| package com.moral.api.service.impl; | 
|   | 
| import com.alibaba.fastjson.JSON; | 
| import com.alibaba.fastjson.JSONObject; | 
| import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper; | 
| import com.moral.api.config.mybatis.MybatisPlusConfig; | 
| import com.moral.api.config.rest.Crc16Utils; | 
| import com.moral.api.entity.HistoryHourly; | 
| import com.moral.api.entity.Sensor; | 
| import com.moral.api.mapper.HistoryHourlyMapper; | 
| import com.moral.api.mapper.HistoryMinutelyMapper; | 
| import com.moral.api.service.HistoryHourlyService; | 
| import com.moral.api.service.SensorService; | 
| import com.moral.constant.Constants; | 
| import com.moral.constant.RedisConstants; | 
| import com.moral.constant.SeparateTableType; | 
| import com.moral.util.AmendUtils; | 
| import com.moral.util.DateUtils; | 
|   | 
| import com.moral.util.MybatisPLUSUtils; | 
|   | 
| import lombok.extern.slf4j.Slf4j; | 
| import org.apache.commons.httpclient.HttpClient; | 
| import org.apache.commons.httpclient.methods.PostMethod; | 
| import org.springframework.beans.factory.annotation.Autowired; | 
| import org.springframework.beans.factory.annotation.Value; | 
| import org.springframework.data.redis.core.RedisTemplate; | 
| import org.springframework.stereotype.Service; | 
| import org.springframework.util.ObjectUtils; | 
|   | 
| import java.io.*; | 
| import java.math.BigDecimal; | 
| import java.net.InetAddress; | 
| import java.net.InetSocketAddress; | 
| import java.net.Socket; | 
| import java.net.SocketAddress; | 
| import java.nio.charset.StandardCharsets; | 
| import java.util.*; | 
| import java.util.concurrent.atomic.AtomicInteger; | 
| import java.util.function.Supplier; | 
| import java.util.stream.Collectors; | 
| import java.util.stream.DoubleStream; | 
| import java.util.stream.Stream; | 
|   | 
| /** | 
|  * <p> | 
|  * 已校准小时表 服务实现类 | 
|  * </p> | 
|  * | 
|  * @author moral | 
|  * @since 2021-06-28 | 
|  */ | 
| @Service | 
| @Slf4j | 
| public class HistoryHourlyServiceImpl implements HistoryHourlyService { | 
|   | 
|     @Value("${result.date.changshu}") | 
|     private String dateChangShu; | 
|     @Autowired | 
|     private HistoryHourlyMapper historyHourlyMapper; | 
|   | 
|     @Autowired | 
|     private RedisTemplate redisTemplate; | 
|   | 
|     @Autowired | 
|     private HistoryMinutelyMapper historyMinutelyMapper; | 
|   | 
|     @Autowired | 
|     private SensorService sensorService; | 
|   | 
|     @Override | 
|     public void createTable(String timeUnits) { | 
|         historyHourlyMapper.createTable(timeUnits); | 
|     } | 
|   | 
|     @Override | 
|     public void createTableComplete(String timeUnits) { | 
|         historyHourlyMapper.createTableComplete(timeUnits); | 
|     } | 
|   | 
|     @Override | 
|     public void insertHistoryHourly() { | 
|         //时间格式化:yyyy-MM-dd HH:mm | 
|         String format = DateUtils.yyyy_MM_dd_HH_EN; | 
|   | 
|         //redis获取所有设备mac | 
|         Set<String> macs = redisTemplate.opsForHash().keys(RedisConstants.DEVICE); | 
|         //当前时间,到小时 | 
|         Date now = new Date(); | 
|         String time = DateUtils.dateToDateString(now, format) + ":00:00"; | 
|   | 
|         //查询数据库当前小时的条数,如果比macs小,说明需要数据补充 | 
|         Map<String, Object> prop = new HashMap<>(); | 
|         prop.put("timeUnits", DateUtils.getDateStringOfMon(0, DateUtils.yyyyMM_EN)); | 
|         prop.put("time", time); | 
|         Integer count = historyHourlyMapper.selectCountByTime(prop); | 
|   | 
|         if (macs.size() <= count) { | 
|             return; | 
|         } else { | 
|             macs.removeIf(mac -> { | 
|                 prop.put("mac", mac); | 
|                 Integer num = historyHourlyMapper.selectCountByTime(prop); | 
|                 return num != 0; | 
|             }); | 
|         } | 
|   | 
|         //开始时间 | 
|         String dateString = DateUtils.getDateStringOfHour(-1, format); | 
|         Date start = DateUtils.getDate(dateString, format); | 
|   | 
|         //结束时间 | 
|         Date end = DateUtils.dataToTimeStampTime(now, format); | 
|   | 
|         //从分钟表获取数据的分钟表后缀 | 
