GPSExample of control network adjustment
Data file format description:
GPSThere is only one data at the beginning of the network data file, that is, the prior unit weight mean square error,The unit is cm. Not less than 5 consecutive lines“=”Is separated by an equal sign separator, followed by a known point. Mark a line of equal sign separator, followed by vector group arrangement.
Vector groups are also separated by an equal sign separator. The baseline vector in each vector group and its variance covariance matrix shall have at least 5 consecutive lines“-”The minus separator separates.
Data is separated by commas or tabs or spaces or semicolons. The first character of the roll call must be a letter or a number.
GPSThere is only one data at the beginning of the network data file, that is, the prior unit weight mean square error,The unit is cm. Not less than 5 consecutive lines“=”Is separated by an equal sign separator, followed by a known point. Mark a line of equal sign separator, followed by vector group arrangement.
Vector groups are also separated by an equal sign separator. The baseline vector in each vector group and its variance covariance matrix shall have at least 5 consecutive lines“-”The minus separator separates.
Data is separated by commas or tabs or spaces or semicolons. The first character of the roll call must be a letter or a number.
Mean square error of prior unit weight(cm)
====================
【Known points]
====================
【Vector group 1]
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【Variance covariance matrix 1]
====================
【Vector group 2]
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【Variance covariance matrix 2]
====================
......
u0(cm)
====================
Roll call X(m) Y(m) Z(m)
====================
Start point name End name Dx(m) Dy(m) Dz(m)
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Triangular matrix under variance covariance
====================
Start point name End name Dx(m) Dy(m) Dz(m)
--------------------
Triangular matrix under variance covariance
====================
......
Copy the following data and save it in a text file with a random file name, such as "abc1.txt”。
14.5 =============== WS4 -2048309.426 4541447.998 5177111.964 WS5 -2048506.933 4543252.035 5177123.148 ==================== WS3 WS4 839.038 473.753 -1986.657 WS3 WS5 641.531 2277.791 -1975.474 WS3 WS6 132.386 1510.657 -1007.731 ------------------ 6.3396911132e-006 1.1809400872e-006 3.0943590502e-005 1.1930651032e-006 2.5863358272e-006 3.9872357602e-005 -2.7152222542e-006 7.3433362552e-007 1.9793949262e-006 6.2396595642e-006 2.0864626772e-006 3.5379830222e-006 6.3842181942e-007 4.6992692002e-006 5.6764614702e-005 2.0778529432e-006 6.3264486102e-007 3.0096394792e-006 1.1882910502e-006 7.1870396302e-006 3.9763527792e-005 5.2031676972e-007 