如果小于天粒度，则从下个时间粒度开始

 iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/predict/PredictModuleHandler.java

@@ -69,7 +69,7 @@
            } else if (PredGranularityEnum.D1.getCode().equals(predictItem.getGranularity())) {
                calendar.set(Calendar.MINUTE, 0);
                calendar.set(Calendar.HOUR_OF_DAY, 0);
                calendar.add(Calendar.DAY_OF_YEAR, 1);//天粒度数据23:58分插入，运行时间改为第二天
                // calendar.add(Calendar.DAY_OF_YEAR, 1);//天粒度数据23:58分插入，运行时间改为第二天
            }
            PredictResultVO predictResult;
            if (!predictItem.getStatus().equals(ItemStatus.STATUS1.getCode())) {

 iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/predict/PredictResultHandler.java

@@ -3,6 +3,7 @@
import com.baomidou.dynamic.datasource.annotation.DSTransactional;
import com.iailab.module.model.common.enums.CommonDict;
import com.iailab.module.model.mcs.pre.entity.MmItemOutputEntity;
import com.iailab.module.model.mcs.pre.enums.PredGranularityEnum;
import com.iailab.module.model.mcs.pre.service.MmItemResultService;
import com.iailab.module.model.mcs.sche.service.StAdjustResultService;
import com.iailab.module.model.mdk.factory.ItemEntityFactory;
@@ -41,14 +42,18 @@
            List<DataValueVO> predictDataList = new ArrayList<>();
            Calendar calendar = Calendar.getInstance();
            calendar.setTime(predictResult.getPredictTime());
            for (Integer i = 0; i < rows; i++) {
                // 从下个时间粒度开始
                calendar.add(Calendar.SECOND, predictResult.getGranularity());

            if (predictResult.getGranularity() < PredGranularityEnum.D1.getCode()) {
                // 如果小于天粒度，则从下个时间粒度开始
                calendar.add(Calendar.SECOND, predictResult.getGranularity());
            }
            for (Integer i = 0; i < rows; i++) {
                DataValueVO predictData = new DataValueVO();
                predictData.setDataTime(calendar.getTime());
                predictData.setDataValue(Double.valueOf(entry.getValue()[i]));
                predictDataList.add(predictData);

                calendar.add(Calendar.SECOND, predictResult.getGranularity());
            }
            resultMap.put(entry.getKey().getId(), predictDataList);
            predictLists.put(entry.getKey().getResultstr(), predictDataList);