阅读说明：本技术 基于轨道几何状态测量仪的轨道测量数据整体平差方法 (Track measurement data integral adjustment method based on track geometric state measuring instrument ) 是由 邓川 武瑞宏 徐小左 周东卫 于 2020-06-23 设计创作，主要内容包括：本发明涉及一种基于轨道几何状态测量仪的轨道测量数据整体平差方法,所述方法将全站仪自由设站和轨道几何状态测量仪棱镜的观测数据进行整体平差处理,解决轨道测量数据按现有单测站独立平差处理所导致的相邻测站间形成转角或突变的问题,削弱自由设站误差对轨道分站测量的影响,提高相邻测站间的相对精度,实现轨道几何状态的精确测量。(The invention relates to a track measurement data integral adjustment method based on a track geometric state measuring instrument, which carries out integral adjustment processing on observation data of a total station free station and a track geometric state measuring instrument prism, solves the problem that the track measurement data forms a corner or a sudden change between adjacent measuring stations due to the independent adjustment processing of the existing single measuring station, weakens the influence of the free station setting error on the track substation measurement, improves the relative precision between the adjacent measuring stations, and realizes the accurate measurement of the track geometric state.)

1. The track measurement data integral adjustment method based on the track geometric state measuring instrument is characterized by comprising the following steps of:

the method carries out integral adjustment processing on observation data of a total station free station and a track geometric state measuring instrument prism.

2. The method for the integral adjustment of the track measurement data based on the track geometry status measuring instrument as claimed in claim 1, wherein:

the method specifically comprises the following steps:

the method comprises the following steps: checking the track measurement observation data according to the observation technical requirements to ensure the data observation quality;

step two: after the observation data is checked to be qualified, generating an adjustment file;

step three: sequentially resolving each station setting coordinate by using the known track control point coordinate and the free station setting observation value of the total station;

step four: checking the free station setting precision and the track control point coordinate inconsistency value, if the track control point coordinate X, Y, Z inconsistency value is larger than the limit value, the track control point does not participate in the free station setting adjustment calculation, the track control point is marked as an undetermined point, and the third step to the fourth step are repeated until the track control point coordinate X, Y, Z inconsistency value is smaller than the limit value;

step five: taking all horizontal directions, oblique distances and zenith distances of the track measurement data as observed values, taking all coordinates of the freely-set station, orientation angles, prism coordinates and coordinates of track control points to be determined as unknown parameters, taking the rest track control points as known points, and developing an error equation;

step six: determining an initial weight P of each observation value according to an empirical weighting method;

step seven: according to the least square principle V^TPV ═ min, the number of corrections for unknown parameters can be obtained:

step eight: judging the correction number of the unknown parameter, if the correction number of the unknown parameter is larger than the limit value, correcting the approximate value of the unknown parameter, and repeating the fifth step to the eighth step until the correction number of the unknown parameter is smaller than the limit value;

step nine: and repeatedly adjusting the weight ratio relation among various observed values by adopting a Hummer square difference component estimation method, and calculating the correction number of the unknown parameter by using the final weight matrix P so as to obtain the most probable value of the unknown parameter.

3. The method for the integral adjustment of the track measurement data based on the track geometry status measuring instrument as claimed in claim 2, wherein:

in the fifth step:

the error equation of the horizontal direction observed value is:

in the formula:

in the formula: l is_jkIs a horizontal direction observed value;the number of corrections of the observed value in the horizontal direction;approximate coordinate values of j and k points respectively;respectively the coordinate correction numbers of j and k points;

4. The method for the global adjustment of the orbit measurement data based on the orbit geometry measuring instrument as claimed in claim 3, wherein:

in the fifth step:

the error equation of the slant-range observation is:

in the formula:

in the formula: s_jkIs an oblique distance observed value;the number of corrections of the slope observation value is shown;

5. The method for the global adjustment of the orbit measurement data based on the orbit geometry measuring instrument as claimed in claim 4, wherein:

in the fifth step:

the error equation of the zenith distance observed value is as follows:

in the formula:

in the formula: a. the_jkThe zenith distance observed value is obtained;the correction number of the zenith distance observation value is obtained;

6. The method for the global adjustment of the orbit measurement data based on the orbit geometry measuring instrument as claimed in claim 5, wherein:

in the fifth step:

the matrix form of the error equation is:

in the formula: v is an observed value residual error array; b is an error equation coefficient array;

Technical Field

The invention belongs to the technical field of track measurement, and particularly relates to a track measurement data integral adjustment method based on a track geometric state measuring instrument.

Background

The accurate geometric dimension of the track is a basic condition for ensuring the safe operation of the train, and theoretical research and practical analysis show that the high-speed running can be realized only on a high-smoothness track. The key to the establishment and maintenance of the high smoothness state of the track is the efficient and accurate measurement of the geometric state of the track.