|         String timeUnits = DateUtils.dateToDateString(start, DateUtils.yyyyMM_EN); | 
|   | 
|         //因子 | 
|         QueryWrapper<Sensor> sensorQueryWrapper = new QueryWrapper<>(); | 
|         sensorQueryWrapper.select("code", "lower", "upper").eq("is_delete", Constants.NOT_DELETE); | 
|         List<Sensor> sensors = sensorService.list(sensorQueryWrapper); | 
|   | 
|         //从数据库数据库获取数据的参数 | 
|         Map<String, Object> params = new HashMap<>(); | 
|         params.put("timeUnits", timeUnits); | 
|         params.put("start", start); | 
|         params.put("end", end); | 
|         params.put("macs", macs); | 
|         //获取所有设备的1小时内的数据 | 
|         List<Map<String, Object>> hourlyData = historyMinutelyMapper.getHistoryMinutelyData(params); | 
|         if (hourlyData.size() == 0) { | 
|             return; | 
|         } | 
|   | 
|         //按mac分组 | 
|         Map<String, List<Map<String, Object>>> data = hourlyData.parallelStream() | 
|                 .collect(Collectors.groupingBy(o -> (String) o.get("mac"))); | 
|   | 
|         //存入数据库的结果集 | 
|         List<Map<String, Object>> insertData = new ArrayList<>(); | 
|   | 
|         data.forEach((key, value) -> { | 
|             Map<String, Object> historyHourly = new HashMap<>(); | 
|             historyHourly.put("mac", key); | 
|             historyHourly.put("time", end); | 
|   | 
|             Map<String, Object> jsonMap = new HashMap<>(); | 
|             Map<String, Object> map = new HashMap<>(); | 
|             map.put("data", value); | 
|             map.put("type", "hour"); | 
|   | 
|             for (Sensor sensor : sensors) { | 
|                 String sensorCode = sensor.getCode(); | 
|   | 
|                 //风向上下限 | 
|                 if (sensorCode.equals(Constants.SENSOR_CODE_WIND_DIR)) { | 
|                     if (sensor.getUpper() != null) { | 
|                         map.put("windDirUpper", sensor.getUpper()); | 
|                     } | 
|                     if (sensor.getLower() != null) { | 
|                         map.put("windDirLower", sensor.getLower()); | 
|                     } | 
|                 } | 
|   | 
|                 //风速上下限 | 
|                 if (sensorCode.equals(Constants.SENSOR_CODE_WIND_SPEED)) { | 
|                     if (sensor.getUpper() != null) { | 
|                         map.put("windSpeedUpper", sensor.getUpper()); | 
|                     } | 
|                     if (sensor.getLower() != null) { | 
|                         map.put("windSpeedLower", sensor.getLower()); | 
|                     } | 
|                 } | 
|             } | 
|   | 
|             //风向均值计算并修约 | 
|             Map<String, Object> windDirAvg = AmendUtils.getWindDirAvg(map); | 
|             if (!ObjectUtils.isEmpty(windDirAvg)) { | 
|                 jsonMap.putAll(windDirAvg); | 
|             } | 
|   | 
|             //除风向外其他因子均值计算 | 
|             sensors.forEach(sensor -> { | 
|                 String sensorCode = sensor.getCode(); | 
|                 Double upper = sensor.getUpper(); | 
|                 Double lower = sensor.getLower(); | 
|                 AtomicInteger size = new AtomicInteger(); | 
|                 DoubleStream optionalDouble = value.parallelStream() | 
|                         .flatMapToDouble(v -> { | 
|                             Map<String, Object> dataValue = JSONObject.parseObject((String) v.get("value"), Map.class); | 
|                             Object sensorValue = dataValue.get(sensorCode); | 
|                             //数据有效性标记位 | 
|                             Object flag = dataValue.get(sensorCode + "-" + Constants.MARKER_BIT_KEY); | 
|                             if (!Constants.MARKER_BIT_TRUE.equals(flag)) { | 
|                                 return null; | 
|                             } | 
|   | 
|                             if (ObjectUtils.isEmpty(sensorValue)) { | 
|                                 return null; | 
|                             } | 
|   | 
|                             //风向单独计算 | 
|                             if (Constants.SENSOR_CODE_WIND_DIR.equals(sensorCode)) { | 
