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第289行： − Big data can be used to improve training and understanding competitors, using sport sensors. It is also possible to predict winners in a match using big data analytics.<ref>{{cite web|url=http://www.itweb.co.za/index.php?option=com_content&view=article&id=147241|title=Data scientists predict Springbok defeat |author=Admire Moyo| work=itweb.co.za|date=23 October 2015 |access-date=12 December 2015}}</ref>+ − Future performance of players could be predicted as well. Thus, players' value and salary is determined by data collected throughout the season.<ref>{{cite web|url=http://www.itweb.co.za/index.php?option=com_content&view=article&id=147852|title= Predictive analytics, big data transform sports − |author=Regina Pazvakavambwa|work=itweb.co.za|date= 17 November 2015 − |access-date=12 December 2015}}</ref> + − '''''【终译版】'''''大数据可以通过运动传感器来改善训练和了解竞争对手。还可以使用大数据分析预测比赛的赢家。球员未来的表现也可以预测。因此，球员的价值和薪水是由整个赛季收集的数据决定的。+ − − In Formula One races, race cars with hundreds of sensors generate terabytes of data. These sensors collect data points from tire pressure to fuel burn efficiency.<ref>{{cite web|url=https://www.huffingtonpost.com/dave-ryan/sports-where-big-data-fin_b_8553884.html|title= Sports: Where Big Data Finally Makes Sense |author=Dave Ryan| work=huffingtonpost.com |date= 13 November 2015 |access-date=12 December 2015}}</ref> − Based on the data, engineers and data analysts decide whether adjustments should be made in order to win a race. Besides, using big data, race teams try to predict the time they will finish the race beforehand, based on simulations using data collected over the season.<ref>{{cite magazine|url=https://www.forbes.com/sites/frankbi/2014/11/13/how-formula-one-teams-are-using-big-data-to-get-the-inside-edge/|title= How Formula One Teams Are Using Big Data To Get The Inside Edge|author=Frank Bi|magazine=Forbes|access-date=12 December 2015}}</ref> − − − − '''''【终译版】'''''在一级方程式赛车比赛中，装有数百个传感器的赛车会产生TB的数据。这些传感器收集从轮胎压力到燃油燃烧效率的数据点。根据这些数据，工程师和数据分析师决定是否应该进行调整以赢得比赛。此外，使用大数据，比赛团队试图根据赛季收集的数据进行模拟，预测他们将提前完成比赛的时间。 − −
→运动
=== 运动 ===
=== 运动 ===
大数据可以通过运动传感器来改善训练和了解竞争对手。还可以使用大数据分析预测比赛的赢家。<ref>{{cite web|url=http://www.itweb.co.za/index.php?option=com_content&view=article&id=147241|title=Data scientists predict Springbok defeat |author=Admire Moyo| work=itweb.co.za|date=23 October 2015 |access-date=12 December 2015}}</ref>球员未来的表现也可以预测。因此，球员的价值和薪水是由整个赛季收集的数据决定的。<ref>{{cite web|url=http://www.itweb.co.za/index.php?option=com_content&view=article&id=147852|title= Predictive analytics, big data transform sports|author=Regina Pazvakavambwa|work=itweb.co.za|date= 17 November 2015 |access-date=12 December 2015}}</ref>
在一级方程式赛车比赛中，装有数百个传感器的赛车会产生TB的数据。这些传感器收集从轮胎压力到燃油燃烧效率的数据点。<ref>{{cite web|url=https://www.huffingtonpost.com/dave-ryan/sports-where-big-data-fin_b_8553884.html|title= Sports: Where Big Data Finally Makes Sense |author=Dave Ryan| work=huffingtonpost.com |date= 13 November 2015 |access-date=12 December 2015}}</ref>根据这些数据，工程师和数据分析师决定是否应该进行调整以赢得比赛。此外，使用大数据，比赛团队试图根据赛季收集的数据进行模拟，预测他们将提前完成比赛的时间。<ref>{{cite magazine|url=https://www.forbes.com/sites/frankbi/2014/11/13/how-formula-one-teams-are-using-big-data-to-get-the-inside-edge/|title= How Formula One Teams Are Using Big Data To Get The Inside Edge|author=Frank Bi|magazine=Forbes|access-date=12 December 2015}}</ref>
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=== 技术 ===
=== 技术 ===