Highway engineering quality intelligent evaluation system

Abstract

The invention discloses a highway engineering quality intelligent evaluation system, which belongs to the technical field of highway engineering and comprises a data acquisition module used for acquiring material data, machine and tool data, operation data and road condition data of highway engineering and determining highway engineering quality real-time data; the data processing module is used for processing the highway engineering quality real-time data and determining highway engineering quality characteristic data; the quality evaluation module is used for intelligently evaluating the highway engineering quality and determining a highway engineering quality intelligent evaluation result; and the intelligent management and control module is used for carrying out intelligent management and control on the highway engineering, so that the highway engineering is qualified. According to the method, the problems that the highway engineering quality cannot be intelligently evaluated in the prior art, so that the highway engineering quality evaluation is inconvenient, and the highway engineering quality intelligent evaluation effect is poor are solved. According to the method, the highway engineering quality can be intelligently evaluated, so that the highway engineering quality evaluation is convenient, and the highway engineering quality intelligent evaluation effect can be improved.

Description

Technical Field

[0001] The invention relates to the technical field of highway engineering, and in particular to an intelligent evaluation system for highway engineering quality. Background Art

[0002] With the rapid development of my country's highway transportation industry, the quality of highway projects has received more and more attention. However, traditional highway project quality assessment methods often have problems such as strong subjectivity, time-consuming and labor-intensive, and low efficiency, which leads to the inability to timely and effectively assess the quality of highway projects.

[0003] The Chinese patent with publication number CN117669895A discloses a highway engineering environmental impact assessment system, including an ecological relationship analysis module, an ecological risk prediction module, a carbon footprint assessment module, a strategic decision support module, a system impact simulation module, a data fusion processing module, an environmental strategy planning module, and a real-time monitoring feedback module; the application of graph theory algorithms and network analysis methods in the ecological relationship analysis module improves the recognition of ecosystem components and interactions, the use of system dynamics models and statistical analysis methods in the ecological risk prediction module enhances the simulation capability of potential ecosystem impacts, the application of time series analysis and carbon emission models in the carbon footprint assessment module improves the analysis capability of highway engineering carbon footprint trends, and helps to understand and control carbon emissions, and the application of fuzzy logic and decision analysis methods in the strategic decision support module makes strategy formulation more flexible and adaptable to environmental conditions; however, the patent has the following defects: The existing inability to conduct intelligent assessment of highway project quality makes highway project quality assessment inconvenient and results in poor results of intelligent assessment of highway project quality. Summary of the invention

[0004] The purpose of the present invention is to provide a highway engineering quality intelligent assessment system, which can perform intelligent assessment on highway engineering quality, make highway engineering quality assessment convenient, improve the effect of highway engineering quality intelligent assessment, and solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions: Highway engineering quality intelligent assessment system, including: The data collection module is used to collect material data, machine data, operation data and road condition data of highway projects, and determine the real-time data of highway project quality based on big data; A data processing module is used to process the real-time data of highway engineering quality based on big data and determine the characteristic data of highway engineering quality based on big data; The quality assessment module is used to intelligently assess the quality of highway projects and determine the intelligent assessment results of highway project quality based on big data; The intelligent management and control module is used to carry out intelligent management and control of highway projects to ensure the quality of highway projects.

[0006] Preferably, the data acquisition module comprises: The material collection unit is used to monitor and collect the conditions of materials used in the highway construction process in real time and obtain highway construction material data; The equipment collection unit is used to monitor and collect the equipment used in the highway construction process in real time and obtain highway construction equipment data; The operation collection unit is used to monitor and collect the operation procedures used in the highway engineering construction process in real time and obtain the highway engineering operation data; The road condition collection unit is used to monitor and collect the road surface type, width, slope, roadbed height and road surface cracks of the highway project in real time to obtain the road condition data of the highway project; Among them, based on highway engineering material data, highway engineering machinery data, highway engineering operation data and highway engineering road condition data, real-time data on highway engineering quality based on big data is determined.

[0007] Preferably, the data processing module includes: Data cleaning unit, used to clean the real-time data of highway engineering quality based on big data; Obtain real-time data on highway engineering quality based on big data; Conduct consistency checks on real-time data on highway engineering quality based on big data; According to the reasonable value range and mutual relationship of each parameter in the real-time data of highway engineering quality based on big data, check whether the real-time data of highway engineering quality based on big data meets the requirements; Remove inconsistent data that is beyond the normal range, logically unreasonable or contradictory in the real-time data of highway engineering quality based on big data; Process invalid and missing values ​​of real-time highway engineering quality data based on big data; According to the requirements of data validity and integrity, check whether the real-time data of highway engineering quality based on big data contains invalid values ​​and missing values; Remove invalid values ​​and missing values ​​that are useless for intelligent evaluation of highway engineering quality in real-time data of highway engineering quality based on big data; Determine the real-time highway project quality data that is useful for intelligent assessment of highway project quality.

