Flooring construction scheme optimization method and system

Abstract

The present application belongs to the technical field of construction scheme optimization, and discloses a floor construction scheme optimization method and system, which comprises the following steps: performing spatial clustering and partitioning on a construction area according to base layer detection data of the construction area to obtain multiple construction subareas; determining the construction time sequence and initial construction parameters of each construction subarea according to the environmental parameter prediction of each construction subarea, the coupling relationship between the construction subareas and the local working condition; sequentially constructing according to the construction time sequence, and collecting early response signals in the construction process of each construction subarea; determining a reference subarea according to the working condition similarity between a subsequent construction subarea and a previous construction subarea; and correcting the initial construction parameters of the subsequent construction subarea according to the early response signals of the reference subarea. The present application accurately corresponds the parameters of each construction subarea to the actual working condition, and advances the quality intervention opportunity from the post-rework to the active prevention before the material hardening, thereby effectively avoiding the repeated occurrence of similar working condition subarea and similar quality problems.

Description

Technical Field

[0001] This invention relates to the field of construction scheme optimization technology, and more specifically, to a method and system for optimizing floor construction schemes. Background Technology

[0002] Large-area flooring projects are widely used in industrial plants, logistics warehouses, commercial complexes, and other scenarios, with construction areas typically ranging from several thousand to tens of thousands of square meters. The flatness of the floor and the quality of the joints directly affect subsequent safety and operational efficiency. Existing construction plans are relatively fixed: before construction, the site is divided into several zones according to a standard grid or column grid axis, and a uniform concrete mix ratio, paving thickness, and curing measures are configured for the entire site. Each zone is constructed sequentially according to a predetermined spatial order, and quality inspection is carried out after construction is completed. If problems are found, rework and repairs are carried out.

[0003] This static approach faces significant limitations in practical engineering. The moisture content, flatness, and density of the base layer often vary significantly across different locations on site. The internal conditions of zones divided by fixed geometric boundaries are uneven, making it difficult to simultaneously adapt uniform parameters to the actual working conditions at each location within a zone. This can easily lead to material redundancy or insufficient quality in certain areas. More importantly, before the concrete hardens, completed zones exhibit observable phenomena such as setting speed, surface bleeding, and edge cracks. These phenomena reflect the matching of current construction parameters with actual working conditions and have direct reference value for subsequent zones with similar conditions. However, current technology lacks a mechanism to utilize this information. Once parameter deviations occur, they are repeatedly observed in subsequent similar zones, requiring post-construction adjustments, making it difficult to effectively control project costs and quality risks. Summary of the Invention

[0004] To overcome the aforementioned problems in the prior art, this invention proposes a method and system for optimizing floor construction schemes, which is used to solve the above problems.

[0005] This invention provides the following technical solution: An optimization method for floor construction schemes includes: Based on the base layer detection data of the construction area, the construction area is spatially clustered and partitioned to obtain multiple construction zones; Based on the predicted environmental parameters of each construction zone, the coupling relationship between construction zones, and the local working conditions of each construction zone, the construction sequence and initial construction parameters of each construction zone are determined. Construction was carried out in each construction zone according to the construction sequence, and the early response signal of each construction zone was collected during the construction process. Based on the degree of similarity between the working conditions of subsequent construction zones and previous construction zones, the previous construction zones whose working condition similarity meets the preset conditions are determined as reference zones; The initial construction parameters of subsequent construction zones are corrected based on the early response signals of the reference zone to obtain the corrected construction parameters.

[0006] Preferably, the spatial clustering and partitioning of the construction area to obtain multiple construction partitions includes: Obtain flatness deviation, moisture content and density data of each grid point in the construction area, and weight and merge the three types of data to obtain the comprehensive base condition value of each grid point; Based on the comprehensive base condition value of each grid point, spatially connected grid points with similar comprehensive base condition values ​​are grouped into the same construction zone, and the number of zones is determined by the uniformity of condition within the zone as the evaluation criterion. The cluster boundaries are adjusted to the building structure expansion joints or column grid axes. For construction zones that do not meet the construction feasibility constraints, the boundaries are adjusted to obtain multiple construction zones.

[0007] Preferably, the method for determining the construction sequence includes: Based on the prediction of environmental parameters in the construction area, calculate the environmental suitability score of each construction zone at each time period; Identify the construction coupling effects between adjacent construction zones and determine the safe construction intervals for each adjacent construction zone; Using environmental suitability score and total construction period as optimization objectives, and safe construction interval and construction constraints as constraints, the construction sequence of each construction zone is determined through optimization solution.

[0008] Preferably, the method for determining the initial construction parameters includes: Based on the base layer moisture content of each construction zone, the ambient temperature and humidity during the planned construction period, the water-cement ratio of each construction zone is determined according to the preset adjustment rules. The water-cement ratio decreases as the base layer moisture content increases, decreases as the ambient humidity increases, and increases as the ambient temperature increases, and is limited to the preset safety range. The laying thickness of each construction zone is determined based on the flatness deviation of each grid point; The maintenance measure level is determined based on the quality risk score of each construction zone; the higher the quality risk score of a zone, the higher the maintenance measure level. The water-cement ratio, laying thickness, and curing level together constitute the initial construction parameters for each construction zone.

