A grouting system and method for housing engineering construction

Abstract

The present invention is applicable to the field of construction engineering, and provides a grouting system and method for housing engineering construction, wherein the system comprises: a data collection and analysis module, a demand forecasting and procurement module, a meteorological monitoring and adjustment module, and an inventory management and recycling module. The present invention can efficiently and accurately provide the construction team with a forecast of material demand, ensuring that the project is carried out on time and as required. By analyzing historical data and current meteorological conditions, it is possible to effectively respond to different construction conditions and reduce the waste of resources caused by insufficient or excessive materials. In addition, real-time monitoring of the dynamic comparison of inventory status and material demand can minimize the cost of material procurement and improve the efficiency of capital use. Through such management, the construction team can focus more on construction quality, improve the overall efficiency of the project, and ensure the smooth progress of the project.

Description

Technical Field

[0001] The invention belongs to the field of construction engineering, and in particular relates to a grouting system and method for housing engineering construction. Background Art

[0002] Low-cost grouting is an economical and effective technology in construction projects, mainly used to reinforce, repair and improve soil and structural performance. It injects specific slurry into the predetermined location to enhance soil bearing capacity, reduce settlement, and reinforce concrete structures to improve durability. Commonly used materials include cement slurry and polymer slurry, which have good fluidity and adhesion and can adapt to a variety of geological conditions and structural types.

[0003] At present, during grouting operations, there is often a lack of real-time monitoring and analysis of weather changes, resulting in a failure to respond to weather changes in a timely manner during the construction process, which in turn affects the quality of grouting and increases the risk of rework and delays. In addition, many engineering projects often lack scientific forecasts in material procurement, resulting in excess or shortage of materials, unnecessary capital occupation and waste of resources, and failure to effectively integrate construction progress, material usage and meteorological data, resulting in a lack of comprehensiveness and timeliness in project management decisions. Summary of the invention

[0004] The purpose of the present invention is to provide a grouting system and method for housing construction, aiming to solve the technical problems existing in the prior art identified in the background technology.

[0005] The present invention is achieved in that a grouting system for housing engineering construction comprises:

[0006] Data collection and analysis module, used to collect and store historical project data, including project time weather data, project progress, material usage, analyze historical data, identify the impact of weather on the grouting process, and obtain current weather conditions;

[0007] The demand forecasting and procurement module is used to predict the demand for grouting materials for this grouting project based on the current housing construction needs, and generate a procurement list based on the current meteorological conditions and inventory in combination with the weather's impact on the grouting process;

[0008] The weather monitoring and adjustment module is used to monitor the weather forecast changes in real time. When there is a deviation between the weather forecast and the current weather, it analyzes the impact of the changed weather on the grouting project and adjusts the purchase list.

[0009] The inventory management and recycling module is used to monitor inventory changes in real time and predict inventory usage. When it is identified that there is still inventory left after the grouting project is completed, a recycling order is generated.

[0010] As a further solution of the present invention, the data collection and analysis module includes:

[0011] Project record unit, used to record the start and end dates of the grouting works in each engineering project, and read the historical meteorological data between the start and end dates, as well as the material consumption of each grouting project;

[0012] The meteorological effect evaluation unit is used to evaluate the effect of grouting under different weather conditions, identify the meteorological factors that affect the grouting effect, and the relationship between different meteorological factors and material consumption.

[0013] As a further solution of the present invention, the demand forecasting and purchasing module includes:

[0014] The demand analysis unit is used to obtain the grouting time nodes at each stage of the construction plan, determine the specific needs of the current housing project, including the area, depth and type of grouting, and clarify the material requirements at each stage;

[0015] Historical data reference unit, used to obtain historical data of the same project, identify the main factors affecting material demand, and evaluate material usage under different weather conditions;

[0016] The material demand forecasting unit is used to calculate the total amount of materials required for this grouting project according to the current meteorological conditions and project requirements, and allocate the material requirements for each construction stage;

[0017] The inventory comparison and procurement unit is used to monitor the current inventory status in real time, obtain the existing inventory of various grouting materials, compare the calculated material demand with the current inventory, identify the type and quantity of materials that need to be purchased, and generate a purchase list based on the demand and inventory comparison results.

