Traffic construction project completion detection method and system, medium and program product

Abstract

The invention discloses a traffic construction project completion detection method and system, a medium and a program product, and in the method, the accuracy of completion detection is improved.

Description

Technical Field

[0001] The present application belongs to the field of traffic engineering inspection, and in particular, relates to a method, system, medium and program product for inspection of the completion of a traffic construction project. Background Art

[0002] As the scale of transportation construction projects continues to expand, the workload and complexity of project completion inspections are increasing. Previously, the completion inspection of transportation construction projects was mainly completed by manual operations. Inspectors needed to manually record a large amount of inspection data and compare these data with the standards. This method is not only inefficient, but also prone to data recording errors, missing inspection items, and other problems, which seriously affect the accuracy and reliability of the inspection results.

[0003] In related technologies, an electronic testing information management platform can be established to realize the automatic collection and storage of testing data, and the corresponding products can be tested according to the information to be tested submitted by the construction unit to achieve the purpose of sampling testing and improve the efficiency of completion testing.

[0004] However, the samples currently used by testing agencies for random inspections depend on samples submitted by the construction units themselves. The construction units may submit products that they are sure can pass the inspection, which reduces the randomness of the random inspections. In addition, the construction units may submit inspection reports before completion, and lack inspections on products that continue to be produced after the inspections, thereby reducing the accuracy of the completion inspections. Summary of the invention

[0005] The present application provides a method, system, medium and program product for delivery and completion detection of transportation construction projects, which are used to improve the accuracy of delivery and completion detection.

[0006] In the first aspect, the present application provides a method for inspection of the completion of a transportation construction project. When it is determined that the construction unit has submitted an inspection report for the completed project information, random sampling is performed in the inspection sample library to obtain a preset number of inspection numbers, and an initial inspection report is generated; Determine whether there are samples in the engineering information with numbers that are all the same as the test numbers; If all the same samples exist, the samples to be tested whose numbers in the engineering information are the same as the test number are determined, and the standard-related information of the samples to be tested is extracted; Generate a test work order corresponding to the sample to be tested, and send each test work order to the tester's terminal; When the test results entered by the test personnel are confirmed, the test results are input into the completion inspection system for one-to-one comparison with the relevant information of each standard; Obtain the comparison result of each sample to be tested output by the completion inspection system, and the comparison result is qualified or unqualified; Determine whether there is a comparison result that is unqualified; If there is no failure, the test results and comparison results are added to the initial test report to obtain a first final test report; If there is any failure, the test results and samples to be tested corresponding to the failure are set to a preset format and added to the initial test report to obtain a second final test report; If all identical samples do not exist, the missing samples are determined, and the incomplete samples to be tested that have the same test number as the test number in the project information and the standard-related information corresponding to the incomplete samples to be tested are determined, and a test work order corresponding to the samples to be tested is generated one by one, and each test work order is sent to the tester's terminal; After the first final test report or the second final test report is generated, the missing samples are set to a preset format and added to the first final test report or the second final test report to obtain a third final test report.

[0007] By adopting the above technical solution, random sampling is performed in the test sample library to obtain the test number, and classification and processing are performed according to whether there are samples with the same number in the engineering information, thereby improving the normalization and standardization of the test process. The system automatically generates a test work order and sends it to the tester's terminal, reducing the manual operation links and improving work efficiency. The automatic comparison and classification processing mechanism of the test results enables qualified and unqualified samples to be processed differently, and ensures the standardization of the test report through the setting of the preset format. The special processing process for missing samples improves the completeness and accuracy of the test report. It reduces the possibility of human error, improves the quality and reliability of the test work, and improves the traceability and reviewability of the test data through standardized processes and format specifications.

[0008] In combination with some embodiments of the first aspect, in some embodiments, random sampling is performed in the test sample library to obtain a preset number of test numbers, specifically including: Randomly assign a matching number to each sample in the construction unit's to-be-completed project information to obtain a test sample library; Randomly sample from the test sample library to obtain a preset number of samples; The matching numbers corresponding to the preset number of samples are determined to obtain the preset number of detection numbers.

[0009] By adopting the above technical solution, the samples in the engineering information are randomly assigned matching numbers, a test sample library is established, and random sampling is performed in the sample library, thereby improving the randomness of the test sample selection. The mechanism of randomly assigning matching numbers reduces the possibility of human intervention and improves the objectivity of the sampling process. The preset number limitation mechanism ensures the reasonable allocation of the test workload and the optimization of resource utilization, reduces human manipulation in the test process, improves the representativeness and credibility of the test results, and also optimizes the allocation efficiency of test resources.

[0010] In conjunction with some embodiments of the first aspect, in some embodiments, generating a test work order corresponding to the sample to be tested one by one specifically includes: Sort the samples to be tested according to the order of the construction process to obtain a construction process sequence; According to the standard-related information of the sample to be tested, the test standard parameters and judgment thresholds corresponding to each construction process are extracted; Generate a process inspection flow chart in combination with the construction process sequence, which includes the inspection sequence between each construction process; Based on the process inspection flow chart, the inspection linkage mechanism between the construction processes is set up. The inspection linkage mechanism includes the transmission relationship of the inspection results and the mutual verification rules; Generate inspection work order templates based on process inspection flow chart and inspection linkage mechanism; Fill the detection standard parameters and judgment thresholds into the detection work order template to obtain the detection work order.

[0011] By adopting the above technical solution, the samples to be tested are sorted according to the order of construction processes, and the process detection flow chart is generated by combining the detection standard parameters and judgment thresholds, and a systematic detection process management mechanism is established. The setting of the detection linkage mechanism realizes the automatic transmission and mutual verification of the detection results between each process, reducing the omissions and errors in the detection link. The automatic generation and parameter filling mechanism of the detection work order template reduces the manual input link and improves work efficiency. Through the standardized work order generation process, the standardization and consistency of the detection work are guaranteed. At the same time, the setting of the detection linkage mechanism enhances the controllability and accuracy of the detection process.

