A dynamic compilation method and system for railway tunnel construction plan

Abstract

The present application discloses a dynamic compilation method and system for railway tunnel construction plan, which relates to the field of railway construction plan compilation. The construction log of the railway engineering management platform is analyzed, the initial information of the work site is extracted, the initial monthly plan value and the initial monthly output value are calculated, the construction information characteristic value set is constructed, and it is judged whether the construction information characteristic value belongs to the first type; the comprehensive-change array and the individual-change array are constructed respectively, and abnormality judgment is performed, and the comprehensive-change and individual-change arrays with abnormal judgment results are analyzed for manual errors, and the abnormal data is cleaned, and the judgment results of the cleaned comprehensive-change and individual-change arrays are judged as normal, and the comprehensive-change and individual-change arrays with normal judgment results are input into the construction information characteristic analysis model to obtain output results, and the initial monthly plan value is adjusted according to the obtained output results.

Description

Technical Field

[0001] The present invention relates to the field of railway construction plan compilation, and in particular to a dynamic compilation method and system for railway tunnel construction plan. Background Art

[0002] With the continuous development of my country's railway construction projects, tunnel projects, as an important part of it, have received more and more attention. The preparation of tunnel construction plans is one of the key links to ensure that tunnel projects are completed on time, with quality and within budget. However, the existing static construction plan preparation method still lacks flexibility and cannot be adjusted according to actual construction conditions.

[0003] In order to solve the problem that static construction plans lack flexibility and cannot be adjusted according to actual construction conditions, there is an urgent need for a dynamic preparation method for construction plans that can fully consider the possible abnormal situations, uncertainties and variabilities of construction characteristic values ​​during tunnel construction, dynamically adjust the construction plan according to actual construction conditions, and improve the adaptability of the construction plan. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for dynamically compiling a railway tunnel construction plan. In order to avoid the problem that a static construction plan lacks flexibility and cannot be adjusted according to actual construction conditions, the present invention fully considers the abnormal conditions, uncertainty and variability of construction characteristic values ​​that may occur during tunnel construction, and provides a method and system for dynamically compiling a railway tunnel construction plan, which can improve the adaptability and flexibility of the construction plan.

[0005] The technical solution adopted by the present invention is: a method for dynamically compiling a railway tunnel construction plan, comprising:

[0006] Step 1: Analyze the construction log of the railway engineering management platform, obtain the railway engineering construction information, extract the initial information of the work site, and the surrounding rock grade and surrounding rock distribution, and calculate the initial monthly plan value based on the surrounding rock grade and surrounding rock distribution;

[0007] Based on the initial information of the work site, the construction type is classified according to the preset classification standards;

[0008] Step 2: Obtain progress data from the construction log of the railway engineering management platform and calculate the initial monthly output value based on the progress data;

[0009] Step 3: Determine the time period for railway engineering construction for different construction types, extract features for each type of construction information in each time period, construct a construction information feature value set based on the extracted construction information feature values, and determine whether the construction information feature value belongs to the first type based on the change of the construction information feature values ​​of each group in the construction information feature value set over time;

[0010] Step 4: If it belongs to the first type, a comprehensive-variation array is constructed according to the characteristic value of the construction information, and abnormality judgment is performed;

[0011] If it does not belong to the first type, a separate-variation array is constructed according to the characteristic value of the construction information, and abnormality judgment is performed;

[0012] Step 5: Perform manual error analysis on the comprehensive-variation and single-variation arrays whose judgment results are abnormal, clean the abnormal data, and judge the judgment results of the comprehensive-variation and single-variation arrays after cleaning as normal;

[0013] The comprehensive-variation and individual-variation arrays judged as normal are input into the construction information characteristic analysis model to obtain output results, and the initial monthly plan value is adjusted according to the obtained output results.

[0014] In some embodiments of the present application, the method of extracting the initial information of the work site and the distribution of the surrounding rock grade, and calculating the initial monthly plan value according to the surrounding rock grade and the surrounding rock distribution includes:

[0015] According to the surrounding rock grade and surrounding rock distribution of each construction site, and obtaining the construction recommended values ​​of different surrounding rock grades, the monthly construction plan recommended value is calculated, and the monthly construction plan recommended value is set as the monthly plan initial value. The calculation formula of the monthly construction plan recommended value is:

[0016]

[0017] v i With s c The relationship that needs to be satisfied is:

[0018]

[0019] Among them, S c is the recommended value for the monthly construction plan, s i is the distribution of the i-th level surrounding rock in the month, v i It is the recommended construction value for the i-th grade surrounding rock.

