A method and system for optimizing a concrete reference mix ratio
By analyzing the status of points and updating the data of the construction model, the benchmark mix ratio of concrete at unpoured points was optimized, solving the problem of inaccurate mix ratio caused by the complexity of the construction scenario, and realizing dynamic adjustment and optimization during the construction process.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHANDONG TIEGONG TECH CO LTD
- Filing Date
- 2025-07-25
- Publication Date
- 2026-06-05
Smart Images
Figure CN120877990B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of concrete technology, and in particular to a method and system for optimizing the benchmark mix proportion of concrete. Background Technology
[0002] In existing construction processes based on concrete reference mix proportions, it is impossible to accurately determine the concrete reference mix proportion in complex building construction scenarios. Moreover, as the actual construction scenario changes, it is also impossible to clearly know whether the current concrete reference mix proportion is appropriate, which leads to the concrete reference mix proportion scheme failing to meet construction requirements. Summary of the Invention
[0003] In view of the shortcomings of the prior art described above, the purpose of this invention is to provide a method and system for optimizing concrete reference mix proportions, which solves the problem that the existing technology cannot accurately determine the concrete reference mix proportion in complex construction scenarios, and that it is also impossible to clearly know whether the current concrete reference mix proportion is appropriate as the actual construction scenario changes, thus leading to the concrete reference mix proportion scheme failing to meet construction requirements.
[0004] To achieve the above and other related objectives, this invention provides a method for optimizing concrete reference mix proportions, comprising: acquiring a construction model and its pouring design points, wherein the pouring design points include poured points and unpoured points; performing point status analysis on each pouring design point to obtain an initial mix proportion; generating a pouring model matching the pouring design points based on the initial mix proportion; sequentially adding the pouring model to the construction model to generate a reference mix proportion model; acquiring actual pouring data of the poured points at the pouring site; and updating the pouring model in the reference mix proportion model based on the actual pouring data and the construction model to optimize the concrete reference mix proportions corresponding to the unpoured points.
[0005] In one embodiment of the present invention, a point status analysis is performed on each pouring design point to obtain the initial mix ratio, including: based on the comprehensive influence of each pouring design point at its corresponding position in the construction model. Obtain the modeling priority order of each pouring design point; select the pouring design points in sequence according to the modeling priority order, and conduct an impact analysis on each pouring design point affected by the construction building model and the pouring model that has been added to the construction building model to obtain the initial mix ratio.
[0006] In one embodiment of the present invention, the comprehensive influence of each pouring design point at its corresponding position in the construction model is considered. To obtain the modeling priority order of each pouring design point, including: the degree of first influence of each pouring design point on the construction building model based on its corresponding position in the construction building model. The degree of secondary influence on other pouring design points The overall impact of each pouring design point was calculated. ,in, This indicates the first influence weight of each factor corresponding to each construction model. This represents the second influence weight corresponding to each other pouring design point, and the first influence degree corresponding to each other pouring design point. , This indicates the degree of impact of each other pouring design point on the pouring process after the generated pouring model is added to the construction model; based on the overall impact... The order of their overall impact is as follows: The order from low to high is used as the modeling priority order for each pouring design point. This indicates the initial impact level when each of the other described pouring design points is empty.
[0007] In one embodiment of the present invention, pouring design points are selected sequentially according to modeling priority. An influence analysis is performed on each pouring design point, considering both the impact of the construction model and the influence of the pouring model already added to the construction model, to obtain the initial mix proportion, including:
[0008] Select the pouring design points in sequence according to the modeling priority;
[0009] Based on the selected pouring design points, element analysis based on the construction model is performed on the pouring design points to obtain the first building element. ;
[0010] According to each first building element and its primary demand factor The first concrete demand index was obtained. ;
[0011] Based on the selected pouring design points, perform element analysis on the pouring design points within the construction model, using the pouring model elements already added to the construction model, to obtain the second building element. ;
[0012] According to each second building element and its second demand factor The second concrete demand index was obtained. ;
[0013] Based on the shape characteristics of the selected pouring design points, obtain the third concrete demand index. ;
[0014] According to the first concrete demand index and its corresponding first demand weight First concrete demand index and its corresponding first demand weight and the third concrete demand index and its corresponding third demand weight Obtain comprehensive concrete demand indicators ;
[0015] Based on comprehensive concrete demand indicators Select the appropriate mix proportions to obtain the initial mix proportions.
[0016] In one embodiment of the present invention, based on the selected pouring design points, element analysis based on the construction building model is performed on the pouring design points to obtain the first building element. This includes: obtaining the total stress corresponding to each stress surface based on the selected casting design points using a construction model. , of which, total stress , For normal stress, This is the reverse stress; based on the area of each stressed surface. Total stress and the proportion of the first element Obtain load-bearing influencing factors Based on the volume of reinforcing steel at the selected pouring design points. and steel reinforcement density The proportion of the second factor Obtain the influencing factors of steel reinforcement density According to the load-bearing influencing factors Factors affecting steel reinforcement density Obtain the first building element .