[0008] Preferably, the data processing module further includes: A data conversion unit, used to convert the cleaned real-time data of highway engineering quality; Acquire real-time highway engineering quality data useful for intelligent assessment of highway engineering quality after cleaning; Convert real-time highway engineering quality data useful for intelligent evaluation of highway engineering quality; Eliminate the dimensional differences between real-time data on highway engineering quality and form a unified data format; Determine standardized real-time data on highway project quality; A feature extraction unit, used for extracting features from the converted real-time data of highway engineering quality; Obtaining real-time data on highway engineering quality after conversion and standardization; Extract features from standardized real-time data on highway engineering quality; Extract features that can reflect the intelligent evaluation of highway engineering quality; Determine the quality characteristic data of highway projects based on big data.

[0009] Preferably, the quality assessment module includes: A data storage unit, used for storing highway engineering quality standard data based on big data; According to the needs of intelligent assessment of highway engineering quality, highway engineering quality standard data based on big data is pre-set, and the pre-set highway engineering quality standard data based on big data is stored for backup; An index calling unit, used for indexing and calling highway engineering quality standard data based on big data; According to the needs of intelligent assessment of highway engineering quality, the stored highway engineering quality standard data based on big data is indexed, and the indexed highway engineering quality standard data based on big data is called out to provide a reference basis for subsequent intelligent assessment of highway engineering quality; Quality assessment unit, used to intelligently assess the quality of highway projects; Obtain highway engineering quality characteristic data based on big data; Based on the highway engineering quality standard data, a comparative analysis of the highway engineering quality characteristic data is conducted, the highway engineering quality is intelligently evaluated, and the intelligent evaluation results of the highway engineering quality based on big data are determined.

[0010] Preferably, based on the highway engineering quality standard data, the highway engineering quality characteristic data is compared and analyzed, and the following operations are performed: Extract each characteristic parameter in the highway engineering quality characteristic data one by one; Compare and analyze the extracted characteristic parameters one by one with the standard parameters in the highway engineering quality standard data, and form the intelligent evaluation results of highway engineering quality after one by one comparison and analysis; Among them, if the highway engineering quality characteristic data is within the highway engineering quality standard data range, then the highway engineering quality intelligent assessment result is that the highway engineering quality is qualified; Among them, if the highway engineering quality characteristic data is not within the scope of the highway engineering quality standard data, the result of the highway engineering quality intelligent assessment is that the highway engineering quality is unqualified.

[0011] Preferably, the intelligent management and control module includes: A sorting and display unit is used to sort and display the intelligent evaluation of highway engineering quality; Obtain intelligent evaluation results of highway engineering quality based on big data; According to the intelligent evaluation results of highway engineering quality based on big data, the highway engineering quality characteristic data based on big data is mined, analyzed and sorted; Determine the intelligent assessment report of highway engineering quality based on big data; Among them, the highway engineering quality intelligent assessment report based on big data is transmitted to the management terminal based on Bluetooth or wireless connection, so that the highway engineering quality intelligent assessment report based on big data is displayed in real time in a visual form.

[0012] Preferably, real-time monitoring of whether there is an abnormality in the data transmission operation status of the highway engineering quality intelligent assessment report based on big data includes: Collecting data transmission operation status parameters of the highway engineering quality intelligent assessment report based on big data in real time; wherein the data transmission operation status parameters include data transmission rate, channel strength attenuation ratio, garbled bit rate and data integrity rate of the highway engineering quality intelligent assessment report based on big data; Extracting the garbled code rate and data integrity rate during the data transmission process of the highway engineering quality intelligent assessment report based on big data; The report transmission status parameters are obtained by using the garbled bit rate and data integrity rate during the data transmission process of the highway engineering quality intelligent assessment report based on big data; The report transmission status parameter is obtained by the following formula: ; Among them, V 01 represents the report transmission status parameter; n represents the number of data transmissions of the intelligent evaluation report on highway engineering quality based on big data; W i represents the data integrity rate corresponding to the i-th data transmission; L i represents the garbled bit rate corresponding to the i-th data transmission; W b represents the standard deviation of the data integrity rate corresponding to n data transmissions; L b represents the standard deviation of the garbled bit rate corresponding to n data transmissions; C bIt represents the standard deviation of the data volume of the intelligent evaluation report of highway engineering quality based on big data corresponding to n data transmissions; The report transmission status parameter is compared with a preset parameter threshold, and according to the comparison result, it is determined whether there is an abnormality in the data transmission operation status of the highway engineering quality intelligent assessment report based on big data.