3.1071707532e-006 3.6751809722e-006 3.7099006952e-006 1.4163872362e-006 2.9798854482e-006 4.5246833812e-005 1.5308953912e-006 3.5742147032e-006 1.7041776482e-006 1.0750128442e-006 3.5402763942e-006 1.3912037792e-006 2.0191935622e-006 8.2753290792e-006 -1.8670146442e-006 6.3521300642e-007 2.9448371282e-006 7.8266156502e-007 6.3957527842e-007 3.0720447102e-006 3.5517325702e-006 1.8254365532e-006 0450338452e-005 ===================== WS6 WS5 509.145 767.234 -967.742 WS6 WS3 -132.386 -1510.557 1007.731 ------------------- 7.1499747112e-006 3.5066797892e-006 6.3458120852e-006 2.3105755952e-006 6.5622054022e-007 1.2937179792e-005 4.5527136102e-006 7.6009002042e-007 2.0879282352e-006 5.4401065242e-005 3.0649090402e-006 2.7574826902e-006 4.0781138552e-006 2.7732173872e-006 6.8564861392e-006 6.7033132302e-007 5.0702590222e-006 8.1561227572e-007 1.9942904022e-006 2.0179739482e-006 5.1815899502e-005 ========================== WS4 WS3 -839.038 -473.753 1986.657 WS4 WS6 -706.652 1036.804 978.925 ---------------- 5.5275265202e-006 1.8927923032e-006 8.5143640482e-006 1.1609796272e-006 2.6631894252e-006 4.4151056052e-006 3.4713356172e-006 3.1551395302e-006 2.2289704932e-006 1.2206391472e-005 2.2459294872e-006 1.1937381472e-006 2.5412192182e-006 3.6756988652e-006 5.2991841712e-006 4.2484793922e-006 4.5403075162e-006 9.5219743892e-007 3.9479027192e-006 1.3166465522e-006 7.4109152452e-006
Then run the "GPS control network adjustment" software and select "classic adjustment"→Browse to the file to open→Submit to get the following results:
GPSAdjustment results of control network
Adjustment method:[Classical adjustment]
Mean square error of prior unit weight=±14.5cm
Mean square error of unit weight=±803.95cm
Known point
| Roll call | X(m) | Y(m) | Z(m) |
| WS4 | -2048309.426 | 4541447.998 | 5177111.964 |
| WS5 | -2048506.933 | 4543252.035 | 5177123.148 |
Hold point
| Roll call | X(m) | Y(m) | Z(m) | Mx(cm) | My(cm) | Mz(cm) |
| WS3 | -2049148.4554 | 4540974.2331 | 5179098.6255 | 0.81 | 1.23 | 1.27 |
| WS6 | -2049016.0656 | 4542484.8195 | 5178090.8912 | 1.50 | 1.12 | 1.22 |
（Note: Mx, My and Mz are the mean square error of the corresponding three coordinate components.）
Vector observation results
| Start point name | End name | Dx(m) | Dy(m) | Dz(m) | vx(cm) | vy(cm) | vz(cm) | wx | wy | wz |
| WS3 | WS4 | 839.0380 | 473.7530 | -1986.6570 | -0.86 | 1.19 | -0.45 | -0.46 | 0.28 | -0.09 |
| WS3 | WS5 | 641.5310 | 2277.7910 | -1975.4740 | -0.86 | 1.09 | -0.35 | -0.47 | 0.18 | -0.07 |
| WS3 | WS6 | 132.3860 | 1510.6570 | -1007.7310 | 0.38 | -7.06 | -0.33 | 0.07 | -3.57 | -0.10 |
| WS6 | WS5 | 509.1450 | 767.2340 | -967.7420 | -1.24 | -1.85 | -0.12 | -0.80 | -1.09 | -0.04 |
| WS6 | WS3 | -132.3860 | -1510.5570 | 1007.7310 | -0.38 | -2.94 | 0.33 | -0.07 | -1.70 | 0.06 |
