常规潜水减压算法中梯度因子的优化研究  

Optimization of gradient factors in normal decompression algorithm

作　　者：王晔炜 徐伟刚[1] 

机构地区：[1]第二军医大学海军医学系潜水医学教研室,上海200433

出　　处：《军事医学》2017年第3期165-168,共4页Military Medical Sciences

基　　金：第二军医大学军事医学专项(2014JS18)

摘　　要：目的根据梯度因子(GF)在潜水减压算法中起到的调整方案保守度的作用,研究其作用规律并提出优化应用原则。方法取各理论组织的饱和数值,列表计算减压上限进行分析。从减压安全和效率方面对GF可能产生的效应进行评价,对GF的锚定点进行修改。结果和结论对于浅而短的潜水,GF的设定数值宜高;对于深而长的潜水,GF的设定数值宜相对较低,并建议采用吸氧减压法;修改GF的锚定点可能会增大减压病的风险,须慎用。Objective To optimize the application principles of gradient factors（ GFs） in decompression algorithm by analyzing its law of regulation. Methods The saturated value of compartments was listed and the limits of decompression were calculated to evaluate the effect of GFs on safety and efficiency of decompression. The anchor point of GFs was changed. Results and Conclusion A higher GF was recommended in shallow and short dives,while in deep and long dives a moderate low GF and decompression by oxygen was preferred. The modification of the anchor points of GFs can increase the risk of decompression sickness and should be used with caution.

关 键 词：减压算法 梯度因子 潜水 潜水医学 减压病 

分 类 号：R84[医药卫生—航空、航天与航海医学]