package com.ruoyi.task;
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import com.alibaba.fastjson2.JSONArray;
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import com.alibaba.fastjson2.JSONObject;
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import com.fasterxml.jackson.annotation.JsonFormat;
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import com.mashape.unirest.http.HttpResponse;
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import com.mashape.unirest.http.Unirest;
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import com.mashape.unirest.http.exceptions.UnirestException;
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import com.ruoyi.aibrain.domain.AiAlarmInfo;
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import com.ruoyi.aibrain.domain.AiCamera;
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import com.ruoyi.aibrain.service.IAiAlarmInfoService;
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import com.ruoyi.aibrain.service.IAiCameraService;
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import com.ruoyi.camera.domain.CameraShipingsb;
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import com.ruoyi.camera.service.ICameraShipingsbService;
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import com.ruoyi.common.annotation.Excel;
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import com.ruoyi.common.config.RuoYiConfig;
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import com.ruoyi.common.constant.CacheConstants;
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import com.ruoyi.common.core.domain.model.LoginUser;
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import com.ruoyi.common.core.redis.RedisCache;
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import com.ruoyi.common.utils.http.HttpUtils;
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import com.ruoyi.common.utils.spring.SpringUtils;
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import com.ruoyi.interchange.domain.TbDataSendRecords;
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import com.ruoyi.interchange.service.ITbDataSendRecordsService;
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import com.ruoyi.system.domain.SysUserOnline;
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import okhttp3.*;
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import javax.net.ssl.SSLContext;
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import javax.net.ssl.TrustManager;
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import javax.net.ssl.X509TrustManager;
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import java.io.File;
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import java.security.KeyManagementException;
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import java.security.NoSuchAlgorithmException;
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import java.text.ParseException;
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import java.text.SimpleDateFormat;
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import java.util.*;
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import java.util.concurrent.TimeUnit;
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public class CameraAssembleUtil {
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private static IAiCameraService aiCameraService;
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private static ICameraShipingsbService cameraShipingsbService;
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private static ITbDataSendRecordsService tbDataSendRecordsService;
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private static IAiAlarmInfoService aiAlarmInfoService;
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private static RedisCache redisCache;
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private static String SJURL="https://192.168.100.89:4200/spjr000/api/open/v1"; //省级请求地址
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private static String MKBM= RuoYiConfig.getMkbm(); //煤矿编码
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private static String MKMC= RuoYiConfig.getMkmc(); //煤矿名称
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private static String SCCJ="徐州珂尔玛科技有限公司"; //生产厂家名称
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private static String XTXH="KEM2023SPJKXT"; //系统型号
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private static String XTMC="AI智能视频监控系统"; //系统名称
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//接口说明：https://192.168.100.89:4200/spjr000/swagger/index.html
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//上传接口：https://192.168.100.89:4200/spjr000/api/open/v1/ai/channel/general/push
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private static SimpleDateFormat YMDformat = new SimpleDateFormat("yyyy-MM-dd");
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private static SimpleDateFormat format = new SimpleDateFormat("yyyyMMddHHmmss");
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private static SimpleDateFormat formatYMD = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
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static {
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aiCameraService = SpringUtils.getBean(IAiCameraService.class);
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cameraShipingsbService = SpringUtils.getBean(ICameraShipingsbService.class);
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tbDataSendRecordsService = SpringUtils.getBean(ITbDataSendRecordsService.class);
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aiAlarmInfoService = SpringUtils.getBean(IAiAlarmInfoService.class);
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redisCache = SpringUtils.getBean(RedisCache.class);
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}
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//AI分析识别数据传输
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//HTTPS://ip:port/api/open/v1/ai/channel/general/push/
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//煤矿企业编码 company String(12)
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//摄像头编码 biz String(5)
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//分析类型编码 channel String(2)
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//数据上报时间 pdt String(10) UTC 时间戳
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//运输设备视频 （掘进工作面带式输送机机头、采煤工作面刮板机及带式输送机机头） file 上限10兆
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//视频文件命名格式如下：煤矿企业编码+摄像头编码+分析类型编码+生产、运输设备运行状态编码+当前时间+.MP4，编码规范具体参考表 5-18 基础编码表。例如在 2021 年1月4日12点15分46秒识别到一煤矿企业掘进工作面带式输送机机头由停止变为运行，并且有煤，企业立即上传证据视频，视频文件名称为：1404210078660700200003000120210104121546.MP4
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//扩展参数 data list String(255)
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//1.运输设备运行状态识别信息
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//2.工作面出口障碍物识别信息
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//3.单体柱状态识别信息
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//4.堆煤识别信息
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//5.危险区域警戒线（电子围栏）内人员进入识别信息
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//6.马头门罐笼摇台状态识别信息
