测绘科学技术

Example of leveling control network adjustment

Data file format description:
The leveling network data file is divided into three parts, with no less than 5 consecutive“=”Separate rows. 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 elevation points: point names altitude(m)
=========================
Height difference observation value: starting point name End name Altitude difference(m) distance(km)

Copy the following data and save it in a text file with a random file name, such as "abc1.txt”。

0.5
===============
WS13	581.367
WS3 520.4561
=============
WS13	WS1	-69.292	0.722
WS3	WS7	-6.735	1.600
WS3	WS9	-57.363	1.239
WS7	WS8	74.655	0.718
WS12	WS1	146.746	1.575
WS9	WS12	-97.864	1.963
WS9	WS2	88.538	1.765
WS8	WS2	-36.744	1.169
WS2	WS1	-39.557	1.767

Then run the "leveling control network adjustment" software and select "classic adjustment"→Browse to the file to open→Submit to get the following results:


Leveling control network adjustment results


Adjustment method:[Classical adjustment]

Mean square error of prior unit weight=±0.5cm

Mean square error of unit weight=±2.63cm


Known point elevation

Roll callH(m)
WS13581.367
WS3520.4561

Elevation to be fixed

Roll callH(m)mH(cm)
WS1512.06501.94
WS12365.28632.98
WS2551.63422.59
WS7513.72212.72
WS8588.37752.89
WS9463.10952.30

（Note: "MH" is the mean square error of elevation）


Leveling network survey results

Start point nameEnd nameh(m)v(cm)w
WS13WS1-69.2920-1.00-0.91
WS3WS7-6.73500.100.05
WS3WS9-57.36301.640.91
WS7WS874.65500.040.05
WS12WS1146.74603.271.73
WS9WS12-97.86404.081.73
WS9WS288.5380-1.33-0.57
WS8WS2-36.74400.070.05
WS2WS1-39.5570-1.22-0.51

（Note: "w" refers to the measurement of data detection method. Its red value indicates that the vector may contain gross errors.）


Leveling network survey results(Continued)

Start point nameEnd namesurplusLower bound(cm)withinOutside
WS13WS10.2418.738.407.31
WS3WS70.3323.867.185.88
WS3WS90.3819.596.705.28
WS7WS80.1523.8610.739.90
WS12WS10.3323.747.205.90
WS9WS120.4123.746.454.96
WS9WS20.4521.546.184.59
WS8WS20.2423.868.417.32
WS2WS10.4720.966.014.36

（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:

Adjustment results of leveling control network


Adjustment method:[Robust estimation]

Mean square error of prior unit weight=±0.5cm

Mean square error of unit weight=±0.14cm


Known point elevation

Roll callH(m)
WS13581.367
WS3520.4561

Elevation to be fixed

Roll callH(m)mH(cm)
WS1512.07490.11
WS12365.28462.91
WS2551.63170.14
WS7513.72090.14
WS8588.37590.15
WS9463.09340.13

（Note: "MH" is the mean square error of elevation）


Leveling network survey results

Start point nameEnd nameh(m)v(cm)w
WS13WS1-69.2920-0.01-0.21
WS3WS7-6.7350-0.02-0.16
WS3WS9-57.36300.030.37
WS7WS874.6550-0.01-0.16
WS12WS1146.74604.431.70
WS9WS12-97.86405.521.70
WS9WS288.53800.030.29
WS8WS2-36.7440-0.01-0.16
WS2WS1-39.55700.020.13

（Note: "w" refers to the measurement of data detection method. Its red value indicates that the vector may contain gross errors.）


Leveling network survey results(Continued)

Start point nameEnd namesurplusLower bound(cm)withinOutside
WS13WS10.181.179.848.93
WS3WS70.331.277.195.88
WS3WS90.281.227.836.65
WS7WS80.151.2710.739.91
WS12WS10.4424.166.194.61
WS9WS120.5524.165.553.70
WS9WS20.401.226.565.10
WS8WS20.241.278.417.33
WS2WS10.431.176.294.75

（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.）


水准测量控制网平差范例

数据文件格式说明：
水准网数据文件分三部分，用不少于5个连续“=”分隔行。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)
=========================
已知高程点：点名 高程(m)
=========================
高差观测值：起点名 终点名 高差(m) 距离(km)

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”。

0.5
===============
WS13	581.367
WS3 520.4561
=============
WS13	WS1	-69.292	0.722
WS3	WS7	-6.735	1.600
WS3	WS9	-57.363	1.239
WS7	WS8	74.655	0.718
WS12	WS1	146.746	1.575
WS9	WS12	-97.864	1.963
WS9	WS2	88.538	1.765
WS8	WS2	-36.744	1.169
WS2	WS1	-39.557	1.767

然后运行《水准测量控制网平差》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：


水准测量控制网平差成果


平差方法：[经典平差]

先验单位权中误差=±0.5cm

单位权中误差=±2.63cm


已知点高程

点名H(m)
WS13581.367
WS3520.4561

待定点高程

点名H(m)mH(cm)
WS1512.06501.94
WS12365.28632.98
WS2551.63422.59
WS7513.72212.72
WS8588.37752.89
WS9463.10952.30

（注：“MH”为高程中误差）


水准网测量成果

起点名终点名h(m)v(cm)w
WS13WS1-69.2920-1.00-0.91
WS3WS7-6.73500.100.05
WS3WS9-57.36301.640.91
WS7WS874.65500.040.05
WS12WS1146.74603.271.73
WS9WS12-97.86404.081.73
WS9WS288.5380-1.33-0.57
WS8WS2-36.74400.070.05
WS2WS1-39.5570-1.22-0.51

（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。）


水准网测量成果(续)

起点名终点名多余下界(cm)内外
WS13WS10.2418.738.407.31
WS3WS70.3323.867.185.88
WS3WS90.3819.596.705.28
WS7WS80.1523.8610.739.90
WS12WS10.3323.747.205.90
WS9WS120.4123.746.454.96
WS9WS20.4521.546.184.59
WS8WS20.2423.868.417.32
WS2WS10.4720.966.014.36

（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：

水准控制网平差成果


平差方法：[稳健估计]

先验单位权中误差=±0.5cm

单位权中误差=±0.14cm


已知点高程

点名H(m)
WS13581.367
WS3520.4561

待定点高程

点名H(m)mH(cm)
WS1512.07490.11
WS12365.28462.91
WS2551.63170.14
WS7513.72090.14
WS8588.37590.15
WS9463.09340.13

（注：“MH”为高程中误差）


水准网测量成果

起点名终点名h(m)v(cm)w
WS13WS1-69.2920-0.01-0.21
WS3WS7-6.7350-0.02-0.16
WS3WS9-57.36300.030.37
WS7WS874.6550-0.01-0.16
WS12WS1146.74604.431.70
WS9WS12-97.86405.521.70
WS9WS288.53800.030.29
WS8WS2-36.7440-0.01-0.16
WS2WS1-39.55700.020.13

（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。）


水准网测量成果(续)

起点名终点名多余下界(cm)内外
WS13WS10.181.179.848.93
WS3WS70.331.277.195.88
WS3WS90.281.227.836.65
WS7WS80.151.2710.739.91
WS12WS10.4424.166.194.61
WS9WS120.5524.165.553.70
WS9WS20.401.226.565.10
WS8WS20.241.278.417.33
WS2WS10.431.176.294.75

（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。）

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