把运行经验变成可计算的智能Turning operating experience into computable intelligence
以数字孪生为核心，连接现场自动化系统与 AI 能力，为环保设施提供预测、优化与知识服务。With the digital twin at the core, we connect field automation with AI to deliver forecasting, optimisation and knowledge services.
实时数据 + 工艺模型 + 可视化Live data + process model + visualisation
业内常把“数字孪生”等同于 3D 大屏。我们的数字孪生由三部分组成：来自 SCADA 的实时数据、刻画工艺机理的数学模型、以及面向运行人员的可视化看板。三者缺一不可。A digital twin is often mistaken for a 3D screen. Ours combines three parts: live SCADA data, a mathematical model of the process, and an operator-facing dashboard. All three are essential.
- 基于融锦自主实施的 SCADA 系统，数据链路完整可控Built on SCADA systems we deliver ourselves, so the data chain is fully under control
- 工艺流程图、池段状态、趋势曲线在一个看板上呈现Process flow, tank states and trends in one view
- 以 Web 页面嵌入既有智慧运营平台，统一入口与权限Embedded as a web page in existing operations platforms with unified login
- 支持接入真实现场数据或仿真数据进行演示Can run on live plant data or simulated data for demonstration
示意画面，数据为仿真演示Illustrative view with simulated data
像天气预报一样，提前预判出水水质Forecast effluent quality the way meteorologists forecast weather
把污水处理的生化反应规律写成机理模型，输入现场实时数据，让计算机“替我们跑到几小时之后”。We encode the biological treatment process into a mechanistic model, feed it live data, and let the computer run a few hours ahead for us.
四类价值Four kinds of value
- 提前预判：出水波动出现前数小时给出趋势，争取处置时间Early warning: trends hours before effluent fluctuates
- 解释原因：判断问题出在硝化、反硝化碳源还是进水负荷Root cause: nitrification, carbon source or influent load
- 辅助决策：为曝气、回流、加药调整提供参考依据Decision support for aeration, recycle and dosing
- 知识沉淀：预测与历史数据持续积累为水厂数字资产Knowledge: results accumulate as a plant digital asset
系统定位为辅助研判工具，与现场监测和人工判断联动使用，不替代自动控制系统。The system supports operators' judgement alongside field monitoring; it does not replace the control system.
用 AI 找出能耗与药耗的优化空间Use AI to find savings in energy and chemicals
曝气与加药是水厂最主要的运行成本。结合实时运行数据、工艺模型和大模型分析能力，识别过度曝气、过量加药等问题，给出可验证的优化建议。Aeration and dosing dominate plant operating cost. Combining live data, process models and LLM analysis, we identify over-aeration and over-dosing and propose verifiable improvements.
- 能耗、药耗与水质指标的关联分析Correlating energy and chemical use with water quality
- 运行参数优化建议，经模型验证后再实施Parameter recommendations validated in the model before use
- 运行报告自动生成，便于管理层掌握情况Automatic operating reports for management
让老师傅的经验随时可问Senior operators' know-how, available on demand
把工艺规程、设备手册、历史故障处理记录和专家经验整理成知识库，由大模型提供问答。值班人员遇到异常时，可以像请教专家一样快速获得处置思路。We turn procedures, equipment manuals, incident records and expert experience into a knowledge base with an LLM front end, so shift staff can get guidance as if asking an expert.
- 本地化部署，资料不出厂Deployed on site, documents never leave the plant
- 回答附带出处，可追溯到原始规程Answers cite their sources in the original documents
- 与数字孪生联动，结合实时工况给出建议Linked to the digital twin for context-aware advice
为工业现场打造可靠的 AI 算力底座A reliable AI compute foundation for industrial sites
根据模型规模与业务负载完成 GPU 服务器选型、机柜部署、网络与安全配置，搭建大模型与仿真引擎的运行环境，并提供长期运维支持。We size GPU servers to the workload, handle rack installation, networking and security, set up runtimes for LLMs and simulation engines, and provide ongoing support.
- 服务器选型与部署方案Server sizing and deployment design
- 大模型本地化部署与调优On-premise LLM deployment and tuning
- 与 SCADA / 厂内网络的安全对接Secure integration with SCADA and plant networks