[0012] In conjunction with some embodiments of the first aspect, in some embodiments, after the missing samples are set to a preset format and added to the first final test report or the second final test report to obtain the third final test report, the method further includes: Determine the final test report, which is the first final test report, the second final test report or the third final test report; Receive the self-inspection report sent by the construction unit, and determine whether the self-inspection report is the same as the final inspection report; If they are the same, the final inspection report will be entered into the completion inspection system; Add a preset credit score for the construction unit in the completion inspection system; If they are not the same, a preset credit score will be deducted in the completion inspection system; Send preset warning information to the management department terminal.

[0013] By adopting the above technical solution, the final test report is compared with the self-test report of the construction unit, and a credit score reward and punishment mechanism is established to form a quality supervision system. The system's automated comparison and scoring mechanism reduces the workload of manual operations and improves supervision efficiency. The dynamic adjustment mechanism of credit points has formed an effective incentive and constraint effect on construction units, promoting them to improve the quality of self-inspection and work responsibility. The automatic push function of early warning information enables management departments to discover and deal with problems in a timely manner, improving the timeliness and effectiveness of quality supervision.

[0014] In combination with some embodiments of the first aspect, in some embodiments, after sending the preset warning information to the management department terminal, the method further includes: Obtaining the total credit score of the construction unit, and if it is determined that the total credit score is greater than a preset minimum credit score, determining the number of times the total credit score changes in a numerical change manner, where the numerical change manner is an increase or decrease; When it is determined that the number of changes in which the value changes in an increasing manner is less than the number of changes in which the value changes in a decreasing manner, the construction unit is marked as a warning construction unit.

[0015] By adopting the above technical solution, the total credit score of the construction unit is obtained, and when the total credit score is greater than the preset minimum credit score, the credit status of the construction unit is judged according to the number of changes in the credit score value. When the number of changes in the value increase is less than the number of changes in the value decrease, the construction unit is marked as a warning construction unit. The judgment is based on the absolute value of the credit score, and the trend of credit score changes is taken into account, so that the system can timely discover the tendency of the construction unit's credit status to deteriorate. By observing the trend of credit score changes, even if the current credit score of the construction unit has not yet dropped to the minimum standard, the system can identify potential problem construction units in advance. It can help management departments take preventive measures before construction quality problems cause serious consequences, reduce project quality risks, reduce rework costs, and improve the foresight and initiative of construction quality management.

[0016] In conjunction with some embodiments of the first aspect, in some embodiments, after determining the final detection report, the method further includes: According to the final inspection report, the dynamic quality assessment and static quality assessment are respectively carried out on the completed construction products to obtain the corresponding dynamic quality assessment results and static quality assessment results; Establish a multi-level dynamic quality assessment system according to the preset multi-level hierarchical structure, which includes the construction project level, section level, unit project level, sub-project level and detection parameter level; According to the multi-level dynamic quality assessment system, the investment amount information and weight coefficient of each level are counted, and a hierarchical scoring calculation model is constructed in combination with the dynamic quality assessment results; Compare the results of the scoring calculation model with the preset quality threshold to generate a real-time quality status report; Push the real-time quality status report to the preset management platform at preset time intervals.

[0017] By adopting the above technical solutions, a multi-level dynamic quality assessment system is established to systematically manage different levels such as construction project level, section level, unit engineering level, sub-engineering level and detection parameter level. Combined with the investment amount information and weight coefficients of each level, a hierarchical scoring calculation model is constructed to make the quality assessment results more objective and accurate. By comparing the results of the scoring calculation model with the preset quality threshold, a real-time quality status report is generated and pushed to the preset management platform at the preset time interval, dynamic monitoring of the project quality status is achieved, which facilitates the timely discovery and location of quality problems and improves the efficiency of quality management. The dynamic assessment and real-time push mechanism enables managers to grasp the changes in project quality in a timely manner, respond quickly, and effectively prevent and control project quality risks.

[0018] In conjunction with some embodiments of the first aspect, in some embodiments, dynamic quality assessment and static quality assessment are respectively performed on the completed construction products according to the final inspection report to obtain corresponding dynamic quality assessment results and static quality assessment results, which specifically include: Calculate the dynamic score of each test parameter based on the test parameter data in the final test report and the preset scoring criteria; Obtain the weight coefficient of the branch project, and perform weighted calculation on the dynamic score according to the weight coefficient to obtain the dynamic score of the branch project; Extract the investment amount data of unit projects and bidding sections, use the investment amount data as weight to perform weighted calculation on the dynamic score of the branch project, and obtain the dynamic quality assessment result; Receive the appearance quality assessment form and the quality assurance document assessment form, extract the deduction items of the appearance quality assessment form and the quality assurance document assessment form based on the preset deduction rules, and generate a deduction list; The static quality assessment results are obtained based on the dynamic quality assessment results and the deduction list.

[0019] By adopting the above technical solution, the test parameter data is dynamically scored and weighted in combination with the weight coefficient of the sub-project. The investment amount data is then used as the weight to calculate the dynamic quality assessment result. At the same time, the deduction items of appearance quality assessment and quality assurance data assessment are considered, and finally the static quality assessment result is obtained. This assessment method organically combines quantitative test data with qualitative evaluation, taking into account the importance of each part of the project and the impact of the investment scale, making the assessment result more scientific and reasonable. Through the combination of dynamic quality assessment and static quality assessment, the quality status of the project can be fully reflected, the one-sidedness that may be caused by a single assessment method can be reduced, and a more reliable basis for project quality management can be provided, which helps to improve the accuracy and reliability of quality management.

[0020] In the second aspect, an embodiment of the present application provides a transportation construction project completion detection system, which includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and one or more processors call the computer instructions to enable the system to execute the method described in the first aspect and any possible implementation method of the first aspect.

[0021] In a third aspect, an embodiment of the present application provides a computer-readable storage medium, comprising instructions, which, when executed on a system, causes the system to execute the method described in the first aspect and any possible implementation of the first aspect.

[0022] In a fourth aspect, an embodiment of the present application provides a computer program product, characterized in that when the computer program product runs on a system, the system executes the method described in any possible implementation manner in the first aspect.

