feat: 完成能源订单班图片重命名和文档整理
详细说明: - 能源订单班: 重命名7个图片文件为描述性中文名称 - 能源订单班: 更新markdown文档中的所有图片引用 - 智能开发订单班: 优化图片命名结构 - 化工订单班: 整理图片资源 - 新增SuperDesign食品订单班设计迭代文件 - 新增能源订单班终端模拟数据(energy.ts) - 清理web_frontend冗余文档 图片重命名映射: - Whisk_1ebf7115ee180218c354deb8bff7f3eddr.jpg → 光伏面板室外场景图片.jpg - Whisk_582dc133200b175859e4b322295fb3d1dr.jpg → 光伏面板生成画面.jpg - image.jpg → PLC示意图.jpg - Whisk_b35aa11c60670e38bea44dcd9fe7df5fdr.jpg → 工业机器人图片.jpg - Whisk_028f4b832e3496db8814cd48f050ec03dr.jpg → 机器视觉相机图片.jpg - Whisk_eb381c66f5156a4a74f49102095ae534dr.jpg → 输送与治具.jpg - Mermaid_Chart[...].jpg → Mermaid流程图.jpg 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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import { Agent } from '@/store/demoStore';
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import { SimulationData } from './index';
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// 能源订单班专属Agent配置
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const energyAgents: Agent[] = [
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{
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id: 'energy_plc_engineer',
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name: 'PLC工程师',
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icon: '⚙️',
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avatar: '/data/订单班文档资料/能源/agent头像/PLC工程师.jpg',
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model: 'GPT-4',
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role: '系统控制逻辑设计',
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status: 'waiting',
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},
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{
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id: 'energy_vision_engineer',
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name: '机器视觉识别工程师',
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icon: '📷',
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avatar: '/data/订单班文档资料/能源/agent头像/机器视觉识别工程师.jpeg',
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model: 'GPT-4',
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role: 'AOI缺陷检测',
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status: 'waiting',
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},
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{
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id: 'energy_vision_technician',
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name: '机器视觉识别技术员',
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icon: '🔍',
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avatar: '/data/订单班文档资料/能源/agent头像/机器视觉识别技术员.jpeg',
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model: 'GPT-4',
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role: '视觉系统调试',
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status: 'waiting',
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},
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{
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id: 'energy_robot_engineer',
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name: '机器人调试工程师',
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icon: '🤖',
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avatar: '/data/订单班文档资料/能源/agent头像/机器人调试工程师.jpg',
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model: 'GPT-4',
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role: '机器人分拣协同',
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status: 'waiting',
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},
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];
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export const energySimulation = (): SimulationData => ({
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orderClassId: 'energy',
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orderClassName: '能源',
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projectTitle: '光伏晶硅电池片AOI检测与分拣单元',
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agents: energyAgents,
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startupSequence: [
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{ type: 'info', content: '🚀 启动光伏AOI检测与智能分拣系统...' },
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{ type: 'system', content: '初始化工业自动化多Agent协作框架' },
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{ type: 'success', content: '✓ 系统核心加载完成' },
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{ type: 'system', content: '加载专业知识库: PLC控制/机器视觉/工业机器人/质量追溯' },
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{ type: 'progress', content: '████████████████████ 100%', duration: 1500 },
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{ type: 'success', content: '✓ 知识库加载完成' },
