本文選題：體能訓練 + 能耗��； 參考：《電子科技大學》2017年碩士論文

【摘要】：為解決高原地區(qū)基層部隊體能訓練效果評價手段過于單一,訓練計劃制定不科學等問題。本文以體能訓練相關技術(shù)為研究內(nèi)容,以精確掌握每名士兵的訓練效果為原則,設計出相對科學公正的訓練評價平臺,最終達到高效提高體能訓練效果和水平的目的。經(jīng)過對駐高原部隊實際應用環(huán)境的相關研究,設計適合士兵訓練的實時監(jiān)測平臺。將平臺固定在士兵身上進行實時采集訓練數(shù)據(jù),通過通信基站將數(shù)據(jù)傳輸?shù)椒⻊掌鬟M行數(shù)據(jù)分析,從中得出分析結(jié)果,給出合理化訓練建議。平臺中涉及到內(nèi)容有訓練方式的識別算法、計步算法、能耗測量模型,并通過實際應用測評方式對各類算法的準確性做出了驗證,驗證結(jié)果表明算法和模型準確率達到了預期的效果。提出基于能耗率的單兵與基于能耗轉(zhuǎn)移進步度評價指標的多士兵訓練效果評價模型,并通過實例對模型進行了對比驗證,結(jié)果表明該評價模型準確可靠,做到了對體能訓練效果科學、公正的評價。物聯(lián)網(wǎng)的發(fā)展使得在民用領域中越來越多嘗試使用可穿戴健康監(jiān)測產(chǎn)品,監(jiān)測產(chǎn)品的使用改變著我們的生活。從產(chǎn)品功能看,部分產(chǎn)品甚至做到了數(shù)據(jù)采集、傳輸、顯示、存儲和管理分析于一體,可見該領域的發(fā)展非常的快。然而對于軍用領域中,此類應用仍然還處在研究階段,而且大多數(shù)的研究僅僅還停留在針對運動步數(shù)、心跳或血壓等單一的數(shù)據(jù)進行實時監(jiān)測顯示,而對后期數(shù)據(jù)的處理研究甚少,然而該項研究中的訓練平臺在目前各類算法保密的情況下,實現(xiàn)了集計步、行為識別、能耗估算為一體的功能。不僅如此,在訓練效果評價方面還考慮到體能基礎的差異給訓練效果評價帶來的困擾,設計出基于單兵能耗率和多士兵能耗進步度的體能訓練評價模型,做到對訓練科學公正的評判,為組訓者合理制定訓練計劃提供客觀可靠依據(jù),不僅做到高效提高體能訓練效果,還避免訓練傷的出現(xiàn),為提高高原高寒部隊戰(zhàn)斗力生成做出了應有的貢獻。
[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.
【學位授予單位】：電子科技大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：E251;TP391.44;TN929.5

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