[0017] In one embodiment of the present invention, a third concrete demand index is obtained based on the shape characteristics of the selected pouring design point. This includes: obtaining the index parameters corresponding to the unit characteristic volume based on the shape characteristics of the selected pouring design points. According to the feature volume corresponding to the shape features To obtain the feature requirement index corresponding to each shape feature. Selecting characteristic demand indicators The largest demand indicator in As the third concrete demand indicator .
[0018] In one embodiment of the present invention, based on actual pouring data and a construction model, the pouring model in the reference mix proportion model is updated to optimize the concrete reference mix proportion corresponding to the unpoured points. This includes: comparing the corresponding parameters of the actual pouring data with the pouring model corresponding to the poured points to obtain the difference value. Based on the difference value In the benchmark mix design model, the concrete demand index of the pouring model corresponding to the already poured points is adjusted to obtain the comprehensive updated concrete index. According to the comprehensive concrete renewal index In the benchmark mix design model, the comprehensive concrete demand index for other unpoured locations is calculated. The update process was performed to obtain the comprehensive concrete index to be updated for each unpoured point. According to the comprehensive concrete index to be updated This yields the reference mix proportion of concrete for each unpoured point.
[0019] In one embodiment of the present invention, based on the difference value In the benchmark mix design model, the concrete demand index of the pouring model corresponding to the already poured points is adjusted to obtain the comprehensive updated concrete index. This includes: assigning each difference value corresponding to each poured point. With the corresponding difference standard Compare; when the difference value Greater than the corresponding difference standard Then, based on the difference value and difference value Corresponding indicator adjustment factor Obtain the comprehensive adjustment value ,,in, Represented as the maximum difference value; based on the comprehensive adjustment value Comprehensive concrete demand indicators corresponding to the already poured points Obtain comprehensive concrete renewal index .
[0020] In one embodiment of the present invention, based on the comprehensive concrete renewal index In the benchmark mix design model, the comprehensive concrete demand index for other unpoured locations is calculated. The update process was performed to obtain the comprehensive concrete index to be updated for each unpoured point. ,include:
[0021] Based on the comprehensive concrete renewal index of the already poured points Corresponding comprehensive adjustment value The intensity of the influence of already poured points on each unpoured point In the benchmark mix design model, the comprehensive concrete demand index for other unpoured locations is calculated. The update process was performed to obtain the comprehensive concrete index to be updated for each unpoured point. .
[0022] To achieve the above and other related objectives, the present invention also provides a concrete reference mix proportion optimization system, comprising: a first acquisition unit for acquiring a construction model and its pouring design points, wherein the pouring design points include poured points and unpoured points; an analysis unit for performing point status analysis on each pouring design point to acquire an initial mix proportion; a first generation unit for generating a pouring model matching the pouring design points based on the initial mix proportion; a second generation unit for sequentially adding the pouring model to the construction model to generate a reference mix proportion model; a second acquisition unit for acquiring actual pouring data of the poured points at the pouring site; and an update unit for updating the pouring model in the reference mix proportion model based on the actual pouring data and the construction model to optimize the concrete reference mix proportion corresponding to the unpoured points.
[0023] As described above, the concrete reference mix ratio optimization method and system of the present invention has the following beneficial effects: by establishing a construction building model and its pouring design points based on factors such as building construction materials before pouring construction, the point status of each pouring design point is analyzed, thereby determining the initial mix ratio of each pouring design point, so that the construction party can carry out concrete pouring construction based on the reference mix ratio model containing the pouring model and the construction building model. Furthermore, during the pouring process, each time a pouring design point is completed, a poured point is created. This allows for the determination of a conservative adjustment value, or comprehensive adjustment value, based on the actual pouring data of that poured point. This not only enables adjustments to the corresponding pouring model but also allows for adjustments to the comprehensive concrete update indicators of other unpoured points affected by it. Based on the adjusted comprehensive concrete update indicators, the concrete reference mix proportion of unpoured points can be optimized. This achieves real-time optimization of the concrete reference mix proportion of other unpoured points before each construction phase, dynamically adjusting the concrete reference mix proportion of unpoured points so that the optimized concrete mix proportion of unpoured points can accurately meet the real-time changes required by on-site construction. Attached Figure Description
[0024] Figure 1 This is a flowchart illustrating the concrete benchmark mix design optimization method provided in an embodiment of the present invention.
[0025] Figure 2 The diagram shown is a structural block diagram of a concrete reference mix proportion optimization system provided in an embodiment of the present invention.
[0026] Figure 3 The diagram shown is a structural schematic of an electronic device according to an embodiment of the present invention.
[0027] Component designation explanation
[0028] Electronic device 1; Concrete benchmark mix ratio optimization system 11; Memory 12; Processor 13; First acquisition unit 111; Analysis unit 112; First generation unit 113; Second generation unit 114; Second acquisition unit 115; Update unit 116. Detailed Implementation
[0029] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, unless otherwise specified, the following embodiments and features described therein can be combined with each other.
[0030] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. Therefore, the drawings only show the components related to the present invention and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.
[0031] In the following description, numerous details are explored to provide a more thorough explanation of embodiments of the invention. However, it will be apparent to those skilled in the art that embodiments of the invention may be practiced without these specific details. In other embodiments, well-known structures and devices are shown in block diagram form rather than in detail to avoid obscuring embodiments of the invention.
