A device for evaluating the construction effect of a double-track main tunnel with an auxiliary shaft for an extra-long inclined shaft and its application method

Abstract

This invention relates to the field of tunnel construction effect evaluation technology, and discloses a device for evaluating the construction effect of a double-track main tunnel with an auxiliary shaft for an extra-long inclined shaft and its usage method. The device collects data in real time through a data acquisition module. A data processing module cleans and organizes the collected data, performing deduplication and formatting, outlier detection and processing, and data normalization. An evaluation index calculation module calculates various indicators based on the processed data, including construction progress deviation, construction quality pass rate, environmental impact index, and safety accident rate, and transmits the calculation results to an evaluation model module. The evaluation model module establishes an evaluation model based on historical construction data analysis and expert evaluation, assigns weights to each indicator, calculates a comprehensive construction effect score, and a results display module generates a construction effect evaluation report based on the comprehensive construction effect score.

Description

Technical Field

[0001] This invention relates to the field of tunnel construction effect evaluation technology, specifically to a device for evaluating the construction effect of a double-track main tunnel with an auxiliary shaft for extra-long inclined shafts and its usage method. Background Technology

[0002] In underground engineering construction, the construction of a double-track main tunnel with an auxiliary tunnel of an extra-long inclined shaft is a complex and crucial step. Extra-long inclined shafts are typically used in areas with complex geological conditions or high construction difficulty. During construction, uncertainties such as groundwater, soft soil layers, and earthquakes may be encountered. Detailed evaluation of the construction results can help identify and address potential safety hazards in a timely manner, helping to prevent accidents and ensure the safety of construction personnel and future users. During construction, engineering technicians can gain a deeper understanding of the applicability and effectiveness of various construction methods and materials by evaluating the construction results, promoting improvements in construction techniques, increasing construction efficiency, and reducing resource waste. Evaluation of the construction results can identify problems and deficiencies in the construction process, thereby avoiding additional costs for repairs and rectification, helping project managers control costs within the budget and avoid unnecessary overspending. Good construction results not only guarantee the tunnel's service life but also reduce future maintenance and repair needs. A comprehensive evaluation of the construction results can identify potential long-term use problems in advance, allowing for preventative measures and extending the tunnel's service life. Therefore, evaluating the construction results of a double-track main tunnel with an auxiliary tunnel of an extra-long inclined shaft is of great significance.

[0003] Existing devices for evaluating the construction effect of auxiliary tunnels in extra-long inclined shafts may face limitations in real-time data acquisition and transmission in complex construction environments. This lack of data support when establishing evaluation models leads to reduced accuracy and reliability in evaluating construction effects. Summary of the Invention

[0004] (a) Technical problems to be solved

[0005] To address the shortcomings of existing technologies, this invention provides a device for evaluating the construction effect of a double-track main tunnel in an extra-long inclined shaft auxiliary tunnel, and its usage method. The device utilizes a data acquisition module to collect data in real time by installing temperature sensors, humidity sensors, vibration sensors, a laser rangefinder, and a concrete strength tester at the construction site. A data logger periodically uploads the sensor data to a central database. A data processing module cleans and organizes the collected data, performing deduplication and formatting, outlier detection and processing, and data normalization. The processed data is then transmitted to an evaluation index calculation module, which calculates various indicators based on the processed data, including construction progress deviation. The system calculates the following indicators: construction quality pass rate (Sjpc), environmental impact index (Hyzs), and accident rate (Asgl). The results are then passed to the evaluation model module. This module analyzes historical construction data and incorporates expert assessments to build an evaluation model, assigning weights to each indicator and calculating a comprehensive construction effectiveness score (Zhpf). The results display module generates a construction effectiveness evaluation report based on this comprehensive score, providing a clear visual representation of the evaluation results. By deploying numerous sensors to collect construction data and transmitting it to a central database, and then using this data to analyze and calculate the evaluation model, the system improves the accuracy and reliability of construction effectiveness evaluations, thus addressing the aforementioned issues.

