Building construction quality management system, method and equipment based on QMS (Quality Management System) and medium

Abstract

The invention discloses a QMS-based building construction quality management system, method, equipment and medium, and the system comprises a project information management module, a quality standard setting module, a construction process monitoring module, a quality detection and evaluation module, a problem rectification and tracking module, a data analysis and decision support module and a system interface module which have corresponding functions and performance indexes. For example, the information storage integrity is more than 98%, the quality standard setting accuracy is more than 95%, an innovative formula is used for quality evaluation, and equipment and media have clear requirements, so that efficient and accurate building construction quality management is realized; the system improves the building construction quality management efficiency and precision, guarantees that the quality reaches the standard, reduces the risk, improves the benefits, promotes the quality improvement and technical progress of the building industry through the functions of precise evaluation, efficient rectification, intelligent decision making and the like, and has a remarkable application value.

Description

Technical Field

[0001] The present invention relates to the technical field of building quality management systems, and in particular to a QMS-based building construction quality management system, method, equipment and medium. Background Art

[0002] The construction industry is one of the important pillars of the national economy, but it has long faced many challenges in quality management. With the continuous expansion of the scale of construction projects, the increasing complexity and people's increasingly stringent requirements for building quality, traditional quality management methods have gradually revealed their limitations.

[0003] In traditional construction quality management, information management is often scattered and chaotic. Basic project information, such as participants, construction period, materials and equipment, may be recorded in different documents or systems, lacking a unified integration and efficient retrieval mechanism, which leads to inefficient information query and management, and is prone to information omissions or errors, affecting the overall coordination and decision-making of the project.

[0004] There are also problems with the setting of quality standards. On the one hand, although the country and the industry have relevant quality standards and specifications, they may lack targeted refinement and adjustment when applied to each construction project. On the other hand, the traditional way of delivering and implementing quality standards mainly relies on paper documents and manual communication, which is prone to misunderstanding and inadequate implementation, making it difficult to ensure that each construction link can accurately meet the standard requirements.

[0005] Monitoring the construction process is a key link in quality management, but the traditional method mainly relies on manual inspections and regular checks. This method has many disadvantages, such as low monitoring frequency, limited coverage, and difficulty in real-time grasp of construction progress, material usage, and process execution. It is difficult to discover and handle some hidden projects or construction problems that occur instantly, which can easily lead to quality risks. In addition, the accuracy and timeliness of manually recorded data are difficult to guarantee, and subsequent data collation and analysis are difficult.

[0006] In terms of quality inspection and evaluation, it mainly relies on manual experience and limited inspection tools. The inspection methods are relatively simple and the quality inspection capabilities for some new building materials and complex construction processes are insufficient. The evaluation process is often highly subjective and lacks scientific data analysis and quantitative evaluation indicators. It is difficult to accurately and comprehensively reflect the actual situation of construction quality, and it is also impossible to discover potential quality problems in a timely manner.

[0007] When quality problems are discovered, the rectification and tracking process lacks effective information technology support. Problem records may not be detailed, and the allocation and notification of rectification tasks may not be timely and accurate, resulting in unclear responsibilities and inadequate implementation of rectification measures. Moreover, the tracking of rectification process and results mainly relies on manual reporting, which lacks real-time and transparency, making it difficult to ensure that quality problems are completely resolved.

[0008] In terms of data analysis and decision support, traditional quality management has accumulated a large amount of data, but most of this data has not been effectively used. Due to the lack of advanced data analysis technology and tools, it is impossible to mine valuable information from massive data, such as quality trends, risk factors, etc., and it is difficult to provide strong support for quality management decisions, resulting in decisions often based on experience and local information, lacking scientificity and foresight.

[0009] In addition, construction quality management involves multiple participants and multiple management links, such as design units, construction units, supervision units, etc., as well as other management areas such as progress management and cost management. However, the traditional quality management system has poor coordination with these relevant parties and areas, and the information island phenomenon is serious. Data cannot be shared and interacted in a timely manner, which affects the improvement of overall management efficiency and quality.

[0010] To sum up, in order to adapt to the development needs of the modern construction industry and improve the management level of construction quality, there is an urgent need for a construction quality management system, method, equipment and medium based on advanced technology to achieve comprehensive, real-time and accurate management of construction quality and effective decision-making support, so as to improve the overall quality and competitiveness of the construction industry. Summary of the invention

[0011] The present invention proposes a QMS-based construction quality management system, method, device and medium to solve the problems mentioned in the above-mentioned prior art.

