Construction engineering project construction quality management method and system

Abstract

The invention relates to the technical field of project management, in particular to a building engineering project construction quality management method and system, and the method comprises the following steps: obtaining a drawing node sequence index and comparing a process stage number, screening compliant nodes, judging the reasonability of a task configuration time sequence, analyzing the deviation of an included angle between a crack angle and a load direction, and recognizing structural abnormality. And aggregating the partition abnormal nodes to form a construction project quality risk distribution section mapping result. According to the method, the structure drawing node sequence is compared with the construction process, it is guaranteed that input data logic is unified, the task configuration reasonability is improved through input time and stage sequence cross check, a stress deviation judgment mechanism is established in the crack direction through vector included angle and load comparison, and structural logic verification of inspection data is achieved; abnormal nodes are identified according to double standards of time compliance and stress deviation, a spatial density model is constructed by combining partition aggregation with an area ratio, building quality risk distribution is accurately presented, and the problem focusing and processing priority judgment capability is enhanced.

Description

Technical Field

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

[0002] The field of project management technology includes the systematic organization and coordination of resources, schedule, cost and quality to ensure that project goals are achieved as scheduled. The core content mainly includes task decomposition, schedule scheduling, resource allocation, risk control and quality management, and is widely used in many industries such as construction, manufacturing, and information engineering. In the field of construction engineering, project management technology places particular emphasis on the control of the construction phase, focusing on ensuring the orderly development of construction activities and quality controllability through process planning and execution supervision. It usually combines information processing, on-site supervision and standardized management methods to build a comprehensive management framework covering all stages of the project life cycle.

[0003] Among them, the construction quality management method of construction engineering projects refers to the management method carried out in the whole process of construction to ensure the quality of structure, process and materials, etc., based on construction standards, engineering specifications and technical drawings, by formulating quality inspection processes, implementing on-site verification records, and using data comparison to determine the source of deviations. It covers construction preparation, construction process control and quality acceptance after completion, and is managed through manual inspections combined with drawing review, construction log filling, quality problem traceability records and quantitative comparison and verification of sub-projects. Usually, standardized inspection process formulation, structure and process node data recording, drawing review and physical comparison analysis are used to complete quality control tasks.

[0004] In the construction quality management process of existing construction projects, there is a lack of linkage inspection with the process logic of the construction stage, which can easily cause confusion in the construction stage due to the disorder of node coding order, resulting in disordered task arrangement. The configuration of construction tasks usually relies only on the preset plan, and does not effectively verify the relationship between the input time and the stage sequence. There are risks such as cross-stage operation errors and early intervention of tasks, which weaken the time consistency of construction data. The crack inspection data mainly relies on on-site visual inspection and experience judgment, and fails to introduce the structural logic constraints of the design load direction, resulting in weak identification of crack stress anomalies, resulting in misjudgment or omission of potential structural problems. Abnormal node screening is often independent of multi-dimensional factors such as time and structural deviation, lacks a unified fusion strategy, and is difficult to achieve accurate identification and comprehensive judgment of abnormal nodes. The presentation of quality problem results is mainly static list or linear text report, lacks the spatial aggregation ability of node number and component partition, does not have the function of quantifying and locating the abnormal density in each area of ​​the building, and is difficult to form a basis for priority processing, especially in complex building structures. It is difficult to support the hierarchical deployment of risk control. Summary of the invention

[0005] The object of the present invention is to solve the disadvantages existing in the prior art, and a construction project construction quality management method is proposed.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions: A construction project construction quality management method includes the following steps: S1: Obtain the node sequence index in the structural drawings of the construction project, and compare whether there are out-of-order numbers and mis-ordered associations of the nodes according to the process stage node sequence set in the construction logic, so as to obtain the result of the consistency of the drawing node sequence; S2: Based on the construction node task items, read the compliant node set in the result of the consistency of the drawing node sequence, analyze whether there is a behavior of pre-configuring across stages, and generate a compliance list for construction task entry; S3: Statistically analyze the data of the building crack direction angle in the construction inspection records, combine the direction vectors of the drawing design loads corresponding to the node numbers in the compliance list for construction task entry, calculate the included angle difference, judge the deviation of the structural force correlation, and obtain the result of the crack pointing error section; S4: According to the result of the crack pointing error section, combine the compliance list for construction task entry, judge and mark the abnormal nodes, and generate a grading mark record of the node inspection status; S5: According to the grading mark record of the node inspection status, classify and aggregate the abnormal nodes according to the drawing standard hierarchical numbers and component partitions, map them to the construction partition numbers of the building, and obtain the mapping result of the building project quality risk distribution section.

[0007] As a further solution of the present invention, the result of the consistency of the drawing node sequence includes the out-of-order identification situation of the number, the mis-ordered association inspection item, the comparison status of the process stage nodes, and the consistency level of the node sorting logic. The compliance list for construction task entry includes the planned entry time offset, the cross-stage configuration identifier, the rationality label of the node task time sequence, and the set of illegal node numbers. The result of the crack pointing error section includes the included angle value between the crack angle and the load direction, the category of the included angle deviation section, the unit vector of the crack direction, and the matching level of the crack and the structural force. The grading mark record of the node inspection status includes the node compliance determination status, the crack trend matching result, the comprehensive inspection risk level identifier, and the abnormal node marking information. The mapping result of the building project quality risk distribution section includes the aggregation situation of abnormal node partitions, the proportion of abnormal nodes in each partition, the calculated value of the spatial distribution density, and the construction quality concentrated risk level map.

[0008] As a further solution of the present invention, the specific steps for obtaining the result of the consistency of the drawing node sequence are as follows: S111: Based on the node sequence index in the structural drawings of construction engineering projects, extract the index numbers corresponding to the nodes and the identification of process stage nodes, match the stage node numbers associated with each drawing node, identify all node sets existing in the same process stage, calculate the deviation between the number sequence of each node in the set and the corresponding stage sequence number, and obtain the node number deviation sequence; S112: According to the node number deviation sequence, compare the relative positions of the actual connection sequence and the stage setting sequence in the drawing structure, calculate the ratio of the connection sequence difference to the number difference, determine the nodes whose ratio exceeds the offset judgment threshold and classify and mark them to generate misordered number correlation strength data; S113: According to the misordered number correlation strength data, filter out the node sets with inconsistent number offset directions in the construction process stage, record the node numbers and the corresponding stage sequence numbers, summarize the number differences and structural sequence offset information of each node in the process stage, and obtain the result of the consistency of the drawing node sequence.

[0009] As a further solution of the present invention, the steps for obtaining the compliance list of the construction task entry are specifically as follows: S211: Based on the node task entries in the construction management, read the node sets marked as compliant in the result of the drawing node sequence consistency, match the corresponding node numbers in the task entries one by one according to the node numbers, identify the task node number entries not in the compliance set and mark the task number, node number and stage number information to obtain the task node violation identification record; S212: Call the task node violation identification record, extract the planned entry time and the stage sequence number of the task in each task record, count the planned stage number corresponding to the entry time, compare it with the stage number where the task is located, and use the formula: ; Calculate the progress deviation index of the task entry in the stage , and generate the progress deviation statistical result, where represents the stage number corresponding to the planned entry time of the task entry in the stage , represents the actual stage number to which the task entry belongs, represents the duration of the task entry, is the number difference between the task entry and the stage reference node in the drawing structure, represents the node number variability; S213: According to the progress deviation statistical results, screen all task entries whose overdue deviation coefficient values exceed the stage entry deviation threshold, extract the task numbers, node numbers, stage numbers, and deviation coefficient values of the corresponding task entries, and establish a structured entry list to obtain the construction task entry compliance list.

