46 lines
1.2 KiB
Markdown
46 lines
1.2 KiB
Markdown
---
|
||
title: "Heartbeat Monitoring"
|
||
type: concept
|
||
tags: []
|
||
sources: []
|
||
---
|
||
|
||
# Heartbeat Monitoring
|
||
|
||
## Definition
|
||
|
||
定时任务定期检查客服队列状态,在消息出现积压或响应超时前主动告警的机制,确保 AI + 人工混合体系保持高可用性。
|
||
|
||
## Purpose
|
||
|
||
即使 AI 自动处理率很高,仍需监控:
|
||
- **被 AI 错误分类的消息**(应升级但未升级)
|
||
- **新渠道接入失败**
|
||
- **知识库缺失导致大量相同 FAQ**
|
||
- **人工队列积压**
|
||
|
||
## Implementation
|
||
|
||
Heartbeat 检查通常每 15-30 分钟运行一次:
|
||
|
||
```
|
||
Every N minutes:
|
||
1. Check unanswered messages older than X minutes
|
||
2. If count > threshold → Alert (email / Slack / Telegram)
|
||
3. Log daily response metrics:
|
||
- Total messages received
|
||
- Auto-response rate
|
||
- Escalation rate
|
||
- Average response time
|
||
```
|
||
|
||
## Related Concepts
|
||
|
||
- [[Morning Briefing]]:Heartbeat 监控数据可作为每日晨报的一部分
|
||
- [[Self-Healing-Systems]]:异常检测后可触发自动修复(如重新分类消息)
|
||
- [[Alerting]]:监控告警机制
|
||
|
||
## Sources
|
||
|
||
- [[multi-channel-customer-service]]
|