[0012] In order to achieve the above object, the present invention adopts the following technical solution: a construction quality management system based on QMS, comprising:

[0013] The project information management module is used to input and store basic information of construction projects, including project name, location, scale, construction period, participating units and personnel. It has information classification and retrieval functions, which allows users to quickly query and manage project information. The integrity of information storage reaches more than 98%;

[0014] The quality standard setting module sets detailed quality standards and acceptance indicators for each link in the construction process according to national construction quality standards and industry specifications, combined with specific project requirements. It supports users to customize some parameters of quality standards to meet the special needs of different projects. The accuracy of quality standard setting reaches more than 95%;

[0015] The construction process monitoring module collects data in the construction process in real time, including construction progress, material usage, construction process parameters, and equipment operation status, by connecting with sensors, monitoring equipment, and mobile terminals of construction workers at the construction site. The data collection frequency is no less than 15 times per hour, ensuring comprehensive real-time monitoring of the construction process, and the accuracy of data transmission reaches more than 90%;

[0016] The quality inspection and evaluation module uses data analysis algorithms and models to inspect and evaluate construction quality based on the collected data and set quality standards. It can automatically identify quality deviations and potential quality problems, with an accuracy rate of no less than 90% for key quality indicators, and generate a quality evaluation report. The report includes quality scores, problem analysis, and improvement suggestions. In the quality evaluation, the following quality score calculation formula is used:

[0017]

[0018] Where Q is the quality score, n is the number of key quality indicators, and w i is the weight of the i-th key quality indicator, which is determined according to the importance of the indicator and its impact on the overall quality, and S i is the score of the i-th key quality indicator, which is determined according to the degree of compliance between the actual test results and the standards, and the value range is 0 to 1. Through this formula, multiple key quality indicators can be comprehensively integrated to quantitatively evaluate the construction quality and more accurately reflect the overall quality level;

[0019] The problem rectification and tracking module classifies and records the detected quality problems, generates rectification tasks and assigns them to relevant responsible persons, tracks the rectification status in real time, records the rectification process and results, ensures that quality problems are solved in a timely and effective manner, and the completion rate of problem rectification reaches more than 90%;

[0020] The data analysis and decision support module conducts in-depth analysis of the quality data in the construction process, explores the potential rules and trends behind the data, and provides data support for quality management decisions. For example, it predicts the development trend of construction quality through data and takes preventive measures in advance. The accuracy of decision support reaches more than 80%. In the quality trend prediction, the following time series prediction formula is used:

[0021] y t+h =a+b1yt +b2y t-1 +…+b p y t-p+1 +∈ t

[0022] where y t+h is the predicted quality index value at time t+h, such as quality score, a is a constant term, b1, b2, ..., b p is the autoregression coefficient, y t ,y t-1 , …, y t-p+1 is the actual quality index value at the past p moments, ∈ t is the error term, and h is the prediction step length. By continuously adjusting the model parameters and using historical quality data to predict future quality trends, a forward-looking basis is provided for decision-making;

[0023] The system interface module provides data interface with the project progress management system and cost management system to realize data sharing and interaction, ensure the coordination between the quality management system and other systems, and the stability of interface data transmission reaches more than 95%.

[0024] Furthermore, the quality inspection and assessment module also has an image recognition function, which can analyze photos and videos of the construction site and identify construction quality defects, such as wall cracks and ground flatness. The accuracy of image recognition is not less than 85%.

[0025] Furthermore, the construction process monitoring module supports remote real-time monitoring, and users can view the real-time situation of the construction site at any location via the Internet, and the remote monitoring screen delay does not exceed 2 seconds.

[0026] Furthermore, the problem rectification and tracking module has an intelligent reminder function. When the rectification task is close to or exceeds the deadline, a reminder message is automatically sent to the relevant responsible person, and the reminder accuracy rate reaches more than 98%.

[0027] Furthermore, the data analysis and decision support module uses data visualization technology to display the analysis results to users in the form of charts and graphs, which is convenient for users to understand and make decisions. The accuracy of visualization reaches more than 95%.

[0028] Furthermore, a construction quality management method based on QMS includes the following steps:

[0029] S1. Project information entry and management: Enter the basic information of the construction project into the system, classify and store it to facilitate subsequent query and management, ensure the integrity and accuracy of the information, and the integrity of the information storage reaches more than 98%;

[0030] S2. Quality standard setting: According to national and industry standards and project specific requirements, quality standards and acceptance indicators are set for each link of the construction process, and partial customization is allowed according to actual conditions. The accuracy of quality standard setting reaches more than 95%;

[0031] S3. Data collection during construction: Data during construction, including progress, materials, processes, and equipment information, shall be collected through sensors, monitoring equipment, and mobile terminals. The frequency of data collection shall be no less than 15 times per hour to ensure the comprehensiveness and real-time nature of the data, and the accuracy of data transmission shall reach more than 90%;