|                                 return null; | 
|                             } | 
|   | 
|                             //剔除数据超过上下限的数据 | 
|                             double aDouble = Double.parseDouble(sensorValue.toString()); | 
|                             if (!ObjectUtils.isEmpty(upper)) { | 
|                                 if (aDouble < upper) { | 
|                                     return null; | 
|                                 } | 
|                             } | 
|                             if (!ObjectUtils.isEmpty(lower)) { | 
|                                 if (aDouble > lower) { | 
|                                     return null; | 
|                                 } | 
|                             } | 
|                             size.getAndIncrement(); | 
|                             return DoubleStream.of(aDouble); | 
|                         }); | 
|                 OptionalDouble average = optionalDouble.average(); | 
|                 if (average.isPresent()) { | 
|                     //银行家算法修约 | 
|                     double sciCal = AmendUtils.sciCal(average.getAsDouble(), 4); | 
|                     jsonMap.put(sensorCode, sciCal); | 
|                     //标志位 | 
|                     if (size.get() >= 45) { | 
|                         jsonMap.put(sensorCode + "-" + Constants.MARKER_BIT_KEY, Constants.MARKER_BIT_TRUE); | 
|                     } else { | 
|                         jsonMap.put(sensorCode + "-" + Constants.MARKER_BIT_KEY, Constants.MARKER_BIT_FALSE); | 
|                     } | 
|                 } | 
|             }); | 
|             historyHourly.put("version", value.get(0).get("version")); | 
|             historyHourly.put("value", JSONObject.toJSONString(jsonMap)); | 
|             insertData.add(historyHourly); | 
|         }); | 
|   | 
|         //存入小时表 | 
|         historyHourlyMapper.insertHistoryHourly(insertData); | 
|     } | 
|   | 
|     @Override | 
|     public List<Map<String, Object>> selectDailyData(Map<String, Object> params) { | 
|         return historyHourlyMapper.selectDailyData(params); | 
|     } | 
|   | 
|     /** | 
|      * @Description: 查询一段时间内某一mac的数据 | 
|      * @Param: [mac, startDate, endDate] | 
|      * @return: java.util.List<com.moral.api.entity.HistoryHourly> | 
|      * @Author: 陈凯裕 | 
|      * @Date: 2021/9/23 | 
|      */ | 
|     @Override | 
|     public List<HistoryHourly> getValueByMacAndTime(String mac, Date startDate, Date endDate) { | 
|         QueryWrapper<HistoryHourly> wrapper = new QueryWrapper<>(); | 
|         wrapper.eq("mac", mac); | 
|         wrapper.between("time", startDate, endDate); | 
|         List<String> tableNames = MybatisPLUSUtils.getTableNamesByWrapper(startDate, endDate, SeparateTableType.MONTH); | 
|         List<HistoryHourly> datas = multiTableQuery(wrapper, tableNames); | 
|         return datas; | 
|     } | 
|   | 
|     @Override | 
|     public void insertHistoryHourlyComplete() { | 
|         //时间格式化:yyyy-MM-dd HH:mm | 
|         String format = DateUtils.yyyy_MM_dd_HH_EN; | 
|         Date now = new Date(); | 
|   | 
|         //从数据库获取数据参数 | 
|         Map<String, Object> params = new HashMap<>(); | 
|         //开始时间 | 
|         Date start = DateUtils.dataToTimeStampTime(DateUtils.addHours(now, -1), format); | 
|         //结束时间 | 
|         Date end = DateUtils.dataToTimeStampTime(now, format); | 
|         params.put("start", start); | 
|         params.put("end", end); | 
|         //获取数据的分钟表后缀 | 
|         String timeUnits = DateUtils.dateToDateString(start, DateUtils.yyyyMM_EN); | 
|         params.put("timeUnits", timeUnits); | 
|   | 
|         //因子 | 
|         QueryWrapper<Sensor> sensorQueryWrapper = new QueryWrapper<>(); | 
|         sensorQueryWrapper.select("code", "lower", "upper").eq("is_delete", Constants.NOT_DELETE); | 
|         List<Sensor> sensors = sensorService.list(sensorQueryWrapper); | 
|   | 
|         //获取所有设备的一小时内的数据 | 
|         List<Map<String, Object>> hourlyData = historyMinutelyMapper.getHourlyData(params); | 
|         if (ObjectUtils.isEmpty(hourlyData)) { | 
|             return; | 
|         } | 
|   | 
|         //按mac分组 | 