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{ type: 'info', content: '连接工业设备通讯...' },
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{ type: 'system', content: '├─ Siemens S7-1500 PLC (Profinet)' },
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{ type: 'system', content: '├─ Cognex In-Sight D900 视觉系统' },
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{ type: 'system', content: '├─ ABB IRB 1200 六轴机器人' },
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{ type: 'system', content: '└─ MES系统 (OPC UA)' },
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{ type: 'success', content: '✓ 设备通讯连接成功' },
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{ type: 'warning', content: '⚡ 检测到生产需求: PERC/TopCon单晶硅电池片质检' },
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{ type: 'info', content: '核心特点: 丝印后AOI缺陷检测，智能分拣，全程追溯' },
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{ type: 'info', content: '技术指标: 节拍≥3600片/h，漏检≤0.3%，误检≤0.5%' },
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{ type: 'info', content: '正在分配4位专业Agent...' },
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],
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agentSequence: [
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// Agent 1: PLC工程师
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{
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agent: () => energyAgents[0],
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outputs: [
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{ type: 'system', content: '⚙️ PLC工程师 正在设计系统控制逻辑...' },
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{ type: 'info', content: '基于Siemens S7-1500设计主控系统架构' },
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{ type: 'progress', content: '分析中...', duration: 1000 },
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{ type: 'success', content: '✓ 硬件平台: Siemens SIMATIC S7-1500 (CPU 1512C-1 PN)' },
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{ type: 'success', content: '✓ 通讯协议: Profinet（设备层）+ OPC UA（MES层）' },
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{ type: 'success', content: '✓ 开发环境: TIA Portal V1x，梯形图+FBD编程' },
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{ type: 'info', content: '' },
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{
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type: 'image',
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content: '⚙️ PLC控制系统架构',
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imageSrc: '/data/订单班文档资料/能源/notion文稿/image/PLC示意图.jpg',
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imageAlt: 'Siemens S7-1500 PLC控制系统'
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},
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{ type: 'info', content: '' },
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{ type: 'info', content: '核心控制逻辑设计:' },
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{ type: 'output', content: ' 1. 启停与安全联锁' },
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{ type: 'output', content: ' • 启动按钮SB1 + 停止SB2 + 急停ES + 安全门GS' },
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{ type: 'output', content: ' • 过载保护FR + 负压检测VS → 运行允许RUN_EN' },
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{ type: 'output', content: ' • 异常触发：立即断电 + 撤销握手 + 三色灯报警' },
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{ type: 'output', content: ' 2. 来料检测与高精定位' },
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{ type: 'output', content: ' • PE1入口光电 → 输送至定位工位 → PE2到位信号' },
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{ type: 'output', content: ' • 伺服对中机构精度±0.1mm + 真空定位台锁定' },
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{ type: 'output', content: ' 3. 相机握手与结果锁存' },
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{ type: 'output', content: ' • Cam_Trig上升沿触发 → 300ms超时保护' },
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{ type: 'output', content: ' • R2..R0三位二进制码：000=OK, 001=RW, 010=NG, 111=UNCERTAIN' },
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{ type: 'output', content: ' 4. 机器人协同分拣' },
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{ type: 'output', content: ' • PartReady就位 + RobotReady响应 → StartAllow启动' },
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{ type: 'output', content: ' • PickDone完成脉冲 → 清握手信号 → 续行输送' },
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{ type: 'output', content: ' 5. 追溯数据上报' },
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{ type: 'output', content: ' • 批次号+片ID+检测分值+缺陷图像 → OPC UA上传MES' },
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{ type: 'output', content: ' • 网络异常→本地RingBuffer缓存≥5000片 + 定时补发' },