[0023] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. The present application provides a method for inspection of the completion of transportation construction projects. The inspection number is randomly sampled in the inspection sample library, and the samples with the same number are classified and processed according to whether there are samples in the project information, thereby improving the normalization and standardization of the inspection process. The system automatically generates an inspection work order and sends it to the terminal of the inspector, reducing the manual operation links and improving work efficiency. The automatic comparison and classification processing mechanism of the test results enables qualified and unqualified samples to be processed differently, and ensures the standardization of the test report through the setting of the preset format. The special processing process for missing samples improves the completeness and accuracy of the test report. The possibility of human error is reduced, the quality and reliability of the inspection work are improved, and at the same time, the traceability and reviewability of the inspection data are improved through standardized processes and format specifications.

[0024] 2. This application provides a method for inspection of the completion of transportation construction projects, which compares the final inspection report with the self-inspection inspection report of the construction unit, and establishes a credit point reward and punishment mechanism to form a quality supervision system. The system's automated comparison and scoring mechanism reduces the workload of manual operations and improves supervision efficiency. The dynamic adjustment mechanism of credit points has formed an effective incentive and constraint effect on construction units, promoting them to improve the quality of self-inspection and work responsibility. The automatic push function of early warning information enables management departments to discover and deal with problems in a timely manner, improving the timeliness and effectiveness of quality supervision.

[0025] 3. This application provides a method for inspection of the completion of transportation construction projects, establishes a multi-level dynamic quality assessment system, and systematically manages different levels such as the construction project level, section level, unit project level, sub-project level, and inspection parameter level. Combined with the investment amount information and weight coefficients of each level, a hierarchical scoring calculation model is constructed to make the quality assessment results more objective and accurate. By comparing the results of the scoring calculation model with the preset quality threshold, a real-time quality status report is generated, and pushed to the preset management platform at preset time intervals, dynamic monitoring of the project quality status is achieved, which facilitates the timely discovery and location of quality problems and improves quality management efficiency. The dynamic assessment and real-time push mechanism enables managers to keep abreast of changes in project quality, respond quickly, and effectively prevent and control project quality risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a flow chart of a method for detecting the completion of a transportation construction project in an embodiment of the present application.

[0027] Figure 2 It is another flow chart of a method for detecting the completion of a transportation construction project in an embodiment of the present application.

[0028] Figure 3 It is a schematic diagram of the physical device structure of a transportation construction project completion detection system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0029] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification and appended claims of the present application, the singular expressions "one", "a kind of", "said", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to any or all possible combinations comprising one or more listed items.

[0030] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0031] The following uses an embodiment and combines Figure 1 , a method for detecting the completion of a transportation construction project in an embodiment of the present application is described: See also Figure 1 , which is a flow chart of a method for detecting completion of a transportation construction project in an embodiment of the present application.

[0032] S101. When it is determined that the construction unit has submitted an inspection report for the completed project information, random sampling is performed in the inspection sample library to obtain a preset number of inspection numbers, and an initial inspection report is generated; When it is determined that the construction unit has submitted the completed project information for inspection, random sampling is performed in the inspection sample library. Specifically, each sample in the construction unit's to-be-completed project information is randomly assigned a matching number to obtain the inspection sample library; Randomly sample from the test sample library to obtain a preset number of samples; The matching numbers corresponding to the preset number of samples are determined, and the preset number of test numbers are obtained. Thereafter, an initial test report is generated.

[0033] This step reports the information of the completed projects of the construction unit, randomly samples from the test sample library, obtains a preset number of test numbers, and finally generates an initial test report. Specifically, the system randomly assigns a matching number to each sample in the project information to be completed by the construction unit to build a test sample library. Then, the system randomly selects a preset number of samples from the test sample library, and extracts the matching numbers corresponding to these samples as test numbers. Finally, the system generates an initial test report based on the selected samples, laying the foundation for subsequent testing work.

[0034] In this step, the system can use various random algorithms to extract samples from the test sample library, such as simple random sampling, stratified sampling, etc., to ensure the representativeness of the samples. In addition, the system can also classify samples according to factors such as project type and construction stage, and extract samples of different categories in a targeted manner to improve the targetedness of the test. For the number of samples extracted, the system can dynamically adjust according to factors such as project scale and construction progress to balance the test cost and quality.

[0035] S102, determining whether there are samples in the engineering information with numbers identical to the test numbers; This step determines whether there are samples with the same inspection numbers in the project information. It is a simple logical judgment and will not be elaborated here.

[0036] S103, determining the sample to be tested in the project information whose number is the same as the test number, and extracting standard-related information of the sample to be tested; If all the same samples exist, the samples to be tested whose numbers in the engineering information are the same as the test numbers are determined, and the standard-related information of the samples to be tested is extracted.

[0037] If they exist, the samples with the same numbers are determined to be samples to be tested, and their standard-related information is extracted to prepare for subsequent testing.

[0038] The system can use hash algorithms, string matching and other technologies to quickly determine whether there are samples with the same test number in the project information. For large amounts of project information, the system can also use a distributed computing framework to improve judgment efficiency. Once the sample to be tested is determined, the system extracts its standard-related information, such as material specifications, construction technology, etc., for the formulation of a test plan.

[0039] S104, generating a test work order corresponding to the sample to be tested, and sending each test work order to the tester terminal; Generate a test work order corresponding to the samples to be tested, and send each test work order to the tester terminal. Specifically: sort the samples to be tested according to the construction process sequence to obtain the construction process sequence; According to the standard-related information of the sample to be tested, the test standard parameters and judgment thresholds corresponding to each construction process are extracted; Generate a process inspection flow chart in combination with the construction process sequence, which includes the inspection sequence between each construction process; Based on the process inspection flow chart, the inspection linkage mechanism between the construction processes is set up. The inspection linkage mechanism includes the transmission relationship of the inspection results and the mutual verification rules; Generate inspection work order templates based on process inspection flow chart and inspection linkage mechanism; Fill the detection standard parameters and judgment thresholds into the detection work order template to obtain the detection work order.

