Building construction quality supervision method and system, electronic equipment and storage medium

Abstract

The invention relates to the technical field of building construction quality, and discloses a building construction quality supervision method and system, electronic equipment and a storage medium, and the method comprises the steps: obtaining construction quality data based on a sensor; preprocessing the construction quality data to obtain preprocessed construction quality data; performing feature extraction on the preprocessed construction quality data to obtain construction quality features; performing feature enhancement on the construction quality features to obtain enhanced construction quality features; performing feature screening on the enhanced construction quality features to obtain screened construction quality features; and analyzing the screening construction quality characteristics by using the quality analysis model to obtain a quality analysis result. Through application of the quality analysis model, subjective errors caused by manual inspection are reduced, the risks of missing inspection and misjudgment are reduced, and the efficiency and accuracy of quality supervision are improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of building construction quality, and in particular to a building construction quality supervision method, system, electronic device and storage medium. Background Art

[0002] With the acceleration of urbanization and the growing market demand, the scale and complexity of construction projects are increasing. At the same time, the supervision and control of construction quality are becoming more and more important.

[0003] With the rapid development of the construction industry, the scale and complexity of projects are increasing, and construction quality supervision faces multiple challenges. Traditional quality supervision methods rely on manual inspection and experience judgment. Different inspectors may give different assessments when facing the same construction link, resulting in subjectivity and inconsistency in the overall inspection results. This inconsistency may conceal or miss some quality problems, increasing the risk of the overall project. In large-scale construction projects, the construction site often involves the coordination of multiple links, processes and materials. The workload of manual inspection is huge, and it is difficult to ensure comprehensive coverage of the inspection. Due to time constraints, many projects in the construction industry are often unable to conduct sufficient quality inspections, resulting in problems that may not be discovered in time in key construction links. The problem reporting and rectification process in traditional quality supervision methods is often cumbersome, resulting in delayed feedback on problems and implementation of rectification measures. This delay not only affects the construction progress of the project, but may also bring more serious safety hazards to subsequent links. The data involved in quality inspections are usually scattered in different systems and lack effective integration. Manually recorded inspection results are often not timely and comprehensive, making it difficult to conduct effective data analysis and application, making it impossible to form a closed loop for quality management during the construction process. This poses a potential threat to the safety and quality of construction projects.

[0004] Therefore, the traditional quality supervision method has many problems such as low efficiency, poor accuracy, and delayed feedback, and it is difficult to meet the growing project complexity and quality requirements. In view of this, the present invention is specially proposed. Summary of the invention

[0005] In order to solve the above technical problems or at least partially solve the above technical problems, the embodiments of the present invention provide a construction quality supervision method, system, electronic device and computer-readable storage medium, which can reduce the subjective errors caused by manual inspection, reduce the risks of missed inspections and misjudgments, and improve the efficiency and accuracy of quality supervision.

[0006] In a first aspect, an embodiment of the present disclosure provides a method for supervising construction quality, the method comprising:

[0007] Acquire construction quality data based on sensors;

[0008] Preprocessing the construction quality data to obtain preprocessed construction quality data;

[0009] Extracting features from the pre-processed construction quality data to obtain construction quality features;

[0010] Performing feature enhancement on the construction quality feature to obtain an enhanced construction quality feature;

[0011] Performing feature screening on the enhanced construction quality feature to obtain screened construction quality features;

[0012] The quality analysis model is used to analyze the screening construction quality characteristics to obtain a quality analysis result, wherein the quality analysis result is used to monitor the construction quality.

[0013] In a second aspect, an embodiment of the present disclosure further provides a construction quality supervision system, the system comprising:

[0014] A data acquisition module, used for acquiring construction quality data based on sensors;

[0015] A preprocessing module, used for preprocessing the construction quality data to obtain preprocessed construction quality data;

[0016] A feature acquisition module, used for extracting features from the pre-processed construction quality data to obtain construction quality features;

[0017] A feature enhancement module, used for enhancing the construction quality feature to obtain an enhanced construction quality feature;

[0018] A feature screening and acquisition module, used to perform feature screening on the enhanced construction quality features to obtain screened construction quality features;

[0019] The analysis result acquisition module is used to analyze the screened construction quality characteristics using a quality analysis model to obtain a quality analysis result, wherein the quality analysis result is used to monitor the construction quality.