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//7.摄像头遮挡、挪动角度识别信息
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public static void cameraAiError() throws ParseException {
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SimpleDateFormat sdf = new SimpleDateFormat("yyyyMMddHHmmss");
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//查询出所以未传输的报警
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Collection<String> keys = redisCache.keys("video_*");
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for (String key : keys) {
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JSONObject errObj = redisCache.getCacheObject(key);
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AiCamera aiCamera = redisCache.getCacheObject("AI::AiCameraObj"+errObj.getString("cameraCode"));
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if(aiCamera!=null){
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String shiBieLXMC=getShiBieLXMC(errObj.getString("analyse"));
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if(shiBieLXMC.equals("未找到的类别")){
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errObj.put("error","未找到的类别");
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redisCache.setCacheObject("SC::error::"+key,errObj,10,TimeUnit.DAYS);
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}else{
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Date warningTime=sdf.parse(errObj.getString("warningTime"));
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//需结合AI分析进行完善
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CameraShipingsb cameraShipingsb=new CameraShipingsb();
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cameraShipingsb.setSheXiangTID(aiCamera.getId());//摄像头ID
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cameraShipingsb.setSheXiangTBM(errObj.getString("cameraCode"));//摄像头编码
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cameraShipingsb.setShiBieLXBM(errObj.getString("analyseResult"));//识别类型编码
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cameraShipingsb.setShiBieLXMC(shiBieLXMC);//识别类型名称
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cameraShipingsb.setFenXiLXBM(errObj.getString("analyse"));//分析类型编码
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cameraShipingsb.setFileUrl(errObj.getString("recordFileName"));//识别视频存储地址
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cameraShipingsb.setShuJuSJ(warningTime);//数据时间
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cameraShipingsbService.insertCameraShipingsb(cameraShipingsb);
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//生成报警信息
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AiAlarmInfo aiAlarmInfo=new AiAlarmInfo();
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aiAlarmInfo.setCameraId(aiCamera.getId());//报警设备id
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aiAlarmInfo.setCameraName(aiCamera.getName());//报警设备
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aiAlarmInfo.setRegion(aiCamera.getRegion());//报警区域
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aiAlarmInfo.setRegionName(aiCamera.getRegionName());//区域名称
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aiAlarmInfo.setRuleId(1L);//算法
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aiAlarmInfo.setRegionName(shiBieLXMC+"-AI智能分析");//算法名称
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aiAlarmInfo.setContent(shiBieLXMC);//报警内容
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aiAlarmInfo.setSmallClass("1");//报警类型
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aiAlarmInfo.setVideo(errObj.getString("recordFileName").replaceAll("D:/AI/aibrain/","/profile/"));//报警视频
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aiAlarmInfo.setPicture(errObj.getString("recordImgFileName").replaceAll("D:/AI/aibrain/","/profile/"));//报警图片
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aiAlarmInfo.setAlarmTime(warningTime);//报警时间
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aiAlarmInfo.setDealWith("0");//是否处理（0未处理，1已处理）
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aiAlarmInfoService.insertAiAlarmInfo(aiAlarmInfo);
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JSONObject objCS=new JSONObject();
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objCS.put("type","AI分析");
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objCS.put("sendSum",0);
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JSONObject obj=new JSONObject();
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obj.put("company",MKBM);//煤矿企业编码
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obj.put("biz",aiCamera.getCameraNum());//摄像头编码
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obj.put("channel",cameraShipingsb.getFenXiLXBM() + cameraShipingsb.getShiBieLXBM());//分析类型编码
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long currentTime=warningTime.getTime()/1000;
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obj.put("pdt",currentTime);//数据上报时间
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obj.put("file",cameraShipingsb.getFileUrl());//运输设备视频
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obj.put("data","[]");//扩展参数
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objCS.put("data",obj);
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redisCache.rightPush("CameraAssemble",objCS);
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redisCache.setCacheObject("SC::success::"+key,errObj,10,TimeUnit.DAYS);
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}
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}else{
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errObj.put("error","未找到该摄像头");
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redisCache.setCacheObject("SC::error::"+key,errObj,10,TimeUnit.DAYS);
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}
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redisCache.deleteObject(keys);
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}
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}
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/**识别结果，按上级要求定制，都归属于以下识别类型（在IPCConfig.xml文件中配置）
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* 运输设备运行状态 003
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* 人员入井 004
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* 货运车辆 005
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* 人员睡岗 007
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* 人员空岗 008
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* 危险区域人员闯入 013
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* 摄像头遮挡 020
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* 摄像头挪动角度 021
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* 罐笼摇台未到位 057
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* 单体柱倾倒识别 059
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* 障碍物堵塞识别 060
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* 堆煤识别 062
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* */
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public static String getShiBieLXMC(String shiBieLXBM){
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switch (shiBieLXBM){