|         Map<String, List<Map<String, Object>>> data = hourlyData.parallelStream() | 
|                 .collect(Collectors.groupingBy(o -> (String) o.get("mac"))); | 
|   | 
|         //存入数据库的结果集 | 
|         List<Map<String, Object>> insertData = new ArrayList<>(); | 
|   | 
|         data.forEach((key, value) -> { | 
|             Map<String, Object> dataMap = new HashMap<>(); | 
|             dataMap.put("mac", key); | 
|             dataMap.put("time", start); | 
|             Map<String, Object> jsonMap = new HashMap<>(); | 
|   | 
|   | 
|             Map<String, Object> map = new HashMap<>(); | 
|             map.put("data", value); | 
|             map.put("type", "hourlyComplete"); | 
|             for (Sensor sensor : sensors) { | 
|                 String sensorCode = sensor.getCode(); | 
|   | 
|                 //风向上下限 | 
|                 if (sensorCode.equals(Constants.SENSOR_CODE_WIND_DIR)) { | 
|                     if (sensor.getUpper() != null) { | 
|                         map.put("windDirUpper", sensor.getUpper()); | 
|                     } | 
|                     if (sensor.getLower() != null) { | 
|                         map.put("windDirLower", sensor.getLower()); | 
|                     } | 
|                 } | 
|   | 
|                 //风速上下限 | 
|                 if (sensorCode.equals(Constants.SENSOR_CODE_WIND_SPEED)) { | 
|                     if (sensor.getUpper() != null) { | 
|                         map.put("windSpeedUpper", sensor.getUpper()); | 
|                     } | 
|                     if (sensor.getLower() != null) { | 
|                         map.put("windSpeedLower", sensor.getLower()); | 
|                     } | 
|                 } | 
|             } | 
|             Supplier<Stream<Map<String, Object>>> streamSupplier = () -> value.stream(); | 
|             //均值,最大值,最小值计算 | 
|             sensors.forEach(sensor -> { | 
|                 Double avg = calculatedValue(streamSupplier, sensor, "avg"); | 
|                 if (Constants.SENSOR_CODE_WIND_DIR.equals(sensor.getCode())) { | 
|                     //风向均值计算并修约 | 
|                     Map<String, Object> windDirAvg = AmendUtils.getWindDirAvg(map); | 
|                     if (!ObjectUtils.isEmpty(windDirAvg)) { | 
|                         avg = (Double) windDirAvg.get(Constants.SENSOR_CODE_WIND_DIR); | 
|                     } | 
|                 } | 
|                 Double min = calculatedValue(streamSupplier, sensor, "min"); | 
|                 Double max = calculatedValue(streamSupplier, sensor, "max"); | 
|                 List<Double> doubles = new ArrayList<>(3); | 
|                 if (avg != null && min != null && max != null) { | 
|                     doubles.add(avg); | 
|                     doubles.add(min); | 
|                     doubles.add(max); | 
|                     jsonMap.put(sensor.getCode(), doubles); | 
|                 } | 
|             }); | 
|             dataMap.put("value", JSONObject.toJSONString(jsonMap)); | 
|             insertData.add(dataMap); | 
|         }); | 
|   | 
|         //后缀 | 
|         String insertTimeUnits = DateUtils.dateToDateString(start, DateUtils.yyyyMM_EN); | 
|         //存入数据库 | 
|         historyHourlyMapper.insertHistoryHourlyComplete(insertData, insertTimeUnits); | 
|     } | 
|   | 
|     /** | 
|      * @Description: 多表查询,传入表名集合,以及条件wrapper,返回数据 | 
|      * @Param: [wrapper, tableNames] | 
|      * @return: java.util.List<com.moral.api.entity.HistoryHourly> | 
|      * @Author: 陈凯裕 | 
|      * @Date: 2021/9/23 | 
|      */ | 
|     private List<HistoryHourly> multiTableQuery(QueryWrapper<HistoryHourly> wrapper, List<String> tableNames) { | 
|         List<HistoryHourly> result = new ArrayList<>(); | 
|         for (String tableName : tableNames) { | 
|             MybatisPlusConfig.tableName.set(tableName); | 
|             List<HistoryHourly> datas = historyHourlyMapper.selectList(wrapper); | 
|             result.addAll(datas); | 
|         } | 
|         MybatisPlusConfig.tableName.remove(); | 
|         return result; | 
|     } | 
|   | 
|     //最大值,最小值,平均值计算 | 
