The Car Factory
Digital Energy Management Platform
Contact UsBusiness Background
Energy consumption accounts for a considerable proportion of operational costs in factory energy management. The factory faced three major dilemmas: strong reliance on energy consumption, high energy demand, and difficulty in unified energy management. Furthermore, to better respond to the national goal of carbon peaking and carbon neutrality, and establish a cost-effective, sustainable industrial ecosystem, higher requirements have been placed on data management capabilities.
Data Challenges
Major data challenges faced by traditional solutions in factory energy management
Difficulties in Massive Data Storage
Factories use a wide range of energy monitoring devices covering water, electricity, gas, and heating. Data must be retained for over 10 years, resulting in high difficulty and cost in statistics and storage.
Latency in Data Query
Real-time and aggregated energy consumption queries require millisecond-level response, which traditional databases cannot meet.
Lack of Multi-dimensional Analysis
Energy management involves electricity, gas, water and other dimensions. Simple analysis such as trend charts cannot support energy allocation or decision-making.
Inflexible Chart Visualization
Collected data can only be exported to Excel, which is time-consuming and difficult for secondary analysis or development, severely restricting business efficiency.
KaiwuDB Solution
Client Benefits
Efficient Data Write and Query
The platform supports efficient writing of 11 million daily records from nearly 30,000 monitoring points covering water, electricity, gas, heat, heating and equipment status. It also supports data aggregated query, downsampling query and other complex queries, and can return results for 20 million records in just 150ms.
Significantly Reduced Operational Costs
With over 10x data compression and hot-cold tiered storage, the platform greatly cuts storage expenses. It achieves 15%–20% energy savings, reducing annual costs by 1–1.4 million USD per year.
Multi-source Data Integration & Intelligent Analysis
The platform smoothly integrates energy, production and relational business data, enabling aggregated analysis of multi-model data. It supports diverse visual charts with a computing speed of over 800,000 records per second, accurately calculating energy costs and supporting decision-making.