On February 9, Teamsun completed the integration of DeepSeek’s open-source large-model technology into the baseline version of its Smart Campus Solution. Through independent development and scenario optimization, Teamsun created a new generation of AI-driven smart campus capabilities. The integration marks progress in combining open-source technology with industry applications and is designed to improve campus management efficiency, service innovation and sustainable development at lower cost and with greater flexibility.

01

Technical independence

Open source large model drives Smart Campus intelligent upgrade

Smart Campus baseline technology architecture diagram

In the context of the accelerating open source trend of AI technology, Teamsun chose to use the DeepSeek open source large model as the technical base based on its in-depth understanding of the Smart Campus scenario, and built exclusive scenario-based AI capabilities through independent training and vertical domain optimization. The company's technical team focused on the pain points of park management and combined with the Huawei digital platform, completed the directional enhancement of the large model from general capabilities to industrial knowledge, and realized the value reconstruction of three core scenarios:

Cross-system semantic collaboration breaks down data silos

Relying on the multi-modal understanding and reasoning capabilities of the DeepSeek large model, combined with the connection services of the Huawei digital platform, the Teamsun Smart Campus platform realizes unified semantic analysis of subsystems such as energy, security, and equipment operation and maintenance. For example, administrators can use natural language instructions to "check the abnormal energy consumption area on the 3rd floor of Building A this week" to trigger cross-system linkage. The platform automatically correlates air conditioning, lighting, elevator and other equipment data to generate a visual analysis report, increasing decision-making response efficiency by 50%.

Dynamic resource scheduling to achieve green and low carbon

In traditional campuses, energy management and equipment operation and maintenance are highly dependent on manual experience. Teamsun combines the data services of the Huawei digital platform, and by integrating the timing prediction and optimization algorithms of the DeepSeek large model, the system can analyze weather, people flow, equipment status and other data in real time, and dynamically adjust the air conditioning temperature, lighting brightness and charging pile power. A pilot project in a manufacturing park showed that after accessing the AI model, monthly comprehensive energy consumption was reduced by 18%, and annual carbon emissions were reduced by more than 1,500 tons.

Natural interactive service to improve user experience

Operation center system diagram based on AI large model

In response to the needs of park employees and visitors, Teamsun developed applications such as intelligent voice assistants, AR tour guides, and personalized service recommendations based on open source models. Users can directly complete conference room reservations, visitor registration, repair applications and other operations through dialogue, and the service interaction time is shortened by 60%. At the same time, the system supports Chinese-English bilingual and dialect recognition, covering more than 90% of daily demand scenarios.

02

Ecological Innovation

Open source technology + industry Know-How two-wheel drive

Zhang Ying, Vice President of Teamsun, said that open-source large models provide accessible AI infrastructure, but their real value comes from deep integration with vertical scenarios. Based on the DeepSeek open-source framework and Huawei’s digital platform, Teamsun incorporated more than 200,000 items of campus management knowledge and developed lightweight deployment tools so that AI capabilities can quickly adapt to campuses of different sizes.

03

Industry Value

Open source ecology helps Smart Campus become universally beneficial

According to IDC predictions, China's Smart Campus software market will reach 48 billion yuan in 2025. However, small and medium-sized parks generally face challenges such as limited budgets and a lack of technical talents. This upgrade of Teamsun reduces AI deployment costs through open source technology, while providing standardized solutions and flexible functional module combinations, allowing park customers to "call on demand and gradually upgrade" according to needs. At the same time, in order to ensure technological independence, Teamsun has built a complete data security system based on the open source model. All park operation data are processed through locally deployed privacy computing modules, ensuring that the original data does not leave the domain. In addition, Teamsun has also established an AI decision-making traceability mechanism. Key instructions require secondary confirmation by the administrator, avoiding the risk of large model illusions.

In the future, Teamsun will uphold the spirit of open and win-win cooperation, join hands with more ecological partners, continue to deepen the use of the open source ecosystem, increase the in-depth integration and adaptation of Smart Campus and DeepSeek, provide more diverse and flexible application options for the integration of enterprise AI technology and specific scenarios, fully meet the needs of users, and promote the in-depth development of China’s digital and intelligent transformation.