{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,9]],"date-time":"2025-11-09T18:53:39Z","timestamp":1762714419005,"version":"build-2065373602"},"publisher-location":"Singapore","reference-count":30,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819525652"},{"type":"electronic","value":"9789819525669"}],"license":[{"start":{"date-parts":[[2025,11,10]],"date-time":"2025-11-10T00:00:00Z","timestamp":1762732800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,11,10]],"date-time":"2025-11-10T00:00:00Z","timestamp":1762732800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-981-95-2566-9_33","type":"book-chapter","created":{"date-parts":[[2025,11,9]],"date-time":"2025-11-09T18:47:29Z","timestamp":1762714049000},"page":"504-518","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Research on Industrial Big Data Display Systems Based on Grafana and ECharts"],"prefix":"10.1007","author":[{"given":"Zihao","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangyu","family":"Shen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xingkai","family":"Liao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feng","family":"Ye","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,11,10]]},"reference":[{"key":"33_CR1","doi-asserted-by":"publisher","first-page":"5977","DOI":"10.1007\/s12652-020-02521-x","volume":"14","author":"M Attaran","year":"2023","unstructured":"Attaran, M.: The impact of 5G on the evolution of intelligent automation and industry digitization. J. Ambient. Intell. Humaniz. Comput. 14, 5977\u20135993 (2023)","journal-title":"J. Ambient. Intell. Humaniz. Comput."},{"issue":"8","key":"33_CR2","doi-asserted-by":"publisher","first-page":"3876","DOI":"10.3390\/s23083876","volume":"23","author":"S Chen","year":"2023","unstructured":"Chen, S., et al.: Utilization of 5G technologies in IoT applications: current limitations by interference and network optimization difficulties\u2014a review. Sensors 23(8), 3876 (2023)","journal-title":"Sensors"},{"issue":"12","key":"33_CR3","first-page":"9381","volume":"8","author":"Q Li","year":"2021","unstructured":"Li, Q., et al.: 5G support for industrial IoT applications\u2014challenges, solutions, and research gaps. IEEE Internet Things J. 8(12), 9381\u20139400 (2021)","journal-title":"IEEE Internet Things J."},{"key":"33_CR4","unstructured":"Murray, S.: Interactive data visualization for the web: an introduction to designing with D3. 2nd ed. O\u2019Reilly Media (2017)"},{"key":"33_CR5","unstructured":"Corporation, M.: Power BI technical documentation. Microsoft Docs (2023)"},{"key":"33_CR6","unstructured":"Few, S.: Show Me the Numbers: Designing Tables and Graphs to Enlighten. Analytics Press (2012)"},{"key":"33_CR7","unstructured":"Kirk, A.: Data Visualisation: A Handbook for Data Driven Design. SAGE Publications (2016)"},{"issue":"4","key":"33_CR8","doi-asserted-by":"crossref","first-page":"2387","DOI":"10.1109\/TII.2019.2930685","volume":"16","author":"M Chen","year":"2020","unstructured":"Chen, M., et al.: Spatiotemporal correlation mining of multidimensional data in industrial systems. IEEE Trans. Industr. Inf. 16(4), 2387\u20132396 (2020)","journal-title":"IEEE Trans. Industr. Inf."},{"key":"33_CR9","first-page":"381","volume":"150","author":"Y Zhang","year":"2019","unstructured":"Zhang, Y., et al.: Heterogeneous data fusion challenges in industrial big data analytics. Comput. Commun. 150, 381\u2013395 (2019)","journal-title":"Comput. Commun."},{"key":"33_CR10","unstructured":"Wang, L., et al.: Real-time data processing and visualization systems for Industry 4.0: Challenges and solutions. J. Manuf. Syst. 58, 232\u2013245 (2021)"},{"key":"33_CR11","unstructured":"Carbone, P., et al.: Apache Flink: stream and batch processing in a single engine. Bull. IEEE Comput. Soc. Tech. Committee Data Eng. 38(4), 28\u201338 (2015)"},{"key":"33_CR12","unstructured":"Research, I.: Watson analytics for industrial safety monitoring: Technical specifications (2023)"},{"key":"33_CR13","doi-asserted-by":"crossref","unstructured":"Bostock, M., Ogievetsky, V., Heer, J.: D3 data-driven documents. IEEE Trans. Visual. Comput. Graph. 