[0018] As a further solution of the present invention, the meteorological monitoring and adjustment module includes:

[0019] The meteorological acquisition and impact extraction unit is used to obtain real-time meteorological forecast information, extract meteorological factors that affect the grouting effect, compare the current meteorological status with the meteorological forecast, and identify deviations and changes;

[0020] Deviation analysis and impact assessment unit, used to quantitatively analyze the degree of deviation between the weather forecast and the current weather, determine the specific magnitude of change, and assess the potential impact of the deviation on the grouting project;

[0021] The demand adjustment and purchase modification unit is used to recalculate the demand for grouting materials and modify the original purchase list based on the deviation impact assessment results.

[0022] As a further solution of the present invention, the inventory management and recycling module includes:

[0023] Inventory monitoring and matching analysis unit, used to obtain the inventory of various grouting materials in real time, analyze the matching degree between the current inventory and project requirements, and identify possible shortages or surpluses;

[0024] The demand forecasting and consumption calculation unit is used to forecast the demand for materials at each stage according to the construction plan, calculate the expected material consumption rate, calculate the inventory balance after the grouting project is completed, and determine whether there is excess material;

[0025] The inventory recovery management unit is used to automatically generate a recovery order when excess inventory is identified, and record the type and quantity of materials that need to be recovered.

[0026] Another object of the present invention is to provide a grouting method for housing construction, the method comprising:

[0027] Collect and store historical project data, including project time weather data, project progress, and material usage. Analyze historical data to identify the impact of weather on the grouting process and obtain current weather conditions.

[0028] Based on the current housing construction needs, the demand for grouting materials for this grouting project is predicted, and combined with the weather's impact on the grouting process, a purchase list is generated based on the current meteorological conditions and inventory;

[0029] Monitor weather forecast changes in real time, and when there is a deviation between the weather forecast and the current weather, analyze the impact of the changed weather on the grouting project and adjust the purchase list;

[0030] Monitor inventory changes in real time and predict inventory usage. When it is identified that there is still inventory left after the grouting project is completed, a recovery order is generated.

[0031] As a further solution of the present invention, the method of collecting and storing historical engineering project data, identifying the influence pattern of weather on the grouting process, and obtaining the current meteorological state specifically includes the following steps:

[0032] Record the start and end dates of the grouting works in each project, and read the historical meteorological data between the start and end dates, as well as the material consumption of each grouting work;

[0033] Evaluate the effect of grouting under different weather conditions, identify the meteorological factors that affect the grouting effect, and the relationship between different meteorological factors and material consumption.

[0034] As a further solution of the present invention, the prediction of the demand for grouting materials for this grouting project, combined with the weather's influence on the grouting process, generates a purchase list based on the current meteorological conditions and inventory, specifically including:

[0035] Obtain the grouting time nodes for each stage in the construction plan, determine the specific needs of the current housing project, including the area, depth and type of grouting, and clarify the material requirements for each stage;

[0036] Obtain historical data on the same project to identify the main factors affecting material requirements and assess material usage under different weather conditions;

[0037] Calculate the total amount of materials required for this grouting project based on the current meteorological conditions and project requirements, and allocate material requirements for each construction stage;

[0038] Monitor the current inventory status in real time, obtain the existing inventory of various grouting materials, compare the calculated material demand with the current inventory, identify the type and quantity of materials that need to be purchased, and generate a purchase list based on the demand and inventory comparison results.

[0039] As a further solution of the present invention, the analysis of the impact of the changed weather on the grouting project and the adjustment of the purchase list specifically include:

[0040] Obtain real-time weather forecast information, extract weather factors that affect grouting results, compare current weather conditions with weather forecasts, and identify deviations and changes;

[0041] Quantitatively analyze the degree of deviation between weather forecast and current weather, determine the specific magnitude of change, and evaluate the potential impact of the deviation on the grouting project;

[0042] Based on the deviation impact assessment results, the demand for grouting materials is recalculated and the original procurement list is modified.

[0043] As a further solution of the present invention, when it is identified that there is still inventory remaining after the grouting project is completed, a recycling order is generated, which specifically includes:

[0044] Obtain the inventory of various grouting materials in real time, analyze the matching degree between the current inventory and project demand, and identify possible shortage or surplus;

[0045] According to the construction plan, forecast the demand for materials at each stage, calculate the expected material consumption rate, calculate the inventory balance after the grouting project is completed, and determine whether there is excess material;

[0046] When excess inventory is identified, a recycling order is automatically generated, recording the type and quantity of materials that need to be recycled.

