NEM SICAKLIK BASINÇ SÜRE DATA LOGGER KALİBRASYONU

Bir örnek datalogger cihaz özelliği:

  Teknik Özellikler

• Sıcaklık ölçüm aralığı: -30°C … +70°C
• Sıcaklık hassasiyeti: ±0.5°C (-20°C…+40°C), Diğer derecelerde ±1°C
• Sıcaklık çözünürlüğü: 0.1°C
• Ayarlanabilir kayıt aralıkları: 10 saniye ile 24 saat arası
• Ekran: LCD ekran
• Hafıza kapasitesi: 32000 kayıt kapasitesi
• Boyutları: 80 x 25 x 12 mm
• Ağırlık: 25 gram
• Koruma sınıfı: IP67
• Alarm özelliği: Var (Sadece görsel alarm)
• °C/°F birimlerini değiştirebilme: Var
• Güç kaynağı: 1 adet CR2032 pil

DATA LOGGER NEDİR?

DATA LOGGERLAR NASIL ÇALIŞIR

A data logger (also datalogger or data recorder) is an electronic device that records data over time or about location either with a built-in instrument or sensor or via external instruments and sensors. Increasingly, but not entirely, they are based on a digital processor (or computer), and called digital data loggers (DDL). They generally are small, battery-powered, portable, and equipped with a microprocessor, internal memory for data storage, and sensors. Some data loggers interface with a personal computer and use software to activate the data logger and view and analyze the collected data, while others have a local interface device (keypad, LCD) and can be used as a stand-alone device.

Data loggers vary from general-purpose types for a range of measurement applications to very specific devices for measuring in one environment or application type only. It is common for general purpose types to be programmable; however, many remain as static machines with only a limited number or no changeable parameters. Electronic data loggers have replaced chart recorders in many applications.

One of the primary benefits of using data loggers is the ability to automatically collect data on a 24-hour basis. Upon activation, data loggers are typically deployed and left unattended to measure and record information for the duration of the monitoring period. This allows for a comprehensive, accurate picture of the environmental conditions being monitored, such as air temperature and relative humidity.

The cost of data loggers has been declining over the years as technology improves and costs are reduced. Simple single-channel data loggers cost as little as $25. More complicated loggers may cost hundreds or thousands of dollars.

Standardization of protocols and data formats has been a problem but is now growing in the industry and XML, JSON, and YAML are increasingly being adopted for data exchange. The development of the Semantic Web and the Internet of Things is likely to accelerate this present trend.

Several protocols have been standardized including a smart protocol, SDI-12, that allows some instrumentation to be connected to a variety of data loggers. The use of this standard has not gained much acceptance outside the environmental industry. SDI-12 also supports multi-drop instruments. Some data logging companies are also now supporting the MODBUS standard. This has been used traditionally in the industrial control area, and many industrial instruments support this communication standard. Another multi-drop protocol that is now starting to become more widely used is based upon CAN-Bus (ISO 11898). Some data loggers use a flexible scripting environment to adapt themselves to various non-standard protocols.

The terms data logging and data acquisition are often used interchangeably. However, in a historical context, they are quite different. A data logger is a data acquisition system, but a data acquisition system is not necessarily a data logger.

• Data loggers typically have slower sample rates. A maximum sample rate of 1 Hz may be considered to be very fast for a data logger, yet very slow for a typical data acquisition system.
• Data loggers are implicitly stand-alone devices, while typical data acquisition systems must remain tethered to a computer to acquire data. This stand-alone aspect of data loggers implies onboard memory that is used to store acquired data. Sometimes this memory is very large to accommodate many days, or even months, of unattended recording. This memory may be battery-backed static random access memory, flash memory, or EEPROM. Earlier data loggers used magnetic tape, punched paper tape, or directly viewable records such as “strip chart recorders“.
• Given the extended recording times of data loggers, they typically feature a mechanism to record the date and time in a timestamp to ensure that each recorded data value is associated with a date and time of acquisition to produce a sequence of events. As such, data loggers typically employ built-in real-time clocks whose published drift can be an important consideration when choosing between data loggers.
• Data loggers range from simple single-channel input to complex multi-channel instruments. Typically, the simpler the device the less programming flexibility. Some more sophisticated instruments allow for cross-channel computations and alarms based on predetermined conditions. The newest data loggers can serve web pages, allowing numerous people to monitor a system remotely.
• The unattended and remote nature of many data logger applications implies the need for some applications to operate from a DC power source, such as a battery. Solar power may be used to supplement these power sources. These constraints have generally led to ensuring that the devices they market are extremely power efficient relative to computers. In many cases, they are required to operate in harsh environmental conditions where computers will not function reliably.
• This unattended nature also dictates that data loggers must be extremely reliable. Since they may operate for long periods nonstop with little or no human supervision and may be installed in harsh or remote locations, it is imperative that so long as they have power, they will not fail to log data for any reason. Manufacturers go to great lengths to ensure that the devices can be depended on in these applications. As such data loggers are almost completely immune to the problems that might affect a general-purpose computer in the same application, such as program crashes and the instability of some operating systems.

Applications of data logging include:

• Unattended weather station recording (such as wind speed / direction, temperature, relative humidity, solar radiation).
• Unattended hydrographic recording (such as water level, water depth, water flow, water pH, water conductivity).
• Unattended soil moisture level recording.
• Unattended gas pressure recording.
• Offshore buoys for recording a variety of environmental conditions.
• Road traffic counting.
• Measure temperatures (humidity, etc.) of perishables during shipments: Cold chain.^[1]
• Measure variations in light intensity.
• Measuring temperature of pharmaceutical products, medicines and vaccines during storage
• Measuring temperature and humidity of perishable products during transportation to ensure cold chain is maintained
• Process monitoring for maintenance and troubleshooting applications.
• Process monitoring to verify warranty conditions
• Wildlife research with pop-up archival tags
• Measure vibration and handling shock (drop height) environment of distribution packaging.^[2]
• Tank level monitoring.
• Deformation monitoring of any object with geodetic or geotechnical sensors controlled by an automatic deformation monitoring system.
• Environmental monitoring.
• Vehicle testing (including crash testing)
• Motor racing
• Monitoring of relay status in railway signaling.
• For science education enabling ‘measurement’, ‘scientific investigation’ and an appreciation of ‘change’
• Record trend data at regular intervals in veterinary vital signs monitoring.
• Load profile recording for energy consumption management.
• Temperature, humidity and power use for heating and air conditioning efficiency studies.
• Water level monitoring for groundwater studies.
• Digital electronic bus sniffer for debug and validation