Building quality monitoring method

Abstract

The invention discloses a building quality monitoring method, and relates to the technical field of building construction. The method is applied to a building quality monitoring system, the system comprises a plurality of constructor monitoring devices and a building quality monitoring device, the constructor monitoring devices are used for monitoring working behavior data of constructors, and the building quality monitoring device is used for monitoring quality data of a construction building. According to the system, the historical behavior data and the current abnormal behavior data of the constructors and the historical data and the current abnormal data of the building quality are obtained for subsequent analysis. And next, the system calculates and adjusts the monitoring frequency of the personnel and the quality monitoring device, so that the monitoring device can improve the monitoring frequency to perform more frequent monitoring in an area with a longer distance or more problems, and the monitoring frequency is reduced to save resources in an area with a shorter distance or less problems.

Description

Technical Field

[0001] The invention relates to the technical field of building construction, and in particular to a method for monitoring building quality. Background Art

[0002] During the construction process, the work behavior of construction workers and the quality of the construction buildings are crucial to ensuring the quality of the project. Traditional supervision methods mainly rely on manual inspections and subjective evaluations, which are time-consuming and labor-intensive, and it is difficult to achieve efficient and comprehensive monitoring. With the development of big data and Internet of Things technology, by introducing construction worker monitoring devices and building quality monitoring devices, real-time monitoring and data analysis of the construction process can be achieved, improving supervision efficiency and accuracy.

[0003] The current big data-based construction worker behavior and building quality monitoring system has the following major problems: Fixed frequency monitoring: The existing system usually adopts a fixed frequency for monitoring and cannot dynamically adjust the monitoring frequency according to the actual situation, which may cause waste of resources or omission of key information; Single static analysis: The monitoring system mainly relies on historical data for static analysis, which makes it difficult to capture real-time changing trends, thus missing the opportunity for timely intervention; Lack of interactive feedback: The real-time interactive feedback mechanism between the construction worker monitoring device and the building quality monitoring device has not been realized, and the strategy cannot be adjusted in time to deal with sudden abnormal situations. Summary of the invention

[0004] The purpose of the present invention is to provide a method for monitoring building quality to solve the problems raised in the above background technology.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a method for monitoring building quality, applied to a system for monitoring building quality, the system comprising a plurality of construction personnel monitoring devices and a building quality monitoring device, the construction personnel monitoring device is used for monitoring the work behavior data of the construction personnel, the building quality monitoring device is used for monitoring the quality data of the construction building, the construction personnel and the corresponding construction building quality monitoring method comprises:

[0006] Acquire historical behavior data of a first personnel monitoring device, where the first personnel monitoring device is any device among a plurality of personnel monitoring devices;

[0007] Acquire current abnormal behavior data of a second personnel monitoring device, where the second personnel monitoring device is any device that monitors abnormal construction behavior;

[0008] Acquire historical quality data of a first quality monitoring device, where the first quality monitoring device is any device among a plurality of quality monitoring devices;

[0009] Current abnormal quality data of a second quality monitoring device is obtained, where the second quality monitoring device is any device that monitors abnormal building quality.

[0010] As a specific solution of the technical solution of this application, the monitoring distance between the personnel and the quality monitoring device includes:

[0011] Acquire a first monitoring distance between the first personnel monitoring device and the second personnel monitoring device, and a second monitoring distance between the first quality monitoring device and the second quality monitoring device;

[0012] Based on the first monitoring interval and the second monitoring interval, obtaining a first adjustment factor and a second adjustment factor;

[0013] Based on the first adjustment factor and the historical behavior data, obtaining a current monitoring frequency of the first personnel monitoring device;

[0014] Based on the second adjustment factor and the historical quality data, obtaining a current monitoring frequency of the second quality monitoring device;

[0015] Based on the current monitoring frequency of the first personnel monitoring device and the current monitoring frequency of the first quality monitoring device, the monitoring frequencies of the corresponding monitoring devices are adjusted respectively.

