热力图

lizijie

2020-12-16 6bc5d130aa5b30aa6ea32f6c53bebe6fb9dc05f7

热力图

 src/main/java/com/moral/controller/ScreenController.java

@@ -180,6 +180,12 @@
    @Resource
    private DeviceAdjustValueTimingService deviceAdjustValueTimingService;

    @Resource
    private PollutioSourcePointService pollutioSourcePointService;

    @Resource
    private HistoryFiveMinutelyService historyFiveMinutelyService;

    /**
     * Screen login. 大屏登录
     *
@@ -2994,4 +3000,178 @@
        List<Device> devicesList = deviceService.getDevicesByAccountId(id);
        return devicesList;
    }

    @GetMapping("/unorganizedEmissionsFiveMinute")
    @ApiOperation(value = "无组织排放五分钟", notes = "无组织排放五分钟")
    @ApiImplicitParams(value = {
            @ApiImplicitParam(name = "monitorPointId", value = "公司Id", required = true, paramType = "query", dataType = "String"),
            @ApiImplicitParam(name = "sensorKey", value = "因子", required = true, paramType = "query", dataType = "String"),
            @ApiImplicitParam(name = "accountId", value = "用户id", required = false, paramType = "query", dataType = "String")})
    public ModelAndView unorganizedEmissionsBackupsV2(HttpServletRequest request, ModelAndView model) {
        Map<String, Object> parameters = WebUtils.getParametersStartingWith(request, null);
        String sensorKey = parameters.get("sensorKey").toString();
        //第一步，获取污染源点
        PollutionSourcePoint pollutionSourcePoint = pollutioSourcePointService.selectByMonitorPointId(539);
        //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<>();
        //pa.put("sensorKey","e1");
        pa.put("yearAndMonth","202012");
        pa.put("time","2020-12-03 10:10:00");
        List<String> macs = new ArrayList<>();
        List<String> sensorKeys = new ArrayList<>();
        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);
        List<Map<String, Object>> fiveMinuteDataList = historyFiveMinutelyService.getFiveMinutesSersorDataByMacsAndTime(pa);
        //声明数组，存放所有设备的数值
        double[] allDeviceData = new double[fiveMinuteDataList.size()];
        System.out.println(fiveMinuteDataList);
        int i = 0;
        //计算风向
        List<Map<String,Object>> windList = new ArrayList<>();
        for (Map map:fiveMinuteDataList) {
            String[] wind_speed = map.get("e18").toString().split(",");
            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()));
            windList.add(windMap);
            String[] sensorArr = map.get(sensorKey).toString().split(",");
            double sensorData = Double.parseDouble(sensorArr[0].substring(1,sensorArr[0].length()));
            allDeviceData[i] = sensorData;
            i = i+1;
        }
        //计算平均风向和风速
        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());
            //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);
        }
        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);
        }
        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()){
                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))){
                    fiveMinuteDataMap.putAll(fiveMinuteData);
                    break;
                }
            }
        }else {

        }
        Device referenceDevice = new Device();
        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];
        }
        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());
        //已知距离，角度，求x,y
        double x = Math.cos(minDisparity.get().getValue())*distance;
        double y = Math.sin(minDisparity.get().getValue())*distance;
        //获取设备的数值
        String[] fiveMinuteData = fiveMinuteDataMap.get("e21").toString().split(",");
        double c = Double.parseDouble(fiveMinuteData[0].substring(1,fiveMinuteData[0].length()))-deviceDataAvg;
        System.out.println(c);
        //计算源强
        double pollutionSourceIntensity = EmissionDataUtil.getPollutionSourceIntensity(c,x,y,res.get("wind_speed"));
        System.out.println(pollutionSourceIntensity);

        //存放地图中心点
        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);
        numericalValueList.add(numericalValueMap);
        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);
        numericalValueList.add(numericalValueMap3);
        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);
        numericalValueList.add(numericalValueMap5);
        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);
        numericalValueList.add(numericalValueMap7);
        System.out.println(numericalValueList.toString());


        JSONObject params = new JSONObject();
        params.put("accountId",190);
        params.put("level",17);
        params.put("center",center);
        params.put("points",numericalValueList);



        //获取公司信息
        //JSONObject params=monitorPointService.getMonitorPointById(monitPointId,Time,3,sensor);
        // model.addObject("params",params);
        model.addObject("params", params);
        model.setViewName("unorganizedMapV2");
        return model;
    }
}

 src/main/webapp/view/unorganizedMapV2.jsp

@@ -33,16 +33,31 @@
    var map = new BMap.Map("container", {minZoom: 14, maxZoom: 19});
    //var map = new BMap.Map("container");          // 创建地图实例

    var point = new BMap.Point(120.997119,31.451714);
    map.centerAndZoom(point, 17);    // 初始化地图，设置中心点坐标和地图级别
    var params = $.parseJSON($("#mapParams").html());
    var accountId = params["accountId"];
    var level = params["level"];
    var center = params["center"];
    var points2 = params["points"];

    var point = new BMap.Point(center['lng'],center['lat']);
    map.centerAndZoom(point, level);    // 初始化地图，设置中心点坐标和地图级别
    //map.setCurrentCity("安阳");        //设置当前显示城市
    map.enableScrollWheelZoom(); // 允许滚轮缩放

    var params = $.parseJSON($("#mapParams").html());
    var accountId = params["accountId"];
    alert(accountId);
    var points = [];
    for (var i =0;i<points2.length;i++) {
        var json;
        var a = points2[i];
        var b = a[''];
        json = {
            lng : a['lng'],
            lat : a['lat'],
            count : a['count']
        };
        points[i] = json;
    };

    var points =[
    /*var points =[
        {"lng":"120.997119","lat":"31.451714","count":"0.027"},
        {"lng":"120.99516","lat":"31.448664","count":"0.029"},
        {"lng":"120.998538","lat":"31.449289","count":"0.033"},
@@ -51,6 +66,7 @@
        {"lng":"120.999908","lat":"31.449389","count":"0.04"},
        {"lng":"120.998519","lat":"31.450588","count":"0.10"},
    ];
    alert(points[1]);*/

    var points1 =[