Main Technical Parameters

(1)Applicable diameter range for steel wire rope/continuous oil pipe/logging cable: Φ10-120mm

(2)Metal cross-sectional area (LMA) loss rate detection error: < ±1%

(3)Damage point positioning accuracy: ≥99%

(4)Monitoring speed: 0-20m/s

(5)Passability: Unaffected by surface burrs, oil contamination, or deformation

(6)Distance between sensor and wire rope: 10–30mm

(7)Measured wire rope/continuous oil pipe/logging cable swing threshold: <10mm

(8)Weak magnetic sensor sensitivity: ≥1.5V/mT

(9)Machine vision recognition accuracy: 0.2mm × 0.2mm

(10)Maximum sampling accuracy: 2048 times/m

(11)System operating voltage: AC220V/127V ±10%/50Hz

(12)System communication network: Wireless / wired industrial Ethernet

(13)Docking communication protocol: TCP/IP, Modbus

(14)Dustproof & waterproof rating: IP67

(15)Operating environment: -20℃~+60℃ / RH ≤95%

(16)Continuous operating time: ≥168h

(17)Equipment service life: ≥10 years

Detection Rate

Severe damage: Metal cross-sectional area loss rate 8%–10%, real-time detection rate 100%

Heavy damage: Metal cross-sectional area loss rate 6%–8%, real-time detection rate 100%

Moderate damage: Metal cross-sectional area loss rate 4%–6%, real-time detection rate 100%

Mild damage: Metal cross-sectional area loss rate 2%–4%, real-time detection rate >99%

Minor defect: 1% ≤ metal cross-sectional area loss rate ≤ 2%, real-time detection rate >95%

Repeatability

Severe damage: 100%, damage detection waveform basically fits

Heavy damage: 100%, damage detection waveform basically fits

Moderate damage: >99%, damage detection waveform basically fits

Mild damage: >99%, damage detection waveform basically fits

Minor defect: >95%, damage detection waveform basically fits

Accuracy

Steel wire rope/continuous oil pipe/logging cable metal cross-sectional area (LMA) loss rate detection error: < ±1%

Diameter measurement error: ±1%*

Length measurement error: <0.2%

Damage point positioning accuracy: ≥99%

Note: *Partial configuration includes AI machine vision recognition system