| WS4 | WS3 | -839.0380 | -473.7530 | 1986.6570 | 0.86 | -1.19 | 0.45 | 0.50 | -0.60 | 0.40 |
| WS4 | WS6 | -706.6520 | 1036.8040 | 978.9250 | 1.24 | 1.75 | 0.22 | 0.52 | 1.19 | 0.12 |
（Note: "w" refers to the measurement of data detection method. Its red value indicates that the vector may contain gross errors.）
Vector observation results(Continued)
| Start point name | End name | Excess x | Redundant y | Redundant z | Lower bound x(cm) | Lower bound y(cm) | Lower bound z(cm) | Inner x | Inner y | Inner z | Outer x | Outer y | Outer z |
| WS3 | WS4 | 1.35 | 0.98 | 0.99 | 5.67 | 18.07 | 20.41 | 3.56 | 4.17 | 4.14 | 2.10 | 0.55 | 0.31 |
| WS3 | WS5 | 1.37 | 1.12 | 1.00 | 5.53 | 21.92 | 20.21 | 3.53 | 3.91 | 4.12 | 2.15 | 1.34 | 0.22 |
| WS3 | WS6 | 1.00 | 0.89 | 0.89 | 21.24 | 9.17 | 15.10 | 4.12 | 4.38 | 4.39 | 0.25 | 1.45 | 1.48 |
| WS6 | WS5 | 0.84 | 1.16 | 1.05 | 7.59 | 6.00 | 10.33 | 4.51 | 3.83 | 4.04 | 1.81 | 1.54 | 0.88 |
| WS6 | WS3 | 1.00 | 1.07 | 1.02 | 23.64 | 6.68 | 22.43 | 4.14 | 3.99 | 4.09 | 0.24 | 1.05 | 0.60 |
| WS4 | WS3 | 1.80 | 1.42 | 0.76 | 3.91 | 5.78 | 6.08 | 3.08 | 3.46 | 4.75 | 2.75 | 2.25 | 2.35 |
| WS4 | WS6 | 1.06 | 1.13 | 1.91 | 9.26 | 5.39 | 3.92 | 4.01 | 3.89 | 2.99 | 0.98 | 1.39 | 2.85 |
（Note: "Redundant" refers to redundant components, "lower bound" refers to the lower bound of gross error, "inner" refers to internal reliability index, and "outer" refers to external reliability index.）
If "robust estimation" is selected→Browse to the file to open→Submit to get the following results:
GPSAdjustment results of control network
Adjustment method:[Robust estimation]
Mean square error of prior unit weight=±14.5cm
Mean square error of unit weight=±9.33cm
Known point
| Roll call | X(m) | Y(m) | Z(m) |
| WS4 | -2048309.426 | 4541447.998 | 5177111.964 |
| WS5 | -2048506.933 | 4543252.035 | 5177123.148 |
Hold point
| Roll call | X(m) | Y(m) | Z(m) | Mx(cm) | My(cm) | Mz(cm) |
| WS3 | -2049148.4640 | 4540974.2449 | 5179098.6205 | 0.01 | 0.02 | 0.02 |
| WS6 | -2049016.0780 | 4542484.8017 | 5178090.8892 | 0.02 | 0.02 | 0.02 |
（Note: Mx, My and Mz are the mean square error of the corresponding three coordinate components.）
Vector observation results
| Start point name | End name | Dx(m) | Dy(m) | Dz(m) | vx(cm) | vy(cm) | vz(cm) | wx | wy | wz |
| WS3 | WS4 | 839.0380 | 473.7530 | -1986.6570 | 0.00 | 0.01 | 0.05 | -0.05 | 0.29 | 0.84 |
| WS3 | WS5 | 641.5310 | 2277.7910 | -1975.4740 | 0.00 | -0.09 | 0.15 | -0.05 | -1.28 | 1.49 |
| WS3 | WS6 | 132.3860 | 1510.6570 | -1007.7310 | 0.00 | -10.02 | -0.04 | 0.03 | 0.00 | -1.13 |
| WS6 | WS5 | 509.1450 | 767.2340 | -967.7420 | 0.00 | -0.07 | 0.08 | -0.17 | -1.50 | 1.49 |
| WS6 | WS3 | -132.3860 | -1510.5570 | 1007.7310 | 0.00 | 0.02 | 0.04 | -0.03 | 0.85 | 0.61 |
| WS4 | WS3 | -839.0380 | -473.7530 | 1986.6570 | 0.00 | -0.01 | -0.05 | 0.06 | -0.66 | -1.44 |
