Files
pqs-influx/src/main/java/com/njcn/influx/pojo/po/DataHarmRateV.java
2024-09-13 19:56:08 +08:00

193 lines
3.6 KiB
Java
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

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:
*
* @author xuyang
* @version 1.0.0
* @createTime 2022/5/12 11:27
*/
@Data
@Measurement(name = "data_harmrate_v")
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;
}