[0013] Preferably, the report transmission status parameter is compared with a preset parameter threshold, and according to the comparison result, it is determined whether there is an abnormality in the data transmission operation status of the highway engineering quality intelligent assessment report based on big data, including: Extract data transmission rate and channel strength attenuation ratio; Comparing the reported transmission status parameter with a preset parameter threshold to obtain a comparison result; When the comparison result shows that the report transmission status parameter is lower than the preset parameter threshold, it indicates that the data transmission operation status of the current highway engineering quality intelligent evaluation report based on big data is in a normal state; When the comparison result indicates that the reported transmission status parameter is not lower than the preset parameter threshold, the data transmission rate and the channel strength attenuation ratio are retrieved; Acquire a data transmission operation status parameter using the data transmission rate and the channel strength attenuation ratio in combination with the reported transmission status parameter; The data transmission operation status parameter is obtained by the following formula: ; Among them, V 02 Indicates the data transmission operation status parameter; V 01 represents the report transmission status parameter; n represents the number of data transmissions of the intelligent evaluation report on highway engineering quality based on big data; F i represents the data transmission rate corresponding to the i-th data transmission; B i represents the channel strength attenuation ratio corresponding to the i-th data transmission; F fi Indicates the rate floating ratio of the data transmission rate corresponding to the i-th data transmission; Comparing the data transmission operation status parameter with a preset operation status parameter threshold; When the data transmission operation status parameter exceeds a preset operation status parameter threshold, it is determined that the data transmission operation status is abnormal, and an abnormality alarm is issued.

[0014] Preferably, the intelligent management and control module further includes: Intelligent control unit, used for intelligent control of highway projects; Obtain intelligent assessment reports on highway engineering quality based on big data; Formulate intelligent highway engineering quality control plans based on intelligent highway engineering quality assessment reports based on big data; Based on the intelligent control solution for highway engineering quality, intelligent control of highway engineering is carried out; Among them, when the quality of highway projects is unqualified, timely warnings will be given to the quality of highway projects, and targeted guidance and rectification measures will be taken to maintain and manage the highway projects to ensure the quality of highway projects is qualified.

[0015] Compared with the prior art, the present invention has the following beneficial effects: The present invention determines the real-time data of highway engineering quality by collecting material data, machine data, operation data and road condition data of highway engineering, determines the characteristic data of highway engineering quality by processing the real-time data of highway engineering quality, compares and analyzes the characteristic data of highway engineering quality based on highway engineering quality standard data, intelligently evaluates the quality of highway engineering, determines the result of intelligent evaluation of highway engineering quality, formulates an intelligent management and control plan for highway engineering quality, performs intelligent management and control on highway engineering, ensures the quality of highway engineering is qualified, can perform intelligent evaluation on highway engineering quality, makes highway engineering quality evaluation convenient, and can improve the effect of intelligent evaluation of highway engineering quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a structural block diagram of the highway engineering quality intelligent evaluation system of the present invention; Figure 2 The figure is a flow chart of the algorithm of the intelligent evaluation system for highway engineering quality of the present invention. DETAILED DESCRIPTION

[0017] 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.

[0018] In order to solve the existing problem that the quality of highway projects cannot be intelligently evaluated, which makes the quality evaluation of highway projects inconvenient and the effect of intelligent evaluation of highway project quality poor, please refer to Figure 1-Figure 2 , this embodiment provides the following technical solutions: Highway engineering quality intelligent assessment system, including: The data collection module is used to collect material data, machine data, operation data and road condition data of highway projects, and determine the real-time data of highway project quality based on big data; In this embodiment, the data acquisition module includes: The material collection unit is used to monitor and collect the conditions of materials used in the highway construction process in real time and obtain highway construction material data; It should be noted that the materials used in the construction process of highway projects include material types, specifications, quantities, storage locations, supply and storage, etc.

[0019] The equipment collection unit is used to monitor and collect the equipment used in the highway construction process in real time and obtain highway construction equipment data; It should be noted that the situation of machinery and tools used in the construction of highway projects includes the types, models, quantity, and repair of construction machinery and tools; The operation collection unit is used to monitor and collect the operation procedures used in the highway engineering construction process in real time and obtain the highway engineering operation data; It should be noted that the operation procedures used in the construction of highway projects include that each process must be inspected and qualified before the next process can be carried out. All processes are completed and delivered for use after inspection and acceptance. During construction, materials, machinery and operation are the main links to ensure the quality of highway projects. All construction must strictly comply with each construction specification; The road condition collection unit is used to monitor and collect the road surface type, width, slope, roadbed height and road surface cracks of the highway project in real time to obtain the road condition data of the highway project; Among them, based on highway engineering material data, highway engineering machinery data, highway engineering operation data and highway engineering road condition data, real-time data on highway engineering quality based on big data is determined.