[0010] As a further solution of the present invention, the steps for obtaining the crack pointing error section result are specifically as follows: S311: Based on the building crack direction angle data in the construction inspection record, obtain the crack trend angle and perform unit vector conversion according to the angle value, extract the direction vector representations of all crack points, and uniformly convert them to the representation form in the two-dimensional coordinate system to obtain the crack direction vector set; S312: According to the crack direction vector set, combine the direction vectors of the design loads of the corresponding drawings marked by the node numbers in the construction task entry compliance list, perform unit vector normalization processing for each set of corresponding relationships, and use the formula: ; Calculate the included angle deviation degree between the crack direction and the load direction , and obtain the crack included angle deviation data, where is the unit vector of the load direction of the th crack corresponding node, is the unit vector of the crack direction, and represent the components in the two-dimensional coordinate respectively, and the included angle unit is in degrees; S313: According to the crack included angle deviation data, judge whether the included angle value falls into the corresponding error section, mark the corresponding error section of each crack, establish a structured section distribution list, and obtain the crack pointing error section result.

[0011] As a further solution of the present invention, the steps for obtaining the node inspection status classification mark record are specifically as follows: S411: According to the included angle section category to which each crack belongs in the crack pointing error section result, match the node number information, compare it with the task node numbers in the construction task entry compliance list, identify whether there is a corresponding relationship recorded in the two results for each node, and extract the compliance status and included angle section category information of each node to obtain the node condition compliance matching result; S412: Based on the node condition compliance matching result, for each node number, extract the corresponding task compliance identifier and crack angle deviation classification value, assign them as binary state variables respectively, set judgment parameters, and perform a joint operation on the binary states to determine whether the double compliance conditions are met, using the formula: ; Calculate the The structural coordination degree of a node , determine whether it is greater than the critical value for structural state discrimination, establish a classification identifier, and generate a classification mark record for the inspection status of the node. Among them, is the compliance status value of the task input. Take 1 for compliance and 0 for violation, is the status value indicating whether the crack angle deviation is within the standard range. Take 1 for standard and 0 for abnormal, represents the standard deviation value of the crack pointing deviation, represents the node connection degree, represents the frequency density value of the crack deviation type to which the node belongs; S413: Based on the structural coordination degree, determine whether the coefficient values of each node fall within the range of the set classification threshold, and classify the nodes into three categories: normal, warning, and abnormal according to the results. Perform status number identification and recording for all nodes, establish a structured node inspection classification table, and obtain the classification mark record for the inspection status of the node.

[0012] As a further solution of the present invention, the steps for obtaining the mapping result of the quality risk distribution section of the construction project are specifically as follows: S511: According to the classification mark record of the inspection status of the node, extract the node numbers marked as abnormal status, call the corresponding standard layer number and component partition number in the structural drawing of the construction project, perform node layer identification and partition number extraction, establish a node distribution partition table, and obtain the abnormal node partition distribution table; S512: According to the abnormal node partition distribution table, count the number of abnormal nodes in each component partition, calculate the proportion of the number of abnormal nodes in the partition in the total number of nodes, and at the same time obtain the building area corresponding to each partition. Combine the ratio between the number of abnormal nodes and the building area to calculate the spatial distribution density of abnormal nodes in each partition, and obtain the structural partition abnormal density data; S513: According to the structural partition abnormal density data, perform number mapping processing on all building structural partitions, divide the risk sections according to the density value size, and mark the division result at the position of the construction partition number of the corresponding building structure plan view to obtain the mapping result of the quality risk distribution section of the construction project.

[0013] A construction project construction quality management system includes: The drawing node sequence verification module is based on the structural drawing of the construction project, compares according to the sequence of process stage nodes of the construction logic, detects whether there are out-of-order numbers and misordered associations of the nodes in the drawing, and generates the result of the consistency of the drawing node sequence; The construction task compliance detection module detects non-compliance items according to the result of the drawing node sequence consistency, and at the same time extracts the planned input time and the stage sequence of each node task, compares whether there is a behavior of pre-configuring across stages, and generates a construction task input compliance list; The structural stress deviation analysis module combines the node numbers in the construction task input compliance list, counts the data of the building crack direction angles in the construction inspection records, compares them with the design load action direction vectors, calculates the included angle difference between the crack direction and the load direction, judges the correlation between the crack trend and the structural force, and obtains the crack pointing error section result; The node inspection status evaluation module evaluates whether each node meets the conditions of task input compliance and crack trend matching based on the crack pointing error section result, marks the non-compliant nodes as abnormal nodes, and generates a node inspection status classification marking record; The quality risk section mapping module classifies and aggregates the marked abnormal nodes according to the node inspection status classification marking record, extracts the abnormal node data and maps it to the building construction partition number, and generates the building project quality risk distribution section mapping result.

[0014] Compared with the prior art, the advantages and positive effects of the present invention are as follows: In the present invention, a construction logic consistency check is established by comparing the structural drawing node sequence with the process stage, which improves the compliance of node data. The node tasks identify cross-stage configurations through the comparison of the input time and the stage sequence, strengthening the timing closed-loop control. The included angle difference between the crack direction angle and the load vector is calculated, and the structural force consistency determination is introduced to enhance the engineering interpretation ability of the inspection data. The deviation section is divided in combination with the standard to construct a quantitative evaluation mechanism for crack deviation. The abnormal nodes are identified based on the dual conditions of input compliance and crack trend deviation, improving the screening accuracy. The node aggregation is based on the standard number and the component partition, and the spatial abnormal density is calculated in combination with the area ratio to realize the location and priority ranking of regional quality problems. The overall process constructs a quality risk control chain integrating node logic review, time rationality judgment, structural anomaly analysis and spatial distribution identification. Description of the Drawings

[0015] Figure 1 is the main step flow chart of the present invention; Figure 2 is the flow chart for obtaining the result of the drawing node sequence consistency of the present invention; Figure 3 is the flow chart for obtaining the construction task input compliance list of the present invention; Figure 4 is the flow chart for obtaining the crack pointing error section result of the present invention; Figure 5 is the flow chart for obtaining the node inspection status classification marking record of the present invention; Figure 6 This is the flowchart for obtaining the mapping result of the quality risk distribution section of the construction project of the present invention. Detailed implementation manners

[0016] In order to make the objectives, technical solutions and advantages of the present invention more clear and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0017] In the description of the present invention, it should be understood that the orientation or positional relationship indicated by the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the accompanying drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation to the present invention. In addition, in the description of the present invention, the meaning of "a plurality of" is two or more, unless otherwise specifically defined.