[0020] In a third aspect, an embodiment of the present disclosure further provides an electronic device, comprising: one or more processors; a storage device for storing one or more programs; the one or more programs are executed by the one or more processors to implement the construction quality supervision method as described above.

[0021] In a fourth aspect, an embodiment of the present disclosure further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the construction quality supervision method as described above.

[0022] The embodiments of the present disclosure provide a construction quality supervision method, system, electronic device and computer-readable storage medium, the method comprising: acquiring construction quality data based on a sensor; preprocessing the construction quality data to obtain preprocessed construction quality data; extracting features from the preprocessed construction quality data to obtain construction quality features; enhancing the construction quality features to obtain enhanced construction quality features; screening the enhanced construction quality features to obtain screened construction quality features; analyzing the screened construction quality features using a quality analysis model to obtain quality analysis results. The present disclosure improves the quality of construction quality data by preprocessing, then increases the adaptability and flexibility of features by feature extraction, and finally reduces the subjective errors caused by manual inspections by applying quality analysis models, reduces the risks of missed detections and misjudgments, and improves the efficiency and accuracy of quality supervision. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and the originals and elements are not necessarily drawn to scale.

[0024] Figure 1 The present invention is a flowchart of a method for supervising construction quality in an embodiment of the present invention.

[0025] Figure 2 It is a structural schematic diagram of a construction quality supervision system in an embodiment of the present disclosure.

[0026] Figure 3 It is a structural schematic diagram of an electronic device in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0027] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments described herein, which are instead provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0028] It should be noted that the concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0029] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only for illustrative purposes, and are not used to limit the scope of these messages or information.

[0030] In response to the above problems, the embodiments of the present disclosure provide a method for supervising construction quality, which reduces the subjective errors caused by manual inspection, reduces the risks of missed inspections and misjudgments, and improves the efficiency and accuracy of quality supervision.

[0031] Figure 1 1 is a flow chart of a construction quality supervision method in an embodiment of the present disclosure. The method can be executed by a construction quality supervision system, the device can be implemented in software and / or hardware, and the system can be configured in an electronic device. Figure 1 As shown, the method may specifically include the following steps:

[0032] S110: Acquire construction quality data based on sensors.

[0033] Specifically, the construction quality data includes environmental conditions, construction progress, and material usage. Data related to the construction process, i.e., construction quality data, is obtained through various sensors at the construction site, such as temperature sensors, humidity sensors, and acceleration sensors. The construction quality data can be image data or text data, but is not limited thereto.

[0034] S120: Preprocessing the construction quality data to obtain preprocessed construction quality data.

[0035] Specifically, the construction quality data obtained above are cleaned and screened to improve the quality of the data; then the mean and standard deviation of the construction quality data are used to further screen the construction quality data to identify key construction quality data, i.e., preprocess the construction quality data.

[0036] In an optional embodiment, preprocessing the construction quality data to obtain preprocessed construction quality data includes:

[0037] Based on the construction quality data, determining a first mean and a first standard deviation of the construction quality data;

[0038] Based on the construction quality data, the first mean value and the first standard deviation, pre-processed construction quality data is determined, and the expression of the pre-processed construction quality data is: ,

[0039] in, represents the preprocessed construction quality data, Indicates construction quality data, Indicates construction quality data The first mean of Indicates construction quality data The first standard deviation of Indicates construction quality data The first scaling factor is represents the penalty factor, represents the norm symbol, represents the Bayesian probability density function.

[0040] This embodiment obtains construction quality data of better quality by preprocessing the construction quality data, improves the relevance of the construction quality data, and provides accuracy for subsequent data processing.

[0041] S130: Extracting features from the pre-processed construction quality data to obtain construction quality features.

[0042] Specifically, feature extraction is the process of extracting key feature information related to construction quality from pre-processed construction quality data. The mean and standard deviation of the pre-processed construction quality data and influencing factors can be used to extract features from the processed construction quality data to obtain construction quality features.

[0043] In an optional embodiment, feature extraction is performed on the pre-processed construction quality data to obtain construction quality features, including:

[0044] Based on the preprocessed construction quality data, determining a maximum value and a minimum value in the preprocessed construction quality data;

[0045] Based on the preprocessed construction quality data, determining a second mean and a second standard deviation of the preprocessed construction quality data;

[0046] Based on the pre-processed construction quality data, the maximum value, the minimum value, the second mean value and the second standard deviation, a construction quality feature is determined, and the expression of the construction quality feature is: ,

[0047] in, Indicates the construction quality characteristics, represents the mean impact factor, Represents preprocessed construction quality data The second scaling factor, represents the normal distribution density function, Represents preprocessed construction quality data The second mean of Represents preprocessed construction quality data The second standard deviation of Represents preprocessed construction quality data The maximum value of Represents preprocessed construction quality data The minimum value of Represents the feature dimension influencing factor.

