package com.moral.api.service.impl;
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import com.baomidou.mybatisplus.core.conditions.update.UpdateWrapper;
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import com.googlecode.aviator.AviatorEvaluator;
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import com.googlecode.aviator.Expression;
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import com.moral.api.entity.Device;
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import com.moral.api.service.DeviceService;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.beans.factory.annotation.Value;
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import org.springframework.data.redis.core.RedisTemplate;
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import org.springframework.stereotype.Service;
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import org.springframework.transaction.annotation.Transactional;
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import org.springframework.util.CollectionUtils;
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import org.springframework.util.ObjectUtils;
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import java.util.*;
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import java.util.stream.Collectors;
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import java.util.stream.DoubleStream;
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import com.alibaba.fastjson.JSONObject;
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import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
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import com.moral.api.entity.Sensor;
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import com.moral.api.mapper.HistoryFiveMinutelyMapper;
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import com.moral.api.mapper.HistoryMinutelyMapper;
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import com.moral.api.service.HistoryFiveMinutelyService;
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import com.moral.api.service.SensorService;
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import com.moral.constant.Constants;
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import com.moral.constant.RedisConstants;
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import com.moral.util.AmendUtils;
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import com.moral.util.DateUtils;
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import org.springframework.util.StringUtils;
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@Service
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public class HistoryFiveMinutelyServiceImpl implements HistoryFiveMinutelyService {
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@Value("${result.device.list}")
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private String deviceList;
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@Autowired
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private HistoryFiveMinutelyMapper historyFiveMinutelyMapper;
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@Autowired
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private HistoryMinutelyMapper historyMinutelyMapper;
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@Autowired
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private SensorService sensorService;
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@Autowired
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private RedisTemplate redisTemplate;
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@Autowired
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private DeviceService deviceService;
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@Override
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public void createTable(String timeUnits) {
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historyFiveMinutelyMapper.createTable(timeUnits);
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}
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@Override
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@Transactional
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public void insertHistoryFiveMinutely() {
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//时间格式化：yyyy-MM-dd HH:mm
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String format = DateUtils.yyyy_MM_dd_HH_mm_EN;
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Date now = new Date();
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now = DateUtils.getFiveMinuteDate(now);
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//从数据库获取数据参数
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Map<String, Object> params = new HashMap<>();
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//开始时间
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Date start = DateUtils.dataToTimeStampTime(DateUtils.getDateOfMin(now, -5), format);
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//结束时间
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Date end = DateUtils.dataToTimeStampTime(now, format);
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params.put("start", start);
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params.put("end", end);
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//获取数据的分钟表后缀
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String timeUnits = DateUtils.dateToDateString(start, DateUtils.yyyyMM_EN);
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params.put("timeUnits", timeUnits);
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//因子
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QueryWrapper<Sensor> sensorQueryWrapper = new QueryWrapper<>();
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sensorQueryWrapper.select("code", "lower", "upper").eq("is_delete", Constants.NOT_DELETE);
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List<Sensor> sensors = sensorService.list(sensorQueryWrapper);
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//获取所有设备的5分钟内的数据
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List<Map<String, Object>> fiveMinutelyData = historyMinutelyMapper.getHistoryMinutelyData(params);
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if (fiveMinutelyData.size() == 0) {
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return;
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}
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listDistDeviceState(params);
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//按mac分组
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Map<String, List<Map<String, Object>>> data = fiveMinutelyData.parallelStream()
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.collect(Collectors.groupingBy(o -> (String) o.get("mac")));
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//存入数据库的结果集
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List<Map<String, Object>> insertData = new ArrayList<>();
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data.forEach((key, value) -> {
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Map<String, Object> dataMap = new HashMap<>();
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dataMap.put("mac", key);
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dataMap.put("time", start);
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Map<String, Object> jsonMap = new HashMap<>();
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Map<String, Object> map = new HashMap<>();
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map.put("data", value);
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map.put("type", "fiveMinutes");
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for (Sensor sensor : sensors) {
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String sensorCode = sensor.getCode();
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//风向上下限
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if (sensorCode.equals(Constants.SENSOR_CODE_WIND_DIR)) {
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if (sensor.getUpper() != null) {
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map.put("windDirUpper", sensor.getUpper());
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}
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if (sensor.getLower() != null) {
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map.put("windDirLower", sensor.getLower());
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}
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}
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//风速上下限
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if (sensorCode.equals(Constants.SENSOR_CODE_WIND_SPEED)) {
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if (sensor.getUpper() != null) {
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map.put("windSpeedUpper", sensor.getUpper());
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}
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if (sensor.getLower() != null) {
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map.put("windSpeedLower", sensor.getLower());
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}
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}
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}
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//风向均值计算并修约
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Map<String, Object> windDirAvg = AmendUtils.getWindDirAvg(map);
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if (!ObjectUtils.isEmpty(windDirAvg)) {
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jsonMap.putAll(windDirAvg);
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}
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//除风向外其他因子均值计算
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sensors.forEach(sensor -> {
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String sensorCode = sensor.getCode();
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Double upper = sensor.getUpper();
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Double lower = sensor.getLower();