[0006] (II) Technical Solution

[0007] To achieve the above objectives, the present invention provides the following technical solution:

[0008] An evaluation device for the construction effect of a double-track main tunnel with an auxiliary shaft for an extra-long inclined shaft includes a data acquisition module, a data processing module, an evaluation index calculation module, an evaluation model module, and a result display module.

[0009] The data acquisition module collects data in real time by installing temperature sensors, humidity sensors, vibration sensors, laser rangefinders, and concrete strength testers at the construction site, and uses a data logger to periodically upload the sensor data to the central database.

[0010] The data processing module cleans and organizes the collected data, performs data deduplication and formatting, outlier detection and processing, and data normalization, and then transmits the processed data to the evaluation index calculation module.

[0011] The evaluation index calculation module calculates various indicators based on the processed data, including construction progress deviation Sjpc, construction quality pass rate Gzhg, environmental impact index Hyzs, and safety accident rate Asgl, and transmits the calculation results to the evaluation model module.

[0012] The evaluation model module establishes an evaluation model based on historical construction data analysis and expert evaluation, assigns weights to various indicators, calculates the comprehensive construction effect score Zhpf, and transmits the results to the result display module.

[0013] The results display module generates a construction effect evaluation report based on the comprehensive score of the construction effect, and intuitively displays the evaluation results.

[0014] Furthermore, the data processing module cleans and organizes the collected data, performing data deduplication. The data deduplication formula is shown below:

[0015] hash(Sg)=H(Sg1, Sg2, Sg3,…,Sg n ,)

[0016] In the formula, hash(Sg) represents the new dataset after removing duplicates from the construction dataset Sg, H represents the hash function, and Sg1, Sg2, Sg3, ..., Sg n This represents each data segment in the construction dataset.

[0017] Furthermore, the data processing module cleans and organizes the collected data, and performs outlier detection. The outlier detection formula is shown below:

[0018]

[0019] In the formula, Zc represents the standard deviation distance between the data point Xk and its mean μ1. Xk represents the specific data point to be analyzed, which is an observation in the dataset. μ1 represents the mean of the dataset. σ represents the standard deviation of the dataset, which measures the dispersion of the data point from the mean. When the value of Zc is greater than 3, it indicates that the value is an outlier.

[0020] Furthermore, the evaluation index calculation module calculates various indicators based on the processed data, including the construction progress deviation Sjpc, using the following formula:

[0021]

[0022] In the formula, Sjpc represents the construction schedule deviation, Sjgl represents the actual amount of work completed, and Jhgl represents the planned amount of work completed.

[0023] Furthermore, the evaluation index calculation module calculates various indicators based on the processed data, including the construction quality pass rate Gzhg, using the following formula:

[0024]

[0025] In the formula, Gzhg represents the construction quality pass rate, Hgxm represents the number of items that are deemed qualified after quality inspection, and Zxms represents the total number of all construction items.

[0026] Furthermore, the evaluation index calculation module calculates various indicators based on the processed data, including the environmental impact index Hyzs, using the following formula:

[0027]

[0028] In the formula, Hyzs represents the environmental impact index, and E i W represents the impact value of the i-th environmental factor. i This represents the weight of the i-th environmental factor. The weight is set based on expert evaluation, historical data, and industry standards. n represents the total number of environmental factors.

[0029] Furthermore, the evaluation index calculation module calculates various indicators based on the processed data, including the safety accident rate Asgl, using the following formula:

[0030]

[0031] In the formula, Asgl represents the accident rate, Aqsl represents the total number of accidents that occur within a certain period of time, and Zgxs represents the total number of working hours of all workers. The result is multiplied by one million to calculate the number of accidents per million working hours.

[0032] Furthermore, the evaluation model module establishes an evaluation model based on historical construction data analysis and expert evaluation, assigns weights to various indicators, and calculates the comprehensive construction effect score Zhpf. The calculation formula is as follows:

[0033]

[0034] In the formula, Zhpf represents the overall score of construction effect, and X i Let Q represent the score of the i-th indicator. i This represents the weight of the i-th indicator, reflecting its importance to the overall construction effect.

