Extra-long inclined shaft auxiliary tunnel double-track main tunnel construction effect evaluation device and use method thereof

Abstract

The invention relates to the technical field of tunnel construction effect evaluation, and discloses an extra-long inclined shaft auxiliary tunnel double-track main tunnel construction effect evaluation device and a using method thereof. The device collects data in real time through the data collection module, the data processing module cleans and arranges the collected data, performs data deduplication and formatting, abnormal value detection and processing and data normalization, and the evaluation index calculation module calculates various indexes according to the processed data. Comprising construction progress deviation, construction quality qualified rate, environment influence index and safety accident rate, and the evaluation model module establishes an evaluation model according to historical construction data analysis and expert evaluation, distributes weight for each index to calculate a construction effect comprehensive score, and calculates the construction effect comprehensive score. And the result display module generates a construction effect evaluation report according to the construction effect comprehensive score.

Description

Technical Field

[0001] The present invention relates to the technical field of tunnel construction effect evaluation, and in particular to a device for evaluating the construction effect of a double-line main tunnel of an extra-long inclined shaft auxiliary tunnel and a method for using the device. Background Art

[0002] In underground engineering construction, the construction of double-line main tunnels of extra-long inclined shaft auxiliary tunnels is a complex and critical link. Extra-long inclined shafts are usually used in areas with complex geological conditions or difficult construction. During the construction process, they may face uncertain factors such as groundwater, soft soil, and earthquakes. Through detailed evaluation of the construction effect, potential safety hazards can be discovered and resolved in a timely manner, which helps prevent accidents and ensure the safety of construction personnel and future users. During the construction process, engineering and technical personnel can evaluate the construction effect and gain an in-depth understanding of the applicability and effects of various construction methods and materials, promote the improvement of construction technology, improve construction efficiency, and reduce resource waste. Through the evaluation of the construction effect, problems and deficiencies in the construction process can be discovered, thereby avoiding additional costs caused by repairs and rectifications, helping project managers control costs within the budget and avoiding unnecessary overspending. Good construction results can not only ensure the service life of the tunnel, but also reduce the need for future maintenance and repairs. Through a comprehensive evaluation of the construction effect, potential long-term use problems can be identified in advance, preventive measures can be taken, and the service life of the tunnel can be extended. Therefore, it is of great significance to evaluate the construction effect of the double-line main tunnel of the extra-long inclined shaft auxiliary tunnel.

[0003] In the existing evaluation device for the construction effect of the double-line main tunnel of the extra-long inclined shaft auxiliary tunnel, the collection and transmission of real-time data may be limited in a complex construction environment, resulting in a lack of data support when establishing the evaluation model, which reduces the accuracy and reliability of the construction effect evaluation. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the shortcomings of the prior art, the present invention provides a construction effect evaluation device for a double-line main tunnel of an extra-long inclined shaft auxiliary tunnel and a method for using the same. The device has 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. The data recorder is used to regularly upload the sensor data to a central database. The data processing module cleans and organizes the collected data, performs data deduplication and formatting, detects and processes outliers, and normalizes the data. The processed data is passed to an evaluation index calculation module, which calculates various indicators according to the processed data, including the deviation of the construction progress. The evaluation model module establishes an evaluation model based on the historical construction data analysis and expert evaluation, and assigns weights to various indicators to calculate the comprehensive score of construction effect Zhpf. The result display module generates a construction effect evaluation report based on the comprehensive score of construction effect, and displays the evaluation results intuitively. A large number of sensors are arranged to collect construction data and transmit them to the central database. These data are used to analyze and calculate and establish an evaluation model to evaluate the construction effect, which improves the accuracy and reliability of construction effect evaluation and solves the above problems.

[0006] (II) Technical solution

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A device for evaluating the construction effect of a double-line main tunnel of an extra-long inclined shaft auxiliary tunnel, comprising 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 range finders and concrete strength testers at the construction site, and uses data recorders to regularly upload sensor data to a 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 passes the processed data to the evaluation index calculation module;

[0011] The evaluation index calculation module calculates various indicators according to the processed data, including the construction progress deviation Sjpc, the construction quality qualification rate Gzhg, the environmental impact index Hyzs and the 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 combined with expert evaluation, assigns weights to various indicators to calculate the comprehensive score Zhpf of the construction effect, and passes the result to the result display module;

[0013] The result display module generates a construction effect evaluation report according to 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 and performs data deduplication. The data deduplication formula is as follows:

[0015] hash(Sg)=H(Sg 1 , Sg 2 , Sg 3 ,…,Sg n ,)

[0016] In the formula, hash(Sg) represents the new dataset after the construction dataset Sg is deduplicated, H represents the hash function, and Sg 1 , Sg 2 , Sg 3 , ..., Sg n Represents each data segment in the construction dataset.