|     private Double calculatedValue(Supplier<Stream<Map<String, Object>>> supplier, Sensor sensor, String type) { | 
|         String sensorCode = sensor.getCode(); | 
|         Double upper = sensor.getUpper(); | 
|         Double lower = sensor.getLower(); | 
|         DoubleStream doubleStream = supplier.get() | 
|                 .flatMapToDouble(v -> { | 
|                     Map<String, Object> dataValue = JSONObject.parseObject((String) v.get("value"), Map.class); | 
|                     Object sensorValue = dataValue.get(sensorCode); | 
|                     //数据有效性标记位 | 
|                     Object flag = dataValue.get(sensorCode + "-" + Constants.MARKER_BIT_KEY); | 
|                     if (!Constants.MARKER_BIT_TRUE.equals(flag)) { | 
|                         return null; | 
|                     } | 
|   | 
|                     if (ObjectUtils.isEmpty(sensorValue)) { | 
|                         return null; | 
|                     } | 
|                     //风向单独计算 | 
|                     if ("avg".equals(type) && Constants.SENSOR_CODE_WIND_DIR.equals(sensorCode)) { | 
|                         return null; | 
|                     } | 
|                     //剔除数据超过上下限的数据 | 
|                     double aDouble = Double.parseDouble(sensorValue.toString()); | 
|                     if (!ObjectUtils.isEmpty(upper)) { | 
|                         if (aDouble > upper) { | 
|                             return null; | 
|                         } | 
|                     } | 
|                     if (!ObjectUtils.isEmpty(lower)) { | 
|                         if (aDouble < lower) { | 
|                             return null; | 
|                         } | 
|                     } | 
|                     return DoubleStream.of(aDouble); | 
|                 }); | 
|         OptionalDouble average = null; | 
|         if ("avg".equals(type)) { | 
|             average = doubleStream.average(); | 
|         } else if ("min".equals(type)) { | 
|             average = doubleStream.min(); | 
|         } else if ("max".equals(type)) { | 
|             average = doubleStream.max(); | 
|         } | 
|   | 
|         if (average.isPresent()) { | 
|             //银行家算法修约 | 
|             return AmendUtils.sciCal(average.getAsDouble(), 4); | 
|         } | 
|         return null; | 
|     } | 
|   | 
|     @Override | 
|     public void dateToChangShu(String time) { | 
|         //获取所有设备小时数据 | 
|         Date end = new Date(); | 
|         List<String> stringList = Arrays.asList(dateChangShu.split(",")); | 
|         String startTime = DateUtils.dateToDateString(DateUtils.addHours(end,-1),DateUtils.yyyy_MM_dd_HH_EN)+":00:00"; | 
|         Map<String, Object> prop = new HashMap<>(); | 
|         String timeUnits = DateUtils.dateToDateString(end, DateUtils.yyyyMM_EN); | 
|         prop.put("timeUnits", timeUnits); | 
|         prop.put("start", startTime); | 
|         prop.put("end", DateUtils.dateToDateString(end,DateUtils.yyyy_MM_dd_HH_EN)+":00:00"); | 
|         prop.put("list", stringList); | 
|         List<Map<String, Object>> dailyData = this.selectDailyData(prop); | 
|         String startTimeStr = DateUtils.dateToDateString(DateUtils.addHours(end,-1),"yyyyMMddHH")+"0000"; | 
|         List<String> list = new ArrayList<>(); | 
|   | 
|         for(Map<String, Object> m : dailyData){ | 
|             String result = strList(startTimeStr,m.get("mac").toString(),m.get("value").toString()); | 
|             list.add(result); | 
|             redisTemplate.opsForHash().delete(RedisConstants.DATE_CHANG_SHU,m.get("mac").toString()); | 
|             redisTemplate.opsForHash().put(RedisConstants.DATE_CHANG_SHU,m.get("mac").toString(),result); | 
|         } | 
|         for(String s : list){ | 
|             sendSocket("222.92.166.238",15031,s); | 
|         } | 
|         log.info("发送完成"); | 
|     } | 
|   | 
|     private String strList(String startTime,String mn,String msg){ | 
|         String qn = "QN="+ startTime + "001;ST=22;CN=2061;PW=123456;MN="+mn.toUpperCase()+";CP=&&DataTime="+startTime+";"; | 
|         Map<String, Object> data = JSON.parseObject(msg, Map.class); | 