[0040] This step generates corresponding inspection work orders according to the characteristics of the samples to be tested, and distributes the inspection work orders to the inspectors. Specifically, the system first sorts the samples to be tested in the order of construction processes to form a construction sequence. Then, the system draws a process inspection flow chart based on the standard parameters and judgment thresholds of each construction process, and clarifies the order of inspection of each process. On this basis, the system sets up an inspection linkage mechanism between processes and stipulates the rules for the transmission and mutual verification of inspection results. Finally, based on the process flow chart, the system fills in the standard parameters and thresholds, generates an inspection work order template, and instantiates it into a specific inspection work order.

[0041] When generating inspection work orders, the system can fully consider the characteristics of the samples to be inspected, such as building type, construction stage, etc., and customize highly targeted work order templates. In addition, the system can also optimize the work order allocation strategy and improve inspection efficiency based on factors such as the professional expertise and workload of the inspectors. For complex projects, the system can also introduce a workflow engine to achieve automatic circulation and approval of work orders and reduce manual intervention.

[0042] When designing the detection linkage mechanism, the system may face problems such as complex dependencies between processes and imperfect linkage rules. To this end, the system can introduce ontology modeling technology to construct a knowledge graph of dependencies between processes and infer implicit linkage rules based on the graph. At the same time, the system can also continuously improve the linkage rule base through case learning, expert experience summary, etc. By optimizing the generation mechanism of detection work orders, the system can guide detection work more efficiently and more standardizedly, and improve engineering quality.

[0043] S105. When it is determined that the test results entered by the test personnel terminal are received, the test results are input into the completion inspection system for one-to-one comparison with each standard related information; During the data entry phase, the system can provide testers with a standardized data collection interface and entry template, guiding them to fill in the original test data truthfully according to the work order requirements. At the same time, the system can also use automation means such as IoT sensors and mobile terminals to collect test process parameters in real time, reduce manual entry links, and improve data accuracy and reliability. After the system's integrity check and logic review, the entered data officially enters the comparison phase.

[0044] During the comparison stage, the system first matches the test result data with the quality standards specified in the work order, and extracts the corresponding qualified value range, allowable deviation and other judgment bases. Then, the system uses scientific statistical methods, such as hypothesis testing and confidence interval estimation, to analyze the distribution characteristics of the test data, and compares it with the quality judgment conditions to give a qualified or unqualified judgment of the single result. Next, the system can also comprehensively consider the correlation between the individual results, use weighted average, logical combination and other models to calculate comprehensive indicators, and judge the overall qualification of the sample. For the judgment of qualitative indicators, the system can introduce uncertainty reasoning methods such as fuzzy logic and evidence theory, combined with the qualitative description of the test personnel, to give a relatively objective judgment result.

[0045] During the comparison process, the system may encounter problems such as lagging quality standards and backward detection methods, resulting in insufficient scientificity and accuracy in the judgment. In response to these problems, the system should establish a dynamic update mechanism for standards and specifications, and continuously optimize relevant clauses based on new processes and methods of engineering construction. In terms of detection methods, the system can integrate new non-destructive testing, online monitoring and other technologies to expand the depth and breadth of detection. At the same time, the system should also support flexible comparison strategy configuration, allowing differentiated judgment rules to be set according to the importance of the project, risk level, etc., to improve the pertinence of quality control. In addition, in the face of the trend of increasing detection data volume, the system can also use emerging technologies such as big data analysis and machine learning to continuously optimize the judgment model and threshold, and continuously improve the intelligence level of judgment.

[0046] S106, obtaining the comparison result of each sample to be tested output by the completion inspection system; Obtain the comparison results of each sample to be tested output by the completion inspection system, and the comparison results are qualified or unqualified.

[0047] When obtaining the comparison results, the system must extract the qualified status of individual test indicators on the one hand, and comprehensively judge the overall qualification of the sample on the other hand. For individual indicators, the system mainly uses logical judgment to match the comparison results with the preset conditions to draw a conclusion on whether the quality requirements are met. For example, for quantitative indicators such as strength and size, the system determines whether they are within the prescribed allowable range; for qualitative indicators such as appearance and performance, the system determines whether they meet the qualitative description specified in the standard. For comprehensive judgment, the system needs to form a complete set of judgment pedigrees based on the single comparison, in accordance with the weighted rules and combination logic specified in the quality standards, to grade the quality level of the samples and give a unified qualified or not conclusion.

[0048] S107, judging whether there is a comparison result that is unqualified; This step judges the comparison results of each sample to be tested output by the system, with the aim of identifying the test batches with unqualified items.

[0049] S108, adding the test results and the comparison results to the initial test report to obtain a first final test report; If there is no non-conformity, the test results and comparison results are added to the initial test report to obtain the first final test report.

[0050] When it is determined that there are no unqualified items in the test batch, the system adds the test results and comparison results of all samples to be tested to the initial test report and generates a complete test report as the final result of this test.

[0051] In specific implementation, the system can use document template engines, such as Apache POI, iText, etc., to fill the detection and comparison data into the predefined report template. The system will read the original detection records of each sample to be tested one by one, extract the key data, such as sample number, detection item name, quantitative results, technical indicators, etc., and map these data to the corresponding fields of the template. At the same time, the system will also extract the comparison results and convert them into text expressions suitable for report display, such as "detection value XX, meets the standard requirements, and is judged to be qualified", etc., and add them to the corresponding chapter of the report. After the data is filled, the system will automatically compile and render the template to generate a complete and detailed detection report document.

[0052] S109, setting the unqualified test results and the samples to be tested to a preset format and adding them to the initial test report to obtain a second final test report; If there are any unqualified ones, the test results and samples to be tested corresponding to the unqualified ones are set to a preset format and added to the initial test report to obtain a second final test report.

[0053] When it is determined that there are unqualified items within the test batch, the system will add the sample information and test results corresponding to the unqualified test items to the initial test report in a special format, and generate a test report containing the unqualified items as the final result of this test, so that relevant parties can quickly identify problems and formulate corrective measures.

