多人协同标注：实时同步进度、智能任务分配、多级审核机制
04 / Solution detail
AI Model Development & Inference Deployment Solution
An end-to-end AI platform covering data governance, smart labeling, training, evaluation, inference, and monitoring - with guided model workflows, zero-code deployment, and enterprise-grade private delivery.
Solution contents
00
Overview
Deliverables
AI Model Development & Inference Deployment Solution
1Data prep and AI-assisted labeling
2Guided model development platform
3Multi-dimensional evaluation and industry assets
4Inference deployment with task/event center
5Enterprise-grade platform foundation
5
Deliverables
6
delivery chapters
01
Full-Process Closed-Loop System
A closed loop of five stages: data prep, model development, evaluation, inference deployment, and operations monitoring.
Capability points
1数据准备：多源数据接入、数据集管理、智能标注
2模型开发：预训练模型、在线/离线训练、多机多卡
3效果评估：准确率/F1、召回率评估、模型验收
4推理部署：API服务封装、任务中心、事件中心
5运营监控：运行监控、告警日志、持续优化
02
Efficient Collaborative Annotation & AI-Assisted Labeling
智能辅助标注：自动预标注、智能推荐、质量检测、一致性校验
标注效率提升60%、人工成本降低40%、标注质量提升35%
任务调度与进度追踪
协同工作流加速项目交付
Multi-user collaboration with AI pre-labeling - +60% efficiency, -40% labor cost, +35% quality.
03
Multi-Dimensional Evaluation & Industry Model Accumulation
Multi-dimensional evaluation (accuracy, precision, recall, F1) and continuous accumulation of industry models across transport, energy, power, and manufacturing.
- 多维度评估：准确率、精确率、召回率、F1-Score
- 多维度评估报告与可视化对比
- 上线判定建议
- 行业模型沉淀：交通、能源、电力、制造
- 模型资产可复用、可扩展、可维护
04
Task Center & Event Center
Flexible task scheduling with full event traceability - a data→inference→trigger→notify closed loop.
- 任务中心：运行规则配置、调度方式（定时/事件/手动）、任务预览、执行历史
- 事件中心：业务事件、调用日志、消息推送
- 流程闭环：数据采集→推理执行→事件触发→消息推送
- 灵活的任务调度机制
- 完整的事件追溯与多种消息推送方式
05
Operations Monitoring & Alert Mechanism
Real-time service and performance monitoring with three-tier alerts delivered via email, SMS, WeCom, and phone.
01
运行监控：服务运行状态、资源占用实时查看
Core
02
性能观测：响应时间、吞吐量等性能指标
03
多层级告警：紧急告警、重要告警、一般告警
04
多渠道告警方式：邮件、短信、企业微信、电话
Implementation flow
06
Platform Guarantee Capability System
Capability points
01
安全管理：数据加密存储、传输加密、访问控制、审计日志
02
集群管理：节点管理、服务发现、负载均衡、故障转移
03
运维监控：系统监控、日志管理、告警管理、性能分析
04
资源调度：算力调度、任务队列、优先级管理、资源配额
05
权限治理：角色管理、权限分配、部门隔离、操作审计
Five foundation capabilities - security, cluster, O&M, resource, and governance - supporting private deployment and long-term upgrades.
5
Capability points
06
Implementation analysis
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