[0020] A data processing module is used to process the real-time data of highway engineering quality based on big data and determine the characteristic data of highway engineering quality based on big data; In this embodiment, the data processing module includes: Data cleaning unit, used to clean the real-time data of highway engineering quality based on big data; Obtain real-time data on highway engineering quality based on big data; Conduct consistency checks on real-time data on highway engineering quality based on big data; According to the reasonable value range and mutual relationship of each parameter in the real-time data of highway engineering quality based on big data, check whether the real-time data of highway engineering quality based on big data meets the requirements; Remove inconsistent data that is beyond the normal range, logically unreasonable or contradictory in the real-time data of highway engineering quality based on big data; Process invalid and missing values ​​of real-time highway engineering quality data based on big data; According to the requirements of data validity and integrity, check whether the real-time data of highway engineering quality based on big data contains invalid values ​​and missing values; Remove invalid values ​​and missing values ​​that are useless for intelligent evaluation of highway engineering quality in real-time data of highway engineering quality based on big data; Determine the real-time highway project quality data that is useful for intelligent assessment of highway project quality.

[0021] It should be noted that data cleaning refers to the final procedure of discovering and correcting identifiable errors in data files, including checking data consistency, handling invalid values ​​and missing values, etc.

[0022] Among them, the consistency check is to check whether the data meets the requirements based on the reasonable value range and mutual relationship of each variable, and to find data that exceeds the normal range, is logically unreasonable or contradictory. For example, a variable measured by a 1-7 scale has a value of 0, and a negative weight should be considered to be beyond the normal value range. Computer software such as SPSS, SAS, and Excel can automatically identify each variable value that exceeds the range based on the defined value range. Logically inconsistent answers may appear in many forms: for example, many respondents said that they drove to work, but reported that they did not have a car; or respondents reported that they were heavy buyers and users of a certain brand, but at the same time gave a very low score on the familiarity scale. When inconsistencies are found, the questionnaire number, record number, variable name, error category, etc. should be listed to facilitate further verification and correction.

[0023] Among them, due to survey, coding and entry errors, there may be some invalid values ​​and missing values ​​in the data, which need to be properly processed. Removing invalid values ​​and missing values ​​can improve the data processing accuracy and efficiency.

[0024] In this embodiment, the data processing module further includes: A data conversion unit, used to convert the cleaned real-time data of highway engineering quality; Acquire real-time highway engineering quality data useful for intelligent assessment of highway engineering quality after cleaning; Convert real-time highway engineering quality data useful for intelligent evaluation of highway engineering quality; Eliminate the dimensional differences between real-time data on highway engineering quality and form a unified data format; Determine standardized real-time data on highway project quality; It should be noted that data conversion is the process of changing data from one form of representation to another. By converting the cleaned real-time highway engineering quality data, standardized real-time highway engineering quality data can be determined, which facilitates the subsequent feature extraction of the standardized real-time highway engineering quality data.

[0025] A feature extraction unit, used for extracting features from the converted real-time data of highway engineering quality; Obtaining real-time data on highway engineering quality after conversion and standardization; Extract features from standardized real-time data on highway engineering quality; Extract features that can reflect the intelligent evaluation of highway engineering quality; Determine the quality characteristic data of highway projects based on big data.

[0026] It should be noted that in machine learning, pattern recognition, and image processing, feature extraction starts with an initial set of measurements and builds derived values ​​(features) that are intended to be informative and non-redundant, thereby facilitating subsequent learning and generalization steps and, in some cases, leading to better interpretability.

[0027] The quality assessment module is used to intelligently assess the quality of highway projects and determine the intelligent assessment results of highway project quality based on big data; In this embodiment, the quality assessment module includes: A data storage unit, used for storing highway engineering quality standard data based on big data; According to the needs of intelligent assessment of highway engineering quality, highway engineering quality standard data based on big data is pre-set, and the pre-set highway engineering quality standard data based on big data is stored for backup; An index calling unit, used for indexing and calling highway engineering quality standard data based on big data; According to the needs of intelligent assessment of highway engineering quality, the stored highway engineering quality standard data based on big data is indexed, and the indexed highway engineering quality standard data based on big data is called out to provide a reference basis for subsequent intelligent assessment of highway engineering quality; Quality assessment unit, used for intelligent assessment of highway project quality; Obtain highway engineering quality characteristic data based on big data; Based on highway engineering quality standard data, conduct comparative analysis on highway engineering quality characteristic data, intelligently evaluate highway engineering quality, and determine the intelligent evaluation results of highway engineering quality based on big data; Among them, each characteristic parameter in the highway engineering quality characteristic data is extracted one by one; Compare and analyze the extracted characteristic parameters one by one with the standard parameters in the highway engineering quality standard data, and form the intelligent evaluation results of highway engineering quality after one by one comparison and analysis; Specifically, if the highway engineering quality characteristic data is within the highway engineering quality standard data range, then the highway engineering quality intelligent assessment result is that the highway engineering quality is qualified; Specifically, if the highway engineering quality characteristic data is not within the highway engineering quality standard data range, the result of the highway engineering quality intelligent assessment is that the highway engineering quality is unqualified.

