Construction area drainage method and system based on optimal drainage efficiency

Abstract

The invention discloses a construction area drainage method and system based on the optimal drainage efficiency, and relates to the technical field of assembly type construction, and the method comprises the following steps: collecting the historical rainfall data of a local rainy season, constructing a rainy season rainfall prediction model, carrying out the training, and completing the prediction of the rainfall of the current rainy season; on the basis of the precipitation in the current rainy season and geological exploration data, performing partitioned drainage management on different buildings of the fabricated residential building group; hydrodynamic simulation models of different partitions are designed, hydrodynamic processes under different drainage system design schemes are analyzed through numerical simulation, the drainage system design scheme corresponding to the highest drainage efficiency serves as the optimal scheme, and drainage operation of rainy season construction is completed. The method can ensure that underground dewatering measures are complete during the earth excavation period and the preemptive construction period, effectively meets the requirements of field dewatering and drainage during the construction period, and reduces the influence of dewatering on the construction quality and the construction progress of infrastructures.

Description

Technical Field

[0001] The present invention relates to the technical field of prefabricated construction, and more particularly to a construction area drainage method and system based on optimal drainage efficiency. Background Art

[0002] As a pillar industry of the national economy, the construction industry has made important contributions to my country's economic and social development, urban and rural construction, and improvement of people's livelihood. However, the traditional construction industry generally has problems such as high resource consumption, high pollution emissions, low production efficiency, high safety risks, and many common quality problems. Against this background, the new type of building industrialization represented by the prefabricated building model is receiving more and more attention.

[0003] Prefabricated buildings are buildings that use advanced technologies such as standardized design, factory production, and assembly construction to produce prefabricated components in factories and then transport them to the site for assembly. Compared with traditional buildings, they have advantages in construction cycle, resource consumption, energy conservation and environmental protection, and are therefore widely used in modern buildings. However, during the construction of prefabricated residential buildings, they will be affected by many external factors, such as weather and other natural factors. Among them, the rainy season will bring considerable difficulties to the installation project. The organization of rainy season construction should adhere to the principle of prevention first. Before construction, according to the construction characteristics of the sub-projects, necessary rain protection measures should be taken in advance, and the waterproofing and drainage methods on the site and the work surface should be strengthened to ensure that the construction in the rainy season proceeds normally and is not affected by seasonal climate.

[0004] The drainage system in the construction area is one of the important factors in rainy season construction. If there is a problem with the drainage system, problems such as poor drainage during the construction process will have a great impact on the construction progress. Therefore, how to ensure that the ground drainage measures during earthwork excavation and rush work are complete and effective and meet the requirements of on-site drainage during construction, and reduce the impact of precipitation on the quality and progress of infrastructure construction, is a technical problem that technical personnel in this field urgently need to solve. Summary of the invention

[0005] In view of this, the present invention provides a construction area drainage method and system based on optimal drainage efficiency, which solves the problems existing in the background technology.

[0006] In order to achieve the above object, the present invention provides the following technical solutions:

[0007] A construction area drainage method based on optimal drainage efficiency comprises the following steps:

[0008] Collect historical precipitation data of the local rainy season, build and train the rainy season precipitation prediction model, and complete the prediction of the current rainy season precipitation;

[0009] Based on the current rainy season precipitation and geological survey data, drainage management is carried out in different areas of the prefabricated residential complex;

[0010] Design hydrodynamic simulation models for different partitions, analyze the hydrodynamic processes under different drainage system design schemes through numerical simulation, and take the drainage system design scheme corresponding to the highest drainage efficiency as the optimal scheme to complete the drainage work in the rainy season.

[0011] Optionally, collect historical precipitation data for the local rainy season, specifically:

[0012] Based on several observation stations in the area where the construction area is located, the original precipitation data of each observation station is obtained;

[0013] The original precipitation data is preprocessed, and the dates when the daily precipitation exceeds the preset threshold are determined as rainy days for the corresponding observation stations. The rainy season precipitation time series of each observation station is formed according to the daily precipitation on rainy days each year.

[0014] Optionally, preprocess the raw precipitation data, specifically:

[0015] The original precipitation data were screened to obtain precipitation characteristics including station number, longitude and latitude, altitude, precipitation, time record, and temperature, air pressure, relative humidity, wind direction and wind speed;

[0016] The screened precipitation features are checked for consistency, outliers are removed, and missing values ​​are filled to complete data cleaning;

[0017] The maximum and minimum data normalization method is used to normalize the cleaned precipitation characteristics to eliminate the differences in the order of magnitude of each dimensional data.

[0018] Optionally, the rainy season precipitation prediction model includes an input layer, a feature extraction network, an attention network, and an output layer connected in sequence;

[0019] The feature extraction network includes at least one LSTM layer, which is used to extract features from the data received by the input layer to obtain historical time series features;

[0020] The attention network includes several self-attention blocks, which are used to perform attention operations on historical time series features to obtain target attention weights;

[0021] The output layer is used to perform weighted summation of historical time series features and target attention weights to obtain target time series features.

[0022] Optionally, the training of the rainy season precipitation prediction model includes the following steps:

[0023] The collected historical precipitation data of the local rainy season are regarded as precipitation observation data, and the precipitation forecast data of the same time period are obtained according to the numerical weather forecast;

[0024] According to the location of the observation station, the precipitation forecast data is divided into regions and matched with the precipitation observation data;

[0025] The rainy season precipitation prediction model is iteratively trained using the matching data until the precipitation error meets the preset error condition, thereby obtaining a trained rainy season precipitation prediction model.