[0018] Please refer to Figure 1 , a construction project construction quality management method, including the following steps: S1: Obtain the node sequence index in the structural drawings of the construction project, and compare whether there are out-of-order numbers and mis-ordered associations of the nodes according to the process stage node sequence set in the construction logic, so as to obtain the result of the consistency of the drawing node sequence; S2: Based on the node task entries in the construction management, read the compliant node set in the result of the consistency of the drawing node sequence, match item by item whether there are violation items in the input node numbers, extract the planned entry time and the stage sequence of each node task, compare whether there is a behavior of pre-configuring across stages, screen and record all overdue node task entries, and generate a construction task entry compliance list; S3: Statistically analyze the data of the building crack direction angle in the construction inspection records, combine the direction vector of the design load acting on the drawing corresponding to the node number in the construction task entry compliance list, calculate the included angle difference after converting the crack direction into a unit vector and the load direction vector, and judge whether there is a deviation in the structural force correlation of the crack direction according to whether the deviation interval falls within the range of 0-3°, 3-8° or greater than 8°, so as to obtain the result of the crack pointing error section (the basis for dividing the crack angle deviation interval is the determination standard of the relationship between the crack shape and the load in the "Code for Acceptance of Construction Quality of Concrete Structures" (GB50204). By measuring the included angle between the crack extension direction and the design load acting direction, if the two directions are the same (deviation ≤ 3°), it is regarded as normal, 3°-8° requires early warning and re-inspection, and if it exceeds 8°, it is determined that there is a significant force abnormality); S4: According to the included angle section classification result in the crack direction error section result, combine the content entered in the construction task compliance list, and judge whether the current node meets both conditions of task input compliance and crack trend matching. If either does not meet the requirements, mark it as an abnormal node and generate a node inspection status classification mark record; S5: According to the node inspection status classification mark record, classify and aggregate the nodes marked as abnormal status according to the standard hierarchical numbering (GB / T50502-2009) and component partition in the structural drawing of the building engineering project, and extract the quantity, proportion and spatial distribution density of abnormal nodes in the same partition (the spatial distribution density is calculated by statistically calculating the ratio of the total number of abnormal nodes in each building partition to the building area of the partition. The higher the ratio, the higher the concentration of quality problems in this area, and engineering reinforcement or rework treatment should be given priority), map it to the building construction partition number, and obtain the mapping result of the building project quality risk distribution section.

[0019] The results of the drawing node sequence consistency include the out-of-order identification of numbers, the mis-order correlation check items, the comparison status of the process stage nodes, and the node sorting logic consistency level. The construction task input compliance list includes the planned input time offset, the cross-stage configuration identifier, the node task time sequence rationality label, and the set of illegal node numbers. The crack direction error section result includes the included angle value between the crack angle and the load direction, the included angle deviation section category, the crack direction unit vector, and the crack and structural force matching level. The node inspection status classification mark record includes the node compliance determination status, the crack trend matching result, the comprehensive inspection risk level identifier, and the abnormal node annotation information. The mapping result of the building project quality risk distribution section includes the abnormal node partition aggregation situation, the proportion of abnormal nodes in each partition, the calculated value of the spatial distribution density, and the construction quality concentration risk level map.

[0020] Please refer to Figure 2 , and the steps of S1 are as follows: S111: Based on the node sequence index in the structural drawing of the building engineering project, extract the corresponding index number and process stage node identifier of the node, match the stage node numbers associated with each drawing node, identify all node sets existing in the same process stage, and calculate the deviation between the number order of each node in the set and the corresponding stage sequence number to obtain the node number deviation sequence; Based on the node sequence index in the structural drawings of construction engineering projects, each node in the drawings is identified item by item, and the node number information is extracted. Combining the spatial position and number label of the node, the structural sequence number corresponding to each node is identified one by one, and a continuous number sequence with the number format of N001, N002, N003 is obtained. Comparing with the node sequence of the process stage set in the construction plan, the node identification set in the process stage is extracted, and it is judged whether there is a one-to-one correspondence between the drawing nodes and the process nodes. If there are missing nodes, the node number and position attributes are recorded. After obtaining all the nodes that meet the one-to-one correspondence, a reference sorting table is established according to the ascending order of the node numbers in the process stage. The node numbers in the drawing are arranged in the actual order to form an actual sorting table. Then, the difference value of the index positions of the same node number in the two sorting tables is compared. Taking the node number N004 as an example, which is in the 4th position in the reference sorting and in the 6th position in the drawing, the deviation value is 2. For all the nodes that meet the conditions, a node number deviation array is established uniformly, where the length of the array is equal to the number of nodes. The deviation value calculation method is the drawing actual number index minus the reference number index. If the result is negative, it means pre-numbering, and if it is positive, it means post-numbering. After recording all the deviation values, a deviation sequence is summarized. Through the deviation sequence, it can be identified whether there is a systematic deviation trend in the overall structure order. For example, if most of the node deviation values are positive, it indicates that the node numbers in the drawing are generally arranged postpone. To verify the rationality of the data, it is assumed that there are 8 nodes in the example project, and their indexes in the reference sorting and the drawing sorting are shown in the table respectively: Table 1 Example Table of Node Number Deviation ; As shown in Table 1, the deviation sequence obtained by subtracting the reference index from the drawing index is [0, 0, 1, 2, -2, -1, 0, 0]. This deviation sequence is used as an important basis for subsequent judgment of number order misalignment and misorder strength, and finally the node number deviation sequence is obtained.

[0021] S112: According to the node number deviation sequence, compare the relative positions of the actual connection order and the stage setting order in the drawing structure, calculate the ratio of the connection order difference to the number difference, judge the nodes whose ratio exceeds the offset judgment threshold, and classify and mark them to generate misorder number correlation strength data; Call the node number deviation sequence value, and extract the structural path information of the nodes with non-zero deviation values ​​in each process stage one by one, including the upper node number, the lower node number and the corresponding connection line relationship in the drawing. Combine the connection order of the nodes in the drawing to form a structural sequence path list. By comparing the position index of the node in the structural path list with its position index in the process stage node sequence table, calculate the connection sequence difference of the node in the drawing structure path, that is, the connection sequence value minus the process sequence value, and calculate the number sequence difference at the same time. This difference is the deviation sequence value. Divide the connection sequence difference and the number difference to get the wrong sequence ratio. When the ratio exceeds the set structural sequence offset judgment threshold, mark the node as a wrong sequence number node. The structural sequence offset judgment threshold is set to 1, indicating that if the structural sequence difference If it is consistent with the numbering deviation, it is a reasonable order. If the ratio exceeds 1, it indicates that the node structure position changes too much. In order to verify the accuracy of the node marking process, the connection order of node N004 is set to be the 6th in the drawing and the 4th in the process. The connection order difference is 2, the numbering deviation is 2, and the misorder ratio is 1, which is lower than the threshold and is not marked as a misordered number. If the connection order of node N005 is the 3rd in the drawing and the 5th in the process, the connection order difference is -2, the numbering deviation is -2, and the misorder ratio is 1, it is not marked either. However, if the connection order difference of node N006 is -4 and the numbering deviation is only -1, the misorder ratio is 4, which is greater than the threshold and is marked as a misordered node. After all the marked nodes are collected and their numbers and misorder ratios are recorded, a structural order dislocation set is formed, and finally the misordered number association strength data is generated.

[0022] S113: According to the mismatched sequence number association strength data, a node set with inconsistent number offset directions in the construction process stage is selected, the node number and the sequence number of the corresponding stage are recorded, the number difference and structure sequence offset information of each node in the process stage are summarized, and the drawing node sequence consistency result is obtained; Based on the misordered number correlation strength data, nodes with inconsistent number offset directions in multiple process stages are screened out. When identifying such nodes, the offset direction values in each process stage need to be extracted. The direction value is defined as 1 when the deviation is positive and -1 when the deviation is negative. If the direction value reverses between adjacent process stages, it is judged that the offset direction is inconsistent. For example, if the offset direction of node N003 is +1 in stage 1 and -1 in stage 2, it is recorded as a node with inconsistent direction. For such nodes, further extract their numbers, offset direction sequences, misordered strength values, and the stage numbers they are in. Combine the offset amounts and misordered strengths of each stage to establish a direction conflict sequence list. Identify all nodes with changing offset directions and misordered strength values higher than 0.5 as node sequence conflict nodes. Finally, obtain whether the number offsets of each node in multiple process stages have structural consistency, and establish a sequence consistency judgment table based on this. In practical applications, assume that the project contains 3 stages. The deviations of node N003 in the three stages are -2, 1, and 2 respectively, and the directions are -1, 1, and 1 respectively. Among them, the direction reverses from stage 1 to stage 2, and the strength value is 0.8, which is higher than the judgment threshold of 0.5, so it is identified as a direction conflict node. The directions from stage 2 to stage 3 are consistent, so it is not judged. Finally, count all direction conflict nodes and mark their numbers in the consistency judgment table to finally obtain the drawing node sequence consistency result.

