中药资源大数据的应用与展望

doi:10.19788/j.issn.2096-6369.210102

农业大数据学报 ›› 2021, Vol. 3 ›› Issue (1): 14-24.doi: 10.19788/j.issn.2096-6369.210102

• 专题——农产品单品种大数据 • 上一篇下一篇

中药资源大数据的应用与展望

张明旭¹(), 陈元², 席琳图雅³, 张茹¹, 毕雅琼⁴, 张春红^1,^5,^6,⁷, 吴涛涛⁸, 李旻辉^1,^2,^4,^5,^6,⁷()

^1.包头医学院，包头 014040
^2.内蒙古医科大学，呼和浩特 010110
^3.锡林郭勒盟蒙医医院，锡林浩特 026000
^4.内蒙古自治区中医药研究所，呼和浩特 010020
^5.内蒙古自治区特色道地药材资源保护与利用重点实验室，包头 014040
^6.中药资源学重点实验室，包头 014040
^7.道地药材蒙古黄芪种植与开发内蒙古自治区工程研究中心，包头 014040
^8.内蒙古天养浩恩奇尔中药材科技开发有限公司，包头 014200

收稿日期:2020-11-10 出版日期:2021-03-26 发布日期:2021-05-18
通讯作者: 李旻辉 E-mail:zhang_mingxu@yeah.net;li_minhui@aliyun.com
作者简介:张明旭，男，硕士研究生，研究方向：中蒙药资源开发利用；E-mail: zhang_mingxu@yeah.net
基金资助:
国家自然科学基金“‘巴沙嘎’类蒙药材品种整理与品质评价研究”(81874336);2019年医疗服务与保障能力提升补助资金（中医药事业传承与发展部分）“全国中药资源普查项目”(财社〔2019〕39号);国家中药材产业技术体系综合试验站专项基金项目(CARS-21);“十二五”国家科技支撑计划项目“内蒙古自治区5种特色蒙药濒危植物资源保护与可持续利用发展体系的构建”(2012BAI28B02);国家自然科学基金“基于遥感技术的奈曼旗蒙中药材种植产业扶贫规划研究”(M1942003)

Application and Prospects for Big Data of Traditional Chinese Medicine Resources

Mingxu Zhang¹(), Yuan Chen², Tuya Xilin³, Ru Zhang¹, Yaqiong Bi⁴, Chunhong Zhang^1,^5,^6,⁷, Taotao Wu⁸, Minhui Li^1,^2,^4,^5,^6,⁷()

^1.Baotou Medical College, Baotou 014040, China
^2.Inner Mongolia Medical University, Hohhot 010110, China
^3.Xilinguole Meng Mongolian General Hospital, Xilinhot 026000, China
^4.Inner Mongolia Institute of Traditional Chinese Medicine, Hohhot 010020, China
^5.Inner Mongolia Key Laboratory of Characteristic Geoherbs Resources Protection and Utilization, Baotou 014040, China
^6.Key Laboratory of Resourceology of Chinese Medicinal Materials, Baotou 014040, China
^7.Inner Mongolia Engineering Research Center of The Planting and Development of Astragalus membranaceus of the Geoherbs, Baotou 014040, China
^8.Inner Mongolia Tianyanghaoenqier Traditional Chinese Medicine Science and Technology Development Company, Baotou 014200, China

Received:2020-11-10 Online:2021-03-26 Published:2021-05-18
Contact: Minhui Li E-mail:zhang_mingxu@yeah.net;li_minhui@aliyun.com

摘要/Abstract

摘要：

大数据指的是具有数据量大、实时性强、数据种类多、数据有价值4大特性的海量数据的集合。随着计算机科学和信息技术的快速发展，大数据在医疗健康领域已具有广泛应用。在国家大数据战略布局逐渐健全和“一带一路”的推广的背景下，中药资源产业亟待国际化发展的升级转型，将中药资源产业与大数据分析技术的融合可以有力的促使中医药相关产业的全面化发展和深入研究。中药资源大数据的全面发展越发成为中医药资源相关产业发展的重要驱动力之一。中药资源大数据主要包括中药资源种类数目、物种空间分布情况、资源蕴藏量、资源变化趋势、中药栽培与野生情况、收购量、需求量、供给量、中药材质量及中药传统应用知识等大量数据。这些数据的统筹分析对于中药资源产业的规划引导和整体布局具有重要影响。因此，及时掌握中药资源大数据的应用与发展现状，可以更好地为后续的研究和应用指引方向。本文从中药资源大数据的应用情况方面着手，综述了中药资源数据库、中药资源动态监测站的建设现状和中药资源大数据的研究进展。最后，本文针对在中药资源大数据发展中可能遇到的问题提出了建议，为中药资源产业可持续发展进行了科学的规划指导，为中医临床治疗中更加优质的疗效及中医药事业的发展奠定基础。

关键词: 中药资源, 大数据, 数据库, 遥感

Abstract:

Big data refers to the collection of massive amounts of information, and it has four characteristics: large amounts of data; strong real-time performance; multiple types of data; and valuable data. Following the rapid development of computer science and information technology, big data has been widely applied in the field of health and medicine. China has undergone major improvement to its national big data resources. In conjunction with that process and the promotion of the Belt and Road Initiative, the need to upgrade and transform China’s traditional medicine resource industry has clearly emerged. Integrating China’s traditional medicine resource industry with big data analysis technology can effectively promote the development of industries related to such medicine as well as in-depth research. The comprehensive development of big data of traditional Chinese medicine resources has increasingly become an important driving force in developing related industries. With respect to traditional Chinese medicine resources, big data mainly involves the accumulation and processing of large volumes of information, such as the following: the number of types of traditional Chinese medicine resources; the spatial distribution of plant and animal species used in traditional Chinese medicine; the number of industrial resources; changes in the availability of resources; cultivating plant and animal species for traditional Chinese medicine versus harvesting them from the wild; the amount of resources that need to be purchased; demand level; supply level; the quality of materials used in traditional Chinese medicine; and knowledge related to the application of such medicine. Analyzing those data can exert a vital influence on overall planning related to the resource industry for traditional Chinese medicine. Accordingly, an opportune assessment of the application and development of big data technology for Chinese medicine resources can better guide the direction of future research. The present study begins with an application of big data technology to traditional Chinese medicine resources. This paper summarizes the current status regarding the development of resource databases for traditional Chinese medicine. This study made use of dynamic monitoring stations for traditional Chinese medicine resources; it also describes how research has progressed with respect to the application of big data technology for resources for traditional Chinese medicine. This study concludes with suggestions for problems that may occur in developing big data technology for Chinese medicine resources. This article covers scientific planning and offers guidance for the sustainable development of the resources industry for Chinese medicine; it sets a foundation for additional high-quality research into clinical treatment for traditional Chinese medicine as well as the pursuit of careers in such medicine.

Key words: resources for traditional Chinese medicine, big data, database, remote sensing

中图分类号:

TP392

张明旭, 陈元, 席琳图雅, 张茹, 毕雅琼, 张春红, 吴涛涛, 李旻辉. 中药资源大数据的应用与展望[J]. 农业大数据学报, 2021, 3(1): 14-24.

Mingxu Zhang, Yuan Chen, Tuya Xilin, Ru Zhang, Yaqiong Bi, Chunhong Zhang, Taotao Wu, Minhui Li. Application and Prospects for Big Data of Traditional Chinese Medicine Resources[J]. Journal of Agricultural Big Data, 2021, 3(1): 14-24.

图/表 3

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中药资源大数据的应用与展望

Application and Prospects for Big Data of Traditional Chinese Medicine Resources

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