Engineering project optimization management system based on Internet of Things and cloud computing

Abstract

The invention relates to the technical field of engineering project optimization management, and particularly discloses an engineering project optimization management system based on the Internet of Things and cloud computing. The system comprises a wall basic information acquisition module, a bricklaying construction process quality evaluation module, a bricklaying construction process information acquisition module, a bricklaying construction process optimization module, a database, a concrete construction process quality evaluation module and a concrete construction process optimization module. According to the method, whether the bricklaying construction process quality has problems or not is comprehensively analyzed by combining the vertical condition and the leveling condition of the wall body, quality disqualification reasons are confirmed and targeted optimization is performed by combining various aspects in the construction process, and meanwhile, whether the concrete construction process quality is qualified or not is evaluated and the concrete construction process is optimized; the method improves the comprehensiveness and accuracy of construction process quality evaluation, formulates and implements targeted improvement measures according to the causes of various possible quality problems, and guarantees the promotion of the whole project.

Description

Technical Field

[0001] The present invention relates to the technical field of engineering project optimization management. Specifically, it relates to an engineering project optimization management system based on the Internet of Things and cloud computing. Background Art

[0002] In construction engineering projects, the quality of bricklaying construction technology and concrete construction technology directly affects the structural safety, stability, and appearance quality of the entire building. Traditional construction management methods mainly rely on on-site manual supervision and experience judgment, making it difficult to comprehensively and accurately grasp all key information during the construction process in real time. As a result, construction quality problems are difficult to detect and solve in a timely manner, and there is a lack of effective data support for optimizing construction technology. With the rapid development of the Internet of Things technology and cloud computing technology, it is an urgent practical need to introduce them into the field of construction engineering construction management to achieve refined and intelligent management of construction technology and improve project quality and efficiency.

[0003] For example, the patent with the Chinese patent publication number CN117853076A discloses a wall construction management method and system based on BIM, including: Step S1, building a BIM three-dimensional model of the wall in the BIM platform according to the two-dimensional drawing of the wall; Step S2, the test module conducts a structural test on the wall; Step S3, the acquisition module converts the data collected in the wall structure test into stress values through a preset stress calculation formula; Step S4, the analysis module determines the structural strength of the wall, and, in the case of determining that the structural strength of the wall is unqualified, determines the stress standard of the monitoring points or conducts a rating based on the load-bearing duration of the monitoring points; Step S5, the analysis module determines the standards for data collection and screening, construction methods, or adjustment methods of the wall structure based on the proportion of the number of monitoring points in each grade and sends corresponding instructions to the adjustment module; Step S6, the adjustment module makes adjustments according to the instructions; Step S7, after the adjustment is completed, the structural test is carried out again.

[0004] There are also the following problems in the prior art: 1. It does not conduct a detailed analysis of the mortar joint thickness in the horizontal and vertical directions between bricks, thus accurately judging the reasons for the unqualified quality of bricklaying construction technology, making it difficult to accurately identify the root cause of the poor quality of bricklaying technology, reducing the comprehensiveness and accuracy of the quality assessment of bricklaying construction technology, and unable to provide effective data support for subsequent quality optimization.

[0005] 2. The prior art determines the structural strength of the wall based on the stress of the monitoring points, without considering the influence of the honeycomb-like defects on the concrete surface on the structural strength, thus reducing the quality of the concrete construction technology of the engineering project and affecting the quality guarantee of the concrete construction technology. Summary of the Invention

[0006] In view of this, in order to solve the problems raised in the above-mentioned background technology, an optimized management system for engineering projects based on the Internet of Things and cloud computing is proposed.

[0007] The object of the present invention can be achieved by the following technical solutions: An optimized management system for engineering projects based on the Internet of Things and cloud computing, including: a wall basic information acquisition module, which is used to collect the horizontal offset distance and corresponding elevation value of each height point on the surface of each wall in each project area from the plumb line through an elevation sensor.