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case "003":
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return "运输设备运行状态";
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case "004":
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return "人员入井";
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case "005":
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return "货运车辆";
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case "007":
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return "人员睡岗";
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case "008":
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return "人员空岗";
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case "013":
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return "危险区域人员闯入";
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case "020":
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return "摄像头遮挡";
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case "021":
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return "摄像头挪动角度";
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case "057":
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return "罐笼摇台未到位";
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case "059":
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return "单体柱倾倒识别";
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case "060":
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return "障碍物堵塞识别";
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case "062":
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return "堆煤识别";
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default:
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return "未找到的类别";
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}
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}
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//8.带标记实时播放地址(需鉴权 实时视频地址变动时)
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//HTTPS://ip:port/api/open/v1/ai/video/register/
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//煤矿企业编码 company String(12)
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//摄像头编码 biz String(5)
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//识别视频流名称/简称 name String(32)
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//视频接入协议 protocol String(12)
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//接入视频编码 raw_codec String(5)
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//实时视频地址 url String(128)
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public static void cameraInfo(){
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AiCamera aiCamera=new AiCamera();
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aiCamera.setStatus("1");//启用的摄像头
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List<AiCamera> list = aiCameraService.selectAiCameraList(aiCamera);
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JSONObject objCS=new JSONObject();
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objCS.put("type","摄像头信息");
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objCS.put("sendSum",0);
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for (int i = 0; i < list.size(); i++) {
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AiCamera aiCameraObj=list.get(i);
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JSONObject obj=new JSONObject();
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obj.put("company",MKBM);//煤矿企业编码
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obj.put("biz",aiCameraObj.getCameraNum());//摄像头编码
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obj.put("name",aiCameraObj.getName());//识别视频流名称/简称
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obj.put("protocol","RTMP");//视频接入协议
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obj.put("raw_codec","H.264");//接入视频编码
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obj.put("url",aiCameraObj.getToRtmp());//实时视频地址
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objCS.put("data",obj);
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redisCache.rightPush("CameraAssemble",objCS);
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}
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}
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//9.摄像头在线、离线检测信息(每 5分钟一次)
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//HTTPS://ip:port/api/open/v1/probe/status/push/
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//煤矿企业编码 company String(12)
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//摄像头编码 biz String(5)
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//分析类型编码 biz_type String(2)
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//子系统采集类型 link_type 固定为 AI String(2)
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//采集传输频率 freq 固定为 0 String(1)
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//采集类型 freq_channel 固定为空字符串 int(1)
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//软件运行状态 status int(1) 摄像头离线时，推送值为 0，摄像头在线状态时，值为 1
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public static void cameraSatus(){
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AiCamera aiCamera=new AiCamera();
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aiCamera.setStatus("1");//启用的摄像头
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List<AiCamera> list = aiCameraService.selectAiCameraList(aiCamera);
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JSONObject objCS=new JSONObject();
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objCS.put("type","状态检测");
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objCS.put("sendSum",0);
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for (int i = 0; i < list.size(); i++) {
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AiCamera aiCameraObj=list.get(i);
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JSONObject obj=new JSONObject();
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obj.put("company",MKBM);//煤矿企业编码
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obj.put("biz",aiCameraObj.getCameraNum());//摄像头编码
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obj.put("biz_type",aiCameraObj.getCameraModel());//摄像头分析类型编码
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obj.put("link_type","AI");//子系统采集类型 固定为 AI
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obj.put("freq","0");//采集传输频率 固定为 0
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obj.put("freq_channel","");//采集类型 固定为空字符串
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obj.put("status",aiCameraObj.getRunStatus());//软件运行状态
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objCS.put("data",obj);
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redisCache.rightPush("CameraAssemble",objCS);
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}
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}
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public static void DataTransmission(JSONObject obj) throws UnirestException {
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//通过https方式发送
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//取出的数据
