GAT1400协议解读（二）

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GAT1400协议解读（二）

采集设备

1、采集设备对象

采集设备对象实体

package com.wtone.platform.gat.images.gat.model; import com.fasterxml.jackson.annotation.JsonProperty; import io.swagger.annotations.ApiModel; import io.swagger.annotations.ApiModelProperty; import lombok.AllArgsConstructor; import lombok.Data; import lombok.NoArgsConstructor; import lombok.ToString; / * @Author: gat1400 * @Date: 2023/12/13 10:01 * @desc: 采集设备对象的特征属性 */ @Data @ToString @NoArgsConstructor //无参构造 @AllArgsConstructor //有参构造 @ApiModel(value="Ape对象",description="采集设备对象") public class Ape { 
    @ApiModelProperty(value="设备ID",example = "") @JsonProperty("ApeID") private String ApeID; @ApiModelProperty(value="设备名称",example = "xx人脸抓拍设备") @JsonProperty("Name") private String Name; @ApiModelProperty(value="型号",example = "大华") @JsonProperty("Model") private String Model; @ApiModelProperty(value="ip地址",example = "192.168.1.1") @JsonProperty("IPAddr") private String IPAddr; @ApiModelProperty(value="端口",example = "192.168.1.1") @JsonProperty("Port") private String Port; @ApiModelProperty(value="经度",example = "56.") @JsonProperty("Longitude") private String Longitude; @ApiModelProperty(value="纬度",example = "56.") @JsonProperty("Latitude") private String Latitude; @ApiModelProperty(value="安装地点行政区划代码",example = "") @JsonProperty("PlaceCode") private String PlaceCode; @ApiModelProperty(value="位置名,具体到摄像机位置或街道门牌号，由 (乡镇街道)+ (街路巷)+ (门楼牌号)+ (门楼详细地址)构成",example = "") @JsonProperty("Place") private String Place; @ApiModelProperty(value="OrgCode",example = "") @JsonProperty("OrgCode") private String OrgCode; @ApiModelProperty(value="车辆抓拍方向,0：拍车头；1：拍车尾，兼容无视频卡口信息设备",example = "") @JsonProperty("CapDirection") private String CapDirection; @ApiModelProperty(value="监视方向",example = "") @JsonProperty("MonitorDirection") private String MonitorDirection; @ApiModelProperty(value="监视区域说明",example = "") @JsonProperty("MonitorAreaDesc") private String MonitorAreaDesc; @ApiModelProperty(value="是否在线",example = "") @JsonProperty("IsOnline") private String IsOnline; @ApiModelProperty(value="所属采集系统,采集设备所接的采集系统设备",example = "") @JsonProperty("OwnerApsID") private String OwnerApsID; @ApiModelProperty(value="用户帐号,用于支持修改设备登陆帐号",example = "") @JsonProperty("UserId") private String UserId; @ApiModelProperty(value="口令,用于支持修改设备登陆口令",example = "") @JsonProperty("Password") private String Password; } 

2、采集设备mysql建表语句

-- ---------------------------- -- Table structure for apedb -- ---------------------------- DROP TABLE IF EXISTS `apedb`; CREATE TABLE `apedb` ( `id` varchar(64) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `ApeID` varchar(64) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `Name` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `Model` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `IPAddr` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `Port` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `Longitude` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `Latitude` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `PlaceCode` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `Place` varchar(1000) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `OrgCode` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `CapDirection` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `MonitorDirection` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `MonitorAreaDesc` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `IsOnline` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `OwnerApsID` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `UserId` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `Password` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `FunctionType` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `create_by` varchar(64) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `create_time` varchar(50) NULL DEFAULT NULL, `update_by` varchar(64) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `update_time` varchar(50) NULL DEFAULT NULL, `sysdate` datetime(0) NULL DEFAULT NULL, PRIMARY KEY (`id`) USING BTREE, UNIQUE INDEX `appId_uniquea`(`ApeID`) USING BTREE ) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic; 

3、抓包文件示例

POST /VIID/APEs HTTP/1.1
Host: 172.16.0.1:9020
Content-Length: 1183
Authorization: Digest username="admin", realm="xd GAT1400", nonce="MTcwMjQzMTA5MTkxMzo5NDQxYTlkN2EyYTYzOGFhMTQ3YmRmZGJlMzlkZDdmYg==", uri="/VIID/APEs", response="74cd2732a634203c6c019a098ee00f7e", qop=auth, nc=00000004, cnonce="03ad37857c260cb1"
Request-Origion: Knife4j
Accept: application/json
User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/118.0.0.0 Safari/537.36
Content-Type: application/json
Origin: http://172.16.0.1:9020
Referer: http://172.16.0.1:9020/doc.html
Accept-Encoding: gzip, deflate
Accept-Language: zh-CN,zh;q=0.9
Cookie: JSESSIONID=4A5A379B5A8E7F56F091D6E27DC1A9AF
Forwarded: for=172.16.26.245:58048;by=localhost.localdomain:1080
Connection: keep-alive