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DoubleStream optionalDouble = value.parallelStream()
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.flatMapToDouble(v -> {
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Map<String, Object> dataValue = JSONObject.parseObject((String) v.get("value"), Map.class);
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Object sensorValue = dataValue.get(sensorCode);
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//数据有效性标记位
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Object flag = dataValue.get(sensorCode + "-" + Constants.MARKER_BIT_KEY);
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if (!Constants.MARKER_BIT_TRUE.equals(flag)) {
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return null;
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}
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if (ObjectUtils.isEmpty(sensorValue)) {
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return null;
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}
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//风向单独计算
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if (Constants.SENSOR_CODE_WIND_DIR.equals(sensorCode)) {
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return null;
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}
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//剔除数据超过上下限的数据
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double aDouble = Double.parseDouble(sensorValue.toString());
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if (!ObjectUtils.isEmpty(upper)) {
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if (aDouble > upper) {
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return null;
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}
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}
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if (!ObjectUtils.isEmpty(lower)) {
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if (aDouble < lower) {
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return null;
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}
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}
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return DoubleStream.of(aDouble);
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});
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OptionalDouble average = optionalDouble.average();
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if (average.isPresent()) {
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//银行家算法修约
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double sciCal = AmendUtils.sciCal(average.getAsDouble(), 4);
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jsonMap.put(sensorCode, sciCal);
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}
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});
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dataMap.put("value", JSONObject.toJSONString(jsonMap));
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//存入redis
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jsonMap.put("dataTime", DateUtils.dateToDateString(start));
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redisTemplate.opsForHash().put(RedisConstants.DATA_FIVE_MINUTES, key, jsonMap);
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insertData.add(dataMap);
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judgeDeviceState(key,jsonMap);
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});
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//5分钟表后缀
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String insertTimeUnits = DateUtils.dateToDateString(start, DateUtils.yyyyMM_EN);
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//存入数据库
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historyFiveMinutelyMapper.insertHistoryFiveMinutely(insertData, insertTimeUnits);
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}
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// 修改设备状态
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private void judgeDeviceState(String mac,Map<String, Object> dataMap){
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Device device = (Device) redisTemplate.opsForHash().get(RedisConstants.DEVICE_INFO, mac);
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List<Sensor> sensors = device.getVersion().getSensors();
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Expression expression;
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int state = 1;
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for (Sensor sensor : sensors) {
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//因子报警等级
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String alarmLevel = sensor.getAlarmLevel();
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if (StringUtils.isEmpty(alarmLevel)) {
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continue;
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}
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List<Object> list = JSONObject.parseObject(alarmLevel, List.class);
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String sensorCode = sensor.getCode();
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//转换公式
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String formula = sensor.getFormula();
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//设备所传因子与配置型号因子不一致的处理逻辑
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if (dataMap.get(sensorCode) != null) {
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String sensorValue = String.valueOf(dataMap.get(sensorCode));
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double value = Double.parseDouble(sensorValue);
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if (formula != null) {
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//转换后因子值
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sensorValue = formula.replace("{0}", sensorValue);
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expression = AviatorEvaluator.compile(sensorValue);
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value = Double.parseDouble(expression.execute().toString());
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}
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int sensorState = judgeState(list, value);
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if (sensorState > state) {
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state = sensorState;
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}
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}
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}
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//修改设备状态
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Device devices = new Device();
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devices.setId(device.getId());
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devices.setState(String.valueOf(state));
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deviceService.updateById(devices);
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}
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private int judgeState(List<Object> levels, Double data) {
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int state = 1;
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for (int i = levels.size() - 1; i >= 0; i--) {
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Double level = Double.parseDouble(levels.get(i).toString());
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if (data >= level) {
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state = i + 2;
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break;
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}
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}
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return state;
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}
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private void listDistDeviceState(Map<String, Object> params){
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QueryWrapper<Device> queryWrapper = new QueryWrapper<>();
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queryWrapper.eq("is_delete",Constants.NOT_DELETE);
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//获取所有在线设备
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List<Device> devices = deviceService.list(queryWrapper);
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List<String> macOldList = devices.stream().map(Device::getMac).collect(Collectors.toList());
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List<String> macList = historyMinutelyMapper.getHistoryMinutelyMacData(params);
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if(!CollectionUtils.isEmpty(macOldList)){
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List<String> listDictDevice = Arrays.asList(deviceList.split(","));
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List<String> list2 = macOldList.stream().filter(e -> !listDictDevice.contains(e)).collect(Collectors.toList());
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List<String> list3 = list2.stream().filter(e -> !macList.contains(e)).collect(Collectors.toList());
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List<Integer> idList = devices.stream().filter(e->list3.contains(e.getMac())).map(Device::getId).collect(Collectors.toList());
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for(Integer i : idList){
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Device device = new Device();
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device.setId(i);
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device.setState(Constants.DEVICE_STATE_OFFLINE);
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deviceService.updateById(device);
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}
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}
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}
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@Override