[0032] Please see Figure 1This invention provides a method for optimizing the benchmark mix proportion of concrete. In the early stages of construction, using a construction model and the pouring design points within that model, an initial mix proportion can be analyzed and configured for each pouring design point based on various influencing factors. Then, a benchmark mix proportion model is established based on the initial mix proportion. Furthermore, during the actual pouring process, the corresponding pouring model in the benchmark mix proportion model can be updated using the actual pouring data for each poured point. During the update, the benchmark mix proportion for other unpoured points can be optimized in real time based on the actual information of the completed poured points. This dynamically adjusts the benchmark mix proportion for unpoured points, ensuring that the optimized concrete mix proportion for unpoured points accurately meets the real-time changes required by on-site construction.
[0033] Figure 1 A flowchart of a concrete reference mix design optimization method according to an exemplary embodiment of this application is shown, applied to a concrete reference mix design optimization system, including steps S10-S60. The following will be combined with... Figure 1 The technical solution of this application will be described in detail below.
[0034] First, execute step S10 to obtain the construction building model and its pouring design points, wherein the pouring design points include poured points and unpoured points.
[0035] Before construction begins, workers can pre-create a construction model corresponding to the actual construction based on relevant construction materials, such as building frame materials, doors, and windows. This model includes the placement of reinforcing steel bars and the design points for pouring concrete. The designed construction model and corresponding pouring points are then uploaded to a concrete reference mix optimization system. This system optimizes the concrete reference mix proportions. Specifically, the concrete reference mix proportions mainly include the amount of gelling agent, aggregate amount and proportion, water-cement ratio, admixture amount, and water consumption.
[0036] In actual construction, the design points for pouring can be divided into poured points that have been poured and unpoured points that have not yet been poured. Through the concrete reference mix ratio optimization system of the present invention, the concrete reference mix ratio of the unpoured points can be optimized based on the actual pouring data of the poured points, so as to ensure the accuracy of the concrete reference mix ratio of the unpoured points.
[0037] Next, step S20 is executed to analyze the status of each pouring design point and obtain the initial mix proportion.
[0038] After determining the pouring design points, the concrete reference mix optimization system analyzes the status of each point in the construction model to determine the influence of construction materials and other pouring design points on the current pouring design point. This determines the corresponding initial mix proportion, which is then used for construction. After pouring at the corresponding design points, the system further dynamically adjusts and optimizes the mix proportions of other unpoured points to ensure the accuracy of the concrete reference mix proportions for these unpoured points. This also optimizes the workability, durability, and strength of the concrete.
[0039] In step S20, the status of each pouring design point is analyzed to obtain the initial mix proportion, which may further include:
[0040] Based on the comprehensive influence of each pouring design point at its corresponding location in the construction model Obtain the modeling priority order for each pouring design point;
[0041] Based on the modeling priority, the pouring design points are selected sequentially. An impact analysis is performed on each pouring design point, considering both the influence of the construction building model and the influence of the pouring model already added to the construction building model, to obtain the initial mix proportion.
[0042] During the process of analyzing the status of each pouring design point using the concrete benchmark mix optimization system, the comprehensive influence of each pouring design point in the construction model can be calculated. It can be based on the overall impact. The modeling priority of each pouring design point is determined by ranking its size. After determining the modeling priority of each pouring design point, the order in which the pouring design points are selected can be based on this priority. The initial mix proportion for each pouring design point is then determined according to this modeling order. Therefore, this method effectively ensures that the initial mix proportion design for each pouring design point takes into account both the influencing factors of the construction model and the influencing factors of the pouring model already added to the construction model, thus guaranteeing the accuracy of the final initial mix proportion.
[0043] Among them, the comprehensive influence of each pouring design point at its corresponding position in the construction model is considered. Obtaining the modeling priority order for each pouring design point can further include:
[0044] Based on the degree of primary influence of each pouring design point on the construction model according to its corresponding position in the construction model. The degree of secondary influence on other pouring design points The overall impact of each pouring design point was calculated. ,in, This indicates the first influence weight of each factor corresponding to each construction model. This represents the second influence weight corresponding to each other pouring design point, and the first influence degree corresponding to each other pouring design point. , This indicates the degree of impact of each other pouring design point on the pouring process after the generated pouring model is added to the construction model. This indicates the initial degree of influence when each of the other aforementioned pouring design points is empty;
[0045] According to the degree of comprehensive impact The order of their overall impact is as follows: The order from low to high is used as the modeling priority order for each pouring design point.
[0046] When using a concrete benchmark mix optimization system to calculate the modeling priority of pouring design points, it is necessary to first determine the importance of each pouring design point in the construction model, that is, to calculate the degree of primary influence of each pouring design point on the construction model. and the degree of secondary influence on other pouring design points. In order to determine the corresponding comprehensive impact level Therefore, it is possible to base decisions on the degree of comprehensive impact. The relative levels of influence of the pouring design points determine whether they should be prioritized. In other words, the overall impact of the pouring design points... When the size is relatively small, this pouring design point does not need to be prioritized; other pouring design points can be configured first to determine the modeling priority order of each pouring design point. The influence of each construction model on corresponding factors should also be considered. This could be window beam supports, windows, etc. It can be seen that the influence of window beam supports corresponding to a certain pouring design point on that point is greater than the influence of windows themselves. Then, all the influence levels... Combined together, this yields the first degree of influence of the construction building model. The degree of influence formed by each other pouring design point. It could be that it mainly depends on the pre-configuration of the current pouring design points, in which case there will be a corresponding degree of influence. To all the degree of influence When combined, this yields the second degree of influence on other pouring design points. .
