دورية أكاديمية
[Analysis of early diagnosis and prevention techniques for occupational pneumoconiosis based on patent perspectives in China's coal industry].
| العنوان: | [Analysis of early diagnosis and prevention techniques for occupational pneumoconiosis based on patent perspectives in China's coal industry]. |
|---|---|
| المؤلفون: | Wang J; China University of Mining and Technology of Library, Xuzhou 221116, China., Shi HD; China University of Mining and Technology of Library, Xuzhou 221116, China., Wang P; China University of Mining and Technology of Library, Xuzhou 221116, China., Wu YG; China University of Mining and Technology of Library, Xuzhou 221116, China., Wang LL; China University of Mining and Technology of Library, Xuzhou 221116, China., Song ZL; China University of Mining and Technology of Library, Xuzhou 221116, China. |
| المصدر: | Zhonghua lao dong wei sheng zhi ye bing za zhi = Zhonghua laodong weisheng zhiyebing zazhi = Chinese journal of industrial hygiene and occupational diseases [Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi] 2023 Dec 20; Vol. 41 (12), pp. 948-955. |
| نوع المنشور: | English Abstract; Journal Article |
| اللغة: | Chinese |
| بيانات الدورية: | Publisher: Tianjin shi lao dong wei sheng yan jiu suo ; Tianjin shi lao dong wei sheng huan jing yi xue hui Country of Publication: China NLM ID: 8410840 Publication Model: Print Cited Medium: Print ISSN: 1001-9391 (Print) Linking ISSN: 10019391 NLM ISO Abbreviation: Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: [Tientsin] : Tianjin shi lao dong wei sheng yan jiu suo ; Tianjin shi lao dong wei sheng huan jing yi xue hui, [1983- |
| مواضيع طبية MeSH: | Coal Industry* , Pneumoconiosis*/diagnosis , Pneumoconiosis*/prevention & control, Humans ; Early Diagnosis ; Dust ; China |
| مستخلص: | Occupational pneumoconiosis in the coal industry is an occupational disease that seriously endangers coal miners' health. Early diagnosis and prevention techniques are significant in controlling its incidence rate and reducing its harm. This article takes the patent data related to the early diagnosis and prevention of occupational pneumoconiosis in the coal industry, published from 1985 to 2021, as the research object. It uses tools such as the Derwent Data Analyzer (DDA) software, the Patyee Database, and the PatSnap Database to analyze the technological development trend and characteristics in this field from aspects of growth trend, primary patent holders, IPC classification layout, value, and research and development hotspots. The results show that the number of patent applications in this field indicates a rapid growth trend, mainly in the hands of Shandong Energy Group Co. Ltd., Shandong University of Science and Technology, China University of Mining and Technology, and other institutions or enterprises. Patent technology mainly involves spray dust reduction, dust removal fans, dust masks, and other aspects with high patent value and innovation ability. This article provides a new perspective and reference for preventing, diagnosing, and treating occupational pneumoconiosis in the coal industry. |
| معلومات مُعتمدة: | 2022SJYB1130 Jiangsu Education Department of University Philosophy and Social Science Research Fund |
| فهرسة مساهمة: | Keywords: Derwent data analyzer (DDA software); Industry status; Patent analysis; Patent database; Pneumoconiosis Local Abstract: [Publisher, Chinese] 煤炭行业中职业性尘肺病是一种严重危害煤矿工人健康的职业病，早期诊断及预防技术对于控制其发病率和减轻其危害具有重要意义。本文以1985年至2021年我国公开的煤炭行业职业性尘肺病早期诊断及预防技术相关专利数据为研究对象，运用Derwent数据分析器（Derwent Data Analyzer，DDA）软件、壹专利数据库、智慧芽专利数据库等工具，从增长态势、主要专利权人、国际专利分类（International patent classification，IPC）布局、价值度和研发热点等方面分析了该领域的技术发展态势和特征。结果表明，该领域的专利申请量呈现快速增长的趋势，主要集中在山东能源集团有限公司、山东科技大学、中国矿业大学等机构或企业中专利技术主要涉及喷雾降尘、除尘风机、防尘口罩等方面，专利价值度和创新能力较高分值≥60分。本文为煤炭行业职业性尘肺病的预防、诊疗相关研究提供了一种新的视角和参考。. |
| المشرفين على المادة: | 0 (Dust) |
| تواريخ الأحداث: | Date Created: 20240109 Date Completed: 20240111 Latest Revision: 20240111 |
| رمز التحديث: | 20240111 |
| DOI: | 10.3760/cma.j.cn121094-20230106-00008 |
| PMID: | 38195234 |
| قاعدة البيانات: | MEDLINE |
| تدمد: | 1001-9391 |
|---|---|
| DOI: | 10.3760/cma.j.cn121094-20230106-00008 |