[0016] As a specific solution of the technical solution of the present application, the method for obtaining the adjustment factor based on the monitoring interval includes:

[0017] Obtain the total monitoring distance of all personnel monitoring devices and quality monitoring devices;

[0018] Based on the total monitoring interval, the first monitoring interval, and the second monitoring interval, respectively calculate a first adjustment factor and a second adjustment factor;

[0019] Based on the first adjustment factor and the second adjustment factor, in combination with a preset adjustment factor data table, a first adjustment factor and a second adjustment factor are acquired.

[0020] As a specific solution of the technical solution of this application, the processing based on abnormal behavior data and quality data includes:

[0021] Classify the current abnormal behavior data and the current abnormal quality data to obtain the abnormal type;

[0022] According to the abnormality type, the corresponding third adjustment factor and fourth adjustment factor are obtained from a preset adjustment factor data table;

[0023] The monitoring frequency is further adjusted by combining the first adjustment factor and the second adjustment factor, as well as the third adjustment factor and the fourth adjustment factor.

[0024] As a specific solution of the technical solution of this application, the confidence assessment method based on abnormal behavior data and current abnormal quality data includes:

[0025] Obtain the historical time series data corresponding to the current abnormal behavior data and the current abnormal quality data;

[0026] Project the historical time series data into a two-dimensional coordinate system, obtain the coordinate points, calculate the slope average or perform exponential fitting, and obtain the degree of fit;

[0027] Assess confidence in the data based on the slope mean or goodness of fit;

[0028] If the confidence level is lower than the preset value, the adjustment factor is adjusted.

[0029] As a specific solution of the technical solution of the present application, the real-time monitoring and feedback method based on the first personnel monitoring device and the first quality monitoring device includes:

[0030] Acquire current monitoring data of the first personnel monitoring device and the first quality monitoring device in real time;

[0031] Based on the current monitoring data, the current work performance of the personnel and the current quality score of the building are calculated respectively;

[0032] Based on the current work performance and the current quality score, a third adjustment factor and a fourth adjustment factor are obtained;

[0033] Adjust the monitoring frequency again and issue warnings or notifications as needed.

[0034] A building quality monitoring system includes a plurality of construction personnel monitoring devices and a building quality monitoring device, each of which is used to monitor the work behavior data of the construction personnel, and each of which is used to monitor the quality data of the construction building. The system also includes a data processing center, and the data processing center includes:

[0035] A data reader for acquiring historical data and current abnormal data of a construction personnel monitoring device and a building quality monitoring device;

[0036] a processor, configured to calculate a first adjustment factor and a second adjustment factor, and to calculate a current monitoring frequency based on the adjustment factors and historical data;

[0037] The controller is used to adjust the monitoring frequency of the construction personnel monitoring device and the building quality monitoring device according to the current monitoring frequency.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] In the method for monitoring building quality, the system obtains the historical behavior data and current abnormal behavior data of construction personnel, as well as the historical data and current abnormal data of building quality, for subsequent analysis. Next, the system calculates and adjusts the monitoring frequency of personnel and quality monitoring devices, so that in areas with longer distances or more problems, the monitoring device will increase the monitoring frequency for more frequent monitoring, while in areas with shorter distances or fewer problems, the monitoring frequency will be reduced to save resources.

[0040] At the same time, the system will classify the current abnormal data, determine the corresponding adjustment factors based on the preset adjustment factor data table, and further optimize the monitoring frequency. In addition, the system adjusts the monitoring strategy by evaluating the confidence of historical time series data to ensure the reliability of the monitoring data. The data processing center calculates the work performance of the personnel and the quality score of the building based on the current monitoring data, and adjusts the monitoring frequency again based on these scores. At the same time, it issues warnings or notifications when necessary to ensure that the quality and safety of the construction process are effectively guaranteed. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a schematic diagram of the system of the present invention;

[0042] Figure 2 A schematic diagram of a flow chart of obtaining an adjustment factor according to the present invention;

[0043] Figure 3 It is a schematic diagram of the data confidence assessment process of the present invention. DETAILED DESCRIPTION

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

[0045] like Figure 1-Figure 3 As shown, the present invention provides a technical solution: a method for monitoring building quality, applied to a monitoring system for building quality, the system comprising a plurality of construction personnel monitoring devices and a building quality monitoring device, the construction personnel monitoring device is used for monitoring the work behavior data of the construction personnel, the building quality monitoring device is used for monitoring the quality data of the construction building, the construction personnel and the corresponding monitoring method for the construction building quality comprises:

