Compared with traditional large-stroke displacement sensors, this draw wire rope sensor has three core strengths. First, it supports a maximum travel of 50m, which can meet the displacement measurement needs of most large-scale equipment. Second, the 304 stainless steel wire has strong wear resistance and corrosion resistance, which can maintain stable performance in outdoor and humid environments. Third, it has a compact installation structure, which can be installed in narrow space scenarios. It solves the pain points of traditional large-stroke sensors such as high cost, poor environmental adaptability and difficult installation, and provides a practical and affordable solution for large-stroke displacement monitoring.
The specific technical parameters of this draw wire displacement sensor are as follows: Standard travel range: 0.5m, 1m, 2m, 5m, 10m, 20m, 50m (customizable); Measurement accuracy: ±0.1% of full scale; Repeat positioning accuracy: ±0.05mm; Wire drawing speed: ≤1m/s; Wire material: 304 stainless steel with diameter of 0.8mm; Housing material: Galvanized steel shell with waterproof treatment; Power supply: 12V DC to 24V DC; Output signal: Pulse encoder signal or 4-20mA analog signal; Protection rating: IP67, suitable for outdoor rain and dust environments; Operating temperature: -40℃ to 85℃; Relative humidity: 10% to 90% RH without condensation; Overall size: 200mm * 120mm * 80mm (standard model).
This draw wire rope displacement sensor is suitable for multiple heavy-duty industrial scenarios. In water conservancy and hydropower engineering, it can be used for real-time position monitoring of gate lifting and dam deformation; in port and shipping logistics, it can be used for travel detection of bridge cranes and gantry cranes; in construction machinery, it can be used for position control of concrete pump trucks and lifting platforms; in storage and logistics, it can be used for height detection of three-dimensional shelves and displacement monitoring of automated warehouses. It can provide accurate displacement data for large-scale equipment to help enterprises realize automated monitoring and control of equipment operation.
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