[0032] S4. Quality inspection and evaluation: Based on the collected data and the set quality standards, use data analysis methods to inspect and evaluate the construction quality, identify quality deviations and problems, and generate quality evaluation reports. The inspection accuracy of key quality indicators shall not be less than 90%. In quality inspection, the following pass rate calculation formula is used for material quality inspection:

[0033]

[0034] Where P is the material qualification rate, n 合格 is the number of qualified materials tested, n 总 The total number of tested materials. By regularly calculating the material qualification rate, material quality problems can be discovered in time to ensure construction quality;

[0035] S5. Problem rectification and tracking: Classify and record quality problems, generate rectification tasks and assign responsible persons, track the rectification status in real time, ensure that the problems are resolved, and the completion rate of problem rectification reaches more than 90%;

[0036] S6. Data analysis and decision support: Analyze quality data, explore potential rules and trends, and provide support for quality management decisions. The accuracy of decision support reaches more than 80%;

[0037] S7. System collaboration and data interaction: Share and interact with other building management systems through the system interface to achieve collaborative work, and the stability of interface data transmission reaches more than 95%.

[0038] Furthermore, the quality inspection and evaluation step also includes an image analysis step, in which the construction site photos and videos are analyzed using image recognition technology to detect quality defects, and the accuracy of image recognition is not less than 85%;

[0039] The construction process data collection step also includes a data encryption transmission step, in which the collected data is encrypted before transmission to ensure data security. The security of the encryption algorithm meets industry standards.

[0040] The problem rectification and tracking steps also include a rectification effect evaluation step, which re-evaluates the quality after rectification to verify the rectification effect. The evaluation accuracy reaches more than 90%. In the rectification effect evaluation, the following improvement rate calculation formula is used:

[0041] Where I is the quality improvement rate, Q 前 is the quality score before rectification, according to the above quality score calculation formula, Q 后 The quality score after rectification. By calculating the improvement rate, the effectiveness of rectification measures can be objectively evaluated, providing a reference for subsequent quality management;

[0042] The data analysis and decision support step also includes a prediction analysis step, which predicts the construction quality trend by establishing a prediction model and formulates preventive measures in advance. The prediction accuracy reaches more than 80%.

[0043] Furthermore, a device for implementing a construction quality management system based on QMS comprises:

[0044] Processor, with a main frequency of no less than 2.5GHz and a core number of no less than 6 cores, used to run the quality management system program and process a large amount of quality data to ensure efficient operation and rapid response of the system, with a data processing speed of no less than 500MB / s;

[0045] A memory, connected to the processor, having a storage capacity of not less than 500 GB, using a high-speed hard disk or solid-state hard disk, for storing quality data, system programs and related files of the construction project, with a data reading and writing speed of not less than 300 MB / s to meet the needs of fast storage and reading of data;

[0046] The communication module is used for data communication with the equipment and other systems on the construction site. It supports multiple communication modes such as Ethernet, Wi-Fi, and Bluetooth. The communication rate is not less than 100Mbps, ensuring the stability and reliability of data transmission. It has a data caching function and can cache data for a certain period of time when the network is interrupted. The caching time is not less than 30 minutes.

[0047] Display device, with a screen resolution of no less than 1920×1080, used to display the operation interface and data analysis results of the quality management system, supporting touch operation, with a touch response accuracy of no less than 95%, to facilitate user interactive operations;

[0048] Input devices, including keyboard and mouse, are used by users to input data and operation instructions. The response speed of the device shall not exceed 50ms to ensure the timeliness and smoothness of operation.

[0049] Furthermore, a computer-readable storage medium stores a computer program, which, when executed by a processor, implements a construction quality management method based on QMS.

[0050] Compared with the prior art, the present invention has the following beneficial effects:

[0051] The present invention brings significant improvements in many aspects of construction quality management by integrating advanced technologies and innovative methods.

[0052] Through the project information management module, the basic information of construction projects can be efficiently input, classified and stored, and quickly retrieved. The information storage integrity reaches more than 98%, ensuring the accuracy and completeness of project information, greatly improving information management efficiency, and providing a solid foundation for the smooth progress of the project.

[0053] The quality standard setting module sets detailed and accurate quality standards based on national standards and industry specifications and in combination with project requirements, with an accuracy rate of over 95%. It also supports users to customize some parameters, making quality standards more in line with actual projects and ensuring the controllability and compliance of construction quality.

[0054] The construction process monitoring module collects data in real time, including construction progress and material usage, at a frequency of no less than 15 times per hour. The data transmission accuracy rate is over 90%, and it supports remote real-time monitoring with a screen delay of no more than 2 seconds, thus achieving comprehensive and real-time control of the construction process and facilitating timely detection of problems and the taking of measures.

