jinpengyong
2020-12-23 8fb013a6d6707929799e9f7a8a82f311cbca29ae
update大屏年,月数据查询接口
1 files modified
228 ■■■■ changed files
src/main/java/com/moral/controller/ScreenController.java 228 ●●●● patch | view | raw | blame | history
src/main/java/com/moral/controller/ScreenController.java
@@ -715,7 +715,6 @@
        String time1 = (String) parameters.get("time");
        time1 = time1.replaceAll(" ", "");
        parameters.put("time", time1);
        String mac1 = (String) parameters.get("mac");
        List<Map<String, Object>> list = null;
        if (mac1 != null && mac1.equals("p5dnd7a0392018") && time1.substring(0, 4).equals("2019")) {
@@ -730,38 +729,40 @@
                因为改动以前24点的数据是23-24,现在24点的数据是第二天0点的数据,
             */
            /*改动范围start-------------------------------------------------------------------------*/
            Iterator<Map<String, Object>> iterator = list.iterator();
            while (iterator.hasNext()) {
                Map<String, Object> next = iterator.next();
                String hour = next.get("time").toString().substring(11, 13);
                if ("00".equals(hour)) {
                    iterator.remove();
            Object type = parameters.get("type");
            if ("day".equals(type)) {
                Iterator<Map<String, Object>> iterator = list.iterator();
                while (iterator.hasNext()) {
                    Map<String, Object> next = iterator.next();
                    String hour = next.get("time").toString().substring(11, 13);
                    if ("00".equals(hour)) {
                        iterator.remove();
                    }
                }
            }
            SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
            SimpleDateFormat sdf2 = new SimpleDateFormat("yyyy-MM-dd");
            //获取全格式时间yyyy-MM-dd HH:mm:ss
            time1 = time1 + " 00:00:00";
            Date date = sdf.parse(time1);
            date = DateUtil.rollDay(date, 1);
            //将全格式时间截取
            String time2 = sdf2.format(date);
            parameters.put("time", time2);
            /*查询第二天0点的数据,以24点的形式存进集合中*/
            List<Map<String, Object>> nextDayList = historyMinutelyService.getMonitorPointOrDeviceAvgData(parameters);
            if (!ObjectUtils.isEmpty(nextDayList)) {
                time1 = time1.replaceAll(" 00:00:00", " 24");
                for (Map<String, Object> map : nextDayList) {
                    String time = map.get("time").toString().substring(11, 13);
                    if("00".equals(time)){
                        map.put("time", time1);
                        list.add(map);
                SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
                SimpleDateFormat sdf2 = new SimpleDateFormat("yyyy-MM-dd");
                //获取全格式时间yyyy-MM-dd HH:mm:ss
                time1 = time1 + " 00:00:00";
                Date date = sdf.parse(time1);
                date = DateUtil.rollDay(date, 1);
                //将全格式时间截取
                String time2 = sdf2.format(date);
                parameters.put("time", time2);
                /*查询第二天0点的数据,以24点的形式存进集合中*/
                List<Map<String, Object>> nextDayList = historyMinutelyService.getMonitorPointOrDeviceAvgData(parameters);
                if (!ObjectUtils.isEmpty(nextDayList)) {
                    time1 = time1.replaceAll(" 00:00:00", " 24");
                    for (Map<String, Object> map : nextDayList) {
                        String time = map.get("time").toString().substring(11, 13);
                        if ("00".equals(time)) {
                            map.put("time", time1);
                            list.add(map);
                        }
                    }
                }
            }
            /*改动范围end-------------------------------------------------------------------------*/
            for (Map<String, Object> map : list) {
                String time = map.get("time").toString();
                time = time.substring(time.length() - 2);
@@ -3047,7 +3048,7 @@
    @PostMapping("byAccountGetDevices")
    public List<Device> byAccountGetDevices(@RequestBody Map<String, Object> parameters) {
        String id =parameters.get("id").toString();
        String id = parameters.get("id").toString();
