Abstract: Rapid detection and scientific assessment of supporting condition for hydraulic support had been requested by the impressive promotion for the mining height of working face and the movement of deep surrounding rock, which could provide important data support for smooth coal mining, miner safety and the equipment of fully mechanized face.At present the supporting condition monitoring data are relatively simple, and the data acquisition and evaluation theory need to be improved.For the above problems, this paper carried out the research on supporting condition detection and fuzzy comprehensive evaluation method.Initially the key parameters of supporting condition evaluation were determined.Based on the analysis for the support structure, the arrangement of sensing system was determined and the calculation formula for each support condition characteristic parameter was derived.Then the support fuzzy comprehensive evaluation model was set up and the membership functions for each key parameters were calculated.Finally the implemented comprehensive evaluation for supporting condition detection after weighting coefficient was determined based on the variable weight theory.This system has been used in the 6305 working face at Tangkou Coal Mine for industrial test, which could make an important role in keeping a good supporting condition for hydraulic support.In addition, the research on supporting condition detection and fuzzy comprehensive evaluation method in this paper could lay a technical foundation of health monitoring and adaptive adjusting for hydraulic support condition.