{
	"APEListObject": {
		"APEObject": [
			{
				"ApeID": 51018267701327123456,
				"CapDirection": "0",
				"IPAddr": "172.16.1.2",
				"IsOnline": "1",
				"Latitude": 30.993801,
				"Longitude": 103.952007,
				"Model": "......",
				"MonitorAreaDesc": "",
				"MonitorDirection": "1",
				"Name": "...........................(...)",
				"OrgCode": "510182010000",
				"OwnerApsID": "51018220225037123456",
				"Password": "xxxx",
				"FunctionType":2,
				"Place": "...........................(...)",
				"PlaceCode": 510182,
				"Port": "5060",
				"UserId": "admin"
			},
			{
				"ApeID": 51018267701327123457,
				"CapDirection": "0",
				"IPAddr": "172.16.1.3",
				"IsOnline": "1",
				"Latitude": 30.993801,
				"Longitude": 103.952007,
				"Model": "......",
				"MonitorAreaDesc": "",
				"MonitorDirection": "1",
				"Name": "........................(...)",
				"OrgCode": "510182010000",
				"OwnerApsID": "51018220225037123457",
				"Password": "xxxx",
				"FunctionType":1,
				"Place": "........................(...)",
				"PlaceCode": 510182,
				"Port": "5060",
				"UserId": "admin"
			}
		]
	}
}HTTP/1.1 401 
WWW-Authenticate: Digest realm="wtone GAT1400", qop="auth", nonce="MTcwMjQzMTQ4MDU2Mzo5NjAyZjQ4M2NhOWNhMmE5NzMzODIxNjdkN2NkNWIxMQ==", stale="true"
X-Content-Type-Options: nosniff
X-XSS-Protection: 1; mode=block
Cache-Control: no-cache, no-store, max-age=0, must-revalidate
Pragma: no-cache
Expires: 0
X-Frame-Options: DENY
WWW-Authenticate: Digest realm="xd GAT1400", qop="auth", nonce="MTcwMjQzMTQ4MDU2NDo2ZThlY2E4ZTZhODBlMjMwMTA4OWM0NzUzOTQxZTJhOA==", stale="true"
Content-Length: 0
Date: Wed, 13 Dec 2023 01:33:00 GMT
Keep-Alive: timeout=60
Connection: keep-alive