[0047] For each other pouring design point, the degree of first influence The degree of first impact can be determined by checking whether the pouring design points have been generated into the pouring model and added to the construction model. The value of . Specifically, when the casting design point has been generated into a casting model and added to the construction model, the degree of casting influence formed by the corresponding casting model can be obtained. Then, consider the initial impact when the pouring design point is empty. To determine the corresponding degree of first impact. The formula can be expressed as: When no casting model is generated for the casting design point, the initial impact level when the casting design point is empty is then determined. As the corresponding first degree of influence The formula can be expressed as: .
[0048] In addition, according to the modeling priority, the pouring design points are selected sequentially. An impact analysis is performed on each pouring design point, considering both the influence of the construction building model and the influence of the pouring model already added to the construction building model, to obtain the initial mix proportion. This can further include:
[0049] Select the pouring design points in sequence according to the modeling priority;
[0050] Based on the selected pouring design points, element analysis based on the construction model is performed on the pouring design points to obtain the first building element. ;
[0051] According to each first building element and its primary demand factor The first concrete demand index was obtained. ;
[0052] Based on the selected pouring design points, perform element analysis on the pouring design points within the construction model, using the pouring model elements already added to the construction model, to obtain the second building element. ;
[0053] According to each second building element and its second demand factor The second concrete demand index was obtained. ;
[0054] Based on the shape characteristics of the selected pouring design points, obtain the third concrete demand index. ;
[0055] According to the first concrete demand index and its corresponding first demand weight First concrete demand index and its corresponding first demand weight and the third concrete demand index and its corresponding third demand weight Obtain comprehensive concrete demand indicators ;
[0056] Based on comprehensive concrete demand indicators Select the appropriate mix proportions to obtain the initial mix proportions.
[0057] In determining the initial mix proportion based on modeling priority, the initial mix proportion analysis is first performed on the corresponding pouring design points according to the modeling priority order. Specifically, element analysis based on the construction building model is first performed on the pouring design points to determine the first building element affecting the mix proportion. Based on the first building element and the corresponding first demand factor Further calculations yielded the first concrete demand index based on the construction model elements. Furthermore, the initial mix proportions are also affected by the casting model elements already added to the construction model. Therefore, it is necessary to perform element analysis based on the casting model elements already added to the construction model to determine the second construction element affecting the mix proportions. The second building element The influencing factors are relatively simple and can be obtained through simple load-bearing analysis, namely, the stress on the current casting design point caused by the initial mix proportion of the casting model added to the construction model. Situation and Factor Proportion To determine, the formula can be expressed as ,in, This indicates the stress-bearing surface. Then, the shape characteristics of each pouring design point will also form a corresponding third concrete demand index. Finally, it can be based on the first concrete demand index. and its corresponding first demand weight First concrete demand index and its corresponding first demand weight and the third concrete demand index and its corresponding third demand weight To calculate the comprehensive concrete demand index corresponding to the initial mix proportion. The formula is expressed as In order to facilitate the assessment of comprehensive concrete demand indicators The initial mix proportions corresponding to the pouring design points are determined by referring to a table.
[0058] Specifically, based on the selected pouring design points, element analysis based on the construction model is performed on the pouring design points to obtain the first building element. It may further include:
[0059] Based on the stress surfaces of the selected pouring design points, the total stress corresponding to each stress surface is obtained through the construction model. , of which, total stress , For normal stress, It is the reverse stress;
[0060] Based on the area of each force-bearing surface Total stress and the proportion of the first element Obtain load-bearing influencing factors ;
[0061] Based on the selected casting design point's steel reinforcement volume and steel reinforcement density The proportion of the second factor Obtain the factors affecting steel reinforcement density ;
[0062] Based on load-bearing influencing factors Factors affecting steel reinforcement density Obtain the first building element .
[0063] In determining the first building element At that time, it is mainly affected by load-bearing factors. Factors affecting steel reinforcement density To determine. In determining the load-bearing influencing factors. At this time, the total stress on the load-bearing surface at the pouring design point can be determined by using a construction model. When the surface bearing load at the design pouring point is subjected to stress, it will be subjected to both positive stress and negative stress from the symmetrical side of that surface. This allows the determination of the total stress. Then, based on the area of each stressed surface... Total stress and the proportion of the first element This allows us to further determine the load-bearing influencing factors at the casting design points when they are under load. The calculation formula is: Factors affecting steel reinforcement density Then, the volume of the reinforcing steel at the selected pouring design point can be directly determined. and steel reinforcement density The proportion of the second factor Obtain the factors affecting steel reinforcement density The formula is expressed as: Among them, the volume of steel bars This is expressed as the volume occupied by the reinforcing steel at the designed pouring point, including the volume of the steel itself and the space it occupies within that point. Finally, based on the obtained load-bearing influence factors... Factors affecting steel reinforcement density The first building element was determined. The formula is expressed as: Therefore, it can be achieved through the first building element. and its primary demand factor To determine the first concrete demand index .