        List<Device> devicesList = deviceService.getDevicesByAccountId(id);
        return devicesList;
    }
@@ -3067,165 +3068,164 @@
        //获取站点的所有设备
        List<Device> deviceList = deviceService.getDevicesByMonitorPointId(539);
        //获取五分钟数据
        Map<String,Object> pa = new HashMap<>();
        Map<String, Object> pa = new HashMap<>();
        //获取开始时间和结束时间
        SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
        Calendar beforeTime = Calendar.getInstance();
        Date newTime = beforeTime.getTime();
        beforeTime.add(Calendar.MINUTE,-5);
        beforeTime.add(Calendar.MINUTE, -5);
        Date startTime = beforeTime.getTime();
        beforeTime.add(Calendar.MINUTE,6);
        beforeTime.add(Calendar.MINUTE, 6);
        Date endTime = beforeTime.getTime();
        //pa.put("sensorKey","e1");
        pa.put("yearAndMonth",sdf.format(newTime).substring(0,7).replace("-",""));
        pa.put("startTime",startTime);
        pa.put("endTime",endTime);
        pa.put("yearAndMonth", sdf.format(newTime).substring(0, 7).replace("-", ""));
        pa.put("startTime", startTime);
        pa.put("endTime", endTime);
        List<String> macs = new ArrayList<>();
        List<String> sensorKeys = new ArrayList<>();
        for (Device device:deviceList) {
        for (Device device : deviceList) {
            macs.add(device.getMac());
        }
        sensorKeys.add(sensorKey);
        sensorKeys.add("e18");
        sensorKeys.add("e23");
        pa.put("macs",macs);
        pa.put("sensorKeys",sensorKeys);
        pa.put("macNumber",macs.size());
        pa.put("macs", macs);
        pa.put("sensorKeys", sensorKeys);
        pa.put("macNumber", macs.size());
        List<Map<String, Object>> fiveMinuteDataList = historyFiveMinutelyService.getFiveMinutesDataByMacsAndTimeSolt(pa);
        //声明数组,存放所有设备的数值
        double[] allDeviceData = new double[fiveMinuteDataList.size()];
        int i = 0;
        //计算风向
        List<Map<String,Object>> windList = new ArrayList<>();
        for (Map map:fiveMinuteDataList) {
        List<Map<String, Object>> windList = new ArrayList<>();
        for (Map map : fiveMinuteDataList) {
            String[] wind_speed = map.get("e18").toString().split(",");
            if (!map.containsKey("e23")){
            if (!map.containsKey("e23")) {
                continue;
            }
            String[] wind_direction = map.get("e23").toString().split(",");
            Map<String,Object> windMap = new HashMap<>();
            windMap.put("wind_speed",wind_speed[0].substring(1,wind_speed[0].length()));
            windMap.put("wind_direction",wind_direction[0].substring(1,wind_direction[0].length()));
            Map<String, Object> windMap = new HashMap<>();
            windMap.put("wind_speed", wind_speed[0].substring(1, wind_speed[0].length()));
            windMap.put("wind_direction", wind_direction[0].substring(1, wind_direction[0].length()));
            windList.add(windMap);
            String[] sensorArr = map.get(sensorKey).toString().split(",");
            double sensorData = Double.parseDouble(sensorArr[0].substring(1,sensorArr[0].length()));
            double sensorData = Double.parseDouble(sensorArr[0].substring(1, sensorArr[0].length()));
            allDeviceData[i] = sensorData;
            i = i+1;
            i = i + 1;
        }
        //计算平均风向和风速
        Map<String,Double> res = WindUtils.getWind_direction_speed(windList);
        Map<String, Double> res = WindUtils.getWind_direction_speed(windList);
        //计算该站点的点与污染源点的角度
        Map<String,Double> angleMap = new HashMap();
        MyLatLng pollutionSourcePoint_log_lat = new MyLatLng(pollutionSourcePoint.getLongitude(),pollutionSourcePoint.getLatitude());
        for (Device device:deviceList) {
            MyLatLng device_log_lat = new MyLatLng(device.getLongitude(),device.getLatitude());
        Map<String, Double> angleMap = new HashMap();
        MyLatLng pollutionSourcePoint_log_lat = new MyLatLng(pollutionSourcePoint.getLongitude(), pollutionSourcePoint.getLatitude());
        for (Device device : deviceList) {
            MyLatLng device_log_lat = new MyLatLng(device.getLongitude(), device.getLatitude());
            //以设备为坐标原点,与污染源连线的角度