[0047] The beneficial effects of the present invention are:

[0048] The present invention can efficiently and accurately provide the construction team with material demand forecasts to ensure that the project is carried out on time and as needed. By analyzing historical data and current meteorological conditions, it can effectively respond to different construction conditions and reduce resource waste caused by insufficient or excessive materials. In addition, real-time monitoring of inventory status and dynamic comparison of material demand can minimize material procurement costs and improve capital utilization efficiency. Through such management, the construction team can focus more on construction quality, improve the overall efficiency of the project, and ensure the smooth progress of the project. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 A structural block diagram of a grouting system for housing construction provided by an embodiment of the present invention;

[0050] Figure 2 A structural block diagram of a data collection and analysis module provided in an embodiment of the present invention;

[0051] Figure 3 A structural block diagram of a demand forecasting and purchasing module provided in an embodiment of the present invention;

[0052] Figure 4 A structural block diagram of a meteorological monitoring and adjustment module provided in an embodiment of the present invention;

[0053] Figure 5 A structural block diagram of an inventory management and recycling module provided in an embodiment of the present invention;

[0054] Figure 6 A flow chart of a grouting method for housing construction provided by an embodiment of the present invention;

[0055] Figure 7 A flowchart for collecting and storing historical engineering project data, identifying the effect of weather on the grouting process, and obtaining the current meteorological status provided by an embodiment of the present invention;

[0056] Figure 8 A flowchart for predicting the demand for grouting materials for this grouting project provided by an embodiment of the present invention, and generating a purchase list based on the current meteorological conditions and inventory in combination with the weather influence pattern on the grouting process;

[0057] Fig. 9 A flowchart for analyzing the impact of the changed weather on the grouting project and adjusting the purchase list provided in an embodiment of the present invention;

[0058] Fig.10A flowchart for generating a recycling order when it is identified that there is still inventory remaining after the grouting project is completed is provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0059] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0060] It is understood that the terms "first", "second", etc. used in this application may be used herein to describe various elements, but unless otherwise specified, these elements are not limited by these terms. These terms are only used to distinguish a first element from another element. For example, without departing from the scope of this application, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script.

[0061] like Figure 6 As shown, a grouting method for housing construction, the method comprising:

[0062] S100, collect and store historical project data, including project time weather data, project progress, and material usage, analyze historical data, identify the weather impact pattern on the grouting process, and obtain the current weather status;

[0063] This step is mainly used to collect and store historical project data, including recording the start and end dates of each grouting project to ensure accurate positioning of the time range of project implementation, and then track key nodes, such as the start and completion time of the grouting stage. At the same time, between the start and end dates of the grouting project, the unit can automatically capture and store relevant historical meteorological data, including temperature, humidity, precipitation, wind speed, etc., to ensure a comprehensive understanding of meteorological changes. In addition, it is also responsible for tracking the material usage of each grouting project and recording the material consumption at different stages for subsequent analysis and comparison, ensuring the accuracy and traceability of the data, and facilitating the discovery of potential problems. In terms of impact assessment, it can evaluate the impact of different weather conditions on the grouting effect, such as how factors such as excessively high or low temperature, rainfall and wind speed affect the curing and strength of the material, and identify the most significant meteorological factors for the grouting effect through statistical analysis. At the same time, based on the collected historical data, the unit can analyze the influence of different meteorological factors on material consumption and establish a mathematical model to predict material demand under specific meteorological conditions. Finally, it can also obtain the current meteorological status in real time to compare with historical data to help determine whether the current construction environment is suitable.

[0064] This step can provide a scientific basis for project decision-making, help engineers develop more effective construction plans under different meteorological conditions, reduce risks, and thus improve construction efficiency. By identifying the meteorological factors that affect the grouting effect, the grouting schedule can be better planned, construction under adverse weather conditions can be avoided, and the overall efficiency of the project can be improved. At the same time, after understanding the relationship between meteorological factors and material consumption, material requirements can be more accurately predicted, material waste can be reduced, and project costs can be reduced. In addition, real-time monitoring of the current meteorological status and combined with historical data can timely identify potential meteorological risks, provide early warning information to the construction team, and make corresponding adjustments. Finally, by recording and analyzing the data of each project, a rich database can be gradually accumulated to provide reference for future projects and form a good experience inheritance mechanism.