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System.out.println("AI上传开始发送数据:"+obj.toString());
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JSONObject paramJson=obj.getJSONObject("data");
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TbDataSendRecords tbDataSendRecords=new TbDataSendRecords();
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tbDataSendRecords.setFileName(paramJson.toJSONString());//文件名
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tbDataSendRecords.setDataHeader("");//数据头
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tbDataSendRecords.setDataNumber(1l);//数据数量
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tbDataSendRecords.setCoalMineId(1l);//所属煤矿ID
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tbDataSendRecords.setSystemId(1l);//所属系统ID
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tbDataSendRecords.setRuleId(1l);//数据文件采集规则ID
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tbDataSendRecords.setDetectionTime(new Date());//文件处理时间
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tbDataSendRecords.setDetectionResult("0");//是否系统生成的 0是 1否
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tbDataSendRecords.setCheckResult("1");//校验结果 0通过 1未通过
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if(obj.getString("type").equals("AI分析")){
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DataTransmissionAiFX(paramJson,tbDataSendRecords);
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tbDataSendRecords.setSendFileUrl(paramJson.getString("file"));//文件发送FTP位置
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}else if(obj.getString("type").equals("摄像头信息")){
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DataTransmissionCameraInfo(paramJson,tbDataSendRecords);
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}else if(obj.getString("type").equals("状态检测")){
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DataTransmissionCameraStaus(paramJson,tbDataSendRecords);
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}
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tbDataSendRecordsService.insertTbDataSendRecords(tbDataSendRecords);
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}
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//AI分析识别数据传输
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//HTTPS://ip:port/api/open/v1/ai/channel/general/push/
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//煤矿企业编码 company String(12)
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//摄像头编码 biz String(5)
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//分析类型编码 channel String(2)
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//数据上报时间 pdt String(10) UTC 时间戳
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//运输设备视频 （掘进工作面带式输送机机头、采煤工作面刮板机及带式输送机机头） file 上限10兆
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//视频文件命名格式如下：煤矿企业编码+摄像头编码+分析类型编码+生产、运输设备运行状态编码+当前时间+.MP4，编码规范具体参考表 5-18 基础编码表。例如在 2021 年1月4日12点15分46秒识别到一煤矿企业掘进工作面带式输送机机头由停止变为运行，并且有煤，企业立即上传证据视频，视频文件名称为：1404210078660700200003000120210104121546.MP4
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//扩展参数 data list String(255)
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//1.运输设备运行状态识别信息
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//2.工作面出口障碍物识别信息
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//3.单体柱状态识别信息
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//4.堆煤识别信息
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//5.危险区域警戒线（电子围栏）内人员进入识别信息
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//6.马头门罐笼摇台状态识别信息
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//7.摄像头遮挡、挪动角度识别信息
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public static void DataTransmissionAiFX(JSONObject paramJson,TbDataSendRecords tbDataSendRecords) {
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System.out.println("xxxxxxxxxxxxxxxx");
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//String参数
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Map<String, String> params = new HashMap<String, String>();
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params.put("company",paramJson.getString("company"));//煤矿企业编码
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params.put("biz",paramJson.getString("biz"));//摄像头编码
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params.put("channel",paramJson.getString("channel"));//分析类型编码
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params.put("pdt",paramJson.getString("pdt"));//数据上报时间
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params.put("data",paramJson.getString("data"));//扩展参数
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String boundary = "------WebKitFormBoundary7MA4YWxkTrZu0gW--"; // 设置boundary字符串，用于标识参数和附件的边界
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final TrustManager[] trustAllCerts = new TrustManager[]{
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new X509TrustManager() {
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@Override
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public void checkClientTrusted(java.security.cert.X509Certificate[] chain, String authType) {
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}
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@Override
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public void checkServerTrusted(java.security.cert.X509Certificate[] chain, String authType) {
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}
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@Override
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public java.security.cert.X509Certificate[] getAcceptedIssuers() {
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return new java.security.cert.X509Certificate[]{};
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}
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}
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};
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//请求地址
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String url = SJURL+"/ai/channel/general/push/";
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try{
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final SSLContext sslContext = SSLContext.getInstance("SSL");
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sslContext.init(null, trustAllCerts, new java.security.SecureRandom());
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final javax.net.ssl.SSLSocketFactory sslSocketFactory = sslContext.getSocketFactory();
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OkHttpClient client = new OkHttpClient.Builder()
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.connectTimeout(30, TimeUnit.SECONDS)
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.readTimeout(30, TimeUnit.SECONDS)
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.sslSocketFactory(sslSocketFactory, (X509TrustManager) trustAllCerts[0])
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.hostnameVerifier((hostname, session) -> true) // 信任所有主机名
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.build();
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String fileUrl=paramJson.getString("file");