| WS4 | WS6 | -706.6520 | 1036.8040 | 978.9250 | 0.00 | -0.03 | 0.02 | 0.11 | -1.17 | 0.86 |
（Note: "w" refers to the measurement of data detection method. Its red value indicates that the vector may contain gross errors.）
Vector observation results(Continued)
| Start point name | End name | Excess x | Redundant y | Redundant z | Lower bound x(cm) | Lower bound y(cm) | Lower bound z(cm) | Inner x | Inner y | Inner z | Outer x | Outer y | Outer z |
| WS3 | WS4 | 1.27 | 0.89 | 0.88 | 0.07 | 0.22 | 0.25 | 3.67 | 4.38 | 4.40 | 1.89 | 1.46 | 1.52 |
| WS3 | WS5 | 1.32 | 1.06 | 1.00 | 0.07 | 0.26 | 0.40 | 3.59 | 4.01 | 4.12 | 2.04 | 1.00 | 0.28 |
| WS3 | WS6 | 0.99 | 0.00 | 0.71 | 0.25 | Positive infinity | 0.20 | 4.14 | Positive infinity | 4.89 | 0.33 | Positive infinity | 2.61 |
| WS6 | WS5 | 0.82 | 1.31 | 1.17 | 0.09 | 0.14 | 0.20 | 4.55 | 3.60 | 3.81 | 1.91 | 2.02 | 1.59 |
| WS6 | WS3 | 1.00 | 0.83 | 0.96 | 0.27 | 0.12 | 0.27 | 4.13 | 4.55 | 4.21 | 0.16 | 1.90 | 0.81 |
| WS4 | WS3 | 1.78 | 1.15 | 1.11 | 0.05 | 0.07 | 0.12 | 3.09 | 3.85 | 3.92 | 2.74 | 1.49 | 1.29 |
| WS4 | WS6 | 1.05 | 1.08 | 1.61 | 0.11 | 0.11 | 0.05 | 4.03 | 3.96 | 3.25 | 0.92 | 1.16 | 2.55 |
（Note: "Redundant" refers to redundant components, "lower bound" refers to the lower bound of gross error, "inner" refers to internal reliability index, and "outer" refers to external reliability index.）
GPS控制网平差范例
数据文件格式说明：
《 GPS控制网平差》数据文件的开始一行只有一个数据，即先验单位权中误差,单位为cm。后跟一行不少于5个连续“=”的等号分隔符分隔，接着为已知点。打一行等号分隔符，后面是向量组排列。
向量组之间也用等号分隔符分隔。各向量组内的基线向量与其方差协方差矩阵之间用一行不少于5个连续“-”减号分隔符分隔。
数据之间用逗号或制表符或空格或分号分隔。点名的第一个字符必须是字母或数字。
《 GPS控制网平差》数据文件的开始一行只有一个数据，即先验单位权中误差,单位为cm。后跟一行不少于5个连续“=”的等号分隔符分隔，接着为已知点。打一行等号分隔符，后面是向量组排列。
向量组之间也用等号分隔符分隔。各向量组内的基线向量与其方差协方差矩阵之间用一行不少于5个连续“-”减号分隔符分隔。
数据之间用逗号或制表符或空格或分号分隔。点名的第一个字符必须是字母或数字。
先验单位权中误差(cm)
====================
【已知点】
====================
【向量组1】
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【方差协方差阵1】
====================
【向量组2】
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【方差协方差阵2】
====================
......
u0(cm)
====================
点名 X(m) Y(m) Z(m)
====================
起点名 终点名 Dx(m) Dy(m) Dz(m)
--------------------
方差协方差下三角阵
====================
起点名 终点名 Dx(m) Dy(m) Dz(m)
--------------------
方差协方差下三角阵
====================
......
复制下列数据保存在一个文本文件中，文件名随便起，比如“abc1.txt”。
14.5 =============== WS4 -2048309.426 4541447.998 5177111.964 WS5 -2048506.933 4543252.035 5177123.148 ==================== WS3 WS4 839.038 473.753 -1986.657 WS3 WS5 641.531 2277.791 -1975.474 WS3 WS6 132.386 1510.657 -1007.731 ------------------ 6.3396911132e-006 1.1809400872e-006 3.0943590502e-005 1.1930651032e-006 2.5863358272e-006 3.9872357602e-005 -2.7152222542e-006 7.3433362552e-007 1.9793949262e-006 6.2396595642e-006 2.0864626772e-006 3.5379830222e-006 6.3842181942e-007 4.6992692002e-006 5.6764614702e-005 2.0778529432e-006 6.3264486102e-007 