[0055] The quality inspection and assessment module uses innovative formulas to accurately inspect and assess construction quality. The key quality indicator detection accuracy is no less than 90%. It also has an image recognition function with an image recognition accuracy of no less than 85%. It can effectively identify quality defects and generate detailed assessment reports, providing a clear direction for quality improvement.

[0056] The problem rectification and tracking module ensures that the completion rate of quality problem rectification reaches more than 90%. The intelligent reminder function improves the timeliness of problem handling. The rectification effect evaluation ensures the effectiveness of rectification measures and forms an effective quality control closed loop.

[0057] The data analysis and decision support module uses data visualization technology to intuitively display the analysis results. The decision support accuracy rate is over 80%. By mining the potential patterns and trends in the data, it provides a scientific basis for quality management decisions and helps to take preventive measures in advance.

[0058] To sum up, the present invention comprehensively improves the level of construction quality management, reduces quality risks, improves construction efficiency and project quality, has significant economic and social benefits, and promotes the high-quality development of the construction industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 The present invention provides a schematic block diagram of a construction quality management system based on QMS. DETAILED DESCRIPTION

[0060] 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.

[0061] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise" and "counterclockwise" indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0062] In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined. In addition, the terms "installed", "connected" and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, and it can be the internal connection of two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances. The present invention will be further described in detail below in conjunction with the accompanying drawings.

[0063] Reference Figure 1 :A construction quality management system based on QMS, including:

[0064] The project information management module plays a basic and key role in the construction quality management system. It is committed to efficiently inputting and storing rich and detailed basic information of construction projects. Among them, the project name, as the primary identifier of the project, clearly defines the unique identity of each construction project, which is convenient for accurate distinction and rapid positioning among many projects. The record of the project location not only contains specific geographical location information, such as detailed address, longitude and latitude coordinates, etc., but also involves the geographical environment characteristics of the area, surrounding supporting facilities and other related information, which are of great significance for logistics transportation, resource allocation and coordination with the surrounding environment during the construction process. The project scale covers key indicators such as building area, building height, and number of floors. These data directly reflect the volume and complexity of the project, and provide important reference for construction organization design, resource investment planning, etc. The determination of the construction period clarifies the time range from the start to the completion of the project, including the planned start date, the planned completion date, and the time node arrangement of each key construction stage, which is crucial for the control of project progress and the rational allocation of resources. The management of the information of participating units and personnel is even more meticulous, recording the names, contact information, qualification information, etc. of all units involved in the project construction, including the construction unit, design unit, construction unit, and supervision unit. At the same time, it also records in detail the information of various personnel involved in the project in each unit, such as the name, position, contact information, professional qualifications, etc. of the project manager, technical person in charge, construction personnel, and supervision personnel.

[0065] This module has powerful information classification and retrieval functions. Information classification is divided according to different dimensions of the project, for example, it can be classified according to project type (such as residential buildings, commercial buildings, industrial buildings, etc.), construction stage (foundation engineering, main structure, decoration and renovation, etc.), and category of participating units. Through this classification method, users can quickly classify and organize similar types of project information for comparative analysis and statistics. The retrieval function provides a variety of retrieval methods. Users can search by keywords, such as entering key information such as project name, location, name of participating units, etc., to quickly and accurately locate the target project; they can also search by conditional screening, such as setting conditions such as construction period range and project scale, to filter out a group of project information that meets the conditions. This flexible and diverse retrieval method greatly improves the efficiency of users' query and management of project information, allowing users to quickly obtain the required information from a large amount of project information, providing strong support for project planning, coordination and decision-making. The integrity of information storage reaches more than 98%, which means that almost all important information related to the project can be accurately entered and saved, minimizing information omissions and errors, and ensuring the comprehensiveness and reliability of project information.

[0066] The quality standard setting module is the core module to ensure that the quality of construction meets high standards. It is strictly based on national construction quality standards and industry specifications, which cover all aspects of construction projects, including the safety of building structures, quality requirements of building materials, and specifications of construction technology. For example, in terms of building structure, specific indicators such as strength, stability, and seismic performance of different types of building structures are specified; for building materials, the quality standards of various materials are clarified, such as the grade of cement, the strength of steel, and the compressive strength of bricks; in terms of construction technology, the operation procedures and technical requirements of each link from foundation construction to main structure construction to decoration and renovation are standardized.