[0065] like Figure 7 As shown, the method for collecting and storing historical engineering project data, identifying the influence pattern of weather on the grouting process, and obtaining the current meteorological status specifically includes the following steps:

[0066] S110, recording the start and end dates of the grouting project in each engineering project, and reading the historical meteorological data between the start and end dates, and the material consumption of each grouting project;

[0067] S120, evaluate the effect of grouting under different weather conditions, identify the meteorological factors that affect the grouting effect, and the relationship between different meteorological factors and material consumption.

[0068] Among them, the method of evaluating the effect of grouting under different weather conditions, identifying the meteorological factors that affect the grouting effect, and the relationship between different meteorological factors and material consumption specifically includes the following steps:

[0069] The product of a single meteorological factor and the meteorological regression coefficient is taken as the basic influence of each individual meteorological factor on the grouting effect;

[0070] The product of the single material consumption and the material consumption coefficient is taken as the material consumption influence part of the material consumption of each stage on the grouting effect;

[0071] The final product obtained by multiplying each pair of meteorological factors and material consumption by the interaction coefficient is taken as the interaction impact part;

[0072] A multiple regression model was constructed using the basic influence part, the material consumption influence part and the interaction influence part;

[0073] The multivariate regression model is trained using historical data, and the meteorological regression coefficient, material consumption coefficient and interaction coefficient in the multivariate regression model are estimated using the least square method, and then updated to obtain the trained multivariate regression model;

[0074] The required meteorological data and material consumption data are input into the trained multivariate regression model to obtain the prediction results of material consumption under different meteorological factors.

[0075] S200, based on the current housing construction demand, predict the demand for grouting materials for this grouting project, and generate a purchase list based on the current meteorological conditions and inventory in combination with the weather's impact on the grouting process;

[0076] This step is mainly responsible for predicting the demand for grouting materials for this grouting project based on the current housing project construction needs. This step first obtains the grouting time nodes for each stage in the construction plan, and clarifies the specific needs of the current housing project, including the area, depth and type of grouting, thereby laying the foundation for determining subsequent material needs. At the same time, combined with the historical data of the project, it is possible to identify the main factors affecting material demand and evaluate the material usage under different weather conditions so as to adjust the expected material demand under adverse weather conditions. In addition, a forecasting model was established to calculate the total amount of materials required for this grouting project based on the current meteorological conditions and project needs, and to subdivide it into material requirements for each construction stage.

[0077] After the demand forecast is completed, the current inventory status will be monitored in real time, the existing inventory of various grouting materials will be obtained, and the calculated material demand will be compared with the current inventory to identify the type and quantity of materials that need to be purchased. Based on the above information, the system can generate a detailed purchase list to ensure the timely supply of materials during the project.

[0078] The significant advantage of this step is that it can efficiently and accurately provide the construction team with material demand forecasts to ensure that the project is carried out on time and as required. By analyzing historical data and current weather conditions, it can effectively respond to different construction conditions and reduce resource waste caused by insufficient or excessive materials. In addition, real-time monitoring of inventory status and dynamic comparison of material demand can minimize material procurement costs and improve capital utilization efficiency. Through such management, the construction team can focus more on construction quality, improve the overall efficiency of the project, and ensure the smooth progress of the project.

[0079] like Figure 8 As shown, the demand for grouting materials for this grouting project is predicted, and a purchase list is generated based on the current meteorological conditions and inventory in combination with the weather's impact on the grouting process, including:

[0080] S210, obtaining the grouting time nodes of each stage in the construction plan, determining the specific requirements of the current housing project, including the area, depth and type of grouting, and clarifying the material requirements of each stage;

[0081] S220, obtain historical data of the same project, identify the main factors affecting material demand, and evaluate the material usage under different weather conditions;

[0082] S230, according to the current meteorological conditions and project requirements, calculate the total amount of materials required for this grouting project and allocate the material requirements for each construction stage;

[0083] S240, real-time monitoring of the current inventory status, obtaining the current inventory of various grouting materials, comparing the calculated material demand with the current inventory, identifying the type and quantity of materials to be purchased, and generating a purchase list based on the demand and inventory comparison results.

