北斗卫星导航产业发展态势的多维度预测方法

doi:10.3969/j.issn.0255-8297.2023.03.011

应用科学学报 ›› 2023, Vol. 41 ›› Issue (3): 500-514.doi: 10.3969/j.issn.0255-8297.2023.03.011

北斗卫星导航产业发展态势的多维度预测方法

柳占杰¹, 孙艺新¹, 袁嘉琪¹, 刘哲², 唐雪华³, 张永生⁴, 高明哲⁴

1. 国网能源研究院有限公司, 北京 102209;
2. 国网上海市电力公司, 上海 200437;
3. 武汉大学遥感信息工程学院, 湖北武汉 430079;
4. 武汉大学中国中部发展研究院, 湖北武汉 430079

收稿日期:2022-08-04 出版日期:2023-05-30 发布日期:2023-06-16
通信作者: 唐雪华,博士,研究方向为地理信息系统技术、基于轨迹数据的行为模式、电力地理信息资源应用等。E-mail:tangxuehua@whu.edu.cn E-mail:tangxuehua@whu.edu.cn
基金资助:
国家电网有限公司科技项目(No. SGSHDK00HZJS2100144)资助

Multi-dimensional Forecasting Method for Development Trend of Beidou Satellite Navigation Industry

LIU Zhanjie¹, SUN Yixin¹, YUAN Jiaqi¹, LIU Zhe², TANG Xuehua³, ZHANG Yongsheng⁴, GAO Mingzhe⁴

1. State Grid Energy Research Institute Co., Ltd., Beijing 102209, China;
2. State Grid Shanghai Electric Power Company, Shanghai 200437, China;
3. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, Hubei, China;
4. Institute of Central China Development, Wuhan University, Wuhan 430079, Hubei, China

Received:2022-08-04 Online:2023-05-30 Published:2023-06-16

摘要/Abstract

摘要： 针对北斗市场发展过程中不同维度市场产值的预测需求，从整体产值、产业链、上市公司市值等 3 个不同维度构建了北斗市场产值预测模型。从整体市场产值预测需求出发，研究对比了不同预测模型的产值预测方法及精度，得到不同数据情况下的模型选择参考；基于产业链的产值发展数据，采用不同的经济预测模型，实现单一产业链或整体产值的统计预测；基于上市公司市场产值的预测方法，对特定上市公司、整体北斗市场等不同维度和层次的市场产值进行跟踪和预测。最后，通过实验验证分析了不同模型和方法的精度和可行性，分析在不同数据基础和预测需求条件下的适用方法，为满足不同维度的北斗市场产值预测提供数据和决策支持。

关键词: 北斗卫星导航产业, 灰色系统理论, Logistic方程, 求和自回归移动平均模型

Abstract: Aiming at the forecasting demands for different dimensions of market output value during the development of Beidou market, an output value forecasting model for Beidou market is constructed from three different dimensions, including overall output value, industry chain, and market value of listed companies. This paper studies and compares the output value prediction methods and accuracy of different forecasting models from the perspective of the overall market output forecasting demand, and obtains model selection references under different conditions. Then, based on the output value data of the industrial chain, different economic forecasting models are used to make statistical prediction of a single industrial chain or the overall output value. Finally, we track and forecast the market output value of specific listed companies and the overall Beidou market in different dimensions and levels. Finally, the accuracy and feasibility of different models and methods are analyzed through experimental verification, and the applicable methods are investigated under different data bases and forecast demands. Data and decision support are provided for Beidou market output value forecast in different dimensions.

Key words: Beidou satellite navigation industry, grey system theory, Logistic equation, auto regressive integrated moving average (ARIMA) model

中图分类号:

P228.4

柳占杰, 孙艺新, 袁嘉琪, 刘哲, 唐雪华, 张永生, 高明哲. 北斗卫星导航产业发展态势的多维度预测方法[J]. 应用科学学报, 2023, 41(3): 500-514.

LIU Zhanjie, SUN Yixin, YUAN Jiaqi, LIU Zhe, TANG Xuehua, ZHANG Yongsheng, GAO Mingzhe. Multi-dimensional Forecasting Method for Development Trend of Beidou Satellite Navigation Industry[J]. Journal of Applied Sciences, 2023, 41(3): 500-514.