[0046] Obtain the historical behavior data of the first personnel monitoring device, the first personnel monitoring device is any device among the multiple personnel monitoring devices; it should be clear that any personnel monitoring device is selected to obtain the behavior data of all construction personnel recorded in the past period of time, and the time period can be selected as the past month or three months as the time period, and these data include but are not limited to the operation records of the construction personnel, the construction time and the construction location and other information. It should be clear that in this embodiment, the monitoring device can be a camera monitoring system that can capture and record the video data of personnel activities in real time, or a wireless sensor network composed of multiple sensor nodes to collect various data generated by personnel activities, such as: moving speed, position change, etc. A face recognition access control system can also be used. Through face recognition technology, the access control system can record the entry and exit time and identity information of personnel, or smart watches and bracelets can be worn on the wrists of personnel to monitor their movement status, and upload the data of the bracelet or watch to the cloud or local server through Bluetooth or wifi, etc., for data storage and analysis. In this application, data access is performed by connecting to the device itself or through a centralized management platform containing all monitoring device information, which can be achieved through a network interface or a dedicated application. Obtain the current abnormal behavior data of the second personnel monitoring device, the second personnel monitoring device is any device that monitors abnormal construction behavior; it should be clear that any personnel monitoring device that monitors abnormal construction behavior is selected to obtain the abnormal construction behavior recorded at the current moment or in the most recent time period, and these abnormal behavior data include improper workstations, non-operation according to regulations, etc. It should also be clear that in the data system, the abnormal behavior data recorded by the specified monitoring device can be found through the search or filtering function, and these data include timestamps, specific abnormal behavior descriptions, behavior types, and related parameters. Obtain the historical quality data of the first quality monitoring device, the first quality monitoring device is any device among multiple quality monitoring devices; it should be clear that any quality monitoring device is selected to obtain the quality data of all construction buildings recorded in the past period of time, and these data include but are not limited to the material usage, construction progress, construction process, etc. of the construction building. Obtain the current abnormal quality data of the second quality monitoring device, the second quality monitoring device is any device that monitors abnormal building quality. It should be clear that in this application, any device that monitors abnormal building quality is selected to obtain the abnormal building quality data recorded at the current moment or in the most recent time period. The time period can be the past month or three months, or a time period on a certain day. These abnormal qualities may be reflected in quality problems during the construction process, substandard building quality after construction is completed, etc.It should also be made clear that in the present application, the construction personnel monitoring device is used to obtain and collect the work behavior data of the construction personnel, such as the safety helmets worn, the types of tools used, working hours, location information, etc., and the building quality monitoring device is used to monitor the quality data of the construction building, including but not limited to the quality inspection data of building materials, various safety indicators in the construction process, and structural safety inspection data after the construction is completed.

[0047] In the embodiment of the present application, in order to obtain the first monitoring distance between the first personnel monitoring device and the second personnel monitoring device, the distance between the first personnel monitoring device (smart bracelet) and the second monitoring device in a certain construction area is 30 meters. In the present application, the distance is determined based on the area of ​​the construction area, the density of personnel distribution and the coverage of the monitoring device. In the same construction area, the distance between the first quality monitoring device (such as a concrete strength sensor) and the second quality monitoring device is 50 meters. This distance is determined based on the scale of the construction building, the structural characteristics and the accuracy requirements of quality monitoring. Based on the first monitoring distance of 30 meters and the characteristics of the construction personnel activities, the first adjustment factor can be calculated to be 1.2, which reflects the degree of influence of the construction personnel activities on the monitoring frequency. Then, based on the second monitoring distance of 50 meters and construction requirements, such as concrete strength, structural stability, etc., the second adjustment factor can be calculated to be 1.5, which reflects the degree of influence of the construction quality requirements on the monitoring frequency. In an embodiment of the present application, based on the first adjustment factor 1.2 and historical behavior data, such as the activity trajectory and working hours of the construction workers, the current monitoring frequency of the first personnel monitoring device can be calculated to be once per minute. This frequency can ensure real-time and effective monitoring of the activities of the construction workers. Then, based on the second adjustment factor 1.5 and historical quality data, such as concrete strength and steel bar distribution, the second quality monitoring device can be calculated and the current monitoring frequency is once per hour. This frequency can ensure regular and effective monitoring of the quality of the construction building.