[0009] Preferably, the early response signals include condensation time, surface bleeding, and edge microcrack conditions; Among them, setting time is the time interval from the completion of pouring to the time when the concrete surface can be finished. There is a preset normal range for setting time. A setting time that deviates from the preset normal range indicates that the current construction parameters are different from the actual working conditions. Surface bleeding is the average value of the free water per unit area on the surface measured at multiple representative locations within the construction zone at a preset time after pouring. Edge microcracks are the width and distribution of cracks obtained by inspecting the edges of the construction zone within a preset time after pouring.

[0010] Preferably, determining the preceding construction zone as a reference zone based on the degree of similarity between the subsequent construction zone and the preceding construction zone, where the degree of similarity in working conditions meets preset conditions, includes: The base condition parameters and environmental condition parameters of the planned construction period for each construction zone are quantitatively characterized as working condition features. Calculate the similarity between the working condition characteristics of subsequent construction zones and each preceding construction zone; The preceding construction zones with a similarity level not lower than a preset threshold are designated as reference zones.

[0011] Preferably, the step of quantifying and characterizing the base layer state parameters and environmental condition parameters of the planned construction period for each construction zone into working condition characteristics includes: The average base moisture content, the dispersion of base flatness, the expected temperature during the planned construction period, the expected humidity during the planned construction period, and the quality risk score of each construction zone are normalized and then spliced ​​together to form a working condition feature vector. The calculation of the similarity between the working condition characteristics of subsequent construction zones and each preceding construction zone is to calculate the vector similarity between the working condition characteristic vectors of the two.

[0012] Preferably, the step of correcting the initial construction parameters of subsequent construction zones based on the early response signal of the reference zone includes: Based on the deviation of the setting time of the reference zone from the normal range and the relationship between the surface bleeding amount and the preset bleeding threshold, the water-solid ratio of the subsequent construction zone is corrected, and the corrected water-solid ratio is limited to the preset safe range. Based on the microcrack conditions at the edge of the reference zone and the actual construction environment of the reference zone, the maintenance measures level and construction joint treatment method of the subsequent construction zones are corrected. When microcracks at the edge exceed the threshold and the actual construction environment of the reference zone is not conducive to the retention of moisture on the concrete surface, the maintenance measures level is increased to obtain the corrected construction parameters.

[0013] Preferably, the step of correcting the water-to-solid ratio of subsequent construction zones based on the deviation of the setting time of the reference zone from the normal range and the relationship between the surface bleeding amount and the preset bleeding threshold includes: If the setting time is shorter than the lower limit of the normal range, the water-solid ratio of the subsequent construction zone will be increased according to the preset adjustment rules. If the setting time is longer than the upper limit of the normal range, the water-solid ratio of the subsequent construction zone will be reduced according to the preset adjustment rules. When the surface bleeding exceeds the preset bleeding threshold, the water-solid ratio of the subsequent construction zone will be reduced according to the preset adjustment rules.

[0014] This invention also provides a floor construction scheme optimization system for implementing a floor construction scheme optimization method, comprising: The partition generation module is used to perform spatial clustering and partitioning of the construction area based on the base layer detection data of the construction area, resulting in multiple construction partitions; The scheme configuration module is used to determine the construction sequence and initial construction parameters of each construction zone based on the predicted environmental parameters of each construction zone, the coupling relationship between construction zones, and the local working conditions of each construction zone. The signal acquisition module is used to carry out construction on each construction zone in sequence according to the construction timeline, and to acquire the early response signal of each construction zone during the construction process. The reference partition determination module is used to determine the preceding construction partition as the reference partition based on the degree of similarity between the subsequent construction partition and the preceding construction partition, and the preceding construction partition whose degree of similarity with the work conditions meets the preset conditions. The parameter correction module is used to correct the initial construction parameters of subsequent construction zones based on the early response signal of the reference zone, so as to obtain the corrected construction parameters.

[0015] This invention provides a method and system for optimizing floor construction schemes, which has the following beneficial effects: This invention spatially clusters and partitions the base layer testing data of the construction area, and configures construction parameters according to the local working conditions of each partition. This ensures that the base layer conditions within the same partition are highly consistent, and the construction parameters of each partition accurately correspond to the actual working conditions. This fundamentally solves the problem in the prior art where fixed geometric partitions lead to significant differences in conditions within the partitions, and uniform parameters are difficult to adapt to local working conditions. Furthermore, during the sequential partition construction process, based on the early response signals of the already constructed partitions before the concrete hardens, subsequent partitions with similar working conditions are identified, and their construction parameters are preventively corrected. This advances the timing of quality intervention from post-construction rework to proactive prevention before the material hardens, effectively avoiding the recurrence of the same quality problems in partitions with similar working conditions.