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

[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 data set, μ1 represents the mean of the data set, and σ represents the standard deviation of the data set, which measures the degree of dispersion between the data point and the mean. When the value of Zc is greater than 3, it means that the value is an abnormal data value.

[0020] Furthermore, the evaluation index calculation module calculates various indicators according to the processed data, including the construction progress deviation Sjpc, and the calculation formula is as follows:

[0021]

[0022] In the formula, Sjpc represents the construction progress deviation, Sjgl represents the actual workload completed, and Jhgl represents the planned workload completed.

[0023] Furthermore, the evaluation index calculation module calculates various indicators according to the processed data, including the construction quality qualification rate Gzhg, and the calculation formula is as follows:

[0024]

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

[0026] Furthermore, the evaluation index calculation module calculates various indicators according to the processed data, including the environmental impact index Hyzs, and the calculation formula is as follows:

[0027]

[0028] In the formula, Hyzs represents the environmental impact index, E i represents the impact value of the i-th environmental factor, W i 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 according to the processed data, including the safety accident rate Asgl, and the calculation formula is as follows:

[0030]

[0031] In the formula, Asgl represents the safety accident rate, Aqsl represents the total number of safety accidents that occur within a certain period of time, and Zgxs represents the total number of hours worked by 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 combined with expert evaluation, assigns weights to various indicators, and calculates the comprehensive score Zhpf of the construction effect. The calculation formula is as follows:

[0033]

[0034] In the formula, Zhpf represents the comprehensive score of construction effect, X i represents the score of the i-th indicator, Q i It represents the weight of the i-th indicator, reflecting the importance of this indicator to the overall construction effect.

[0035] A method for using a construction effect evaluation device for a double-line main tunnel of an extra-long inclined shaft auxiliary tunnel, comprising:

[0036] The data acquisition module collects data in real time by installing temperature sensors, humidity sensors, vibration sensors, laser range finders, and concrete strength testers at the construction site, and uses data recorders to regularly upload sensor data to a 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 passes the processed data to the evaluation index calculation module;

[0038] The evaluation index calculation module calculates various indicators based on the processed data, including the construction progress deviation Sjpc, the construction quality qualification rate Gzhg, the environmental impact index Hyzs and the safety accident rate Asgl, and passes 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 score Zhpf of the construction effect, and passes the result to the result display module;

[0040] The result 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 present invention has the following beneficial effects:

[0042] The present invention collects data in real time by installing temperature sensors, humidity sensors, vibration sensors, laser rangefinders and concrete strength testers at the construction site through a data acquisition module, and uses a data recorder to regularly upload sensor data to a central database. The data processing module cleans and organizes the collected data, performs data deduplication and formatting, abnormal value 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 according to the processed data, including construction progress deviation Sjpc, construction quality qualification 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 according to historical construction data analysis combined with expert evaluation, assigns weights to various indicators and calculates a comprehensive construction effect score Zhpf. The result display module generates a construction effect evaluation report according to the comprehensive construction effect score, intuitively displays the evaluation results, and collects construction data by arranging a large number of sensors and transmits them to a central database. The construction effect is evaluated by analyzing and calculating these data and establishing an evaluation model, thereby improving the accuracy and reliability of the construction effect evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 A block diagram of the device of the present invention. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] A device for evaluating the construction effect of a double-line main tunnel of an extra-long inclined shaft auxiliary tunnel. 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 can monitor and collect key data on the construction environment and material status in real time by installing a variety of sensors at the construction site, including temperature sensors, humidity sensors, vibration sensors, laser rangefinders, and concrete strength testers. The deployment locations of these sensors can fully cover the construction area and capture various factors that may affect the quality and safety of construction. The data recorder is responsible for regularly uploading the data collected by these sensors to the central database to ensure the timeliness and integrity of the data. In this way, the construction team can obtain real-time environmental changes and material performance information on the construction site, thereby providing a scientific basis for subsequent construction decisions;

[0047] The data processing module is responsible for comprehensive cleaning and sorting of the raw data collected from the construction site to ensure the accuracy and reliability of the data. The module will deduplicate the data and eliminate duplicate data caused by multiple collections or transmission errors, thereby avoiding interference with subsequent analysis results. The data formatting step will ensure that all data are presented in a unified format to facilitate subsequent processing and analysis. The module will use algorithm formulas to identify data points that are significantly deviated from the normal range. These outliers may be caused by sensor failure, environmental interference or human error. By properly processing these outliers, such as eliminating or correcting them, the quality of the data set can be further improved. Data normalization will ensure that data of different dimensions and ranges can be compared and analyzed under the same standard. This process converts the data into a relatively standard range, making the various indicators comparable when calculated, thereby providing a clear and consistent data basis for the subsequent evaluation indicator calculation module, including:

