‘liusuyi’
2023-08-22 77337135d875cf3ee046e7ca2e3992924d3b6e79
一键调度增加按多边形获取人车相机
已修改9个文件
311 ■■■■■ 文件已修改
ard-work/src/main/java/com/ruoyi/app/position/service/IArdAppPositionService.java 7 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
ard-work/src/main/java/com/ruoyi/app/position/service/impl/ArdAppPositionServiceImpl.java 44 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
ard-work/src/main/java/com/ruoyi/device/camera/service/IArdCamerasService.java 8 ●●●● 补丁 | 查看 | 原始文档 | blame | 历史
ard-work/src/main/java/com/ruoyi/device/camera/service/impl/ArdCamerasServiceImpl.java 54 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
ard-work/src/main/java/com/ruoyi/scheduling/controller/SchedulingController.java 14 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
ard-work/src/main/java/com/ruoyi/scheduling/domian/SchedulingParam.java 5 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
ard-work/src/main/java/com/ruoyi/sy/service/IArdSyCarService.java 4 ●●●● 补丁 | 查看 | 原始文档 | blame | 历史
ard-work/src/main/java/com/ruoyi/sy/service/impl/ArdSyCarServiceImpl.java 66 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
ard-work/src/main/java/com/ruoyi/utils/tools/GisTool.java 109 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
ard-work/src/main/java/com/ruoyi/app/position/service/IArdAppPositionService.java
@@ -73,4 +73,11 @@
     * 2023/8/17 13:56:36
     */
    public List<SysUser>getNearAppUsers(SchedulingParam param);
    /**
     * 获取封控圈内所有在线app用户(多边形)
     * 刘苏义
     * 2023/8/17 13:56:36
     */
    public List<SysUser>getNearAppUsersWithPolygon(SchedulingParam param);
}
ard-work/src/main/java/com/ruoyi/app/position/service/impl/ArdAppPositionServiceImpl.java
@@ -18,6 +18,7 @@
import javax.annotation.PostConstruct;
import javax.annotation.Resource;
import java.awt.geom.Point2D;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
@@ -172,5 +173,48 @@
        }
        return filteredList;
    }
    /**
     * 获取封控圈内所有在线app用户(多边形)
     * 刘苏义
     * 2023/8/17 13:56:36
     */
    @Override
    public List<SysUser> getNearAppUsersWithPolygon(SchedulingParam param) {
        List<SysUser> filteredList = new ArrayList<>();
        try {
            Long deptId = SecurityUtils.getLoginUser().getUser().getDeptId();
            List<Point2D> partitionLocation = param.getPartitionLocation();
            SysUser user = new SysUser();
            user.setDeptId(deptId);
            List<SysUser> appUserList = iSysUserService.selectAllAppUserList(user);
            //过滤在线
            List<SysUser> onLineList = appUserList.stream()
                    .filter(sysUser -> (sysUser.getAppOnlineState().equals("1")))
                    .collect(Collectors.toList());
            //过滤范围
            for (SysUser sysUser : onLineList) {
                ArdAppPosition ardAppPosition = ardAppPositionMapper.selectLastArdAppPositionByUserId(sysUser.getUserId());
                if (ardAppPosition != null) {
                    Double lon = ardAppPosition.getLongitude();
                    Double lat = ardAppPosition.getLatitude();
                    if (lon == null || lat == null) {
                        continue;
                    }
                    Point2D point2D=new Point2D.Double(lon,lat);
                    boolean inPolygon = GisTool.isInPolygon(point2D, partitionLocation);
                    if (inPolygon) {
                        Map<String, Object> params = new HashMap<>();
                        params.put("longitude", lon);
                        params.put("latitude", lat);
                        sysUser.setParams(params);
                        filteredList.add(sysUser); // 将满足条件的用户添加到筛选列表中
                    }
                }
            }
        } catch (Exception ex) {
            log.error("获取封控圈内所有在线app用户异常" + ex.getMessage());
        }
        return filteredList;
    }
}
ard-work/src/main/java/com/ruoyi/device/camera/service/IArdCamerasService.java
@@ -86,9 +86,15 @@
    public TreeMap getNearCamerasBycoordinate(CameraCmd cmd);
    /**
     * 获取监控圈内所有在线光电
     * 获取监控圈内所有在线光电(半径)
     * 刘苏义
     * 2023/8/17 13:56:36
     */
    List<ArdCameras> getNearCameras(SchedulingParam param);
    /**
     * 获取监控圈内所有在线光电(多边形)
     * 刘苏义
     * 2023/8/17 13:56:36
     */