[0064] Furthermore, based on the shape characteristics of the selected pouring design points, a third concrete demand index is obtained. ,include:
[0065] Based on the shape characteristics of the selected pouring design points, the index parameters corresponding to the unit characteristic volume are obtained. ;
[0066] Based on the feature volume corresponding to the shape features To obtain the feature requirement index corresponding to each shape feature. ;
[0067] Select characteristic demand indicators The largest demand indicator in As the third concrete demand indicator .
[0068] Comprehensive concrete demand indicators at the pouring design points During the calculation, it is also necessary to consider the third concrete demand index corresponding to the shape characteristics of the pouring design points. Calculations are performed. Specifically, the shape characteristics of the pouring design point can be determined through identification. For example, the shape of the pouring design point is compared with characteristic shapes stored in the system. If the two reach a specified similarity, it can be identified as the shape characteristic of the set shape. Then, based on the shape characteristics of the set shape, the corresponding index parameters for the unit characteristic volume can be determined. Then, it is necessary to perform volume calculations on the shape features of the corresponding pouring design points in the construction model to obtain the feature volume corresponding to the shape features. This allows us to obtain the feature requirement index corresponding to each shape feature. Finally, based on the characteristic requirement indicators The largest demand indicator in It can directly cover other characteristic demand indicators and serve as the third concrete demand indicator. In order to achieve the comprehensive concrete demand index Precise calculations.
[0069] Next, steps S30 and S40 are executed to generate a casting model that matches the casting design points based on the initial mix proportion; the casting model is then added to the construction model in sequence to generate a reference mix proportion model.
[0070] After determining the initial mix proportion at the pouring design point using the concrete benchmark mix proportion optimization system, a corresponding pouring model is generated based on this initial mix proportion. This pouring model can be a historical pouring model directly derived from historically stored initial mix proportions that correspond to or reach a specified similarity with the initial mix proportion. Alternatively, it can be a predictive model based on a large number of historical initial mix proportions and historical pouring models. Then, a pouring model is automatically predicted based on the current initial mix proportion. Alternatively, it can be based on comprehensive concrete demand indicators. The initial mix proportions are determined based on comprehensive concrete demand indicators. The corresponding range value determines the set initial mix proportion within that range. This set initial mix proportion can then directly correspond to a historically stored casting model. After determining the casting model, it is sequentially added to the construction model. Once added, a corresponding baseline mix proportion model is generated. This baseline mix proportion model can then be used to subsequently implement the construction process.
[0071] It is worth noting that when adding the casting models to the construction model sequentially, they can be added from the top floor to the bottom floor as during the building's construction. This method ensures that the design of each casting model is interconnected. However, in actual construction, due to the inherent nature of the construction method, the actual construction process involves casting from the bottom floor to the top floor.
[0072] Next, step S50 is executed to obtain the actual pouring data of the poured points at the pouring site.
[0073] In actual construction, concrete is poured sequentially from the bottom floor to the top floor of the building to obtain concrete structures. Then, by testing the strength and other concrete properties of each completed concrete structure, corresponding actual pouring data can be obtained. This data is then uploaded to the concrete reference mix optimization system, enabling the system to obtain actual pouring data for the already poured points at the construction site.
[0074] Next, step S60 is executed, which updates the pouring model in the reference mix proportion model based on the actual pouring data and the construction model, in order to optimize the concrete reference mix proportion corresponding to the unpoured points.
[0075] After obtaining actual pouring data through the concrete benchmark mix optimization system, the pouring model in the benchmark mix model can be further updated by combining it with the construction model. During the update, the corresponding indicators of the pouring model in the benchmark mix model can be adjusted based on the actual pouring data of the poured points after completion. Then, by adjusting the pouring models corresponding to the poured points, the indicators of the pouring models corresponding to other unpoured points in the benchmark mix model can be adjusted. After the indicators are adjusted, the corresponding concrete benchmark mix proportion can be dynamically and accurately determined.
[0076] In step S60, based on actual pouring data and the construction model, the pouring model in the reference mix proportion model is updated to optimize the concrete reference mix proportion corresponding to the unpoured points. This may further include:
[0077] The actual pouring data is compared with the corresponding parameters of the pouring model at the poured points to obtain the difference value. ;
[0078] Based on the difference value In the benchmark mix design model, the concrete demand index of the pouring model corresponding to the already poured points is adjusted to obtain the comprehensive updated concrete index. ;
[0079] According to the comprehensive concrete renewal index In the benchmark mix design model, the comprehensive concrete demand index for other unpoured locations is calculated. The update process was performed to obtain the comprehensive concrete index to be updated for each unpoured point. ;
[0080] According to the comprehensive concrete index to be updated This yields the reference mix proportion of concrete for each unpoured point.