[0020] In some embodiments of the present application, the method of classifying the construction type according to the preset classification standard based on the initial information of the work site includes:

[0021] In the preset classification standard, the construction types include: main tunnel, auxiliary tunnel, auxiliary tunnel includes: horizontal guide, inclined shaft, vertical shaft, horizontal tunnel;

[0022] Obtain construction information from the construction log of the railway engineering management platform, extract initial information of the work site, and classify it according to the preset classification standards.

[0023] In some embodiments of the present application, the method of obtaining progress data from the construction log of the railway engineering management platform and calculating the initial monthly output value according to the progress data includes:

[0024] For the work point progress verification method, the daily engineering progress on the i-th day is k i , then the cumulative mining volume on day N is:

[0025]

[0026] If the engineering progress data is obtained correctly, the daily cumulative mining volume should be greater than or equal to the previous day's cumulative mining volume. Then the set {p1, p2, ..., p N-1 , p N The validation set of} is:

[0027] f(p1, p2, ... p N-1 , p N )=(p1≤p2)&(p2≤p3),...,&(p N-1 ≤p N );

[0028] If the calibration function value f(p1, p2, ...p N-1 , p N ) is 1, it means that the project progress data is normal; if the check function value is 0, it means that the project progress data is wrong and needs to be traced;

[0029] The monthly output value calculation formula is:

[0030]

[0031] Among them, K D is the monthly output value; k i is the actual daily engineering progress on the ith day; m i is the planned daily project progress for the i-th day.

[0032] In some embodiments of the present application, according to the change of the construction information characteristic value of each group in the construction information characteristic value set over time, the method for determining whether the construction information characteristic value belongs to the first type includes:

[0033] The current production capacity, geological characteristics, environmental characteristics, and surrounding rock distribution in the construction information are determined as construction characteristics, and characteristic values ​​are configured for each construction characteristic;

[0034] The case where the number of construction characteristic values ​​in the same construction information that changes over time is greater than one is determined as the first type.

[0035] In some embodiments of the present application, if it belongs to the first type, a method of constructing a comprehensive-variation array according to the construction information feature value and performing abnormality judgment includes:

[0036] If it belongs to the first type, a comprehensive-variation array is constructed according to the time-varying value of each construction information characteristic value, and the comprehensive-variation array includes four rows and (N+1) columns;

[0037] The method for judging the abnormality of the comprehensive-variable array is as follows:

[0038]

[0039] Among them, C i is the abnormality index of the element in the i-th row, P1 is the first abnormality weight of the configuration, P2 is the second abnormality weight of the configuration, P3 is the third abnormality weight of the configuration, and P4 is the fourth abnormality weight of the configuration. is the sum of the differences between the N subsequent terms and the preceding terms of the first row of elements, is the sum of the differences between the N subsequent terms and the preceding terms of the second row of elements, is the sum of the differences between the N subsequent terms and the preceding terms of the third row of elements, is the sum of the differences between the N subsequent terms and the preceding terms of the fourth row of elements;

[0040] C i Compare with the preset abnormal standard. If C i If it is greater than the preset abnormality standard, the comprehensive-variation array is judged to be abnormal.

[0041] In some embodiments of the present application, if it does not belong to the first type, a method of constructing a separate-variation array according to the construction information feature value and performing abnormality judgment includes:

[0042] Obtain all data points of the construction information characteristic values ​​that do not belong to the first type, perform preprocessing, and extract data of changes in a single group of construction information characteristic values ​​over time in a group of construction information;

[0043] The data of a single set of construction information characteristic values ​​changing over time constructs a separate-variation array, which includes a row of (N+1) columns, and abnormality judgment is performed based on the difference between the N subsequent items and the preceding items of the separate-variation array.

[0044] In some embodiments of the present application, the method of inputting the comprehensive-variation array and the individual-variation array whose judgment results are normal into the construction information feature analysis model to obtain output results, and adjusting the initial monthly plan value according to the obtained output results includes:

[0045] The comprehensive-variation array and the individual-variation array whose judgment results are normal are input into the construction information characteristic analysis model, and the construction information characteristic analysis model outputs the recommended change values ​​of the construction information characteristic values. The initial monthly plan value is adjusted according to the recommended change values ​​of the construction information characteristic values.