    public List<ArdCameras> getNearCamerasWithPolygon(SchedulingParam param);
}
ard-work/src/main/java/com/ruoyi/device/camera/service/impl/ArdCamerasServiceImpl.java
@@ -1,5 +1,6 @@
package com.ruoyi.device.camera.service.impl;
import java.awt.geom.Point2D;
import java.time.LocalTime;
import java.util.*;
import java.util.stream.Collectors;
@@ -329,7 +330,58 @@
                double[] camPosition = new double[]{camera.getLongitude(), camera.getLatitude()};
                double distance = GisTool.getDistance(new double[]{longitude, latitude}, camPosition);
                if (distance <= radius) {
                    camera.setChanNo(ArdTool.getChannelBydayNightTime(dayNightTime));
                    /*获取通道列表*/
                    ArdChannel ardChannel=new ArdChannel();
                    ardChannel.setDeviceId(camera.getId());
                    List<ArdChannel> ardChannels = ardChannelMapper.selectArdChannelList(ardChannel);
                    camera.setChannelList(ardChannels);
                    ardCameras.add(camera);
                }
            }
            //过滤在线相机
            List<ArdCameras> onlineList = ardCameras.stream()
                    .filter(ardCamera -> (!ardCamera.getLoginId().equals(-1)))
                    .collect(Collectors.toList());
            return onlineList;
        } catch (Exception ex) {
            log.error("获取附近相机异常:" + ex.getMessage());
        }
        return null;
    }
    /**
     * 获取监控圈内所有在线光电
     * 刘苏义
     * 2023/8/17 13:57:21
     */
    @Override
    public List<ArdCameras> getNearCamerasWithPolygon(SchedulingParam param) {
        try {
            Long deptId=SecurityUtils.getLoginUser().getUser().getDeptId();
            List<Point2D> partitionLocation = param.getPartitionLocation();
            if(partitionLocation==null)
            {
                log.debug("多边形坐标集合为空");
                return null;
            }
            String dayNightTime = redisCache.getCacheObject("sys_config:dayNightTime");
            //获取所有光电(按部门)
            ArdCameras cameras= new ArdCameras();
            cameras.setDeptId(deptId);
            List<ArdCameras> ardCamerasList = ardCamerasMapper.selectArdCamerasList(cameras);
            List<ArdCameras> ardCameras = new ArrayList<>();
            for (ArdCameras camera : ardCamerasList) {
                if (camera.getLongitude() == null && camera.getLatitude() == null) {
                    continue;
                }
                /*判断坐标是否在多边形范围内*/
                Point2D camPosition=new Point2D.Double(camera.getLongitude(), camera.getLatitude());
                boolean inPolygon = GisTool.isInPolygon(camPosition, partitionLocation);
                if (inPolygon) {
                    /*获取通道列表*/
                    ArdChannel ardChannel=new ArdChannel();
                    ardChannel.setDeviceId(camera.getId());
                    List<ArdChannel> ardChannels = ardChannelMapper.selectArdChannelList(ardChannel);
                    camera.setChannelList(ardChannels);
                    ardCameras.add(camera);
                }
            }
ard-work/src/main/java/com/ruoyi/scheduling/controller/SchedulingController.java
@@ -38,7 +38,7 @@
    IArdAppPositionService iArdAppPositionService;
    @GetMapping("/getNearVehiPersonCam")
    @ApiOperation("获取附近的车人相机")
    @ApiOperation("获取附近的车人相机(半径)")
    AjaxResult getNearVehiPersonCam(SchedulingParam param) {
        Map<String, Object> nearMap = new HashMap<>();
@@ -51,4 +51,16 @@
        return AjaxResult.success(nearMap);
    }
    @GetMapping("/getPolygonVehiPersonCam")
    @ApiOperation("获取附近的车人相机(多边形)")
    AjaxResult getPolygonVehiPersonCam(SchedulingParam param) {
        Map<String, Object> nearMap = new HashMap<>();
        List<Map<String, Object>> Cars = iArdSyCarService.getNearCarWithPolygon(param);
        nearMap.put("car", Cars);
        List<ArdCameras> Cameras = iArdCamerasService.getNearCamerasWithPolygon(param);
        nearMap.put("camera", Cameras);
        List<SysUser> AppUsers = iArdAppPositionService.getNearAppUsersWithPolygon(param);
        nearMap.put("users", AppUsers);
        return AjaxResult.success(nearMap);
    }
}
ard-work/src/main/java/com/ruoyi/scheduling/domian/SchedulingParam.java
@@ -2,6 +2,9 @@
import lombok.Data;
