Tunnel construction efficacy analysis system and method

Abstract

The invention provides a tunnel construction efficacy analysis system and method, and relates to the technical field of tunnel construction, and the analysis system comprises a data obtaining unit which is used for obtaining construction monitoring video data and construction item data; the error monitoring unit is used for obtaining the error rate of each construction point location of each distributed construction item according to the construction item data; the difficulty evaluation unit is used for obtaining the construction difficulty degree based on the error rate; the difficulty summarizing unit is used for obtaining the comprehensive difficulty degree corresponding to each construction object according to the construction difficulty degree; and the efficacy evaluation unit is used for obtaining a construction efficacy assessment index of each construction object according to the comprehensive difficulty degree. According to the system and the method provided by the invention, the construction state of the construction object can be better known, and meanwhile, when the comprehensive difficulty degree is relatively high, timely reallocation of related distributed construction items can be carried out, so that the tunnel construction progress is improved.

Description

Technical Field

[0001] This invention relates to the field of tunnel construction technology, and in particular to a tunnel construction efficiency analysis system and method. Background Technology

[0002] Tunnel construction efficiency refers to the output level that can be achieved per unit of time and per unit of resources during tunnel construction, as well as the comprehensive benefits resulting therefrom.

[0003] In the existing tunnel construction management process, construction personnel cannot effectively quantify the construction efficiency of difficult construction projects, making it difficult to accurately assess the completion status of construction personnel in carrying out relevant construction tasks. Consequently, the difficulty of quantifying the work difficulty cannot be determined, which may result in a large workload for relevant construction personnel. It is also difficult to identify and conduct reasonable performance evaluations and adjustments to construction tasks in a timely manner. Summary of the Invention

[0004] This invention provides a tunnel construction efficiency analysis system and method to solve the technical problem in the prior art where construction workers cannot effectively quantify the construction efficiency of difficult construction projects, making it difficult to accurately assess the completion status of construction workers in related construction tasks, thus failing to quantify the difficulty of the work. This results in a potentially heavy workload for construction workers, making it impossible to promptly identify and conduct reasonable performance evaluations and adjustments to construction tasks.

[0005] To achieve the above and other related objectives, this invention provides a tunnel construction efficiency analysis system, comprising: a data acquisition unit for acquiring construction monitoring video data and construction item data corresponding to each construction object, wherein each construction item data includes multiple assigned construction items; an error monitoring unit for monitoring each assigned construction item in the construction monitoring video data based on the construction item data, and obtaining the error rate of each construction point of each assigned construction item; a difficulty assessment unit for assessing the construction difficulty of each assigned construction item based on the error rate, and obtaining the degree of construction difficulty; a difficulty aggregation unit for performing a fusion calculation based on all assigned construction items and the corresponding degree of construction difficulty in the construction item data, and obtaining the comprehensive degree of difficulty corresponding to each construction object; and an efficiency assessment unit for assessing the construction efficiency of the corresponding construction object based on the comprehensive degree of difficulty, and obtaining the construction efficiency assessment index of each construction object.

[0006] In one embodiment of the present invention, the error monitoring unit includes: a feature lookup subunit, used to obtain key image features corresponding to each assigned construction item based on construction item data; a frame-by-frame query subunit, used to perform frame-by-frame query on the construction monitoring video data corresponding to each construction point in the construction item data based on the key image features, so as to obtain the operation image segment corresponding to the key image features under each construction point; and an operation monitoring subunit, used to monitor the construction operation of the operation image segment to obtain the error rate of each construction point of each assigned construction item.

[0007] In one embodiment of the present invention, the operation monitoring subunit includes: a segment comparison module, used to compare the operation image segment with the reference image segment corresponding to the key image feature in chronological order to obtain a comparison result; a first result statistics module, used to indicate that the construction operation of the allocated construction item corresponding to the operation image segment is correct when the comparison result is consistent with the reference image segment, and to count the number of correct operations corresponding to each construction point in sequence; a second result statistics module, used to indicate that the construction operation of the allocated construction item corresponding to the operation image segment is incorrect when the comparison result is inconsistent with the reference image segment, and to count the number of errors corresponding to each construction point in sequence, wherein construction operation errors include local operation errors and overall operation errors; and an error calculation module, used to obtain the error rate of each construction point of each allocated construction item based on the number of correct operations and the number of errors corresponding to each construction point; the formula for calculating the error rate is: ,in, Indicates the number of correct answers. This indicates the number of errors corresponding to local operation errors. This represents a binary variable, indicating when the number of errors corresponds to an overall operational error within the construction operation errors. A value of 1 indicates that there are no overall operational errors among the construction operation errors corresponding to the number of errors. The value is 0. This indicates the preset error rate corresponding to the existence of overall operational errors.