[0048] It should be noted that in building construction, construction quality directly affects the safety and performance of the building. The feature extraction method adopted in the present invention captures the impact of construction quality data deviating from the mean, reflects the changes in performance under different quality levels, and converts complex construction quality data into key features that can be used for subsequent analysis.

[0049] S140: Perform feature enhancement on the construction quality feature to obtain enhanced construction quality feature.

[0050] Specifically, feature enhancement is to further nonlinearly transform and combine the extracted construction quality features to improve the expressiveness and information content of the features. The mean of the construction quality features and the feature contribution adjustment factor can be used to enhance the construction quality features to obtain enhanced construction quality features.

[0051] In an optional embodiment, the construction quality feature is enhanced to obtain the enhanced construction quality feature, including:

[0052] Based on the construction quality feature, determining a third mean value of the construction quality feature;

[0053] Based on the construction quality feature, the third mean, the first feature contribution adjustment factor and the second feature contribution adjustment factor, an enhanced construction quality feature is determined, and the expression of the enhanced construction quality feature is: ,

[0054] in, Indicates enhanced construction quality features, Indicates construction quality characteristics The third scaling factor is Indicates construction quality characteristics The third mean of represents the first characteristic contribution adjustment factor, Represents the second feature contribution adjustment factor.

[0055] The enhanced construction quality features in the embodiments of the present application reflect more complex construction quality patterns and increase the adaptability and flexibility of the features. The power operation and sine function enhance the sensitivity to changes in the construction quality features so that they can respond to smaller feature changes. The logarithmic transformation helps process features with extremely large or extremely small values ​​to reduce the impact of extreme feature values.

[0056] S150: Perform feature screening on the enhanced construction quality features to obtain screened construction quality features.

[0057] Specifically, feature screening is to screen out the most important and effective features from the enhanced construction quality features, screen out important features, make the model focus on the factors that really affect the construction quality, and enhance the accuracy of feature processing. The mean of the enhanced construction quality features and the third feature contribution adjustment factor can be used to screen the enhanced construction quality features to obtain the screened construction quality features.

[0058] In an optional embodiment, the enhanced construction quality features are subjected to feature screening to obtain the screened construction quality features, including:

[0059] Based on the enhanced construction quality feature, determining a fourth mean value of the enhanced construction quality feature;

[0060] Based on the construction quality feature, the enhanced construction quality feature, the fourth mean, the first feature contribution adjustment factor and the third feature contribution adjustment factor, a screening construction quality feature is determined, and the expression of the screening construction quality feature is: ,

[0061] in, Indicates the screening construction quality characteristics, Indicates enhanced construction quality features The fourth mean of .

[0062] The embodiments of the present application remove redundant or irrelevant enhanced construction quality features through feature screening, and only retain the enhanced construction quality features that have the greatest impact on the target output. Secondly, the number of features is reduced, and the feature complexity is reduced, which helps to reduce the risk of overfitting.

[0063] S160: Analyze the screened construction quality features using a quality analysis model to obtain a quality analysis result, wherein the quality analysis result is used to monitor the construction quality.

[0064] Specifically, the quality analysis result can be a quality analysis score. The quality analysis model conducts in-depth analysis on the screened construction quality characteristics to determine whether the construction quality meets the preset standards to identify potential quality problems and risks.

[0065] On the basis of the above embodiment, the following formula is used to determine the quality analysis result, wherein the expression of the quality analysis model is: ,

[0066] in, Indicates the quality analysis results, represents the hyperbolic tangent function, Indicates the screening construction quality characteristics The mean of Indicates the screening construction quality characteristics The standard deviation of represents the feature penalty factor, represents the characteristic residual coefficient factor, represents the feature scaling factor, Represents the gamma distribution density function.

[0067] In an optional embodiment, the method further comprises:

[0068] When the quality analysis results exceed the warning threshold, the warning information is triggered and the relevant personnel are informed.