[0048] In the present application, in order to obtain the total monitoring distance of the personnel monitoring device and the quality monitoring device, specifically, based on the total monitoring distance, the first monitoring distance and the second monitoring distance, the first adjustment factor and the second adjustment factor are calculated respectively; based on the first adjustment factor and the second adjustment factor, combined with the preset adjustment factor data table, the first adjustment factor and the second adjustment factor are obtained.

[0049] Preset Adjustment Factor Data Table

[0050] Monitoring distance range (meters) Adjustment Factor ≤200 1.0 201-300 1.1 301-400 1.2 401-500 1.3 501-600 1.4 >600 1.5

[0051] In the embodiment of the present application, it is assumed that the average monitoring spacing between personnel monitoring devices is 500 meters. According to the preset adjustment factor data table, this spacing is between 301 meters and 600 meters. The first adjustment factor is calculated using linear interpolation: (500-300) / (600-300)*(1.3-1.1)+1.1=1.2. The average monitoring spacing between quality monitoring devices is 600 meters. According to the preset adjustment factor data table, this spacing is also between 301 meters and 600 meters. Since it is exactly 600 meters, the upper limit value of 1.3 can be directly taken according to the data table. Therefore, the first adjustment factor (between personnel monitoring devices) is 1.2, and the second adjustment factor (between quality monitoring devices) is 1.3.

[0052] In order to identify and distinguish different types of abnormal behaviors and quality issues so that targeted treatment measures can be taken later, classification can be based on factors such as the nature of the abnormality, frequency of occurrence, and degree of impact. Specifically, the current abnormal behavior data and the current abnormal quality data are classified to obtain the abnormal type; according to the abnormal type, the corresponding third adjustment factor and fourth adjustment factor are obtained from the preset adjustment factor data table; the monitoring frequency is further adjusted by combining the first adjustment factor and the second adjustment factor, as well as the third adjustment factor and the fourth adjustment factor. The confidence assessment method based on abnormal behavior data and current abnormal quality data includes: obtaining historical time series data corresponding to the current abnormal behavior data and the current abnormal quality data; projecting the historical time series data into a two-dimensional coordinate system, obtaining coordinate points, calculating the slope average or performing exponential fitting, and obtaining the degree of fit; based on the slope average or the degree of fit, evaluating the confidence of the data; if the confidence is lower than the preset value, adjusting the adjustment factor. The adjustment factor data table is represented by the following table:

[0053] Exception Type The third adjustment factor Fourth adjustment factor Remark Equipment failure 1.5 1.2 Adjust according to the severity of the fault Operational Errors 1.2 1.0 Adjust according to the construction personnel's experience Material defects 1.0 1.3 Adjust according to defect type and frequency Insufficient processing accuracy 1.3 1.1 Adjust according to process requirements and equipment status ..... ..... ..... .......

[0054] The preset adjustment factor data table is a database containing unusual types and their corresponding adjustment factors. The third adjustment factor and the fourth adjustment factor are derived from historical data, expert experience or machine learning methods, and are key parameters for adjusting the monitoring frequency or processing strategy. By matching the abnormal type with the adjustment factor data table, a specific adjustment factor for the current abnormal type can be obtained. In this application, it is also necessary to clarify that the first adjustment factor and the second adjustment factor may also be preset adjustment parameters based on other factors, such as equipment status, production environment, etc. Then the historical time series data is plotted in a two-dimensional coordinate system, with time as the horizontal axis and the abnormal value (such as the number of abnormal behaviors, abnormal quality level, etc.) as the vertical axis. By calculating the slope average or performing exponential fitting, the change trend and stability of the abnormal value over time can be evaluated. If the slope average value is larger or the fitting degree is higher, it means that the change trend of the abnormal value over time is obvious and stable, and the confidence of the data is higher. On the contrary, if the slope average value is smaller or the fitting degree is lower, it means that the change trend of the abnormal value is not obvious or unstable, and the confidence of the data is lower. If the evaluation result shows that the confidence of the data is lower than the preset value, it means that the current monitoring frequency or processing strategy cannot effectively reflect the current abnormal behavior and quality problems.