[0008] In one embodiment of the present invention, the segment comparison module includes: a similarity comparison submodule, used to compare the similarity of each operation image in the operation image segment with the corresponding reference images in the reference image segment in chronological order; an image classification submodule, used to classify the operation images that reach a first similarity with each reference image to obtain an operation image set corresponding to each reference image, the operation image set including similar operation images that reach a specified similarity with the reference images and dissimilar operation images among the similar operation images; and a judgment output submodule, used to determine whether all reference images correspond to an operation image set; if so, to perform error operation detection on the dissimilar operation images among the similar operation images, and to obtain a comparison result based on the detection result; if not, to take the operation image segment that is consistent with the reference image segment as the comparison result.

[0009] In one embodiment of the present invention, the determination output submodule, in the process of detecting erroneous operations on dissimilar operation images among similar operation images and obtaining a comparison result based on the detection result, includes: an image comparison module for comparing the similarity between the erroneous operation image and the dissimilar operation image; a first result output module for determining that when there is a target dissimilar operation image that reaches a second similarity with the erroneous operation image among adjacent similar operation images, the operation image segment is inconsistent with the reference image segment as the comparison result; and a second result output module for determining that when there is no target dissimilar operation image that reaches a second similarity with the erroneous operation image among adjacent similar operation images, the operation image segment is consistent with the reference image segment as the comparison result.

[0010] In one embodiment of the present invention, the difficulty assessment unit includes: a point query subunit, used to sequentially search for the point difficulty level corresponding to each construction point according to the construction point of each assigned construction item; and a difficulty calculation subunit, used to assess the construction difficulty of each assigned construction item based on the error rate, the difficulty conversion coefficient corresponding to the error rate, and the point difficulty level, to obtain the construction difficulty level; the calculation formula for the construction difficulty level is: ,in, This indicates the error rate at each construction point. Indicates the difficulty conversion factor. This indicates the level of difficulty at each construction site. This indicates the first quantity corresponding to the construction site for the assigned construction task.

[0011] In one embodiment of the present invention, the difficulty summarization unit includes: a coefficient extraction subunit, used to extract the construction importance coefficient corresponding to each assigned construction item; and a fusion calculation subunit, used to perform a fusion calculation based on the construction difficulty and construction importance coefficients corresponding to all assigned construction items to obtain the comprehensive difficulty level corresponding to each construction item; the formula for calculating the comprehensive difficulty level is: ,in, This indicates the second quantity corresponding to the assigned construction items. Indicates the degree of difficulty in construction. This indicates the importance coefficient of the construction project.

[0012] In one embodiment of the present invention, the efficacy evaluation unit includes: a table lookup subunit, used to look up a table to obtain the construction value and construction duration threshold corresponding to a unit time based on the degree of comprehensive difficulty; and an efficacy calculation subunit, used to evaluate the construction efficacy based on the construction value, construction duration threshold and the actual construction time corresponding to the completion of construction of the construction object, and obtain the construction efficacy assessment index of each construction object.

[0013] In one embodiment of the present invention, the efficacy calculation subunit includes: a time difference calculation module, used to calculate the difference between the construction duration threshold and the actual construction duration to obtain the duration difference; and a first index output module, used to, when the duration difference is positive, obtain the first construction efficacy assessment index for each construction object based on the duration difference, the index increment, and the basic construction efficacy index corresponding to the construction duration threshold, wherein the calculation formula for the first construction efficacy assessment index is: , This represents the basic indicators of construction efficiency corresponding to the construction duration threshold. Indicates the increment of the indicator. This module represents the first time difference when the time difference is positive; and the second indicator output module is used to obtain the second construction efficiency assessment indicator for each construction object based on the basic construction efficiency indicators corresponding to the time difference, indicator reduction, and construction time threshold when the time difference is negative. The calculation formula for the second construction efficiency assessment indicator is as follows: , This indicates a reduction in the indicator. This represents the second time difference when the time difference is negative.

[0014] To achieve the above and other related objectives, the present invention also provides a method for analyzing the effectiveness of tunnel construction, comprising: acquiring construction monitoring video data and construction item data corresponding to each construction object through a data acquisition unit, wherein each construction item data includes multiple allocated construction items; monitoring each allocated construction item in the construction monitoring video data based on the construction item data through an error monitoring unit to obtain the error rate of each construction point of each allocated construction item; assessing the construction difficulty of each allocated construction item based on the error rate through a difficulty assessment unit to obtain the degree of construction difficulty; performing a fusion calculation based on all allocated construction items and the corresponding degree of construction difficulty in the construction item data through a difficulty aggregation unit to obtain the comprehensive degree of difficulty corresponding to each construction object; and assessing the construction effectiveness of the corresponding construction object based on the comprehensive degree of difficulty through an effectiveness assessment unit to obtain the construction effectiveness assessment index of each construction object.