[0054] When generating a report, in addition to filling in normal test and comparison data, the system also needs to highlight and highlight the data of unqualified items. For example, the system can use bold and underline formats for the basic information of unqualified samples, and use red fonts and background highlights for unqualified test results, so that they can be clearly seen in the report. At the same time, the system can also set eye-catching warning prompts at the beginning of the report, listing key information such as the project name and sample number of all unqualified items, so that report users can quickly locate problems. In addition, when filling in unqualified test records, the system should also list the basis for judgment in detail, and give specific quantitative indicators such as the degree of deviation and the number of times the standard is exceeded, to provide a basis for subsequent analysis of the cause of the problem and determination of disposal measures.

[0055] While highlighting the unqualified information, the system should also be careful not to affect the overall structure of the report and the presentation of normal data. For example, the system can reserve a fixed area in the template to display unqualified items, and avoid covering other test records when adding them; or it can set up a separate summary table of unqualified items at the end of the article, which is displayed separately from the normal test data to ensure that the report layout is reasonable and the key points are highlighted. In response to possible problems such as missing data and incorrect format, the system should preset an exception handling mechanism, set default values, supplementary instructions, etc., to ensure the integrity of the report to the greatest extent possible. If necessary, it can also mark suspected anomalies that require manual review and prompt for re-examination.

[0056] S110, determining the missing samples, and determining the incomplete samples to be tested with the same test number in the project information and the standard-related information corresponding to the incomplete samples to be tested; If all identical samples do not exist, the missing samples are determined, and the incomplete samples to be tested that have the same test number as the test number in the engineering information and the standard-related information corresponding to the incomplete samples to be tested are determined, and steps S104-S109 are repeated.

[0057] When the system does not find sample information that completely matches the test number, it can be determined that there are missing samples in the task. At this time, the system will determine the actual matching incomplete sample and extract its corresponding standard specification information, and then repeat steps S104-S109 to achieve partial detection of the missing detection task. The key here is how to identify the most likely sample to be tested from the incomplete match.

[0058] In specific implementation, the system can use fuzzy matching algorithms, such as regular expressions, edit distance, etc., to find the candidate samples with the highest similarity when the matches are not completely consistent. For example, the system can use regular expressions to describe the character pattern of the test number, allow different characters in some positions, set a similarity threshold, and consider the match to be successful if it exceeds the threshold. You can also use the minimum edit distance algorithm to calculate the minimum number of editing operations required to convert the test number and each sample number to be consistent. The one with the least number is the best match. Although the matched samples are incomplete, they can still be tested according to the process to fill in the detection gaps and improve the task completion rate. The subsequent system can repeat the detection sub-process until all incomplete samples have been inspected.

[0059] S111. When it is determined that there are missing samples, the missing samples are set to a preset format and added to the first final test report or the second final test report to obtain a third final test report.

[0060] After the first final test report or the second final test report is generated, and if it is determined that there are missing samples, the missing samples are set to a preset format and added to the first final test report or the second final test report to obtain a third final test report.

[0061] When it is finally confirmed that there is a test number for the test task that cannot be matched to a sample, that is, there is a completely missing sample, the system should supplement the relevant information of the missing sample on the basis of the generated test report (the first or second final report), and form the final general report of the task test (the third final report), which comprehensively reflects the complete situation of the test to the owner, supervisor, etc.

[0062] In specific implementation, the special format processing method for unqualified items can be used to prominently mark missing samples in the report. The system can set up a special description section for missing samples in the appropriate position of the test report, list the missing test numbers one by one, and indicate that after multiple rounds of matching and manual investigation, they were ultimately unable to be associated with specific engineering samples. At the same time, the system should also analyze and list information such as the project categories and process scopes that these missing samples may involve based on the test plan, so that relevant parties can understand the potential risk points of missing detection. If necessary, the system can also count the proportion of missing samples in all tasks to indicate the degree of detection completeness. Through the thorough disclosure of missing samples, the system truthfully reflects the objective limitations of the detection work to the management and decision-making levels, which helps them to comprehensively evaluate the actual situation of the project, and also provides an objective basis for subsequent targeted supplementary testing and management optimization.

[0063] In the above embodiment, the test number is randomly sampled in the test sample library, and the samples with the same number are classified and processed according to whether there are samples in the engineering information, thereby improving the normalization and standardization of the test process. The system automatically generates a test work order and sends it to the tester's terminal, reducing the manual operation links and improving work efficiency. The automatic comparison and classification processing mechanism of the test results enables qualified and unqualified samples to be processed differently, and ensures the standardization of the test report through the setting of the preset format. The special processing flow for missing samples improves the completeness and accuracy of the test report. The possibility of human error is reduced, the quality and reliability of the test work are improved, and the traceability and reviewability of the test data are improved through standardized processes and format specifications.

[0064] The above embodiment describes the specific implementation process of a traffic construction project completion inspection method. This method effectively improves the efficiency and accuracy of the inspection work through standardized inspection processes and automated data processing. In order to further strengthen the supervision of construction units and improve the level of project quality control, the following Figure 2 , another method for detecting the completion of a transportation construction project in an embodiment of the present application is described: See also Figure 2 , is another flow chart of a method for detecting completion of a transportation construction project in an embodiment of the present application.

[0065] S201, determine the final test report and receive the self-test report sent by the construction unit, and determine whether the self-test report is the same as the final test report; Determine the final test report and receive the self-test report sent by the construction unit, determine whether the self-test report is the same as the final test report, and the final test report is the first final test report, the second final test report or the third final test report.

[0066] The core of this step is to compare the consistency between the self-inspection report submitted by the construction unit and the official final inspection report. By judging whether the contents of the two reports are the same, the system can preliminarily evaluate the effectiveness and accuracy of the construction unit's self-inspection work, providing a basis for subsequent credit scoring and early warning management.

[0067] In terms of implementation, the system first needs to clarify the filing status of the official final inspection report. Since there are three different types of final reports (first, second and third final inspection reports), the system can use conditional judgment statements, such as switch-case statements, to handle different types of reports separately. In each case, the system obtains the self-inspection report uploaded by the construction unit through file reading and other methods, and based on this, compares the key elements of the two reports one by one, such as inspection items, sample numbers, inspection results, and evaluation criteria.

