1、上个算法导致不出单点解——找到bug,selectOne的条件少了limit 1
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@ -63,9 +63,6 @@ public class GNSSCalcFilterService {
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public boolean isGoodGnssData(GnssCalcData newRecord, double[] referPos, List<GnssCalcData> gnssHistoryRecords,
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float xyThreshold, float zThreshold, boolean isAdvFilter) {
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boolean isGood = true;
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// 检查是不是坏点
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GnssCalcData record0 = null;
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if(gnssHistoryRecords.size()>0) record0 = gnssHistoryRecords.get(0);
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@ -75,26 +72,25 @@ public class GNSSCalcFilterService {
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if(Math.abs(record0.getB562e() - newRecord.getB562e())<0.001) {
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return false;
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}
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//和上一个点相比,超过门限则认为无效
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if (Math.abs(newRecord.getB562e() - record0.getB562e()) > xyThreshold ||
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Math.abs(newRecord.getB562n() - record0.getB562n()) > xyThreshold ||
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Math.abs(newRecord.getB562d() - record0.getB562d()) > zThreshold) {
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isGood = false; //记录为坏点,下次不参与滤波
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logger.debug("{} bad point",newRecord.getDeviceid());
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}
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// 如果是好点,对于增强算法还需做进一步判断
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if(isGood && isAdvFilter){
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//和参考点比,如果是坏点,再和前二个点比如果还是坏点才认为是坏点
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isGood =(referPos!=null && (Math.abs(newRecord.getB562e() - referPos[0]) <= xyThreshold &&
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Math.abs(newRecord.getB562n() - referPos[1]) <= xyThreshold &&
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Math.abs(newRecord.getB562d() - referPos[2]) <= zThreshold));
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if(!isGood){
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// 和最近一个滤波值相比,判断是否是好点
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boolean isGood =(referPos!=null && (Math.abs(newRecord.getB562e() - referPos[0]) <= xyThreshold &&
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Math.abs(newRecord.getB562n() - referPos[1]) <= xyThreshold &&
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Math.abs(newRecord.getB562d() - referPos[2]) <= zThreshold));
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logger.debug("{} point judge {}",newRecord.getDeviceid(), isGood);
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//如果和参考点比无效,则和上一个点相比
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if(!isGood) {
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isGood =(Math.abs(newRecord.getB562e() - record0.getB562e()) <= xyThreshold &&
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Math.abs(newRecord.getB562n() - record0.getB562n()) <= xyThreshold &&
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Math.abs(newRecord.getB562d() - record0.getB562d()) <= zThreshold);
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// 如果是好点,对于增强算法还需和前2个比较
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if(isGood && isAdvFilter){
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GnssCalcData record1 = null;
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if (gnssHistoryRecords.size() > 1) record1 = gnssHistoryRecords.get(1);
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isGood =(record1 == null ||
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((Math.abs(newRecord.getB562e() - record1.getB562e()) <= xyThreshold &&
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(Math.abs(newRecord.getB562e() - record1.getB562e()) <= xyThreshold &&
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Math.abs(newRecord.getB562n() - record1.getB562n()) <= xyThreshold &&
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Math.abs(newRecord.getB562d() - record1.getB562d()) <= zThreshold)));
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Math.abs(newRecord.getB562d() - record1.getB562d()) <= zThreshold));
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}
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logger.debug("{} point adv judge {}",newRecord.getDeviceid(), isGood);
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}
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@ -215,7 +215,8 @@ public class SingleLineGNSSCalcService implements GNSSDataCalcService {
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// pps
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locationRecord.setPps(focusCalculator.getAvgDelayMs());
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// 滤波后的结果
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gnssCalcFilterService.calc(device, groupCalc, locationRecord, referPos);
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double[] latestRpos = getLatestRpos(deviceId);
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gnssCalcFilterService.calc(device, groupCalc, locationRecord, latestRpos);
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// 记录本次位置,作为下次的参考
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// 算法1:以上轮位置作为参考,跟随变化速度快
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@ -226,8 +227,7 @@ public class SingleLineGNSSCalcService implements GNSSDataCalcService {
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new double[]{locationRecord.getRpose(),locationRecord.getRposn(),locationRecord.getRposd()});
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}
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else if(focusCalculator.getReferPoint() == null){
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double[] latestPos = getLatestPos(deviceId);
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if(latestPos != null) focusCalculator.setReferPoint(latestPos);
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if(latestRpos != null) focusCalculator.setReferPoint(latestRpos);
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else focusCalculator.setReferPoint(b562Result);
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}
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}
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@ -292,12 +292,13 @@ public class SingleLineGNSSCalcService implements GNSSDataCalcService {
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logger.info("device paras changed");
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}
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double[] getLatestPos(String deviceId){
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double[] getLatestRpos(String deviceId){
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QueryWrapper<GnssCalcData> queryWrapper = new QueryWrapper<>();
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queryWrapper.eq("deviceid",deviceId);
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queryWrapper.ge("createtime",LocalDateTime.now().minusHours(12));
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queryWrapper.isNotNull("rpose");
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queryWrapper.orderByDesc("createtime");
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queryWrapper.last("limit 1");
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GnssCalcData gnssCalcData = dataMapper.selectOne(queryWrapper);
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if(gnssCalcData != null){
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logger.info("{} getLatestPos", deviceId);
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