[0008] A bricklaying construction process quality evaluation module, which is used to evaluate whether the quality of the bricklaying construction process in each project area is qualified according to the horizontal offset distance and elevation value of each height point from the plumb line.

[0009] A bricklaying construction process information acquisition module, which is used to sample the mortar joint thickness in the horizontal and vertical directions at a preset density in the project area where the quality of the bricklaying construction process is unqualified, and extract the actual size of each brick and compare it with the standard brick size to obtain the brick size qualification degree.

[0010] A bricklaying construction process optimization module, which is used to confirm the reasons for the unqualified quality of the bricklaying construction process according to the mortar joint thickness and the brick size qualification degree, and generate an optimization instruction.

[0011] A concrete construction process quality evaluation module, which is used to count the number and area of honeycomb-like defects on the surface of each concrete in the project area where the quality of the bricklaying construction process is qualified through image recognition technology, and determine whether the quality of the concrete process is qualified according to the set permission threshold.

[0012] A concrete construction process optimization module, which is used to perform optimization processing on the project area where the quality of the concrete process is unqualified based on the surface honeycomb-like defects.

[0013] Compared with the prior art, the embodiments of the present invention at least have the following advantages or beneficial effects: (1) By combining the vertical and flatness conditions of the wall, the present invention comprehensively analyzes whether there are problems with the quality of the bricklaying construction process, intuitively displays the quality situation of the bricklaying construction process, improves the comprehensiveness and accuracy of the bricklaying construction process quality evaluation, and provides an effective data support basis for subsequent quality optimization.

[0014] (2) When there are problems with the quality of the bricklaying construction process of an engineering project, the present invention combines various aspects in the construction process to confirm the reasons for the unqualified quality of the bricklaying construction process, and at the same time, according to each reason for the unqualified quality, targeted optimization is carried out, which can accurately identify the root cause of the poor quality of the bricklaying process, and formulate and implement targeted improvement measures based on the possible causes of various quality problems, thereby avoiding frequent quality problems in the bricklaying construction process and ensuring the overall progress of the project.

[0015] (3) By collecting the number of honeycomb defects on the concrete construction surface and the area of each honeycomb defect, the present invention evaluates whether the quality of the concrete construction process is qualified, optimizes the concrete construction process, improves the quality of the concrete construction process of the engineering project, and ensures the quality of the concrete construction process. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for describing the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0017] Figure 1 It is a schematic connection diagram of the system module structure of the present invention.

[0018] Figure 2 It is a flowchart for judging whether the quality of the bricklaying construction process of the present invention is qualified.

[0019] Figure 3 It is a flowchart for judging whether the quality of the concrete construction process of the present invention is qualified. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0021] Please refer to Figure 1 As shown, the present invention provides an optimized management system for engineering projects based on the Internet of Things and cloud computing, including: a wall basic information collection module, a bricklaying construction process quality evaluation module, a bricklaying construction process information collection module, a bricklaying construction process optimization module, a database, a concrete construction process quality evaluation module, and a concrete construction process optimization module.

[0022] The wall basic information collection module is connected to the bricklaying construction process quality evaluation module. Both the bricklaying construction process information collection module and the concrete construction process quality evaluation module are connected to the bricklaying construction process quality evaluation module. The bricklaying construction process information collection module is connected to the bricklaying construction process optimization module. The concrete construction process quality evaluation module is connected to the concrete construction process optimization module. The bricklaying construction process optimization module is connected to the database.

[0023] The wall basic information acquisition module is used to collect the horizontal offset distance and corresponding elevation value of each height point on the surface of each wall in each project area from the plumb line through an elevation sensor.