[0068] S202, input the final inspection report into the completion inspection system; If they are the same, the final inspection report will be entered into the completion inspection system.

[0069] When it is determined that the self-inspection report submitted by the construction unit is consistent with the official inspection conclusion, the system will archive the final inspection report and formally enter it into the completion inspection management system. This marks the successful completion of the inspection task and the self-inspection work of the construction unit has also been recognized by the system.

[0070] In specific implementation, the system can use file transfer, database writing and other methods to upload the electronic version of the final test report to the directory or data table specified by the management system. Among them, for report files in different formats, the system can automatically match the corresponding storage solutions through file type recognition and other technologies, such as storing Word documents in doc or docx format, storing PDF reports in pdf format, etc. At the same time, to ensure the security and non-tamperability of the archives, the system can also digitally sign and timestamp the uploaded report files to prevent subsequent malicious tampering. On the management system side, the system can automatically classify and index newly stored report files through metadata extraction and other methods to form a standardized report archive library to facilitate subsequent business applications.

[0071] S203, adding a preset credit score of the construction unit in the completion inspection system; When the self-inspection report is consistent with the final inspection conclusion, it shows that the construction unit can objectively evaluate the quality of the project and its self-inspection work is effective. In this regard, the system should give positive incentives and appropriately improve its credit score in the completion inspection management system to urge it to maintain a good level of self-management.

[0072] The system can preset the credit scoring rules under various incentive situations, and match the corresponding scoring strategies according to the consistency of reports. For example, it can be set to add X points for each report comparison, and Y points for N consecutive consistency, etc., and the credit rating of the construction unit can be continuously improved through cumulative scoring. When calculating the new credit score, the system can use atomic operations to read the current credit score into memory, add the newly obtained credit score, and then write it back to the database to ensure data consistency. At the same time, the system can also use the database transaction mechanism to ensure the atomicity of the entire scoring process to avoid abnormal situations such as loss of results and data rollback.

[0073] S204, deducting a preset value of credit points in the completion inspection system; If they are different, a preset value of credit points will be deducted in the completion inspection system.

[0074] When the self-inspection report submitted by the construction unit is inconsistent with the official final inspection conclusion, it means that its self-inspection and self-examination are perfunctory and it does not pay enough attention to the quality of the project. At this time, it is necessary for the system to urge it to strengthen quality management and eliminate fraud through the credit point punishment mechanism.

[0075] In specific implementation, the system can refer to the deduction strategy corresponding to the scoring rules, such as deducting X points for each inconsistent report comparison, deducting Y points for N consecutive inconsistencies, etc., and deducting them from the existing credit score of the construction unit to reduce its credit level in the management system. When deducting points, the system can also ensure the consistency and atomicity of credit score changes through atomic operations and database transaction mechanisms. After completing the deduction, the system should immediately enable disciplinary measures linked to the credit level, such as restricting the construction unit from participating in new project bidding, increasing the frequency of its daily inspections, etc., so as to force it to reflect on its own management problems due to credit loss. At the same time, the system should also provide real-time feedback to the superior management department or the owner on the changes in the construction unit's credit, so that the competent industry department can strengthen supervision.

[0076] S205, sending preset warning information to the management department terminal; When it is determined that the self-inspection report submitted by the construction unit is inconsistent with the final inspection conclusion, in addition to directly deducting the credit points, the system should also promptly send early warning information to the relevant management department, prompting it to strengthen supervision of the construction unit to prevent problems before they occur.

[0077] S206, obtaining the total credit score of the construction unit, and if it is determined that the total credit score is greater than a preset minimum credit score, determining the number of times the value of the total credit score changes; The total credit score of the construction unit is obtained, and when it is determined that the total credit score is greater than a preset minimum credit score, the number of times the value of the total credit score changes is determined, and the value change mode is increase or decrease.

[0078] After completing the reward and punishment of the construction unit's credit score, the system should further analyze the overall situation of its credit changes and reveal the dynamic trend of its quality management level so as to carry out follow-up management in a targeted manner. The core here is to comprehensively inventory the cumulative credit of the construction unit, focusing on the volatility of the credit score.

[0079] S207: When it is determined that the number of changes in which the value changes in the manner of increase is less than the number of changes in which the value changes in the manner of decrease, the construction unit is marked as a warning construction unit.

[0080] When the system finds in the credit score fluctuation analysis that the number of credit deductions for a construction unit is significantly greater than the number of credit additions, it reflects that its quality control situation is worrying and it is very likely to become a high-incidence area for quality and safety accidents. At this time, it is necessary to set up a key attention mark for it, strengthen pre-warning and in-process control, and eliminate quality risks in the bud.

[0081] Specifically, based on the results of the reputation fluctuation analysis, the system subtracts the number of times the reputation of the construction unit changes, and obtains the difference between the number of times the reputation decreases and the number of times the reputation increases. When the difference is greater than 0, that is, the number of times the reputation decreases is dominant, the system can determine that the management level of the construction unit is showing a negative trend and needs to be given early warning control, so it automatically adds a warning construction unit label to it. This label can be added to the construction unit archive, becoming a key attribute to describe its reputation status, and can be analyzed in association with other management data to comprehensively portray its risk map.

[0082] In the above embodiment, the final test report is compared with the self-test report of the construction unit, and a credit point reward and punishment mechanism is established to form a quality supervision system. The system's automated comparison and scoring mechanism reduces the workload of manual operations and improves supervision efficiency. The dynamic adjustment mechanism of credit points has formed an effective incentive and constraint effect on the construction unit, promoting the construction unit to improve the quality of self-inspection and work responsibility. The automatic push function of early warning information enables the management department to discover and deal with problems in a timely manner, improving the timeliness and effectiveness of quality supervision.