[0046] In some embodiments of the present application, a dynamic compilation system for railway tunnel construction plan is also disclosed, including:

[0047] The initial monthly plan value calculation module is used to analyze the construction log of the railway engineering management platform, obtain railway engineering construction information, extract the initial information of the work site, and the surrounding rock grade and distribution, calculate the initial monthly plan value according to the surrounding rock grade and distribution, and classify the construction type according to the preset classification standard based on the initial information of the work site;

[0048] The initial monthly output value calculation module is used to obtain progress data from the construction log of the railway engineering management platform and calculate the initial monthly output value based on the progress data;

[0049] The construction information characteristic value judgment module is used to determine the time period of railway engineering construction for different construction types, extract the characteristics of each type of construction information in each time period, build a construction information characteristic value set according to the extracted construction information characteristic values, and judge whether the construction information characteristic value belongs to the first type according to the change of the construction information characteristic value of each group in the construction information characteristic value set over time;

[0050] An abnormality judgment module, used to construct a comprehensive-variation array according to the characteristic value of the construction information belonging to the first type, and perform abnormality judgment; if it does not belong to the first type, then construct a separate-variation array according to the characteristic value of the construction information, and perform abnormality judgment;

[0051] The monthly plan value adjustment module is used to perform manual error analysis on the comprehensive-change and individual-change arrays that are judged to be abnormal, and to clean the abnormal data, and to judge the judgment results of the cleaned comprehensive-change and individual-change arrays as normal, and to input the comprehensive-change and individual-change arrays that are judged to be normal into the construction information feature analysis model to obtain the output results, and to adjust the initial monthly plan value according to the obtained output results.

[0052] The beneficial effects of the present invention are:

[0053] The present invention determines whether the characteristic value of construction information belongs to the first type, constructs a comprehensive-variation array and a separate-variation array according to the characteristic value of construction information, performs abnormality judgment, and inputs the comprehensive-variation array and the separate-variation array into the construction information characteristic analysis model, and adjusts the initial monthly plan value according to the output result, fully considering the uncertainty and variability of the construction characteristic value, as well as the possible abnormal situations of the construction characteristic value, and adjusts the monthly plan, thereby greatly improving the flexibility and adaptability of the construction plan. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 A schematic diagram of the steps of a method for dynamically compiling a railway tunnel construction plan in an embodiment of the present application;

[0055] Figure 2 This is a schematic diagram of module connections of a dynamic compilation system for railway tunnel construction planning in an embodiment of the present application. DETAILED DESCRIPTION

[0056] The technical solution of the present invention is further described below through the accompanying drawings and embodiments.

[0057] The following will be combined with the accompanying drawings and specific embodiments to clearly and completely describe the technical solution of the present invention. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention and cannot be understood as limiting the scope of protection of the present invention. Those skilled in the art in this field can make some non-essential improvements and adjustments based on the content of the present invention described below. In the present invention, unless otherwise clearly specified and limited, the technical terms used in this application should be the common meanings understood by the technical personnel of the present invention.

[0058] Example:

[0059] The object of the present invention is to provide a method and system for dynamically compiling a railway tunnel construction plan.

[0060] A dynamic compilation method for railway tunnel construction planning, see Figure 1 ,include:

[0061] Step 1: Analyze the construction log of the railway engineering management platform, obtain the railway engineering construction information, extract the initial information of the work site, and the surrounding rock grade and surrounding rock distribution, and calculate the initial monthly plan value based on the surrounding rock grade and surrounding rock distribution;

[0062] Based on the initial information of the work site, the construction type is classified according to the preset classification standards.

[0063] Step 2: Obtain progress data from the construction log of the railway engineering management platform and calculate the initial monthly output value based on the progress data.

[0064] Step 3: Determine the time periods for railway construction for different types of construction. In each time period, extract features for each type of construction information. Construct a construction information feature value set based on the extracted construction information feature values. Determine whether the construction information feature value belongs to the first type based on how the construction information feature values ​​of each group in the construction information feature value set change over time.