            double angle = mapUtils.getAngle(device_log_lat,pollutionSourcePoint_log_lat);
            angleMap.put(device.getMac(),angle);
            double angle = mapUtils.getAngle(device_log_lat, pollutionSourcePoint_log_lat);
            angleMap.put(device.getMac(), angle);
        }
        Map<String,Double> disparityMap = new HashMap<>();
        for (String key:angleMap.keySet()) {
            double angleDisparity = Math.abs(angleMap.get(key)-res.get("wind_direction"));
            if (angleDisparity>180){
                angleDisparity = 360-angleDisparity;
        Map<String, Double> disparityMap = new HashMap<>();
        for (String key : angleMap.keySet()) {
            double angleDisparity = Math.abs(angleMap.get(key) - res.get("wind_direction"));
            if (angleDisparity > 180) {
                angleDisparity = 360 - angleDisparity;
            }
            disparityMap.put(key,angleDisparity);
            disparityMap.put(key, angleDisparity);
        }
        Optional<Map.Entry<String, Double>> minDisparity = disparityMap.entrySet()
                .stream()
                .min(Map.Entry.comparingByValue());
        //留下的任务:循环disparityMap,查出与minDisparity相等的值的key,以防出现两个点的角度差一样
        List<String> minAngleDisparityMacList = new ArrayList<>();
        for (String key:disparityMap.keySet()) {
            if (disparityMap.get(key) == minDisparity.get().getValue()){
        for (String key : disparityMap.keySet()) {
            if (disparityMap.get(key) == minDisparity.get().getValue()) {
                minAngleDisparityMacList.add(minDisparity.get().getKey());
            }
        }
        //定义一个map,存放设备点
        Map<String,Object> fiveMinuteDataMap = new HashMap();
        if (minAngleDisparityMacList.size()<2){//只有一个点
            for (Map fiveMinuteData:fiveMinuteDataList) {
                if (fiveMinuteData.get("mac").toString().equals(minAngleDisparityMacList.get(0))){
        Map<String, Object> fiveMinuteDataMap = new HashMap();
        if (minAngleDisparityMacList.size() < 2) {//只有一个点
            for (Map fiveMinuteData : fiveMinuteDataList) {
                if (fiveMinuteData.get("mac").toString().equals(minAngleDisparityMacList.get(0))) {
                    fiveMinuteDataMap.putAll(fiveMinuteData);
                    break;
                }
            }
        }else {
        } else {
        }
        Device referenceDevice = new Device();
        for (Device device:deviceList) {
            if (device.getMac().equals(fiveMinuteDataMap.get("mac"))){
        for (Device device : deviceList) {
            if (device.getMac().equals(fiveMinuteDataMap.get("mac"))) {
                referenceDevice = device;
            }
        }
        //计算污染平均值
        double sum = 0;
        for (int j=0;j<allDeviceData.length;j++) {
            sum = sum+allDeviceData[j];
        for (int j = 0; j < allDeviceData.length; j++) {
            sum = sum + allDeviceData[j];
        }
        double deviceDataAvg = sum/allDeviceData.length;
        double deviceDataAvg = sum / allDeviceData.length;
        //计算污染源点与设备点之间的距离
        double distance = mapUtils.getDistance(pollutionSourcePoint.getLongitude(),pollutionSourcePoint.getLatitude(),referenceDevice.getLongitude(),referenceDevice.getLatitude());
        double distance = mapUtils.getDistance(pollutionSourcePoint.getLongitude(), pollutionSourcePoint.getLatitude(), referenceDevice.getLongitude(), referenceDevice.getLatitude());
        //已知距离,角度,求x,y
        double x = Math.cos(Math.toRadians(minDisparity.get().getValue()))*distance;
        double y = Math.sin(Math.toRadians(minDisparity.get().getValue()))*distance;
        double x = Math.cos(Math.toRadians(minDisparity.get().getValue())) * distance;
        double y = Math.sin(Math.toRadians(minDisparity.get().getValue())) * distance;
        //获取设备的数值
        String[] fiveMinuteData = fiveMinuteDataMap.get(sensorKey).toString().split(",");
        double c = Double.parseDouble(fiveMinuteData[0].substring(1,fiveMinuteData[0].length()))-deviceDataAvg;
        double c = Double.parseDouble(fiveMinuteData[0].substring(1, fiveMinuteData[0].length())) - deviceDataAvg;
        //计算源强
        double pollutionSourceIntensity = EmissionDataUtil.getPollutionSourceIntensity(c,x,y,res.get("wind_speed"));