[0084] The method for calculating the total amount of materials required for this grouting project according to the current meteorological conditions and project requirements specifically includes the following steps:

[0085] Obtain historical weather conditions, including historical average temperature, humidity, and precipitation, and generate a normal distribution matching the historical weather conditions, recorded as historical distribution;

[0086] The exponential function is used to calculate the probability difference between the current weather status and the historical distribution, and the probability factors of the current temperature, humidity and precipitation are obtained;

[0087] Multiply the probability factors of current temperature, humidity and precipitation to get a comprehensive weather probability factor;

[0088] The area, depth and type characteristics of the grouting are obtained, and the area, depth and type characteristics of the grouting are combined with the weather probability factor in a linear combination to calculate the impact of various factors on material demand and obtain the total amount of materials required for this grouting project.

[0089] S300, real-time monitoring of weather forecast changes, and when there is a deviation between the weather forecast and the current weather, analyzing the impact of the changed weather on the grouting project and adjusting the purchase list;

[0090] This step is mainly responsible for real-time monitoring of weather forecast changes to ensure that the grouting project can quickly adjust material requirements and procurement lists in the face of weather changes. This step first obtains real-time weather forecast information and extracts meteorological factors that have a direct impact on the grouting effect, such as temperature, humidity, precipitation, and wind speed. By comparing the current weather status with the weather forecast, deviations and changes can be effectively identified.

[0091] After the deviation is identified, a quantitative analysis is performed to evaluate the degree of deviation between the weather forecast and the current weather and determine the specific magnitude of the change. This analysis helps the construction team understand the severity of the potential impact of the deviation on the grouting project, for example, increased precipitation may lead to a decline in construction quality, or high temperatures may affect the curing speed of the material. Based on these evaluation results, the system will recalculate the demand for grouting materials and make corresponding adjustments to the original procurement list to ensure the timeliness and adaptability of material supply under changing weather conditions.

[0092] The significant advantage of this step is that it can improve the flexibility and adaptability of the project, allowing the construction team to respond quickly when faced with uncertain weather conditions. By monitoring meteorological changes in real time, construction delays or material waste caused by weather factors can be effectively reduced. In addition, accurate deviation analysis and material recalculation ensure that the procurement list is always consistent with actual needs, preventing resource shortages or surpluses caused by weather changes. This dynamic management not only ensures the continuity and safety of construction, but also provides guarantees for the overall economic efficiency of the project.

[0093] like Fig. 9 As shown, the analysis of the impact of the changed weather on this grouting project and the adjustment of the purchase list include:

[0094] S310, obtaining real-time weather forecast information, extracting weather factors that affect the grouting effect, comparing the current weather status with the weather forecast, and identifying deviations and changes;

[0095] S320, quantitatively analyzing the degree of deviation between the weather forecast and the current weather, determining the specific range of change, and evaluating the potential impact of the deviation on the grouting project to obtain the deviation impact assessment result;

[0096] S330, based on the deviation impact assessment results, recalculate the demand for grouting materials and modify the original purchase list.

[0097] S400 monitors inventory changes in real time and predicts inventory usage. When it is identified that there is still inventory left after the grouting project is completed, a recycling order is generated.

[0098] The method of recalculating the demand for grouting materials according to the deviation impact assessment result and modifying the original purchase list specifically includes the following steps:

[0099] The exponential function is used to calculate the deviation of each meteorological factor, and the deviation impact factor corresponding to different meteorological factors is obtained;

[0100] Multiply the deviation impact factors corresponding to the meteorological factors to form a comprehensive meteorological impact factor;

[0101] Multiply the basic demand for grouting materials by the comprehensive meteorological impact factor to obtain the adjusted demand;

[0102] For the type of grouting material, given the sensitivity of the corresponding meteorological factors, the different meteorological deviations are multiplied by the sensitivity of the corresponding meteorological factors and added with 1 as the adjustment factor;

[0103] The adjustment factor is multiplied by the current inventory of each material to obtain the adjusted purchase quantity, and then the adjusted purchase quantity is processed using the max function to ensure that the adjusted purchase quantity is not a negative number, and a modified purchase order is generated.

[0104] This step is mainly responsible for real-time monitoring of the inventory of grouting materials, and evaluating the use of materials according to the construction plan to ensure the reasonable handling of the remaining inventory after the project is completed. The unit first obtains the inventory of various grouting materials in real time, analyzes the degree of match between the current inventory and project requirements, and identifies possible shortages or surpluses. This process ensures the reasonable allocation and use of materials and avoids waste of resources.