参考文献

[1] 蔡洪亮, 孟轶男, 耿长江, 等. 北斗三号全球导航卫星系统服务性能评估: 定位导航授时, 星基增强, 精密单点定位, 短报文通信与国际搜救[J]. 测绘学报, 2021, 50(4): 427-435. Cai H L, Meng Y N, Geng C J, et al. BDS-3 performance assessment: PNT, SBAS, PPP, SMC and SAR [J]. Acta Geodaetica et Cartographica Sinica, 2021, 50(4): 427-435. (in Chinese)
[2] 李博, 方彤. 北斗卫星导航系统(BDS)在智能电网的应用与展望[J]. 中国电力, 2020, 53(8): 107- 116. Li B, Fang T. Application and prospect of Beidou navigation satellite system in smart grid [J]. Electric Power, 53(8): 107-116. (in Chinese)
[3] 张薇, 何宏伦, 王玮. 一种适用于北斗短报文通信的天线波束指向算法[J]. 电子与信息学报, 2021, 43(10): 2848-2853. Zhang W, He H L, Wei W. An algorithm of antenna beam direction for Beidou short-message communication [J]. Journal of Electronics & Information Technology, 2021, 43(10): 2848-2853. (in Chinese)
[4] 施闯, 周凌昊, 范磊, 等. 利用北斗/GNSS观测数据分析“21·7” 河南极端暴雨过程[J]. 地球物理学报, 2022, 65(1): 186-196. Shi C, Zhou L H, Fan L, et al. Analysis of “21·7” extreme rainstorm process in Henan province using Beidou/GNSS observation [J]. Chinese Journal of Geophysics-Chinese Edition, 2022, 65(1): 186-196. (in Chinese)
[5] 龚利, 赵延杰, 朱明辉. 一种基于北斗和5G技术融合的复杂环境下机车定位方法[J]. 北京交通大学学报, 2021, 45(2): 44-70. Gong L, Zhao Y J, Zhu M H. A fusion method based on Beidou and 5G technology for locomotive positioning in complex [J]. Journal of Beijing Jiaotong University, 2021, 45(2): 44- 70. (in Chinese)
[6] 陶汉卿, 黄莺, 蔡煊, 等. 基于北斗卫星导航系统, 惯性测量单元和轨道电子地图的有轨电车车载组合定位技术[J]. 城市轨道交通研究, 2022, 25(3): 191-195. Tao H Q, Huang Y, Cai X, et al. Tram on–board integrated positioning technology based on Beidou satellite navigation system, inertial measurement unit and track electronic map [J]. Urban Mass Transit, 2022, 25(3): 191-195. (in Chinese)
[7] 刘丹, 田银枝, 曹红杰, 等. 北斗导航和“云+ 端” 技术在公安指挥调度中的应用[J]. 测绘通报, 2013(12): 74-77. Liu D, Tian Y Z, Cao H J, et al. Application of Beidou navigation and cloud+ terminal technology in public security command [J]. Bulletin of Surveying and Mapping, 2013(12): 74- 77. (in Chinese)
[8] 朱真, 江思义, 刘小明, 等. 基于广播RTK边缘计算的北斗高精度地质灾害监测系统及应用分析[J]. 水文地质工程地质, 2021, 48(5): 176-183. Zhu Z, Jiang S Y, Liu X M, et al. The Beidou high precision geological disaster monitoring system based on RTK edge calculation and its application analysis [J]. Hydrogeology & Engineering Geology, 2021, 48(5): 176-183. (in Chinese)
[9] 王涛, 刘飞, 高羽佳, 等. 基于遗传算法与WiFi聚类算法结合的北斗农机精准调度[J]. 江苏大学学报(自然科学版), 2020, 41(4): 426-445. Wang T, Liu F, Gao Y J, et al. Precise scheduling of Beidou agricultural machinery based on combination of genetic algorithm and WiFi clustering algorithm [J]. Journal of Jiangsu University (Natural Science Edition), 2020, 41(4): 426-445. (in Chinese)
[10] 郑一力, 赵燕东, 刘卫平, 等. 基于北斗卫星通信的林区小气候监测系统研究[J]. 农业机械学报, 2018, 49(2): 217-222. Zheng Y L, Zhao Y D, Liu W P, et al. Forest microclimate monitoring system based on Beidou satellite [J]. Transactions of the Chinese Society for Agricultural Machinery, 2018, 49(2): 217-222. (in Chinese)
[11] 谢恩阁, 吴洽儿, 周艳波, 等. 基于北斗船位数据灯光罩网渔船作业状态特征的提取和验证[J]. 上海海洋大学学报, 2020, 29(3): 392-400. Xie E G, Wu Q E, Zhou Y B, et al. Extraction and verification of operational state characteristics of light shield net vessels based on Beidou vessel position data [J]. Journal of Shanghai Ocean University, 2020, 29(3): 392-400. (in Chinese)