[0024] It should be noted that the horizontal offset distance of each height point on the surface of each wall in each project area from the plumb line is obtained by detecting the perpendicularity of the wall. The method for detecting the perpendicularity of the wall is as follows: firmly fix the suspension point of the plumb bob at the edge position of the wall top (such as at the corner or the center line of the wall), let the plumb bob hang naturally, and after it stops, use a steel straightedge to measure the distance between the line of the plumb bob and the wall surface at the bottom of the wall. To ensure the measurement accuracy, multiple measurements are carried out at different heights of the wall.

[0025] It should also be noted that the elevation value of each height point on the surface of each wall in each project area is obtained by detecting the flatness of the wall. The method for detecting the flatness of the wall is as follows: first, set a reference elevation point near the wall, place the level at a suitable position and level it, use a leveling staff to measure the elevation at different height points on the wall respectively, and record the elevation values of different height points.

[0026] The bricklaying construction process quality assessment module is used to assess whether the bricklaying construction process quality of each project area is qualified according to the horizontal offset distance and elevation value of each height point from the plumb line.

[0027] In a specific embodiment of the present invention, the specific process for assessing whether the bricklaying construction process quality corresponding to each project area is qualified is as follows: based on the horizontal offset distance of each height point on the surface of each wall in each project area from the plumb line, obtain the wall perpendicularity of each project area , where represents the number of the project area, .

[0028] The specific process for the wall perpendicularity of each project area is as follows: perform a difference analysis on the horizontal offset distance of each height point on the surface of each wall in each project area from the plumb line and the standard horizontal distance between the surface of the wall in the vertical state and the plumb line extracted from the database, and perform a perpendicularity determination on the obtained difference and the set allowable distance deviation to obtain the wall perpendicularity of each project area.

[0029] In a specific embodiment of the present invention, calculate the wall perpendicularity of each project area , , where represents the number of walls, represents the number of height points, represents the set allowable distance deviation between the wall surface and the line of the plumb bob, is the horizontal offset distance of each height point on the surface of each wall in each project area from the plumb line, Indicates the number of the wall, , Indicates the number of the height points, , Is the total number of walls, Is the number of height points, Is the standard horizontal distance between the vertical lower surface of the wall and the plumb line.

[0030] Perform elevation deviation analysis on the elevation values of each height point on each wall surface in each project area and its adjacent height points to obtain the wall flatness of each project area.

[0031] In a specific embodiment of the present invention, the specific process of calculating the wall flatness of each project area is as follows: perform dynamic difference analysis on the elevation values of each height point on each wall surface in each project area and its adjacent height points to obtain the absolute elevation difference between each height point and its adjacent height point, and obtain the absolute elevation difference of each wall surface in each project area through mean processing, and use the relative deviation value of its elevation deviation from the set reference as the flatness of each wall in each project area.

[0032] Screen the number of walls with flatness greater than or equal to the reference flatness, calculate the ratio of the number of walls to the total number of walls, and use the relative deviation value of the number of flat walls from the set reference as the flatness of each wall in each project area.

[0033] Perform weighted mean calculation on the wall verticality and wall flatness of each project area to obtain the bricklaying construction process quality coefficient corresponding to each project area.

[0034] In a specific embodiment of the present invention, the weight setting value of the wall verticality is 0.6, and the weight setting value of the wall flatness is 0.4. The wall verticality has a more critical impact on the structural safety. For subsequent decoration projects, the wall flatness is particularly important. For some buildings with extremely high requirements for structural safety, the wall verticality may be even more important.

[0035] Please refer to Figure 2 As shown, compare the bricklaying construction process quality coefficient corresponding to each project area with the set reference bricklaying construction process quality coefficient. If the bricklaying construction process quality coefficient corresponding to a certain project area is greater than or equal to the set reference bricklaying construction process quality coefficient, it indicates that the bricklaying construction process quality corresponding to this project area is qualified; otherwise, it indicates that the bricklaying construction process quality corresponding to this project area is unqualified.