import java.awt.geom.Point2D;
import java.util.List;
/**
 * @Description:
 * @ClassName: RequestParam
@@ -16,4 +19,6 @@
    Integer monitoringRadius;
    Double longitude;
    Double latitude;
    //多边形坐标集合
    List<Point2D> partitionLocation;
}
ard-work/src/main/java/com/ruoyi/sy/service/IArdSyCarService.java
@@ -139,4 +139,8 @@
     * 获取附近范围内的车辆信息
     * */
    List<Map<String, Object>> getNearCar(SchedulingParam param);
    /**
     * 获取附近范围内的车辆信息(多边形)
     * */
    List<Map<String, Object>> getNearCarWithPolygon(SchedulingParam param);
}
ard-work/src/main/java/com/ruoyi/sy/service/impl/ArdSyCarServiceImpl.java
@@ -1,5 +1,6 @@
package com.ruoyi.sy.service.impl;
import java.awt.geom.Point2D;
import java.io.IOException;
import java.io.InputStream;
import java.text.ParseException;
@@ -1032,7 +1033,6 @@
    /**
     * 获取附近范围内的车辆信息
     */
    @Override
    public List<Map<String, Object>> getNearCar(SchedulingParam param) {
        Double longitude = param.getLongitude();
@@ -1092,4 +1092,68 @@
        }
        return filteredList;
    }
    /**
     * 获取范围内的车辆信息(多边形)
     */
    @Override
    public List<Map<String, Object>> getNearCarWithPolygon(SchedulingParam param) {
        List<Map<String, Object>> filteredList = new ArrayList<>();
        try {
            List<Point2D> partitionLocation = param.getPartitionLocation();
            if (partitionLocation == null) {
                log.debug("多边形坐标集合为空");
                return null;
            }
            String userId = SecurityUtils.getUserId();
            ArdSyUser syUser = new ArdSyUser();
            syUser.setSysUserId(userId);
            List<ArdSyUser> ardSyUserList = ardSyUserMapper.selectArdSyUserList(syUser);
            if (ardSyUserList.size() == 0) {
                log.debug("用户未挂接三一车辆");
                return null;
            }
            ArdSyUser ardSyUser = ardSyUserList.get(0);
            String syUrl = redisCache.getCacheObject("sys_config:syCarPT");
            String passwordMd5 = DigestUtils.md5Hex(ardSyUser.getPassword());
            Map<String, Object> LogInResult = sYClient.logIn(syUrl, passwordMd5, ardSyUser.getUserId());
            String sessionId = (String) LogInResult.get("sessionId");
            Map<String, Object> teamList = sYClient.getTeamList(syUrl, ardSyUser.getUserId(), sessionId);
            List<Map<String, Object>> listMap = (List<Map<String, Object>>) teamList.get("list");
            List<Map<String, Object>> allList = new ArrayList<>();
            for (Map<String, Object> team : listMap) {
                String teamId = (String) team.get("teamId");
                Map<String, Object> carListMap = sYClient.getCarList1(syUrl, teamId, ardSyUser.getUserId(), sessionId);
                if (((String) carListMap.get("rspCode")).equals("1")) {
                    List<Map<String, Object>> list = (List<Map<String, Object>>) carListMap.get("list");
                    allList.addAll(list);
                }
            }
            //过滤在线车辆
            List<Map<String, Object>> onlineList = allList.stream()
                    .filter(map -> !"离线".equals(map.get("stateCn")))
                    .collect(Collectors.toList());
            //过滤半径
            for (Map<String, Object> carMap : onlineList) {
                String carId = (String) carMap.get("carId");
                Map<String, Object> carGPSTrack = sYClient.getCarNearPositionByCarId(syUrl, carId, ardSyUser.getUserId(), sessionId);
                List<Map<String, Object>> carGPSMap = (List<Map<String, Object>>) carGPSTrack.get("list");
                Double lng = Double.valueOf((String) carGPSMap.get(0).get("lng"));
                Double lat = Double.valueOf((String) carGPSMap.get(0).get("lat"));
                Point2D point2D = new Point2D.Double(lng, lat);
                boolean inPolygon = GisTool.isInPolygon(point2D, partitionLocation);
                if (inPolygon) {
                    carMap.put("longitude", lng);
                    carMap.put("latitude", lat);
                    filteredList.add(carMap); // 将满足条件的车辆添加到筛选列表中
                }
            }
        }
        catch (Exception ex)
        {
            log.error("获取范围内的车辆信息(多边形)异常:" + ex.getMessage());
        }
        return filteredList;
    }
