Guangxi Jianhui Paper
InIoT platform powered by KaiwuDB
Contact UsBusiness Background
As a typical process manufacturing sector, the paper industry widely adopts automated production lines to improve production efficiency and quality stability.
However, extensive management of equipment and labor drives up costs, and fails to support real-time monitoring and precise control. The resource waste has become core bottleneck hindering enterprises’ digital and green transformation.
Data Challenges
In complex industrial sites with multiple scenarios and devices, traditional data architectures have become a major bottleneck restricting the digitalization of the paper industry
Difficulties in Multi-Source Data Collection
Jianhui Paper employs a wide range of equipment across its factories, including paper machines and rewinders, which are distributed across multiple plants and workshops, with a large number of data collection points. Traditional collection methods suffer from delays, data loss or duplications, failing to provide timely data support for production adjustments.
Severe Data Silos
Business systems and IT systems operate independently, forming prominent data silos. Inconsistent data standards and difficult historical data access prevent a full view of production, making it hard to identify high-energy and low-efficiency processes.
Insufficient Data Visualization
Production and management data lack an intuitive, unified visualization interface. Managers cannot quickly grasp energy consumption trends and key production indicators. Data application is limited to post-event statistics, only supporting basic tasks such as monthly output summarization.
High Risks in Security and Compliance
Production data contains sensitive information such as core process parameters and customer orders. Inadequate permission control and data backup mechanisms may easily lead to data leakage or loss.
KaiwuDB Solution
High-Performance Time-Series Data Processing
Multi-Model Data Integrated Management
Built-in AI Predictive Analytics
Client Benefits
Stable Collection of High-Frequency Data
Intelligent gateways enable round-the-clock collection of speed, temperature, sheet tension and other data from key equipment such as paper machines and dryer cylinders. The gateways support multi-serial communication, one-to-many collection, multi-network redundancy and breakpoint resumption, ensuring complete and lossless data acquisition and providing accurate, real-time data for production analysis.
Improved Equipment Monitoring & Warning Efficiency
KaiwuDB’s millisecond-level ingestion performance enables the system to collect real-time temperature, pressure, speed and other core parameters. With built-in anomaly detection algorithms, the system provides early warnings of potential equipment failures, effectively reducing unplanned downtime and ensuring stable, continuous production.
Lower Data Storage and Operations Costs
Compared with traditional relational databases, KaiwuDB uses columnar storage and high-efficiency compression to greatly reduce storage space. It also supports automatic data downsampling and expiration policies to automatically delete invalid historical data, cutting long-term storage costs, simplifying database operation workflows, and reducing management complexity.