[0081] After obtaining the actual pouring data from the concrete benchmark mix optimization system, the actual pouring data is then compared with the corresponding parameters of the pouring model at the pouring points, i.e., the corresponding concrete indices, to determine the difference values. The calculation formula is: ,in, This is expressed as a comprehensive concrete demand index. This is represented by the actual indicators corresponding to the actual pouring data. Then, based on the difference values... To determine the comprehensive concrete demand index Adjustments were made to determine the corresponding comprehensive concrete update index in the benchmark mix design model. In the specific implementation process, comprehensive concrete demand indicators are considered. It needs to be greater than the actual target. Only by meeting the comprehensive concrete requirements can structural strength be guaranteed. Greater than the actual target At that time, the comprehensive concrete demand index is not considered. Processing is performed without implementing optimization strategies; however, when actual indicators... Greater than the comprehensive concrete demand index If the actual pouring data shows that the current pouring strength is insufficient, reinforcement is needed at other unpoured points. Therefore, based on the comprehensive concrete update index of the poured points... For each unpoured point, the comprehensive concrete indicators to be updated Calculations are performed to evaluate the reference mix proportion of concrete for each unpoured point.
[0082] Next, based on the difference value In the benchmark mix design model, the concrete demand index of the pouring model corresponding to the already poured points is adjusted to obtain the comprehensive updated concrete index. It may further include:
[0083] Each difference value corresponding to each poured point With the corresponding difference standard Compare;
[0084] When the difference value Greater than the corresponding difference standard Then, based on the difference value and difference value Corresponding indicator adjustment factor Obtain the comprehensive adjustment value ,in, Represented as the maximum difference value;
[0085] According to the comprehensive adjustment value Comprehensive concrete demand indicators corresponding to the already poured points Obtain comprehensive concrete renewal index .
[0086] Calculate the comprehensive concrete renewal index for already poured locations. During the process, by adjusting for differences greater than the corresponding standard... Difference value Selecting a value greater than the corresponding difference standard can avoid false data reporting due to measurement errors. Difference value Then, adjust the corresponding indicator factors. (This adjustment factor is a conservative value set to account for possible error scenarios) and maximum difference value To further derive the comprehensive adjustment value. The formula can be expressed as: Then, based on the comprehensive adjustment value... Comprehensive concrete demand indicators corresponding to the already poured points To calculate the comprehensive concrete renewal index .
[0087] Specifically, based on the comprehensive concrete renewal index In the benchmark mix design model, the comprehensive concrete demand index for other unpoured locations is calculated. The update process was performed to obtain the comprehensive concrete index to be updated for each unpoured point. It may further include:
[0088] Based on the comprehensive concrete renewal index of the already poured points Corresponding comprehensive adjustment value The intensity of the influence of already poured points on each unpoured point In the benchmark mix design model, the comprehensive concrete demand index for other unpoured locations is calculated. The update process was performed to obtain the comprehensive concrete index to be updated for each unpoured point. .
[0089] Determine the comprehensive concrete indicators to be updated for each un-poured point. During the process, the influence intensity of the poured points on each unpoured point can be further assessed. The intensity of this influence The correlation strength between poured and unpoured points can be determined by analyzing the mechanical properties of the benchmark mix design after establishing the benchmark mix design model, or it can be determined manually after establishing the benchmark mix design model. This process involves determining the influence strength of poured points on each unpoured point. Then, the comprehensive concrete index is updated based on the already poured points. Corresponding comprehensive adjustment value Comprehensive concrete demand index for unpoured locations It is possible to calculate the comprehensive concrete index to be updated for each unpoured point. The formula is expressed as .
[0090] Furthermore, the concrete reference mix ratio optimization method of the present invention further includes: outputting pouring optimization schemes sequentially according to the modeling priority order of the concrete reference mix ratio corresponding to each unpoured point. After optimizing the concrete reference mix ratio corresponding to each unpoured point each time, the order of the unpoured points is further determined based on the aforementioned calculated modeling priority order, and then the pouring optimization schemes are output to the construction party sequentially based on the order of the unpoured points, so that the construction party can carry out pouring construction on the corresponding unpoured points according to the optimized concrete reference mix ratio output by the concrete reference mix ratio optimization system.
[0091] Please refer to 2. The present invention also provides a concrete reference mix proportion optimization system 11, comprising: a first acquisition unit 111, used to acquire a construction model and its pouring design points, wherein the pouring design points include poured points and unpoured points; an analysis unit 112, used to perform point status analysis on each pouring design point and acquire an initial mix proportion; a first generation unit 113, used to generate a pouring model matching the pouring design points based on the initial mix proportion; a second generation unit 114, used to add the pouring model sequentially to the construction model to generate a reference mix proportion model; a second acquisition unit 115, used to acquire actual pouring data of the poured points at the pouring site; and an update unit 116, used to update the pouring model in the reference mix proportion model based on the actual pouring data and the construction model to optimize the concrete reference mix proportion corresponding to the unpoured points.
[0092] It should be noted that the concrete reference mix proportion optimization system 11 provided in the above embodiments and the concrete reference mix proportion optimization method provided in the above embodiments belong to the same concept. The specific operation methods of each module and unit have been described in detail in the method embodiments and will not be repeated here. In practical applications, the concrete reference mix proportion optimization system 11 provided in the above embodiments can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. This is not a limitation here.
[0093] Please see Figure 3 The electronic device 1 may include a memory 12, a processor 13 and a bus, and may also include a computer program stored in the memory 12 and executable on the processor 13, such as a concrete benchmark mix optimization program.