人脸

import com.fasterxml.jackson.annotation.JsonProperty; import io.swagger.annotations.ApiModel; import io.swagger.annotations.ApiModelProperty; import lombok.AllArgsConstructor; import lombok.NoArgsConstructor; import lombok.ToString; import lombok.Data; / * @Author: gat1400 * @Date: 2023/12/13 10:01 * @desc: 人脸对象 */ @Data @ToString @NoArgsConstructor //无参构造 @AllArgsConstructor //有参构造 @ApiModel(value="Face对象",description="人脸对象") public class Face { 
    @ApiModelProperty(value="人脸标识") @JsonProperty("FaceID") private String FaceID; @ApiModelProperty(value="信息分类,人工采集还是自动采集") @JsonProperty("InfoKind") private String InfoKind; @ApiModelProperty(value="来源图像信息标识") @JsonProperty("SourceID") private String SourceID; @ApiModelProperty(value="设备编码，自动采集必选") @JsonProperty("DeviceID") private String DeviceID; @ApiModelProperty(value="左上角 X 坐标,人脸区域，自动采集记录时为必选") @JsonProperty("LeftTopX") private String LeftTopX; @ApiModelProperty(value="左上角 Y 坐标,人脸区域，自动采集记录时为必选") @JsonProperty("LeftTopY") private String LeftTopY; @ApiModelProperty(value="右下角 X 坐标,人脸区域，自动采集记录时为必选") @JsonProperty("RightBtmX") private String RightBtmX; @ApiModelProperty(value="右下角 Y 坐标,人脸区域，自动采集记录时为必选") @JsonProperty("RightBtmY") private String RightBtmY; @ApiModelProperty(value="位置标记时间,人工采集时有效") @JsonProperty("LocationMarkTime") private String LocationMarkTime; @ApiModelProperty(value="人脸出现时间,人工采集时有效") @JsonProperty("FaceAppearTime") private String FaceAppearTime; @ApiModelProperty(value="人脸消失时间,人工采集时有效") @JsonProperty("FaceDisAppearTime") private String FaceDisAppearTime; @ApiModelProperty(value="证件种类") @JsonProperty("IDType") private String IDType; @ApiModelProperty(value="证件号码,有效证件号码") @JsonProperty("IDNumber") private String IDNumber; @ApiModelProperty(value="姓名，人员的中文姓名全称") @JsonProperty("Name") private String Name; @ApiModelProperty(value="曾用名，曾经在户籍管理部门正式登记注册、人事档案正式记载的姓氏名称") @JsonProperty("UsedName") private String UsedName; @ApiModelProperty(value="绰号，使用姓名及曾用名之外的名称") @JsonProperty("Alias") private String Alias; @ApiModelProperty(value="性别代码") @JsonProperty("GenderCode") private String GenderCode; @ApiModelProperty(value="年龄上限,最大可能年龄") @JsonProperty("AgeUpLimit") private int AgeUpLimit; @ApiModelProperty(value="年龄下限,最小可能年龄") @JsonProperty("AgeLowerLi") private int AgeLowerLi; @ApiModelProperty(value="民族代码,中国各名族的罗马字母拼写法和代码") @JsonProperty("EthicCode") private String EthicCode; @ApiModelProperty(value="国籍代码,世界各国和地区名称代码") @JsonProperty("NationalityCode") private String NationalityCode; @ApiModelProperty(value="籍贯省市县代码") @JsonProperty("NativeCityCode") private String NativeCityCode; @ApiModelProperty(value="居住地 行政区划") @JsonProperty("ResidenceAdminDivisi") private String ResidenceAdminDivisi; @ApiModelProperty(value="汉语口音代码,汉语口音编码规则") @JsonProperty("ChineseAccentCode") private String ChineseAccentCode; @ApiModelProperty(value="职业类别代码,职业分类与代码，不包含代码中“—”") @JsonProperty("JobCategory") private String JobCategory; @ApiModelProperty(value="同行人脸数,被标注人脸的同行人脸数") @JsonProperty("AccompanyNumber") private String AccompanyNumber; @ApiModelProperty(value="肤色") @JsonProperty("SkinColor") private String SkinColor; @ApiModelProperty(value="发型") @JsonProperty("HairStyle") private String HairStyle; @ApiModelProperty(value="发色") @JsonProperty("HairColor") private String HairColor; @ApiModelProperty(value="脸型") @JsonProperty("FaceStyle") private String FaceStyle; @ApiModelProperty(value="脸部特征") @JsonProperty("FacialFeature") private String FacialFeature; @ApiModelProperty(value="体貌特征") @JsonProperty("PhysicalFeature") private String PhysicalFeature; @ApiModelProperty(value="口罩颜色") @JsonProperty("RespiratorColor") private String RespiratorColor; @ApiModelProperty(value="帽子款式") @JsonProperty("CapStyle") private String CapStyle; @ApiModelProperty(value="帽子颜色") @JsonProperty("CapColor") private String CapColor; @ApiModelProperty(value="眼镜款式") @JsonProperty("GlassStyle") private String GlassStyle; @ApiModelProperty(value="眼镜颜色") @JsonProperty("GlassColor") private String GlassColor; @ApiModelProperty(value="是否驾驶员 0：否；1：是；2：不确定") @JsonProperty("IsDriver") private String IsDriver; @ApiModelProperty(value="是否涉外人员 