[0015] The beneficial effects of this invention are as follows: This invention proposes a tunnel construction efficiency analysis system and method. By acquiring construction monitoring video data of each construction object during the execution of construction tasks, and simultaneously acquiring data on the currently scheduled construction tasks of the construction object, the system monitors the construction process at each construction point under each assigned construction task. This identifies the number of erroneous attempts at key construction locations and calculates the error rate for each construction point under each assigned construction task. Based on the error rate of each construction point, the system assesses the construction difficulty of each assigned construction task, thereby determining the degree of construction difficulty corresponding to each assigned construction task. Next, the difficulty levels of all assigned construction tasks for each construction object are aggregated and summarized to obtain the overall difficulty level for each construction object. By utilizing this overall difficulty level, the ease or difficulty of each construction object in performing relevant construction tasks can be effectively reflected. This allows for the evaluation of the construction effectiveness of each construction object, resulting in performance indicators for each object. This leads to a better assessment of the construction effectiveness of the assigned tasks, reflecting the difficulty level of the relevant construction. Furthermore, it provides a better understanding of the construction status of each object and enables timely reallocation of assigned construction tasks when the overall difficulty level is high, thereby improving tunnel construction progress and better managing the construction tasks of each construction object. Attached Figure Description

[0016] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort.

[0017] In the attached diagram: Figure 1 This is a structural block diagram of the tunnel construction efficiency analysis system provided in an embodiment of the present invention; Figure 2 The diagram shown is a flowchart illustrating a tunnel construction effectiveness analysis method provided in an embodiment of the present invention.

[0018] The attached figures are labeled as follows: Data acquisition unit 111; error monitoring unit 112; difficulty assessment unit 113; difficulty summary unit 114; effectiveness assessment unit 115. Detailed Implementation

[0019] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0020] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. The drawings only show the components related to the present invention and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0021] In the following description, numerous details are explored to provide a more thorough explanation of embodiments of the invention. However, it will be apparent to those skilled in the art that embodiments of the invention may be practiced without these specific details. In other embodiments, well-known structures and devices are shown in block diagram form rather than in detail to avoid obscuring embodiments of the invention.

[0022] Please see Figure 1This invention provides a tunnel construction efficiency analysis system, comprising: a data acquisition unit 111, used to acquire construction monitoring video data and construction item data corresponding to each construction object, wherein each construction item data includes multiple assigned construction items; an error monitoring unit 112, used to monitor each assigned construction item in the construction monitoring video data according to the construction item data, and obtain the error rate of each construction point of each assigned construction item; a difficulty assessment unit 113, used to assess the construction difficulty of each assigned construction item based on the error rate, and obtain the degree of construction difficulty; a difficulty summarization unit 114, used to perform fusion calculation based on all assigned construction items and corresponding degrees of construction difficulty in the construction item data, and obtain the comprehensive degree of difficulty corresponding to each construction object; and an efficiency assessment unit 115, used to assess the construction efficiency of the corresponding construction object according to the comprehensive degree of difficulty, and obtain the construction efficiency assessment index of each construction object.

[0023] As can be seen from the above, in the tunnel construction efficiency analysis system of the present invention, in order to better reflect the construction difficulty of each construction object in the tunnel construction process and thus better evaluate the construction items, the data acquisition unit 111 can first acquire the construction monitoring video data of each construction object when performing construction items, and simultaneously acquire the data of the construction items currently arranged by the construction object. The construction monitoring video data can be obtained by cameras deployed at the construction site. The construction item data can be obtained by back-end personnel assigning relevant construction items according to the construction item handling capacity of each construction object, and then sending the data to the tunnel construction efficiency analysis system of the present invention after deployment, so that the data acquisition unit 111 can acquire the construction item data. After acquiring the construction monitoring video data and the construction item data, the error monitoring unit 112 can further monitor the construction process of each construction point under each assigned construction item in the construction item data, thereby finding the number of incorrect attempts at the construction operation of relevant key construction locations, and then calculating the error rate of each construction point for each assigned construction item. The difficulty assessment unit 113 assesses the construction difficulty of each assigned construction task based on the error rate of each construction point, thereby determining the degree of construction difficulty corresponding to each assigned task. Next, the difficulty aggregation unit 114 aggregates and summarizes the construction difficulty of all assigned construction tasks for each construction object, resulting in a comprehensive difficulty level for each construction object. This comprehensive difficulty level effectively reflects the ease or difficulty of each construction object in performing its assigned tasks. Furthermore, the effectiveness assessment unit 115 evaluates the construction effectiveness of the corresponding construction object, deriving performance indicators for each object. This allows for a better assessment of the construction effectiveness of the assigned tasks, reflecting the degree of difficulty and providing a better understanding of the construction status. Additionally, when the comprehensive difficulty level is high, timely reallocation of assigned construction tasks can be implemented to improve tunnel construction progress.