[0016] This invention diagnoses deviations in setting time from the normal range and the relationship between surface bleeding and a preset bleeding threshold in constructed zones, identifying two different causes: deviations in hydration rate and excessively high actual effective water-to-solid ratio. Based on this, the water-to-solid ratio of subsequent similar zones is specifically corrected. Simultaneously, the level of maintenance measures and the treatment method of construction joints are corrected according to the condition of edge microcracks and the actual construction environment. The three types of early response signals each point to different types of parameter deviations, providing clear correction directions and making parameter adjustments based on evidence rather than empirical estimations, significantly improving the accuracy and effectiveness of dynamic correction. Attached Figure Description

[0017] Figure 1 This is a flowchart illustrating an optimization method for floor construction according to the present invention. Figure 2 This is a schematic diagram of a floor construction scheme optimization system according to the present invention. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. Example 1

[0019] Please see Figure 1 In this embodiment, an optimization method for floor construction includes: S1. Based on the base layer inspection data of the construction area, the construction area is spatially clustered and partitioned to obtain multiple construction zones; The spatial clustering and partitioning of the construction area yields multiple construction partitions, including: Obtain flatness deviation, moisture content and density data of each grid point in the construction area, and weight and merge the three types of data to obtain the comprehensive base condition value of each grid point; Based on the comprehensive base condition value of each grid point, spatially connected grid points with similar comprehensive base condition values ​​are grouped into the same construction zone, and the number of zones is determined by the uniformity of condition within the zone as the evaluation criterion. The cluster boundaries are adjusted to the building structure expansion joints or column grid axes. For construction zones that do not meet the construction feasibility constraints, the boundaries are adjusted to obtain multiple construction zones.

[0020] In this embodiment, taking an industrial plant flooring project as an example, the total construction area is 12,000 square meters. Before construction, a full-coverage base layer test was conducted on the 12,000 square meter construction area. Flatness deviation was obtained using a laser scanner with gridded scanning. Each grid point recorded the difference between the measured elevation and the design reference surface; a positive value indicated elevation above the reference surface, and a negative value indicated elevation below the reference surface. Moisture content and density were sampled using sparse sampling. In this example, one measuring point was arranged every 25 square meters, and data were collected using a resistance moisture meter and a rebound hammer, resulting in 480 measuring point data points. Since the moisture content and density data were collected using sparse sampling points, they needed to be expanded to a full-coverage grid with the same resolution as the flatness data before merging and calculating. This expansion could be done using spatial interpolation; in this example, an inverse distance weighting method was used: the value of the grid point to be estimated was obtained by weighted averaging of the values ​​of the surrounding measured points. The weight was the reciprocal of the distance between each measuring point and the point to be estimated; the closer the distance, the higher the weight.

[0021] After expanding the three types of data to a full-coverage grid, normalization was performed to eliminate dimensional differences—the value of each grid point in each data type was subtracted from the global mean of that data type, and then divided by the global standard deviation. When normalizing the flatness deviation, the absolute value was used, because regardless of whether it was too high or too low, a larger absolute value of the deviation indicated a worse base layer condition. After normalization, a weighted sum was obtained to obtain the comprehensive base layer condition value; a higher value indicated a worse base layer condition at that location. The weights were determined based on the degree of influence of each parameter on construction quality. Flatness deviation directly determines the required leveling layer thickness; in this example, the weight was 0.5. The moisture content's effect on the water-solid ratio was set at 0.3, and the density's effect was relatively small, so it was set at 0.2. These weights can be adjusted appropriately according to the project type.

[0022] Clustering is based on the comprehensive base layer condition value. Grid points with similar values ​​and spatial connectivity are grouped into the same construction zone. The smaller the variance of the comprehensive base layer condition value within a zone, the more consistent the base layer conditions within that zone. The number of zones is traversed within a preset range, and the zone with the smallest sum of variances is selected. The range is determined as follows: the lower limit considers material supply capacity; in this example, the daily material supply is approximately 3000 square meters. Too few zones would result in excessively large single-zone areas, so the lower limit is set at 6. The upper limit is based on the minimum construction joint spacing and minimum equipment operating area specified in the standards, so the upper limit is set at 24.

[0023] For each candidate number of partitions, a region growing method is used for clustering: an equal number of seed points are evenly selected within the construction area according to the target number of partitions. Each seed point expands outwards to surrounding grid points, and the allowable range for expansion is automatically determined by binary search—gradually adjusting the allowable range so that the number of partitions generated by the clustering result is exactly equal to the current number of candidates. Specifically, when the allowable range is large, clustering tends to merge, resulting in fewer partitions; when the allowable range is small, clustering tends to split, resulting in more partitions. The binary search finds the allowable range between these two extremes, ensuring the number of partitions reaches the target value. In this way, clustering is performed for 6 to 24 candidate partition numbers. The sum of the variances within each partition is compared, and the number of partitions with the smallest sum of variance and the corresponding clustering result are selected. In this example, 12 construction partitions were ultimately identified.