[0083] Further, in another embodiment, after determining the final test report in step S101, the method further includes: performing dynamic quality assessment and static quality assessment on the completed construction products according to the final test report to obtain corresponding dynamic quality assessment results and static quality assessment results; Establish a multi-level dynamic quality assessment system according to the preset multi-level hierarchical structure, which includes the construction project level, section level, unit project level, sub-project level and test parameter level. Specifically: calculate the dynamic score of each test parameter based on the test parameter data in the final test report and the preset scoring criteria; Obtain the weight coefficient of the branch project, and perform weighted calculation on the dynamic score according to the weight coefficient to obtain the dynamic score of the branch project; Extract the investment amount data of unit projects and bidding sections, use the investment amount data as weight to perform weighted calculation on the dynamic score of the branch project, and obtain the dynamic quality assessment result; Receive the appearance quality assessment form and the quality assurance document assessment form, extract the deduction items of the appearance quality assessment form and the quality assurance document assessment form based on the preset deduction rules, and generate a deduction list; Obtain static quality assessment results based on dynamic quality assessment results and deduction list; According to the multi-level dynamic quality assessment system, the investment amount information and weight coefficient of each level are counted, and a hierarchical scoring calculation model is constructed in combination with the dynamic quality assessment results; Compare the results of the scoring calculation model with the preset quality threshold to generate a real-time quality status report; Push the real-time quality status report to the preset management platform at preset time intervals.

[0084] First, based on the final inspection report, the system will conduct a two-dimensional assessment of the completed products, namely dynamic quality assessment and static quality assessment. Among them, the dynamic quality assessment adopts a five-level assessment system, from top to bottom, it is the construction project level, the bidding section level, the unit project level, the sub-project level and the inspection parameter level, forming a complete quality assessment hierarchy.

[0085] In the specific evaluation process, the system first calculates the dynamic score of each test parameter based on the test parameter data in the final test report and the preset scoring criteria. Then, the dynamic score is weighted by the weight coefficient of the sub-project to obtain the dynamic score of the sub-project. Subsequently, the system will extract the investment amount data of the unit project and the bid section, and use it as a weight factor to further weight the dynamic score of the sub-project, and finally obtain the dynamic quality evaluation result.

[0086] For static quality assessment, the system will receive the appearance quality assessment form and the quality assurance data assessment form, extract relevant deduction items according to the preset deduction rules, and generate a deduction list. Combining the dynamic quality assessment results and the deduction list, the system will finally obtain the static quality assessment results.

[0087] After completing the basic assessment, the system will further collect statistics on the investment amount information and weight coefficients of each level, and build a hierarchical scoring calculation model based on the dynamic quality assessment results. The calculation results of the model will be compared with the preset quality threshold to generate a real-time quality status report. These reports will be regularly pushed to the preset management platform at preset time intervals to achieve real-time monitoring and dynamic management of quality status.

[0088] In the above embodiment, a multi-level dynamic quality assessment system is established to systematically manage different levels such as the construction project level, the bid section level, the unit engineering level, the sub-engineering level and the detection parameter level. Combined with the investment amount information and weight coefficients of each level, a hierarchical scoring calculation model is constructed to make the quality assessment results more objective and accurate. By comparing the results of the scoring calculation model with the preset quality threshold, a real-time quality status report is generated, and it is pushed to the preset management platform at a preset time interval, dynamic monitoring of the project quality status is achieved, which facilitates the timely discovery and location of quality problems and improves the efficiency of quality management. The dynamic assessment and real-time push mechanism enables management personnel to grasp the changes in project quality in a timely manner, respond quickly, and effectively prevent and control project quality risks.

[0089] The following describes the system in the embodiment of the present invention from the perspective of hardware processing. Figure 3, which is a schematic diagram of the physical device structure of a transportation construction project completion detection system provided in an embodiment of the present application.

[0090] It should be noted that Figure 3 The structure of the system shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0091] like Figure 3 As shown, the system includes a central processing unit (CPU) 301, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 302 or the program loaded from the storage part 308 to the random access memory (RAM) 303, such as executing the method in the above embodiment. In RAM 303, various programs and data required for system operation are also stored. CPU 301, ROM 302 and RAM 303 are connected to each other through a bus 304. Input / output (I / O) interface 305 is also connected to bus 304.

[0092] The following components are connected to the I / O interface 305: an input section 306 including a camera, an infrared sensor, etc.; an output section 307 including a liquid crystal display (LCD) and a speaker, etc.; a storage section 308 including a hard disk, etc.; and a communication section 309 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 309 performs communication processing via a network such as the Internet. A drive 310 is also connected to the I / O interface 305 as needed. A removable medium 311, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 310 as needed so that a computer program read therefrom is installed into the storage section 308 as needed.

[0093] In particular, according to an embodiment of the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication part 309, and / or installed from a removable medium 311. When the computer program is executed by the central processing unit (CPU) 301, various functions defined in the present invention are performed.

[0094] It should be noted that the computer-readable medium shown in the embodiment of the present invention may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, device or device. In the present invention, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable computer program. Such a propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing.

[0095] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present invention. Among them, each box in the flowchart or block diagram can represent a module, a program segment, or a part of the code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart, can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0096] As another aspect, the present invention further provides a computer-readable storage medium, which may be included in the system described in the above embodiment; or may exist independently without being assembled into the system. The above storage medium carries one or more computer programs, and when the above one or more computer programs are executed by a processor of a system, the system implements the method provided in the above embodiment.

[0097] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

[0098] As used in the above embodiments, the term "when..." may be interpreted to mean "if..." or "after..." or "in response to determining..." or "in response to detecting...", depending on the context. Similarly, the phrases "upon determining..." or "if (the stated condition or event) is detected" may be interpreted to mean "if determining..." or "in response to determining..." or "upon detecting (the stated condition or event)" or "in response to detecting (the stated condition or event)", depending on the context.

[0099] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from a website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrated. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state hard disk), etc.

[0100] Those skilled in the art can understand that to implement all or part of the processes in the above-mentioned embodiments, the processes can be completed by computer programs to instruct related hardware, and the programs can be stored in computer-readable storage media. When the programs are executed, they can include the processes of the above-mentioned method embodiments. The aforementioned storage media include: ROM or random access memory RAM, magnetic disk or optical disk and other media that can store program codes.