[0105] After completing the inventory status assessment, the material demand at each stage is predicted according to the construction plan, and the expected material consumption rate is calculated. This calculation can help the construction team understand the material usage trend and predict the inventory balance after the grouting project is completed. Through these analyses, the system can effectively determine whether there is excess material and provide a basis for subsequent recycling management.

[0106] When excess inventory is identified, a recycling order will be automatically generated, recording the type and quantity of materials to be recycled. This mechanism can not only handle excess inventory in a timely manner, but also provide more resource guarantees for subsequent projects and reduce unnecessary material waste.

[0107] like Fig.10 As shown, when it is identified that there is still inventory left after the grouting project is completed, a recycling order is generated, which specifically includes the following steps:

[0108] S410, obtains the inventory of various grouting materials in real time, analyzes the matching degree between the current inventory and project demand, and identifies potential shortage or surplus;

[0109] S420, predicting the demand for materials at each stage according to the construction plan, calculating the expected material consumption rate, calculating the inventory balance after the grouting project is completed, and determining whether there is excess material;

[0110] S430, when excess inventory is identified, a recycling order is automatically generated to record the type and quantity of materials that need to be recycled.

[0111] According to the construction plan, the demand for materials at each stage is predicted, mainly including:

[0112] Obtain the phase time limit and basic material requirements from the construction plan, and use the time series forecasting model, linear regression and machine learning model to predict future demand, and obtain the different demand for each phase time limit;

[0113] Assign weights to the time series forecasting model, linear regression, and machine learning model, and perform weighted average on different demands based on the assigned weights to obtain the predicted demand;

[0114] Based on historical data, the error rate of past predictions is calculated as the accuracy indicator of the current prediction, and the prediction accuracy is obtained based on the accuracy indicator;

[0115] Based on the forecast accuracy, the forecast demand is adjusted to obtain the error adjustment amount, and the error adjustment is applied to the demand forecast for each material to obtain the final adjusted demand amount.

[0116] Figure 1 A structural block diagram of a grouting system for housing construction provided by an embodiment of the present invention, such as Figure 1 As shown, the system comprises:

[0117] The data collection and analysis module 100 is used to collect and store historical engineering project data, including project time weather data, engineering project progress, material usage, analyze historical data, identify the weather effect mode on the grouting process, and obtain the current weather status;

[0118] The demand forecasting and purchasing module 200 is used to forecast the demand for grouting materials for this grouting project based on the current housing construction demand, and generate a purchase list based on the current meteorological conditions and inventory in combination with the weather's impact on the grouting process;

[0119] The weather monitoring and adjustment module 300 is used to monitor the weather forecast changes in real time, and when there is a deviation between the weather forecast and the current weather, analyze the impact of the changed weather on the grouting project and adjust the purchase list;

[0120] The inventory management and recycling module 400 is used to monitor the inventory changes in real time and predict the inventory usage. When it is identified that there is still inventory remaining after the grouting project is completed, a recycling order is generated.

[0121] like Figure 2 As shown, the data collection and analysis module includes:

[0122] The project recording unit 110 is used to record the start and end dates of the grouting project in each engineering project, and read the historical meteorological data between the start and end dates, as well as the material consumption of each grouting project;

[0123] The meteorological effect evaluation unit 120 is used to evaluate the effect of grouting under different weather conditions, identify the meteorological factors that affect the grouting effect, and the relationship between different meteorological factors and material consumption.

[0124] like Figure 3 As shown, the demand forecasting and procurement module includes:

[0125] The demand analysis unit 210 is used to obtain the grouting time nodes of each stage in the construction plan, determine the specific needs of the current housing project, including the area, depth and type of grouting, and clarify the material requirements of each stage;

[0126] A historical data reference unit 220, for obtaining historical data of the same project, identifying the main factors affecting material demand, and evaluating the material usage under different weather conditions;

[0127] The material demand prediction unit 230 is used to calculate the total amount of materials required for this grouting project according to the current meteorological conditions and project requirements, and allocate the material requirements for each construction stage;

[0128] The inventory comparison and procurement unit 240 is used to monitor the current inventory status in real time, obtain the existing inventory of various grouting materials, compare the calculated material demand with the current inventory, identify the type and quantity of materials that need to be purchased, and generate a procurement list based on the demand and inventory comparison results.