[0024] The boundaries of the clustered partitions need to be adjusted to the nearest building structure expansion joints or column grid axes, ensuring that construction joints fall at structural nodes. After adjustment, construction feasibility should be verified: partitions exceeding the material supply limit should be split; partitions too small to meet the minimum construction joint spacing specifications should be merged with adjacent partitions. Simultaneously, it should be confirmed that the laser leveling machine can smoothly enter and exit each partition; for partitions where the travel path does not meet the equipment's turning radius, local boundary corrections should be made. Upon completion, output the boundary coordinates and adjacency table for each construction partition for subsequent steps.

[0025] S2. Based on the predicted environmental parameters of each construction zone, the coupling relationship between construction zones, and the local working conditions of each construction zone, determine the construction sequence and initial construction parameters of each construction zone. The method for determining the construction sequence includes: Based on the prediction of environmental parameters in the construction area, calculate the environmental suitability score of each construction zone at each time period; Identify the construction coupling effects between adjacent construction zones and determine the safe construction intervals for each adjacent construction zone; Using environmental suitability score and total construction period as optimization objectives, and safe construction interval and construction constraints as constraints, the construction sequence of each construction zone is determined through optimization solution.

[0026] The method for determining the initial construction parameters includes: Based on the base layer moisture content of each construction zone, the ambient temperature and humidity during the planned construction period, the water-cement ratio of each construction zone is determined according to the preset adjustment rules. The water-cement ratio decreases as the base layer moisture content increases, decreases as the ambient humidity increases, and increases as the ambient temperature increases, and is limited to the preset safety range. The laying thickness of each construction zone is determined based on the flatness deviation of each grid point; The maintenance measure level is determined based on the quality risk score of each construction zone; the higher the quality risk score of a zone, the higher the maintenance measure level. The water-cement ratio, laying thickness, and curing level together constitute the initial construction parameters for each construction zone.

[0027] In this embodiment, it should be noted that, based on the measured data of temperature and humidity sensors in the construction area and the weather forecast for the next 15 days, the temperature and humidity of each construction zone during the construction planning period are predicted.

[0028] Concrete floor construction has a suitable temperature and humidity range, in this example 15 to 30 degrees Celsius and 50% to 80% relative humidity. The environmental suitability score for each time period reflects the degree to which environmental conditions support construction quality during that period, and can be calculated as follows: the temperature score starts at the center of the suitable range of 22.5 degrees Celsius with a maximum score of 1.0, decreasing linearly towards both boundaries, dropping to 0.6 at the boundaries of 15 degrees Celsius and 30 degrees Celsius, and zero below 10 degrees Celsius or above 32 degrees Celsius; the humidity score starts at 65% with a maximum score, dropping to 0.6 at the boundaries of 50% and 80%, and zero outside the boundaries; the overall suitability score is the product of the two scores. The product is used instead of the sum because a significant deviation of any parameter will result in a substantial drop in the overall score. For example, if the temperature is suitable but the humidity is extremely low, the product can reasonably reflect the actual situation of a higher overall risk to construction quality. The suitability score is calculated hourly for each of the 12 construction zones to identify the optimal construction time for each zone.

[0029] The construction coupling effects between adjacent construction zones need to be identified pairwise. Interference from earlier construction zones to later zones arises from three aspects: load disturbance caused by construction starting nearby before sufficient strength is achieved; moisture spreading from a zone with high moisture content to adjacent zones after construction; and cracks extending from a zone at risk of cracking to adjacent zones after construction. The safe interval for load disturbance is estimated based on the concrete strength growth curve, using the time required to reach 50% of the design strength as a reference. Under standard curing conditions of 20 degrees Celsius, this is approximately 3 days, increasing by about 0.5 days for every 5 degrees Celsius decrease in temperature. This estimate is derived from the relationship between strength growth and temperature in relevant specifications. The safe interval for moisture propagation is related to the centroid distance between the two zones and the difference in moisture content. Based on the diffusion rate of moisture in the foundation soil, when the centroid distance is within 5 meters and the moisture content difference exceeds 3 percentage points, the safe interval is usually no more than 12 hours. This can be adjusted through statistical analysis of data from similar previous projects or verification of test sections. The safe interval for crack propagation is determined based on the quality risk score of the previously constructed zone. In this example, a score exceeding 0.7 is used as the criterion for high crack risk, corresponding to a safe interval of 7 days. This threshold and interval duration are calibrated based on historical project data on crack development in high-risk zones and can be adjusted as projects accumulate. For each pair of adjacent zones, the longest safe interval among the three types of impacts is taken as the safe construction interval for that zone.

[0030] The primary objective is to maximize the weighted sum of suitability scores for the actual construction period of each construction zone, with the secondary objective being to minimize the total construction period. Constraints include ensuring that the suitability score of each zone is not lower than a preset lower limit, the start time difference between adjacent zones is not less than the safe construction interval, and the number of construction zones simultaneously does not exceed two work teams. The solution uses the construction sequence and start time of each zone as decision variables. Optimization can employ a genetic algorithm, using the arrangement of the construction sequence of each zone as chromosome encoding. Individuals that do not meet the constraints are directly eliminated. Selection, crossover, and mutation iterations are performed using the objective function value as the fitness metric. The population size can be 10 times the number of zones, iterating until the objective function converges. In this example, after optimization, zones with higher quality risks and whose environmental conditions are expected to deteriorate in the near future are prioritized and construction is completed within the current favorable environmental window.

