China established the Artificial Intelligence Application Working Committee of the China Refrigeration Society
Recently, the China Refrigeration Society was officially announcedArtificial Intelligence Application Working Committee, marking the deep integration of the refrigeration industry and artificial intelligence technology has entered a new stage. This measure aims to promote technological innovation in the refrigeration field, improve the industry's intelligence level, and respond to the country's strategic call on digital transformation. The following are related topics and structured data that have been hotly discussed across the Internet in the past 10 days.
1. Analysis of hot topics
In the past 10 days, the discussions on "artificial intelligence + refrigeration" across the network have mainly focused on the following directions:
| Topic keywords | Discussion Hot Index | Main Platforms |
|---|---|---|
| Intelligent refrigeration industry | 85 | Weibo, Zhihu |
| AI energy-saving technology | 78 | WeChat official account, B station |
| Cold chain logistics AI application | 72 | Headlines, TikTok |
| Smart home appliance trends | 68 | Xiaohongshu, Kuaishou |
2. Background and objectives of the committee establishment
The Artificial Intelligence Application Working Committee of the China Refrigeration Society is20 leading companiesand12 universities and research institutionsCo-initiated, the core goals include:
1. Develop an AI-based refrigeration system energy efficiency optimization algorithm
2. Establish an industry artificial intelligence application standard system
3. Cultivate "refrigeration + AI" compound talents
4. Promote the industrialization of intelligent refrigeration equipment
3. The first batch of key research projects
| Project name | Participating units | Expected results cycle |
|---|---|---|
| Cold chain storage AI temperature control system | Gree, Institute of Automation, Chinese Academy of Sciences | 2024Q3 |
| Compressor failure prediction based on machine learning | Midea, Tsinghua University | 2025Q1 |
| Building refrigeration load intelligent prediction platform | Haier, Tongji University | 2024Q4 |
4. Industry experts' opinions
Academician of the Chinese Academy of EngineeringWang JianguoSaid: "The energy consumption of the traditional refrigeration industry accounts for the entire society's electricity consumption15%Above, energy efficiency improvements by 10% through AI technology can be achieved, and carbon emissions can be reduced every year.80 million tons. ”
Vice President of Alibaba Cloud IntelligenceZhang QiIt is believed that: "The Internet of Things of refrigeration equipment will generate massive data, which provides an excellent scenario for AI model training and may give birth to a new industrial ecosystem."
5. International benchmarking situation
| Country/Organization | Related plans | Startup time |
|---|---|---|
| USA | ARPA-E Refrigeration AI Program | 2021 |
| EU | Horizon 2020 Cold Chain AI Project | 2019 |
| Japan | Super Smart Refrigeration Society 5.0 | 2022 |
6. Future development prospects
According to the Society, the focus will be on breakthroughs in the following areas in the next three years:
• DevelopmentRefrigeration system digital twin platform
• EstablishIndustry Knowledge GraphIncludes over 100,000 entities
• existMore than 5 citiesCarry out smart cold station demonstration
• Formation3-5 international patentsCore technology
The establishment of this committee will not only accelerate the technological change in the refrigeration industry, but also provide a new technological path for the realization of my country's "dual carbon" goal. With the gradual implementation of the project, it is expected to drive the growth of related industries by 2025.Over 20 billion yuan.
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