Claims

1. A method for detecting the completion of a traffic construction project, applied to a detection system for the completion of a traffic construction project, characterized in that: include: When it is determined that the construction unit has submitted an inspection report for the completed project information, random sampling is performed in the inspection sample library to obtain a preset number of inspection numbers and generate an initial inspection report; Determine whether there are samples in the engineering information whose numbers are all the same as the detection numbers; If all the same samples exist, determine the samples to be tested whose numbers in the engineering information are the same as the test number, and extract the standard-related information of the samples to be tested; Generate a test work order corresponding to the sample to be tested, and send each test work order to the tester terminal; When it is determined that the test results entered by the test personnel terminal are received, the test results are input into the completion inspection system for one-to-one comparison with each of the standard-related information; Obtaining a comparison result of each of the samples to be tested output by the completion inspection system, wherein the comparison result is qualified or unqualified; Determine whether there is a comparison result that is unqualified; If the unqualified item does not exist, the test result and the comparison result are added to the initial test report to obtain a first final test report; If there is any unqualified test result, the test result and the sample to be tested corresponding to the unqualified test result are set to a preset format and added to the initial test report to obtain a second final test report; If all identical samples do not exist, the missing samples are determined, and the incomplete samples to be tested that have the same test number as the test number in the engineering information and the standard-related information corresponding to the incomplete samples to be tested are determined, and the steps of generating a test work order corresponding to the samples to be tested one by one and sending each of the test work orders to the tester terminal are performed; After generating the first final test report or the second final test report, the missing samples are set to the preset format and added to the first final test report or the second final test report to obtain a third final test report.

2. The method according to claim 1, characterized in that The random sampling in the test sample library to obtain a preset number of test numbers specifically includes: Randomly assign a matching number to each sample in the construction unit's to-be-completed project information to obtain a test sample library; Randomly sampling in the detection sample library to obtain a preset number of samples; The matching numbers corresponding to the preset number of samples are determined to obtain the preset number of detection numbers.

3. The method according to claim 1, characterized in that The generating of a testing work order corresponding to the samples to be tested specifically includes: Sorting the samples to be tested according to the order of construction processes to obtain a construction process sequence; Extracting the detection standard parameters and determination thresholds corresponding to each construction process according to the standard-related information of the sample to be detected; Generate a process detection flow chart in combination with the construction process sequence, wherein the process detection flow chart includes a sequential detection order between the construction processes; A detection linkage mechanism is set between the construction processes based on the process detection flow chart, wherein the detection linkage mechanism includes a transmission relationship of detection results and mutual verification rules; Generate a test work order template according to the process test flow chart and the test linkage mechanism; Fill the detection standard parameters and the determination threshold into the detection work order template to obtain a detection work order.

4. The method according to claim 1, characterized in that: After setting the missing samples to the preset format and adding them to the first final test report or the second final test report to obtain a third final test report, the method further includes: Determine a final test report, where the final test report is the first final test report, the second final test report, or the third final test report; Receiving the self-inspection test report sent by the construction unit, and determining whether the self-inspection test report is the same as the final test report; If they are the same, the final inspection report is entered into the completion inspection system; In the handover and completion inspection system, a credit score of a preset value of the construction unit is increased; If they are not the same, then the credit score of the preset value is deducted in the completion inspection system; Send preset warning information to the management department terminal.

5. The method according to claim 4, characterized in that After sending the preset warning information to the management department terminal, the method further includes: Obtaining the total credit score of the construction unit, and if it is determined that the total credit score is greater than a preset minimum credit score, determining the number of times the value change mode of the total credit score changes, wherein the value change mode is an increase or a decrease; When it is determined that the number of changes in which the value changes in the manner of increase is less than the number of changes in which the value changes in the manner of decrease, the construction unit is marked as a warning construction unit.

6. The method according to claim 4, characterized in that After determining the final test report, the method further includes: According to the final inspection report, dynamic quality assessment and static quality assessment are respectively performed on the completed construction products to obtain corresponding dynamic quality assessment results and static quality assessment results; Establishing a multi-level dynamic quality assessment system according to a preset multi-level hierarchical structure, wherein the preset multi-level hierarchical structure includes a construction project level, a bid section level, a unit project level, a sub-project level, and a detection parameter level; According to the multi-level dynamic quality assessment system, the investment amount information and weight coefficient of each level are counted, and a hierarchical scoring calculation model is constructed in combination with the dynamic quality assessment results; Comparing the result of the scoring calculation model with a preset quality threshold to generate a real-time quality status report; The real-time quality status report is pushed to a preset management platform at preset time intervals.

7. The method according to claim 6, characterized in that The dynamic quality assessment and static quality assessment are respectively performed on the completed construction products according to the final inspection report to obtain the corresponding dynamic quality assessment results and static quality assessment results, which specifically include: Calculate the dynamic score of each test parameter according to the test parameter data in the final test report and the preset scoring criteria; Obtaining a weight coefficient of a branch project, and performing weighted calculation on the dynamic score according to the weight coefficient to obtain a dynamic score of the branch project; Extracting the investment amount data of the unit project and the bidding section, and performing weighted calculation on the dynamic score of the branch project with the investment amount data as the weight, so as to obtain the dynamic quality assessment result; Receiving an appearance quality assessment form and a quality assurance document assessment form, and extracting deduction items from the appearance quality assessment form and the quality assurance document assessment form based on a preset deduction rule to generate a deduction list; A static quality assessment result is obtained according to the dynamic quality assessment result and the deduction list.

8. A transportation construction project completion detection system, characterized in that: The system comprises: One or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to cause the system to execute the method as described in any one of claims 1-7.

9. A computer-readable storage medium comprising instructions, characterized in that: When the instructions are executed on a system, the system is caused to execute the method according to any one of claims 1 to 7.

10. A computer program product, characterized in that When the computer program product is run on a system, the system is caused to execute the method according to any one of claims 1 to 7.

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