        double pollutionSourceIntensity = EmissionDataUtil.getPollutionSourceIntensity(c, x, y, res.get("wind_speed"));
        //存放地图中心点
        Map<String,Object> center = new HashMap<>();
        center.put("lng",120.997119);
        center.put("lat",31.451714);
        Map<String, Object> center = new HashMap<>();
        center.put("lng", 120.997119);
        center.put("lat", 31.451714);
        //存放各个点位经纬度及数值
        List<Map<String,Double>> numericalValueList = new ArrayList<>();
        Map<String,Double> numericalValueMap = new HashMap<>();
        numericalValueMap.put("lng",120.997119);
        numericalValueMap.put("lat",31.451714);
        numericalValueMap.put("count",0.027);
        List<Map<String, Double>> numericalValueList = new ArrayList<>();
        Map<String, Double> numericalValueMap = new HashMap<>();
        numericalValueMap.put("lng", 120.997119);
        numericalValueMap.put("lat", 31.451714);
        numericalValueMap.put("count", 0.027);
        numericalValueList.add(numericalValueMap);
        Map<String,Double> numericalValueMap2 = new HashMap<>();
        numericalValueMap2.put("lng",120.99516);
        numericalValueMap2.put("lat",31.448664);
        numericalValueMap2.put("count",0.029);
        Map<String, Double> numericalValueMap2 = new HashMap<>();
        numericalValueMap2.put("lng", 120.99516);
        numericalValueMap2.put("lat", 31.448664);
        numericalValueMap2.put("count", 0.029);
        numericalValueList.add(numericalValueMap2);
        Map<String,Double> numericalValueMap3 = new HashMap<>();
        numericalValueMap3.put("lng",120.998538);
        numericalValueMap3.put("lat",31.449289);
        numericalValueMap3.put("count",0.033);
        Map<String, Double> numericalValueMap3 = new HashMap<>();
        numericalValueMap3.put("lng", 120.998538);
        numericalValueMap3.put("lat", 31.449289);
        numericalValueMap3.put("count", 0.033);
        numericalValueList.add(numericalValueMap3);
        Map<String,Double> numericalValueMap4 = new HashMap<>();
        numericalValueMap4.put("lng",120.998628);
        numericalValueMap4.put("lat",31.452027);
        numericalValueMap4.put("count",0.025);
        Map<String, Double> numericalValueMap4 = new HashMap<>();
        numericalValueMap4.put("lng", 120.998628);
        numericalValueMap4.put("lat", 31.452027);
        numericalValueMap4.put("count", 0.025);
        numericalValueList.add(numericalValueMap4);
        Map<String,Double> numericalValueMap5 = new HashMap<>();
        numericalValueMap5.put("lng",121.000383);
        numericalValueMap5.put("lat",31.451469);
        numericalValueMap5.put("count",0.05);
        Map<String, Double> numericalValueMap5 = new HashMap<>();
        numericalValueMap5.put("lng", 121.000383);
        numericalValueMap5.put("lat", 31.451469);
        numericalValueMap5.put("count", 0.05);
        numericalValueList.add(numericalValueMap5);
        Map<String,Double> numericalValueMap6 = new HashMap<>();
        numericalValueMap6.put("lng",120.999908);
        numericalValueMap6.put("lat",31.449389);
        numericalValueMap6.put("count",0.04);
        Map<String, Double> numericalValueMap6 = new HashMap<>();
        numericalValueMap6.put("lng", 120.999908);
        numericalValueMap6.put("lat", 31.449389);
        numericalValueMap6.put("count", 0.04);
        numericalValueList.add(numericalValueMap6);
        Map<String,Double> numericalValueMap7 = new HashMap<>();
        numericalValueMap7.put("lng",120.998519);
        numericalValueMap7.put("lat",31.450588);
        numericalValueMap7.put("count",0.10);
        Map<String, Double> numericalValueMap7 = new HashMap<>();
        numericalValueMap7.put("lng", 120.998519);
        numericalValueMap7.put("lat", 31.450588);
        numericalValueMap7.put("count", 0.10);
        numericalValueList.add(numericalValueMap7);
        JSONObject params = new JSONObject();
        params.put("accountId",190);
        params.put("level",17);
        params.put("center",center);
        params.put("points",numericalValueList);
        params.put("accountId", 190);
        params.put("level", 17);
        params.put("center", center);
        params.put("points", numericalValueList);
        //获取公司信息