[0024] In the tunnel construction efficiency analysis system of the present invention, the error monitoring unit 112 includes: a feature lookup subunit, used to obtain key image features corresponding to each assigned construction item based on the construction item data; a frame-by-frame query subunit, used to perform frame-by-frame query on the construction monitoring video data corresponding to each construction point in the construction item data based on the key image features, so as to obtain the operation image segment corresponding to the key image features under each construction point; and an operation monitoring subunit, used to monitor the construction operation of the operation image segment and obtain the error rate of each construction point of each assigned construction item.

[0025] When monitoring and calculating the error rate, the error monitoring unit 112 can use the feature lookup subunit to find the assigned construction items in the construction item data of the construction object during tunnel construction. Based on the assigned construction items, it can search for corresponding key image features from the tunnel construction efficiency analysis system of the present invention. The tunnel construction efficiency analysis system of the present invention stores a correlation table between assigned construction items and key image features in advance, allowing for quick retrieval of corresponding key image features by inputting the assigned construction item. After obtaining the key image features, the frame-by-frame query subunit performs frame-by-frame image queries on the construction monitoring video data to find the operation image segments under each construction point, with each operation image segment corresponding to a specific construction point. Then, the operation monitoring subunit monitors the construction operation status of the operation image segments to find the number of errors and correct operations corresponding to each construction point. Based on the number of errors and correct operations, the error rate of each construction point for each assigned construction item can be accurately determined. This allows for estimation of the construction difficulty of each assigned construction item based on the corresponding error rate, enabling timely and accurate understanding of the construction difficulties of the construction object.

[0026] The operation monitoring subunit includes: a segment comparison module, used to compare the operation image segment with the reference image segment corresponding to the key image features in chronological order to obtain the comparison result; a first result statistics module, used to indicate that the construction operation of the assigned construction item corresponding to the operation image segment is correct when the comparison result is consistent with the reference image segment, and to count the number of correct operations corresponding to each construction point; a second result statistics module, used to indicate that the construction operation of the assigned construction item corresponding to the operation image segment is incorrect when the comparison result is inconsistent with the reference image segment, and to count the number of errors corresponding to each construction point, including local operation errors and overall operation errors; and an error calculation module, used to obtain the error rate of each construction point for each assigned construction item based on the number of correct operations and the number of errors corresponding to each construction point.

[0027] When monitoring construction operations, the operation monitoring subunit first compares the operation image segments with the reference image segments corresponding to key image features in chronological order using the segment comparison module. These reference image segments are pre-stored, manually stored, correct construction image segments. The comparison yields two results: the operation image segment matches the reference image segment, and the operation image segment does not match the reference image segment. When the comparison result is that the operation image segment matches the reference image segment, it indicates that the construction operation corresponding to the allocated construction item is correct, and the first result statistics module counts the number of correct operations. Conversely, when the comparison result is that the operation image segment does not match the reference image segment, it indicates that the construction operation corresponding to the allocated construction item is incorrect, and the second result statistics module counts the number of incorrect operations. Finally, the error calculation module calculates the error rate based on the number of correct and incorrect operations using the error rate calculation formula. The error rate of each construction point for each assigned construction item was calculated.

[0028] Specifically, the formula for calculating the error rate can be expressed as: , in, Indicates the number of correct answers. This indicates the number of errors corresponding to local operation errors. This represents a binary variable, indicating when the number of errors corresponds to an overall operational error within the construction operation errors. A value of 1 indicates that there are no overall operational errors among the construction operation errors corresponding to the number of errors. The value is 0. This indicates the preset error rate corresponding to the existence of overall operational errors.

[0029] When the comparison result indicates that the operation image segment is inconsistent with the reference image segment, not only may there be local operation errors at a certain stage of the operation image, but also overall operation errors where the entire operation image segment cannot be matched with the reference image segment. For local operation errors, the corresponding local error rate can be obtained by the ratio of the number of errors corresponding to the local operation error to the total number of errors. For overall operation errors, a corresponding preset error rate can be manually calibrated, and the corresponding local error rate can be superimposed to calculate the error rate of each construction point of each assigned construction item, thereby ensuring the accuracy of the error rate calculation. When there are no overall operation errors, it can be directly... This is used to calculate the error rate of each construction point for each assigned construction item.

[0030] Furthermore, the segment comparison module includes: a similarity comparison submodule, used to compare the similarity of each operation image in the operation image segment with the corresponding reference images in the reference image segment according to the time sequence; an image classification submodule, used to classify the operation images that reach a first similarity with each reference image to obtain a set of operation images corresponding to each reference image, the set of operation images including similar operation images that reach a specified similarity with the reference images and dissimilar operation images among similar operation images; and a judgment output submodule, used to determine whether all reference images correspond to a set of operation images; if so, to perform error operation detection on the dissimilar operation images among similar operation images, and to obtain a comparison result based on the detection result; if not, to take the operation image segment that is consistent with the reference image segment as the comparison result.