[0065] It should be understood that the purpose of determining whether the construction information characteristic value belongs to the first type is to construct two different array forms, and then perform different operations on the data in the two array forms to more conveniently calculate the abnormal situation of the construction characteristic value.

[0066] Step 4: If it belongs to the first type, a comprehensive-variation array is constructed according to the characteristic value of the construction information, and abnormality judgment is performed;

[0067] If it does not belong to the first type, a separate-variation array is constructed according to the characteristic value of the construction information, and an abnormality judgment is performed.

[0068] Step 5: Perform manual error analysis on the comprehensive-variation and single-variation arrays whose judgment results are abnormal, clean the abnormal data, and judge the judgment results of the comprehensive-variation and single-variation arrays after cleaning as normal;

[0069] The comprehensive-variation and individual-variation arrays judged as normal are input into the construction information characteristic analysis model to obtain output results, and the initial monthly plan value is adjusted according to the obtained output results.

[0070] It should be understood that the purpose of cleaning abnormal data is to exclude data that theoretically does not conform to the actual situation and to eliminate data anomalies that may be caused by human factors, thereby greatly improving the data reference value of the input construction information feature analysis model and making the data output by the model more reliable.

[0071] In some embodiments of the present application, the method of extracting the initial information of the work site and the distribution of the surrounding rock grade, and calculating the initial monthly plan value according to the surrounding rock grade and the surrounding rock distribution includes:

[0072] According to the surrounding rock grade and surrounding rock distribution of each construction site, and obtaining the construction recommended values ​​of different surrounding rock grades, the monthly construction plan recommended value is calculated, and the monthly construction plan recommended value is set as the monthly plan initial value. The calculation formula of the monthly construction plan recommended value is:

[0073]

[0074] v i With s c The relationship that needs to be satisfied is:

[0075]

[0076] Among them, S c is the recommended value for the monthly construction plan, s i is the distribution of the i-th level surrounding rock in the month, v i It is the recommended construction value for the i-th grade surrounding rock.

[0077] In some embodiments of the present application, the method of classifying the construction type according to the preset classification standard based on the initial information of the work site includes:

[0078] In the preset classification standard, the construction types include: main tunnel, auxiliary tunnel, auxiliary tunnel includes: horizontal guide, inclined shaft, vertical shaft, horizontal tunnel;

[0079] Obtain construction information from the construction log of the railway engineering management platform, extract initial information of the work site, and classify it according to the preset classification standards.

[0080] In some embodiments of the present application, the method of obtaining progress data from the construction log of the railway engineering management platform and calculating the initial monthly output value according to the progress data includes:

[0081] For the work point progress verification method, the daily engineering progress on the i-th day is k i , then the cumulative mining volume on day N is:

[0082]

[0083] If the engineering progress data is obtained correctly, the daily cumulative mining volume should be greater than or equal to the previous day's cumulative mining volume. Then the set {p1, p2, ..., p N-1 , p N The validation set of} is:

[0084] f(p1, p2, ... p N-1 , p N )=(p1≤p2)&(p2≤p3),...,&(p N-1 ≤p N );

[0085] If the calibration function value f(p1, p2, ...p N-1 , p N ) is 1, it means that the project progress data is normal; if the check function value is 0, it means that the project progress data is wrong and needs to be traced;

[0086] The monthly output value calculation formula is:

[0087]

[0088] Among them, KD is the monthly output value; k i is the actual daily engineering progress on the ith day; m i is the planned daily project progress for the i-th day.

[0089] In some embodiments of the present application, according to the change of the construction information characteristic value of each group in the construction information characteristic value set over time, the method for determining whether the construction information characteristic value belongs to the first type includes:

[0090] The current production capacity, geological characteristics, environmental characteristics, and surrounding rock distribution in the construction information are determined as construction characteristics, and characteristic values ​​are configured for each construction characteristic;

[0091] The case where the number of construction characteristic values ​​in the same construction information that changes over time is greater than one is determined as the first type.

