedakan semua sumber api yang merupakan sumber kebakaran maupun yang bukan sumber kebakaran yang diujikan. Fuzzy 1 level membutuhkan 234 Rule Base sedangkan Fuzzy 2 level hanya 54 Rule Base sehingga Fuzzy 2 level lebih sederhana. Keberhasilan pembacaan deteksi kebakaran mencapai 80 persen. Hasil ini merupakan hasil paling baik dibanding dengan sistem alarm Fuzzy 1 level yang hanya mencapai 70 persen dan alarm konvensional hanya mencapai 40 persen.

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“…It is a linear device or it provides linear data. The LM35 series are precision integrated-circuit temperature sensors, whose output voltage is linearly proportional to the Celsius (Centigrade) temperature [26] [27] [28]. The calculation of temperature from the sensor is shown in equation 1.…”

Section: Sensor Sectionmentioning

confidence: 99%