[0036] In the embodiments of the present invention, by comprehensively analyzing the vertical and flatness conditions of the wall to determine whether there are problems with the bricklaying construction process quality, the quality of the bricklaying construction process is intuitively displayed, improving the comprehensiveness and accuracy of the bricklaying construction process quality assessment and providing an effective data support basis for subsequent quality optimization.

[0037] A bricklaying construction process information collection module is used to sample the mortar joint thickness in the horizontal and vertical directions at a preset density in the area of unqualified items of the bricklaying construction process quality, and extract the actual dimensions of each brick and compare them with the standard brick dimensions to obtain the brick size qualification degree.

[0038] It should be noted that the collection method of the mortar joint thickness at each sampling point in the horizontal and vertical directions is as follows: 1) Image collection: Use a high-resolution digital camera to collect images of each wall; 2) Image preprocessing: For color images, they can be converted into grayscale images. The purpose of this is to simplify the image information and highlight the gray-scale difference between the mortar joint and the brick, facilitating subsequent edge detection and analysis; 3) Mortar joint edge detection and extraction: According to the gray-scale difference between the mortar joint and the brick, set a suitable threshold, and the part where the pixel gray-scale value is lower or higher than the threshold is determined as the mortar joint edge; 4) Thickness measurement and comparison: Through the extracted mortar joint edge, evenly distribute each sampling point in the horizontal and vertical directions of the mortar joint edge, and identify the thickness of the mortar joint at each sampling point in the horizontal and vertical directions.

[0039] It should also be noted that the length, width, and height in the actual dimensions of each brick are directly extracted from the brick images when the bricks enter the factory.

[0040] The specific process of calculating the brick size qualification degree is as follows: Dynamically calculate the difference between the length, width, and height in the actual dimensions of each brick and the standard length, standard width, and standard height in the standard brick dimensions provided by the brick supplier in the database, and perform normalized fusion calculation on each dynamic difference to obtain the brick size qualification degree corresponding to each target project area. In the specific embodiments of the present invention, the formula for calculating the brick size qualification degree corresponding to each target project area is , where in the formula , , and are the length, width, and height in the actual dimensions of each brick in each target project area respectively, , , and are the standard length, standard width, and standard height in the standard brick dimensions provided by the brick supplier respectively, , , and represent the set permitted brick length deviation, brick width deviation, and brick height deviation respectively, Indicates the number of bricks, , Indicates the number of bricks, Indicates the number of the target project area, .

[0041] The bricklaying construction process optimization module is used to confirm the reasons for the unqualified quality of the bricklaying construction process according to the mortar joint thickness and the qualification degree of brick size, and generate optimization instructions.

[0042] The specific process of confirming the reasons for the unqualified quality of the bricklaying construction process is as follows: Mark the unqualified project area of the bricklaying construction process as the target project area, calculate the deviation of the mortar joint thickness at each sampling point in the horizontal and vertical directions of each wall in each target project area, and normalize the deviation calculation result to obtain the mortar joint uniformity of the wall.

[0043] In a specific embodiment, the specific process of calculating the mortar joint uniformity of the wall is as follows: Calculate the absolute value of the deviation of the mortar joint thickness between each sampling point and its adjacent sampling point in the horizontal direction of each wall in each target project area to obtain the absolute value of the mortar joint thickness deviation between each sampling point and its adjacent sampling point. Normalize the average absolute value of the mortar joint thickness deviation after mean processing with the set reference mortar joint thickness deviation of the wall to obtain the mortar joint uniformity of the wall. Among them, the mortar joint uniformity of the wall in the horizontal direction of each target project area , , where, Indicates the th wall in the th target project area at the th sampling point in the horizontal direction, Indicates the set reference mortar joint thickness deviation of the wall, Indicates the number of sampling points, Indicates the number of the sampling point, .

[0044] Calculate the mortar joint uniformity of the wall in the vertical direction of each target project area in the same way as the calculation method of the mortar joint uniformity of the wall in the horizontal direction of each target project area.