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File file = new File(fileUrl);
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//fileUrl.split("\\");
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String[] fileName=fileUrl.split("\\\\");
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RequestBody body = new MultipartBody.Builder()
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.setType(MultipartBody.FORM)
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.addFormDataPart("company", params.get("company"))
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.addFormDataPart("biz", params.get("biz"))
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.addFormDataPart("channel", params.get("channel"))
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.addFormDataPart("pdt", params.get("pdt"))
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.addFormDataPart("data", params.get("data"))
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.addFormDataPart("file", fileName[fileName.length-1],
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RequestBody.create(MediaType.parse("application/octet-stream"),
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file))
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.build();
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Request request = new Request.Builder()
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.url(url)
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.header("Content-Type", "multipart/form-data; boundary=" + boundary)
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.post(body)
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.build();
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Response response = client.newCall(request).execute();
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if (response.isSuccessful()) {
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System.out.println("数据推送成功");
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tbDataSendRecords.setSendResult("0");//发送结果 0成功 1失败
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System.out.println("File uploaded successfully."+response.toString());
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} else {
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System.out.println("数据推送失败");
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tbDataSendRecords.setSendResult("1");//发送结果 0成功 1失败
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System.out.println("Failed to upload file. Response code: " + response.code());
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}
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}catch (Exception e){
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System.out.println("数据推送失败"+e.getMessage());
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tbDataSendRecords.setSendResult("1");//发送结果 0成功 1失败
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}
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}
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//8.带标记实时播放地址(需鉴权 实时视频地址变动时)
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//HTTPS://ip:port/api/open/v1/ai/video/register/
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//煤矿企业编码 company String(12)
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//摄像头编码 biz String(5)
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//识别视频流名称/简称 name String(32)
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//视频接入协议 protocol String(12)
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//接入视频编码 raw_codec String(5)
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//实时视频地址 url String(128)
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public static void DataTransmissionCameraInfo(JSONObject paramJson,TbDataSendRecords tbDataSendRecords){
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//Map<String, String> params= JSONObject.parseObject(paramJson.toString(),Map.class);;
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//String respJson = HttpClientUtilHttps.doPost(SJURL+"/ai/video/register/",params, "UTF-8");
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String respJson = HttpUtils.sendJsonToHttpsPost(SJURL+"/ai/video/register/",paramJson.toString());
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JSONObject data = JSONObject.parseObject(respJson);
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if (data == null) {
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System.out.println("数据推送失败");
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tbDataSendRecords.setSendResult("1");//发送结果 0成功 1失败
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}else{
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System.out.println("数据推送成功"+data.toString());
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tbDataSendRecords.setSendResult("0");//发送结果 0成功 1失败
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}
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}
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//9.摄像头在线、离线检测信息(每 30秒一次)
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//HTTPS://ip:port/api/open/v1/probe/status/push/
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//煤矿企业编码 company String(12)
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//摄像头编码 biz_type String(5)
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//分析类型编码 channel String(2)
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//子系统采集类型 link_type 固定为 AI String(2)
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//采集传输频率 freq 固定为 0 String(1)
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//采集类型 freq_channel 固定为空字符串 int(1)
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//软件运行状态 status int(1) 摄像头离线时，推送值为 0，摄像头在线状态时，值为 1
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public static void DataTransmissionCameraStaus(JSONObject paramJson,TbDataSendRecords tbDataSendRecords){
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//Map<String, String> params= JSONObject.parseObject(paramJson.toString(),Map.class);;
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//String respJson = HttpClientUtilHttps.doPost(SJURL+"/ai/status/push/",params, "UTF-8");
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String respJson = HttpUtils.sendJsonToHttpsPost(SJURL+"/ai/status/push/",paramJson.toString());
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JSONObject data = JSONObject.parseObject(respJson);
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if (data == null) {
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System.out.println("数据推送失败");
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tbDataSendRecords.setSendResult("1");//发送结果 0成功 1失败
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}else{
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System.out.println("数据推送成功"+data.toString());
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tbDataSendRecords.setSendResult("0");//发送结果 0成功 1失败
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}
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}
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}
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