DOSTMANN PDF Data Logger LOG220 E with Display for Temperature/Humidity/Pressure (Internal), 1x Input for External Sensors

The DOSTMANN PDF Data Logger LOG220 E is a versatile device designed to monitor temperature, humidity, and pressure. It features an internal sensor for these three key environmental factors and includes one input for an external sensor. With a built-in display for real-time data viewing, this data logger is ideal for applications in industrial, laboratory, and environmental monitoring settings where accurate and continuous data logging is required.

Key Features:

• Brand: DOSTMANN
• Display: Built-in display for real-time viewing of temperature, humidity, and pressure data; display can be switched off
• Internal Sensors: Monitors temperature, humidity, and pressure with high accuracy
• External Sensor Input: 1x input for connecting an external sensor such as CO₂, humidity, pressure, or temperature sensor (sold separately)
• Recording Interval: Freely adjustable from 10 seconds to 24 hours
• Memory Capacity: Stores approximately 60,000 measurements
• Time Marking Function: "Time Marker" feature during data recording for event marking
• Movement Sensor: Includes a shock recording movement sensor
• Min/Max Values: Can be reset and viewed on the display
• Data Output: Automatic PDF file output; device can be used without software
• Connectivity: USB interface for easy data transfer; no driver installation needed
• Indicators: Status and alarm LEDs with buzzer
• Battery Life: More than 4 years at measuring intervals greater than 15 minutes
• Software: Free software available for download from the manufacturer's website
• Applications: Ideal for industrial, environmental, and laboratory monitoring where multiple environmental factors need tracking

Scope of Supply: Data logger, wall mount, battery, USB cover, screws, and dowels

The DOSTMANN PDF Data Logger LOG220 E provides a reliable and flexible solution for environmental monitoring, with the added capability of integrating external sensors for expanded data logging.