[0094] The memory 12 includes at least one type of readable storage medium, such as flash memory, portable hard drive, multimedia card, card-type memory (e.g., SD or DX memory), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 12 can be an internal storage unit of the electronic device 1, such as a portable hard drive. In other embodiments, the memory 12 can be an external storage device of the electronic device 1, such as a plug-in portable hard drive, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the electronic device 1. Furthermore, the memory 12 can include both internal and external storage units of the electronic device 1. The memory 12 can be used not only to store application software and various types of data installed on the electronic device 1, such as code for optimizing concrete reference mix proportions, but also to temporarily store data that has been output or will be output.
[0095] In some embodiments, the processor 13 may be composed of integrated circuits, such as a single packaged integrated circuit or multiple integrated circuits with the same or different functions, including combinations of one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor 13 is the control unit of the electronic device 1, connecting various components of the electronic device 1 via various interfaces and lines. It executes programs or modules (such as concrete benchmark mix optimization programs) stored in the memory 12, and calls data stored in the memory 12 to perform various functions and process data of the electronic device 1.
[0096] The processor 13 executes the operating system of the electronic device 1 and various installed applications. The processor 13 executes the applications to implement the steps in the above-described concrete reference mix proportion optimization method.
[0097] For example, the computer program may be divided into one or more modules, which are stored in the memory 12 and executed by the processor 13 to complete this application. The one or more modules may be a series of computer program instruction segments capable of performing specific functions, which describe the execution process of the computer program in the electronic device 1. For example, the computer program may be divided into units in a concrete reference mix optimization system.
[0098] The integrated unit implemented as a software functional module described above can be stored in a computer-readable storage medium, which can be non-volatile or volatile. The software functional module stored in the storage medium includes several instructions to cause a computer device (which may be a personal computer, computer equipment, or network device, etc.) or processor to execute some functions of the concrete reference mix proportion optimization method described in the various embodiments of this application.
[0099] In summary, the present invention discloses a method and system for optimizing the benchmark mix proportion of concrete. By establishing a construction building model and its pouring design points based on factors such as building construction materials before pouring construction, the system analyzes the status of each pouring design point, thereby determining the initial mix proportion of each pouring design point. This enables the construction party to carry out concrete pouring construction based on the benchmark mix proportion model containing the pouring model and the construction building model. Furthermore, during the pouring process, each completed pouring point creates a poured point. This allows for the calculation of a conservative adjustment value (i.e., a comprehensive adjustment value) based on the actual pouring data of that point. This not only enables adjustments to the corresponding pouring model but also allows for adjustments to the comprehensive concrete update indicators of other unpoured points affected by this. Based on these adjusted comprehensive concrete update indicators, the concrete mix design for unpoured points can be optimized. This achieves real-time optimization of the concrete mix design for other unpoured points before each construction phase, dynamically adjusting the concrete mix design for unpoured points to accurately meet the real-time changes required by on-site construction. Therefore, this invention effectively overcomes the various shortcomings of existing technologies and possesses high industrial application value.
[0100] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in the present invention should still be covered by the claims of the present invention.
Claims
1. A method for optimizing the benchmark mix proportion of concrete, characterized in that, include: Obtain the construction building model and its pouring design points, wherein the pouring design points include poured points and unpoured points; Perform point status analysis on each of the aforementioned pouring design points to obtain the initial mix proportion; Based on the initial mix ratio, a casting model matching the casting design points is generated; The casting model is added to the construction building model in sequence to generate a reference mix proportion model; Obtain the actual pouring data of the poured points at the pouring site; Based on the actual pouring data and the construction model, the pouring model in the benchmark mix proportion model is updated to optimize the benchmark mix proportion of the concrete corresponding to the unpoured points; Perform point status analysis on each of the aforementioned pouring design points to obtain the initial mix proportion, including: The combined influence of each of the aforementioned pouring design points at their corresponding positions in the construction model. Obtain the modeling priority order for each of the aforementioned pouring design points; The pouring design points are selected sequentially according to the modeling priority order. An impact analysis is performed on each pouring design point, considering both the influence of the construction building model and the influence of the pouring model already added to the construction building model, to obtain the initial mix proportion. Based on the actual pouring data and the construction model, the pouring model in the reference mix proportion model is updated to optimize the concrete reference mix proportion corresponding to the unpoured points, including: The actual pouring data is compared with the pouring model corresponding to the poured points using the corresponding parameters to obtain the difference value. ; Based on the difference value In the benchmark mix design model, the concrete demand index of the pouring model corresponding to the already poured points is adjusted to obtain the comprehensive updated concrete index. ; According to the comprehensive concrete renewal index In the benchmark mix design model, the comprehensive concrete demand index for the other un-poured locations is... The update process is performed to obtain the comprehensive concrete index to be updated for each of the aforementioned unpoured locations. ; According to the aforementioned comprehensive concrete index to be updated The reference mix proportion of concrete corresponding to each of the unpoured points is obtained.