[0028] The intelligent management and control module is used to carry out intelligent management and control of highway projects to ensure the quality of highway projects.

[0029] In this embodiment, the intelligent management and control module includes: A sorting and display unit is used to sort and display the intelligent evaluation of highway engineering quality; Obtain intelligent evaluation results of highway engineering quality based on big data; According to the intelligent evaluation results of highway engineering quality based on big data, the highway engineering quality characteristic data based on big data is mined, analyzed and sorted; Determine the intelligent assessment report of highway engineering quality based on big data; Among them, the intelligent assessment report on highway engineering quality based on big data is transmitted to the management terminal based on Bluetooth or wireless connection, so that the intelligent assessment report on highway engineering quality based on big data is displayed in real time in a visual form; Specifically, real-time monitoring of whether the data transmission operation status of the highway engineering quality intelligent assessment report based on big data is abnormal includes: Collecting data transmission operation status parameters of the highway engineering quality intelligent assessment report based on big data in real time; wherein the data transmission operation status parameters include data transmission rate, channel strength attenuation ratio, garbled bit rate and data integrity rate of the highway engineering quality intelligent assessment report based on big data; Extracting the garbled code rate and data integrity rate during the data transmission process of the highway engineering quality intelligent assessment report based on big data; The report transmission status parameters are obtained by using the garbled bit rate and data integrity rate during the data transmission process of the highway engineering quality intelligent assessment report based on big data; The report transmission status parameter is obtained by the following formula: ; Among them, V 01 represents the report transmission status parameter; n represents the number of data transmissions of the intelligent evaluation report on highway engineering quality based on big data; W i represents the data integrity rate corresponding to the i-th data transmission; L i represents the garbled bit rate corresponding to the i-th data transmission; W b represents the standard deviation of the data integrity rate corresponding to n data transmissions; L b represents the standard deviation of the garbled bit rate corresponding to n data transmissions; C bIt represents the standard deviation of the data volume of the intelligent evaluation report of highway engineering quality based on big data corresponding to n data transmissions; The report transmission status parameter is compared with a preset parameter threshold, and according to the comparison result, it is determined whether there is an abnormality in the data transmission operation status of the highway engineering quality intelligent assessment report based on big data.

[0030] The technical effect of the above technical solution is: by real-time collection of data transmission operation status parameters (such as data transmission rate, channel strength attenuation ratio, garbled bit rate and data integrity rate) of the intelligent evaluation report of highway engineering quality based on big data, the solution can timely discover potential problems in the data transmission process. By extracting and utilizing the two key indicators of garbled bit rate and data integrity rate, combined with other parameters, the status of data transmission can be comprehensively evaluated, thereby realizing real-time monitoring and early warning of data transmission anomalies.

[0031] By introducing a complex formula to calculate the report transmission status parameter, the parameter comprehensively considers the number of data transmissions, the data integrity rate of each transmission, the garbled rate, and the standard deviation of these data, so as to more accurately reflect the overall status of data transmission. By comparing this comprehensive parameter with the preset parameter threshold, it is possible to more accurately determine whether there is an abnormality in the data transmission operation status, reducing the possibility of false alarms and missed reports. Real-time monitoring and accurate judgment help to timely discover and solve problems in data transmission, such as channel attenuation, data garbled, etc., thereby improving the quality and reliability of data transmission. This is crucial for the accuracy and timeliness of the intelligent evaluation report of highway engineering quality, and helps to ensure the accuracy of the evaluation results and the scientific nature of decision-making. Through real-time monitoring and early warning, potential system failures can be discovered and solved in advance, thereby avoiding serious consequences such as system downtime or data loss caused by data transmission problems. This helps to reduce system maintenance costs and improve the overall performance and stability of the system. This solution is not only applicable to the current data transmission of the intelligent evaluation report of highway engineering quality, but can also be expanded and adapted to other similar data transmission scenarios according to actual needs. By adjusting the parameters and thresholds in the formula, it can flexibly adapt to changes in different data transmission environments and requirements.