[0129] like Figure 4 As shown, the meteorological monitoring and adjustment module includes:

[0130] The meteorological acquisition and influence extraction unit 310 is used to obtain real-time meteorological forecast information, extract meteorological factors that affect the grouting effect, compare the current meteorological state with the meteorological forecast, and identify deviations and changes;

[0131] Deviation analysis and impact assessment unit 320, used to quantitatively analyze the degree of deviation between the weather forecast and the current weather, determine the specific range of change, and assess the potential impact of the deviation on the grouting project;

[0132] The demand adjustment and purchase modification unit 330 is used to recalculate the demand for grouting materials and modify the original purchase list according to the deviation impact assessment result.

[0133] like Figure 5 As shown, the inventory management and recycling module includes:

[0134] The inventory monitoring and matching analysis unit 410 is used to obtain the inventory of various grouting materials in real time, analyze the matching degree between the current inventory and the project demand, and identify possible shortage or surplus;

[0135] The demand forecasting and consumption calculation unit 420 is used to forecast the demand for materials at each stage according to the construction plan, calculate the expected material consumption rate, calculate the inventory balance after the grouting project is completed, and determine whether there is excess material;

[0136] The inventory recovery management unit 430 is used to automatically generate a recovery order when excess inventory is identified, and record the type and quantity of materials that need to be recovered.

[0137] It should be understood that, although each step in the flow chart of each embodiment of the present invention is shown in sequence according to the indication of the arrow, these steps are not necessarily performed in sequence according to the order indicated by the arrow. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0138] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0139] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0140] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0141] 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 and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A grouting method for housing construction, characterized in that: The method comprises the following steps: Collect and store historical project data, including project time weather data, project progress, and material usage. Analyze historical data to identify the impact of weather on the grouting process and obtain current weather conditions. Based on the current housing construction needs, the demand for grouting materials for this grouting project is predicted, and combined with the weather's impact on the grouting process, a purchase list is generated based on the current meteorological conditions and inventory; Monitor weather forecast changes in real time, and when there is a deviation between the weather forecast and the current weather, analyze the impact of the changed weather on the grouting project and adjust the purchase list; Monitor inventory changes in real time and predict inventory usage. When it is identified that there is still inventory left after the grouting project is completed, a recycling order is generated; The method of collecting and storing historical engineering project data, identifying the effect of weather on the grouting process, and obtaining the current meteorological status includes the following steps: Record the start and end dates of the grouting works in each project, and read the historical meteorological data between the start and end dates, as well as the material consumption of each grouting work; Evaluate the effect of grouting under different weather conditions, identify the meteorological factors that affect the grouting effect, and the relationship between different meteorological factors and material consumption; The method for evaluating the effect of grouting under different weather conditions, identifying the meteorological factors affecting the grouting effect, and the relationship between different meteorological factors and material consumption comprises the following steps: The product of a single meteorological factor and the meteorological regression coefficient is taken as the basic influence of each individual meteorological factor on the grouting effect; The product of the single material consumption and the material consumption coefficient is taken as the material consumption influence part of the material consumption of each stage on the grouting effect; The final product obtained by multiplying each pair of meteorological factors and material consumption by the interaction coefficient is taken as the interaction impact part; A multiple regression model was constructed using the basic influence part, the material consumption influence part and the interaction influence part; The multivariate regression model is trained using historical data, and the meteorological regression coefficient, material consumption coefficient and interaction coefficient in the multivariate regression model are estimated using the least squares method, and then updated to obtain the trained multivariate regression model; The required meteorological data and material consumption data are input into the trained multivariate regression model to obtain the prediction results of material consumption under different meteorological factors; The prediction of the demand for grouting materials for this grouting project, combined with the weather's impact on the grouting process, generates a purchase list based on the current meteorological conditions and inventory, specifically including the following steps: Obtain the grouting time nodes for each stage in the construction plan, determine the specific needs of the current housing project, including the area, depth and type of grouting, and clarify the material requirements for each stage; Obtain historical data on the same project to identify the main factors affecting material requirements and assess material usage under different weather conditions; Calculate the total amount of materials required for this grouting project based on the current meteorological conditions and project requirements, and allocate material requirements for each construction stage; Monitor the current inventory status in real time, obtain the current inventory of various grouting materials, compare the calculated material demand with the current inventory, identify the type and quantity of materials to be purchased, and generate a purchase list based on the demand and inventory comparison results; The method for calculating the total amount of materials required for this grouting project according to the current meteorological conditions and project requirements specifically includes the following steps: Obtain historical weather conditions, including historical average temperature, humidity, and precipitation, and generate a normal distribution matching the historical weather conditions, recorded as historical distribution; The exponential function is used to calculate the probability difference between the current weather status and the historical distribution, and the probability factors of the current temperature, humidity and precipitation are obtained; Multiply the probability factors of current temperature, humidity and precipitation to get a comprehensive weather probability factor; Obtain the area, depth and type characteristics of grouting, and combine the area, depth and type characteristics of grouting with the weather probability factor in a linear combination to calculate the impact of various factors on material demand and obtain the total amount of materials required for this grouting project; The method of analyzing the impact of the changed weather on the grouting project and adjusting the purchase list specifically includes the following steps: Obtain real-time weather forecast information, extract weather factors that affect grouting results, compare current weather conditions with weather forecasts, and identify deviations and changes; Quantitatively analyze the degree of deviation between the weather forecast and the current weather, determine the specific range of change, and evaluate the potential impact of the deviation on the grouting project to obtain the deviation impact assessment results; Recalculate the demand for grouting materials based on the deviation impact assessment results and modify the original purchase list; The method of recalculating the demand for grouting materials according to the deviation impact assessment result and modifying the original purchase list specifically includes the following steps: The exponential function is used to calculate the deviation of each meteorological factor, and the deviation impact factor corresponding to different meteorological factors is obtained; Multiply the deviation impact factors corresponding to the meteorological factors to form a comprehensive meteorological impact factor; Multiply the basic demand for grouting materials by the comprehensive meteorological impact factor to obtain the adjusted demand; For the type of grouting material, given the sensitivity of the corresponding meteorological factors, the different meteorological deviations are multiplied by the sensitivity of the corresponding meteorological factors and added with 1 as the adjustment factor; The adjustment factor is multiplied by the current inventory of each material to obtain the adjusted purchase quantity, and then the adjusted purchase quantity is processed using the max function to ensure that the adjusted purchase quantity is not a negative number, and a modified purchase order is generated.