0：否；1：是；2：不确定") @JsonProperty("IsForeigne") private int IsForeigne; @ApiModelProperty(value="护照证件种类") @JsonProperty("PassportType") private int PassportType; @ApiModelProperty(value="出入境人员类别代码") @JsonProperty("ImmigrantTypeCode") private String ImmigrantTypeCode; @ApiModelProperty(value="是否涉恐人员 0：否；1：是；2：不确定") @JsonProperty("IsSuspectedTerrorist") private int IsSuspectedTerrorist; @ApiModelProperty(value="涉恐人员编号") @JsonProperty("SuspectedTerroristNumber") private String SuspectedTerroristNumber; @ApiModelProperty(value="是否涉案人员 0：否；1：是；2：不确定") @JsonProperty("IsCriminalInvolved") private int IsCriminalInvolved; @ApiModelProperty(value="涉案人员专长代码") @JsonProperty("CriminalInvolvedSpecilisationCode") private String CriminalInvolvedSpecilisationCode; @ApiModelProperty(value="体表特殊标记") @JsonProperty("BodySpeciallMark") private String BodySpeciallMark; @ApiModelProperty(value="作案手段") @JsonProperty("CrimeMethod") private String CrimeMethod; @ApiModelProperty(value="作案特点代码") @JsonProperty("CrimeCharacterCode") private String CrimeCharacterCode; @ApiModelProperty(value="在逃人员编号") @JsonProperty("EscapedCriminalNumbe") private String EscapedCriminalNumbe; @ApiModelProperty(value="是否在押人员 0：否；1：是；2：不确定，人工采集必填") @JsonProperty("IsDetainees") private int IsDetainees; @ApiModelProperty(value="看守所编码") @JsonProperty("DetentionHouseCode") private String DetentionHouseCode; @ApiModelProperty(value="在押人员身份") @JsonProperty("DetaineesIdentity") private String DetaineesIdentity; @ApiModelProperty(value="在押人员特殊身份") @JsonProperty("DetaineesSpecialIdentity") private String DetaineesSpecialIdentity; @ApiModelProperty(value="成员类型代码") @JsonProperty("MemberTypeCode") private String MemberTypeCode; @ApiModelProperty(value="是否被害人 0：否；1：是；2：不确定") @JsonProperty("IsVictim") private int IsVictim; @ApiModelProperty(value="被害人种类") @JsonProperty("VictimType") private String VictimType; @ApiModelProperty(value="受伤害程度") @JsonProperty("InjuredDegree") private String InjuredDegree; @ApiModelProperty(value="尸体状况代码") @JsonProperty("CorpseConditionCode") private String CorpseConditionCode; @ApiModelProperty(value="是否可疑人 0：否；1：是；2：不确定") @JsonProperty("IsSuspiciousPerson") private int IsSuspiciousPerson; @ApiModelProperty(value="姿态分布 1：平视；2：微仰；3：微俯；4：左微侧脸；5 左斜侧脸；6：左全侧脸；7：右微侧脸；8：右 斜侧脸；9：右全侧脸") @JsonProperty("Attitude") private int Attitude; @ApiModelProperty(value="相似度 人脸相似度，[0，1]") @JsonProperty("Similaritydegree") private String Similaritydegree; @ApiModelProperty(value=" 眉型 1：上扬眉；2：一字眉；3：八字眉；4：淡眉毛 5：浓眉毛；6：弯眉；7：细眉；8：短眉毛 9：特殊眉； 有多个特征时用英文半角分 号”;”分隔") @JsonProperty("EyebrowStyle") private String EyebrowStyle; @ApiModelProperty(value="鼻型 1：普通鼻；2：扁鼻子；3：尖鼻子；4：朝天鼻；5：鹰钩鼻；6：蒜头鼻；7：宽鼻子；8： 小鼻子；9：露孔鼻；10：特殊鼻； 有多个特 征时用英文半角分号”;”分隔") @JsonProperty("NoseStyle") private String NoseStyle; @ApiModelProperty(value="胡型 1：一字胡；2：八字胡；3：淡胡子；4：络腮胡；5：山羊胡；6：花白胡；7：一点胡") @JsonProperty("MustacheStyle") private String MustacheStyle; @ApiModelProperty(value="1：常见嘴；2：厚嘴唇；3：薄嘴唇；4：厚嘴巴；5：上翘嘴；6：下撇嘴；7：凸嘴；8：凹 嘴；9：露齿嘴；10：小嘴； 有多个特征时用 英文半角分号”;”分隔") @JsonProperty("LipStyle") private String LipStyle; @ApiModelProperty(value="皱纹眼袋；1：抬头纹；2：左眼角纹；3：右眼角纹；4：眉间纹；5：左眼纹；6：右眼纹；7：眼袋；8 左笑纹；9：右笑纹；10：鼻间纹；11：左瘦纹 12：右瘦纹； 有多个特征时用英文半角分 号”;”分隔") @JsonProperty("WrinklePouch") private String WrinklePouch; @ApiModelProperty(value="痤疮色斑；1：痤疮（单）；2：痤疮（少）；3：痤疮（多）4：雀斑（稀）；5：雀斑（少）；6：雀斑（多）7：色斑； 有多个特征时用英文半角分号”;” 分隔") @JsonProperty("AcneStain") private String AcneStain; @ApiModelProperty(value="黑痣胎记；1：痣（小）；2：痣（中）；3：痣（大）；4：黑痣（小）；5：黑痣（中）；6：黑痣（大）；7：胎记；有多个特征时用英文半角分号”;”分隔") @JsonProperty("FreckleBirthmark") private String FreckleBirthmark; @ApiModelProperty(value="疤痕酒窝；1：疤痕；2：酒窝左；3：酒窝右； 有多个特征时用英文半角分号”;”分隔") @JsonProperty("ScarDimple") private String ScarDimple; @ApiModelProperty(value="其他特征；1：酒渣鼻（小）；2：酒渣鼻（大）；3：酒渣鼻（重） 4：招风耳左；5：招风耳右；6：大耳") @JsonProperty("OtherFeature") private String OtherFeature; @ApiModelProperty(value="朵左；7：大耳朵右；8：粗糙皮肤；9：白癜风小；10：白癜风中；11：白癜风大； 有多个 特征时用英文半角分号”;”分隔") @JsonProperty("ed") private String ed; @ApiModelProperty(value="图像列表,可以包含 0 个或者多个子图像对象") @JsonProperty("SubImageList") private SubImageList SubImageInfoList; } 