17(12), 2301\u20132309 (2011)","DOI":"10.1109\/TVCG.2011.185"},{"key":"33_CR14","unstructured":"Tech, F.: Finebi industrial solutions: Real-time monitoring and analysis. FanRuan White Paper (2022)"},{"key":"33_CR15","doi-asserted-by":"crossref","unstructured":"Munzner, T.: Visualization Analysis and Design. CRC Press (2014)","DOI":"10.1201\/b17511"},{"key":"33_CR16","unstructured":"Schwab, K.: The Fourth Industrial Revolution. World Economic Forum (2016)"},{"key":"33_CR17","unstructured":"Gupta, A., Sharma, R.: Leveraging power BI for enhanced data visualization and business intelligence. In: Proceedings of the 2023 International Conference on Business Intelligence and Analytics. pp. 112\u2013127. IEEE (2023)"},{"key":"33_CR18","unstructured":"White, T.: Hadoop: The Definitive Guide, 4th edn. O\u2019Reilly Media (2021)"},{"issue":"2","key":"33_CR19","doi-asserted-by":"publisher","first-page":"e157","DOI":"10.2196\/publichealth.5810","volume":"2","author":"RE Hoyt","year":"2016","unstructured":"Hoyt, R.E., et al.: IBM Watson analytics: automating visualization, descriptive, and predictive statistics. JMIR Public Health Surveill. 2(2), e157 (2016)","journal-title":"JMIR Public Health Surveill."},{"key":"33_CR20","unstructured":"Shaffer, J.: Data Visualization with Tableau. Packt Publishing (2019)"},{"key":"33_CR21","unstructured":"Wang, H., Li, M., Chen, X.: FineBI: enterprise business intelligence platform for real-time data analysis. In: Proceedings of the 2022 International Conference on Database Systems for Advanced Applications, pp. 456\u2013471. Springer (2022)"},{"key":"33_CR22","unstructured":"Zhang, R., Zhou, P., Liu, X.: A holistic framework for industrial data visualization in the era of digital twins. Journal of Industrial Information Integration 35, 100487 (2024)"},{"key":"33_CR23","unstructured":"Li, D., et al.: ECharts: a declarative framework for rapid construction of web-based visualizations. In: Proceedings of the 2018 IEEE Conference on Visual Analytics Science and Technology, pp. 59\u201368. IEEE (2018)"},{"key":"33_CR24","unstructured":"Zhou, P., Liu, X., Wu, Y.: Multisource data fusion techniques for industrial visualization. IEEE Transactions on Knowledge and Data Engineering 36(3), 1125\u20131138 (2023)"},{"key":"33_CR25","unstructured":"Han, J., Kamber, M., Pei, J.: Data Mining: Concepts and Techniques. 3rd ed. Morgan Kaufmann (2012)"},{"issue":"1","key":"33_CR26","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1145\/1327452.1327492","volume":"51","author":"J Dean","year":"2008","unstructured":"Dean, J., Ghemawat, S.: MapReduce: simplified data processing on large clusters. Commun. ACM 51(1), 107\u2013113 (2008)","journal-title":"Commun. ACM"},{"key":"33_CR27","doi-asserted-by":"crossref","unstructured":"Shvachko, K., et al.: The Hadoop distributed file system. In: Proceedings of the 26th IEEE Symposium on Mass Storage Systems and Technologies, pp. 1\u201310. IEEE (2010)","DOI":"10.1109\/MSST.2010.5496972"},{"issue":"11","key":"33_CR28","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1145\/2934664","volume":"59","author":"M Zaharia","year":"2016","unstructured":"Zaharia, M., et al.: Apache Spark: A unified engine for big data processing. Commun. ACM 59(11), 56\u201365 (2016)","journal-title":"Commun. ACM"},{"issue":"8","key":"33_CR29","first-page":"1891","volume":"33","author":"Y Liu","year":"2022","unstructured":"Liu, Y., et al.: Real-time data processing optimization in streaming systems: a comprehensive survey. IEEE Trans. Parallel Distrib. Syst. 33(8), 1891\u20131908 (2022)","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"33_CR30","first-page":"45","volume":"67","author":"S Kumar","year":"2021","unstructured":"Kumar, S., et al.: Comprehensive analysis capabilities in multi-source data fusion: methods and applications. Inf. Fusion 67, 45\u201362 (2021)","journal-title":"Inf. Fusion"}],"container-title":["Communications in Computer and Information Science","Data Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-2566-9_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,9]],"date-time":"2025-11-09T18:47:35Z","timestamp":1762714055000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-2566-9_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,10]]},"ISBN":["9789819525652","9789819525669"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-2566-9_33","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2025,11,10]]},"assertion":[{"value":"10 November 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPCSEE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference of Pioneering Computer Scientists, Engineers and Educators","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hiroshima","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 September 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpcsee2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2025.icpcsee.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}