[0031] When the segment comparison module compares the operation image segments with the reference image segments corresponding to key image features in chronological order, it first uses a similarity comparison submodule to compare the similarity of each operation image in the operation image segment with the corresponding reference images in the reference image segment in chronological order, thereby finding the operation images that achieve the first similarity with each reference image. The image classification submodule extracts the operation images that achieve the first similarity with each reference image and forms a set of operation images corresponding to each reference image. The output judgment submodule further judges whether a set of operation images can be found for all reference images. If they can all be found, it indicates that the operation procedure of the operation image segment corresponding to the key image features is correct. Further error operation detection can be performed on dissimilar operation images among similar operation images to find whether there are local operation errors in dissimilar operation images. If at least one reference image cannot find a corresponding set of operation images, it indicates that the corresponding processing step is missing, and there is an overall operation error. Through this judgment mechanism, precise subdivision of erroneous operation situations can be achieved to ensure the accuracy of error operation monitoring.

[0032] In addition, the judgment output submodule, in the process of detecting errors in dissimilar operation images among similar operation images and obtaining comparison results based on the detection results, includes: an image comparison module for comparing the similarity between the error operation image and the dissimilar operation image; a first result output module for taking the inconsistency between the operation image segment and the reference image segment as the comparison result when there is a target dissimilar operation image that reaches a second similarity with the error operation image among adjacent similar operation images; and a second result output module for taking the consistency between the operation image segment and the reference image segment as the comparison result when there is no target dissimilar operation image that reaches a second similarity with the error operation image among adjacent similar operation images.

[0033] During the local operation error judgment process, the output judgment submodule can use the image comparison module to compare the similarity between the erroneous operation image and the dissimilar operation image. This erroneous operation image can be a pre-stored example image of an erroneous operation. Specifically, when there is a target dissimilar operation image that reaches a second similarity with the erroneous operation image among adjacent similar operation images, the inconsistency between the operation image segment and the reference image segment is used as the comparison result, and the number of such inconsistencies is counted as the error count for the local operation. For example, when binding rebar at a difficult construction point in a tunnel, the wire is threaded through the rebar and wrapped around it. Multiple bindings are needed to secure the wire to the rebar, resulting in several local operation errors before the correct operation is finally completed. Furthermore, since the difficulty of construction at the same construction point is similar, the construction point can include multiple binding points to obtain the overall error count and correct count for the entire construction point. For example, during the initial support and auxiliary works, the concrete surface was uneven and the rib phenomenon was obvious due to the non-standard sprayed concrete of the initial support. After many attempts, the support work was finally completed. Of course, there could also be other local errors in the tunnel construction process.

[0034] In the tunnel construction efficiency analysis system of the present invention, the difficulty assessment unit 113 includes: a point query subunit, used to sequentially search for the point difficulty level corresponding to each construction point according to the construction point of each assigned construction item; and a difficulty calculation subunit, used to assess the construction difficulty of each assigned construction item according to the error rate, the difficulty conversion coefficient corresponding to the error rate and the point difficulty level, and obtain the construction difficulty level.

[0035] When assessing the construction difficulty, the difficulty assessment unit 113 can use the point query subunit to find the difficulty level of each construction point. Specifically, this can be done by pre-establishing a correspondence table between construction points and their difficulty levels. Then, the corresponding difficulty level can be directly found based on the construction point. Next, the difficulty calculation subunit can use the error rate, the corresponding difficulty conversion coefficient, and the point difficulty level to assess the construction difficulty of each assigned construction task, thereby calculating the difficulty level of each assigned construction task. In this way, the error rate of each construction point can be combined with its corresponding difficulty level to accurately assess the difficulty level of each assigned construction task, thus providing an understanding of the ease or difficulty of each assigned construction task.

[0036] Preferably, the formula for calculating the degree of construction difficulty can be expressed as: , in, This indicates the error rate at each construction point. Indicates the difficulty conversion factor. This indicates the level of difficulty at each construction site. This represents the first quantity corresponding to the construction points assigned to the construction tasks. The error rate for each construction point is also considered. and difficulty conversion coefficient By performing a product calculation, the difficulty level of each construction point can be determined, and this difficulty conversion coefficient can be used. This can be obtained by manually converting the error rate into the degree of difficulty. Then, the degree of difficulty at each location is combined with the pre-set degree of difficulty for each construction location to accurately assess the degree of construction difficulty corresponding to each assigned construction task.

[0037] In the tunnel construction efficiency analysis system of the present invention, the difficulty summarization unit 114 includes: a coefficient extraction subunit, used to extract the construction importance coefficient corresponding to each assigned construction item; and a fusion calculation subunit, used to perform fusion calculation based on the construction difficulty and construction importance coefficients corresponding to all assigned construction items to obtain the comprehensive difficulty level corresponding to each construction object.