[0055] In order to obtain real-time feedback and monitoring, in the embodiment of the present application, the current monitoring data of the first personnel monitoring device and the first quality monitoring device are obtained in real time; it should be clear that the current monitoring data includes the work status, work efficiency, various quality indicators of the building (such as structural integrity, material quality, etc.) and other related parameters of the personnel, and the current work performance of the personnel and the current quality score of the building are calculated respectively according to the current monitoring data; it should also be clear that the score is based on a comprehensive evaluation of multiple quality indicators, such as structural safety, material durability, construction quality, etc. Based on the current work performance and the current quality score, the third adjustment factor and the fourth adjustment factor are obtained; the monitoring frequency is adjusted again, and an early warning or notification is issued as needed. In the present application, based on the current work efficiency, a factor for adjusting the monitoring frequency or early warning threshold is determined. If the work performance is high, the monitoring frequency can be appropriately reduced. On the contrary, if the work performance is low, the monitoring frequency needs to be increased. Based on the current quality score, another adjustment factor is determined. When the quality score is high, the attention and monitoring frequency of quality problems can be reduced. When the quality score is low, it is necessary to strengthen the monitoring and early warning of quality problems. In an embodiment of the present application, a baseline or threshold is set based on historical data to distinguish between high performance and low performance. The baseline can be an average, a median, a specific percentile (such as the 75% or 90% percentile), etc. Once the baseline is determined, the warning threshold factor can be calculated based on the comparison result of the current work performance with the baseline. The factor can be a proportional coefficient, an incremental value, or other form of adjustment, which is used to adjust the monitoring frequency or the warning threshold.

[0056] A building quality monitoring system includes a plurality of construction personnel monitoring devices and a building quality monitoring device, each of which is used to monitor the work behavior data of the construction personnel, and each of which is used to monitor the quality data of the construction building. The system also includes a data processing center, and the data processing center includes:

[0057] The data reader is used to obtain the historical data and current abnormal data of the construction personnel monitoring device and the building quality monitoring device; in the embodiment of the present application, it is responsible for collecting and storing the historical data and the current abnormal data from the construction personnel monitoring device and the building quality monitoring device in real time, and the data includes the work behavior of the construction personnel and the quality indicators of the construction building. It should also be clear that the historical data is usually used to establish a benchmark model, analyze trends and predict future situations, while the current abnormal data is used for instant feedback, problem tracking and early warning. The processor is used to calculate the first adjustment factor and the second adjustment factor, and calculate the current monitoring frequency based on the adjustment factor and the historical data; it should be clear that the first adjustment factor is mainly based on the work behavior data of the construction personnel, reflecting the work status and efficiency of the construction personnel. If the work performance is high, the first adjustment factor may prompt the monitoring frequency to be moderately reduced, otherwise, it will be increased. The second adjustment factor focuses on the building instance data, reflecting the current quality status of the construction building. If the quality is stable and excellent, the second adjustment factor may promote the monitoring frequency to be lowered, and if the quality fluctuates or declines, it will be increased. The controller is used to adjust the monitoring frequency of the construction personnel monitoring device and the building quality monitoring device according to the current monitoring frequency. In this application, it needs to be clear that when the construction workers' performance is stable and the building quality is reliable, the controller can reduce the monitoring frequency to save resources. Once the construction workers' behavior is abnormal or the building quality declines, the controller will immediately increase the monitoring frequency to ensure that the problem is discovered and handled in a timely manner.

[0058] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is limited by the attached embodiments and their equivalents.