[0031] Once the construction sequence is determined, the planned construction period for each zone is also determined, and initial construction parameters are configured for each zone accordingly.

[0032] The water-to-solids ratio (HSR) is the mass ratio of water to curing material in flooring materials; in cement-based concrete floors, it is the ratio of water to cement. The HSR is adjusted based on the actual conditions of each zone, using the standard working condition as a benchmark. When the base layer moisture content is higher than the standard working condition, water will continuously seep into the newly poured material, causing the actual effective HSR to be higher than the design value; therefore, the HSR in the mix proportion needs to be reduced accordingly. High ambient humidity slows down surface moisture evaporation, also resulting in a higher effective HSR, which also needs to be reduced. High ambient temperature accelerates evaporation, leading to a lower effective HSR, which needs to be increased. The adjustment amounts for each factor can be calculated using linear rules. In this example, for every 1 percentage point increase in base layer moisture content above the reference value, the HSR decreases by 0.015; for every 1 percentage point increase in ambient humidity above the reference value, the HSR decreases by 0.008; and for every 1 degree Celsius increase in ambient temperature above the reference value, the HSR increases by 0.002. The adjustment coefficients are determined based on regression fitting of historical project data, with initial values ​​determined by referring to the conversion relationships for relevant working conditions in the specifications. The adjustments of the three factors are algebraically summed and added to the baseline water-solid ratio, and limited to a safe range of 0.45 to 0.55. If the ratio is exceeded, it is truncated to the boundary value and the construction personnel are prompted to pre-treat the base layer.

[0033] The paving thickness at each location is equal to the design reference thickness minus the flatness deviation value at that location, plus a safety margin. The paving thickness increases when the base layer is lower than the reference surface and decreases when it is higher than the reference surface. The safety margin ensures that the thinnest point is not lower than the minimum allowable thickness specified in the standard; in this example, it is 5 mm. The paving thickness at each grid point constitutes the paving thickness distribution map for that zone, guiding the elevation control of the laser screed.

[0034] The zonal quality risk score is determined by the average of the comprehensive base layer condition values ​​for each zone and the insufficient average suitability score during the planned construction period. For example, the weighted sum of the two scores is used; a higher score indicates a higher risk. Curing levels are configured based on the quality risk score: conventional curing (covered with curing cloth, watered every 12 hours for 7 days) is used for scores below 0.4; standard curing (single-layer film, watered every 8 hours for 7 days) is used for scores between 0.4 and 0.7; and high-intensity curing (double-layer film, watered every 4 hours for 10 days) is used for scores above 0.7. The thresholds of 0.4 and 0.7 are calculated based on the optimized curing trigger conditions in the high-temperature and low-temperature concrete construction specifications and can be gradually calibrated based on subsequent project quality data.

[0035] S3. Carry out construction on each construction zone in sequence according to the construction schedule, and collect the early response signal of each construction zone during the construction process. The early response signals include condensation time, surface water bleeding, and edge microcrack conditions; Among them, setting time is the time interval from the completion of pouring to the time when the concrete surface can be finished. There is a preset normal range for setting time. A setting time that deviates from the preset normal range indicates that the current construction parameters are different from the actual working conditions. Surface bleeding is the average value of the free water per unit area on the surface measured at multiple representative locations within the construction zone at a preset time after pouring. Edge microcracks are the width and distribution of cracks obtained by inspecting the edges of the construction zone within a preset time after pouring.

[0036] In this embodiment, the pouring operations for each zone are carried out sequentially according to the construction timeline. After the pouring of each zone is completed, three types of early response signals are continuously collected before the material hardens, which serve as the basis for judging whether the current construction parameters match the actual working conditions.

[0037] Setting time is started from the moment of completion of pouring. The surface condition is checked every 30 minutes, and the difference between the moment when the first finishing operation can be performed and the moment of completion of pouring is recorded. The normal range is determined through laboratory testing before construction based on the material formulation and admixture type used; in this example, it is 4 to 6 hours. A setting time that is too short usually corresponds to a higher actual construction temperature or less effective moisture, while a setting time that is too long usually corresponds to a lower temperature or abnormal admixture. These two situations correspond to different parameter adjustment directions, which will be corrected accordingly in subsequent steps.

[0038] Surface water bleeding was collected 1 hour after pouring. Three locations were evenly selected within the zone, and a pre-weighed absorbent paper (approximately 400 square centimeters in area) was placed at each location. After 5 minutes of settling, the paper was removed and weighed. The water bleeding per unit area was calculated by dividing the weight increase by the area of ​​the absorbent paper, and the average of the three measurements was taken. The water bleeding threshold was determined through laboratory testing based on the material formulation; in this example, it was set at 75 ml per square meter. A value exceeding this indicates excessive free water in the material and a high effective water-to-solid ratio.