[0067] Combined with the special needs of specific projects, this module sets detailed quality standards and acceptance indicators for each link in the construction process. For different types of construction projects, the quality standards will be emphasized and adjusted. For example, for residential buildings, more attention may be paid to the comfort and safety of living, and there will be strict standards in terms of wall flatness, door and window sealing, waterproof performance, etc.; while for commercial buildings, there may be higher requirements for the rationality of spatial layout, the beauty of building appearance, and the perfection of public facilities. At the same time, this module supports users to customize some parameters of quality standards, which fully considers the uniqueness and differences of different projects. For example, in some construction projects under special geological conditions, users can adjust the quality standards of foundation engineering according to actual conditions, such as increasing the requirements for foundation treatment and improving the bearing capacity standards of the foundation; for some buildings with special functional requirements, such as clean operating rooms in hospitals, users can customize special quality standards such as air purification level, temperature and humidity control range, etc. In this way, the quality standards can be more in line with the needs of the actual project, ensuring that every link in the construction process has clear quality goals and acceptance basis. The accuracy rate of setting quality standards reaches over 95%, which means that the set quality standards can accurately reflect the actual needs of the project and the high quality requirements of the industry in the vast majority of cases, providing a reliable benchmark for subsequent quality inspection and evaluation.

[0068] The construction process monitoring module is a key link to achieve comprehensive and real-time control of the construction process. It builds a comprehensive data acquisition network by closely connecting with sensors, monitoring equipment and mobile terminals widely distributed on the construction site. Sensors can monitor various physical quantities and environmental parameters in real time. For example, stress sensors installed on the construction site can monitor the stress of the building structure in real time to ensure the safety of the structure; temperature sensors and humidity sensors can monitor the ambient temperature and humidity of the construction site, which is of great significance for construction links such as concrete maintenance; material sensors can monitor the use of building materials, such as the consumption rate and remaining amount of cement and steel. Monitoring equipment includes cameras, video monitoring systems, etc., which can intuitively obtain images and video information of the construction site, and monitor the construction progress, the operating specifications of construction personnel and the operating status of equipment in real time. The mobile terminals of construction personnel can upload relevant information recorded during the construction process, such as the execution of construction technology, the discovery and handling of on-site problems, etc.

[0069] The module works with a data collection frequency of no less than 15 times / hour, which means that various data of the construction site will be collected once every 4 minutes or so, so that subtle changes and dynamic situations in the construction process can be captured in time. Through this high-frequency data collection, comprehensive real-time monitoring of the construction process can be ensured, whether it is the progress of the construction progress, the progress and quality of the materials used, or the execution of the construction process parameters and the operating status of the equipment, can be recorded in a timely and accurate manner. The accuracy of data transmission reaches more than 90%, which ensures that the collected data can be accurately transmitted to the quality management system for analysis and processing. In order to achieve remote real-time monitoring, the module uses advanced network technology. Users can view the real-time situation of the construction site at any location through the Internet. The delay of the remote monitoring screen does not exceed 2 seconds, which enables managers to supervise and manage the construction process in real time as if they were there even if they are not at the construction site. Problems and hidden dangers in the construction process can be discovered in time, and decisions and adjustments can be made quickly to ensure the smooth progress of the construction process and stable control of construction quality.

[0070] The quality inspection and evaluation module is an important line of defense to ensure the quality of construction. Based on the rich construction data collected and the carefully set quality standards, it uses advanced data analysis algorithms and models to conduct comprehensive and in-depth inspection and evaluation of construction quality. In terms of data analysis algorithms, a variety of statistical analysis methods and data mining techniques are used, such as regression analysis, cluster analysis, and association rule mining. Through regression analysis, a mathematical relationship model between construction quality indicators and influencing factors can be established to predict quality trends and evaluate quality fluctuations; cluster analysis can classify construction sites or projects with similar quality characteristics to facilitate the discovery of potential quality problem concentration areas; association rule mining can find the inherent correlation between different quality indicators and provide clues for the root cause analysis of quality problems.

[0071] In terms of model application, in addition to traditional quality inspection models, machine learning and artificial intelligence technologies are also introduced. For example, a neural network model is used to automatically identify and classify construction quality. Through a large amount of training data, the model learns the data feature patterns under different quality conditions, so that quality deviations and potential quality problems can be accurately identified. The module has an accuracy rate of not less than 90% for key quality indicators, which means that when testing key quality indicators such as building structure strength, concrete compressive strength, and waterproof performance, the probability of accurately judging whether they meet quality standards is more than 90%, providing reliable guarantee for quality control.

[0072] In addition, this module can generate a detailed quality assessment report with rich and comprehensive content. The quality score is a quantitative indicator obtained through scientific calculation methods, which intuitively reflects the overall level of construction quality. The problem analysis section deeply analyzes the detected quality deviations and potential problems, including detailed information such as the type of problem, location, severity, etc., and combines the data analysis results and construction process requirements to conduct an in-depth analysis of the causes of the problem, providing a strong basis for solving the problem. Based on the results of the problem analysis, the improvement suggestions section puts forward specific improvement measures and suggestions, including the adjustment of construction technology, replacement of materials, and standardization of personnel operations, providing the construction team with clear improvement directions and operational guidance, which helps to correct quality problems in a timely manner, improve construction quality, and ensure that the construction project ultimately meets high-quality delivery standards.