[0035] A method for using a device for evaluating the construction effect of a double-track main tunnel with an auxiliary shaft for an extra-long inclined shaft includes:

[0036] The data acquisition module collects data in real time by installing temperature sensors, humidity sensors, vibration sensors, laser rangefinders, and concrete strength testers at the construction site, and uses a data logger to periodically upload the sensor data to the central database.

[0037] The data processing module cleans and organizes the collected data, performs data deduplication and formatting, outlier detection and processing, and data normalization, and then transmits the processed data to the evaluation index calculation module.

[0038] The evaluation index calculation module calculates various indicators based on the processed data, including construction progress deviation Sjpc, construction quality pass rate Gzhg, environmental impact index Hyzs, and safety accident rate Asgl, and transmits the calculation results to the evaluation model module.

[0039] The evaluation model module establishes an evaluation model based on historical construction data analysis and expert evaluation, assigns weights to various indicators, calculates the comprehensive construction effect score Zhpf, and transmits the results to the results display module.

[0040] The results display module generates a construction effect evaluation report based on the comprehensive score of the construction effect, and intuitively displays the evaluation results.

[0041] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0042] This invention utilizes a data acquisition module that installs temperature sensors, humidity sensors, vibration sensors, laser rangefinders, and concrete strength testers at the construction site to collect data in real time. A data logger periodically uploads the sensor data to a central database. A data processing module cleans and organizes the collected data, performing deduplication, formatting, outlier detection and processing, and data normalization. The processed data is then passed to an evaluation index calculation module, which calculates various indicators based on the processed data, including construction progress deviation (Sjpc), construction quality pass rate (Gzhg), environmental impact index (Hyzs), and safety accident rate (Asgl). The calculation results are then passed to an evaluation model module, which establishes an evaluation model based on historical construction data analysis and expert evaluation. This model assigns weights to each indicator and calculates a comprehensive construction effect score (Zhpf). Finally, a results display module generates a construction effect evaluation report based on the comprehensive score, visually displaying the evaluation results. By deploying numerous sensors to collect construction data and transmitting it to a central database, and then using this data for analysis and evaluation model building to assess construction effectiveness, the accuracy and reliability of construction effect evaluation are improved. Attached Figure Description

[0043] Figure 1 This is a block diagram of the device of the present invention. Detailed Implementation

[0044] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0045] A device for evaluating the construction effect of an extra-long inclined shaft auxiliary tunnel with dual-track main tunnel; please refer to [link / reference]. Figure 1 The device includes a data acquisition module, a data processing module, an evaluation index calculation module, an evaluation model module, and a result display module.

[0046] The data acquisition module, by installing various sensors at the construction site, including temperature sensors, humidity sensors, vibration sensors, laser rangefinders, and concrete strength testers, can monitor and collect key data on the construction environment and material conditions in real time. The deployment of these sensors can comprehensively cover the construction area, capturing various factors that may affect construction quality and safety. The data logger is responsible for regularly uploading the data collected by these sensors to the central database to ensure the timeliness and completeness of the data. In this way, the construction team can obtain information on environmental changes and material performance at the construction site in real time, thereby providing a scientific basis for subsequent construction decisions.

[0047] The data processing module is responsible for comprehensively cleaning and organizing the raw data collected from the construction site to ensure its accuracy and reliability. The module performs deduplication to eliminate duplicate data caused by multiple collections or transmission errors, thus avoiding interference with subsequent analysis results. Data formatting ensures all data is presented in a uniform format for easier processing and analysis. The module uses algorithms to identify data points that significantly deviate from the normal range. These outliers may be caused by sensor malfunctions, environmental interference, or human error. Appropriate processing of these outliers, such as removal or correction, further improves the quality of the dataset. Data normalization ensures that data of different dimensions and ranges can be compared and analyzed under the same standard. This process converts data into a relatively standard range, making various indicators comparable during calculation, thus providing a clear and consistent data foundation for the subsequent evaluation indicator calculation module.