|         StringBuffer stringBuffer = new StringBuffer(); | 
|         if(data.size()>0){ | 
|             data.remove("mac"); | 
|             data.remove("time"); | 
|             for(Map.Entry<String, Object> entry : data.entrySet()){ | 
|                 String mapKey = entry.getKey(); | 
|                 Object mapValue = entry.getValue(); | 
|                 if(mapKey.contains("e")){ | 
|                     if(mapKey.contains("a00e12")||mapKey.contains("a00e13")){ | 
|   | 
|                     }else { | 
|                         continue; | 
|                     } | 
|   | 
|                 } | 
|                 if(!mapKey.contains("-Flag")){ | 
|                     if(mapKey.contains("a34002")||mapKey.contains("a34004")||mapKey.contains("a21026")||mapKey.contains("a21004")||mapKey.contains("a05024")){ | 
|                         BigDecimal d = Objects.nonNull(mapValue)? BigDecimal.valueOf(Double.valueOf(mapValue.toString())).divide(BigDecimal.valueOf(1000)):BigDecimal.ZERO; | 
|                        mapValue = d.toString(); | 
|                     } | 
|                     if(mapKey.contains("a00e13")){ | 
|                         mapKey = "a90085"; | 
|                     } | 
|                     stringBuffer.append(mapKey+"-Avg=").append(mapValue+",").append(mapKey+"-Flag=N;"); | 
|                 } | 
|   | 
|             } | 
|         } | 
|         stringBuffer.deleteCharAt(stringBuffer.length()-1); | 
|         stringBuffer.append("&&"); | 
|         //String result = "QN=20230726160000001;ST=22;CN=2061;PW=123456;MN=P5DND7A0391978;CP=&&DataTime=20230726160000;a21005-Avg=0.03072,a21005-Flag=N;a21004-Avg=20.6,a21004-Flag=N;a21026-Avg=140.43,a21026-Flag=N;a21028-Avg=0.00778,a21028-Flag=N;a21001-Avg=0.13132,a21001-Flag=N;a01001-Avg=38.68,a01001-Flag=N;a05024-Avg=116.27,a05024-Flag=N;a01002-Avg=57.47,a01002-Flag=N;a01007-Avg=0.864,a01007-Flag=N;a01006-Avg=811.918,a01006-Flag=N;a01008-Avg=156.66,a01008-Flag=N;a34002-Avg=9.18,a34002-Flag=N;a34004-Avg=8.1,a34004-Flag=N;a99054-Avg=0.02283,a99054-Flag=N;a31001-Avg=0,a31001-Flag=N&&"; | 
|   | 
|         String result = qn+stringBuffer.toString(); | 
|   | 
|         String s = Crc16Utils.padLeftTest(String.valueOf(result.length()),4,null); | 
|         String s1 = Crc16Utils.crc16_2017(result, result.length()); | 
|         return  "##"+s+result+s1+"\r\n"; | 
|     } | 
|   | 
|     private static String sendSocket(String host, Integer port, String message) { | 
|         log.debug("请求地址:{},端口:{},报文:{}", host, port, message); | 
|         Socket socket = null; | 
|         OutputStream outputStream = null; | 
|         InputStream inputStream = null; | 
|         BufferedReader bufferedReader = null; | 
|         try { | 
|             socket = new Socket(host, port); | 
|             socket.setSoTimeout(3000); | 
|             // 建立连接后获得输出流 | 
|             outputStream = socket.getOutputStream(); | 
|             outputStream.write(message.getBytes()); | 
|             outputStream.flush(); | 
|             socket.shutdownOutput(); | 
|             inputStream = socket.getInputStream(); | 
|             bufferedReader = new BufferedReader(new InputStreamReader(inputStream)); | 
|             String readLen=bufferedReader.readLine(); | 
|             log.debug("响应报文:{}", readLen); | 
|             return readLen; | 
|         } catch (IOException e) { | 
|             log.error("socket发送异常:{}", e.toString()); | 
|         } finally { | 
|             try { | 
|                     if(bufferedReader != null){ | 
|                     bufferedReader.close(); | 
|                 } | 
|                 if (inputStream != null) { | 
|                     inputStream.close(); | 
|                 } | 
|                 if (outputStream != null) { | 
|                     outputStream.close(); | 
|                 } | 
|                 if (socket != null) { | 
|                     socket.close(); | 
|                 } | 
|             } catch (IOException e) { | 
|                 log.error("socket关闭异常:{}", e.toString()); | 
|             } | 
|         } | 
|         return null; | 
|     } | 
|   | 
| } |