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中控技术2025年半年报:工业AI与机器人业务亮眼 竞争壁垒夯实根基
8月29日晚,国内"工业智能化"领军企业中控技术(688777.SH)发布2025年上半年业绩报告。报告显 示,2025年上半年公司实现营收38.30亿元,实现归属于上市公司股东的净利润为3.54亿元。 公司成功中标印度尼西亚大型工业气体制造商SAMATOR、阿尔及利亚国家石油天然气公司等一批行业 龙头企业的标志性项目。同时,中控技术成功进入墨西哥国家石油(PEMEX)和西麦斯水泥 (CEMEX)等重要企业的供应商短名单,并与巴西国家石油(Petrobras)、书赞桉诺(Suzano)、康 克里格尔(Concregel)等多家行业领先企业合作达成关键里程碑,为未来全球市场的进一步拓展奠定 了良好基础。 值得一提的是,8月28日,中控技术正式发布全球首款基于时序混合专家大模型的工业Agent生成平台 TPT2,实现了对前代TPT的显著升级。据介绍,TPT2通过深度融合模拟、优化、控制、预测、评估与 统计等多类技术体系,能够全面适配流程工业各类生产装置及复杂工业场景。该平台支持通过一句自然 语言指令,快速生成针对性工业解决方案,并自动输出可执行的工业Agent与应用程序,显著提高了智 能应用的开发与落地效率。 同 ...
中控技术发布大模型TPT2,成立“工业AI数据联盟”
Di Yi Cai Jing· 2025-08-29 04:12
Core Insights - Zhongkong Technology has launched the TPT 2 time series model, which is based on the MoE (Mixture of Experts) framework, aimed at enhancing industrial intelligence [1] - The TPT 2 model enables closed-loop applications in various production processes through time series data algorithms, helping users ensure production safety and reduce energy and material consumption [1] - The platform shifts from a traditional "one scenario, one model" development approach to an efficient generation of intelligent agents applicable to various industrial setups through language interaction [1] Technology and Innovation - TPT 2 integrates multiple technological systems, advancing industrial applications from traditional tool-based assistants to intelligent agents capable of proactive anomaly detection, risk assessment, and autonomous decision-making [1] - The model replaces various industrial software functions such as simulation, control, optimization, prediction, evaluation, and statistics [1] Industry Collaboration - Zhongkong Technology has established the "Industrial AI Data Alliance" in collaboration with over 130 leading industry enterprises, design institutes, general contractors, and service providers [1] - The alliance aims to promote the scenario-based and large-scale application of industrial data, addressing industry challenges related to data immobility, underutilization, and insufficient collaboration [1]