[0045] Perform weighted calculation on the mortar joint uniformity of the wall in the horizontal and vertical directions to obtain the mortar joint uniformity corresponding to each target project area.

[0046] In a specific embodiment of the present invention, the set value of the weight for the evenness of wall joints in the horizontal direction is 0.6, and the set value of the weight for the evenness of wall joints in the vertical direction is 0.4. In most building cases, considering that structural stability is the primary factor, a higher weight should be given to the evenness of horizontal joints in the evaluation of the evenness of wall joints.

[0047] Substitute the evenness of wall joints and the qualification of brick sizes into the evaluation model for the reasons of unqualified quality of bricklaying construction technology to output the reasons for unqualified quality of bricklaying construction technology.

[0048] The evaluation model for the reasons of unqualified quality of bricklaying construction technology is as follows: If the calculated and analyzed evenness of wall joints is less than the set reference evenness of wall joints and the calculated and analyzed qualification of brick sizes is greater than or equal to the set reference qualification of brick sizes, then the reason for the unqualified quality of bricklaying construction technology is the problem of the workers' masonry techniques; if the calculated and analyzed evenness of wall joints is greater than or equal to the set reference evenness of wall joints and the calculated and analyzed qualification of brick sizes is less than the set reference qualification of brick sizes, then the reason for the unqualified quality of bricklaying construction technology is the problem of brick quality; if the calculated and analyzed evenness of wall joints is less than the set reference evenness of wall joints and the calculated and analyzed qualification of brick sizes is less than the set reference qualification of brick sizes, then the reason for the unqualified quality of bricklaying construction technology is a comprehensive problem.

[0049] In a specific embodiment of the present invention, the specific process of generating the optimization instruction is as follows: If the reason for the unqualified quality of bricklaying construction technology corresponding to a certain target project area is the problem of the workers' masonry techniques, then professional masonry skills training is provided to the masons in that target project area.

[0050] If the reason for the unqualified quality of bricklaying construction technology corresponding to a certain target project area is the problem of brick quality, strict quality inspection is carried out on the bricks entering that target project area and brick suppliers with good reputation and stable product quality are selected.

[0051] If the reason for the unqualified quality of bricklaying construction technology corresponding to a certain target project area is a comprehensive problem, then professional masonry skills training is provided to the masons in that target project area and strict quality inspection is carried out on the bricks entering the site and brick suppliers with good reputation and stable product quality are selected.

[0052] In the embodiment of the present invention, when there are problems with the quality of bricklaying construction technology in a construction project, by combining various aspects in the construction process to confirm the reasons for unqualified quality of bricklaying construction technology, and at the same time carrying out targeted optimization according to the reasons for each unqualified quality, the root cause of the poor quality of bricklaying technology can be accurately identified, and targeted improvement measures can be formulated and implemented based on the possible causes of various quality problems, thereby avoiding frequent occurrence of quality problems in bricklaying construction technology and ensuring the overall progress of the project.

[0053] The database is used to store the standard distance between the wall surface and the line of the plumb bob when the wall is vertical, and store the standard length, standard width and standard height of the bricks provided by the brick suppliers. The data sources in the database of this embodiment are shown in Table 1.

[0054] Table 1 Data Sources in the Database

[0055]

[0056] The concrete construction process quality evaluation module is used to count the number and area of honeycomb-like defects on each concrete surface in the qualified project area of the bricklaying construction process through image recognition technology, and determine whether the concrete process quality is qualified according to the set permission threshold.