[0048] The formula for removing duplicate data is as follows:

[0049] hash(Sg)=H(Sg1, Sg2, Sg3,…,Sg n ,)

[0050] In the formula, hash(Sg) represents the new dataset after removing duplicates from the construction dataset Sg, H represents the hash function, and Sg1, Sg2, Sg3, ..., Sg n This represents each data segment in the construction dataset. After deduplication, the amount of data stored will be significantly reduced. This not only saves storage space but also improves the efficiency of data retrieval and processing, making subsequent data analysis and calculation more efficient.

[0051] The formula for outlier detection is as follows:

[0052]

[0053] In the formula, Zc represents the standard deviation distance between the data point Xk and its mean μ1. Xk represents the specific data point to be analyzed, which is an observation in the dataset. μ1 represents the mean of the dataset, and σ represents the standard deviation of the dataset, which measures the dispersion of the data point from the mean. When the value of Zc is greater than 3, it indicates that the value is an outlier. Outliers may have a significant impact on the data analysis results and lead to erroneous conclusions. By timely identifying and handling outliers, the analysis results will be more reliable and can more realistically reflect the actual situation in the construction process.

[0054] After being cleaned, sorted, and normalized, the data will be transmitted to the evaluation index calculation module to support more accurate and effective evaluation of construction results.

[0055] The evaluation index calculation module calculates various indicators based on the processed data, including construction progress deviation Sjpc, construction quality pass rate Gzhg, environmental impact index Hyzs, and safety accident rate Asgl, among which:

[0056] The formula for calculating construction progress deviation is as follows:

[0057]

[0058] By calculating the construction schedule deviation, management can promptly identify delays or schedule lags during construction. This timeliness helps to quickly take corrective measures to ensure that the project progresses as planned. In the formula, Sjpc represents the construction schedule deviation, Sjgl represents the actual amount of work completed, and Jhgl represents the planned amount of work completed. By analyzing the schedule deviation, the construction team can identify the factors affecting construction efficiency and take corresponding improvement measures to enhance overall construction efficiency.

[0059] The formula for calculating the construction quality pass rate is as follows:

[0060]

[0061] Calculating the construction quality pass rate ensures that the construction process complies with relevant industry standards and specifications, which helps maintain the overall quality of the project and ensures the reliability of the construction results. In the formula, Gzhg represents the construction quality pass rate, Hgxm represents the number of items that are deemed qualified after quality inspection, and Zxms represents the total number of all construction items. By analyzing the quality pass rate, the construction team can identify the key factors affecting the construction quality, thereby optimizing the construction technology and process and improving the overall construction efficiency.

[0062] The formula for calculating the Environmental Impact Index is as follows:

[0063]

[0064] Calculating the Environmental Impact Index (EI) can help teams assess the environmental impact of different construction plans, thereby selecting more environmentally friendly construction methods and reducing resource waste and pollution. In the formula, Hyzs represents the EI, and E represents the Environmental Impact Index. i W represents the impact value of the i-th environmental factor. i This represents the weight of the i-th environmental factor. The weight is set based on expert evaluation, historical data, and industry standards. n represents the total number of environmental factors. Accurate environmental impact index data provides management with a scientific basis for decision-making, enabling them to better assess environmental impacts and potential risks when formulating project management strategies.

[0065] The formula for calculating the accident rate is as follows:

[0066]

[0067] Monitoring and analyzing the accident rate provides construction companies with a basis for improving safety management and helps them formulate more effective safety management policies and measures. In the formula, Asgl represents the accident rate, Aqsl represents the total number of accidents that occur within a certain period of time, and Zgxs represents the total number of working hours of all workers. Multiplying the result by one million is used to calculate the number of accidents per million working hours. This standardization allows for effective comparison between projects of different sizes. By analyzing the accident rate, management can allocate safety resources more rationally and ensure that key areas and links are adequately protected.

[0068] The evaluation model module establishes an evaluation model based on historical construction data analysis and expert evaluation. By combining the results of expert evaluation and data analysis, the weight of each indicator is determined using the analytic hierarchy process (AHP), and the comprehensive construction effect score Zhpf is calculated as follows:

[0069]

[0070] The comprehensive evaluation transforms the construction effect into a quantifiable indicator, allowing for direct comparison between different projects. This quantitative approach helps to clearly identify the strengths and weaknesses of the construction, facilitating subsequent analysis and decision-making. In the formula, Zhpf represents the comprehensive evaluation score for construction effect, and X... i Let Q represent the score of the i-th indicator. i The weight of the i-th indicator reflects its importance to the overall construction effect. By comprehensively considering multiple key indicators such as construction period, cost, quality, and safety, the comprehensive score can provide a comprehensive evaluation of the construction effect and avoid the one-sidedness that may be caused by a single indicator.