[0048] The data deduplication formula is as follows:

[0049] hash(Sg)=H(Sg 1 , Sg 2 , Sg 3 ,…,Sg n ,)

[0050] In the formula, hash(Sg) represents the new dataset after the construction dataset Sg is deduplicated, H represents the hash function, and Sg 1 , Sg 2 , Sg 3 , ..., Sg n Represents each data segment in the construction data set. After deduplication, the amount of stored data will be significantly reduced, which 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 outlier detection formula 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 data set, μ1 represents the mean of the data set, and σ represents the standard deviation of the data set, which measures the degree of dispersion between the data point and the mean. When the value of Zc is greater than 3, it means that the value is an abnormal data value. Abnormal values ​​may have a significant impact on the data analysis results and lead to erroneous conclusions. By timely identifying and processing abnormal values, the analysis results will be more reliable and can more truly reflect the actual situation in the construction process.

[0054] The cleaned, sorted and normalized data will be passed to the evaluation index calculation module to support more accurate and effective construction effect evaluation;

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

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

[0057]

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

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

[0060]

[0061] By calculating the construction quality pass rate, we can ensure that the construction process complies with relevant industry standards and specifications, which helps maintain the overall quality of the project and ensure the reliability of construction results. In the formula, Gzhg represents the construction quality pass rate, Hgxm represents the number of projects that have been identified as qualified after quality inspection, and Zxms represents the total number of all construction projects. By analyzing the quality pass rate, the construction team can identify the key factors that affect the construction quality, thereby optimizing the construction process and process and improving the overall construction efficiency.

[0062] The environmental impact index calculation formula is as follows:

[0063]

[0064] Calculating the environmental impact index can help the team evaluate the impact of different construction plans on the environment, so as to choose more environmentally friendly construction methods and reduce resource waste and pollution. In the formula, Hyzs represents the environmental impact index, E i represents the impact value of the i-th environmental factor, W i 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 safety accident rate is as follows:

[0066]

[0067] The monitoring and analysis of the safety accident rate provides construction units with a basis for improving safety management and can help formulate more effective safety management policies and measures. In the formula, Asgl represents the safety accident rate, Aqsl represents the total number of safety accidents that occur within a certain period of time, and Zgxs represents the total number of hours worked by all workers. The result is multiplied by one million to count the number of accidents per million working hours. This standardization allows effective comparisons between projects of different sizes. By analyzing the safety accident rate, management can allocate safety resources more reasonably to ensure that key areas and links are fully protected.

[0068] The evaluation model module establishes an evaluation model based on historical construction data analysis combined with expert evaluation. By combining the results of expert evaluation and data analysis, the analytic hierarchy process is used to determine the weights of various indicators and calculate the comprehensive score of the construction effect Zhpf, which is calculated as follows:

[0069]

[0070] The comprehensive score converts the construction effect into a quantitative indicator, so that the effects of different projects can be directly compared. This quantitative method helps to clarify the pros and cons of the construction and facilitates subsequent analysis and decision-making. In the formula, Zhpf represents the comprehensive score of the construction effect, X i represents the score of the i-th indicator, Q i It represents the weight of the i-th indicator, reflecting the importance of this indicator to the overall construction effect. By comprehensively considering multiple key indicators such as construction period, cost, quality, safety, etc., 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 result 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, and conducts a detailed analysis of the specific scores of each evaluation indicator such as construction period, cost, quality, safety, etc., pointing out the advantages and disadvantages of each indicator. Using data visualization technology, it generates various charts, including bar charts, pie charts, and radar charts, which intuitively display the performance of each indicator and help users quickly understand the data;

[0072] The result display module also supports exporting the generated evaluation report into multiple formats, including PDF, Word, and Excel, which is convenient for users to archive and share. At the same time, the module can integrate the email sending function, allowing users to directly send the report to relevant parties.

[0073] A large number of sensors are deployed to collect construction data and transmit it to a central database. These data are used to analyze and calculate and establish an evaluation model to evaluate the construction effect, thereby improving the accuracy and reliability of the construction effect evaluation.

[0074] A method for using a construction effect evaluation device for a double-line main tunnel of an extra-long inclined shaft auxiliary tunnel comprises: a data acquisition module collects data in real time by installing a temperature sensor, a humidity sensor, a vibration sensor, a laser rangefinder and a concrete strength tester at a construction site, and uses a data recorder to regularly upload the sensor data to a central database; a data processing module cleans and organizes the collected data, performs data deduplication and formatting, abnormal value 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 according to the processed data, including a construction progress deviation Sjpc, a construction quality qualification rate Gzhg, an environmental impact index Hyzs and a safety accident rate Asgl, and transmits the calculation results to an evaluation model module; the evaluation model module establishes an evaluation model according to historical construction data analysis combined with expert evaluation, assigns weights to various indicators to calculate a comprehensive construction effect score Zhpf, and transmits the results to a result display module; the result display module generates a construction effect evaluation report according to the comprehensive construction effect score, and intuitively displays the evaluation results.

