目录
- 摘要
- 一、设备状态监控概述
- 1.1 状态监控架构
- 1.2 设备状态类型
- 1.3 监控指标
- 二、状态检测
- 2.1 在线状态检测
- 2.2 运行状态检测
- 2.3 故障状态检测
- 三、状态变更追踪
- 3.1 状态变更表
- 3.2 状态持续时间计算
- 3.3 状态变更统计
- 四、状态统计
- 4.1 在线率统计
- 4.2 运行率统计
- 4.3 故障率统计
- 五、状态可视化
- 5.1 状态看板数据
- 5.2 设备状态列表
- 5.3 状态趋势数据
- 六、告警通知
- 6.1 状态告警规则
- 6.2 告警推送
- 七、实战案例
- 7.1 完整设备状态监控系统
- 八、总结
- 参考资料
摘要
本文深入讲解DolphinDB设备状态监控技术。从状态定义到状态变更追踪，从在线检测到离线判断，从状态统计到状态可视化，全面介绍设备状态监控的核心方法。通过丰富的代码示例，帮助读者掌握实时状态追踪的核心技能。
一、设备状态监控概述
1.1 状态监控架构
1.2 设备状态类型
| 状态 | 说明 |
|---|---|
| 在线 | 设备正常通信 |
| 离线 | 设备无响应 |
| 运行 | 设备正在工作 |
| 待机 | 设备空闲 |
| 故障 | 设备异常 |
| 维护 | 设备维护中 |
1.3 监控指标
| 指标 | 说明 |
|---|---|
| 在线率 | 在线时间/总时间 |
| 可用率 | 可用时间/总时间 |
| 故障率 | 故障次数/总次数 |
| 响应时间 | 数据上报间隔 |
二、状态检测
2.1 在线状态检测
//设备心跳表 share table(1:0,`device_id`last_heartbeat`online_status,[SYMBOL,TIMESTAMP,INT])asdevice_heartbeat//心跳更新defupdateHeartbeat(deviceId){existing=select*fromdevice_heartbeat where device_id=deviceIdif(existing.rows()>0){update device_heartbeatsetlast_heartbeat=now(),online_status=1where device_id=deviceId}else{insert into device_heartbeat values(deviceId,now(),1)}}//在线检测defcheckOnline(timeout=60000){threshold=now()-timeout update device_heartbeatsetonline_status=0where last_heartbeat<threshold}//定时检测defonlineCheckTask(){while(true){checkOnline(60000)//60秒超时 sleep(10000)}}submitJob("online_check","在线检测",onlineCheckTask)2.2 运行状态检测
//设备运行状态表 share table(1:0,`device_id`timestamp`status`duration,[SYMBOL,TIMESTAMP,INT,LONG])asdevice_status//状态检测规则defdetectRunStatus(deviceId,data){//基于数据判断运行状态if(data.power>0anddata.speed>0){return1//运行}elseif(data.power>0){return2//待机}else{return0//停止}}//状态变更记录defrecordStatusChange(deviceId,newStatus){lastStatus=execlast(status)fromdevice_status where device_id=deviceIdif(isNull(lastStatus)orlastStatus!=newStatus){insert into device_status values(deviceId,now(),newStatus,0)}}2.3 故障状态检测
//故障检测规则defdetectFault(deviceId,data){faults=array(INT,0)//温度过高if(data.temperature>80){faults.append!(1)}//振动异常if(data.vibration>10){faults.append!(2)}//电流异常if(data.current>100){faults.append!(3)}returnfaults}//故障记录 share table(1:0,`fault_time`device_id`fault_type`fault_level`value,[TIMESTAMP,SYMBOL,INT,INT,DOUBLE])asfault_logdefrecordFault(deviceId,faultType,faultLevel,value){insert into fault_log values(now(),deviceId,faultType,faultLevel,value)}三、状态变更追踪
3.1 状态变更表
//状态变更记录表 share table(1:0,`change_time`device_id`old_status`new_status`duration,[TIMESTAMP,SYMBOL,INT,INT,LONG])asstatus_change//记录状态变更defrecordStatusChange(deviceId,oldStatus,newStatus,duration){insert into status_change values(now(),deviceId,oldStatus,newStatus,duration)}3.2 状态持续时间计算
//计算状态持续时间defcalculateStatusDuration(deviceId){changes=select*fromstatus_change where device_id=deviceId order by change_timeif(changes.rows()==0){return0}lastChange=changes[-1]returnnow()-lastChange.change_time}3.3 状态变更统计
//状态变更统计defgetStatusChangeStats(deviceId,startTime,endTime){returnselect new_status,count(*)aschange_countfromstatus_change where device_id=deviceIdandchange_time between startTimeandendTime group by new_status}四、状态统计
4.1 在线率统计
//在线率统计defcalculateOnlineRate(deviceId,startTime,endTime){heartbeats=select*fromdevice_heartbeat where device_id=deviceIdandlast_heartbeat between startTimeandendTimeif(heartbeats.rows()==0){return0.0}onlineCount=sum(heartbeats.online_status)totalCount=heartbeats.rows()returnonlineCount*100.0/totalCount}//批量在线率defbatchOnlineRate(startTime,endTime){returnselect device_id,sum(online_status)*100.0/count(*)asonline_ratefromdevice_heartbeat where last_heartbeat between startTimeandendTime group by device_id}4.2 运行率统计
//运行率统计defcalculateRunRate(deviceId,startTime,endTime){statusData=select*fromdevice_status where device_id=deviceIdandtimestamp between startTimeandendTimeif(statusData.rows()==0){return0.0}runTime=sum(iif(statusData.status==1,statusData.duration,0))totalTime=endTime-startTimereturnrunTime*100.0/totalTime}4.3 故障率统计