[0071] The results display module will automatically generate a construction effect evaluation report based on the calculated comprehensive score and analysis results. The report includes the overall score of the construction effect and its distribution under different evaluation indicators. It provides a detailed analysis of the specific scores of each evaluation indicator, such as construction period, cost, quality, and safety, and points out the advantages and disadvantages of each indicator. Using data visualization technology, it generates various charts, including bar charts, pie charts, and radar charts, to intuitively display the performance of each indicator and help users quickly understand the data.

[0072] The results display module also supports exporting the generated evaluation report to multiple formats, including PDF, Word, and Excel, making it convenient for users to archive and share. In addition, the module can integrate email sending functionality, allowing users to directly send the report to relevant parties.

[0073] By deploying a large number of sensors to collect construction data and transmitting it to a central database, the accuracy and reliability of construction effect evaluation are improved by using these data to analyze, calculate, and establish evaluation models.

[0074] A method for using a construction effect evaluation device for a double-track main tunnel auxiliary tunnel of an extra-long inclined shaft includes: a data acquisition module that collects data in real time by installing temperature sensors, humidity sensors, vibration sensors, laser rangefinders, and concrete strength testers at the construction site, and periodically uploads the sensor data to a central database using a data logger; a data processing module that cleans and organizes the collected data, performs data deduplication and formatting, outlier detection and processing, and data normalization, and transmits the processed data to an evaluation index calculation module; the evaluation index calculation module calculates various indicators based on the processed data, including construction progress deviation (Sjpc), construction quality pass rate (Gzhg), environmental impact index (Hyzs), and safety accident rate (Asgl), and transmits the calculation results to an evaluation model module; the evaluation model module establishes an evaluation model based on historical construction data analysis and expert evaluation, assigns weights to various indicators, calculates a comprehensive construction effect score (Zhpf), and transmits the results to a result display module; and the result display module generates a construction effect evaluation report based on the comprehensive construction effect score, intuitively displaying the evaluation results.

[0075] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A device for evaluating the construction effect of a double-track main tunnel with an auxiliary shaft for an extra-long inclined shaft, characterized in that, include: The system includes a data acquisition module, a data processing module, an evaluation index calculation module, an evaluation model module, and a results display module. The data acquisition module collects data in real time by installing temperature sensors, humidity sensors, vibration sensors, laser rangefinders, and concrete strength testers at the construction site, and uses a data logger to periodically upload the sensor data to the central database. The data processing module cleans and organizes the collected data, performs data deduplication and formatting, outlier detection and processing, and data normalization, and then transmits the processed data to the evaluation index calculation module. The evaluation index calculation module calculates various indicators based on the processed data, including construction progress deviation Sjpc, construction quality pass rate Gzhg, environmental impact index Hyzs, and safety accident rate Asgl, and transmits the calculation results to the evaluation model module. The evaluation model module establishes an evaluation model based on historical construction data analysis and expert evaluation, assigns weights to various indicators, calculates the comprehensive construction effect score Zhpf, and transmits the results to the result display module. The results display module generates a construction effect evaluation report based on the comprehensive score of the construction effect, and intuitively displays the evaluation results.

2. The device for evaluating the construction effect of a double-track main tunnel with auxiliary shafts in an extra-long inclined shaft as described in claim 1, characterized in that: The data processing module cleans and organizes the collected data, and performs data deduplication. The data deduplication formula is shown below: hash(Sg)=H(Sg1,Sg2,Sg3,…,Sg n ,) In the formula, hash(Sg) represents the new dataset after removing duplicates from the construction dataset Sg, H represents the hash function, and Sg1, Sg2, Sg3, ..., Sg n This represents each data segment in the construction dataset.