[0092] In some embodiments of the present application, if it belongs to the first type, a method of constructing a comprehensive-variation array according to the construction information feature value and performing abnormality judgment includes:

[0093] If it belongs to the first type, a comprehensive-variation array is constructed according to the time-varying value of each construction information characteristic value, and the comprehensive-variation array includes four rows and (N+1) columns;

[0094] The method for judging the abnormality of the comprehensive-variable array is as follows:

[0095]

[0096] Among them, C i is the abnormality index of the element in the i-th row, P1 is the first abnormality weight of the configuration, P2 is the second abnormality weight of the configuration, P3 is the third abnormality weight of the configuration, and P4 is the fourth abnormality weight of the configuration. is the sum of the differences between the N subsequent terms and the preceding terms of the first row of elements, is the sum of the differences between the N subsequent terms and the preceding terms of the second row of elements, is the sum of the differences between the N subsequent terms and the preceding terms of the third row of elements, is the sum of the differences between the N subsequent terms and the preceding terms of the fourth row of elements;

[0097] C i Compare with the preset abnormal standard. If C i If it is greater than the preset abnormality standard, the comprehensive-variation array is judged to be abnormal.

[0098] It should be understood that the comprehensive-variation array includes four rows and (N+1) columns. In the formula, each row element of the array has the sum of the differences between the N subsequent terms and the preceding terms. These differences are summed up, that is, the changes in the eigenvalues ​​of each row in the array are comprehensively considered, and according to the impact of each eigenvalue on the construction plan, the abnormality weights are configured separately to improve the credibility of the abnormal judgment.

[0099] In some embodiments of the present application, if it does not belong to the first type, a method of constructing a separate-variation array according to the construction information feature value and performing abnormality judgment includes:

[0100] Obtain all data points of the construction information characteristic values ​​that do not belong to the first type, perform preprocessing, and extract data of changes in a single group of construction information characteristic values ​​over time in a group of construction information;

[0101] The data of a single set of construction information characteristic values ​​changing over time constructs a separate-variation array, which includes a row of (N+1) columns, and abnormality judgment is performed based on the difference between the N subsequent items and the preceding items of the separate-variation array.

[0102] It should be understood that the single-variation array includes a row of (N+1) columns, where a row is data on the variation of a characteristic value over time. When calculating the abnormality, it is only necessary to perform a difference sum calculation on the elements of a row.

[0103] In some embodiments of the present application, the method of inputting the comprehensive-variation array and the individual-variation array whose judgment results are normal into the construction information feature analysis model to obtain output results, and adjusting the initial monthly plan value according to the obtained output results includes:

[0104] The comprehensive-variation array and the individual-variation array whose judgment results are normal are input into the construction information characteristic analysis model, and the construction information characteristic analysis model outputs the recommended change values ​​of the construction information characteristic values. The initial monthly plan value is adjusted according to the recommended change values ​​of the construction information characteristic values.

[0105] In some embodiments of the present application, a dynamic compilation system for railway tunnel construction plan is also disclosed, see Figure 2 , including: initial monthly plan value calculation module, initial monthly output value calculation module, construction information characteristic value judgment module, abnormality judgment module, and monthly plan value adjustment module.

[0106] The initial monthly planned value calculation module is used to analyze the construction log of the railway engineering management platform, obtain railway engineering construction information, extract the initial information of the work site, and the surrounding rock grade and surrounding rock distribution, calculate the initial monthly planned value according to the surrounding rock grade and surrounding rock distribution, and classify the construction type according to the preset classification standard based on the initial information of the work site;

[0107] The initial monthly output value calculation module is used to obtain progress data from the construction log of the railway engineering management platform and calculate the initial monthly output value based on the progress data;

[0108] The construction information characteristic value judgment module is used to determine the time period of railway engineering construction for different construction types, extract features of each type of construction information in each time period, construct a construction information characteristic value set according to the extracted construction information characteristic values, and judge whether the construction information characteristic value belongs to the first type according to the change of the construction information characteristic value of each group in the construction information characteristic value set over time;

[0109] The abnormality judgment module is used to construct a comprehensive-variation array according to the characteristic value of the construction information belonging to the first type, and perform abnormality judgment. If it does not belong to the first type, then construct a separate-variation array according to the characteristic value of the construction information, and perform abnormality judgment;

[0110] The monthly plan value adjustment module is used to perform manual error analysis on the comprehensive-change and individual-change arrays that are judged to be abnormal, and to clean the abnormal data, and to judge the judgment results of the cleaned comprehensive-change and individual-change arrays as normal, and to input the comprehensive-change and individual-change arrays that are judged to be normal into the construction information feature analysis model to obtain the output results, and to adjust the initial monthly plan value according to the obtained output results.