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

Claims

1. A device for evaluating the construction effect of a double-line main tunnel of an extra-long inclined shaft auxiliary tunnel, characterized in that: include: Data collection module, data processing module, evaluation index calculation module, evaluation model module and result display module; The data acquisition module collects data in real time by installing temperature sensors, humidity sensors, vibration sensors, laser range finders and concrete strength testers at the construction site, and uses data recorders to regularly upload sensor data to a 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 passes the processed data to the evaluation index calculation module; The evaluation index calculation module calculates various indicators according to the processed data, including the construction progress deviation Sjpc, the construction quality qualification rate Gzhg, the environmental impact index Hyzs and the 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 combined with expert evaluation, assigns weights to various indicators to calculate the comprehensive score Zhpf of the construction effect, and passes the result to the result display module; The result display module generates a construction effect evaluation report according to the comprehensive score of the construction effect and intuitively displays the evaluation results.

2. The construction effect evaluation device for the double-line main tunnel of the extra-long inclined shaft auxiliary tunnel according to claim 1 is characterized in that: The data processing module cleans and organizes the collected data and removes duplicate data. The formula for removing duplicate data is as follows: hash(Sg)=H(Sg1,Sg2,Sg3,…,Sg n ,) In the formula, hash(Sg) represents the new data set after the construction data set Sg is deduplicated, H represents the hash function, Sg1, Sg2, Sg3, ..., Sg n Represents each data segment in the construction dataset.

3. The construction effect evaluation device for the double-line main tunnel of the extra-long inclined shaft auxiliary tunnel according to claim 2 is characterized in that: The data processing module cleans and organizes the collected data and performs data outlier detection. The outlier detection formula is as follows: 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 data set, μ1 represents the mean of the data set, and σ represents the standard deviation of the data set, which measures the degree of dispersion between the data point and the mean. When the value of Zc is greater than 3, it means that the value is an abnormal data value.

4. The construction effect evaluation device for the double-line main tunnel of the extra-long inclined shaft auxiliary tunnel according to claim 3 is characterized by: The evaluation index calculation module calculates various indicators according to the processed data, including the construction progress deviation Sjpc, and the calculation formula is as follows: In the formula, Sjpc represents the construction progress deviation, Sjgl represents the actual workload completed, and Jhgl represents the planned workload completed.

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

6. The construction effect evaluation device for the double-line main tunnel of the extra-long inclined shaft auxiliary tunnel according to claim 5 is characterized by: The evaluation index calculation module calculates various indicators according to the processed data, including the environmental impact index Hyzs, and the calculation formula is as follows: In the formula, Hyzs represents the environmental impact index, E i represents the impact value of the i-th environmental factor, W i 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-line main tunnel of an extra-long inclined shaft auxiliary tunnel according to claim 6 is characterized in that: The evaluation index calculation module calculates various indicators according to the processed data, including the safety accident rate Asgl, and the calculation formula is as follows: In the formula, Asgl represents the safety accident rate, Aqsl represents the total number of safety accidents that occur within a certain period of time, and Zgxs represents the total number of hours worked by all workers. The result is multiplied by one million to calculate the number of accidents per million working hours.

8. The construction effect evaluation device for the double-line main tunnel of the extra-long inclined shaft auxiliary tunnel according to claim 7 is characterized by: The evaluation model module establishes an evaluation model based on historical construction data analysis combined with expert evaluation, assigns weights to various indicators and calculates the comprehensive score Zhpf of the construction effect. The calculation formula is as follows: In the formula, Zhpf represents the comprehensive score of construction effect, X i represents the score of the i-th indicator, Q i It represents the weight of the i-th indicator, reflecting the importance of this indicator to the overall construction effect.

9. A method for using a device for evaluating the construction effect of a double-line main tunnel of an extra-long inclined shaft auxiliary tunnel, characterized in that: include: The data acquisition module collects data in real time by installing temperature sensors, humidity sensors, vibration sensors, laser range finders, and concrete strength testers at the construction site, and uses data recorders to regularly upload sensor data to a 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 passes the processed data to the evaluation index calculation module; The evaluation index calculation module calculates various indicators based on the processed data, including the construction progress deviation Sjpc, the construction quality qualification rate Gzhg, the environmental impact index Hyzs and the safety accident rate Asgl, and passes 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 score Zhpf of the construction effect, and passes the result to the result display module; The result 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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