2. The grouting method for housing construction according to claim 1, characterized in that: When it is identified that there is still inventory left after the grouting project is completed, a recycling order is generated, which specifically includes the following steps: Obtain the inventory of various grouting materials in real time, analyze the matching degree between the current inventory and project demand, and identify potential shortages or surpluses; According to the construction plan, forecast the demand for materials at each stage, calculate the expected material consumption rate, calculate the inventory balance after the grouting project is completed, and determine whether there is excess material; When excess inventory is identified, a recycling order is automatically generated, recording the type and quantity of materials that need to be recycled.

3. The grouting method for housing construction according to claim 2, characterized in that: The method for predicting the demand for materials at each stage according to the construction plan specifically includes the following steps: Obtain the phase time limit and basic material requirements from the construction plan, and use the time series forecasting model, linear regression and machine learning model to predict future demand, and obtain the different demand for each phase time limit; Assign weights to the time series forecasting model, linear regression, and machine learning model, and perform weighted average on different demands based on the assigned weights to obtain the predicted demand; Based on historical data, the error rate of past predictions is calculated as the accuracy indicator of the current prediction, and the prediction accuracy is obtained based on the accuracy indicator; Based on the forecast accuracy, the forecast demand is adjusted to obtain the error adjustment amount, and the error adjustment is applied to the demand forecast for each material to obtain the final adjusted demand amount.

4. A grouting system for housing construction, the system applying the grouting method for housing construction as claimed in any one of claims 1 to 3, characterized in that: The system comprises: Data collection and analysis module, used to collect and store historical project data, including project time weather data, project progress, material usage, analyze historical data, identify the impact of weather on the grouting process, and obtain current weather conditions; The demand forecasting and procurement module is used to predict the demand for grouting materials for this grouting project based on the current housing construction needs, and generate a procurement list based on the current meteorological conditions and inventory in combination with the weather's impact on the grouting process; The weather monitoring and adjustment module is used to monitor the weather forecast changes in real time. When there is a deviation between the weather forecast and the current weather, it analyzes the impact of the changed weather on the grouting project and adjusts the purchase list. The inventory management and recycling module is used to monitor inventory changes in real time and predict inventory usage. When it is identified that there is still inventory left after the grouting project is completed, a recycling order is generated.

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