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Tor.ai Sensors and Controllers

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₹7,669   ₹21,146
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Tor.ai Wireless Temperature Sensor –40 °C to +85 °C Operating Temperature, ±0.1°C Accuracy and 4 Pin Harness, Mercury is designed for precise temperature monitoring across a broad operating range. Its specified –40 °C to +85 °C temperature capability allows use in applications exposed to substantially varying ambient conditions. With ±0.1°C accuracy, the sensor is suited to monitoring tasks where dependable temperature information is important for process supervision and equipment management. The wireless functionality enables convenient data communication without requiring conventional signal wiring throughout the sensing path, while the 4 pin harness provides a practical connection interface for the applicable installation arrangement. This sensor can support industrial monitoring, equipment observation, environmental measurement and automation applications. Its combination of precision, wide temperature coverage and wireless communication makes it suitable for systems requiring consistent access to temperature information from distributed locations. Tor.ai Wireless Temperature Sensor –40 °C to +85 °C Operating Temperature, ±0.1°C Accuracy and 4 Pin Harness, Mercury offers a focused solution for accurate temperature observation in connected environments. The ±0.1°C accuracy specification helps provide reliable readings for applications where small temperature variations matter. Its wide –40 °C to +85 °C operating range supports deployment across demanding thermal conditions, subject to the complete system requirements. Wireless communication can simplify installation where extensive signal cabling is undesirable, while the 4 pin harness provides a defined interface for appropriate connections. The sensor can be integrated into industrial automation, machinery monitoring, environmental supervision and smart monitoring systems. By enabling temperature information to be collected from remote or distributed points, it can help operators maintain better process visibility, identify changing conditions and support timely operational decisions based on measured thermal data.
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