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public void insertHistoryFiveMinutely(String yz, String mac) {
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String format = DateUtils.yyyy_MM_dd_HH_mm_EN;
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Date now = new Date();
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now = DateUtils.getFiveMinuteDate(now);
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//从数据库获取数据参数
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Map<String, Object> params = new HashMap<>();
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//开始时间
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Date start = DateUtils.dataToTimeStampTime(DateUtils.getDateOfMin(now, -5), format);
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//结束时间
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Date end = DateUtils.dataToTimeStampTime(now, format);
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params.put("start", start);
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params.put("end", end);
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//获取数据的分钟表后缀
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String timeUnits = DateUtils.dateToDateString(start, DateUtils.yyyyMM_EN);
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params.put("timeUnits", timeUnits);
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/*if(!StringUtils.isEmpty(mac)){
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params.put("macs", Arrays.asList(mac));
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}*/
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//因子
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QueryWrapper<Sensor> sensorQueryWrapper = new QueryWrapper<>();
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sensorQueryWrapper.select("code", "lower", "upper").eq("is_delete", Constants.NOT_DELETE);
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/*if(!StringUtils.isEmpty(yz)){
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sensorQueryWrapper.eq("code",yz);
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}*/
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List<Sensor> sensors = sensorService.list(sensorQueryWrapper);
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//获取所有设备的5分钟内的数据
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List<Map<String, Object>> fiveMinutelyData = historyMinutelyMapper.getHistoryMinutelyData(params);
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if (fiveMinutelyData.size() == 0) {
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return;
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}
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listDistDeviceState(params);
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//按mac分组
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Map<String, List<Map<String, Object>>> data = fiveMinutelyData.parallelStream()
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.collect(Collectors.groupingBy(o -> (String) o.get("mac")));
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//存入数据库的结果集
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List<Map<String, Object>> insertData = new ArrayList<>();
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data.forEach((key, value) -> {
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Map<String, Object> dataMap = new HashMap<>();
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dataMap.put("mac", key);
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dataMap.put("time", start);
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Map<String, Object> jsonMap = new HashMap<>();
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Map<String, Object> map = new HashMap<>();
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map.put("data", value);
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map.put("type", "fiveMinutes");
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for (Sensor sensor : sensors) {
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String sensorCode = sensor.getCode();
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//风向上下限
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if (sensorCode.equals(Constants.SENSOR_CODE_WIND_DIR)) {
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if (sensor.getUpper() != null) {
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map.put("windDirUpper", sensor.getUpper());
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}
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if (sensor.getLower() != null) {
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map.put("windDirLower", sensor.getLower());
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}
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}
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//风速上下限
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if (sensorCode.equals(Constants.SENSOR_CODE_WIND_SPEED)) {
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if (sensor.getUpper() != null) {
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map.put("windSpeedUpper", sensor.getUpper());
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}
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if (sensor.getLower() != null) {
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map.put("windSpeedLower", sensor.getLower());
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}
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}
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}
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//风向均值计算并修约
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Map<String, Object> windDirAvg = AmendUtils.getWindDirAvg(map);
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if (!ObjectUtils.isEmpty(windDirAvg)) {
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jsonMap.putAll(windDirAvg);
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}
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//除风向外其他因子均值计算
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sensors.forEach(sensor -> {
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String sensorCode = sensor.getCode();
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Double upper = sensor.getUpper();
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Double lower = sensor.getLower();
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DoubleStream optionalDouble = value.parallelStream()
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.flatMapToDouble(v -> {
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Map<String, Object> dataValue = JSONObject.parseObject((String) v.get("value"), Map.class);
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Object sensorValue = dataValue.get(sensorCode);
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//数据有效性标记位
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Object flag = dataValue.get(sensorCode + "-" + Constants.MARKER_BIT_KEY);
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if (!Constants.MARKER_BIT_TRUE.equals(flag)) {
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return null;
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}
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if (ObjectUtils.isEmpty(sensorValue)) {
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return null;
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}
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//风向单独计算
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if (Constants.SENSOR_CODE_WIND_DIR.equals(sensorCode)) {
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return null;
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}
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//剔除数据超过上下限的数据
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double aDouble = Double.parseDouble(sensorValue.toString());
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if (!ObjectUtils.isEmpty(upper)) {
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if (aDouble > upper) {
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return null;
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}
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}
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if (!ObjectUtils.isEmpty(lower)) {
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if (aDouble < lower) {
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return null;
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}
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}
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return DoubleStream.of(aDouble);
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});
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OptionalDouble average = optionalDouble.average();
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if (average.isPresent()) {
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//银行家算法修约
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double sciCal = AmendUtils.sciCal(average.getAsDouble(), 4);
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jsonMap.put(sensorCode, sciCal);
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}
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});
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dataMap.put("value", JSONObject.toJSONString(jsonMap));
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//存入redis
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jsonMap.put("dataTime", DateUtils.dateToDateString(start));
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// redisTemplate.opsForHash().put(RedisConstants.DATA_FIVE_MINUTES, key, jsonMap);
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//insertData.add(dataMap);
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judgeDeviceState(key,jsonMap);
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System.out.println(dataMap);
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});
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}
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}
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