[0057] It should be noted that the acquisition method of the number and area of the honeycomb-like defects on each concrete surface is as follows: 1) Image acquisition: Use a high-resolution digital camera to collect images of each concrete construction surface. 2) Image preprocessing: Convert the collected color image into a grayscale image to simplify the image information, highlight the gray difference between the honeycomb-like defects and the concrete matrix, and facilitate subsequent processing. Use methods such as contrast enhancement and histogram equalization to improve the contrast between the honeycomb-like defects and the surrounding concrete, making the holes more obvious in the image and easy to identify and segment. 3) Recognition and segmentation of honeycomb-like defects: Set a suitable threshold according to the gray difference between the honeycomb-like defects and the concrete background. Through the threshold segmentation algorithm, the pixels in the image are divided into two categories, namely the hole area (gray value lower or higher than the threshold) and the background area, so as to initially extract the contour of the honeycomb-like defects. 4) Area and number calculation: Through image analysis software or programming tools, perform pixel statistics on the segmented honeycomb-like defect areas. Since each pixel corresponds to a certain area of the actual concrete surface (which can be converted through information such as the scale at the time of image acquisition or the known shooting distance), multiply the number of pixels in the hole area by the actual area represented by a single pixel to obtain the total area of the honeycomb-like defects. After completing the segmentation and marking of the honeycomb-like defects, through the counting function in programming or software, count the marked hole areas to obtain the number of honeycomb-like defects.

[0058] In a specific embodiment of the present invention, the specific process of determining whether the concrete process quality is qualified is as follows: Accumulate the number of honeycomb-like defects on each concrete surface in each project area to obtain the total number of honeycomb-like holes appearing on the concrete construction surface in each project area.

[0059] Accumulate the area of the honeycomb-like defects on each concrete surface in each project area to obtain the total area of the honeycomb-like holes appearing on the concrete construction surface in each project area.

[0060] The total number and total area of honeycomb holes are subjected to difference processing and normalization processing analysis with the set permitted number and area of honeycomb holes, and the concrete construction process quality coefficients corresponding to each project area are obtained. The concrete construction process quality coefficients corresponding to each project area are the sum of the relative deviation value between the set permitted number of honeycomb defects and the total number of honeycomb holes appearing on the concrete construction surface in each project area and the relative deviation value between the set permitted number and area of honeycomb defects and the total area of honeycomb holes appearing on the concrete construction surface in each project area.

[0061] Please refer to Figure 3 As shown, the concrete construction process quality coefficients corresponding to each project area are compared with the set reference concrete construction process quality coefficients. If the concrete construction process quality coefficient corresponding to a certain project area is greater than or equal to the set reference concrete construction process quality coefficient, it indicates that the concrete construction process quality corresponding to this project area is qualified; otherwise, it indicates that the concrete construction process quality corresponding to this project area is unqualified.

[0062] The concrete construction process optimization module is used to optimize the project areas with unqualified concrete process quality based on the surface honeycomb defects.

[0063] In a specific embodiment of the present invention, the method for optimizing the project areas with unqualified concrete process quality based on the surface honeycomb defects is as follows: Determine the large-area defective concrete surface and the small-area defective concrete surface according to the sign of the difference in the total area of honeycomb holes appearing on the concrete construction surface in the project area with unqualified concrete process quality. Notify the concrete construction workers in the corresponding project area to repair the small-area defective concrete surface with cement mortar, and chisel the large-area defective concrete surface to the dense part, re-formwork, and pour high-strength concrete.

[0064] It should be noted that the difference in the total area of honeycomb holes is obtained by subtracting the set permitted area of honeycomb holes from the total area of honeycomb holes. When the sign of the difference in the total area of honeycomb holes is positive, the concrete construction surface is recorded as the large-area defective concrete surface; when the sign of the difference in the total area of honeycomb holes is negative, the concrete construction surface is recorded as the small-area defective concrete surface.

[0065] The embodiment of the present invention evaluates whether the concrete construction process quality is qualified by aggregating the number of honeycomb defects and the area of each honeycomb defect appearing on the concrete construction surface, and optimizes the concrete construction process, improving the quality of the concrete construction process of the engineering project and ensuring the quality of the concrete construction process.

[0066] The above content is only an example and illustration of the concept of the present invention. Those skilled in the art to which the present technology pertains can make various modifications or supplements to the described specific embodiments or use similar methods for substitution, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, and they should all fall within the protection scope of the present invention.

