【正文】 or coal mines to enhance its output and economic benefit． However, the underground working face accidents happen frequently[1],which has heavily affected and restricted the safety and the production of coal mines． As a result, it is significant to deeply research and analyze the safety of manmachineenvironment system in fully mechanization mining face． 2． Analysis of human factor Man is the main body, the key to create wealth and to attain the aim in the manmachineenvironment system． On the other hand, man is also the main factor to induce accidents． The bination of man’s unsafe behavior and unsafe machinery that is usually formed by man induces accident to happen． 2． 1． Causes of human errors and control of them 2． 1． 1． causes of human errors The author considers that a human error means the man didn’t finish the 3 prescriptive function or didn’t finish the prescriptive function in time under the prescriptive conditions． As a result, man, machine or environment of the system suffers loss to some extent． The following causes inducing human errors are analyzed through investigating some coal mines ． (1)Safety awareness is so dim that workers usually act against rules． (2)Character of workers is giddybrained． (3)Physiological factor． Some weaknesses of human in physiology are the root of human errors ． (4)Mental obstacle． (5)Stuff of workers is low． (6)Fatigue． Unusual state and other special conditions． (7)Defects of machine． (8)Environmental factors． 2． 1． 2． Control of human errors On the basis of analyzing and grasping the causes of human errors, we can take some countermeasures to decrease human errors． Firstly, the safety management system, which takes man as the center, should be established． Secondly, on the basis of management system, it is important to make man safety． These countermeasures mainly include safety law education, safety knowledge education, safety skill education, safety idea education, typical accident education, biorhythm and safety measures． Thirdly, all works should be standard． Fourthly, working environment should be improved greatly． Fifthly, it is important to design good interface for decreasing human errors． Sixthly, safety culture should be spark plugged in enterprises． 2． 2． Analysis of human fuzzy reliability According to the theory of Hinesburg and Maslow, the hierarchy figure of human fuzzy reliability is established as Figure1． 4 Fig． 1 the hierarchy figure of human fuzzy reliability According to the theory of analytic hierarchy process[2],we can calculate weight Wi of every index． And then we invite some experts to evaluate the real value Di of every index, thus we can calculate fuzzy reliability of some one or some colony with the following formula． ??? 71iDi Wi? (1) The authors calculate the fuzzy reliability of workers in fully mechanized mining face of Xinzhuang coal mine． First． classify all the 146 workers to 5 groups according to their age． Secondly, calculate the fuzzy reliability of every group． The results are： 0． 988,0． 994,0． 993,0． 995 and 0． 99． Finally, calculate the fuzzy reliability of the whole group． The result is 0． 9924． Mental factors, physiological factors and environmental factors are considered in the model of fuzzy reliability． This makes some progress in the Fuzzy reliability Sociality need Selffulfillment need Respect need Safety need Physiology need Salary Working condition Sense of obiligation Sense of success Policy management welfare Promotion 5 aspect of human reliability． There are some defects in this model yet． 2． 3． Relationship between accidents and human factors 2． 3． 1． Relationship between mining accident and stuff of workers The relationship between mining face death accidents and flesh wound accidents from 1999 to 2020 taking place in Xinzhuang mine and workers’age, length of service, cultural degree are explored with the method of figure analysis． Taking the death accident as an example, Figure 2 to Figure 4 shows that death accidents in mining face decrease with the rise of age． the increase of length of service, the upgrade of cultural degree from the general tendency． Fig． 2 Age distribution of death toll 6 Fig． 3 Length of service distribution of death toll Fig． 4 Culture degree distribution of death toll