[0069] Specifically, a warning threshold is set in advance, and the quality analysis result (score) is determined based on the warning threshold to determine whether it exceeds the normal range or there is a potential risk. When it is determined that the quality analysis result exceeds the warning threshold, the system is triggered to generate a warning message and inform relevant personnel that there is a risk in the building, or the building quality does not meet the standards.

[0070] The embodiment of the present application notifies relevant personnel of the quality analysis results of abnormal construction quality or potential risks in a timely manner, which facilitates rapid response and processing. And through the rapid early warning mechanism, hidden dangers in the construction process can be reduced, construction safety can be enhanced, and the smooth progress of the entire project can be ensured.

[0071] In summary, the embodiments of the present disclosure provide a construction quality supervision method, which includes: obtaining construction quality data based on sensors; preprocessing the construction quality data to obtain preprocessed construction quality data; extracting features from the preprocessed construction quality data to obtain construction quality features; enhancing the construction quality features to obtain enhanced construction quality features; screening the enhanced construction quality features to obtain screened construction quality features; and analyzing the screened construction quality features using a quality analysis model to obtain quality analysis results. The present disclosure improves the quality of construction quality data through preprocessing, then increases the adaptability and flexibility of features through feature extraction, and finally reduces the subjective errors caused by manual inspection through the application of quality analysis models, reduces the risks of missed detection and misjudgment, and improves the efficiency and accuracy of quality supervision.

[0072] Figure 2 FIG. 1 is a schematic diagram of the structure of the construction quality supervision system in the embodiment of the present disclosure. Figure 2 As shown, the system includes a data acquisition module 210 , a preprocessing module 220 , a feature acquisition module 230 , a feature enhancement module 240 , a feature screening acquisition module 250 and an analysis result acquisition module 260 .

[0073] The data acquisition module 210 is used to acquire construction quality data based on sensors;

[0074] The preprocessing module 220 is used to preprocess the construction quality data to obtain preprocessed construction quality data;

[0075] The feature acquisition module 230 is used to enhance the construction quality feature to obtain an enhanced construction quality feature;

[0076] The feature enhancement module 240 is used to enhance the construction quality feature to obtain an enhanced construction quality feature;

[0077] The feature screening and acquisition module 250 is used to perform feature screening on the enhanced construction quality features to obtain screened construction quality features;

[0078] The analysis result acquisition module 260 is used to analyze the screened construction quality features using a quality analysis model to obtain a quality analysis result, wherein the quality analysis result is used to monitor the construction quality.

[0079] In a specific embodiment, the preprocessing module is further used to preprocess the construction quality data to obtain preprocessed construction quality data, including:

[0080] Based on the construction quality data, determining a first mean and a first standard deviation of the construction quality data;

[0081] Based on the construction quality data, the first mean value and the first standard deviation, pre-processed construction quality data is determined, and the expression of the pre-processed construction quality data is: ,

[0082] in, represents the preprocessed construction quality data, Indicates construction quality data, Indicates construction quality data The first mean of Indicates construction quality data The first standard deviation of Indicates construction quality data The first scaling factor is represents the penalty factor, represents the norm symbol, represents the Bayesian probability density function.

[0083] In a specific embodiment, the feature acquisition module is further used to extract features from the pre-processed construction quality data to obtain construction quality features, including:

[0084] Based on the preprocessed construction quality data, determining a maximum value and a minimum value in the preprocessed construction quality data;

[0085] Based on the preprocessed construction quality data, determining a second mean and a second standard deviation of the preprocessed construction quality data;

[0086] Based on the pre-processed construction quality data, the maximum value, the minimum value, the second mean value and the second standard deviation, a construction quality feature is determined, and the expression of the construction quality feature is: ,

[0087] in, Indicates the construction quality characteristics, represents the mean impact factor, Represents preprocessed construction quality data The second scaling factor, represents the normal distribution density function, Represents preprocessed construction quality data The second mean of Represents preprocessed construction quality data The second standard deviation of Represents preprocessed construction quality data The maximum value of Represents preprocessed construction quality data The minimum value of Represents the feature dimension influencing factor.