Claims

1. An optimized management system for engineering projects based on the Internet of Things and cloud computing, characterized in that, Including: A wall basic information collection module that collects the horizontal offset distance and corresponding elevation value of each height point on the surface of each wall in each project area from the plumb line through an elevation sensor; A bricklaying construction process quality assessment module that assesses whether the bricklaying construction process quality in each project area is qualified according to the horizontal offset distance and elevation value; A bricklaying construction process information collection module that samples the mortar joint thickness in the horizontal and vertical directions at a preset density in unqualified project areas, and extracts the actual size of each brick and compares it with the standard brick size to obtain the brick size qualification degree; A bricklaying construction process optimization module that determines the reasons for the unqualified bricklaying construction process quality according to the mortar joint thickness and brick size qualification degree, and generates an optimization instruction; A concrete construction process quality assessment module that counts the number and area of honeycomb-like defects on the surface of each concrete in qualified project areas, and determines whether the concrete process quality is qualified according to the set permission threshold; A concrete construction process optimization module that optimizes the unqualified project areas of the concrete process quality based on the surface honeycomb-like defects.

2. The engineering project optimization management system based on the Internet of Things and cloud computing according to claim 1, characterized in that: The specific process of assessing whether the bricklaying construction process quality corresponding to each project area is qualified is as follows: Based on the horizontal offset distance of each height point on the surface of each wall in each project area from the plumb line, the wall verticality of each project area is obtained; Perform elevation deviation analysis on the elevation values of each height point on the surface of each wall in each project area and its adjacent height points to obtain the wall flatness of each project area; Perform a weighted mean calculation on the wall verticality and wall flatness of each project area to obtain the bricklaying construction process quality coefficient corresponding to each project area; Compare the bricklaying construction process quality coefficient corresponding to each project area with the set reference bricklaying construction process quality coefficient. If the bricklaying construction process quality coefficient corresponding to a certain project area is greater than or equal to the set reference bricklaying construction process quality coefficient, it indicates that the bricklaying construction process quality corresponding to this project area is qualified; otherwise, it indicates that the bricklaying construction process quality corresponding to this project area is unqualified.

3. The engineering project optimization management system based on the Internet of Things and cloud computing according to claim 2, characterized in that: The specific process of the wall verticality of each project area is as follows: Perform a difference analysis on the horizontal offset distance of each height point on the surface of each wall in each project area from the plumb line and the standard horizontal distance between the surface and the plumb line in the case of wall verticality extracted from the database, and determine the wall verticality of each project area by comparing the obtained difference with the set allowable distance deviation.

4. The optimized project management system based on the Internet of Things and cloud computing according to claim 2, characterized in that: The specific process of calculating the wall flatness of each project area is as follows: Perform dynamic difference analysis on the elevation values of each height point on the surface of each wall in each project area and its adjacent height points to obtain the absolute elevation difference between each height point and its adjacent height point, and obtain the absolute elevation difference on the surface of each wall in each project area through mean processing. Perform elevation deviation analysis on it and the set reference elevation deviation to obtain the flatness of each wall in each project area; Screen the number of walls with flatness greater than or equal to the reference flatness, obtain the ratio of the number of walls to the total number of walls, and perform coupling analysis on it and the set ratio of the number of flat walls to obtain the wall flatness of each project area.

5. The optimized management system for engineering projects based on the Internet of Things and cloud computing according to claim 4, characterized in that: The specific process of determining the reasons for the unqualified bricklaying construction process quality is as follows: The area of the item with unqualified bricklaying construction process quality is recorded as the target project area. The deviation of the mortar joint thickness at each sampling point of each wall in the horizontal and vertical directions in each target project area is calculated, and the deviation calculation results are normalized to obtain the mortar joint uniformity of the wall. The mortar joint uniformity of the wall and the qualification degree of the brick size are substituted into the established evaluation model for the reasons of unqualified bricklaying construction process quality, and the reasons for the unqualified bricklaying construction process quality are output.