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{ type: 'output', content: ' 6. 异常处理与降级' },
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{ type: 'output', content: ' • 相机超时→人工复判模式（所有片送复判仓）' },
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{ type: 'output', content: ' • 机器人故障→RobotFault报警 + 停机' },
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{ type: 'info', content: '' },
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{ type: 'info', content: 'I/O配置分配:' },
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{ type: 'output', content: ' 输入: SB1/SB2/ES/GS/FR/VS(安全链) + PE1/PE2(定位) + Cam信号 + Robot信号' },
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{ type: 'output', content: ' 输出: KM1(输送) + SV1/SV2(夹具) + Cam_Trig + StartAllow/PartReady + 三色灯/蜂鸣' },
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{ type: 'info', content: '' },
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{ type: 'success', content: '✓ PLC控制逻辑架构设计完成，支持3600片/h节拍' },
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]
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},
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// Agent 2: 机器视觉识别工程师
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{
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agent: () => energyAgents[1],
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outputs: [
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{ type: 'system', content: '📷 机器视觉识别工程师 正在设计AOI缺陷检测系统...' },
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{ type: 'info', content: '基于Cognex In-Sight D900深度学习相机设计视觉方案' },
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{ type: 'progress', content: '方案设计中...', duration: 1200 },
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{ type: 'success', content: '✓ 相机平台: Cognex In-Sight D900深度学习系列' },
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{ type: 'success', content: '✓ 镜头配置: 25-35mm远心镜头（抑制边缘畸变）' },
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{ type: 'success', content: '✓ 光源方案: 矩形漫射顶光 + 同轴光（交叉偏振抑制反射）' },
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{ type: 'success', content: '✓ 触发模式: PLC硬件触发（Cam_Trig上升沿）' },
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{ type: 'success', content: '✓ 结果回传: Profinet I/O（实时R2..R0）+ TCP（缺陷掩膜）' },
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{ type: 'info', content: '' },
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{
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type: 'image',
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content: '📷 Cognex In-Sight D900视觉系统',
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imageSrc: '/data/订单班文档资料/能源/notion文稿/image/机器视觉相机图片.jpg',
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imageAlt: 'Cognex深度学习视觉相机'
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},
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{ type: 'info', content: '' },
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{ type: 'info', content: 'AOI检测分级逻辑（深度学习ViDi模型）:' },
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{ type: 'output', content: ' • 严重缺陷（NG）：断栅、漏印、连锡 → 报废' },
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{ type: 'output', content: ' • 轻微缺陷（RW）：拖浆、脏污、刮伤、崩边 → 复判' },
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{ type: 'output', content: ' • 无缺陷（OK）：外观合格 → 良品' },
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{ type: 'output', content: ' • 不确定（UNCERTAIN）：模型无法明确判断 → 人工审核' },
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{ type: 'info', content: '' },
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{ type: 'info', content: '成像质量指标:' },
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{ type: 'output', content: ' • 灰度分布: 银浆均值180±10，硅基底40±5' },
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{ type: 'output', content: ' • 景深控制: F/#≥8，工作距离倾角<0.1°' },
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{ type: 'output', content: ' • 清晰度: MTF@10lp/mm对比度≥0.3' },
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{ type: 'output', content: ' • 运动冻结: 外触发频闪100-200µs，抖动<1ms' },
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{ type: 'info', content: '' },
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{ type: 'info', content: '深度学习模型训练策略:' },
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{ type: 'output', content: ' • 数据集: OK≥5000样本，每类缺陷≥2000样本' },
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{ type: 'output', content: ' • 划分: 训练/验证/测试 = 6:2:2' },
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{ type: 'output', content: ' • 增强: 旋转±5°、亮度±10%、高斯噪声σ≤3' },
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{ type: 'output', content: ' • 调参目标: NG召回率≥99.5%，漏检≤0.3%，OK误检≤0.5%' },
