环保工程 · 自动化 · 人工智能Environmental engineering · Automation · AI

让每一座环保设施
融入智能
Bringing intelligence
into every environmental plant

从 PLC / SCADA 控制系统,到数字孪生与 AI 预测优化,融锦为环保工程总包方提供一体化的智能控制解决方案。From PLC/SCADA control systems to digital twins and AI-driven optimisation, INTOINT delivers integrated intelligent control for environmental EPC contractors.

自动化控制Automation→数字孪生Digital Twin→AI 智能服务AI Services
我们的方法Our approach

从现场控制到智能决策,一条链路打通One chain from field control to intelligent decisions

数据从现场仪表和 PLC 中来,在数字孪生里被看见、被理解,再由 AI 转化为可执行的运行建议。Data flows from field instruments and PLCs, becomes visible and explainable in the digital twin, and is turned into actionable guidance by AI.

01

自动化控制Automation Control

采集数据 · 控制设备Collect data · Control equipment

PLC / SCADA 系统设计、电控柜成套、现场安装调试,覆盖水处理、烟气治理及非标自动化。PLC/SCADA design, control panel assembly and on-site commissioning for water treatment, flue-gas treatment and custom automation.

02

数字孪生Digital Twin

实时数据 + 工艺模型 + 可视化Live data + process model + visualisation

把现场工艺“搬进”电脑:不仅显示现在的状态,还能基于机理模型推演未来几小时的变化。A virtual replica of the process that shows not only the current state but also simulates the next few hours with a mechanistic model.

03

AI 智能服务AI Services

预测 · 优化 · 节能Predict · Optimise · Save energy

水质预测、大模型节能降耗分析、水厂专家技术库,让经验沉淀为可复用的数字资产。Water-quality forecasting, LLM-assisted energy optimisation and an expert knowledge base that turns operating experience into a digital asset.

算力底座:AI 服务器搭建Foundation: AI server deployment 本地化部署 GPU 服务器与大模型运行环境,数据不出厂,满足环保与工业项目的安全要求。On-premise GPU servers and model runtime, keeping plant data on site for industrial security requirements.
数字孪生Digital Twin

不只看“现在”,更能预判“接下来”See not just the present, but what comes next

水厂运行连续、环节相互耦合、变化存在滞后。仪表只能告诉你现在和过去,等出水报警时问题往往已经发生了几个小时。Treatment plants run continuously, processes are coupled, and responses lag. Instruments only tell you the present and the past; by the time an effluent alarm sounds, the problem started hours ago.

  • 实时数据:对接现场 PLC / SCADA,无需人工录入Live data from field PLC/SCADA, no manual entry
  • 机理模型:按生化反应规律建模,结果可解释、可追溯Mechanistic model of the biological process, explainable and traceable
  • 多时距预测:滚动输出未来 1h / 3h / 6h 出水水质趋势Multi-horizon forecast of effluent quality 1h / 3h / 6h ahead
  • 无缝嵌入:以 Web 看板形式接入水厂智慧运营平台Embeddable web dashboard for the plant's operations platform

了解数字孪生 About the digital twin

示意画面,数据为仿真演示Illustrative view with simulated data

为什么选择融锦Why INTOINT

懂工艺的自动化,落得了地的 AIAutomation that understands process, AI that runs on site

全链路交付End-to-end delivery

从电控柜到 AI 模型由同一团队负责,接口清晰、责任明确。One team from control panels to AI models, with clear interfaces and accountability.

机理模型驱动Model-driven

预测基于工艺机理而非黑箱拟合,能解释“为什么”。Forecasts grounded in process mechanisms, not black-box fitting, so they explain why.

本地化部署On-premise

系统与算力部署在厂内,数据不出厂,适配工业网络环境。Systems and compute stay inside the plant network; data never leaves site.

现场经验Field experience

长期深耕环保工程现场,熟悉总包项目的节奏与标准。Years on environmental project sites, fluent in EPC schedules and standards.

项目案例Projects

来自现场的交付Delivered in the field

全部案例 All projects
自动化控制 · 水处理Automation · Water

某超纯水项目超滤 / EDI 系统自动化控制UF / EDI control system for an ultrapure water project

自动化控制 · 水处理Automation · Water

某项目配电及 MCC 控制系统Power distribution & MCC control system

AI · 数字孪生AI · Digital Twin

上海某水厂全流程动态水质预测系统Plant-wide water quality forecast, Shanghai WWTP

让您的下一个环保项目更智能Make your next environmental project smarter

从控制系统设计到数字孪生与 AI 应用,欢迎来电沟通项目需求。From control-system design to digital twins and AI, talk to us about your project.

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