ansteel-biz/src/main/java/com/iailab/module/ansteel/job/task/RunCokingTraceModelLJTask.java

@@ -11,6 +11,7 @@
import com.iailab.module.ansteel.common.constant.CommonConstant;
import com.iailab.module.model.api.mcs.McsApi;
import com.iailab.module.model.api.mcs.dto.ChartParamDTO;
import com.iailab.module.model.api.mdk.MdkApi;
import org.apache.commons.lang3.StringUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
@@ -19,6 +20,7 @@
import org.springframework.transaction.annotation.Transactional;
import org.springframework.util.CollectionUtils;

import java.math.BigDecimal;
import java.util.*;
import java.util.stream.Collectors;

@@ -54,6 +56,9 @@
    @Autowired
    private McsApi mcsApi;

    @Autowired
    private MdkApi mdkApi;

    private final static String process = "炼焦工序";

    private final static String reportName = "炼焦工序异常溯源";
@@ -64,36 +69,23 @@

    private final static String cokeRow = "cokeRow";

    private static final HashMap<String, Object> cokeColoumMap = new HashMap<String, Object>() {{
        put("cokeColoum0", "一级指标-偏差值");
        put("cokeColoum1", "二级指标-偏差值");
        put("cokeColoum2", "影响因素1-偏差值");
        put("cokeColoum3", "影响因素2-偏差值");
        put("cokeColoum4", "影响因素3-偏差值");
        put("cokeColoum5", "影响因素n-偏差值");
    }};

    private static final HashMap<String, Object> historyPointMap = new HashMap<String, Object>() {{
        put("F0000101009", "荒煤气发生");
        put("F0000101009", "耗热量");
    }};

    private static final String jsonStr = "{\n" + "    " +
            "\"result\": {\n" + "      " +
            "\"cokeCOG\":[100.5,99.8],\n" + "      " +
            "\"cokeHeat\":[3.7,3.8],\n" + "      " +
            "\"cokeIndex\":[[0.8,0.7],[608,608],[1440,1460],[1346,1293],[0.8,0.7],[1372,1293]],\n" + "      " +
            "\"cokeTotal\":\"炼焦吨焦耗热量因煤气流量偏高、煤气水分偏低而增加23，经模型计算，延建议调整煤气流量，预计可使吨焦耗热量指标降低17\",\n" + "      " +
            "\"cokeRow0\":[[0,13],[0,42],[0,34]],\n" + "      " +
            "\"cokeRow1\":[[13,12],[12,34],[24,42]],\n" + "     " +
            "\"cokeRow2\":[[27,45],[58,42],[70,31]],\n" + "      " +
            "\"cokeRow3\":[[108,56],[110,89],[185,21]],\n" + "      " +
            "\"cokeRow4\":[[199,13],[200,51],[197,34]],\n" + "      " +
            "\"cokeRow5\":[[147,33],[131,12],[122,13]],\n" + "      " +
            "\"cokeHomePage\":[[202,42],[203,13],[204,45],[205,34],[206,17]],\n" + "      " +
            "\"cokeHomeIndex\":[[90.4,90.2],[80.3,78],[103,100],[280,270]],\n" + "      " +
            "\"cokeHomeIndexInfo\":\"2月18日甲班：吨焦耗热量异常\",\n" + "      " +
            "\"cokeHomeErr\":\"2月18日煤气预热器前数据异常（无数据）\"\n" + "    " + "}\n" + "}";
    private static final String jsonStr = "{\n"  +
            "\"result\": {\n"  +
            "\"cokeElec\":[583562.4]," +
            "\"cokeHeat1\":[130820.4,136710.3]," +
            "\"cokeRow0\":[[0.0,13.6],[2.0,10.5],[69.0,34.6]]," +
            "\"cokeIndex\":[[0.0149,0.0148],[23.6,24.5],[1350.2,1423.5],[1.21,1.25],[0.28],[103542.3,135238.5],[104668.63,137826.5],[155678.2]]," +
            "\"cokeRow1\":[[0.0,12.51],[81.0,34.3],[69.0,42.3],[86.0,56.4],[92.0,89.4]]," +
            "\"cokeRow2\":[[0.0,45.3],[9.0,42.5],[81.0,31.2],[88.0,16.3]]," +
            "\"cokeHeat2\":[135220.3,134720.3]," +
            "\"cokeCOG2\":[64525.8,64824.2]," +
            "\"cokeHomeIndex\":[[90.4,90.2],[80.3,78.5],[103.6,100.3],[280.9,270.4]]," +
            "\"cokeHomeIndexInfo\":\"2025-04-28 甲班 吨焦耗热量异常\"," +
            "\"cokeCOG1\":[64435.5,64532.6]," +
            "\"cokeHomePage\":[[124439.4,124428.4],[320.6],[224.3],[248305.4],[124436.2],[3.96],[0.43]]," +
            "\"cokeTotal\":\"炼焦吨焦耗热量因煤气流量偏高、煤气水分偏低而增加23，经模型计算，延建议调整煤气流量，预计可使吨焦耗热量指标降低17\"" +
            " }" +
            "}";