2、人脸对象建表语句

-- ---------------------------- -- Table structure for facedb -- ---------------------------- DROP TABLE IF EXISTS `facedb`; CREATE TABLE `facedb` ( `id` varchar(64) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `accompanyNumber` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `acneStain` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `ageLowerLi` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `ageUpLimit` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `alias` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `attitude` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `bodySpeciallMark` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `capColor` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `capStyle` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `chineseAccentCode` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `corpseConditionCode` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `crimeCharacterCode` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `crimeMethod` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `criminalInvolvedSpeciCode` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `detaineesIdentity` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `detaineesSpecialIdentity` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `detentionHouseCode` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `deviceID` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `ethicCode` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `eyebrowStyle` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `faceAppearTime` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `faceDisAppearTime` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `faceID` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `faceStyle` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `facialFeature` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `freckleBirthmark` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `genderCode` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `glassColor` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `glassStyle` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `hairColor` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `hairStyle` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `iDNumber` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `iDType` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `immigrantTypeCode` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `infoKind` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `injuredDegree` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `isCriminalInvolved` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `isDetainees` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `isDriver` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `isForeigne` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `isSuspectedTerrorist` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `isSuspiciousPerson` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `isVictim` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `jobCategory` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `leftTopX` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `leftTopY` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `lipStyle` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `locationMarkTime` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `memberTypeCode` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `mustacheStyle` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `name` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `nationalityCode` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `nativeCityCode` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `noseStyle` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `otherFeature` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `passportType` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `physicalFeature` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `respiratorColor` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `rightBtmX` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `rightBtmY` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `scarDimple` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `similaritydegree` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `skinColor` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `sourceID` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `subImageInfoList` longtext CHARACTER SET utf8 COLLATE utf8_general_ci NULL, `suspectedTerroristNumber` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `usedName` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `victimType` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `wrinklePouch` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `create_by` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `create_time` varchar(50) NULL DEFAULT NULL, `update_by` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `update_time` varchar(50) NULL DEFAULT NULL, PRIMARY KEY (`id`) USING BTREE, UNIQUE INDEX `faceID_uniquea`(`faceID`) USING BTREE ) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic; 