[0038] When summarizing the difficulty levels of various assigned construction items, the difficulty summarization unit 114 can extract the construction importance coefficient corresponding to each assigned construction item through the coefficient extraction subunit. Then, the fusion calculation subunit multiplies the construction difficulty levels corresponding to all assigned construction items with the corresponding construction importance coefficients, and then successively superimposes and fuses them to obtain the comprehensive difficulty level corresponding to each construction object. By combining the comprehensive difficulty level with the construction importance coefficients corresponding to each assigned construction item, the comprehensive difficulty level can better reflect the ease or difficulty of construction of the corresponding construction object. The tunnel construction efficiency analysis system of this invention can pre-store a correspondence table between assigned construction items and construction importance coefficients, allowing the corresponding construction importance coefficient to be directly obtained by looking up the table for each assigned construction item.

[0039] Preferably, the formula for calculating the overall difficulty level can be expressed as: , in, This indicates the second quantity corresponding to the assigned construction items. Indicates the degree of difficulty in construction. This indicates the importance coefficient of the construction project.

[0040] In the tunnel construction efficiency analysis system of the present invention, the efficiency evaluation unit 115 includes: a table lookup subunit, used to look up the table to obtain the construction value and construction time threshold corresponding to the unit time according to the comprehensive difficulty level; and an efficiency calculation subunit, used to evaluate the construction efficiency based on the construction value, construction time threshold and the actual construction time corresponding to the completion of construction of the construction object, and obtain the construction efficiency assessment index of each construction object.

[0041] Before conducting the construction effectiveness assessment, the effectiveness evaluation unit 115 can establish a relationship table between the overall difficulty level and the corresponding construction value and construction time threshold per unit time. During the assessment, the table lookup subunit can directly retrieve the corresponding construction value and construction time threshold per unit time using the overall difficulty level. Then, the effectiveness calculation subunit uses the current actual construction time, combined with the construction value and construction time threshold, to assess the construction effectiveness of each construction object. This accurately evaluates and measures the construction effectiveness assessment indicators for each object, quantifying the difficulty of each object during tunnel construction. This facilitates better performance evaluation and adjustments for each object, ultimately improving the management of construction tasks.

[0042] The efficacy calculation subunit may further include: a time difference calculation module, used to calculate the difference between the construction duration threshold and the actual construction duration to obtain the duration difference; and a first indicator output module, used to obtain the first construction efficacy assessment indicator for each construction object based on the duration difference, indicator increment, and the basic construction efficacy indicator corresponding to the construction duration threshold when the duration difference is positive. The calculation formula for the first construction efficacy assessment indicator is as follows: , This represents the basic indicators of construction efficiency corresponding to the construction duration threshold. Indicates the increment of the indicator. This module represents the first time difference when the time difference is positive; and the second indicator output module is used to obtain the second construction efficiency assessment indicator for each construction object based on the basic construction efficiency indicators corresponding to the time difference, indicator reduction, and construction time threshold when the time difference is negative. The calculation formula for the second construction efficiency assessment indicator is as follows: , This indicates a reduction in the indicator. This represents the second time difference when the time difference is negative.

[0043] When calculating construction performance evaluation indicators, the performance calculation subunit can perform categorized calculations based on the time difference between the construction time threshold calculated by the time difference calculation module and the actual construction time. Specifically, when the time difference is positive, the first indicator output module can use the indicator increment corresponding to a positive time difference, the time difference itself, and the basic construction performance indicator corresponding to the construction time threshold obtained from the table, to calculate the performance using the formula. This is to calculate the first construction performance evaluation index for the construction object when the time difference is positive. Among them, This represents the integral of the indicator increment over the first time difference, thereby appropriately adding corresponding incremental indicators to the basic construction efficiency indicators to ensure the correspondence between the construction efficiency assessment indicators and the actual construction of the project. When the time difference is negative, the second indicator output module can use the indicator reduction corresponding to a negative time difference, the time difference itself, and the basic construction efficiency indicators corresponding to the construction time threshold obtained from the table, to calculate the result using the formula. This is to calculate the second construction performance evaluation index for the construction object when the time difference is negative. Among them, This represents the integral of the reduction of indicators over the second time difference, thereby achieving an appropriate reduction of corresponding indicators based on the basic indicators of construction effectiveness, to ensure the correspondence between the construction effectiveness assessment indicators and the actual construction of the project. First time difference. Second time difference In the calculation, the actual construction time can be obtained by subtracting the construction time threshold.