[0039] One hour and two hours after pouring, inspect the edges of each zone, using crack observation cards to compare and determine crack widths, recording the presence and location of cracks exceeding 0.05 mm. Crack observation cards are transparent plastic cards marked with standard crack width scales, and are commonly used tools on construction sites. Micro-cracks appearing at this stage are usually caused by excessively low ambient humidity or high wind speeds leading to rapid surface water loss, and are one of the criteria for adjusting the subsequent curing level.

[0040] S4. Based on the degree of similarity between the working conditions of the subsequent construction zones and the preceding construction zones, the preceding construction zones whose working condition similarity meets the preset conditions are determined as reference zones. The step of determining the preceding construction zone as a reference zone based on the degree of similarity between the subsequent construction zone and the preceding construction zone, where the degree of similarity between the construction zones meets preset conditions, includes: The base condition parameters and environmental condition parameters of the planned construction period for each construction zone are quantitatively characterized as working condition features. Calculate the similarity between the working condition characteristics of subsequent construction zones and each preceding construction zone; The preceding construction zones with a similarity level not lower than a preset threshold are designated as reference zones.

[0041] The quantitative characterization of the base layer state parameters and environmental condition parameters for the planned construction period of each construction zone into working condition characteristics includes: The average base moisture content, the dispersion of base flatness, the expected temperature during the planned construction period, the expected humidity during the planned construction period, and the quality risk score of each construction zone are normalized and then spliced ​​together to form a working condition feature vector. The calculation of the similarity between the working condition characteristics of subsequent construction zones and each preceding construction zone is to calculate the vector similarity between the working condition characteristic vectors of the two.

[0042] In this embodiment, it should be noted that after each partition completes the early response signal acquisition, a similarity analysis of the operating conditions is immediately performed on the subsequent partitions that have not yet been constructed, to identify the subsequent partitions whose operating conditions are closest to those of the currently constructed partitions. Partitions with similar operating conditions are more likely to encounter the same type of parameter deviation when using the same construction parameters, and the response anomalies exposed by the constructed partitions have early warning value for these partitions.

[0043] The working condition characteristics of each zone can be composed of base layer condition data and environmental data during the planned construction period. In this example, five dimensions are taken: mean base layer moisture content, standard deviation of base layer flatness, expected temperature during the planned construction period, expected humidity, and zone quality risk score. These are normalized and then concatenated into a working condition feature vector. The selection of dimensions for working condition characteristics can be appropriately increased or decreased according to the characteristics of the project.

[0044] The similarity between the feature vectors of two partitions can be measured using methods such as cosine similarity and Euclidean distance. In this example, cosine similarity is used, which is calculated by dividing the dot product of the two vectors by the product of their magnitudes. The closer the result is to 1, the more similar the working conditions are. A threshold of 0.7 is used, and the preceding partition that reaches this value is determined as the reference partition. This threshold is based on historical project data and can be adjusted according to project experience.

[0045] S5. Based on the early response signal of the reference zone, the initial construction parameters of the subsequent construction zones are corrected to obtain the corrected construction parameters.

[0046] The correction of the initial construction parameters of subsequent construction zones based on the early response signal of the reference zone includes: Based on the deviation of the setting time of the reference zone from the normal range and the relationship between the surface bleeding amount and the preset bleeding threshold, the water-solid ratio of the subsequent construction zone is corrected, and the corrected water-solid ratio is limited to the preset safe range. Based on the microcrack conditions at the edge of the reference zone and the actual construction environment of the reference zone, the maintenance measures level and construction joint treatment method of the subsequent construction zones are corrected. When microcracks at the edge exceed the threshold and the actual construction environment of the reference zone is not conducive to the retention of moisture on the concrete surface, the maintenance measures level is increased to obtain the corrected construction parameters.

[0047] The process of correcting the water-to-solid ratio of subsequent construction zones based on the deviation of the setting time of the reference zone from the normal range and the relationship between the surface bleeding amount and the preset bleeding threshold includes: If the setting time is shorter than the lower limit of the normal range, the water-solid ratio of the subsequent construction zone will be increased according to the preset adjustment rules. If the setting time is longer than the upper limit of the normal range, the water-solid ratio of the subsequent construction zone will be reduced according to the preset adjustment rules. When the surface bleeding exceeds the preset bleeding threshold, the water-solid ratio of the subsequent construction zone will be reduced according to the preset adjustment rules.

[0048] In this embodiment, after determining the reference zone, the construction parameters of subsequent zones with similar working conditions are preventively corrected based on its three types of early response signals. Intervention is completed before the material hardens to avoid the recurrence of similar problems in subsequent zones.