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{ type: 'info', content: '' },
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{ type: 'info', content: '推理性能预算（≤300ms总时长）:' },
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{ type: 'output', content: ' • 采集: 10ms + 预处理: 20ms' },
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{ type: 'output', content: ' • 推理: ≤180ms + 结果打包: 20ms' },
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{ type: 'output', content: ' • 下发: 20ms → Cam_Done置位' },
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{ type: 'info', content: '' },
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{
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type: 'image',
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content: '🔬 光伏电池片检测应用场景',
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imageSrc: '/data/订单班文档资料/能源/notion文稿/image/光伏面板生成画面.jpg',
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imageAlt: '光伏电池片AOI检测应用'
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},
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{ type: 'info', content: '' },
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{ type: 'success', content: '✓ AOI视觉检测系统设计完成，满足≤300ms检测时长要求' },
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]
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},
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// Agent 3: 机器视觉识别技术员
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{
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agent: () => energyAgents[2],
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outputs: [
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{ type: 'system', content: '🔍 机器视觉识别技术员 正在执行系统调试与验收...' },
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{ type: 'info', content: '对视觉系统进行光学标定、模型优化和性能验证' },
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{ type: 'progress', content: '调试中...', duration: 1000 },
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{ type: 'info', content: '' },
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{ type: 'info', content: '1. 光学与成像调试:' },
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{ type: 'output', content: ' ✓ 光源优化: 同轴光+漫射顶光，交叉偏振角≈90°' },
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{ type: 'output', content: ' ✓ 曝光调整: 银浆灰度180±10，硅基底40±5' },
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{ type: 'output', content: ' ✓ 景深验证: F/#=8，工作距离稳定，倾角<0.1°' },
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{ type: 'output', content: ' ✓ 运动冻结: 频闪脉宽150µs，触发抖动<1ms' },
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{ type: 'info', content: '' },
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{ type: 'info', content: '2. 标定与几何校正:' },
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{ type: 'output', content: ' ✓ 内参标定: 棋盘格校正焦距、主点、畸变系数' },
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{ type: 'output', content: ' ✓ 外参标定: 手眼标定重投影误差<0.3mm' },
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{ type: 'output', content: ' ✓ 像素映射: px2mm比例+透视矫正矩阵 → 存档备份' },
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{ type: 'info', content: '' },
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{ type: 'info', content: '3. 深度学习模型优化:' },
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{ type: 'output', content: ' ✓ 类别设计: OK/RW/NG/UNCERTAIN四层级' },
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{ type: 'output', content: ' ✓ 缺陷子类: 断栅、漏印、连锡、拖浆、脏污、划伤、崩边（7类）' },
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{ type: 'output', content: ' ✓ 数据增强: 几何+光照扰动（保持缺陷语义）' },
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{ type: 'output', content: ' ✓ 阈值调参: NG召回99.5%、漏检0.3%、OK误检0.5%' },
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{ type: 'info', content: '' },
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{ type: 'info', content: '4. 缺陷库与标注规范:' },
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{ type: 'output', content: ' ✓ 断栅/漏印: 连通域断开长度≥栅线节距40%' },
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{ type: 'output', content: ' ✓ 拖浆: 扩散宽度≥0.1mm' },
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{ type: 'output', content: ' ✓ 崩边: 缺口深度≥0.15mm' },
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{ type: 'output', content: ' ✓ 标注一致性: Cohen\'s kappa≥0.8，双人互审+仲裁' },
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{ type: 'info', content: '' },
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{ type: 'info', content: '5. 与PLC/机器人联调:' },
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{ type: 'output', content: ' ✓ 时序测量: Cam_Trig→Cam_Done P95≤220ms，P99≤280ms' },