[0044] Please see Figure 2 The present invention also provides a method for analyzing the effectiveness of tunnel construction, comprising: Step S10: Obtain construction monitoring video data and construction item data corresponding to each construction object through data acquisition unit 111. Each construction item data includes multiple assigned construction items. Step S20: The error monitoring unit 112 monitors the construction monitoring video data according to the construction item data to obtain the error rate of each construction point of each assigned construction item. Step S30: Based on the error rate, the difficulty assessment unit 113 assesses the construction difficulty of each assigned construction item to obtain the degree of construction difficulty; Step S40: The difficulty summary unit 114 performs a fusion calculation based on all assigned construction items and their corresponding construction difficulty levels in the construction item data to obtain the comprehensive difficulty level corresponding to each construction item. Step S50: The effectiveness evaluation unit 115 evaluates the construction effectiveness of the corresponding construction objects according to the overall difficulty level, and obtains the construction effectiveness assessment indicators of each construction object.

[0045] In summary, the tunnel construction efficiency analysis system and method disclosed in this invention acquires construction monitoring video data of each construction object during the execution of construction tasks, and simultaneously acquires data on the currently scheduled construction tasks of the construction object. Based on each assigned construction task in the construction task data, the system monitors the construction process at each construction point under each assigned construction task, thereby identifying the number of erroneous attempts at the relevant key construction locations, and calculating the error rate of each construction point for each assigned construction task. By using the error rate of each construction point, the system assesses the construction difficulty of each assigned construction task, thus determining the degree of construction difficulty corresponding to each assigned construction task. Next, the difficulty levels of all assigned construction tasks for each construction object are aggregated and summarized to determine the overall difficulty level for each object. This overall difficulty level effectively reflects the ease or difficulty of each construction object in performing its assigned tasks, allowing for the evaluation of its construction effectiveness. This results in performance indicators for each object, leading to a better assessment of the effectiveness of its assigned tasks and reflecting the relative difficulty of the work. Furthermore, this provides a better understanding of the construction status of each object and enables timely reallocation of assigned tasks when the overall difficulty level is high, thereby improving tunnel construction progress and enhancing the management of construction tasks for each object. Therefore, this invention effectively overcomes the shortcomings of existing technologies and possesses high industrial application value.

[0046] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in the present invention should still be covered by the claims of the present invention.

Claims

1. A tunnel construction efficiency analysis system, characterized by, The method comprises the following steps: a data acquisition unit is configured to acquire construction monitoring video data and construction matter data corresponding to each construction object, wherein each construction matter data comprises a plurality of distributed construction matters; an error monitoring unit is configured to monitor each distributed construction matter in the construction monitoring video data based on the construction matter data, and obtain an error rate of each construction point of each distributed construction matter; a difficulty assessment unit is configured to assess the construction difficulty of each distributed construction matter based on the error rate, and obtain a construction difficulty level; a difficulty summary unit is configured to perform fusion calculation based on all distributed construction matters in the construction matter data and the corresponding construction difficulty level, and obtain a comprehensive difficulty level corresponding to each construction object; and an efficiency assessment unit is configured to assess the construction efficiency of the corresponding construction object based on the comprehensive difficulty level, and obtain a construction efficiency evaluation index of each construction object.

2. The tunneling efficacy analysis system of claim 1, wherein, The error monitoring unit comprises: a feature searching subunit configured to acquire key image features corresponding to each distributed construction matter based on the construction matter data; a frame-by-frame searching subunit configured to perform frame-by-frame searching on the construction monitoring video data based on the key image features corresponding to each construction point in the construction matter data, so as to acquire an operation image segment corresponding to the key image features under each construction point; an operation monitoring subunit configured to monitor the operation image segment to obtain the error rate of each construction point of each distributed construction matter.

3. The tunneling efficacy analysis system of claim 2, wherein, The operation monitoring subunit comprises: a segment comparison module configured to sequentially compare the operation image segment with a reference image segment corresponding to the key image features in time sequence, and obtain a comparison result; a first result statistical module configured to, when the comparison result is that the operation image segment is consistent with the reference image segment, indicate that the construction operation of the distributed construction matter corresponding to the operation image segment is correct, and sequentially count the correct number of each construction point; a second result statistical module configured to, when the comparison result is that the operation image segment is inconsistent with the reference image segment, indicate that the construction operation of the distributed construction matter corresponding to the operation image segment is incorrect, and sequentially count the error number of each construction point, wherein the construction operation error comprises a local operation error and a whole operation error; and an error calculation module configured to obtain the error rate of each construction point of each distributed construction matter based on the correct number and the error number of each construction point. The calculation formula of the error rate is as follows: ， wherein, represents the correct number of times, represents the error number of times corresponding to the local operation error, represents a binary variable when there is a global operation error in the construction operation error corresponding to the error number of times, is valued at 1 when there is no global operation error in the construction operation error corresponding to the error number of times, is valued at 0, represents a preset error rate corresponding to the existence of the global operation error.