6. The optimized project management system based on the Internet of Things and cloud computing according to claim 5, characterized in that: The specific process of calculating the mortar joint uniformity of the wall is as follows: The absolute value of the deviation of the mortar joint thickness between each sampling point and its adjacent sampling point in the horizontal direction of each wall in each target project area is calculated to obtain the absolute value of the deviation of the mortar joint thickness between each sampling point and its adjacent sampling point. The absolute value of the average mortar joint thickness deviation after mean processing and the set reference deviation of the mortar joint thickness of the wall are normalized to obtain the mortar joint uniformity of the wall. The mortar joint uniformity of the wall in the vertical direction of each target project area is calculated in the same way as the calculation method of the mortar joint uniformity of the wall in the horizontal direction of each target project area. The mortar joint uniformity in the horizontal and vertical directions is weighted and calculated to obtain the mortar joint uniformity corresponding to each target project area.

7. The optimized management system for engineering projects based on the Internet of Things and cloud computing according to claim 1, characterized in that: The specific process of calculating the qualification degree of the brick size is as follows: The length, width, and height in the actual size of each brick are respectively subjected to dynamic difference calculation with the standard length, standard width, and standard height in the standard brick size provided by the brick supplier in the database, and the dynamic differences are normalized and fused to calculate the qualification degree of the brick size corresponding to each target project area.

8. The optimized management system for engineering projects based on the Internet of Things and cloud computing according to claim 7, wherein: The specific process of generating the optimization instruction is as follows: If the reason for the unqualified bricklaying construction process quality corresponding to a certain target project area is the problem of the masonry technique of the worker, the masons in this target project area are given professional masonry skill training. If the reason for the unqualified bricklaying construction process quality corresponding to a certain target project area is the problem of the brick quality, the bricks entering this target project area are strictly inspected for quality, and a brick supplier with good reputation and stable product quality is selected. If the reason for the unqualified bricklaying construction process quality corresponding to a certain target project area is a comprehensive problem, the masons in this target project area are given professional masonry skill training, and the bricks entering the site are strictly inspected for quality, and a brick supplier with good reputation and stable product quality is selected.

9. The optimized management system for engineering projects based on the Internet of Things and cloud computing according to claim 1, characterized in that: The specific process of determining whether the concrete process quality is qualified is as follows: The number of honeycomb-like defects on the surface of each concrete in each project area is accumulated to obtain the total number of honeycomb-like holes on the concrete construction surface. The area of the honeycomb-like defects on the surface of each concrete in each project area is accumulated to obtain the total area of the honeycomb-like holes on the concrete construction surface. The total number of honeycomb-like holes and the total area of the honeycomb-like holes are subjected to difference processing and normalized processing and analysis with the set permitted number of honeycomb-like holes and the area of the honeycomb-like holes to obtain the concrete construction process quality coefficient corresponding to each project area. Compare the concrete construction process quality coefficient with the set reference concrete construction process quality coefficient. If the concrete construction process quality coefficient is greater than or equal to the set reference concrete construction process quality coefficient, it indicates that the concrete construction process quality corresponding to the project area is qualified; otherwise, it indicates that the concrete construction process quality corresponding to the project area is unqualified.

10. The engineering project optimization management system based on the Internet of Things and cloud computing according to claim 9, characterized in that: The method for optimizing the project area with unqualified concrete process quality based on surface honeycomb defects is as follows: Determine the large-area defective concrete surface and the small-area defective concrete surface according to the sign of the total honeycomb hole area difference on the concrete construction surface in the project area with unqualified concrete process quality. Notify the concrete construction workers in the corresponding project area to repair the small-area defective concrete surface with cement mortar, and chisel the large-area defective concrete surface to the dense part, then re-formwork and pour high-strength concrete.

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