输出解题思路及代码实现到一个类中并将代码按功能点进行拆分 每步代码上方要有注释。现已根据统计条件中的开始结束日期查出过车记录集合ListAnalysisJudgmentVehicleVO并已按照gcsj升序排序AnalysisJudgmentVehicleVO属性有sbidsbmchpzlhphmgcsj均为String类型。1根据过车记录将数据按照hpzl+hphm进行分组用lamda表达式处理

public class AnalysisJudgmentVehicle {

/**
 * 根据过车记录，将数据按照hpzl+hphm进行分组
 * @param list 过车记录集合
 * @return 分组后的过车记录Map
 */
public Map<String, List<AnalysisJudgmentVehicleVO>> groupByHpzlHphm(List<AnalysisJudgmentVehicleVO> list) {
    Map<String, List<AnalysisJudgmentVehicleVO>> map = list.stream()
            .collect(Collectors.groupingBy(vo -> vo.getHpzl() + vo.getHphm()));
    return map;
}

/**
 * 比较两个过车记录之间的时间间隔是否小于x分钟
 * @param vo1 过车记录1
 * @param vo2 过车记录2
 * @param x 时间间隔，单位为分钟
 * @return 是否小于x分钟
 */
public boolean isWithinXMinutes(AnalysisJudgmentVehicleVO vo1, AnalysisJudgmentVehicleVO vo2, int x) {
    LocalDateTime time1 = LocalDateTime.parse(vo1.getGcsj(), DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss"));
    LocalDateTime time2 = LocalDateTime.parse(vo2.getGcsj(), DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss"));
    long seconds = Duration.between(time1, time2).getSeconds();
    return seconds < x * 60;
}

/**
 * 对分组后的过车记录进行计算，得到伴随车辆列表
 * @param map 分组后的过车记录Map
 * @param x 时间间隔，单位为分钟
 * @param y 连续通过相同设备的次数
 * @return 伴随车辆列表
 */
public List<AnalysisJudgmentVehicleWithFollowVO> calculateFollowVehicles(Map<String, List<AnalysisJudgmentVehicleVO>> map, int x, int y) {
    List<AnalysisJudgmentVehicleWithFollowVO> followList = new ArrayList<>();
    for (String key : map.keySet()) {
        List<AnalysisJudgmentVehicleVO> groupList = map.get(key);
        for (int i = 0; i < groupList.size(); i++) {
            AnalysisJudgmentVehicleVO vo1 = groupList.get(i);
            for (int j = i + 1; j < groupList.size(); j++) {
                AnalysisJudgmentVehicleVO vo2 = groupList.get(j);
                if (vo1.getSbid().equals(vo2.getSbid())) {
                    continue;
                }
                int count = 1;
                List<VehDeviceVO> deviceList = new ArrayList<>();
                deviceList.add(new VehDeviceVO(vo1.getSbid(), vo1.getSbmc()));
                LocalDateTime firstTime = LocalDateTime.parse(vo1.getGcsj(), DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss"));
                LocalDateTime lastTime = LocalDateTime.parse(vo2.getGcsj(), DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss"));
                for (int k = j + 1; k < groupList.size(); k++) {
                    AnalysisJudgmentVehicleVO vo3 = groupList.get(k);
                    if (vo2.getSbid().equals(vo3.getSbid())) {
                        if (isWithinXMinutes(vo2, vo3, x)) {
                            count++;
                            deviceList.add(new VehDeviceVO(vo3.getSbid(), vo3.getSbmc()));
                            lastTime = LocalDateTime.parse(vo3.getGcsj(), DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss"));
                        } else {
                            break;
                        }
                        if (count >= y) {
                            AnalysisJudgmentVehicleWithFollowVO followVO = new AnalysisJudgmentVehicleWithFollowVO();
                            followVO.setHpzl(vo1.getHpzl());
                            followVO.setHphm(vo1.getHphm());
                            followVO.setBscHpzl(vo2.getHpzl());
                            followVO.setBscHphm(vo2.getHphm());
                            followVO.setBssj(String.valueOf(Duration.between(firstTime, lastTime).toMinutes()));
                            followVO.setDeviceList(deviceList);
                            followList.add(followVO);
                            break;
                        }
                    }
                }
            }
        }
    }
    return followList;
}