[0049] If the setting time is less than the normal lower limit by 4 hours, it indicates that hydration is too rapid and the effective water-to-solid ratio may be too low. The water-to-solid ratio for subsequent zones will be increased from the initial value. If the setting time is longer than the normal upper limit by 6 hours, it indicates that hydration is too slow, and the water-to-solid ratio will be decreased. When surface bleeding exceeds 75 ml / m², the water-to-solid ratio will be decreased regardless of whether the setting time is abnormal. The two adjustments are algebraically added together. The adjustment range is determined according to the degree of deviation: 0.02 for setting time deviation from the normal range within 1 hour, and 0.03 for deviation exceeding 1 hour; 0.01 for bleeding exceeding the threshold within 10 ml / m², and 0.02 for deviation exceeding 20 ml / m². The above grading standards are based on historical project data and initially determined with reference to the mix proportion adjustment suggestions for different working conditions in the specifications. After adjustment, the water-to-solid ratio is limited to a safe range of 0.45 to 0.55. If it exceeds this range, it will be cut off to the boundary value, and the construction personnel will be notified.

[0050] If a reference zone has microcracks at the edge with a width exceeding 0.05 mm, and the actual construction environment has a humidity of less than 50% or a wind speed exceeding level 4, the maintenance measures for subsequent similar zones will be upgraded by one level based on the initial configuration. For example, steel mesh will be added to the construction joint for crack resistance, and the time for starting the covering and curing will be advanced to within 30 minutes after the pouring is completed.

[0051] Multiple reference zones may exist simultaneously for a given zone. The direction is determined by the sign of the adjustment amount of each reference zone to the water-solid ratio of the subsequent zone—adjustments with the same sign (both positive or both negative) are considered consistent in direction, while those with different signs are considered inconsistent. When the directions are consistent, the adjustment amounts of each reference zone are weighted and averaged based on the similarity of working conditions between each reference zone and the subsequent zone before correction. When the directions are inconsistent, the reference zone with the highest working condition similarity is used as the primary reference, and the corresponding adjustment amount is reduced to 50% before correction. Furthermore, the collection of water seepage data for that subsequent zone is moved from 1 hour after pouring to 30 minutes to detect anomalies earlier. The above retrieval and correction are triggered once after the completion of construction in each zone, and the correction results are applied to subsequent zones that have not yet been constructed. Example 2

[0052] Please see Figure 2 This invention provides a floor construction scheme optimization system for implementing a floor construction scheme optimization method, comprising: The partition generation module is used to perform spatial clustering and partitioning of the construction area based on the base layer detection data of the construction area, resulting in multiple construction partitions; The scheme configuration module is used to determine the construction sequence and initial construction parameters of each construction zone based on the predicted environmental parameters of each construction zone, the coupling relationship between construction zones, and the local working conditions of each construction zone. The signal acquisition module is used to carry out construction on each construction zone in sequence according to the construction timeline, and to acquire the early response signal of each construction zone during the construction process. The reference partition determination module is used to determine the preceding construction partition as the reference partition based on the degree of similarity between the subsequent construction partition and the preceding construction partition, and the preceding construction partition whose degree of similarity with the work conditions meets the preset conditions. The parameter correction module is used to correct the initial construction parameters of subsequent construction zones based on the early response signal of the reference zone, so as to obtain the corrected construction parameters.

[0053] In the several embodiments provided by this invention, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only one method, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0054] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention.

[0055] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for optimizing floor construction schemes, characterized in that, include: Based on the base layer detection data of the construction area, the construction area is spatially clustered and partitioned to obtain multiple construction zones; Based on the predicted environmental parameters of each construction zone, the coupling relationship between construction zones, and the local working conditions of each construction zone, the construction sequence and initial construction parameters of each construction zone are determined. Construction was carried out in each construction zone according to the construction sequence, and the early response signal of each construction zone was collected during the construction process. Based on the degree of similarity between the working conditions of subsequent construction zones and previous construction zones, the previous construction zones whose working condition similarity meets the preset conditions are determined as reference zones; The initial construction parameters of subsequent construction zones are corrected based on the early response signals of the reference zone to obtain the corrected construction parameters.

2. The method for optimizing a floor construction scheme according to claim 1, characterized in that, The spatial clustering and partitioning of the construction area yields multiple construction partitions, including: Obtain flatness deviation, moisture content and density data of each grid point in the construction area, and weight and merge the three types of data to obtain the comprehensive base condition value of each grid point; Based on the comprehensive base condition value of each grid point, spatially connected grid points with similar comprehensive base condition values ​​are grouped into the same construction zone, and the number of zones is determined by the uniformity of condition within the zone as the evaluation criterion. The cluster boundaries are adjusted to the building structure expansion joints or column grid axes. For construction zones that do not meet the construction feasibility constraints, the boundaries are adjusted to obtain multiple construction zones.

3. The method for optimizing a floor construction scheme according to claim 1, characterized in that, The method for determining the construction sequence includes: Based on the prediction of environmental parameters in the construction area, calculate the environmental suitability score of each construction zone at each time period; Identify the construction coupling effects between adjacent construction zones and determine the safe construction intervals for each adjacent construction zone; Using environmental suitability score and total construction period as optimization objectives, and safe construction interval and construction constraints as constraints, the construction sequence of each construction zone is determined through optimization solution.