At present, the geometric state of the track is measured by matching a total station instrument with a track geometric state measuring instrument in a free station setting mode. The method includes the steps that a total station is erected near the center line of a track, free station setting is conducted through a track control network arranged along the line, the three-dimensional coordinates of the station setting are obtained, after the accuracy of the station setting is qualified, the total station obtains the coordinates of a prism through measuring the prism installed on a track geometric state measuring instrument, and the geometric state of the track is obtained through combination of line design data and structural parameters of the track geometric state measuring instrument.

Because the total station has a limited distance to observe every time the station is set, the geometric state of the track must be measured by a substation measurement method. Although the total station has high precision of distance measurement and angle measurement, and the relative precision of measurement in each station is high, because the track control points observed by each station are different, the precision of free station setting of each station is also different, and the measurement of the geometrical state of the track is mainly based on the polar coordinate measurement after the total station is freely set, so that the error of free station setting inevitably causes a corner or a sudden change between the measuring station and the measuring station, and influences the smoothness judgment of the track.

Therefore, how to weaken the influence of the free station setting error on the track substation measurement is to improve the relative precision between adjacent stations, realize the accurate measurement of the track geometric state, and have important significance on the establishment and the maintenance of the track high smoothness state.

Disclosure of Invention

The invention aims to provide a track measurement data integral adjustment method based on a track geometric state measuring instrument, which solves the problem that the track measurement data is processed according to the independent adjustment of the existing single measuring station to form a corner or sudden change between the adjacent measuring stations, weakens the influence of the error of free station setting on the measurement of the track substation, improves the relative precision between the adjacent measuring stations and realizes the accurate measurement of the track geometric state.

The technical scheme adopted by the invention is as follows:

the track measurement data integral adjustment method based on the track geometric state measuring instrument is characterized by comprising the following steps of:

the method carries out integral adjustment processing on observation data of a total station free station and a track geometric state measuring instrument prism.

The method specifically comprises the following steps:

the method comprises the following steps: checking the track measurement observation data according to the observation technical requirements to ensure the data observation quality;

step two: after the observation data is checked to be qualified, generating an adjustment file;

step three: sequentially resolving each station setting coordinate by using the known track control point coordinate and the free station setting observation value of the total station;

step four: checking the free station setting precision and the track control point coordinate inconsistency value, if the track control point coordinate X, Y, Z inconsistency value is larger than the limit value, the track control point does not participate in the free station setting adjustment calculation, the track control point is marked as an undetermined point, and the third step to the fourth step are repeated until the track control point coordinate X, Y, Z inconsistency value is smaller than the limit value;

step five: taking all horizontal directions, oblique distances and zenith distances of the track measurement data as observed values, taking all coordinates of the freely-set station, orientation angles, prism coordinates and coordinates of track control points to be determined as unknown parameters, taking the rest track control points as known points, and developing an error equation;

step six: determining an initial weight P of each observation value according to an empirical weighting method;

step seven: according to the least square principle V^TPV ═ min, the number of corrections for unknown parameters can be obtained:

step eight: judging the correction number of the unknown parameter, if the correction number of the unknown parameter is larger than the limit value, correcting the approximate value of the unknown parameter, and repeating the fifth step to the eighth step until the correction number of the unknown parameter is smaller than the limit value;

step nine: and repeatedly adjusting the weight ratio relation among various observed values by adopting a Hummer square difference component estimation method, and calculating the correction number of the unknown parameter by using the final weight matrix P so as to obtain the most probable value of the unknown parameter.

In the fifth step:

the error equation of the horizontal direction observed value is:

in the formula:

in the formula: l is_jkIs a horizontal direction observed value;the number of corrections of the observed value in the horizontal direction;

approximate coordinate values of j and k points respectively;

respectively the coordinate correction numbers of j and k points;is a horizontal distance approximation;is an azimuthal approximation;is an orientation angle approximation;

is the orientation angle correction number; n is the observation number of each station in the horizontal direction; ρ ″, 206265.

In the fifth step:

the error equation of the slant-range observation is:

in the formula:

in the formula: s_jkIs an oblique distance observed value;the number of corrections of the slope observation value is shown; approximate coordinate values of j and k points respectively;

respectively the coordinate correction numbers of j and k points;

is an approximation of the ramp distance.

In the fifth step:

the error equation of the zenith distance observed value is as follows:

in the formula:

in the formula: a. the_jkThe zenith distance observed value is obtained;the correction number of the zenith distance observation value is obtained;

approximate coordinate values of j and k points respectively; respectively the coordinate correction numbers of j and k points;is an approximate value of the slope distance;

is a horizontal distance approximation;is an approximate zenith distance; ρ ″, 206265.