[12] 尹洪亮, 罗勇, 郝强, 等. 北斗卫星导航系统在水下无人航行器中的应用方案研究[J]. 舰船科学技术, 2021, 43(10): 137-140. Yin H L, Luo Y, Hao Q, et al. Research on application scheme of Beidou satellite navigation in underwater unmanned vehicle [J]. Ship Science and Technology, 2021, 43(10): 137-140. (in Chinese)
[13] 侯军华, 檀文炳, 余红, 等. 土壤环境中微塑料的污染现状及其影响研究进展[J]. 环境工程, 2020, 38(2): 16-27. Hou J H, Tan W B, Yu H, et al. Microplastic in soil ecosystem: a reviews on sources, fate and ecological impact [J]. Environmental Engineering, 2020, 38(2): 16-27. (in Chinese)
[14] 陈娜, 唐晨旭, 刘伟, 等. 周口市住宅商品房价格的分析与预测[J]. 数学的实践与认识, 2019, 49(19): 291-299. Chen N, Tang C X, Liu W, et al. Analysis and forecast of the residential commercial housing price in Zhoukou [J]. Mathematics in Practice and Theory, 2019, 49(19): 291-299. (in Chinese)
[15] 靳明, 张军, 郭晶, 等. 基于灰色系统理论的沥青路面使用性能预测及养护决策研究[J]. 公路工程, 2019, 44(4): 221-224. Jin M, Zhang J, Guo J, et al. Research on performance prediction and maintenance decision of asphalt pavement based on grey system theory [J]. Highway Engineering, 2019, 44(4): 221-224. (in Chinese)
[16] 张轶兰, 卢益清, 孙屹飞. 基于灰色系统理论的我国跨境电商增长规模预测[J]. 商业经济研究, 2019(3): 136-139. Zhang Y L, Lu Y Q, Sun Y F. Prediction of the growth scale of China’s cross border ecommerce based on grey system theory [J]. Journal of Commercial Economics, 2019(3): 136- 139. (in Chinese)
[17] Wang M X, Wang X T, Zhang H S. Grayscale, subjective color Doppler, combined grayscale with subjective color Doppler in predicting thyroid carcinoma: a retrospective analysis [J]. Brazilian Journal of Otorhinolaryngology, 2022, 88(2): 220-227.
[18] Zaccardi F, Santonicola M G, Laurenzi S. Quantitative assessment of nanofiller dispersion based on grayscale image analysis: a case study on epoxy/carbon nanocomposites [J]. Composites Part A: Applied Science and Manufacturing, 2018, 115: 302-310.
[19] 吴华安, 曾波, 彭友, 等. 基于多维灰色系统模型的城市人口密度预测[J]. 统计与信息论坛, 2018, 33(8): 60-67. Wu H A, Zeng B, Peng Y, et al. Forecasting urban population density using a multi-variable grey system model [J]. Statistics & Information Forum, 2018, 33(8): 60-67. (in Chinese)
[20] 吴岚怡, 王前. 基于GM(1,1)模型我国基本医疗保险基金结余预测分析[J]. 中国卫生经济, 2021, 40(9): 33-38. Wu L Y, Wang Q. Prediction of basic medical insurance fund balance in China based on GM(1,1) model [J]. Chinese Health Economics, 2021, 40(9): 33-38. (in Chinese)
[21] 井淇, 高倩倩, 蔡伟芹, 等. 基于新陈代谢GM(1,1)模型的我国卫生总费用预测分析[J]. 中国卫生统计, 2020, 37(3): 431-433. Jing Q, Gao Q Q, Cai W Q, et al. Prediction and analysis of total health expenses in China based on the metabolism GM(1,1) model [J]. Chinese Journal of Health Statistics, 2020, 37(3): 431-433. (in Chinese)
[22] 曹莉, 陆秋娟, 黄靖宇. 支持向量机和Logistic回归在MSM人群艾滋病患病风险预测中的应用[J]. 中国健康教育, 2020, 36(4): 332-335. Cao L, Lu Q J, Huang J Y. Application of support vector machine and logistic regression in the risk prediction of AIDS in MSM population [J]. Chinese Journal of Health Education, 2020, 36(4): 332-335. (in Chinese)
[23] 王兆华, 张继贤, 杨树文, 等.Logistic模型的兰州市降雨型黄土滑坡预警研究[J]. 测绘科学, 2020, 45(4): 142-148. Wang Z H, Zhang J X, Yang S W, et al. Early warning research on rainfall loess landslide in Lanzhou city based on logistic model [J]. Science of Surveying and Mapping, 2020, 45(4): 142-148. (in Chinese)

北斗卫星导航产业发展态势的多维度预测方法

Multi-dimensional Forecasting Method for Development Trend of Beidou Satellite Navigation Industry

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