    @Override
    public void run(String params) {
@@ -186,7 +178,7 @@

    @Transactional
    public void saveTraceDeviation(String relId, String process, String clock, JSONObject result) {
        List<ChartParamDTO> list = mcsApi.getChartParamList(CommonConstant.COAL_INDEX_CHARTCODE);
        List<ChartParamDTO> list = mcsApi.getChartParamList(CommonConstant.COKE_INDEX_CHARTCODE);
        Map<String, String> steamIndexMaps = list.stream().collect(Collectors.toMap(ChartParamDTO::getParamCode, e -> e.getParamName()));

        List<String> coalRowKeys = new ArrayList<>();
@@ -209,36 +201,36 @@
            entity.setClock(clock);
            entity.setSugObj(SugObj);

            entity.setInd1Name(steamIndexMaps.get(rowArr.getJSONArray(0).get(0).toString()));
            entity.setInd1Name(steamIndexMaps.get(new BigDecimal(rowArr.getJSONArray(0).get(0).toString()).setScale(0,BigDecimal.ROUND_HALF_UP).toString()));
            entity.setInd1Value(rowArr.getJSONArray(0).get(1).toString());
            entity.setInd1Unit("");

            entity.setInd2Name(steamIndexMaps.get(rowArr.getJSONArray(1).get(0).toString()));
            entity.setInd2Name(steamIndexMaps.get(new BigDecimal(rowArr.getJSONArray(1).get(0).toString()).setScale(0,BigDecimal.ROUND_HALF_UP).toString()));
            entity.setInd2Value(rowArr.getJSONArray(1).get(1).toString());
            entity.setInd2Unit("");

            if (rowArr.size() > 2) {
                entity.setFac1Name(steamIndexMaps.get(rowArr.getJSONArray(2).get(0).toString()));
                entity.setFac1Name(steamIndexMaps.get(new BigDecimal(rowArr.getJSONArray(2).get(0).toString()).setScale(0,BigDecimal.ROUND_HALF_UP).toString()));
                entity.setFac1Value(rowArr.getJSONArray(2).get(1).toString());
                entity.setFac1Unit("");
            }
            if (rowArr.size() > 3) {
                entity.setFac2Name(steamIndexMaps.get(rowArr.getJSONArray(3).get(0).toString()));
                entity.setFac2Name(steamIndexMaps.get(new BigDecimal(rowArr.getJSONArray(3).get(0).toString()).setScale(0,BigDecimal.ROUND_HALF_UP).toString()));
                entity.setFac2Value(rowArr.getJSONArray(3).get(1).toString());
                entity.setFac2Unit("");
            }
            if (rowArr.size() > 4) {
                entity.setFac3Name(steamIndexMaps.get(rowArr.getJSONArray(4).get(0).toString()));
                entity.setFac3Name(steamIndexMaps.get(new BigDecimal(rowArr.getJSONArray(4).get(0).toString()).setScale(0,BigDecimal.ROUND_HALF_UP).toString()));
                entity.setFac3Value(rowArr.getJSONArray(4).get(1).toString());
                entity.setFac3Unit("");
            }
            if (rowArr.size() > 5) {
                entity.setFac4Name(steamIndexMaps.get(rowArr.getJSONArray(5).get(0).toString()));
                entity.setFac4Name(steamIndexMaps.get(new BigDecimal(rowArr.getJSONArray(5).get(0).toString()).setScale(0,BigDecimal.ROUND_HALF_UP).toString()));
                entity.setFac4Value(rowArr.getJSONArray(5).get(1).toString());
                entity.setFac4Unit("");
            }
            if (rowArr.size() > 6) {
                entity.setFac5Name(steamIndexMaps.get(rowArr.getJSONArray(6).get(0).toString()));
                entity.setFac5Name(steamIndexMaps.get(new BigDecimal(rowArr.getJSONArray(6).get(0).toString()).setScale(0,BigDecimal.ROUND_HALF_UP).toString()));
                entity.setFac5Value(rowArr.getJSONArray(6).get(1).toString());
                entity.setFac5Unit("");
            }
@@ -265,6 +257,8 @@
            analyIndEntity.setSort(i + 1);
            entityList.add(analyIndEntity);
        }
        // 清理旧数据
        cokingAnalyIndService.delete(process, analyDate, analyClass);
        cokingAnalyIndService.save(entityList);
    }
}