4. The method for optimizing a floor construction scheme according to claim 1, characterized in that, The method for determining the initial construction parameters includes: Based on the base layer moisture content of each construction zone, the ambient temperature and humidity during the planned construction period, the water-cement ratio of each construction zone is determined according to the preset adjustment rules. The water-cement ratio decreases as the base layer moisture content increases, decreases as the ambient humidity increases, and increases as the ambient temperature increases, and is limited to the preset safety range. The laying thickness of each construction zone is determined based on the flatness deviation of each grid point; The maintenance measure level is determined based on the quality risk score of each construction zone; the higher the quality risk score of a zone, the higher the maintenance measure level. The water-cement ratio, laying thickness, and curing level together constitute the initial construction parameters for each construction zone.

5. The method for optimizing a floor construction scheme according to claim 1, characterized in that, The early response signals include condensation time, surface water bleeding, and edge microcrack conditions; Among them, setting time is the time interval from the completion of pouring to the time when the concrete surface can be finished. There is a preset normal range for setting time. A setting time that deviates from the preset normal range indicates that the current construction parameters are different from the actual working conditions. Surface bleeding is the average value of the free water per unit area on the surface measured at multiple representative locations within the construction zone at a preset time after pouring. Edge microcracks are the width and distribution of cracks obtained by inspecting the edges of the construction zone within a preset time after pouring.

6. The method for optimizing a floor construction scheme according to claim 1, characterized in that, The step of determining the preceding construction zone as a reference zone based on the degree of similarity between the subsequent construction zone and the preceding construction zone, where the degree of similarity between the construction zones meets preset conditions, includes: The base condition parameters and environmental condition parameters of the planned construction period for each construction zone are quantitatively characterized as working condition features. Calculate the similarity between the working condition characteristics of subsequent construction zones and each preceding construction zone; The preceding construction zones with a similarity level not lower than a preset threshold are designated as reference zones.

7. The method for optimizing a floor construction scheme according to claim 6, characterized in that, The quantitative characterization of the base layer state parameters and environmental condition parameters for the planned construction period of each construction zone into working condition characteristics includes: The average base moisture content, the dispersion of base flatness, the expected temperature during the planned construction period, the expected humidity during the planned construction period, and the quality risk score of each construction zone are normalized and then spliced ​​together to form a working condition feature vector. The calculation of the similarity between the working condition characteristics of subsequent construction zones and each preceding construction zone is to calculate the vector similarity between the working condition characteristic vectors of the two.

8. The method for optimizing a floor construction scheme according to claim 1, characterized in that, The correction of the initial construction parameters of subsequent construction zones based on the early response signal of the reference zone includes: Based on the deviation of the setting time of the reference zone from the normal range and the relationship between the surface bleeding amount and the preset bleeding threshold, the water-solid ratio of the subsequent construction zone is corrected, and the corrected water-solid ratio is limited to the preset safe range. Based on the microcrack conditions at the edge of the reference zone and the actual construction environment of the reference zone, the maintenance measures level and construction joint treatment method of the subsequent construction zones are corrected. When microcracks at the edge exceed the threshold and the actual construction environment of the reference zone is not conducive to the retention of moisture on the concrete surface, the maintenance measures level is increased to obtain the corrected construction parameters.

9. The method for optimizing a floor construction scheme according to claim 8, characterized in that, The process of correcting the water-to-solid ratio of subsequent construction zones based on the deviation of the setting time of the reference zone from the normal range and the relationship between the surface bleeding amount and the preset bleeding threshold includes: If the setting time is shorter than the lower limit of the normal range, the water-solid ratio of the subsequent construction zone will be increased according to the preset adjustment rules. If the setting time is longer than the upper limit of the normal range, the water-solid ratio of the subsequent construction zone will be reduced according to the preset adjustment rules. When the surface bleeding exceeds the preset bleeding threshold, the water-solid ratio of the subsequent construction zone will be reduced according to the preset adjustment rules.

10. A floor construction scheme optimization system, used to implement the floor construction scheme optimization method as described in any one of claims 1-9, characterized in that, include: The partition generation module is used to perform spatial clustering and partitioning of the construction area based on the base layer detection data of the construction area, resulting in multiple construction partitions; The scheme configuration module is used to determine the construction sequence and initial construction parameters of each construction zone based on the predicted environmental parameters of each construction zone, the coupling relationship between construction zones, and the local working conditions of each construction zone. The signal acquisition module is used to carry out construction on each construction zone in sequence according to the construction timeline, and to acquire the early response signal of each construction zone during the construction process. The reference partition determination module is used to determine the preceding construction partition as the reference partition based on the degree of similarity between the subsequent construction partition and the preceding construction partition, and the preceding construction partition whose degree of similarity with the work conditions meets the preset conditions. The parameter correction module is used to correct the initial construction parameters of subsequent construction zones based on the early response signal of the reference zone, so as to obtain the corrected construction parameters.

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