[0111] The beneficial effects of the present invention are:

[0112] The present invention determines whether the characteristic value of construction information belongs to the first type, constructs a comprehensive-variation array and a separate-variation array according to the characteristic value of construction information, performs abnormality judgment, and inputs the comprehensive-variation array and the separate-variation array into the construction information characteristic analysis model, and adjusts the initial monthly plan value according to the output result, fully considering the uncertainty and variability of the construction characteristic value, as well as the possible abnormal situations of the construction characteristic value, and adjusts the monthly plan, thereby greatly improving the flexibility and adaptability of the construction plan.

[0113] The above is only an example of implementation of the present invention, but it cannot be used to limit the scope of the present invention. Any structural changes made according to the present invention, as long as they do not lose the essence of the present invention, should be regarded as falling within the scope of protection of the present invention and being restricted. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process and related instructions of the system described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0114] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that they can still modify or replace the technical solution of the present invention with equivalents, and these modifications or equivalent replacements cannot cause the modified technical solution to deviate from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for dynamically compiling a railway tunnel construction plan, characterized in that: include: Step 1: Analyze the construction log of the railway engineering management platform, obtain the railway engineering construction information, extract the initial information of the work site, and the surrounding rock grade and surrounding rock distribution, and calculate the initial monthly plan value based on the surrounding rock grade and surrounding rock distribution; Based on the initial information of the work site, the construction type is classified according to the preset classification standards; Step 2: Obtain progress data from the construction log of the railway engineering management platform and calculate the initial monthly output value based on the progress data; Step 3: Determine the time period for railway engineering construction for different construction types, extract features for each type of construction information in each time period, construct a construction information feature value set based on the extracted construction information feature values, and determine whether the construction information feature value belongs to the first type based on the change of the construction information feature values ​​of each group in the construction information feature value set over time; Step 4: If it belongs to the first type, a comprehensive-variation array is constructed according to the characteristic value of the construction information, and abnormality judgment is performed; If it does not belong to the first type, a separate-variation array is constructed according to the characteristic value of the construction information, and abnormality judgment is performed; Step 5: Perform manual error analysis on the comprehensive-variation and single-variation arrays whose judgment results are abnormal, clean the abnormal data, and judge the judgment results of the comprehensive-variation and single-variation arrays after cleaning as normal; Input the comprehensive-variable and individual-variable arrays judged as normal into the construction information characteristic analysis model to obtain output results, and adjust the initial monthly plan value according to the obtained output results; Methods for extracting the initial information of the work site and the distribution of surrounding rock grades and calculating the initial monthly plan value based on the surrounding rock grades and surrounding rock distribution include: According to the surrounding rock grade and surrounding rock distribution of each construction site, and obtaining the construction recommended values ​​of different surrounding rock grades, the monthly construction plan recommended value is calculated, and the monthly construction plan recommended value is set as the monthly plan initial value. The calculation formula of the monthly construction plan recommended value is: v i With s c The relationship that needs to be satisfied is: Among them, S c is the recommended value for the monthly construction plan, s i is the distribution of the i-th level surrounding rock in the month, v i is the construction recommendation value for the i-th grade surrounding rock; Methods for classifying construction types according to preset classification standards based on initial information of construction sites include: In the preset classification standard, the construction types include: main tunnel, auxiliary tunnel, auxiliary tunnel includes: horizontal guide, inclined shaft, vertical shaft, horizontal tunnel; Obtain construction information from the construction log of the railway engineering management platform, extract initial information of the work site, and classify it according to the preset classification standards; The method of obtaining progress data from the construction log of the railway engineering management platform and calculating the initial monthly production value based on the progress data includes: For the work point progress verification method, the daily engineering progress on the i-th day is k i , then the cumulative mining volume on day N is: If the engineering progress data is obtained correctly, the daily cumulative mining volume should be greater than or equal to the previous day's cumulative mining volume. Then the set {p1, p2, ..., p N-1 , p N The validation set of} is: f(p1,p2,...p N-1 ,p N )=(p1≤p2)&(p2≤p3),...,&( p N-1 ≤p N ); If the calibration function value f(p1, p2, ...p N-1 , p N ) is 1, it means that the project progress data is normal; If the check function value is 0, it means that the project progress data is wrong and needs to be traced; The monthly output value calculation formula is: Among them, K D is the monthly output value; k i is the actual daily engineering progress on the ith day; m i is the planned daily engineering progress for the ith day; According to the change of the construction information characteristic value of each group in the construction information characteristic value set over time, the method for judging whether the construction information characteristic value belongs to the first type includes: The current production capacity, geological characteristics, environmental characteristics, and surrounding rock distribution in the construction information are determined as construction characteristics, and characteristic values ​​are configured for each construction characteristic; The case where the number of construction characteristic values ​​in the same construction information that changes over time is greater than one is determined as the first type; If it belongs to the first type, then the method of constructing a comprehensive-variation array according to the characteristic value of the construction information and making an abnormality judgment includes: If it belongs to the first type, a comprehensive-variation array is constructed according to the time-varying value of each construction information characteristic value, and the comprehensive-variation array includes four rows and N+1 columns; The method for judging the abnormality of the comprehensive-variable array is as follows: Among them, C i is the abnormality index of the element in the i-th row, P1 is the first abnormality weight of the configuration, P2 is the second abnormality weight of the configuration, P3 is the third abnormality weight of the configuration, and P4 is the fourth abnormality weight of the configuration. is the sum of the differences between the N subsequent terms and the preceding terms of the first row of elements, is the sum of the differences between the N subsequent terms and the preceding terms of the second row of elements, is the sum of the differences between the N subsequent terms and the preceding terms of the third row of elements, is the sum of the differences between the N subsequent terms and the preceding terms of the fourth row of elements; C i Compare with the preset abnormal standard. If C i If it is greater than the preset abnormality standard, the integrated-variation array is judged as abnormal; If it does not belong to the first type, a method of constructing a separate-variation array according to the characteristic value of the construction information and performing abnormality judgment includes: Obtain all data points of the construction information characteristic values ​​that do not belong to the first type, perform preprocessing, and extract data of changes in a single group of construction information characteristic values ​​over time in a group of construction information; A single-change array is constructed based on the data of a single set of construction information characteristic values ​​changing over time. The single-change array includes one row and N+1 columns, and abnormality is judged based on the difference between the N subsequent items and the preceding items of the single-change array.