2. The method for optimizing the concrete reference mix proportion according to claim 1, characterized in that: The combined influence of each of the aforementioned pouring design points at their corresponding positions in the construction model. Obtain the modeling priority order for each of the aforementioned casting design points, including: The degree of influence of each of the aforementioned pouring design points on the construction model based on their corresponding positions in the construction model. The second degree of influence on the other pouring design points mentioned above. The overall impact of each of the aforementioned pouring design points is calculated. ,in, This represents the first influence weight of each factor corresponding to the construction model. This represents the second influence weight corresponding to each of the other pouring design points, and the first influence degree corresponding to each of the other pouring design points. , This indicates the degree of influence of each of the other casting design points on the casting process after the casting model is generated and added to the construction model. This indicates the initial degree of influence when each of the other aforementioned pouring design points is empty; According to the overall impact level The order of their overall impact levels is as follows: The order from low to high is used as the modeling priority order for each of the aforementioned casting design points.
3. The method for optimizing the benchmark mix proportion of concrete according to claim 1, characterized in that: The pouring design points are selected sequentially according to the modeling priority order. An impact analysis is performed on each pouring design point, considering both the influence of the construction building model and the influence of the pouring model already added to the construction building model, to obtain the initial mix proportion, including: The pouring design points are selected sequentially according to the modeling priority order; Based on the selected pouring design points, element analysis based on the construction building model is performed on the pouring design points to obtain the first building element. ; According to each of the first building elements and its primary demand factor The first concrete demand index was obtained. ; Based on the selected pouring design points, a feature analysis of the pouring model, already added to the construction model, is performed on these points within the construction building model to obtain second building elements. ; According to each of the second building elements and its second demand factor The second concrete demand index was obtained. ; Based on the shape characteristics of the selected pouring design points, obtain the third concrete demand index. ; Based on the first concrete demand index and its corresponding first demand weight The first concrete demand index and its corresponding first demand weight and the third concrete demand index and its corresponding third demand weight Obtain comprehensive concrete demand indicators ; Based on the comprehensive concrete demand index The mixing ratio is selected to obtain the initial mixing ratio.
4. The method for optimizing the concrete reference mix proportion according to claim 3, characterized in that: Based on the selected pouring design points, element analysis based on the construction building model is performed on the pouring design points to obtain the first building element. ,include: Based on the selected stress surfaces at the casting design points, the total stress corresponding to each stress surface is obtained through the construction model. , wherein the total stress , For normal stress, It is the reverse stress; Based on the area of each force-bearing surface The total stress and the proportion of the first element Obtain load-bearing influencing factors ; Based on the selected reinforcement volume at the selected pouring design point and steel reinforcement density The proportion of the second factor Obtain the factors affecting steel reinforcement density ; According to the load-bearing influencing factors and the factors affecting the density of the steel reinforcement Obtain the first building element .
5. The method for optimizing the benchmark mix proportion of concrete according to claim 3, characterized in that: Based on the shape characteristics of the selected pouring design points, obtain the third concrete demand index. ,include: Based on the shape characteristics of the selected pouring design points, the index parameters corresponding to the unit characteristic volume are obtained. ; Based on the feature volume corresponding to the shape feature The feature requirement index corresponding to each of the shape features is obtained. ; Select the characteristic requirement index The largest demand indicator in As the third concrete demand indicator .
6. The method for optimizing the benchmark mix proportion of concrete according to claim 1, characterized in that: Based on the difference value In the benchmark mix design model, the concrete demand index of the pouring model corresponding to the already poured points is adjusted to obtain the comprehensive updated concrete index. ,include: Each difference value corresponding to each of the aforementioned poured points With the corresponding difference standard Compare; When the difference value Greater than the corresponding difference standard Then, based on the difference value and the difference value Corresponding indicator adjustment factor Obtain the comprehensive adjustment value ,in, Represented as the maximum difference value; According to the comprehensive adjustment value The comprehensive concrete demand index corresponding to the already poured points Obtain comprehensive concrete renewal index .
7. The method for optimizing the benchmark mix proportion of concrete according to claim 6, characterized in that: According to the comprehensive concrete renewal index In the benchmark mix design model, the comprehensive concrete demand index for the other un-poured locations is... The update process is performed to obtain the comprehensive concrete index to be updated for each of the aforementioned unpoured locations. ,include: According to the comprehensive concrete renewal index of the already poured points Corresponding comprehensive adjustment value and the intensity of the influence of the poured points on each of the unpoured points. In the benchmark mix design model, the comprehensive concrete demand index for the other un-poured locations is... The update process is performed to obtain the comprehensive concrete index to be updated for each of the aforementioned unpoured locations. .
8. An optimization system applied to the concrete reference mix proportion optimization method according to any one of claims 1-7, characterized in that, include: The first acquisition unit is used to acquire the construction building model and its pouring design points, wherein the pouring design points include poured points and unpoured points; The analysis unit is used to perform point status analysis on each of the aforementioned pouring design points and obtain the initial mix proportion; The first generation unit is used to generate a casting model that matches the casting design point based on the initial mix ratio. The second generation unit is used to add the casting model to the construction building model in sequence to generate a reference mix proportion model; The second acquisition unit is used to acquire the actual pouring data of the already poured points at the pouring site; and The update unit is used to update the pouring model in the reference mix proportion model based on the actual pouring data and the construction model, so as to optimize the concrete reference mix proportion corresponding to the corresponding unpoured points.