KaiwuDB Smart Mining Solution
Enables efficient collection, compressed storage, and millisecond-level query of multi-source time-series data. It supports cross-system data sharing and provides precise data support for mining safety monitoring, production scheduling, and predictive maintenance, empowering the digitalization of the mining industry.
Industry Pain Points
Weekness in Real-time Performance
Real-time monitoring and analysis of edge (underground) equipment status and coal mining status require high system performance. Key scenarios such as daily, weekly, monthly and quarterly pressure analysis and trend monitoring demand high-performance, millisecond-level data query and analysis.
Poor Usability
Complex data processing deployment model leads to high development and usage costs for technical personnel. A more efficient solution and architecture are needed to handle diverse data types including time-series and relational data.
Insufficient Data Mining and Analysis
Massive historical data remains underutilized. However, mining operations need to leverage historical data trends to enable predictive analysis in fully-mechanized mining scenarios, helping improve mine safety.
High Requirements for Cloud-Edge Collaboration
The system must support efficient, nearly real-time data synchronization and full retention of massive mining data in the edge-to-cloud architecture. Meanwhile, demands for synchronization efficiency and compressed data storage continue to rise.
Full Lifecycle Management Solution for Smart Mine Time-series Data
Leveraging KaiwuDB's high-performance multi-mode and cross-mode computing capabilities, flexible edge-to-cloud cluster deployment, and built-in stream computing features, a full-link data architecture encompassing "sensing - storage - analysis - decision-making" is established. This empowers smart mining operations with enhanced safety assurance and efficient scheduling.
KaiwuDB enables cross-model analysis of production and equipment data(time-series data) with business data(relational data). Based on conclusions regarding equipment utilization and energy efficiency relationships, the solution improves utilization rates, and extends equipment service life.
KaiwuDB supports edge-to-cloud and cluster deployment, flexibly adapting to energy storage system architectures. With sufficient measuring point capacity and data pub-sub, it synchronizes edge and central data, enables global storage and complex analysis, and supports cloud applications via APIs for unified data aggregation and management.
KaiwuDB provides time-slice, data-slice and window-slice functions to help users quickly build analysis models and make accurate decisions in production management, operation analysis, equipment maintenance and energy management.
KaiwuDB offers stream computing for real-time continuous queries in energy storage analysis. Combined with data pub-sub, APIs and BI reports, it visualizes data and supports full-scenario business monitoring.
Solution Value
Cost Reduction and Efficiency Improvement
KaiwuDB can be deployed on resource-constraint industrial edge computers. It keeps average memory usage below 50% and average CPU usage under 50%, reducing hardware costs by up to 80%.
Automated Data Analysis
It addresses key challenges in fully-mechanized coal mining, including slow querying of massive surface and underground data, unstable underground communication, and data interaction issues. The intelligent data analysis solution based on KaiwuDB enables automatic and efficient data synchronization across edge-to-cloud deployments.
Fault Detection and Diagnosis
For fault detection and diagnosis of electrical and hydraulic control systems, KaiwuDB enables high-speed analysis of real-time equipment status data. Combined with historical data analysis and efficient diagnostic technologies, the solution identifies and locates potential issues, provides early warnings, and comprehensively evaluates the safety status of the energy storage system.
Equipment Full Lifecycle Management
The fully-mechanized mining automation platform powered by KaiwuDB provides full perception of the working face, supporting the rapid construction of an intelligent management platform for fully-mechanized mining. It enables scientific management of personnel safety, production operations, and equipment full lifecycle management.
Intelligent Analysis for Decision-making
Through intelligent data reports, the solution supports decision-making across key links:Production decisions (fully-mechanized mining process control system, working face straightening measurement system, etc.).Operational decisions (fully-mechanized mining App, operation dashboard, etc.)