3、抓包文件示例（base64字段过长，只截取部分）

{ 
    "FaceListObject": { 
    "FaceObject": [{ 
    "FaceID": "8393", "DeviceID": "", "SourceID": "", "IsVictim": 2, "SubImageList": { 
    "SubImageInfoObject": [{ 
    "DeviceID": "", "EventSort": 10, "Data": "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", "FileFormat": "Jpeg", "ImageType": "14", "Type": "14", "StoragePath": "", "ImageID": "", "ShotTime": "628", "Height": 1080, "Width": 1920 }, { 
    "DeviceID": "", "EventSort": 10, "Data": "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", "FileFormat": "Jpeg", "ImageType": "11", "Type": "11", "StoragePath": "", "ImageID": "", "ShotTime": "628", "Height": 1136, "Width": 464 }] }, "LeftTopY": 717, "LeftTopX": 1072, "IsSuspectedTerrorist": 2, "IsForeigner": 0, "InfoKind": 1, "RightBtmY": 866, "RightBtmX": 1181, "IsCriminalInvolved": 2, "IsDetainees": 2, "IsSuspiciousPerson": 2 }] } } 

车辆

import com.fasterxml.jackson.annotation.JsonProperty; import io.swagger.annotations.ApiModel; import io.swagger.annotations.ApiModelProperty; import lombok.AllArgsConstructor; import lombok.Data; import lombok.NoArgsConstructor; import lombok.ToString; / * @Author: gat1400 * @Date: 2023/12/13 10:01 * @desc: 车辆对象 MotorVehicleDB 特征属性 */ @Data @ToString @NoArgsConstructor //无参构造 @AllArgsConstructor //有参构造 @ApiModel(value = "MotorVehicle对象", description = "非标注车辆对象") public class MotorVehicle { @ApiModelProperty(value = "车辆全局唯一标识", example = "") @JsonProperty("MotorVehicleID") private String MotorVehicleID; @ApiModelProperty(value = "信息分类 ,人工采集还是自动采集", example = "1") @JsonProperty("InfoKind") private Integer InfoKind; @ApiModelProperty(value = "来源图像标识", example = "00022212") @JsonProperty("SourceID") private String SourceID; @ApiModelProperty(value = "关联卡口编号，卡口编码") @JsonProperty("TollgateID") private String TollgateID; @ApiModelProperty(value = "过车时间", example = "622") @JsonProperty("PassTime") private String PassTime; @ApiModelProperty(value = "设备编码", example = "") @JsonProperty("DeviceID") private String DeviceID; @ApiModelProperty(value = "近景照片", example = "https://10.129.35.11:88/png") @JsonProperty("StorageUrl1") private String StorageUrl1; @ApiModelProperty(value = "车牌照片", example = "https://10.129.35.11:88/png") @JsonProperty("StorageUrl2") private String StorageUrl2; @ApiModelProperty(value = "远景照片 ", example = "https://10.129.35.11:88/png") @JsonProperty("StorageUrl3") private String StorageUrl3; @ApiModelProperty(value = " 合成图 ", example = "https://10.129.35.11:88/png") @JsonProperty("StorageUrl4") private String StorageUrl4; @ApiModelProperty(value = "缩略图", example = "https://10.129.35.11:88/png") @JsonProperty("StorageUrl5") private String StorageUrl5; @ApiModelProperty(value = "左上角 X 坐标 的位置，记录左上角坐标及右下角坐标", example = "1696") @JsonProperty("LeftTopX") private Integer LeftTopX; @ApiModelProperty(value = "左上角 Y 坐标 的位置，记录左上角坐标及右下角坐标", example = "1696") @JsonProperty("LeftTopY") private Integer LeftTopY; @ApiModelProperty(value = "右下角 X 坐标 的位置，记录左上角坐标及右下角坐标", example = "1696") @JsonProperty("RightBtmX") private Integer RightBtmX; @ApiModelProperty(value = "右下角 Y 坐标，记录左上角坐标及右下角坐标", example = "1696") @JsonProperty("RightBtmY") private Integer RightBtmY; @ApiModelProperty(value = "车道号车辆行驶方向最左车道为 1，由左向右顺序编号", example = "5") @JsonProperty("LaneNo") private Integer LaneNo; @ApiModelProperty(value = "有无车牌", example = "1") @JsonProperty("HasPlate") private String HasPlate; @ApiModelProperty(value = "号牌种类", example = "01") @JsonProperty("PlateClass") private String PlateClass; @ApiModelProperty(value = "车牌颜色,指号牌底色，取 ColorType 中部分值： 黑色，白色，黄色，蓝色，绿色", example = "1") @JsonProperty("PlateColor") private String PlateColor; @ApiModelProperty(value = "车牌号 各类机动车号牌编号车牌全部无法识别的以“无车牌”标识，部分未识别的每个字符以半角‘-’代替", example = "川DFG321") @JsonProperty("PlateNo") private String PlateNo; @ApiModelProperty(value = "挂车牌号 ,各类机动车挂车号牌编号", example = "aEHubsIgqwbyTmJ") @JsonProperty("PlateNoAttach") private String PlateNoAttach; @ApiModelProperty(value = "车牌描述, 车牌框广告信息，包括车行名称，联系电话等", example = "KO6rBbFHsrRNowo0w8VQ") @JsonProperty("PlateDescribe") private String PlateDescribe; @ApiModelProperty(value = "是否套牌", example = "0") @JsonProperty("IsDecked") private String IsDecked; @ApiModelProperty(value = "是否涂改", example = "0") @JsonProperty("IsAltered") private String IsAltered; @ApiModelProperty(value = "是否遮挡", example = "0") @JsonProperty("IsCovered") private String IsCovered; @ApiModelProperty(value = "行驶速度,单位千米每小时（km/h）", example = "110") @JsonProperty("Speed") private Double Speed; @ApiModelProperty(value = "行驶方向", example = "3") @JsonProperty("Direction") private String Direction; @ApiModelProperty(value = "行驶状态代码", example = "iu1s") @JsonProperty("DrivingStatusCode") private String DrivingStatusCode; @ApiModelProperty(value = "车辆使用性质代码", example = "9") @JsonProperty("UsingPropertiesCode") private String UsingPropertiesCode; @ApiModelProperty(value = "车辆类型", example = "K") @JsonProperty("VehicleClass") private String VehicleClass; @ApiModelProperty(value = "车辆品牌,被标注车辆的品牌", example = "136") @JsonProperty("VehicleBrand") private String VehicleBrand; @ApiModelProperty(value = "车辆型号", example = "7a0tPo67moEQ4MMq") @JsonProperty("VehicleModel") private String VehicleModel; @ApiModelProperty(value = "车辆年款", example = "9dj3PCtfJWz2k5iS") @JsonProperty("VehicleStyles") private String VehicleStyles; @ApiModelProperty(value = "车辆长度", example = "17111") @JsonProperty("VehicleLength") private String VehicleLength; @ApiModelProperty(value = "车辆宽度", example = "1902") @JsonProperty("VehicleWidth") private String VehicleWidth; @ApiModelProperty(value = "车辆高度", example = "2127") @JsonProperty("VehicleHeight") private String VehicleHeight; @ApiModelProperty(value = "车身颜色", example = "1") @JsonProperty("VehicleColor") private String VehicleColor; @ApiModelProperty(value = "颜色深浅", example = "0") @JsonProperty("VehicleColorDept") private String VehicleColorDept; @ApiModelProperty(value = "车前盖,对车前盖的描述", example = "ZJt06Flr5oRdcQHSKfijTvao37hHXH8VBcrjCvRge8Jl6qkkhI6cUxbuLnz9ntRu") @JsonProperty("VehicleHood") private String VehicleHood; @ApiModelProperty(value = "车后盖,对车后盖的描述", example = "4hoihOC5aB2QchEiIMwRwIlqk4NYUi9uofSaNpVGbWAVo6dPfovrbsL98MJoLTiy") @JsonProperty("VehicleTrunk") private String VehicleTrunk; @ApiModelProperty(value = "车轮,对车轮的描述", example = "tjfKGiw73xl08ZDNeYULvyctA87tlDernW6ECU085tdGuc2GM0qzdvJhnDEnkk") @JsonProperty("VehicleWheel") private String VehicleWheel; @ApiModelProperty(value = "车轮印花纹,对车轮花纹的描述", example = "86") @JsonProperty("WheelPrintedPatte") private String WheelPrintedPatte; @ApiModelProperty(value = "车窗,对车窗的描述", example = "PZAiLfbj7UMRcFvThsWkpRsOXV5qVVPKpAMDIVB7ccrNjVyZb0uYpeFOBg7qIu7f") @JsonProperty("VehicleWindow") private String VehicleWindow; @ApiModelProperty(value = "车顶,对车顶的描述", example = "2eLChu4sjkC7UTNglhaVapL1sJ4Za0zg0INubvXOInJIUi1UfWcdSXip3CFffqSu") @JsonProperty("VehicleRoof") private String VehicleRoof; @ApiModelProperty(value = "车门,对车门的描述", example = "v3wYhpFlGwcyD00fRqQfuOcRreW5iCi3A3iFsuc1OloESSXoAj7LmEFsVFkcDhbB") @JsonProperty("VehicleDoor") private String VehicleDoor; @ApiModelProperty(value = "车侧,对车侧面的描述，不包括门", example = "eomMH3w0Xji381dzkQKM3U33wUrk4RAJ7e5RQkQIoRmsyXzDpzkCwzWY9dFqQHuI") @JsonProperty("SideOfVehicle") private String SideOfVehicle; @ApiModelProperty(value = "车厢,对车厢的描述", example = "tpAdFairgpZFHOJy2n0gz5Hfn5MmTCgnXmeiLmrPFUmaIbu0LidpiAnGNNhfPENN") @JsonProperty("CarOfVehicle") private String CarOfVehicle; @ApiModelProperty(value = "后视镜,对后视镜的描述", example = "fW3megjE6dUsu4UCkyEi8EwXfVip8MrpEUpIWUsskaMc4dF0vzmBVUl1uVVFFx5b") @JsonProperty("RearviewMirror") private String RearviewMirror; @ApiModelProperty(value = "底盘,对车底盘的描述", example = "Vxcm3Cob2mdbJmW69kog8hviPxoKK0Zz9H1APEMoU5jUZyc3VhoOXfjX9Obu6p9B") @JsonProperty("VehicleChassis") private String VehicleChassis; @ApiModelProperty(value = "遮挡,对车遮挡物的描述", example = "itujakqAfu0ZYVzQNnKDjzd2R5R3pr4ahN1xDOxShzyN11PzPwrupBKtgkERUFwL") @JsonProperty("VehicleShielding") private String VehicleShielding; @ApiModelProperty(value = "贴膜颜色", example = "3") @JsonProperty("FilmColor") private String FilmColor; @ApiModelProperty(value = "改装标志", example = "1") @JsonProperty("IsModified") private String IsModified; @ApiModelProperty(value = "撞痕信息", example = "0") @JsonProperty("HitMarkInfo") private String HitMarkInfo; @ApiModelProperty(value = "车身描述, 描述车身上的文字信息，或者 车上载物信息", example = "iqVARbu0qrzfrWT4T1ZYDKZn2HTPnhqEwQmbiG2lk0AIXWSiCf344O9OL6qhKPsiTRHRhgGSXwoEtV7aIJL1QS6ciyxLt7w7Q5u7CpIWwlAMnh4TcD3DuMNNyHXyEnIx") @JsonProperty("VehicleBodyDesc") private String VehicleBodyDesc; @ApiModelProperty(value = "车前部物品,当有多个时可用英文半角逗号分隔", example = "2") @JsonProperty("VehicleFrontItem") private String VehicleFrontItem; @ApiModelProperty(value = "车前部物品描述, 对车前部物品数量、颜色、种类等信息的描述", example = "2") @JsonProperty("DescOfFrontItem") private String DescOfFrontItem; @ApiModelProperty(value = "车后部物品,当有多个时可用英文半角逗号分隔", example = "1") @JsonProperty("VehicleRearItem") private String VehicleRearItem; @ApiModelProperty(value = "车后部物品描述,对车后部物品数量、颜色、种类等信息的描述", example = "1") @JsonProperty("DescOfRearItem") private String DescOfRearItem; @ApiModelProperty(value = "车内人数,车辆内人员数量", example = "2") @JsonProperty("NumOfPassenger") private String NumOfPassenger; @ApiModelProperty(value = "经过道路名称,车辆被标注时经过的道路名", example = "T4NI1tMfXtjLW7CyJxqvgAvSiaGjMbSnLWqTWNOjT1EGM3XojQJGVpY6wW7qMpnl") @JsonProperty("NameOfPassedRo") private String NameOfPassedRo; @ApiModelProperty(value = "遮阳板状态,0：收起；1：放下", example = "0") @JsonProperty("Sunvisor") private String Sunvisor; @ApiModelProperty(value = "安全带状态,0：未系；1：有系", example = "0") @JsonProperty("SafetyBelt") private String SafetyBelt; @ApiModelProperty(value = "打电话状态,0：未打电话；1：打电话中", example = "0") @JsonProperty("Calling") private Integer Calling; @ApiModelProperty(value = "整个号牌号码的识别可信度，以 0～100 数值表示百分比，", example = "0") @JsonProperty("PlateReliability") private String PlateReliability; @ApiModelProperty(value = "号牌号码的识别可信度，以0～100 数值表示百分比，数值越大可信度越高。按“字符 1-可信度 1，字符 2-可信度 2”方式排列，中间为英文半角连接线、逗号；例如识别号牌号码为：苏 B12345，则取值为：”苏-80，B-90， 1-90，2-88，3-90，4-67，5-87”", example = "0") @JsonProperty("PlateCharReliabilit") private String PlateCharReliabilit; @ApiModelProperty(value = "品牌标志识别可信度,以 0～100 之间数值表示百分比，数值越大可信度越高", example = "052") @JsonProperty("BrandReliability") private String BrandReliability; @ApiModelProperty(value = "可以包含0个或者多个子图像 对象") @JsonProperty("SubImageList") private SubImageList SubImageInfoList; @ApiModelProperty(value = "特征值列表") @JsonProperty("FeatureList") private FeatureInfoObject FeatureList; @ApiModelProperty(value = "国籍代码,世界各国和地区名称代码", example = "rOg") @JsonProperty("NationalityCode") private String NationalityCode; @ApiModelProperty(value = "归属分类标签 ", example = "kiadBNlicflbuInybf8dyndQFSwsHXdAWCen0zUsO") @JsonProperty("TabID") private String TabID; } 