[0073] In quality assessment, the following quality score calculation formula is used:

[0074]

[0075] Where Q is the quality score, n is the number of key quality indicators, and w i is the weight of the i-th key quality indicator, which is determined according to the importance of the indicator and its impact on the overall quality, and S i is the score of the i-th key quality indicator, which is determined according to the degree of compliance between the actual test results and the standards, and the value range is 0 to 1. Through this formula, multiple key quality indicators can be comprehensively integrated to quantitatively evaluate the construction quality and more accurately reflect the overall quality level;

[0076] The problem rectification and tracking module classifies and records the detected quality problems, generates rectification tasks and assigns them to relevant responsible persons, tracks the rectification status in real time, records the rectification process and results, ensures that quality problems are solved in a timely and effective manner, and the completion rate of problem rectification reaches more than 90%;

[0077] The data analysis and decision support module conducts in-depth analysis of the quality data in the construction process, explores the potential rules and trends behind the data, and provides data support for quality management decisions. For example, it predicts the development trend of construction quality through data and takes preventive measures in advance. The accuracy of decision support reaches more than 80%. In the quality trend prediction, the following time series prediction formula is used:

[0078] y t+h =a+b1y t +b2y t-1 +…+b p y t-p+1 +∈ t

[0079] where y t+h is the predicted quality index value at time t+h, such as quality score, a is a constant term, b1, b2, ..., b p is the autoregression coefficient, y t ,y t-1 , …, y t-p+1 is the actual quality index value at the past p moments, ∈ t is the error term, and h is the prediction step length. By continuously adjusting the model parameters and using historical quality data to predict future quality trends, a forward-looking basis is provided for decision-making;

[0080] The system interface module provides data interface with the project progress management system and cost management system to realize data sharing and interaction, ensure the coordination between the quality management system and other systems, and the stability of interface data transmission reaches more than 95%.

[0081] In the present invention, the quality inspection and evaluation module also has an image recognition function, which can analyze photos and videos of the construction site and identify construction quality defects, such as wall cracks and ground flatness. The accuracy of image recognition is not less than 85%.

[0082] In the present invention, the construction process monitoring module supports remote real-time monitoring, and users can view the real-time situation of the construction site at any location through the Internet, and the screen delay of the remote monitoring does not exceed 2 seconds.

[0083] In the present invention, the problem rectification and tracking module has an intelligent reminder function. When the rectification task is close to or exceeds the deadline, a reminder message is automatically sent to the relevant responsible person, and the reminder accuracy rate reaches more than 98%.

[0084] In the present invention, the data analysis and decision support module adopts data visualization technology to display the analysis results to users in the form of charts and graphs, which is convenient for users to understand and make decisions. The accuracy of visualization display reaches more than 95%.

[0085] In the present invention, a construction quality management method based on QMS comprises the following steps:

[0086] S1. Project information entry and management: Enter the basic information of the construction project into the system, classify and store it to facilitate subsequent query and management, ensure the integrity and accuracy of the information, and the integrity of the information storage reaches more than 98%;

[0087] S2. Quality standard setting: According to national and industry standards and project specific requirements, quality standards and acceptance indicators are set for each link of the construction process, and partial customization is allowed according to actual conditions. The accuracy of quality standard setting reaches more than 95%;

[0088] S3. Data collection during construction: Data during construction, including progress, materials, processes, and equipment information, shall be collected through sensors, monitoring equipment, and mobile terminals. The frequency of data collection shall be no less than 15 times per hour to ensure the comprehensiveness and real-time nature of the data, and the accuracy of data transmission shall reach more than 90%;

[0089] S4. Quality inspection and evaluation: Based on the collected data and the set quality standards, use data analysis methods to inspect and evaluate the construction quality, identify quality deviations and problems, and generate quality evaluation reports. The inspection accuracy of key quality indicators shall not be less than 90%. In quality inspection, the following pass rate calculation formula is used for material quality inspection:

[0090]

[0091] Where P is the material qualification rate, n 合格 is the number of qualified materials tested, n 总 The total number of tested materials. By regularly calculating the material qualification rate, material quality problems can be discovered in time to ensure construction quality;

[0092] S5. Problem rectification and tracking: Classify and record quality problems, generate rectification tasks and assign responsible persons, track the rectification status in real time, ensure that the problems are resolved, and the completion rate of problem rectification reaches more than 90%;

[0093] S6. Data analysis and decision support: Analyze quality data, explore potential rules and trends, and provide support for quality management decisions. The accuracy of decision support reaches more than 80%;

[0094] S7. System collaboration and data interaction: Share and interact with other building management systems through the system interface to achieve collaborative work, and the stability of interface data transmission reaches more than 95%.