3.0096394792e-006 1.1882910502e-006 7.1870396302e-006 3.9763527792e-005 5.2031676972e-007 3.1071707532e-006 3.6751809722e-006 3.7099006952e-006 1.4163872362e-006 2.9798854482e-006 4.5246833812e-005 1.5308953912e-006 3.5742147032e-006 1.7041776482e-006 1.0750128442e-006 3.5402763942e-006 1.3912037792e-006 2.0191935622e-006 8.2753290792e-006 -1.8670146442e-006 6.3521300642e-007 2.9448371282e-006 7.8266156502e-007 6.3957527842e-007 3.0720447102e-006 3.5517325702e-006 1.8254365532e-006 0450338452e-005 ===================== WS6 WS5 509.145 767.234 -967.742 WS6 WS3 -132.386 -1510.557 1007.731 ------------------- 7.1499747112e-006 3.5066797892e-006 6.3458120852e-006 2.3105755952e-006 6.5622054022e-007 1.2937179792e-005 4.5527136102e-006 7.6009002042e-007 2.0879282352e-006 5.4401065242e-005 3.0649090402e-006 2.7574826902e-006 4.0781138552e-006 2.7732173872e-006 6.8564861392e-006 6.7033132302e-007 5.0702590222e-006 8.1561227572e-007 1.9942904022e-006 2.0179739482e-006 5.1815899502e-005 ========================== WS4 WS3 -839.038 -473.753 1986.657 WS4 WS6 -706.652 1036.804 978.925 ---------------- 5.5275265202e-006 1.8927923032e-006 8.5143640482e-006 1.1609796272e-006 2.6631894252e-006 4.4151056052e-006 3.4713356172e-006 3.1551395302e-006 2.2289704932e-006 1.2206391472e-005 2.2459294872e-006 1.1937381472e-006 2.5412192182e-006 3.6756988652e-006 5.2991841712e-006 4.2484793922e-006 4.5403075162e-006 9.5219743892e-007 3.9479027192e-006 1.3166465522e-006 7.4109152452e-006
然后运行“GPS控制网平差”软件，选择“经典平差”→浏览到该文件打开→提交，即可得到如下结果：
GPS控制网平差成果
平差方法：[经典平差]
先验单位权中误差=±14.5cm
单位权中误差=±803.95cm
已知点
| 点名 | X(m) | Y(m) | Z(m) |
| WS4 | -2048309.426 | 4541447.998 | 5177111.964 |
| WS5 | -2048506.933 | 4543252.035 | 5177123.148 |
待定点
| 点名 | X(m) | Y(m) | Z(m) | Mx(cm) | My(cm) | Mz(cm) |
| WS3 | -2049148.4554 | 4540974.2331 | 5179098.6255 | 0.81 | 1.23 | 1.27 |
| WS6 | -2049016.0656 | 4542484.8195 | 5178090.8912 | 1.50 | 1.12 | 1.22 |
（注：Mx、My、Mz为相应三个坐标分量中误差。）
向量观测值成果
| 起点名 | 终点名 | Dx(m) | Dy(m) | Dz(m) | vx(cm) | vy(cm) | vz(cm) | wx | wy | wz |
| WS3 | WS4 | 839.0380 | 473.7530 | -1986.6570 | -0.86 | 1.19 | -0.45 | -0.46 | 0.28 | -0.09 |
| WS3 | WS5 | 641.5310 | 2277.7910 | -1975.4740 | -0.86 | 1.09 | -0.35 | -0.47 | 0.18 | -0.07 |
| WS3 | WS6 | 132.3860 | 1510.6570 | -1007.7310 | 0.38 | -7.06 | -0.33 | 0.07 | -3.57 | -0.10 |
| WS6 | WS5 | 509.1450 | 767.2340 | -967.7420 | -1.24 | -1.85 | -0.12 | -0.80 | -1.09 | -0.04 |
| WS6 | WS3 | -132.3860 | -1510.5570 | 1007.7310 | -0.38 | -2.94 | 0.33 | -0.07 | -1.70 | 0.06 |
| WS4 | WS3 | -839.0380 | -473.7530 | 1986.6570 | 0.86 | -1.19 | 0.45 | 0.50 | -0.60 | 0.40 |
| WS4 | WS6 | -706.6520 | 1036.8040 | 978.9250 | 1.24 | 1.75 | 0.22 | 0.52 | 1.19 | 0.12 |
（注：“w”表示数据探测法统计量。其红色值表示向量可能包含粗差。）
向量观测值成果(续)
| 起点名 | 终点名 | 多余x | 多余y | 多余z | 下界x(cm) | 下界y(cm) | 下界z(cm) | 内x | 内y | 内z | 外x | 外y | 外z |
