Abstract: Addressing issues such as significant monitoring errors, inaccurate results, and poor visualization in current methods for monitoring the condition of steel wire ropes in deep coal mine hoisting systems, this paper investigates the operational characteristics of these ropes. A method is proposed that uses visual monitoring of rope swing parameters to evaluate the operational status of the hoisting system. The collected image information of the steel wire ropes is processed centrally, enabling real-time online monitoring and intelligent diagnosis of the hoisting system's operating speed, rope tension characteristics, and vibration behavior. Visual monitoring tests conducted on the steel wire ropes of a kilometer-deep hoisting system in a Shanxi coal mine show that the maximum error deviation of the visual monitoring is 1.78 mm, occurring at the extreme vibration position of the rope. The average error is 0.87 mm, with a relative error of 2.45%. The results demonstrate that visual monitoring of hoisting system ropes can accurately acquire displacement signals of the steel wire ropes and perform visual analysis, validating the rationality of the proposed design.