[0032] In summary, this technical solution improves the quality and reliability of data transmission, reduces system maintenance costs, and enhances the scalability and adaptability of the system through real-time monitoring and accurate evaluation of data transmission status. This is of great significance for ensuring the accuracy and timeliness of intelligent evaluation reports on highway engineering quality.

[0033] Specifically, the report transmission status parameter is compared with a preset parameter threshold, and according to the comparison result, it is determined whether the data transmission operation status of the highway engineering quality intelligent assessment report based on big data is abnormal, including: Extract data transmission rate and channel strength attenuation ratio; Comparing the reported transmission status parameter with a preset parameter threshold to obtain a comparison result; When the comparison result shows that the report transmission status parameter is lower than the preset parameter threshold, it indicates that the data transmission operation status of the current highway engineering quality intelligent evaluation report based on big data is in a normal state; When the comparison result indicates that the reported transmission status parameter is not lower than a preset parameter threshold, the data transmission rate and the channel strength attenuation ratio are retrieved; Acquire a data transmission operation status parameter using the data transmission rate and the channel strength attenuation ratio in combination with the reported transmission status parameter; The data transmission operation status parameter is obtained by the following formula: ; Among them, V 02 Indicates the data transmission operation status parameter; V 01 represents the report transmission status parameter; n represents the number of data transmissions of the intelligent evaluation report on highway engineering quality based on big data; F i represents the data transmission rate corresponding to the i-th data transmission; B i represents the channel strength attenuation ratio corresponding to the i-th data transmission; F fi Indicates the rate floating ratio of the data transmission rate corresponding to the i-th data transmission; Comparing the data transmission operation status parameter with a preset operation status parameter threshold; When the data transmission operation status parameter exceeds a preset operation status parameter threshold, it is determined that the data transmission operation status is abnormal, and an abnormality alarm is issued.

[0034] The technical effect of the above technical solution is that the solution first makes a preliminary judgment on the data transmission operation status by comparing the reported transmission status parameters with the preset parameter threshold. This step can quickly screen out data transmission situations that may have problems. When the reported transmission status parameters reach or exceed the threshold, two key indicators, data transmission rate and channel strength attenuation ratio, are further introduced, and a deeper analysis is performed in combination with the reported transmission status parameters. This multi-level and gradually in-depth monitoring mechanism improves the accuracy and reliability of abnormality judgment. By introducing multiple parameters such as data transmission rate, channel strength attenuation ratio, and rate floating ratio, the solution can more comprehensively evaluate the quality of data transmission. These parameters together reflect the efficiency, stability, and reliability of data transmission, which helps to more accurately determine whether there are abnormalities in data transmission.

[0035] The data transmission operation status parameter is calculated by a comprehensive formula, which takes into account multiple factors, including the reported transmission status parameter, the number of data transmissions, the data transmission rate of each transmission, the channel strength attenuation ratio, and the rate floating ratio. This comprehensive evaluation method improves the accuracy of abnormality judgment and reduces the possibility of false alarms and missed alarms. When the data transmission operation status parameter exceeds the preset operation status parameter threshold, the scheme will trigger the abnormal alarm mechanism and promptly notify relevant personnel to handle it. This helps to quickly respond to data transmission anomalies and reduce the risks and losses caused by data transmission problems. By real-time monitoring and accurate determination of data transmission status, the scheme can promptly discover and solve potential data transmission problems, thereby enhancing the robustness and stability of the system. This is of great significance to ensure the accuracy and timeliness of the intelligent evaluation report of highway engineering quality, and helps to improve the level and efficiency of highway engineering quality management. Through a multi-level monitoring and determination mechanism, the scheme can more effectively utilize system resources and avoid unnecessary resource waste. For example, when the data transmission status is normal, the occupation and consumption of system resources can be reduced; when an abnormality is found, the problem can be quickly located and corresponding measures can be taken to deal with it, thereby improving the utilization efficiency of system resources.

[0036] In summary, this technical solution provides a strong guarantee for the data transmission of intelligent assessment reports on highway engineering quality through its technical effects in terms of multi-level monitoring and judgment mechanism, comprehensive evaluation of data transmission quality, improving the accuracy of abnormal judgment, abnormal alarm and timely response, enhancing system robustness and stability, and optimizing system resource utilization.

[0037] Intelligent control unit, used for intelligent control of highway projects; Obtain intelligent assessment reports on highway engineering quality based on big data; Formulate intelligent highway engineering quality control plans based on intelligent highway engineering quality assessment reports based on big data; Based on the intelligent control solution for highway engineering quality, intelligent control of highway engineering is carried out; Among them, when the quality of highway projects is unqualified, timely warnings will be given to the quality of highway projects, and targeted guidance and rectification measures will be taken to maintain and manage the highway projects to ensure that the quality of highway projects is qualified.