[0095] In the present invention, the quality inspection and evaluation step also includes an image analysis step, using image recognition technology to analyze construction site photos and videos to detect quality defects, and the accuracy of image recognition is not less than 85%;

[0096] The construction process data collection step also includes a data encryption transmission step, in which the collected data is encrypted before transmission to ensure data security. The security of the encryption algorithm meets industry standards.

[0097] The problem rectification and tracking steps also include a rectification effect evaluation step, which re-evaluates the quality after rectification to verify the rectification effect. The evaluation accuracy reaches more than 90%. In the rectification effect evaluation, the following improvement rate calculation formula is used:

[0098] Where I is the quality improvement rate, Q 前 is the quality score before rectification, according to the above quality score calculation formula, Q 后 The quality score after rectification. By calculating the improvement rate, the effectiveness of rectification measures can be objectively evaluated, providing a reference for subsequent quality management;

[0099] The data analysis and decision support step also includes a prediction analysis step, which predicts the construction quality trend by establishing a prediction model and formulates preventive measures in advance. The prediction accuracy reaches more than 80%.

[0100] In the present invention, a device for implementing a construction quality management system based on QMS comprises:

[0101] Processor, with a main frequency of no less than 2.5GHz and a core number of no less than 6 cores, used to run the quality management system program and process a large amount of quality data to ensure efficient operation and rapid response of the system, with a data processing speed of no less than 500MB / s;

[0102] A memory, connected to the processor, having a storage capacity of not less than 500 GB, using a high-speed hard disk or solid-state hard disk, for storing quality data, system programs and related files of the construction project, with a data reading and writing speed of not less than 300 MB / s to meet the needs of fast storage and reading of data;

[0103] The communication module is used for data communication with the equipment and other systems on the construction site. It supports multiple communication modes such as Ethernet, Wi-Fi, and Bluetooth. The communication rate is not less than 100Mbps, ensuring the stability and reliability of data transmission. It has a data caching function and can cache data for a certain period of time when the network is interrupted. The caching time is not less than 30 minutes.

[0104] Display device, with a screen resolution of no less than 1920×1080, used to display the operation interface and data analysis results of the quality management system, supporting touch operation, with a touch response accuracy of no less than 95%, to facilitate user interactive operations;

[0105] Input devices, including keyboard and mouse, are used by users to input data and operation instructions. The response speed of the device shall not exceed 50ms to ensure the timeliness and smoothness of operation.

[0106] In the present invention, a computer-readable storage medium stores a computer program, which implements a construction quality management method based on QMS when executed by a processor.

[0107] The above are only preferred specific implementation modes of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can replace or change the technical solution and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A construction quality management system based on QMS, characterized in that: include: The project information management module is used to input and store basic information of construction projects, including project name, location, scale, construction period, participating units and personnel. It has information classification and retrieval functions, which allows users to quickly query and manage project information. The integrity of information storage reaches more than 98%; The quality standard setting module sets detailed quality standards and acceptance indicators for each link in the construction process according to national construction quality standards and industry specifications, combined with specific project requirements. It supports users to customize some parameters of quality standards to meet the special needs of different projects. The accuracy of quality standard setting reaches more than 95%; The construction process monitoring module collects data in the construction process in real time, including construction progress, material usage, construction process parameters, and equipment operation status, by connecting with sensors, monitoring equipment, and mobile terminals of construction workers at the construction site. The data collection frequency is no less than 15 times per hour, ensuring comprehensive real-time monitoring of the construction process, and the accuracy of data transmission reaches more than 90%; The quality inspection and evaluation module uses data analysis algorithms and models to inspect and evaluate construction quality based on the collected data and set quality standards. It can automatically identify quality deviations and potential quality problems, with an accuracy rate of no less than 90% for key quality indicators, and generate a quality evaluation report that includes quality scores, problem analysis, and improvement suggestions. The problem rectification and tracking module classifies and records the detected quality problems, generates rectification tasks and assigns them to relevant responsible persons, tracks the rectification status in real time, records the rectification process and results, ensures that quality problems are solved in a timely and effective manner, and the completion rate of problem rectification reaches more than 90%; The data analysis and decision support module conducts in-depth analysis of the quality data during the construction process, explores the potential rules and trends behind the data, provides data support for quality management decisions, predicts the development trend of construction quality through data, and takes preventive measures in advance. The accuracy of decision support reaches more than 80%; The system interface module provides data interface with the project progress management system and cost management system to realize data sharing and interaction, ensure the coordination between the quality management system and other systems, and the stability of interface data transmission reaches more than 95%.

