KaiwuDB Digital Energy Solution

Digital energy means the combination of IoT technologies and traditional energy industry. With modern technologies, the whole link of energy "generation-transmission-distribution-storage-use" becomes interconnective, digitalized, and intelligently collaborated. Under the background of Digital Economy and Double-Carbon Policy, China is vigorously promoting the integrated development of energy industry with Internet technologies, as well as intelligent technologies. The digital transformation task that the energy industry faces is extremely hard, where the data is multi-model, requires high processing speed, and usually at a low level of value realization.

1. Traditional databases are weak in data collection.

Digital energy systems collect massive real-time data from a large amount of equipment in production, transmission and energy-consumption management. This data includes energy output, load, temperature, humidity, wind speed and more.

2. Long-term data storage is expensive.

Digital energy systems need to store massive time-series data for the long term. Reducing storage costs is a need.

3. Traditional databases are weak in efficient analysis.

Digital energy systems require real-time calculation and aggregated analysis of a large amount of time-series data. Traditional databases cannot fulfill the tasks in computing speed, high accuracy, and reliable results.

4. Requirements for data quality and service availability are high.

Digital energy systems need to apply the time-series data to energy production, load forecasting, scheduling optimization, demand response, electricity market transactions and other processes, asking for higher data quality and service availability.

KaiwuDB supports aggregated processing of time-series data such as sensor data, production status, and machine operation status with relational data such as personnel information, equipment information, and business data. At the same time, KaiwuDB supports cross-model data computing and interactive queries, as well as cloud-edge-ternimal synchronization. It provides adaptable architecture for scenarios such as distributed energy storage, and offers multiple deployment plans for low-end energy industrial control computers, IoT gateways, and cloud server. Meanwhile, KaiwuDB supports cloud-edge-terminal data synchronization, pub-sub, and cluster management. Combined with data service capabilities of KaiwuDB Data Platform, it enables integrated management of energy data, high data quality and high service availability.