[0038] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0039] 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. The intelligent evaluation system for highway engineering quality is characterized by: include: The data collection module is used to collect material data, machine data, operation data and road condition data of highway projects, and determine the real-time data of highway project quality based on big data; A data processing module is used to process the real-time data of highway engineering quality based on big data and determine the characteristic data of highway engineering quality based on big data; The quality assessment module is used to intelligently assess the quality of highway projects and determine the intelligent assessment results of highway project quality based on big data; The intelligent management and control module is used to carry out intelligent management and control of highway projects to ensure the quality of highway projects.

2. The highway engineering quality intelligent assessment system according to claim 1 is characterized in that: The data acquisition module comprises: The material collection unit is used to monitor and collect the conditions of materials used in the highway construction process in real time and obtain highway construction material data; The equipment collection unit is used to monitor and collect the equipment used in the highway construction process in real time and obtain highway construction equipment data; The operation collection unit is used to monitor and collect the operation procedures used in the highway engineering construction process in real time and obtain the highway engineering operation data; The road condition collection unit is used to monitor and collect the road surface type, width, slope, roadbed height and road surface cracks of the highway project in real time to obtain the road condition data of the highway project; Among them, based on highway engineering material data, highway engineering machinery data, highway engineering operation data and highway engineering road condition data, real-time data on highway engineering quality based on big data is determined.

3. The highway engineering quality intelligent evaluation system according to claim 2 is characterized in that: The data processing module comprises: Data cleaning unit, used to clean the real-time data of highway engineering quality based on big data; Obtain real-time data on highway engineering quality based on big data; Conduct consistency checks on real-time data on highway engineering quality based on big data; According to the reasonable value range and mutual relationship of each parameter in the real-time data of highway engineering quality based on big data, check whether the real-time data of highway engineering quality based on big data meets the requirements; Remove inconsistent data that is beyond the normal range, logically unreasonable or contradictory in the real-time data of highway engineering quality based on big data; Process invalid and missing values ​​of real-time highway engineering quality data based on big data; According to the requirements of data validity and integrity, check whether the real-time data of highway engineering quality based on big data contains invalid values ​​and missing values; Remove invalid values ​​and missing values ​​that are useless for intelligent evaluation of highway engineering quality in real-time data of highway engineering quality based on big data; Determine the real-time highway project quality data that is useful for intelligent assessment of highway project quality.

4. The highway engineering quality intelligent assessment system according to claim 3 is characterized in that: The data processing module further includes: A data conversion unit, used to convert the cleaned real-time data of highway engineering quality; Acquire real-time highway engineering quality data useful for intelligent assessment of highway engineering quality after cleaning; Convert real-time highway engineering quality data useful for intelligent evaluation of highway engineering quality; Eliminate the dimensional differences between real-time data on highway engineering quality and form a unified data format; Determine standardized real-time data on highway project quality; A feature extraction unit, used for extracting features from the converted real-time data of highway engineering quality; Obtaining real-time data on highway engineering quality after conversion and standardization; Extract features from standardized real-time data on highway engineering quality; Extract features that can reflect the intelligent evaluation of highway engineering quality; Determine the quality characteristic data of highway projects based on big data.

5. The highway engineering quality intelligent assessment system according to claim 4 is characterized in that: The quality assessment module comprises: A data storage unit, used for storing highway engineering quality standard data based on big data; According to the needs of intelligent assessment of highway engineering quality, highway engineering quality standard data based on big data is pre-set, and the pre-set highway engineering quality standard data based on big data is stored for backup; An index calling unit, used for indexing and calling highway engineering quality standard data based on big data; According to the needs of intelligent assessment of highway engineering quality, the stored highway engineering quality standard data based on big data is indexed, and the indexed highway engineering quality standard data based on big data is called out to provide a reference basis for subsequent intelligent assessment of highway engineering quality; Quality assessment unit, used to intelligently assess the quality of highway projects; Obtain highway engineering quality characteristic data based on big data; Based on highway engineering quality standard data, a comparative analysis of highway engineering quality characteristic data is conducted, and the highway engineering quality is intelligently evaluated to determine the intelligent evaluation results of highway engineering quality based on big data.

6. The highway engineering quality intelligent assessment system according to claim 5 is characterized in that: Based on the highway engineering quality standard data, the highway engineering quality characteristic data is compared and analyzed, and the following operations are performed: Extract each characteristic parameter in the highway engineering quality characteristic data one by one; Compare and analyze the extracted characteristic parameters one by one with the standard parameters in the highway engineering quality standard data, and form the intelligent evaluation results of highway engineering quality after one by one comparison and analysis; Among them, if the highway engineering quality characteristic data is within the highway engineering quality standard data range, then the highway engineering quality intelligent assessment result is that the highway engineering quality is qualified; Among them, if the highway engineering quality characteristic data is not within the scope of the highway engineering quality standard data, the result of the highway engineering quality intelligent assessment is that the highway engineering quality is unqualified.