2、车辆建表语句

-- ---------------------------- -- Table structure for motorvehicledb -- ---------------------------- DROP TABLE IF EXISTS `motorvehicledb`; CREATE TABLE `motorvehicledb` ( `id` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '主键id', `motorVehicleID` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '车辆全局唯一标识', `infoKind` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '信息分类 ,人工采集还是自动采集', `sourceID` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '来源图像标识', `tollgateID` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '关联卡口编号，卡口编码', `passTime` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '过车时间', `deviceID` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '设备编码', `storageUrl1` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '近景照片', `storageUrl2` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '车牌照片', `storageUrl3` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '远景照片', `storageUrl4` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '合成图', `storageUrl5` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '缩略图', `leftTopX` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '左上角 X 坐标 的位置，记录左上角坐标及右下角坐标', `leftTopY` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '右下角 X 坐标 的位置，记录左上角坐标及右下角坐标', `rightBtmX` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '左上角 Y 坐标 的位置，记录左上角坐标及右下角坐标', `rightBtmY` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '右下角 Y 坐标，记录左上角坐标及右下角坐标', `laneNo` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '车道号车辆行驶方向最左车道为 1，由左向右顺序编号', `hasPlate` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '有无车牌', `plateClass` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '号牌种类', `plateColor` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '车牌颜色,指号牌底色，取 ColorType 中部分值： 黑色，白色，黄色，蓝色，绿色', `plateNo` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '车牌号 ', `plateNoAttach` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '挂车牌号 ,各类机动车挂车号牌编号', `plateDescribe` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '车牌描述, 车牌框广告信息，包括车行名称，联系电话等', `isDecked` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '是否套牌', `isAltered` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '是否涂改', `IsCovered` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '是否遮挡', `speed` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '行驶速度,单位千米每小时（km/h）', `direction` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '行驶方向', `drivingStatusCode` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '行驶状态代码', `usingPropertiesCode` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '车辆使用性质代码', `vehicleClass` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '车辆类型', `vehicleBrand` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '车辆品牌,被标注车辆的品牌', `vehicleModel` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '车辆型号', `vehicleStyles` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '车辆年款', `vehicleLength` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '车辆长度', `vehicleWidth` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '车辆宽度', `vehicleHeight` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '车辆高度', `vehicleColor` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '车身颜色', `vehicleColorDept` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '颜色深浅', `vehicleHood` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '车前盖,对车前盖的描述', `vehicleTrunk` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '车后盖,对车后盖的描述', `vehicleWheel` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '车轮,对车轮的描述', `wheelPrintedPatte` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '车轮印花纹,对车轮花纹的描述', `vehicleWindow` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '车窗,对车窗的描述', `vehicleRoof` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '车顶,对车顶的描述', `vehicleDoor` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '车门,对车门的描述', `sideOfVehicle` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '车侧,对车侧面的描述，不包括门', `carOfVehicle` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '车厢,对车厢的描述', `rearviewMirror` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '后视镜,对后视镜的描述', `vehicleChassis` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '底盘,对车底盘的描述', `vehicleShielding` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '遮挡,对车遮挡物的描述', `filmColor` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '贴膜颜色', `isModified` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '改装标志', `hitMarkInfo` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '撞痕信息', `vehicleBodyDesc` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '车身描述, 描述车身上的文字信息，或者 车上载物信息', `vehicleFrontItem` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '车前部物品,当有多个时可用英文半角逗号分隔', `descOfFrontItem` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '车前部物品描述, 对车前部物品数量、颜色、种类等信息的描述', `vehicleRearItem` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '车后部物品,当有多个时可用英文半角逗号分隔', `descOfRearItem` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '车后部物品描述,对车后部物品数量、颜色、种类等信息的描述', `numOfPassenger` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '车内人数,车辆内人员数量', `nameOfPassedRo` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '经过道路名称,车辆被标注时经过的道路名', `sunvisor` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '遮阳板状态,0：收起；1：放下', `safetyBelt` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '安全带状态,0：未系；1：有系', `calling` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '打电话状态,0：未打电话；1：打电话中', `plateReliability` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '整个号牌号码的识别可信度，以 0～100 数值表示百分比', `plateCharReliabilit` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '号牌号码的识别可信度', `brandReliability` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '品牌标志识别可信度', `subImageInfoList` longtext CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL COMMENT '可以包含0个或者多个子图像 对象', `featureList` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '特征值列表', `nationalityCode` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '国籍代码,世界各国和地区名称代码', `tabID` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '归属分类标签', `create_by` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL, `create_time` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL, `update_by` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL, `update_time` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL, PRIMARY KEY (`id`) USING BTREE, UNIQUE INDEX `motorVehicleID_uniquea`(`motorVehicleID` ASC) USING BTREE ) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = DYNAMIC; 

3、抓包文件示例（base64字段过长，只截取部分）

{ 
    "MotorVehicleListObject": { 
    "MotorVehicleObject": [{ 
    "Speed": "0.0", "MotorVehicleID": "0042", "DeviceID": "", "SourceID": "00", "Calling": "0", "PassTime": "001", "SubImageList": { 
    "SubImageInfoObject": [{ 
    "DeviceID": "", "EventSort": 12, "Data": 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", 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    "DeviceID": "", "EventSort": 12, "Data": 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", 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    "DeviceID": "", "EventSort": 12, "Data": 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", 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