In the fifth step:

the matrix form of the error equation is:

in the formula: v is an observed value residual error array; b is an error equation coefficient array;

is an unknown parameter array; and l is a constant term array.

The invention has the following advantages:

1. the track measurement data integral adjustment method based on the track geometric state measuring instrument has the advantages of strict theory, simple process and easy program realization, and provides a feasible and novel method for data processing of track measurement.

2. The track measurement data integral adjustment method based on the track geometric state measuring instrument solves the problem of inconsistent control reference of free station setting, weakens the influence of free station setting error on track substation measurement, improves the relative precision between adjacent measuring stations, and realizes the accurate measurement of the track geometric state.

3. The track measurement data integral adjustment method based on the track geometric state measuring instrument overcomes the dependence of track geometric state field measurement on track control network results, and realizes that the operation mode of the track geometric state field measurement can be preferentially developed under the condition of no track control network results.

4. The track measurement data integral adjustment method based on the track geometric state measuring instrument provides a new method for judging the stability of the track control network and updating the results, avoids unstable track control points from participating in adjustment calculation, and realizes the same-precision interpolation updating of the results of the track control network.

5. The track measurement data integral adjustment method based on the track geometric state measuring instrument provides a new method for integrally measuring the track control network and the track geometric state, reduces the operation procedures, saves the operation time and improves the measurement efficiency.

Drawings

Fig. 1 is a flowchart of a method for overall adjustment of track measurement data based on a track geometry status measuring instrument according to the present invention.

Detailed Description

The present invention will be described in detail with reference to specific embodiments.

The invention relates to an integral adjustment method of track measurement data based on a track geometric state measuring instrument, which is used for carrying out integral adjustment processing on observation data of a free station of a total station and a prism of the track geometric state measuring instrument, and the specific implementation mode comprises the following steps:

the method comprises the following steps: and checking the track measurement observation data according to the observation technical requirements to ensure the data observation quality.

Step two: and after the observation data is checked to be qualified, generating an adjustment file.

Step three: and sequentially resolving each station setting coordinate by using the known track control point coordinate and the free station setting observation value of the total station.

Step four: and (4) checking the free station setting precision and the track control point coordinate nonconforming value, if the track control point coordinate X, Y, Z nonconforming value is larger than the limit value, the track control point does not participate in the free station setting adjustment calculation, the track control point is marked as an undetermined point, and the third step to the fourth step are repeated until the track control point coordinate X, Y, Z nonconforming values are all smaller than the limit value.

Step five: and (3) setting out an error equation by taking all horizontal directions, oblique distances and zenith distances of the track measurement data as observed values, all free station setting coordinates, orientation angles, prism coordinates and coordinates of track control points to be determined as unknown parameters and other track control points as known points.

The error equation of the horizontal direction observed value is:

in the formula:

in the formula: l is_jkIs a horizontal direction observed value;

the number of corrections of the observed value in the horizontal direction;

approximate coordinate values of j and k points respectively;respectively the coordinate correction numbers of j and k points;is a horizontal distance approximation;

is an azimuthal approximation;is an orientation angle approximation;is the orientation angle correction number; n is the observation number of each station in the horizontal direction; ρ ″, 206265.

The error equation of the slant-range observation is:

in the formula:

in the formula: s_jkIs an oblique distance observed value;the number of corrections of the slope observation value is shown; approximate coordinate values of j and k points respectively; respectively the coordinate correction numbers of j and k points;is an approximation of the ramp distance.

The error equation of the zenith distance observed value is as follows:

in the formula:

in the formula: a. the_jkThe zenith distance observed value is obtained;the correction number of the zenith distance observation value is obtained; approximate coordinate values of j and k points respectively; respectively the coordinate correction numbers of j and k points;is an approximate value of the slope distance;is a horizontal distance approximation;is an approximate zenith distance; ρ ″, 206265.

The matrix form of the error equation is:

in the formula: v is an observed value residual error array; b is an error equation coefficient array;is an unknown parameter array; and l is a constant term array.

Step six: and determining the initial weight P of each observation value according to an empirical weighting method.

Step seven: according to the least square principle V^TPV ═ min, the number of corrections for unknown parameters can be obtained:

step eight: and judging the correction number of the unknown parameter, if the correction number of the unknown parameter is larger than the limit value, correcting the approximate value of the unknown parameter, and repeating the fifth step to the eighth step until the correction number of the unknown parameter is smaller than the limit value.

Step nine: and repeatedly adjusting the weight ratio relation among various observed values by adopting a Hummer square difference component estimation method, and calculating the correction number of the unknown parameter by using the final weight matrix P so as to obtain the most probable value of the unknown parameter.

The invention is not limited to the examples, and any equivalent changes to the technical solution of the invention by a person skilled in the art after reading the description of the invention are covered by the claims of the invention.