7. The highway engineering quality intelligent assessment system according to claim 6 is characterized in that: The intelligent management and control module includes: A sorting and display unit is used to sort and display the intelligent evaluation of highway engineering quality; Obtain intelligent evaluation results of highway engineering quality based on big data; According to the intelligent evaluation results of highway engineering quality based on big data, the highway engineering quality characteristic data based on big data is mined, analyzed and sorted; Determine the intelligent assessment report of highway engineering quality based on big data; Among them, the highway engineering quality intelligent assessment report based on big data is transmitted to the management terminal based on Bluetooth or wireless connection, so that the highway engineering quality intelligent assessment report based on big data is displayed in real time in a visual form.

8. The highway engineering quality intelligent assessment system according to claim 7 is characterized in that: Real-time monitoring of whether the data transmission operation status of the highway engineering quality intelligent assessment report based on big data is abnormal, including: Collecting data transmission operation status parameters of the highway engineering quality intelligent assessment report based on big data in real time; wherein the data transmission operation status parameters include data transmission rate, channel strength attenuation ratio, garbled bit rate and data integrity rate of the highway engineering quality intelligent assessment report based on big data; Extracting the garbled code rate and data integrity rate during the data transmission process of the highway engineering quality intelligent assessment report based on big data; The report transmission status parameters are obtained by using the garbled bit rate and data integrity rate during the data transmission process of the highway engineering quality intelligent assessment report based on big data; The report transmission status parameter is obtained by the following formula: ； Among them, V 01 represents the report transmission status parameter; n represents the number of data transmissions of the intelligent evaluation report on highway engineering quality based on big data; W i represents the data integrity rate corresponding to the i-th data transmission; L i represents the garbled bit rate corresponding to the i-th data transmission; W b represents the standard deviation of the data integrity rate corresponding to n data transmissions; L b represents the standard deviation of the garbled bit rate corresponding to n data transmissions; C b Represents the standard deviation of the data volume of the intelligent assessment report on highway engineering quality based on big data corresponding to n data transmissions; compares the report transmission status parameter with the preset parameter threshold, and determines whether there is an abnormality in the data transmission operation status of the intelligent assessment report on highway engineering quality based on big data based on the comparison result.

9. The highway engineering quality intelligent assessment system according to claim 8 is characterized in that: Comparing the report transmission status parameter with a preset parameter threshold, and determining whether the data transmission operation status of the highway engineering quality intelligent assessment report based on big data is abnormal according to the comparison result, including: Extract data transmission rate and channel strength attenuation ratio; Comparing the reported transmission status parameter with a preset parameter threshold to obtain a comparison result; When the comparison result shows that the report transmission status parameter is lower than the preset parameter threshold, it indicates that the data transmission operation status of the current highway engineering quality intelligent evaluation report based on big data is in a normal state; When the comparison result indicates that the reported transmission status parameter is not lower than the preset parameter threshold, the data transmission rate and the channel strength attenuation ratio are retrieved; Acquire a data transmission operation status parameter using the data transmission rate and the channel strength attenuation ratio in combination with the reported transmission status parameter; The data transmission operation status parameter is obtained by the following formula: ； Among them, V 02 Indicates the data transmission operation status parameter; V 01 represents the report transmission status parameter; n represents the number of data transmissions of the intelligent evaluation report on highway engineering quality based on big data; F i represents the data transmission rate corresponding to the i-th data transmission; B i represents the channel strength attenuation ratio corresponding to the i-th data transmission; F fi Indicates the rate floating ratio of the data transmission rate corresponding to the i-th data transmission; Comparing the data transmission operation status parameter with a preset operation status parameter threshold; When the data transmission operation status parameter exceeds a preset operation status parameter threshold, it is determined that the data transmission operation status is abnormal, and an abnormality alarm is issued.

10. The highway engineering quality intelligent evaluation system according to claim 7 is characterized in that: The intelligent management and control module further includes: Intelligent control unit, used for intelligent control of highway projects; Obtain intelligent assessment reports on highway engineering quality based on big data; Formulate intelligent highway engineering quality control plans based on intelligent highway engineering quality assessment reports based on big data; Based on the intelligent control solution for highway engineering quality, intelligent control of highway engineering is carried out; Among them, when the quality of highway projects is unqualified, timely warnings will be given to the quality of highway projects, and targeted guidance and rectification measures will be taken to maintain and manage the highway projects to ensure that the quality of highway projects is qualified.

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