[0023] Please refer to Figure 3 , step S2 is as follows: S211: Based on the node task entries in construction management, read the set of nodes marked as compliant in the drawing node sequence consistency result, match the corresponding node numbers in the task entries one by one according to the node numbers, identify the task node number entries not in the compliant set, and mark the task numbers, node numbers, and stage number information to obtain the task node violation identification record; Based on the node task entries in construction management, first read the set of nodes marked as compliant in the result of the drawing node sequence consistency. Extract the numbers of the node set in the structural drawing. For example, the node numbers in the drawing are set as N001 to N010, and the compliant ones in the sequence consistency result are N001, N002, N004, N005, N007, N009. Subsequently, read the node number content recorded in the node task entries one by one. For example, the nodes recorded in the task entries are N003, N004, N005, N006, etc. Compare the numbers one by one. During the comparison process, mark the entries where the numbers N003 and N006 in the task entries are not included in the drawing node sequence consistency result set as violation items, record their task numbers such as T03, T06, the corresponding node numbers N003, N006, and the construction stage number to which the task belongs, such as the stage numbers are P1, P2, etc. For the tasks marked as violation items, further extract their structured entry information and summarize it into a task node identification record. For example, in the task with the task number T06, it is found that its node number is N006, this node is not in the compliant set, and the stage it is in is P2. Therefore, mark its violation and record its structured information as {task number: T06, node number: N006, stage number: P2}. A total of 5 violation task nodes are identified during the one-by-one comparison process, and a structured record table is established. In an actual project, this process can directly call the task database and the drawing node data through the construction project management system for structured comparison, and the output result is the task node violation identification record.

[0024] S212: Call the task node violation identification record, extract the planned entry time and the sequential number of the stage where the task is located in each task record, count the planned stage number corresponding to the entry time, and compare it with the stage number where the task is located. Use the formula: ; Calculate the task entry in the stage the schedule variance index (a well-known term used to measure the deviation of the actual task progress from the plan (refer to the PMI schedule variance index)), generate the schedule variance statistical result, where, represents the stage number corresponding to the planned entry time of the task entry in the stage , represents the stage number to which the task entry actually belongs, represents the duration of the task entry, is the number difference between the task entry and the stage reference node in the drawing structure, represents the node number variability; The duration of the task entry ( ), which is a standard parameter in the field of construction projects, representing the number of days from the start to the end of a task and is commonly used in project schedule planning and scheduling management; the node number variability ( ), which is the statistical variance of the set of node numbers, indicating the degree of dispersion of the node number distribution and is used to measure the structural fluctuations of task offsets; Based on the task node violation identification records, extract the planned entry time of the task entries involved and the corresponding stage number of the task. For example, the entry time of task number T06 is March 5, 2025, and its corresponding stage number is P2. Map the entry time to the stage number, and it is obtained that the time should be in stage P3, that is, the stage number corresponding to the planned entry time is P3. Further calculate the offset value of the task planned entry time, and the offset value is P3−P2 = 1. Subsequently, extract the construction period of the task entry, that is, the time span from the start to the end of the task, expressed in days, denoted as 10 days. In addition, call the node number of this task in the drawing node information as N006, compare it with the reference number N004 in the standard node number set of this stage, and calculate the number difference ΔN = 6−4 = 2. Further calculate the variance of the node number difference. Suppose the occurrence frequencies of N004, N005, and N006 in this stage are 2, 3, and 1 respectively, then the mean value is (4×2 + 5×3 + 6×1) / 6 = 4.83, and the node number variability is ((4−4.83)²×2+(5−4.83)²×3+(6−4.83)²×1) / 6 = 0.472. Substitute it into the formula: ; Among them, , , , , ; Table 2 lists the stage numbers and offset calculation results of each task entry: Table 2 Task Entry Stage Offset Calculation Table ; As shown in Table 2, the offset coefficient of task T06 is 4.74. The basis for setting the offset threshold for stage entry lies in the reasonable ratio relationship between the average task span within the actual stage of the construction project and the stability of the numbering structure. This value should be set on the premise of maintaining the rationality of the task stage and the matching of the scheduling load. Considering the variation range of the average project task duration within 8 to 15 days, and the statistical characteristics that the variance of the drawing node numbers generally concentrates between 0.2 and 0.6, the typical variation range of the offset coefficient is 2.5 to 6.0. Therefore, when the threshold is set to 3.5, it can effectively identify the task node entries with significant stage mismatches. This value increases correspondingly with the increase of the average duration or the expansion of the number variation degree, reflecting its linkage characteristics with the layout density of construction tasks and the discrete degree of the node structure, thus making the threshold setting highly matched with the actual situation of construction management; tasks with an offset coefficient value higher than 3.5 are marked as overdue tasks, and the corresponding progress deviation statistical results of the tasks are generated.

[0025] The operation logic of this formula comprehensively measures the offset characteristics generated by construction tasks in the dual dimensions of time and structure. Among them, the difference between the planned stage number and the actual stage number represents the time offset direction and offset amplitude of task entry. This item is multiplied by the task duration to reflect the amplification effect of task time offset on the overall construction arrangement, that is, the longer the task duration, the greater the management impact caused by time offset; the denominator part is used to comprehensively measure the deviation degree of task nodes in the structural order. The node number difference represents the number offset distance of this task node relative to the reference node of this stage, and the node number variation degree represents the fluctuation range of the overall distribution of node numbers. The sum of the two reflects the severity of the structural misalignment. Among them, the square root operation is used to normalize the offset degree to prevent the calculation result from being unbalanced due to extreme values. The absolute value processing of the whole formula ensures that regardless of whether the time is advanced or delayed, the objective value of the offset amplitude can be reflected, and finally a quantitative description of the composite conflict degree between task time offset and node structure misalignment is formed.

[0026] S213: According to the progress deviation statistical results, screen all task entries with overdue offset coefficient values exceeding the offset threshold for stage entry, extract the task numbers, node numbers, stage numbers and offset coefficient values of the corresponding task entries, and establish a structured entry list to obtain the compliance list of construction task entries. According to the progress deviation statistics results, screen the items in all task entries whose deviation coefficients exceed the set deviation threshold. For example, in the above text, the deviation coefficients of tasks T02, T03, and T06 are 3.94, 5.83, and 4.74 respectively, all exceeding the threshold value of 3.5. Mark these three task entries as overdue entries, record their task numbers, node numbers, affiliated stage numbers, and deviation coefficient values, and organize them into a structured format. Each entry is presented in the form of {task number: Tx, node number: Nx, stage number: Px, deviation coefficient value: Lx}, and uniformly incorporate them into the construction task entry management module to form a standard list. This list is used for summarizing the review records of stage tasks and archiving control documents, thereby obtaining a compliance list for construction task entries.