[0088] In a specific embodiment, the feature enhancement module is further used to enhance the construction quality feature to obtain the enhanced construction quality feature, including:

[0089] Based on the construction quality feature, determining a third mean value of the construction quality feature;

[0090] Based on the construction quality feature, the third mean, the first feature contribution adjustment factor and the second feature contribution adjustment factor, an enhanced construction quality feature is determined, and the expression of the enhanced construction quality feature is: ,

[0091] in, Indicates enhanced construction quality features, Indicates construction quality characteristics The third scaling factor, Indicates construction quality characteristics The third mean of represents the first characteristic contribution adjustment factor, Represents the second feature contribution adjustment factor.

[0092] In a specific embodiment, the feature screening and acquisition module is further used to perform feature screening on the enhanced construction quality features to obtain the screened construction quality features, including:

[0093] Based on the enhanced construction quality feature, determining a fourth mean value of the enhanced construction quality feature;

[0094] Based on the construction quality feature, the enhanced construction quality feature, the fourth mean, the first feature contribution adjustment factor and the third feature contribution adjustment factor, a screening construction quality feature is determined, and the expression of the screening construction quality feature is: ,

[0095] in, Indicates the screening construction quality characteristics, Indicates enhanced construction quality features The fourth mean of .

[0096] In a specific embodiment, the expression of the quality analysis model is: ,

[0097] in, Indicates the quality analysis results, represents the hyperbolic tangent function, Indicates the screening construction quality characteristics The mean of Indicates the screening construction quality characteristics The standard deviation of represents the feature penalty factor, represents the characteristic residual coefficient factor, represents the feature scaling factor, Represents the gamma distribution density function.

[0098] In a specific embodiment, the BIM construction quality supervision system also includes: when the quality analysis result exceeds the warning threshold, triggering warning information and notifying relevant personnel.

[0099] The construction quality supervision system provided by the embodiments of the present disclosure can execute the steps in the construction quality supervision method provided by the method embodiments of the present disclosure, and the execution steps and beneficial effects are no longer repeated here.

[0100] Figure 3 Schematic diagram of the structure of an electronic device in an embodiment of the present disclosure. Figure 3 , which shows a structural schematic diagram of an electronic device 500 suitable for implementing the embodiments of the present disclosure. Figure 3The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0101] like Figure 3 As shown, the electronic device 500 may include a processing device 501, a ROM 502, a RAM 503, a bus 504, an input / output (I / O) interface 505, an input device 506, an output device 507, a storage device 508, and a communication device 509. The processing device (e.g., a central processing unit, a graphics processor, etc.) 501 can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 502 or the program loaded from the storage device 508 to the random access memory (RAM) 503 to implement the construction quality supervision method of the embodiment described in the present disclosure. In the RAM 503, various programs and data required for the operation of the electronic device 500 are also stored. The processing device 501, the ROM 502, and the RAM 503 are connected to each other through the bus 504. The input / output (I / O) interface 505 is also connected to the bus 504.

[0102] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a non-transitory computer-readable medium, and the computer program contains program code for executing the method shown in the flowchart, thereby implementing the construction quality supervision method as described above. In such an embodiment, the computer program can be downloaded and installed from the network through the communication device 509, or installed from the storage device 508, or installed from the ROM 502. When the computer program is executed by the processing device 501, the above functions defined in the method of the embodiment of the present disclosure are executed.

[0103] It should be noted that the computer-readable medium mentioned above in the present disclosure 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 or 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 disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present disclosure, 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 program code. This propagated data signal may take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. Computer readable signal media may also be any computer readable medium other than computer readable storage media, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0104] The computer-readable medium may be included in the electronic device; or it may exist independently without being assembled into the electronic device. The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device: acquires construction quality data based on sensors; preprocesses the construction quality data to obtain preprocessed construction quality data; extracts features from the preprocessed construction quality data to obtain construction quality features; enhances the construction quality features to obtain enhanced construction quality features; performs feature screening on the enhanced construction quality features to obtain screened construction quality features; and analyzes the screened construction quality features using a quality analysis model to obtain quality analysis results, wherein the quality analysis results are used to monitor construction quality.

[0105] Optionally, when the above one or more programs are executed by the electronic device, the electronic device may also execute other steps described in the above embodiments.

[0106] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or 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 foregoing.

[0107] The above description is only a preferred embodiment of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present disclosure is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present disclosure (but not limited to) by each other to form a technical solution.

Claims

1. Construction quality supervision methods, including: Acquire construction quality data based on sensors; Preprocessing the construction quality data to obtain preprocessed construction quality data; Extracting features from the pre-processed construction quality data to obtain construction quality features; Performing feature enhancement on the construction quality feature to obtain an enhanced construction quality feature; Performing feature screening on the enhanced construction quality feature to obtain screened construction quality features; The quality analysis model is used to analyze the screening construction quality characteristics to obtain a quality analysis result, wherein the quality analysis result is used to monitor the construction quality.