| WS3 | WS4 | 1.35 | 0.98 | 0.99 | 5.67 | 18.07 | 20.41 | 3.56 | 4.17 | 4.14 | 2.10 | 0.55 | 0.31 |
| WS3 | WS5 | 1.37 | 1.12 | 1.00 | 5.53 | 21.92 | 20.21 | 3.53 | 3.91 | 4.12 | 2.15 | 1.34 | 0.22 |
| WS3 | WS6 | 1.00 | 0.89 | 0.89 | 21.24 | 9.17 | 15.10 | 4.12 | 4.38 | 4.39 | 0.25 | 1.45 | 1.48 |
| WS6 | WS5 | 0.84 | 1.16 | 1.05 | 7.59 | 6.00 | 10.33 | 4.51 | 3.83 | 4.04 | 1.81 | 1.54 | 0.88 |
| WS6 | WS3 | 1.00 | 1.07 | 1.02 | 23.64 | 6.68 | 22.43 | 4.14 | 3.99 | 4.09 | 0.24 | 1.05 | 0.60 |
| WS4 | WS3 | 1.80 | 1.42 | 0.76 | 3.91 | 5.78 | 6.08 | 3.08 | 3.46 | 4.75 | 2.75 | 2.25 | 2.35 |
| WS4 | WS6 | 1.06 | 1.13 | 1.91 | 9.26 | 5.39 | 3.92 | 4.01 | 3.89 | 2.99 | 0.98 | 1.39 | 2.85 |
（注：“多余”表示多余分量，“下界”表示粗差下界值，“内”表示内可靠性指标，“外”表示外可靠性指标。）
若选择“稳健估计”→浏览到该文件打开→提交，即可得到如下结果：
GPS控制网平差成果
平差方法：[稳健估计]
先验单位权中误差=±14.5cm
单位权中误差=±9.33cm
已知点
| 点名 | X(m) | Y(m) | Z(m) |
| WS4 | -2048309.426 | 4541447.998 | 5177111.964 |
| WS5 | -2048506.933 | 4543252.035 | 5177123.148 |
待定点
| 点名 | X(m) | Y(m) | Z(m) | Mx(cm) | My(cm) | Mz(cm) |
| WS3 | -2049148.4640 | 4540974.2449 | 5179098.6205 | 0.01 | 0.02 | 0.02 |
| WS6 | -2049016.0780 | 4542484.8017 | 5178090.8892 | 0.02 | 0.02 | 0.02 |
（注：Mx、My、Mz为相应三个坐标分量中误差。）
向量观测值成果
| 起点名 | 终点名 | Dx(m) | Dy(m) | Dz(m) | vx(cm) | vy(cm) | vz(cm) | wx | wy | wz |
| WS3 | WS4 | 839.0380 | 473.7530 | -1986.6570 | 0.00 | 0.01 | 0.05 | -0.05 | 0.29 | 0.84 |
| WS3 | WS5 | 641.5310 | 2277.7910 | -1975.4740 | 0.00 | -0.09 | 0.15 | -0.05 | -1.28 | 1.49 |
| WS3 | WS6 | 132.3860 | 1510.6570 | -1007.7310 | 0.00 | -10.02 | -0.04 | 0.03 | 0.00 | -1.13 |
| WS6 | WS5 | 509.1450 | 767.2340 | -967.7420 | 0.00 | -0.07 | 0.08 | -0.17 | -1.50 | 1.49 |
| WS6 | WS3 | -132.3860 | -1510.5570 | 1007.7310 | 0.00 | 0.02 | 0.04 | -0.03 | 0.85 | 0.61 |
| WS4 | WS3 | -839.0380 | -473.7530 | 1986.6570 | 0.00 | -0.01 | -0.05 | 0.06 | -0.66 | -1.44 |
| WS4 | WS6 | -706.6520 | 1036.8040 | 978.9250 | 0.00 | -0.03 | 0.02 | 0.11 | -1.17 | 0.86 |
（注：“w”表示数据探测法统计量。其红色值表示向量可能包含粗差。）
向量观测值成果(续)
| 起点名 | 终点名 | 多余x | 多余y | 多余z | 下界x(cm) | 下界y(cm) | 下界z(cm) | 内x | 内y | 内z | 外x | 外y | 外z |
| WS3 | WS4 | 1.27 | 0.89 | 0.88 | 0.07 | 0.22 | 0.25 | 3.67 | 4.38 | 4.40 | 1.89 | 1.46 | 1.52 |
| WS3 | WS5 | 1.32 | 1.06 | 1.00 | 0.07 | 0.26 | 0.40 | 3.59 | 4.01 | 4.12 | 2.04 | 1.00 | 0.28 |
| WS3 | WS6 | 0.99 | 0.00 | 0.71 | 0.25 | 正无穷大 | 0.20 | 4.14 | 正无穷大 | 4.89 | 0.33 | 正无穷大 | 2.61 |
| WS6 | WS5 | 0.82 | 1.31 | 1.17 | 0.09 | 0.14 | 0.20 | 4.55 | 3.60 | 3.81 | 1.91 | 2.02 | 1.59 |
| WS6 | WS3 | 1.00 | 0.83 | 0.96 | 0.27 | 0.12 | 0.27 | 4.13 | 4.55 | 4.21 | 0.16 | 1.90 | 0.81 |
| WS4 | WS3 | 1.78 | 1.15 | 1.11 | 0.05 | 0.07 | 0.12 | 3.09 | 3.85 | 3.92 | 2.74 | 1.49 | 1.29 |
| WS4 | WS6 | 1.05 | 1.08 | 1.61 | 0.11 | 0.11 | 0.05 | 4.03 | 3.96 | 3.25 | 0.92 | 1.16 | 2.55 |
（注：“多余”表示多余分量，“下界”表示粗差下界值，“内”表示内可靠性指标，“外”表示外可靠性指标。）