//故障率统计defcalculateFaultRate(deviceId,startTime,endTime){faults=select count(*)asfault_countfromfault_log where device_id=deviceIdandfault_time between startTimeandendTime totalRecords=select count(*)astotalfromdevice_status where device_id=deviceIdandtimestamp between startTimeandendTimeif(totalRecords.total[0]==0){return0.0}returnfaults.fault_count[0]*100.0/totalRecords.total[0]}五、状态可视化
5.1 状态看板数据
//状态看板数据defgetStatusDashboard(){//设备总数 totalDevices=execcount(distinct device_id)fromdevice_heartbeat//在线设备数 onlineDevices=execcount(*)fromdevice_heartbeat where online_status=1//运行设备数 runningDevices=execcount(*)fromdevice_status where status=1//故障设备数 faultDevices=execcount(distinct device_id)fromfault_log where fault_time>now()-3600000returndict(STRING,ANY,[["totalDevices",totalDevices],["onlineDevices",onlineDevices],["runningDevices",runningDevices],["faultDevices",faultDevices],["onlineRate",onlineDevices*100.0/totalDevices]])}5.2 设备状态列表
//设备状态列表defgetDeviceStatusList(){returnselect h.device_id,h.online_status,s.statusasrun_status,h.last_heartbeat,s.timestampaslast_updatefromdevice_heartbeat h left join device_status s on h.device_id=s.device_id}5.3 状态趋势数据
//状态趋势defgetStatusTrend(startTime,endTime){returnselect bar(change_time,1h)ashour,count(*)aschange_countfromstatus_change where change_time between startTimeandendTime group by bar(change_time,1h)}六、告警通知
6.1 状态告警规则
//状态告警规则 statusAlertRules=table(["offline","fault","long_standby"]asrule_name,[600000,0,3600000]asthreshold,//毫秒[2,1,3]asalert_level)//检查状态告警defcheckStatusAlerts(){alerts=array(STRING,0)//离线告警 offlineDevices=select device_idfromdevice_heartbeat where online_status=0andlast_heartbeat<now()-600000for(deviceinofflineDevices){alerts.append!("设备离线: "+device.device_id)}returnalerts}6.2 告警推送
//告警推送defpushAlert(alertType,deviceId,message){//记录告警 insert into alert_log values(now(),deviceId,alertType,2,0,message)//推送通知//sendEmail(message)//sendSms(message)//sendWechat(message)print("告警: "+message)}七、实战案例
7.1 完整设备状态监控系统
//==========设备状态监控系统==========//1.创建状态表 share table(1:0,`device_id`last_heartbeat`online_status,[SYMBOL,TIMESTAMP,INT])asdevice_heartbeat share table(1:0,`device_id`timestamp`status`duration,[SYMBOL,TIMESTAMP,INT,LONG])asdevice_status share table(1:0,`change_time`device_id`old_status`new_status`duration,[TIMESTAMP,SYMBOL,INT,INT,LONG])asstatus_change share table(1:0,`fault_time`device_id`fault_type`fault_level`value,[TIMESTAMP,SYMBOL,INT,INT,DOUBLE])asfault_log//2.初始化设备definitDevices(){devices=table(1..10asdevice_id)for(deviceindevices.device_id){insert into device_heartbeat values(device,now(),1)insert into device_status values(device,now(),1,0)}}initDevices()//3.心跳更新任务defheartbeatTask(){while(true){//模拟心跳for(deviceIdin1..10){updateHeartbeat(deviceId)}sleep(5000)}}submitJob("heartbeat","心跳任务",heartbeatTask)//4.在线检测任务defonlineCheckTask(){while(true){checkOnline(60000)sleep(10000)}}submitJob("online_check","在线检测",onlineCheckTask)//5.状态统计接口defgetStatusDashboard(){totalDevices=execcount(distinct device_id)fromdevice_heartbeat onlineDevices=execcount(*)fromdevice_heartbeat where online_status=1runningDevices=execcount(*)fromdevice_status where status=1returndict(STRING,ANY,[["totalDevices",totalDevices],["onlineDevices",onlineDevices],["runningDevices",runningDevices],["onlineRate",onlineDevices*100.0/totalDevices]])}addFunctionView(getStatusDashboard)//6.测试print(getStatusDashboard())print("设备状态监控系统启动完成")八、总结
本文详细介绍了DolphinDB设备状态监控：
- 状态检测：在线检测、运行检测、故障检测
- 状态变更：变更记录、持续时间、变更统计
- 状态统计：在线率、运行率、故障率
- 状态可视化：状态看板、状态列表、状态趋势
- 告警通知：告警规则、告警推送
思考题：
- 如何提高状态检测的准确性？
- 如何处理设备状态抖动？
- 如何设计状态历史查询？
参考资料
- DolphinDB流计算
- DolphinDB状态监控
