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DataHarmRateV属性单独拎出来

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guofeihu
2024-09-13 19:56:08 +08:00
parent 60afcb97cf
commit 0ca611213f
1 changed files with 176 additions and 2 deletions
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178
src/main/java/com/njcn/influx/pojo/po/DataHarmRateV.java
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@@ -1,8 +1,14 @@
package com.njcn.influx.pojo.po;
import com.fasterxml.jackson.databind.annotation.JsonSerialize;
import com.njcn.influx.utils.InstantDateSerializer;
import lombok.Data;
import lombok.EqualsAndHashCode;
import org.influxdb.annotation.Column;
import org.influxdb.annotation.Measurement;
import org.influxdb.annotation.TimeColumn;
import java.time.Instant;
/**
* 类的介绍：
@@ -11,8 +17,176 @@ import org.influxdb.annotation.Measurement;
* @version 1.0.0
* @createTime 2022/5/12 11:27
*/
@EqualsAndHashCode(callSuper = true)
@Data
@Measurement(name = "data_harmrate_v")
public class DataHarmRateV extends DataHarmPhasicV{
public class DataHarmRateV{
@TimeColumn
@Column(name = "time", tag = true)
@JsonSerialize(using = InstantDateSerializer.class)
private Instant time;
@Column(name = "line_id", tag = true)
private String lineId;
@Column(name = "phasic_type", tag = true)
private String phaseType;
@Column(name = "quality_flag", tag = true)
private String qualityFlag;
@Column(name = "value_type", tag = true)
private String valueType;
@Column(name = "v_1")
private Double v1;
@Column(name = "v_2")
private Double v2;
@Column(name = "v_3")
private Double v3;
@Column(name = "v_4")
private Double v4;
@Column(name = "v_5")
private Double v5;
@Column(name = "v_6")
private Double v6;
@Column(name = "v_7")
private Double v7;
@Column(name = "v_8")
private Double v8;
@Column(name = "v_9")
private Double v9;
@Column(name = "v_10")
private Double v10;
@Column(name = "v_11")
private Double v11;
@Column(name = "v_12")
private Double v12;
@Column(name = "v_13")
private Double v13;
@Column(name = "v_14")
private Double v14;
@Column(name = "v_15")
private Double v15;
@Column(name = "v_16")
private Double v16;
@Column(name = "v_17")
private Double v17;
@Column(name = "v_18")
private Double v18;
@Column(name = "v_19")
private Double v19;
@Column(name = "v_20")
private Double v20;
@Column(name = "v_21")
private Double v21;
@Column(name = "v_22")
private Double v22;
@Column(name = "v_23")
private Double v23;
@Column(name = "v_24")
private Double v24;
@Column(name = "v_25")
private Double v25;
@Column(name = "v_26")
private Double v26;
@Column(name = "v_27")
private Double v27;
@Column(name = "v_28")
private Double v28;
@Column(name = "v_29")
private Double v29;
@Column(name = "v_30")
private Double v30;
@Column(name = "v_31")
private Double v31;
@Column(name = "v_32")
private Double v32;
@Column(name = "v_33")
private Double v33;
@Column(name = "v_34")
private Double v34;
@Column(name = "v_35")
private Double v35;
@Column(name = "v_36")
private Double v36;
@Column(name = "v_37")
private Double v37;
@Column(name = "v_38")
private Double v38;
@Column(name = "v_39")
private Double v39;
@Column(name = "v_40")
private Double v40;
@Column(name = "v_41")
private Double v41;
@Column(name = "v_42")
private Double v42;
@Column(name = "v_43")
private Double v43;
@Column(name = "v_44")
private Double v44;
@Column(name = "v_45")
private Double v45;
@Column(name = "v_46")
private Double v46;
@Column(name = "v_47")
private Double v47;
@Column(name = "v_48")
private Double v48;
@Column(name = "v_49")
private Double v49;
@Column(name = "v_50")
private Double v50;
//是否是异常指标数据，0否1是
@Column(name = "abnormal_flag")
private Integer abnormalFlag;
}