高原高寒士兵智能体能训练评价技术研究与应用

发布时间：2018-06-10 01:02

本文选题：体能训练 + 能耗　；参考：《电子科技大学》2017年硕士论文

【摘要】：为解决高原地区基层部队体能训练效果评价手段过于单一,训练计划制定不科学等问题。本文以体能训练相关技术为研究内容,以精确掌握每名士兵的训练效果为原则,设计出相对科学公正的训练评价平台,最终达到高效提高体能训练效果和水平的目的。经过对驻高原部队实际应用环境的相关研究,设计适合士兵训练的实时监测平台。将平台固定在士兵身上进行实时采集训练数据,通过通信基站将数据传输到服务器进行数据分析,从中得出分析结果,给出合理化训练建议。平台中涉及到内容有训练方式的识别算法、计步算法、能耗测量模型,并通过实际应用测评方式对各类算法的准确性做出了验证,验证结果表明算法和模型准确率达到了预期的效果。提出基于能耗率的单兵与基于能耗转移进步度评价指标的多士兵训练效果评价模型,并通过实例对模型进行了对比验证,结果表明该评价模型准确可靠,做到了对体能训练效果科学、公正的评价。物联网的发展使得在民用领域中越来越多尝试使用可穿戴健康监测产品,监测产品的使用改变着我们的生活。从产品功能看,部分产品甚至做到了数据采集、传输、显示、存储和管理分析于一体,可见该领域的发展非常的快。然而对于军用领域中,此类应用仍然还处在研究阶段,而且大多数的研究仅仅还停留在针对运动步数、心跳或血压等单一的数据进行实时监测显示,而对后期数据的处理研究甚少,然而该项研究中的训练平台在目前各类算法保密的情况下,实现了集计步、行为识别、能耗估算为一体的功能。不仅如此,在训练效果评价方面还考虑到体能基础的差异给训练效果评价带来的困扰,设计出基于单兵能耗率和多士兵能耗进步度的体能训练评价模型,做到对训练科学公正的评判,为组训者合理制定训练计划提供客观可靠依据,不仅做到高效提高体能训练效果,还避免训练伤的出现,为提高高原高寒部队战斗力生成做出了应有的贡献。
[Abstract]:In order to solve the problem that the evaluation method of physical fitness training effect of grass-roots troops in plateau area is too single and the training plan is unscientific. In this paper, the relative scientific and fair training evaluation platform is designed based on the research content of physical fitness training technology and the principle of accurately mastering the training effect of each soldier. Finally, the purpose of improving the physical fitness training effect and level is achieved. A real-time monitoring platform suitable for soldiers training was designed by studying the practical application environment of troops in plateau. The platform is fixed on the soldiers to collect training data in real time, and the data is transmitted to the server through the communication base station for data analysis. The analysis results are obtained from the platform, and the rational training suggestions are given. The platform involves the training method of identification algorithm, step algorithm, energy consumption measurement model, and through the practical application of evaluation methods to verify the accuracy of various algorithms. The results show that the accuracy of the algorithm and the model reach the desired results. A multi-soldier training effect evaluation model based on the energy consumption rate and the evaluation index of energy transfer progress is proposed. The model is compared and verified by an example. The results show that the evaluation model is accurate and reliable. The result of physical training is scientific and fair. With the development of the Internet of things, more and more wearable health monitoring products have been tried in the field of civil use, and the use of monitoring products has changed our lives. From the point of view of product function, some products even achieve data acquisition, transmission, display, storage and management analysis in one, so the development of this field is very fast. However, for military applications, these applications are still in the research stage, and most of the studies only focus on real-time monitoring of single data such as movement steps, heart rate or blood pressure. However, the training platform in this study has realized the functions of counting steps, behavior recognition and energy consumption estimation under the condition that all kinds of algorithms are confidential. Moreover, in the aspect of training effect evaluation, considering the puzzlement caused by the difference of physical ability foundation, a physical fitness training evaluation model based on single soldier energy consumption rate and multi-soldier energy consumption progress degree is designed. To judge training scientifically and fairly, to provide objective and reliable basis for the group to make training plan reasonably, not only to improve the effect of physical training, but also to avoid the appearance of training injury. In order to improve the combat effectiveness of the alpine army, it has made its due contribution.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：E251;TP391.44;TN929.5

【参考文献】