[0027] Please refer to Figure 4 , step S3 is as follows: S311: Based on the building crack direction angle data in the construction inspection records, obtain the crack trend angle and perform unit vector conversion according to the angle value. Extract the direction vector representations of all crack points and uniformly convert them to the representation form in a two-dimensional coordinate system to obtain the crack direction vector set; Based on the building crack direction angle data in the construction inspection records, the crack direction data collection should be based on the crack angle information provided in the inspection record form or digital detection instrument. Usually, this angle is expressed as the degree after clockwise rotation from the horizontal direction and needs to be converted into a vector to participate in the included angle operation. During the execution process, the unit vector should be calculated first according to the crack direction angle value calculate its unit vector , if the crack angles are 60°, 90°, and 135°, the corresponding unit vectors are (0.5, 0.866), (0, 1), and (-0.707, 0.707) respectively. Subsequently, record the crack angles for multiple detection points and perform conversion, establish a two-dimensional vector coordinate system, and uniformly store it in an array or vector set structure for subsequent mapping and pairing with the load direction data. Considering that the crack angle error is commonly in the range of ±1° to ±3°, to avoid deviation amplification, the input accuracy needs to be controlled within 0.1°. The converted vector format is uniformly in the floating-point four-digit decimal format, and finally, the crack direction vector set is obtained.

[0028] S312: According to the crack direction vector set, combined with the load direction unit vector corresponding to the node number marked in the construction task entry compliance list in the drawing design, perform unit vector standardization processing for each set of corresponding relationships, using the formula: ; Calculate the included angle deviation degree between the crack direction and the load direction , obtain the crack included angle deviation data, where is the load direction unit vector of the th crack corresponding node, is the unit vector of the crack direction, and respectively represent the components in the two-dimensional coordinates, and the angle unit is in degrees; According to the crack direction vector set, call the load design drawings corresponding to each node number in the construction task entry compliance list. By referring to the structural construction drawings, the main direction of the node load can be extracted. The main direction is usually indicated by the design unit in the node description table or the drawing appendix, expressed in the form of an angle. If the node load direction is 0°, 30°, 45°, 60°, 90°, then their unit vectors are (1, 0), (0.866, 0.5), (0.707, 0.707), (0.5, 0.866), (0, 1) respectively, and they need to be uniformly converted into the unit vector form , then, the already converted unit vector of the crack direction and the unit vector of the load direction are subjected to the dot product operation, and at the same time, the square roots of the squares of the moduli of the two vectors are respectively processed for the denominator term of the included angle calculation, and the included angle deviation calculation is performed according to the following formula.

[0029] In, all unit vector components 、 can be obtained by converting the actual angle. For example, if the crack number is C1, its load vector is (0.866, 0.5), and the crack vector is (1.0, 0.0), then the dot product is 0.866, the product of the moduli is 1, and the included angle is 30°; if the crack number is C2, both the load and crack vectors are (0.707, 0.707), the dot product is 1, and the included angle is 0°; the included angle deviation is the absolute value difference between the two included angles, and a three-segment threshold mechanism is adopted: 0° to 3° is normal, 3° to 8° is the warning section, and greater than 8° is the abnormal section. This threshold is set according to the comparison standard of the crack direction and the load direction in Article 10.2.5 of the "Code for Acceptance of Construction Quality of Concrete Structures" (GB50204-2022). In the current example, both crack C1 and C3 have an included angle deviation of 30°, which is classified as the "abnormal section" judgment, and the included angle of crack C2 is 0°, which is classified as the "normal section". The above actual values are sorted as follows: Table 3 Crack Load Included Angle Deviation Table ; As shown in Table 3, the calculated values of the included angle have been obtained through the vector included angle formula and classified into different sections, providing a basis for subsequent error judgment, and finally obtaining the crack included angle deviation data.

[0030] The operation logic of the above-mentioned included angle deviation calculation formula is derived from the cosine formula of the included angle between two vectors. Its core idea is to reflect the similarity between the directions of the two vectors through the dot product operation between unit vectors. The closer the dot product result is to 1, the more consistent the directions are. The closer it is to 0 or a negative value, the greater the deviation of the directions. In the formula, the numerator part represents the dot product between the load direction vector and the crack direction vector, that is , and its value can reflect the included angle relationship between the two vectors. The denominator part is the product of the moduli of the two vectors, which is used for normalization processing to eliminate the influence caused by different vector lengths and ensure that the included angle calculation only depends on the direction rather than the length. Therefore, the modulus length is obtained in the form of taking the square root of the sum of squares, that is, the Euclidean norm form. Then, the cosine value of the vector included angle is obtained by dividing the numerator by the denominator, and the radian value of the included angle is calculated by the arccosine function. Finally, it is multiplied by to convert it to degree measure to be consistent with the measurement unit used in engineering practice. The whole process ensures that the calculation result of the included angle is both accurate and operable, and finally the angle deviation value between the crack direction and the load direction is obtained.

[0031] S313: According to the crack included angle deviation data, judge whether the included angle value falls into the error sections of 0° to 3°, 3° to 8°, or greater than 8°. According to the judgment criteria of the "Code for Acceptance of Construction Quality of Concrete Structures" (GB50204), mark each crack corresponding to the error section, establish a structured section distribution list, and obtain the crack pointing error section result; According to the crack included angle deviation data, judge whether the value falls into the three deviation sections set by the specification. If the included angle deviation value is less than or equal to 3°, the crack direction is consistent with the load and is classified into the normal section; if the deviation value is between 3° and 8°, it indicates that the crack direction may deviate and needs to be included in the recheck list; if the deviation is greater than 8°, it means that the crack trend has significantly deviated from the load direction and is listed as an abnormal crack item according to the specification. Combining the values in Table 1, crack C2 is classified into the normal section, and cracks C1 and C3 are listed as abnormal sections because the included angle is 30°. Finally, a structured section distribution list is established, and the fields include crack number, included angle deviation value, section type, and corresponding node number, etc. After statistical collation, the crack pointing error section result is obtained.

[0032] Please refer to Figure 5 , and the steps of S4 are as follows: S411: According to the included angle section category to which each crack in the crack pointing error section result belongs, match the node number information, compare it with the task node numbers in the construction task entry compliance list, identify whether there is a corresponding relationship recorded in both results for each node, and extract the compliance status and included angle section category information of each node to obtain the node condition compliance matching result; According to the included angle classification information in the crack pointing error section results, it is necessary to read the node numbers in the crack records one by one, and combine their corresponding deviation level classifications. For example, deviations less than or equal to 3 degrees are classified as level I, those between 3 and 8 degrees are classified as level II, and those greater than 8 degrees are classified as level III. First, analyze the node positions of each crack in the crack dataset, extract its associated numbers such as N01, N02, etc., and retrieve whether the node exists in the construction task entry compliance list. If it exists, extract the compliance identification field value of this task record , where the compliance assignment is 1 for compliance and 0 for non-compliance. For example, if node N01 is in a compliant state , if no matching record is found, skip the current node, and then extract the crack classification value , which is obtained from the crack pointing error section classification. If the crack deviation belongs to level I (deviation ≤ 3°) , if it is level II or III , respectively establish an association array between the node numbers and , for nodes N01, N02, N03, N04 to complete the dual-channel condition matching of the nodes, and calculate the ratio of the total sample size of the node pairs that meet the two conditions. If the task of node number N02 is compliant but its included angle classification is level II, then this node will be assigned in the calculation, and continue to combine its with as the subsequent judgment input item, and at the same time extract other structural parameters for subsequent judgment, such as node connectivity , deviation frequency density , crack pointing deviation standard deviation and other parameters, and summarize and construct the input data table, as shown in Table 4 specifically: Table 4 Node Inspection Input Data Table ; As shown in Table 4, the input data for node inspection is constructed, laying a foundation for the subsequent calculation and grading of the structural coordination degree