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{ type: 'output', content: ' ✓ 握手验证: 300ms窗口内PLC锁存R2..R0结果' },
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{ type: 'output', content: ' ✓ 节拍优化: Ping-Pong双工位，解耦相机处理与机械节拍' },
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{ type: 'info', content: '' },
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{ type: 'info', content: '6. 性能验收（10000片连续生产测试）:' },
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{ type: 'output', content: ' ✓ 漏检率: 0.28%（目标≤0.3%）✓' },
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{ type: 'output', content: ' ✓ 误检率: 0.47%（目标≤0.5%）✓' },
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{ type: 'output', content: ' ✓ UNCERTAIN: 0.9%（目标≤1%）✓' },
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{ type: 'output', content: ' ✓ 帧丢失率: 0%，相机温升: 12℃' },
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{ type: 'output', content: ' ✓ Gage R&R（重复性/再现性）: 8.5%（≤10%）✓' },
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{ type: 'info', content: '' },
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{ type: 'success', content: '✓ 视觉系统调试完成，性能指标全部达标' },
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]
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},
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// Agent 4: 机器人调试工程师
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{
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agent: () => energyAgents[3],
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outputs: [
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{ type: 'system', content: '🤖 机器人调试工程师 正在配置智能分拣系统...' },
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{ type: 'info', content: '基于ABB IRB 1200-7/0.7六轴机器人设计分拣方案' },
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{ type: 'progress', content: '配置中...', duration: 1000 },
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{ type: 'success', content: '✓ 机器人平台: ABB IRB 1200-7/0.7（重复精度±0.02mm）' },
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{ type: 'success', content: '✓ 控制柜: OmniCore C30' },
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{ type: 'success', content: '✓ 末端执行器: 真空吸具（可调负压）' },
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{ type: 'success', content: '✓ 通讯接口: Profinet Device（与PLC握手）' },
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{ type: 'success', content: '✓ 编程语言: RAPID（ABB专用）' },
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{ type: 'info', content: '' },
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{
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type: 'image',
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content: '🤖 ABB IRB 1200六轴机器人',
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imageSrc: '/data/订单班文档资料/能源/notion文稿/image/工业机器人图片.jpg',
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imageAlt: 'ABB IRB 1200工业机器人'
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},
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{ type: 'info', content: '' },
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{ type: 'info', content: 'I/O信号映射:' },
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{ type: 'output', content: ' 输入: diStartAllow←Q0.4，diPartReady←Q0.5，diPLC_Reset←Q0.6' },
|
||||
{ type: 'output', content: ' diR0/R1/R2←检测结果位（000=OK, 001=RW, 010=NG）' },
|
||||
{ type: 'output', content: ' 输出: doRobotReady→I1.5，doPickDone→I1.6，doRobotFault→I1.7' },
|
||||
{ type: 'output', content: ' doVacOn/Off→末端真空控制' },
|
||||
{ type: 'info', content: '' },
|
||||
{ type: 'info', content: '分拣路径规划:' },
|
||||
{ type: 'output', content: ' pHome: [0,0,500] → 安全待命位' },
|
||||
{ type: 'output', content: ' pPick: [250,0,80] → 定位台取片位' },
|
||||
{ type: 'output', content: ' pOK: [600,200,120] → 良品料盘（OK分拣）' },
|
||||
{ type: 'output', content: ' pRW: [600,0,120] → 复判料盘（RW复判）' },
|
||||
{ type: 'output', content: ' pNG: [600,-200,120] → 报废料箱（NG淘汰）' },
|
||||
{ type: 'info', content: '' },
|
||||
{ type: 'info', content: 'RAPID程序逻辑:' },
|
||||
{ type: 'output', content: ' 1. 初始化: SetDO doRobotReady,1（就绪信号）' },
|
||||
{ type: 'output', content: ' 2. 等待: WaitUntil diStartAllow=1 AND diPartReady=1' },
|
||||
{ type: 'output', content: ' 3. 取片: MoveJ pPick → SetDO doVacOn,1（吸附0.10s）' },
|
||||
{ type: 'output', content: ' 4. 读结果: result = diR2*4 + diR1*2 + diR0*1' },
|
||||
{ type: 'output', content: ' 5. 分拣: SELECT result → 000:pOK, 001:pRW, 010:pNG' },
|
||||
{ type: 'output', content: ' 6. 放件: SetDO doVacOn,0（释放0.05s）' },
|
||||
{ type: 'output', content: ' 7. 完成: PulseDO doPickDone,0.20（完成脉冲→PLC续行）' },
|
||||
{ type: 'output', content: ' 8. 异常: TRAP TrapFault → SetDO doRobotFault,1' },
|
||||
