1.创建多线程的方法
/**@param queryDate 日期
* @param sId 电站sId
* @param busiCode 汇流箱业务编号
* @param pvkpilow 低效门限
* @return List<Object []>
*/
@Override
public List<Object[]> queryConcentratePVRuntimeStatus(
String queryDate, String sId,String[] busiCode, Object pvkpiLow) {
List<Object[]> retList = new ArrayList<Object[]>();
initReportService();
//创建两个容量的线程池,一个查询组串有效功率和平均值,一个查询每个组串有效功率和
ExecutorService es = Executors.newFixedThreadPool(2);
List<Future<List<Object[]>>> futureList = new ArrayList<Future<List<Object[]>>>();
//查询组串有效功率和平均值
futureList.add(es.submit(new pvkpiConcentrateAvgThread(this.reportService, queryDate, sId,busiCode)));
//查询每个组串有效功率和
futureList.add(es.submit(new pvkpiConcentrateValueThread(this.reportService, queryDate, sId,busiCode)));
try {
//有效功率和平均值
List<Object[]> avgList= futureList.get(0).get();
//组串有效功率和
List<Object[]> valueList= futureList.get(1).get();
Map<String, Double> avgMap = new HashMap<String, Double>();
for(Object[] o : avgList){
avgMap.put(String.valueOf(o[1]), Double.valueOf(String.valueOf(o[2])));
}
Object[] retObject = null;
for(Object[] o : valueList){
retObject = new Object[25];
retObject[0] = o[0];//电站ID
retObject[2] = o[22];//汇流箱名称
retObject[3] = o[1];//业务编号
boolean isShow = false;
double pvAvg = avgMap.containsKey(String.valueOf(o[1]))?avgMap.get(String.valueOf(o[1])):0;
double doublepvkpiLow = Double.parseDouble(pvkpiLow.toString());
for(int i = 2; i <22; i++){
String pvValue = String.valueOf(o[i]);//组串状态
retObject[i+2] = "OK";
//组串1状态
if("ERROR".equals(o[i])){
retObject[i+2] = "ERROR";
isShow = true;
} else if ("UNASSEMBLED".equals(o[i])){
retObject[i+2] = "UNASSEMBLED";
} else if(Double.valueOf(pvValue) < pvAvg){
//计算组串是否低效
if(1-(pvAvg - Double.valueOf(pvValue))/pvAvg < doublepvkpiLow){
retObject[i+2] = "LOW";
isShow = true;
}
}
}
if(isShow){
retObject[24] = queryDate;//查询时间
retList.add(retObject);
}
}
} catch (Exception e) {
Log.error("多线程查询集中式组串运行状态异常 : ", e);
}
es.shutdown();
return retList;
}
线程方法1:
/**
* 查询汇流箱每个组串有效功率和平均值
* Create Date: 2015-7-13<br>
* Create Author: xWX244078<br>
* Description :
*/
public class pvkpiConcentrateAvgThread implements Callable<List<Object[]>> {
private IRmiOfReportDataService dataService;
private String queryDate;
private String sId;
private String[] busiCode;
public pvkpiConcentrateAvgThread(IRmiOfReportDataService dataService,
String queryDate, String sId,String[] busiCode) {
this.queryDate = queryDate;
this.sId = sId;
this.busiCode = busiCode;
this.dataService = dataService;
}
@Override
public List<Object[]> call() throws Exception {
// TODO Auto-generated method stub
if(null != dataService){
return dataService.queryConcentrateAvg(queryDate, sId, busiCode);
}
return null;
}
}
线程方法2:
/**
* 查询每个汇流箱组串有效功率和
* Create Date: 2015-7-13<br>
* Create Author: xWX244078<br>
* Description :
*/
public class pvkpiConcentrateValueThread implements Callable<List<Object[]>> {
private IRmiOfReportDataService dataService;
private String queryDate;
private String sId;
private String[] busiCode;
public pvkpiConcentrateValueThread(IRmiOfReportDataService dataService,
String queryDate, String sId, String[] busiCode) {
this.queryDate = queryDate;
this.sId = sId;
this.busiCode = busiCode;
this.dataService = dataService;
}
@Override
public List<Object[]> call() throws Exception {
// TODO Auto-generated method stub
if(null != dataService){
return dataService.queryConcentrateValue(queryDate, sId, busiCode);
}
return null;
}
}
本文介绍了一种使用多线程技术查询光伏电站运行状态的方法。通过创建两个线程池,分别负责查询组串的有效功率和平均值,以及每个组串的有效功率,实现了效率的提升。最终整合两部分数据,判断组串的状态,并返回结果。
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