2. A method for dynamically compiling a railway tunnel construction plan according to claim 1, characterized in that: The method of inputting the comprehensive-variation array and the individual-variation array whose judgment results are normal into the construction information characteristic analysis model to obtain output results, and adjusting the initial monthly plan value according to the obtained output results includes: The comprehensive-variation array and the individual-variation array whose judgment results are normal are input into the construction information characteristic analysis model, and the construction information characteristic analysis model outputs the recommended change values ​​of the construction information characteristic values. The initial monthly plan value is adjusted according to the recommended change values ​​of the construction information characteristic values.

3. A system for dynamically compiling a railway tunnel construction plan, applied to a method for dynamically compiling a railway tunnel construction plan as claimed in any one of claims 1 to 2, characterized in that: include: The initial monthly plan value calculation module is used to analyze the construction log of the railway engineering management platform, obtain railway engineering construction information, extract the initial information of the work site, and the surrounding rock grade and distribution, calculate the initial monthly plan value according to the surrounding rock grade and distribution, and classify the construction type according to the preset classification standard based on the initial information of the work site; The initial monthly output value calculation module is used to obtain progress data from the construction log of the railway engineering management platform and calculate the initial monthly output value based on the progress data; The construction information characteristic value judgment module is used to determine the time period of railway engineering construction for different construction types, extract the characteristics of each type of construction information in each time period, build a construction information characteristic value set according to the extracted construction information characteristic values, and judge whether the construction information characteristic value belongs to the first type according to the change of the construction information characteristic value of each group in the construction information characteristic value set over time; An abnormality judgment module, used to construct a comprehensive-variation array according to the characteristic value of the construction information belonging to the first type, and perform abnormality judgment; if it does not belong to the first type, then construct a separate-variation array according to the characteristic value of the construction information, and perform abnormality judgment; The monthly plan value adjustment module is used to perform manual error analysis on the comprehensive-change and individual-change arrays that are judged to be abnormal, and to clean the abnormal data, and to judge the judgment results of the cleaned comprehensive-change and individual-change arrays as normal, and to input the comprehensive-change and individual-change arrays that are judged to be normal into the construction information feature analysis model to obtain the output results, and to adjust the initial monthly plan value according to the obtained output results.

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