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@@ -60,13 +60,15 @@ public class DataFillJobHandler {
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List<RealtimeAverageTarget> realtimeAverageTargetList = new ArrayList<>();
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QueryWrapper<RealtimeAverageTarget> ratWrapper = new QueryWrapper<>();
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- ratWrapper.select("time", "station_id", "equipment_id").eq("uniform_code", "1FZPJZB")
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+ ratWrapper.select("tbname", "time", "station_id", "equipment_id").eq("uniform_code", "1FZPJZB")
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.between("time", startDate.getTime(), endDate.getTime());
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List<RealtimeAverageTarget> ratList = realtimeAverageTargetService.list(ratWrapper);
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//按风机分组
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Map<String, List<RealtimeAverageTarget>> ratslMap = ratList.stream().collect(Collectors.groupingBy(RealtimeAverageTarget::getEquipmentId));
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for (List<RealtimeAverageTarget> value : ratslMap.values()) {
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String equipmentId = value.get(0).getEquipmentId();
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+ String tbname = value.get(0).getTbname();
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+
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Map<String, List<PointData>> lpdsMap = new HashMap<>();
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CacheContext.equipUcMap.get(equipmentId).forEach((uc, point) -> {
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List<PointData> rawByKey = adapterApi.getRawByKey(point, startDate.getTime(), endDate.getTime());
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@@ -74,10 +76,11 @@ public class DataFillJobHandler {
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});
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int i = 0;
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for (DateTime minute = DateUtil.beginOfMinute(startDate); minute.isBefore(endDate); minute.offset(DateField.MINUTE, 1)) {
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- if (i>=value.size() || (minute.getTime() != value.get(i).getTime().getTime())) {
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+ if (i >= value.size() || (minute.getTime() != value.get(i).getTime().getTime())) {
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RealtimeAverageTarget rat = new RealtimeAverageTarget();
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rat.setTime(new Timestamp(minute.getTime()));
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- setRats(rat, equipmentId, minute.getTime(), minute.getTime() + 59999L,lpdsMap);
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+ rat.setTbname(tbname);
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+ setRats(rat, equipmentId, minute.getTime(), minute.getTime() + 59999L, lpdsMap);
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realtimeAverageTargetList.add(rat);
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} else {
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i++;
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@@ -113,15 +116,15 @@ public class DataFillJobHandler {
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double isdv = 0;
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double wddv = 0;
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- if (!wind_speeds.isEmpty())
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+ if (wind_speeds != null && wind_speeds.size() > 0)
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wsdv = wind_speeds.stream().filter(pd -> pd.getTs() >= time1 && pd.getTs() <= time2).mapToDouble(PointData::getDoubleValue).average().orElse(0);
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- if (!active_powers.isEmpty())
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+ if (active_powers != null && active_powers.size() > 0)
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apdv = active_powers.stream().filter(pd -> pd.getTs() >= time1 && pd.getTs() <= time2).mapToDouble(PointData::getDoubleValue).average().orElse(0);
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- if (!generator_speeds.isEmpty())
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+ if (generator_speeds != null && generator_speeds.size() > 0)
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gsdv = generator_speeds.stream().filter(pd -> pd.getTs() >= time1 && pd.getTs() <= time2).mapToDouble(PointData::getDoubleValue).average().orElse(0);
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- if (!impeller_speeds.isEmpty())
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+ if (impeller_speeds != null && impeller_speeds.size() > 0)
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isdv = impeller_speeds.stream().filter(pd -> pd.getTs() >= time1 && pd.getTs() <= time2).mapToDouble(PointData::getDoubleValue).average().orElse(0);
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- if (!wind_directions.isEmpty())
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+ if (wind_directions != null && wind_directions.size() > 0)
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wddv = wind_directions.stream().filter(pd -> pd.getTs() >= time1 && pd.getTs() <= time2).mapToDouble(PointData::getDoubleValue).average().orElse(0);
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double speed = NumberUtil.round(wsdv, 2).doubleValue();
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