[0033] S412: Based on the node condition compliance matching results, for each node number, extract the corresponding task compliance identification and crack angle deviation classification value, and assign them as binary state variables respectively. Set judgment parameters to perform a joint operation on the binary states to determine whether the double compliance conditions are met. Use the formula: ; Calculate the structural coordination degree of the th node (A well-known term used to evaluate the coordination between the status of a structural node and a standard (refer to the field of structural health monitoring)), determine whether it is greater than the critical value for structural status discrimination, establish a classification identifier, and generate a graded record of the inspection status of the node. Among them, is the compliance status value of the task input. If it is compliant, take 1; if it is non-compliant, take 0. is the status value indicating whether the crack angle deviation is within the standard range. If it is standard, take 1; if it is abnormal, take 0. represents the standard deviation of the crack pointing deviation. represents the node connectivity. represents the frequency density value of the crack deviation type to which the node belongs. Structural coordination degree ( ) is used to quantitatively judge the double compliance degree of the node in terms of construction task entry and crack direction consistency. The smaller the value, the more stable it is; the standard deviation of the crack pointing deviation ( ) measures the dispersion degree of the crack angle associated with the node deviating from the average direction; the node connectivity ( ) is the number of direct connections of a node in the network diagram structure, used to evaluate its influence in the structural system, and can be statistically analyzed through the topology diagram; the relative frequency ( ) represents the frequency of the crack deviation interval category to which the node belongs among the nodes in the same stage, and is obtained by using the standard frequency calculation method. Based on the above matching results, it is necessary to comprehensively calculate the degree of node condition compliance, and calculate it using a formula. The task compliance status value and the crack included angle status value are binary condition input variables. When both conditions are met, , and in other cases, it is 0. This item can be regarded as a condition matching penalty factor. The standard deviation measures the dispersion degree of the crack included angle deviation associated with the node, and the node connectivity measures the connection breadth of the node in the structural drawing, and the frequency density reflects the proportion of the deviation category to which the node belongs in the whole. On this basis, taking the actual node N02 as an example for calculation and explanation, substituting the parameter values in Table 4, we have: , ; ; , ; First, calculate the numerator: ; Then, calculate the denominator: ; Finally: ; Substitute parameters into the formula for nodes N01, N03, and N04 respectively according to this method to calculate their structural coordination degrees , , , and all the values will be used for state classification determination.

[0034] The operation logic of this formula is constructed based on the two-way consistency requirement in the process of construction task execution and structural stress response of the node. The numerator part is used to measure the superposition risk of the compliance degree of the node and the crack deviation fluctuation. Among them, the item combines the task compliance status value and the crack angle status value . When both are in the compliance state (i.e., both are 1), this item is 1; otherwise, it is 0, so as to reflect the ideality or defectiveness of the node under the compliance of the structure and plan dual channels, and then superimpose the standard deviation of the crack direction of the node to introduce the influence of the deviation volatility of multiple cracks on this node; in the denominator part , the node connectivity represents the stability base number of the node in the structural network. The higher the connectivity, the stronger the anti-interference ability of the structure. At the same time, the relative frequency of the deviation type is introduced to reflect the common degree of this deviation type in the structural environment. After adding the two and taking the square root, the sensitivity of the high value amplification to the final value can be weakened, and adding 1 can avoid the denominator from being zero, making the overall formula operable. This structure constructs a consistency judgment quantity of node response through the proportional combination of risk factors and structural resistance, which helps to describe the stable deviation degree of the node under the current structural and planned states.

[0035] S413: Based on the structural coordination degree, judge whether the coefficient values of each node fall within the set classification threshold range, and classify the nodes into three categories: normal, warning, and abnormal according to the results. Identify and record the status numbers of all nodes, establish a structured node inspection classification table, and obtain the node inspection status classification mark record; According to the obtained structural coordination degree, conduct inspection status classification according to the preset threshold. The setting of this threshold takes the controllability of node risk as the core principle, combined with task compliance , included angle error level , structural connectivity and crack deviation standard deviation to conduct research and calculation on the four parameter characteristics. Through the operation and classification of the performance of typical samples with a connectivity between 3 and 8 in the multi-node structure within the range of taking values from 1.5 to 3.5, on the basis of ensuring is 1 or 0, count its corresponding The central tendency of the numerical distribution will ultimately The node features identified within the interval have a high connectivity , the included angle error is Grade I (i.e., ), and the common characteristics of the deviation standard deviation being lower than 2.5 are established as the "normal" state interval, while The samples in the interval usually have medium connectivity , the crack deviation standard deviation is in the range of 2.5 to 3.2. Although the included angle is compliant, the task may be abnormally entered. Therefore, it is set as the "warning" range. This range is used to screen nodes that do not meet all the structural response requirements but have not reached the abnormal level. Finally, it is determined as the "abnormal" interval, and its typical manifestation is insufficient node structure connectivity and the crack deviation is higher than 3.2, and it is often accompanied by a lack of compliance, that is, or status matching. This setting logic can be stably applied to engineering projects with 10 to 50 construction key nodes, and has obvious structural feature discrimination ability. Accordingly, the status of nodes N01, N02, N03, and N04 in Table 4 is divided as follows: N01: , falling into the "warning" interval; N02: , falling into the "abnormal" interval; N03: , falling into the "warning" interval; N04: , falling into the "warning" interval; Finally, according to the above classification rules, a status marking record entry is generated for each node, including fields: node number, calculation coefficient value, classification result, and a node inspection status classification marking record table is constructed for subsequent reference in the inspection plan or for calling in the rectification schedule, and can also be used to generate a summary of the periodic inspection report and trend analysis structure.

[0036] Please refer to Figure 6 , step S5 is as follows: S511: According to the node inspection status classification marking record, extract the node numbers marked as abnormal status, call the corresponding standard level number and component partition number in the structural drawings of the building engineering project, perform node level identification and partition number extraction according to the 《Gb / T50502 - 2009》 standard, establish a node distribution partition table, and obtain the abnormal node partition distribution table; According to the hierarchical marking records of node inspection status, extract the node number information marked as abnormal, and further obtain its standard hierarchical number and component partition number in the structural drawings of the construction project. The standard hierarchical number is extracted according to the building structure division principle in the standard "Gb / T50502-2009", and the component partition number can be obtained by cross-matching the component position information in the drawing structure and the partition coordinates in the building plan. For example, for a node numbered N-102, its drawing annotation is located in section 3F-b. By referring to the drawing block numbering system of this drawing, its belonging level is the 3rd floor and the partition number is section b. Then, it is necessary to traverse all abnormal nodes and extract their respective partition numbers to form a preliminary array of abnormal node distribution structures. Next, construct an aggregation set with the partition number as the index field, group and count the nodes with the same partition number through loop comparison, and record the total number of node numbers in each group. This process needs to be verified in combination with the actual node number data. For example, in a certain construction project, a total of 15 abnormal nodes are extracted, numbered from a01 to a15, and their distribution areas are divided according to the drawing annotation of the structure as follows: a01 to a06 belong to area a on the 1st floor, a07 to a10 belong to area a on the 2nd floor, and a11 to a15 belong to area b on the 3rd floor. Through the above clustering operation, it can be classified into three main aggregation partitions, namely 1-a, 2-a, and 3-b. Verify the structural level and partition number attribution of each group of aggregated nodes to confirm their actual positions in the drawing structure. Finally, establish a mapping relationship between the above three groups of node annotation information and the drawing partition coding to obtain the abnormal node partition distribution table.

