Predictive Maintenance · Risk Management
XCMG Excavator needed a modern industrial data platform to support product innovation, intelligent services, refined management, and upstream-downstream ecosystem collaboration, because fast business growth made its existing data practices inadequate for digital and intelligent operations.
Reported impact
XCMG Excavator established a unified industrial data platform that supports fault prediction, risk warning, management analytics, and broader digital-intelligence upgrades across the company and its ecosystem.
Baidu AI Cloud built XCMG Excavator's big-data foundation on the Tiansuan platform with a broad product set that spans ingestion, lakehouse-style management, warehousing, visualization, and analytics. EasyDAP provides the central all-in-one data-lake management and analysis layer, covering data integration, governance, development, analysis, and data services in one environment. BMR adds the managed big-data runtime with strong compatibility and operations support, while Sugar BI handles agile visual analysis and dashboards. PALO contributes a real-time MPP data warehouse and Pingo adds a batch-and-stream data factory so the platform can support both periodic and near-real-time industrial analytics. The implementation also included data standards, data aggregation, data development and analysis workflows, multidimensional MPP analysis, visualization reporting, and data-mining applications, all organized in a spiral build-out of data marts for finance, investment, risk control, and wider industrial use cases.
Industrial data from XCMG operations is aggregated and standardized on Tiansuan, integrated and governed through EasyDAP and BMR, stored and analyzed in PALO, processed in batch and stream through Pingo, and then exposed through Sugar BI and downstream data-mining applications for business analysis and risk-warning use cases.
EasyDAP can complete data integration, governance, development, analysis, and data services in one stop, while BMR, Sugar BI, PALO, and Pingo each support the platform's broader architecture. (original: EasyDAP，可一站式完成数据集成、数据治理、数据开发、数据分析、数据服务...托管大数据平台BMR...可视化分析及大屏Sugar BI...MPP实时数据仓库PALO、 批&流一体的数据工厂Pingo。)
The data platform was designed to improve XCMG's capabilities in data collection, storage management, processing, and application across business innovation. (original: 大数据平台的建成将全方位提高徐工挖机在数据采集、数据存储管理、数据处理和数据应用方面的能力，并服务于业务发展及创新。)
The implementation plan included data standards, data aggregation, data development and analysis, MPP warehouse analytics, reporting, and data-mining applications. (original: 方案包含数据规范制定、数据汇聚、数据开发分析处理、MPP数仓多维分析、数据可视化报表系统和数据挖掘应用等多维度。)
The platform supports finance, investment, and risk-control data applications through spiral construction of related data marts. (original: 依据业务需求，方案将螺旋式建设相关数据集市，支持财务、投资、风控等业务数据应用需求。)
Tiansuan helped XCMG efficiently build its big-data platform, enabling unified data management plus fault prediction, risk warning, and control analysis applications. (original: 徐州徐工挖掘机械有限公司基于百度智能云“天算”，高效构建徐工挖机大数据平台，实现数据统一管理及故障预测、风险预警和控制等业务类分析应用。)
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