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新增物联设备相关算法

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2025-11-11 10:56:49 +08:00
parent 8ce1f83531
commit 89df5f3039
38 changed files with 1332 additions and 77 deletions
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2
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/param/LineCountEvaluateParam.java
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@@ -62,5 +62,7 @@ public class LineCountEvaluateParam extends BaseParam implements Serializable {
*/
private Boolean dataType = true;
//0:通用 1:省级平台 2:物联
private Integer type;
}

6
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataFlicker.java
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@@ -33,6 +33,12 @@ public class DataFlicker {
@Column(name = "phasic_type",tag = true)
private String phasicType;
@Column(name = "cl_did", tag = true)
private String cldid;
@Column(name = "process", tag = true)
private String process;
@Column(name = "fluc")
private Double fluc=0.00;

6
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataFluc.java
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@@ -33,6 +33,12 @@ public class DataFluc {
@Column(name = "phasic_type",tag = true)
private String phasicType;
@Column(name = "cl_did", tag = true)
private String cldid;
@Column(name = "process", tag = true)
private String process;
@Column(name = "fluc")
private Double fluc=0.00;

6
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmphasicI.java
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@@ -43,6 +43,12 @@ public class DataHarmphasicI {
@Column(name = "value_type",tag = true)
private String valueType;
@Column(name = "cl_did", tag = true)
private String cldid;
@Column(name = "process", tag = true)
private String process;
//是否是异常指标数据，0否1是
@Column(name = "abnormal_flag")
private Integer abnormalFlag;

6
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmphasicV.java
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@@ -44,6 +44,12 @@ public class DataHarmphasicV {
@Column(name = "value_type",tag = true)
private String valueType;
@Column(name = "cl_did", tag = true)
private String cldid;
@Column(name = "process", tag = true)
private String process;
//是否是异常指标数据，0否1是
@Column(name = "abnormal_flag")
private Integer abnormalFlag;

6
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmpowerP.java
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@@ -44,6 +44,12 @@ public class DataHarmpowerP {
@Column(name = "value_type",tag = true)
private String valueType;
@Column(name = "cl_did", tag = true)
private String cldid;
@Column(name = "process", tag = true)
private String process;
//是否是异常指标数据，0否1是
@Column(name = "abnormal_flag")
private Integer abnormalFlag;

6
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmpowerQ.java
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@@ -44,6 +44,12 @@ public class DataHarmpowerQ {
@Column(name = "value_type",tag = true)
private String valueType;
@Column(name = "cl_did", tag = true)
private String cldid;
@Column(name = "process", tag = true)
private String process;
//是否是异常指标数据，0否1是
@Column(name = "abnormal_flag")
private Integer abnormalFlag;

6
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmpowerS.java
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@@ -44,6 +44,12 @@ public class DataHarmpowerS {
@Column(name = "value_type",tag = true)
private String valueType;
@Column(name = "cl_did", tag = true)
private String cldid;
@Column(name = "process", tag = true)
private String process;
//是否是异常指标数据，0否1是
@Column(name = "abnormal_flag")
private Integer abnormalFlag;

6
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmrateI.java
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@@ -43,6 +43,12 @@ public class DataHarmrateI {
@Column(name = "value_type",tag = true)
private String valueType;
@Column(name = "cl_did", tag = true)
private String cldid;
@Column(name = "process", tag = true)
private String process;
//是否是异常指标数据，0否1是
@Column(name = "abnormal_flag")
private Integer abnormalFlag;

6
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataHarmrateV.java
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@@ -43,6 +43,12 @@ public class DataHarmrateV {
@Column(name = "value_type",tag = true)
private String valueType;
@Column(name = "cl_did", tag = true)
private String cldid;
@Column(name = "process", tag = true)
private String process;
//是否是异常指标数据，0否1是
@Column(name = "abnormal_flag")
private Integer abnormalFlag;

6
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataI.java
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@@ -44,6 +44,12 @@ public class DataI {
@Column(name = "value_type",tag = true)
private String valueType;
@Column(name = "cl_did", tag = true)
private String cldid;
@Column(name = "process", tag = true)
private String process;
//是否是异常指标数据，0否1是
@Column(name = "abnormal_flag")
private Integer abnormalFlag;

6
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataInharmI.java
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@@ -44,6 +44,12 @@ public class DataInharmI {
@Column(name = "value_type",tag = true)
private String valueType;
@Column(name = "cl_did", tag = true)
private String cldid;
@Column(name = "process", tag = true)
private String process;
//是否是异常指标数据，0否1是
@Column(name = "abnormal_flag")
private Integer abnormalFlag;

6
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataInharmV.java
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@@ -44,6 +44,12 @@ public class DataInharmV {
@Column(name = "value_type",tag = true)
private String valueType;
@Column(name = "cl_did", tag = true)
private String cldid;
@Column(name = "process", tag = true)
private String process;
//是否是异常指标数据，0否1是
@Column(name = "abnormal_flag")
private Integer abnormalFlag;

9
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataPlt.java
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@@ -34,9 +34,18 @@ public class DataPlt {
@Column(name = "phasic_type",tag = true)
private String phasicType;
@Column(name = "value_type",tag = true)
private String valueType;
@Column(name = "quality_flag",tag = true)
private String qualityFlag="0";
@Column(name = "cl_did", tag = true)
private String cldid;
@Column(name = "process", tag = true)
private String process;
//是否是异常指标数据，0否1是
@Column(name = "abnormal_flag")
private Integer abnormalFlag;

7
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataV.java
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@@ -45,6 +45,13 @@ public class DataV {
@Column(name = "quality_flag", tag = true)
private String qualityFlag="0";
@Column(name = "cl_did", tag = true)
private String cldid;
@Column(name = "process", tag = true)
private String process;
//是否是异常指标数据，0否1是
@Column(name = "abnormal_flag")
private Integer abnormalFlag;