Claims

1. A method for monitoring building quality, applied to a building quality monitoring system, the system comprising a plurality of construction personnel monitoring devices and a building quality monitoring device, the construction personnel monitoring device is used for monitoring the work behavior data of the construction personnel, and the building quality monitoring device is used for monitoring the quality data of the construction building, characterized in that: The monitoring method of the construction personnel and the corresponding construction building quality includes: Acquire historical behavior data of a first personnel monitoring device, where the first personnel monitoring device is any device among a plurality of personnel monitoring devices; Acquire current abnormal behavior data of a second personnel monitoring device, where the second personnel monitoring device is any device that monitors abnormal construction behavior; Acquire historical quality data of a first quality monitoring device, where the first quality monitoring device is any device among a plurality of quality monitoring devices; Current abnormal quality data of a second quality monitoring device is obtained, where the second quality monitoring device is any device that monitors abnormal building quality.

2. A method for monitoring building quality according to claim 1, characterized in that: The monitoring distance between personnel and quality monitoring devices includes: Acquire a first monitoring distance between the first personnel monitoring device and the second personnel monitoring device, and a second monitoring distance between the first quality monitoring device and the second quality monitoring device; Based on the first monitoring interval and the second monitoring interval, obtaining a first adjustment factor and a second adjustment factor; Based on the first adjustment factor and the historical behavior data, obtaining a current monitoring frequency of the first personnel monitoring device; Based on the second adjustment factor and the historical quality data, obtaining a current monitoring frequency of the second quality monitoring device; Based on the current monitoring frequency of the first personnel monitoring device and the current monitoring frequency of the first quality monitoring device, the monitoring frequencies of the corresponding monitoring devices are adjusted respectively.

3. A method for monitoring building quality according to claim 1, characterized in that: The method for obtaining the adjustment factor based on the monitoring interval includes: Obtain the total monitoring distance of all personnel monitoring devices and quality monitoring devices; Based on the total monitoring interval, the first monitoring interval, and the second monitoring interval, respectively calculate a first adjustment factor and a second adjustment factor; Based on the first adjustment factor and the second adjustment factor, in combination with a preset adjustment factor data table, a first adjustment factor and a second adjustment factor are acquired.

4. A method for monitoring building quality according to claim 1, characterized in that: The processing based on abnormal behavior data and quality data includes: Classify the current abnormal behavior data and the current abnormal quality data to obtain the abnormal type; According to the abnormality type, the corresponding third adjustment factor and fourth adjustment factor are obtained from a preset adjustment factor data table; The monitoring frequency is further adjusted by combining the first adjustment factor and the second adjustment factor, as well as the third adjustment factor and the fourth adjustment factor.

5. A method for monitoring building quality according to claim 1, characterized in that: The confidence assessment method based on abnormal behavior data and current abnormal quality data includes: Obtain the historical time series data corresponding to the current abnormal behavior data and the current abnormal quality data; Project the historical time series data into a two-dimensional coordinate system, obtain the coordinate points, calculate the slope average or perform exponential fitting, and obtain the degree of fit; Assess confidence in the data based on the slope mean or goodness of fit; If the confidence level is lower than the preset value, the adjustment factor is adjusted.

6. A method for monitoring building quality according to claim 1, characterized in that: The real-time monitoring and feedback method based on the first personnel monitoring device and the first quality monitoring device includes: Acquire current monitoring data of the first personnel monitoring device and the first quality monitoring device in real time; Based on the current monitoring data, the current work performance of the personnel and the current quality score of the building are calculated respectively; Based on the current work performance and the current quality score, a third adjustment factor and a fourth adjustment factor are obtained; Adjust the monitoring frequency again and issue warnings or notifications as needed.

7. A building quality monitoring system, comprising a plurality of construction personnel monitoring devices and a building quality monitoring device, each construction personnel monitoring device is used to monitor the work behavior data of the construction personnel, and each building quality monitoring device is used to monitor the quality data of the construction building, and the system also includes a data processing center, characterized in that: The data processing center includes: A data reader for acquiring historical data and current abnormal data of a construction personnel monitoring device and a building quality monitoring device; a processor, configured to calculate a first adjustment factor and a second adjustment factor, and to calculate a current monitoring frequency based on the adjustment factors and historical data; The controller is used to adjust the monitoring frequency of the construction personnel monitoring device and the building quality monitoring device according to the current monitoring frequency.

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