3. The device for evaluating the construction effect of a double-track main tunnel with auxiliary shafts in an extra-long inclined shaft as described in claim 2, characterized in that: The data processing module cleans and organizes the collected data and performs outlier detection. The outlier detection formula is shown below: In the formula, Zc represents the standard deviation distance between the data point Xk and its mean μ1. Xk represents the specific data point to be analyzed, which is an observation in the dataset. μ1 represents the mean of the dataset. σ represents the standard deviation of the dataset, which measures the dispersion of the data point from the mean. When the value of Zc is greater than 3, it indicates that the value is an outlier.

4. The device for evaluating the construction effect of a double-track main tunnel with auxiliary shafts in an extra-long inclined shaft as described in claim 3, characterized in that: The evaluation index calculation module calculates various indicators based on the processed data, including the construction progress deviation Sjpc, and the calculation formula is as follows: In the formula, Sjpc represents the construction schedule deviation, Sjgl represents the actual amount of work completed, and Jhgl represents the planned amount of work completed.

5. The device for evaluating the construction effect of a double-track main tunnel with auxiliary shafts in an extra-long inclined shaft according to claim 4, characterized in that: The evaluation index calculation module calculates various indicators based on the processed data, including the construction quality pass rate (Gzhg). The calculation formula is as follows: In the formula, Gzhg represents the construction quality pass rate, Hgxm represents the number of items that are deemed qualified after quality inspection, and Zxms represents the total number of all construction items.

6. The device for evaluating the construction effect of a double-track main tunnel with auxiliary shafts in an extra-long inclined shaft as described in claim 5, characterized in that: The evaluation index calculation module calculates various indicators based on the processed data, including the environmental impact index Hyzs. The calculation formula is as follows: In the formula, Hyzs represents the environmental impact index, and E i W represents the impact value of the i-th environmental factor. i This represents the weight of the i-th environmental factor. The weight is set based on expert evaluation, historical data, and industry standards. n represents the total number of environmental factors.

7. The device for evaluating the construction effect of a double-track main tunnel with auxiliary shafts in an extra-long inclined shaft as described in claim 6, characterized in that: The evaluation index calculation module calculates various indicators based on the processed data, including the safety accident rate Asgl, and the calculation formula is as follows: In the formula, Asgl represents the accident rate, Aqsl represents the total number of accidents that occur within a certain period of time, and Zgxs represents the total number of working hours of all workers. The result is multiplied by one million to calculate the number of accidents per million working hours.

8. The device for evaluating the construction effect of a double-track main tunnel with auxiliary shafts in an extra-long inclined shaft as described in claim 7, characterized in that: The evaluation model module establishes an evaluation model based on historical construction data analysis and expert evaluation, assigns weights to various indicators, and calculates the comprehensive construction effect score Zhpf. The calculation formula is as follows: In the formula, Zhpf represents the overall score of construction effect, and X i Let Q represent the score of the i-th indicator. i This represents the weight of the i-th indicator, reflecting its importance to the overall construction effect.

9. A method for using a device for evaluating the construction effect of a double-track main tunnel with an auxiliary shaft for an extra-long inclined shaft, characterized in that, include: The data acquisition module collects data in real time by installing temperature sensors, humidity sensors, vibration sensors, laser rangefinders, and concrete strength testers at the construction site, and uses a data logger to periodically upload the sensor data to the central database. The data processing module cleans and organizes the collected data, performs data deduplication and formatting, outlier detection and processing, and data normalization, and then transmits the processed data to the evaluation index calculation module. The evaluation index calculation module calculates various indicators based on the processed data, including construction progress deviation Sjpc, construction quality pass rate Gzhg, environmental impact index Hyzs, and safety accident rate Asgl, and transmits the calculation results to the evaluation model module. The evaluation model module establishes an evaluation model based on historical construction data analysis and expert evaluation, assigns weights to various indicators, calculates the comprehensive construction effect score Zhpf, and transmits the results to the results display module. The results display module generates a construction effect evaluation report based on the comprehensive score of the construction effect, and intuitively displays the evaluation results.

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