2. The construction quality management system based on QMS according to claim 1 is characterized in that: The quality inspection and assessment module also has an image recognition function, which can analyze photos and videos of the construction site and identify construction quality defects such as wall cracks and ground flatness. The accuracy of image recognition is not less than 85%.

3. The construction quality management system based on QMS according to claim 1 is characterized in that: The construction process monitoring module supports remote real-time monitoring. Users can view the real-time situation of the construction site at any location through the Internet. The remote monitoring screen delay does not exceed 2 seconds.

4. The construction quality management system based on QMS according to claim 1 is characterized in that: The problem rectification and tracking module has an intelligent reminder function. When the rectification task is close to or exceeds the deadline, a reminder message is automatically sent to the relevant responsible person, and the reminder accuracy rate reaches more than 98%.

5. The construction quality management system based on QMS according to claim 1 is characterized in that: The data analysis and decision support module adopts data visualization technology to display the analysis results to users in the form of charts and graphs, which is convenient for users to understand and make decisions. The accuracy of visualization display reaches more than 95%.

6. A method for applying the QMS-based construction quality management system according to any one of claims 1 to 5, characterized in that: The following steps are involved: S1. Project information entry and management: Enter the basic information of the construction project into the system, classify and store it to facilitate subsequent query and management, ensure the integrity and accuracy of the information, and the integrity of the information storage reaches more than 98%; S2. Quality standard setting: According to national and industry standards and project specific requirements, quality standards and acceptance indicators are set for each link of the construction process, and partial customization is allowed according to actual conditions. The accuracy of quality standard setting reaches more than 95%; S3. Data collection during construction: Data during construction, including progress, materials, processes, and equipment information, shall be collected through sensors, monitoring equipment, and mobile terminals. The frequency of data collection shall be no less than 15 times per hour to ensure the comprehensiveness and real-time nature of the data, and the accuracy of data transmission shall reach more than 90%; S4. Quality inspection and evaluation: Based on the collected data and set quality standards, use data analysis methods to inspect and evaluate the construction quality, identify quality deviations and problems, generate quality evaluation reports, and the inspection accuracy of key quality indicators shall not be less than 90%; S5. Problem rectification and tracking: Classify and record quality problems, generate rectification tasks and assign responsible persons, track the rectification status in real time, ensure that the problems are resolved, and the completion rate of problem rectification reaches more than 90%; S6. Data analysis and decision support: Analyze quality data, explore potential rules and trends, and provide support for quality management decisions. The accuracy of decision support reaches more than 80%; S7. System collaboration and data interaction: Share and interact with other building management systems through the system interface to achieve collaborative work, and the stability of interface data transmission reaches more than 95%.

7. The construction quality management method based on QMS according to claim 6 is characterized in that: The quality inspection and evaluation step also includes an image analysis step, in which the construction site photos and videos are analyzed using image recognition technology to detect quality defects, and the accuracy of image recognition is not less than 85%; The construction process data collection step also includes a data encryption transmission step, in which the collected data is encrypted before transmission to ensure data security. The security of the encryption algorithm meets industry standards. The problem rectification and tracking steps also include a rectification effect evaluation step, which re-evaluates the quality after rectification to verify the rectification effect, with an evaluation accuracy of more than 90%; The data analysis and decision support step also includes a prediction analysis step, which predicts the construction quality trend by establishing a prediction model and formulates preventive measures in advance. The prediction accuracy reaches more than 80%.

8. A device for implementing the QMS-based construction quality management system according to any one of claims 1 to 5, characterized in that: include: Processor, with a main frequency of no less than 2.5GHz and a core number of no less than 6 cores, used to run the quality management system program and process a large amount of quality data to ensure efficient operation and rapid response of the system, with a data processing speed of no less than 500MB / s; A memory, connected to the processor, having a storage capacity of not less than 500 GB, using a high-speed hard disk or solid-state hard disk, for storing quality data, system programs and related files of the construction project, with a data reading and writing speed of not less than 300 MB / s to meet the needs of fast storage and reading of data; The communication module is used for data communication with the equipment and other systems on the construction site. It supports multiple communication modes such as Ethernet, Wi-Fi, and Bluetooth. The communication rate is not less than 100Mbps, ensuring the stability and reliability of data transmission. It has a data caching function and can cache data for a certain period of time when the network is interrupted. The caching time is not less than 30 minutes. Display device, with a screen resolution of no less than 1920×1080, used to display the operation interface and data analysis results of the quality management system, supporting touch operation, with a touch response accuracy of no less than 95%, to facilitate user interactive operations; Input devices, including keyboard and mouse, are used by users to input data and operation instructions. The response speed of the device shall not exceed 50ms to ensure the timeliness and smoothness of operation.

9. A computer-readable storage medium storing a computer program, which, when executed by a processor, implements the construction quality management method based on QMS as described in any one of claims 6 to 7.

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