Comprehensive Quantification and Model Optimization of Sports Industry Layout Structure under the Guidance of Location Entropy Intelligent Sensor

J. Sensors Pub Date : 2022-08-26 DOI:10.1155/2022/9822371
Qiang Li
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引用次数: 1

Abstract

The field bus control system based on field bus is a multidisciplinary emerging technology with intelligent sensor, automatic control, computer, communication, network, and other technologies as the main content. All have broad application prospects. In this paper, the CAN bus technology in the field bus is combined with the sensor, and the OPC technology is used to realize the acquisition of the underlying data in the application and control system. In this paper, the industry agglomeration model, the leading industry model, the urban gravity model, and its index are calculated, and the agglomeration effect, leading industry, and urban gravity of the sports industry in two provinces and one city in a certain region are judged from the micro level. Location entropy and relative density of technical elements, scale effect function, product income elasticity coefficient, market share, and other economic indicators are compared and described, and the sports leading industry and sports industry growth pole area are deduced, and the corresponding industrial development stage is judged. We analyze the strength of the polarization effect and diffusion effect of the sports industry in the above-mentioned regions. Economic factors, social factors, and traffic road factors are selected to analyze the driving force of the distribution of gymnasiums. According to the results of binary and multivariate correlation analysis, it is found that the gross domestic product is very important to the development of the sports industry and directly determines the regional demand for sports. There are sports industry forms that are clustered in areas with high economic levels; population density is selected as the representative of social factors, and the research results show that population density has a strong correlation with the number of sports industry distributions. The reason is that the development of the sports industry ultimately depends on demand. It is difficult to form a concentrated demand for related sports activities in areas with small population density, so the distribution of the sports industry is also very small; and the transportation factor is the main factor affecting economic development and population flow. Therefore, it also indirectly affects the spatial layout of the sports industry.
位置熵智能传感器指导下体育产业布局结构的综合量化与模型优化
基于现场总线的现场总线控制系统是以智能传感器、自动控制、计算机、通信、网络等技术为主要内容的多学科新兴技术。都具有广阔的应用前景。本文将现场总线中的CAN总线技术与传感器相结合,利用OPC技术实现应用与控制系统中底层数据的采集。本文对产业集聚模型、主导产业模型、城市引力模型及其指数进行了计算,并从微观层面对某一地区两省一市体育产业的集聚效应、主导产业和城市引力进行了判断。对技术要素的区位熵和相对密度、规模效应函数、产品收入弹性系数、市场占有率等经济指标进行了比较和描述,推导出体育主导产业和体育产业增长极区域,并判断出相应的产业发展阶段。分析了上述地区体育产业的极化效应和扩散效应的强弱。选取经济因素、社会因素和交通道路因素,分析体育馆布局的驱动力。根据二元和多元相关分析的结果,发现国内生产总值对体育产业的发展非常重要,并直接决定了区域体育需求。体育产业形态在经济水平较高的地区集聚;选取人口密度作为社会因素的代表,研究结果表明,人口密度与体育产业分布数量有较强的相关性。究其原因,体育产业的发展最终取决于需求。人口密度小的地区很难形成相关体育活动的集中需求,因此体育产业的分布也很小;交通因素是影响经济发展和人口流动的主要因素。因此,也间接影响着体育产业的空间布局。
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