Good news | KingSi joins the 2022 Shanghai Technology Innovation Fund Plan for Technology-based Small and Medium Enterprises

30 Sep,2022

On September 29, 2022, the Shanghai Municipal Science and Technology Commission announced the 2022 Shanghai Science and Technology SME Technology Innovation Fund Project. "5G deep energy-saving AI system based on KingSi intelligent solid-state circuit breaker" is included in the 2022 Shanghai Science and Technology SME Technology Innovation Fund Project List.

 

 

With the advent of the 5G era, the development of device connections to massive connections has gradually accelerated, continuously promoting the explosive growth of mobile data traffic. In order to meet the needs of future 5G services and data traffic, 5G needs to use more spectrum resources and larger system bandwidth. The number has doubled, and the introduction of Massive Multiple Input Multiple Output (Massive MIMO) technology has greatly increased 5G energy consumption. Considering equipment energy consumption and base station coverage, 5G power consumption is expected to be 4G. more than 9 times. Based on this estimate, it is expected that the next five years will significantly increase from the current 27 billion kWh/year to 250 billion kWh/year (about 3% of the total electricity consumption of the whole society). Therefore, energy saving and consumption reduction have become the top priority of the communication industry. heavy. "5G deep energy-saving AI system based on Jingsil intelligent solid-state circuit breaker" also came into being in this context.

 

 

In the energy consumption of the base station, the power consumption of the main equipment accounts for more than 50% of the power consumption of the base station, and the Active Antenna Unit (AAU) accounts for 80% of the power consumption of the main equipment, so the energy-saving technology is mainly for the AAU part . Currently, device-level and site-level energy saving and consumption reduction can be achieved through low-power hardware, symbol shutdown, and deep sleep technologies. However, the existing general models used in traditional base station energy-saving technologies mainly rely on simple models or manually set thresholds to decide whether to switch on or off. , the energy saving effect is limited. All parameters are uniformly set by the base station, which cannot well adapt to today's complex and changeable environment, and cannot solve the problem of independent selectivity of energy-saving strategies of each base station in different environments, and it is difficult to achieve a balance between user experience and energy-saving effect. Artificial Intelligence (AI) technology can make base station energy-saving technology more intelligent. Through the calculation of AI model, under the premise of ensuring user experience, the optimal solution for base station energy-saving can be found, so as to achieve the highest operating efficiency of the entire network. The energy-saving target with the best comprehensive energy-saving efficiency. Therefore, the trend of AI intelligent energy-saving technology is unstoppable. On the other hand, in order to achieve and maximize AI energy-saving effects, intelligent hardware that can sense measurement, edge computing, and multi-dimensional energy saving is also essential.

 

 

The 5G deep energy-saving AI system developed by KingSi Intelligent is based on self-developed new intelligent solid-state circuit breaker hardware and AI software energy-saving technology. , improve the energy efficiency of 5G wireless network, reduce 5G network operation cost, and escort 5G network deployment and intelligent operation and maintenance. In this new study of solid-state hardware combined with AI software, the new software enables the 1s and 0s of algorithms, firmware, software, embedded machine learning and artificial intelligence to be more fully utilized in applications, and the solid-state architecture enables this The breakthrough was fully realized. This combined architecture enables software intelligence to be embedded directly into electrical products in the electrical infrastructure, enabling efficient, safe and intelligent digital power distribution and energy savings.