2. The construction quality supervision method according to claim 1, wherein: Preprocessing the construction quality data to obtain preprocessed construction quality data includes: Based on the construction quality data, determining a first mean and a first standard deviation of the construction quality data; Based on the construction quality data, the first mean value and the first standard deviation, pre-processed construction quality data is determined, and the expression of the pre-processed construction quality data is: ， in, represents the preprocessed construction quality data, Indicates construction quality data, Indicates construction quality data The first mean of Indicates construction quality data The first standard deviation of Indicates construction quality data The first scaling factor is represents the penalty factor, represents the norm symbol, represents the Bayesian probability density function.

3. The construction quality supervision method according to claim 2, wherein: Extracting features from the pre-processed construction quality data to obtain construction quality features includes: Based on the preprocessed construction quality data, determining a maximum value and a minimum value in the preprocessed construction quality data; Based on the preprocessed construction quality data, determining a second mean and a second standard deviation of the preprocessed construction quality data; Based on the pre-processed construction quality data, the maximum value, the minimum value, the second mean value and the second standard deviation, a construction quality feature is determined, and the expression of the construction quality feature is: ， in, Indicates the construction quality characteristics, represents the mean impact factor, Represents preprocessed construction quality data The second scaling factor, represents the normal distribution density function, Represents preprocessed construction quality data The second mean of Represents preprocessed construction quality data The second standard deviation of Represents preprocessed construction quality data The maximum value of Represents preprocessed construction quality data The minimum value of Represents the feature dimension influencing factor.

4. The construction quality supervision method according to claim 3, wherein: performing feature enhancement on the construction quality feature, Gain access to enhanced construction quality features, including: Based on the construction quality feature, determining a third mean value of the construction quality feature; Based on the construction quality feature, the third mean, the first feature contribution adjustment factor and the second feature contribution adjustment factor, an enhanced construction quality feature is determined, and the expression of the enhanced construction quality feature is: ， in, Indicates enhanced construction quality features, Indicates construction quality characteristics The third scaling factor is Indicates construction quality characteristics The third mean of represents the first characteristic contribution adjustment factor, Represents the second feature contribution adjustment factor.

5. The construction quality supervision method according to claim 4, wherein: The enhanced construction quality features are subjected to feature screening to obtain screened construction quality features, including: Based on the enhanced construction quality feature, determining a fourth mean value of the enhanced construction quality feature; Based on the construction quality feature, the enhanced construction quality feature, the fourth mean, the first feature contribution adjustment factor and the third feature contribution adjustment factor, a screening construction quality feature is determined, and the expression of the screening construction quality feature is: ， in, Indicates the screening construction quality characteristics, Indicates enhanced construction quality features The fourth mean of .

6. The construction quality supervision method according to claim 5, wherein: The expression of the quality analysis model is: ， in, Indicates the quality analysis results, represents the hyperbolic tangent function, Indicates the screening construction quality characteristics The mean of Indicates the screening construction quality characteristics The standard deviation of represents the feature penalty factor, represents the characteristic residual coefficient factor, represents the feature scaling factor, Represents the gamma distribution density function.

7. The construction quality supervision method according to claim 1 further comprises: When the quality analysis results exceed the warning threshold, the warning information is triggered and the relevant personnel are informed.

8. Construction quality supervision system, including: A data acquisition module, used for acquiring construction quality data based on sensors; A preprocessing module, used for preprocessing the construction quality data to obtain preprocessed construction quality data; A feature acquisition module, used for extracting features from the pre-processed construction quality data to obtain construction quality features; A feature enhancement module, used for enhancing the construction quality feature to obtain an enhanced construction quality feature; A feature screening and acquisition module, used to perform feature screening on the enhanced construction quality features to obtain screened construction quality features; The analysis result acquisition module is used to analyze the screened construction quality characteristics using a quality analysis model to obtain a quality analysis result, wherein the quality analysis result is used to monitor the construction quality.

9. Electronic equipment, including: one or more processors; a storage device, the storage device being used to store one or more programs, When the one or more programs are executed by the one or more processors, the method according to any one of claims 1 to 7 is implemented.

10. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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