{ type: 'info', content: '' },
|
||||
{ type: 'info', content: '时序协同要点:' },
|
||||
{ type: 'output', content: ' • PLC在RobotReady=1 & PartReady=1 & StartAllow=1时允许取片' },
|
||||
{ type: 'output', content: ' • doPickDone脉冲→PLC清PartReady/StartAllow并续行下一片' },
|
||||
{ type: 'output', content: ' • 报警时doRobotFault=1，PLC紧急停机' },
|
||||
{ type: 'output', content: ' • PLC复位脉冲→机器人ResetErrors后恢复运行' },
|
||||
{ type: 'info', content: '' },
|
||||
{
|
||||
type: 'image',
|
||||
content: '🔧 输送与治具系统',
|
||||
imageSrc: '/data/订单班文档资料/能源/notion文稿/image/输送与治具.jpg',
|
||||
imageAlt: '边夹式输送线与伺服对中治具'
|
||||
},
|
||||
{ type: 'info', content: '' },
|
||||
{ type: 'info', content: '系统集成测试（3600片/h节拍验证）:' },
|
||||
{ type: 'output', content: ' ✓ 单片循环时间: 0.98s（≤1.0s目标）' },
|
||||
{ type: 'output', content: ' ✓ 取片成功率: 99.97%（3次吸取失败/10000片）' },
|
||||
{ type: 'output', content: ' ✓ 分拣准确率: 100%（R2..R0解析无误）' },
|
||||
{ type: 'output', content: ' ✓ 握手响应: StartAllow→PickDone平均1.2s' },
|
||||
{ type: 'output', content: ' ✓ 异常恢复: PLC_Reset脉冲清除故障<2s' },
|
||||
{ type: 'info', content: '' },
|
||||
{ type: 'success', content: '✓ 机器人分拣系统集成完成，节拍性能达标' },
|
||||
]
|
||||
},
|
||||
],
|
||||
|
||||
completionSequence: [
|
||||
{ type: 'system', content: '=' .repeat(70) },
|
||||
{ type: 'success', content: '🎉 光伏晶硅电池片AOI检测与分拣单元 生成完成！' },
|
||||
{ type: 'system', content: '=' .repeat(70) },
|
||||
{ type: 'info', content: '' },
|
||||
{ type: 'info', content: '🎯 核心技术优势:' },
|
||||
{ type: 'success', content: '✓ PLC主控: Siemens S7-1500高可靠架构，安全联锁+降级模式' },
|
||||
{ type: 'success', content: '✓ 深度学习AOI: Cognex In-Sight D900，漏检≤0.3%，误检≤0.5%' },
|
||||
{ type: 'success', content: '✓ 智能分拣: ABB IRB 1200六轴协同，±0.02mm重复精度' },
|
||||
{ type: 'success', content: '✓ 全程追溯: OPC UA实时上报MES，本地缓存≥5000片' },
|
||||
{ type: 'success', content: '✓ 节拍性能: 3600片/小时，单片循环<1.0s' },
|
||||
{ type: 'info', content: '' },
|
||||
{ type: 'info', content: '📊 性能指标验收:' },
|
||||
{ type: 'success', content: '✓ 检测准确率: 漏检0.28%，误检0.47%，UNCERTAIN 0.9%' },
|
||||
{ type: 'success', content: '✓ 分拣成功率: 99.97%（取片失败率0.03%）' },
|
||||
{ type: 'success', content: '✓ 推理时延: P95≤220ms，P99≤280ms（≤300ms目标）' },
|
||||
{ type: 'success', content: '✓ 系统可靠性: 24h老化测试0帧丢失，温升<15℃' },
|
||||
{ type: 'info', content: '' },
|
||||
{
|
||||
type: 'image',
|
||||
content: '🌞 光伏产业应用场景',
|
||||
imageSrc: '/data/订单班文档资料/能源/notion文稿/image/光伏面板室外场景图片.jpg',
|
||||
imageAlt: '光伏电池片产线应用'
|
||||
},
|
||||
{ type: 'info', content: '' },
|
||||
{ type: 'info', content: '🔧 系统集成架构:' },
|
||||
{ type: 'output', content: ' • 控制层: S7-1500 PLC（梯形图+FBD）' },
|
||||
{ type: 'output', content: ' • 视觉层: Cognex D900（ViDi深度学习模型）' },
|
||||
{ type: 'output', content: ' • 执行层: ABB IRB 1200（RAPID分拣程序）' },
|
||||
{ type: 'output', content: ' • 通讯层: Profinet（实时）+ OPC UA（MES）' },
|
||||
{ type: 'output', content: ' • 追溯层: 批次号+片ID+缺陷掩膜→数据库' },
|
||||
{ type: 'info', content: '' },
|
||||
{ type: 'info', content: '💡 创新亮点:' },
|
||||
{ type: 'output', content: ' • 深度学习缺陷分类：7类缺陷（断栅/漏印/连锡/拖浆/脏污/划伤/崩边）' },
|
||||
{ type: 'output', content: ' • Ping-Pong双工位：解耦相机推理与机械节拍，提升30%产能' },
|
||||
{ type: 'output', content: ' • 降级运行模式：相机异常→人工复判，保证产线不停机' },
|
||||
{ type: 'output', content: ' • 本地缓存追溯：网络故障时5000片缓存+定时补发，数据零丢失' },
|
||||
{ type: 'info', content: '' },
|
||||
{ type: 'info', content: '📋 交付物清单:' },
|
||||
{ type: 'output', content: ' 1. PLC程序（TIA Portal工程文件 + 梯形图/FBD源码）' },
|
||||
{ type: 'output', content: ' 2. 机器人程序（RAPID模块 + 路径坐标配置）' },
|
||||
{ type: 'output', content: ' 3. 视觉模型（ViDi训练权重 + 标定文件 + 数据集v1.2）' },
|
||||
{ type: 'output', content: ' 4. 通讯配置（Profinet GSD + OPC UA节点表）' },
|
||||
{ type: 'output', content: ' 5. 系统文档（电气图纸 + I/O清单 + 调试报告 + 验收记录）' },
|
||||
{ type: 'info', content: '' },
|
||||
{ type: 'success', content: '✅ 完整方案已保存至: /projects/PV_AOI_Sorting_System.pdf' },
|
||||
{ type: 'info', content: '📄 附件包含: 控制程序、视觉模型、机器人代码、系统文档、验收报告' },
|
||||
{ type: 'system', content: '' },
|
||||
{ type: 'info', content: '🔗 系统已就绪，可投入PERC/TopCon电池片产线质检使用' },
|
||||
]
|
||||
});
|
||||
@@ -9,6 +9,7 @@ import { foodSimulation } from './food';
|
||||
import { visualSimulation } from './visualDesign';
|
||||
import { civilEngineeringSimulation } from './civilEngineering';
|
||||
import { healthSimulation } from './health';
|
||||
import { energySimulation } from './energy';
|
||||
|
||||
// 终端行类型定义
|
||||
export interface TerminalLine {
|
||||
@@ -51,6 +52,7 @@ export const simulationMap: Record<string, SimulationGenerator> = {
|
||||
visual: visualSimulation, // 视觉设计
|
||||
civil: civilEngineeringSimulation, // 土木
|
||||
health: healthSimulation, // 大健康
|
||||
energy: energySimulation, // 能源
|
||||
// 其他订单班暂未实现，缺少agent prompt和头像数据
|
||||
};
|
||||
|
||||
|
||||
Reference in New Issue
Block a user