[0037] S512: According to the abnormal node partition distribution table, count the number of abnormal nodes in each component partition, calculate the proportion of the number of abnormal nodes in the partition in the total number of nodes, and at the same time obtain the building area corresponding to each partition. Combine the ratio between the number of abnormal nodes and the building area to calculate the spatial distribution density of abnormal nodes in each partition, and obtain the abnormal density data of the structural partition; According to the abnormal node partition distribution table, it is necessary to perform the operation of counting the number of abnormal nodes for each building component partition, and at the same time obtain the building area parameters of each partition. The number of nodes can be directly obtained from the number of nodes in each group in the structural array classified and aggregated in the previous stage. For example, 6 abnormal nodes are counted in area a on the first floor, 4 in area a on the second floor, and 5 in area b on the third floor. The building area parameters need to be obtained according to the data recorded in the drawing annotations or the construction BIM model. For the areas in the example, the areas of area a on the first floor is 260 ㎡, area a on the second floor is 180 ㎡, and area b on the third floor is 310 ㎡. It is necessary to integrate the above data to construct a density data structure that can be used for calculation. The spatial distribution density is defined as the ratio obtained by dividing the number of abnormal nodes in a certain partition by the building area of that partition. The larger the value, the higher the concentration of abnormal node distribution. For example, calculating the above three partitions, the obtained spatial distribution densities are 0.0231, 0.0222, and 0.0161 respectively. Combining the above statistics, it is also necessary to calculate the proportion of abnormal nodes in each partition, that is, N / Ntotal. If the total number of nodes on this floor is 65 in area a on the first floor, 50 in area a on the second floor, and 72 in area b on the third floor respectively, the proportions of abnormal nodes are 9.23%, 8.00%, and 6.94% respectively. At this time, it is necessary to perform cross-verification on the spatial distribution density value and the proportion value of abnormal nodes, and use this to identify high-risk aggregation sections. The following table lists the relevant data results.

[0038] Table 5 Statistical Table of Abnormal Nodes in Building Component Partitions ; As shown in Table 5, the differences in the abnormal node rates and density indicators of different partitions are obvious, providing basic parameter support for subsequent spatial risk mapping. The data in the table can be used for subsequent sorting and identification of partition quality risks to obtain the abnormal density data of the structural partitions.

[0039] S513: According to the abnormal density data of the structural partitions, perform number mapping processing on all building structural partitions, divide the risk sections in combination with the density values, and mark the division results at the corresponding construction partition number positions of the building structure plan to obtain the mapping result of the quality risk distribution sections of the building project; According to the abnormal density values of the structural partitions, perform number mapping operations on the partition numbers of all components. Arrange the partition codes in descending order according to the sorted density value list. For example, if the density values of the three partitions 1-a, 2-a, and 3-b mentioned above are 0.0231, 0.0222, and 0.0161 respectively, the sorting result is 1-a > 2-a > 3-b. Further divide the density values into several sections, and a pre-judgment threshold can be set. For example, density > 0.020 is a high-risk section, 0.010 ≤ density ≤ 0.020 is a medium risk, and density < 0.010 is a low risk. Combining the data in the table, 1-a and 2-a are classified into the high-risk section, and 3-b is classified into the medium-risk section. During the above division process, the corresponding risk levels of each partition need to be recorded in the structure mapping table, and at the same time, according to the numbers marked in the drawings of each partition, write back the grade results to the corresponding partition positions of the building structure drawings. For example, locate the 1-a area in the building drawing number to the structural drawing block "Structural Drawing of the First Floor - Area a", and mark "High Risk" in the annotation column of this drawing block. The above process needs to execute the mapping relationship among the partition number - density value - drawing position one by one to achieve the corresponding mapping relationship between the building structure quality distribution information and the drawing level annotation. Finally, integrate all the area numbers and risk level annotation information to obtain the mapping result of the quality risk distribution section of the building project.

[0040] A construction quality management system for building engineering projects includes: The drawing node sequence verification module is based on the structural drawings of building engineering projects, compares according to the process stage node sequence of the construction logic, detects whether there are out-of-order numbers and mis-ordered associations in the nodes of the drawings, and generates the drawing node sequence consistency result; The construction task compliance detection module detects violations according to the drawing node sequence consistency result, and at the same time extracts the planned input time and the stage sequence of each node task, compares whether there is a behavior of pre-configuring across stages, and generates a construction task input compliance list; The structural stress deviation analysis module combines the node numbers in the construction task input compliance list, counts the building crack direction angle data in the construction inspection records, compares it with the design load action direction vector, calculates the included angle difference between the crack direction and the load direction, judges the correlation between the crack direction and the structural force, and obtains the crack pointing error section result; The node inspection status evaluation module evaluates whether each node meets the conditions of task input compliance and crack direction matching based on the crack pointing error section result, marks the non-compliant nodes as abnormal nodes, and generates a node inspection status classification marking record; The quality risk section mapping module classifies and aggregates the marked abnormal nodes according to the node inspection status classification marking record, extracts the abnormal node data and maps it to the building construction partition number, and generates the mapping result of the quality risk distribution section of the building project.

[0041] The above are only the preferred embodiments of the present invention, and do not limit the present invention in other forms. Any person skilled in the art may use the technical content disclosed above to make changes or modifications into equivalent embodiments with equivalent changes and apply them to other fields. However, as long as it does not depart from the technical solution content of the present invention, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention still fall within the protection scope of the technical solution of the present invention.

Claims

1. A construction quality management method for construction projects, characterized in that It includes the following steps: S1: Obtain the node sequence index in the structural drawings of the construction project. According to the process stage node sequence set in the construction logic, compare whether there are out-of-order numbers and misordered associations of the nodes, and obtain the result of the consistency of the drawing node sequence; S2: Based on the construction node task items, read the set of compliant nodes in the result of the consistency of the drawing node sequence, analyze whether there is cross-stage early configuration behavior, and generate a compliance list for construction task entry; S3: Statistically analyze the data of the building crack direction angles in the construction inspection records. Combine the direction vectors of the design loads corresponding to the node numbers in the compliance list for construction task entry, calculate the included angle difference, judge the deviation of the structural force correlation, and obtain the result of the crack pointing error section; S4: According to the result of the crack pointing error section, combine the compliance list for construction task entry, judge and mark the abnormal nodes, and generate a record of the classification marks of the node inspection status; S5: According to the record of the classification marks of the node inspection status, classify and aggregate the abnormal nodes according to the drawing standard hierarchical numbers and component partitions, map them to the construction partition numbers, and obtain the mapping result of the building project quality risk distribution section; 2. The construction project construction quality management method according to claim 1, wherein, The result of the consistency of the drawing node sequence includes the out-of-order number identification situation, the misordered association inspection item, the comparison status of the process stage nodes, and the consistency level of the node sorting logic. The compliance list for construction task entry includes the planned entry time offset, the cross-stage configuration identifier, the rationality label of the node task time sequence, and the set of illegal node numbers. The result of the crack pointing error section includes the included angle value between the crack angle and the load direction, the category of the included angle deviation section, the unit vector of the crack direction, and the matching level of the crack and the structural force. The record of the classification marks of the node inspection status includes the node compliance determination status, the crack trend matching result, the comprehensive inspection risk level identifier, and the abnormal node marking information. The mapping result of the building project quality risk distribution section includes the aggregation situation of the abnormal node partitions, the proportion of abnormal nodes in each partition, the calculated value of the spatial distribution density, and the construction quality concentrated risk level map.