}
ard-work/src/main/java/com/ruoyi/utils/tools/GisTool.java
@@ -4,6 +4,10 @@
import org.gavaghan.geodesy.GeodeticCalculator;
import org.gavaghan.geodesy.GlobalCoordinates;
import java.awt.geom.Point2D;
import java.util.ArrayList;
import java.util.List;
/**
 * @Description:
 * @ClassName: GisTool
@@ -29,4 +33,109 @@
        GlobalCoordinates target = new GlobalCoordinates(latitudeTo, longitudeTo);
        return geodeticCalculator.calculateGeodeticCurve(Ellipsoid.WGS84, source, target).getEllipsoidalDistance();
    }
    public static void main(String[] args) {
        // 被检测的经纬度点
        Point2D point2D= new Point2D.Double(126.649261,45.687377);
        // 商业区域(百度多边形区域经纬度集合)
        List<Point2D> partitionLocation = new ArrayList<>();
        partitionLocation.add(new Point2D.Double(126.64459,45.688548));
        partitionLocation.add(new Point2D.Double(126.653376,45.68938));
        partitionLocation.add(new Point2D.Double(126.645776,45.685048));
        partitionLocation.add(new Point2D.Double(126.654184,45.685778));
        System.out.println(isInPolygon(point2D,partitionLocation));
    }
    /**
     * 判断当前位置是否在多边形区域内
     * @param orderLocation 当前点
     * @param partitionLocation 区域顶点
     * @return
     */
    public static boolean isInPolygon(Point2D orderLocation,List<Point2D> partitionLocation){
        double p_x =orderLocation.getX();
        double p_y =orderLocation.getY();
        Point2D.Double point = new Point2D.Double(p_x, p_y);
        List<Point2D.Double> pointList= new ArrayList<Point2D.Double>();
        for (Point2D points : partitionLocation){
            double polygonPoint_x=points.getX();
            double polygonPoint_y=points.getY();
            Point2D.Double polygonPoint = new Point2D.Double(polygonPoint_x,polygonPoint_y);
            pointList.add(polygonPoint);
        }
        return IsPtInPoly(point,pointList);
    }
    /**
     * 判断点是否在多边形内,如果点位于多边形的顶点或边上,也算做点在多边形内,直接返回true
     * @param point 检测点
     * @param pts   多边形的顶点
     * @return      点在多边形内返回true,否则返回false
     */
    public static boolean IsPtInPoly(Point2D.Double point, List<Point2D.Double> pts){
        int N = pts.size();
        boolean boundOrVertex = true; //如果点位于多边形的顶点或边上,也算做点在多边形内,直接返回true
        int intersectCount = 0;//cross points count of x
        double precision = 2e-10; //浮点类型计算时候与0比较时候的容差
        Point2D.Double p1, p2;//neighbour bound vertices
        Point2D.Double p = point; //当前点
        p1 = pts.get(0);//left vertex
        for(int i = 1; i <= N; ++i){//check all rays
            if(p.equals(p1)){
                return boundOrVertex;//p is an vertex
            }
            p2 = pts.get(i % N);
            if(p.x < Math.min(p1.x, p2.x) || p.x > Math.max(p1.x, p2.x)){
                p1 = p2;
                continue;
            }
            if(p.x > Math.min(p1.x, p2.x) && p.x < Math.max(p1.x, p2.x)){
                if(p.y <= Math.max(p1.y, p2.y)){
                    if(p1.x == p2.x && p.y >= Math.min(p1.y, p2.y)){
                        return boundOrVertex;
                    }
                    if(p1.y == p2.y){
                        if(p1.y == p.y){
                            return boundOrVertex;
                        }else{//before ray
                            ++intersectCount;
                        }
                    }else{
                        double xinters = (p.x - p1.x) * (p2.y - p1.y) / (p2.x - p1.x) + p1.y;
                        if(Math.abs(p.y - xinters) < precision){
                            return boundOrVertex;
                        }
                        if(p.y < xinters){
                            ++intersectCount;
                        }
                    }
                }
            }else{
                if(p.x == p2.x && p.y <= p2.y){
                    Point2D.Double p3 = pts.get((i+1) % N);
                    if(p.x >= Math.min(p1.x, p3.x) && p.x <= Math.max(p1.x, p3.x)){
                        ++intersectCount;
                    }else{
                        intersectCount += 2;
                    }
                }
            }
            p1 = p2;
        }
        if(intersectCount % 2 == 0){//偶数在多边形外
            return false;
        } else { //奇数在多边形内
            return true;
        }
    }
}