4. The tunneling efficacy analysis system of claim 3, wherein, The segment comparison module comprises: a similarity comparison submodule configured to perform similarity comparison between each operation image in the operation image segment and the reference image in the corresponding order of the reference image segment in time sequence. The image classification submodule is configured to classify the operation images that reach the first similarity with each reference image to obtain an operation image set corresponding to each reference image, wherein the operation image set includes similar operation images that reach a specified similarity with the reference image and non-similar operation images between the similar operation images. The judgment and output submodule is configured to judge whether all the reference images correspond to one operation image set; if yes, perform error operation detection on the non-similar operation images between the similar operation images, and obtain the comparison result according to the detection result; if no, take the operation image segment being inconsistent with the reference image segment as the comparison result.

5. The tunneling efficacy analysis system of claim 4, wherein, In the process of performing error operation detection on the non-similar operation images between the similar operation images and obtaining the comparison result according to the detection result, the judgment and output submodule includes: The image comparison module is configured to compare the error operation image with the non-similar operation images in similarity. The first result output module is configured to take the operation image segment being inconsistent with the reference image segment as the comparison result when there is a target non-similar operation image that reaches a second similarity with the error operation image between adjacent similar operation images. The second result output module is configured to take the operation image segment being consistent with the reference image segment as the comparison result when there is no target non-similar operation image that reaches a second similarity with the error operation image between adjacent similar operation images.

6. The tunneling efficacy analysis system of claim 1, wherein, The difficulty evaluation unit includes: The point position query subunit is configured to sequentially query a point position difficulty degree corresponding to each construction point position of each allocated construction matter. The difficulty calculation subunit is configured to perform construction difficulty evaluation of each allocated construction matter according to the error rate, a difficulty conversion coefficient corresponding to the error rate, and the point position difficulty degree to obtain the construction difficulty degree. The calculation formula of the construction difficulty degree is: ， wherein, represents an error rate of each construction point, represents a difficulty conversion coefficient, represents a point difficulty of each construction point, represents a first number corresponding to a construction point to which a construction matter is allocated.

7. The tunneling efficacy analysis system of claim 1, wherein, The difficulty summary unit includes: The coefficient extraction subunit is configured to extract a construction importance degree coefficient corresponding to each allocated construction matter. The fusion calculation subunit is configured to perform fusion calculation according to the construction difficulty degree and the construction importance degree coefficient corresponding to all the allocated construction matters to obtain a comprehensive difficulty degree corresponding to each construction object. The calculation formula of the comprehensive difficulty degree is: , wherein, represents the second number of distribution construction matters, represents the construction difficulty degree, represents the construction importance degree coefficient.

8. The tunneling efficacy analysis system of claim 1, wherein, The efficacy evaluation unit includes: The table lookup subunit is configured to look up a construction value degree and a construction time length threshold value corresponding to a unit time according to the comprehensive difficulty degree. The efficacy calculation subunit is configured to perform construction efficacy evaluation according to the construction value degree, the construction time length threshold value, and an actual construction time length corresponding to completion of construction of the construction object to obtain a construction efficacy evaluation index of each construction object.

9. The tunneling efficacy analysis system of claim 8, wherein, The efficacy calculation subunit includes: The time difference calculation module is configured to perform difference calculation on the construction time length threshold value and the actual construction time length to obtain a time length difference. The first index output module is configured to, when the time length difference is a positive value, obtain a first construction efficiency evaluation index of each construction object according to the time length difference, an index increment and a construction efficiency basic index corresponding to the construction time length threshold, and a calculation formula of the first construction efficiency evaluation index is: , , wherein the construction time length threshold corresponds to a construction efficiency basic index, , wherein the index increment is, , and the first time length difference is a positive value. The second index output module is configured to, when the time length difference is a negative value, obtain a second construction efficiency evaluation index of each construction object according to the time length difference, the index decrement, and a construction efficiency basic index corresponding to the construction time length threshold, and a calculation formula of the second construction efficiency evaluation index is: , denotes the index decrement, denotes a second time length difference when the time length difference is a negative value.

10. A method for analyzing the efficiency of tunnel construction, characterized in that, The construction difficulty degree calculation module includes: The construction monitoring video data and construction matter data corresponding to each construction object are acquired by a data acquisition unit, each construction matter data includes multiple allocated construction matters; Each allocated construction matter is monitored according to the construction matter data, and the error rate of each construction point of each allocated construction matter is obtained by an error monitoring unit; The construction difficulty of each allocated construction matter is evaluated based on the error rate, and the construction difficulty degree is obtained by a difficulty evaluation unit; The comprehensive difficulty degree corresponding to each construction object is obtained by a difficulty summary unit through fusion calculation according to all allocated construction matters in the construction matter data and the corresponding construction difficulty degree; The construction efficiency of the corresponding construction object is evaluated according to the comprehensive difficulty degree by an efficiency evaluation unit, and the construction efficiency evaluation index of each construction object is obtained.

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