3. The construction project construction quality management method according to claim 1, characterized in that The specific steps for obtaining the result of the consistency of the drawing node sequence are as follows: S111: Based on the node sequence index in the structural drawings of the construction project, extract the index number and process stage node identifier corresponding to the node. Match the stage node numbers associated with each drawing node, identify the set of all nodes in the same process stage, and calculate the deviation between the number sequence of each node in the set and the corresponding stage sequence number to obtain the node number deviation sequence; S112: According to the node number deviation sequence, compare the relative positions of the actual connection sequence and the stage setting sequence in the drawing structure, calculate the ratio of the connection sequence difference to the number difference, judge the nodes whose ratio exceeds the offset judgment threshold and classify and mark them to generate the misordered number association intensity data; S113: Based on the mismatched number association strength data, filter out the node sets with inconsistent number offset directions in the construction process stage, record the node numbers and the sequence numbers of the corresponding stages, summarize the number differences and structural sequence offset information of each node in the process stage, and obtain the drawing node sequence consistency results.

4. The construction project construction quality management method according to claim 1, characterized in that The specific steps for obtaining the construction task entry compliance list are as follows: S211: Based on the node task items in the construction management, read the node set marked as compliant in the node sequence consistency result of the drawing, match the corresponding node numbers in the task items one by one according to the node numbers, identify the task node number items that are not in the compliant set and mark the task number, node number and stage number information, and obtain the task node violation identification record; S212: calling the violation identification record of the task node, extracting the planned entry time and the task stage sequence number in each task record, counting the planned stage number corresponding to the entry time, and comparing it with the stage number, using the formula: ； Computing task entry In the stage The schedule deviation index , generate the schedule deviation statistical result, where Represents the task entry In the stage The stage number corresponding to the planned entry time Represents the task entry The actual stage number to which it belongs Represents the duration of the task entry Is the number difference between the task entry and the stage reference node in the drawing structure Represents the node number variability; S213: Based on the progress deviation statistical results, screen all task items whose overdue offset coefficient values ​​exceed the stage entry offset threshold, extract the task number, node number, stage number and offset coefficient value of the corresponding task item, and establish a structured item list to obtain the construction task entry compliance list.

5. The construction project construction quality management method according to claim 1, characterized in that The steps for obtaining the crack pointing error section result are specifically as follows: S311: Based on the building crack direction angle data in the construction inspection record, the crack direction angle is obtained and the unit vector is converted according to the angle value, the direction vector representation of all crack points is extracted, and the representation is uniformly converted into a two-dimensional coordinate system to obtain a crack direction vector set; S312: Based on the crack direction vector set, combined with the design load direction vector of the drawing corresponding to the node number marked in the construction task entry compliance list, unit vector normalization is performed for each set of corresponding relationships, using the formula: ； Calculate the angular deviation degree between the crack direction and the load direction , and obtain the crack angular deviation data, where is the unit vector of the load direction corresponding to the th crack node, is the unit vector of the crack direction, and represent the components in the two-dimensional coordinate respectively, and the angle unit is degree system; S313: According to the crack angle deviation data, determine whether the angle value falls into the corresponding error section, mark the error section corresponding to each crack, establish a structured section distribution list, and obtain the crack pointing error section result.

6. The construction project construction quality management method according to claim 1, characterized in that The specific steps for obtaining the node inspection status hierarchical mark record are: S411: According to the angle segment category to which each crack in the crack pointing error segment result belongs, the node number information is matched, and compared with the task node number in the construction task entry compliance list, to identify whether each node has a corresponding relationship recorded in the two results, and to extract the compliance status and angle segment category information of each node, to obtain the node condition compliance matching result; S412: Based on the node condition matching result, for each node number, extract the corresponding task compliance mark and crack angle deviation classification value, assign them to binary state quantities, set judgment parameters, and perform joint operation on the binary state to determine whether the dual compliance conditions are met, using the formula: ； Calculate the structural coordination degree of the th node , determine whether it is greater than the critical value for judging the structural state, establish a classification identifier, and generate a grading mark record for the inspection status of the node. Among them, is the compliance status value of the task input. Take 1 for compliance and 0 for violation. is the status value indicating whether the crack angle deviation is within the standard range. Take 1 for standard and 0 for abnormal. represents the standard deviation value of the crack pointing deviation. represents the node connection degree. represents the frequency density value of the crack deviation type to which the node belongs. S413: Based on the structural coordination degree, determine whether each node coefficient value falls within the range of the set grading threshold segment, and classify the nodes into three categories: normal, warning, and abnormal according to the results. Perform status number identification and recording for all nodes, establish a structured node inspection classification table, and obtain the node inspection status grading mark record.

7. The construction project construction quality management method according to claim 1, characterized in that, The specific steps for obtaining the mapping result of the quality risk distribution section of the construction project are as follows: S511: According to the node inspection status grading mark record, extract the node numbers marked as abnormal status, call the corresponding standard level number and component partition number in the structural drawing of the construction project, perform node level identification and partition number extraction, establish a node distribution partition table, and obtain the abnormal node partition distribution table; S512: According to the abnormal node partition distribution table, count the number of abnormal nodes in each component partition, calculate the proportion of the number of abnormal nodes in the partition in the total number of nodes, and at the same time obtain the building area corresponding to each partition. Combine the ratio between the number of abnormal nodes and the building area to calculate the spatial distribution density of abnormal nodes in each partition, and obtain the structural partition abnormal density data; S513: According to the structural partition abnormal density data, perform number mapping processing on all building structure partitions, divide the risk sections according to the density value size, and mark the division result at the position of the construction partition number of the corresponding building structure plan, and obtain the mapping result of the quality risk distribution section of the construction project.

8. A construction project construction quality management system, characterized in that, The system is used to implement the construction project construction quality management method described in any one of claims 1-7, including: The drawing node sequence verification module is based on the structural drawing of the construction project, compares according to the process stage node sequence of the construction logic, detects whether there are out-of-order numbers and misordered associations of the nodes in the drawing, and generates the drawing node sequence consistency result; The construction task compliance detection module detects the violation items according to the drawing node sequence consistency result, and at the same time extracts the planned input time and the stage sequence of each node task, and compares whether there is a cross-stage early configuration behavior between the two, and generates a construction task input compliance list; The structural stress deviation analysis module combines the node numbers in the construction task input compliance list, counts the building crack direction angle data in the construction inspection record, compares it with the design load action direction vector, calculates the included angle difference between the crack direction and the load direction, judges the correlation between the crack direction and the structural force, and obtains the crack pointing error section result; The node inspection status evaluation module evaluates whether each node meets the conditions of task input compliance and crack direction matching based on the crack pointing error section result, marks the nodes that do not meet the conditions as abnormal nodes, and generates the node inspection status grading mark record; The quality risk section mapping module classifies and aggregates the nodes marked as abnormal according to the node inspection status grading mark record, extracts the abnormal node data and maps it to the construction partition number of the building, and generates the mapping result of the quality risk distribution section of the construction project.

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