[0026] Optionally, drainage management can be carried out for different floors of the prefabricated residential complex, specifically:

[0027] Drainage zones are divided according to the expected living conditions of residents, taking into account the overall planning and topography of the prefabricated residential complex;

[0028] According to the divided drainage zones, the locations of control points and pumping stations are determined, the pipe diameter is selected according to the current rainy season precipitation, the drainage zone scheme is optimized according to the pipeline consumption resources, and finally the best drainage zone scheme is determined.

[0029] Optionally, design hydrodynamic simulation models for different partitions, specifically:

[0030] Align and synchronize historical precipitation data, hydrological data, and terrain data in space and time, obtain coupled multi-source data, and establish three-dimensional hydrodynamic simulation models for different partitions;

[0031] By setting different rainfall scenarios to simulate the drainage process caused by rainy season precipitation, the finite element method is used to solve the equations of the three-dimensional hydrodynamic simulation model to analyze the propagation path, water accumulation depth and flow rate changes of rainwater in different partitions.

[0032] Optionally, obtaining the optimal solution includes the following steps:

[0033] The drainage data output by the hydrodynamic simulation model is converted into three-dimensional data, and the drainage process is superimposed on the real terrain through AR equipment;

[0034] Use hydrodynamic simulation models to design different drainage systems, analyze the hydrodynamic processes of different drainage systems through digital simulation, and obtain the corresponding drainage efficiency;

[0035] The drainage system design schemes are sorted from high to low according to drainage efficiency, and the drainage system design scheme with the highest drainage efficiency is selected as the optimal scheme.

[0036] A construction area drainage system based on optimal drainage efficiency, applying the construction area drainage method based on optimal drainage efficiency as described in any one of the above items, comprising a precipitation prediction module, a zoning drainage design module and a drainage system design module connected in sequence;

[0037] The precipitation prediction module is used to collect historical precipitation data of the local rainy season, build and train the rainy season precipitation prediction model, and complete the prediction of the current rainy season precipitation;

[0038] The zoned drainage design module is used to manage the zoned drainage of different buildings in the prefabricated residential complex according to the current rainy season precipitation and geological survey data;

[0039] The drainage system design module is used to design hydrodynamic simulation models for different partitions. Through numerical simulation, the hydrodynamic process under different drainage system design schemes is analyzed. The drainage system design scheme corresponding to the highest drainage efficiency is selected as the optimal scheme to complete the drainage work in the rainy season.

[0040] It can be seen from the above technical solutions that compared with the prior art, the present invention discloses a construction area drainage method and system based on optimal drainage efficiency. Based on the deep learning algorithm, the current rainy season precipitation can be quickly and accurately predicted. Combined with geological survey data, the optimal zoning drainage plan for the prefabricated residential building complex can be obtained. The drainage process under different drainage system design conditions can be analyzed through the hydrodynamic simulation model, and the design plan with the highest drainage efficiency can be determined, thereby ensuring that the underground drainage measures during earth excavation and rush work are complete and effective and meet the requirements of on-site drainage during construction, thereby reducing the impact of precipitation on the quality and progress of infrastructure construction. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0042] Figure 1 A flow chart of a construction area drainage method based on optimal drainage efficiency provided by the present invention;

[0043] Figure 2 This is a structural diagram of the construction area drainage system based on optimal drainage efficiency provided by the present invention. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] Construction in the rainy season should be based on prevention, adopt rain prevention measures, and strengthen drainage methods to ensure that construction production in the rainy season is not affected by seasonal conditions. In order to meet the requirements of on-site drainage during construction, the embodiment of the present invention discloses a construction area drainage method based on optimal drainage efficiency, such as Figure 1 As shown, the following steps are included:

[0046] Collect historical precipitation data of the local rainy season, build and train the rainy season precipitation prediction model, and complete the prediction of the current rainy season precipitation;

[0047] Based on the current rainy season precipitation and geological survey data, drainage management is carried out in different areas of the prefabricated residential complex;

[0048] Design hydrodynamic simulation models for different partitions, analyze the hydrodynamic processes under different drainage system design schemes through numerical simulation, and take the drainage system design scheme corresponding to the highest drainage efficiency as the optimal scheme to complete the drainage work in the rainy season.

[0049] The rainy season is a humid and rainy season with concentrated precipitation every year. Heavy rain and rainstorms often occur, which will cause huge economic losses to prefabricated construction and threaten personal safety. Accurately predicting the precipitation in the rainy season is of great significance for the subsequent design of drainage systems and reducing the impact of precipitation in the rainy season on construction progress and quality. To this end, this embodiment proposes a prediction scheme for the current rainy season precipitation. Specifically, historical precipitation data of the local rainy season is collected, a rainy season precipitation prediction model is constructed and trained, and the current rainy season precipitation prediction is completed.

[0050] Furthermore, the historical precipitation data of the local rainy season is collected, specifically:

[0051] Based on several observation stations in the area where the construction area is located, the original precipitation data of each observation station is obtained;

[0052] The original precipitation data is preprocessed, and the dates when the daily precipitation exceeds the preset threshold are determined as rainy days for the corresponding observation stations. The rainy season precipitation time series of each observation station is formed according to the daily precipitation on rainy days each year.

[0053] Furthermore, the original precipitation data is preprocessed as follows:

[0054] The original precipitation data were screened to obtain precipitation characteristics including station number, longitude and latitude, altitude, precipitation, time record, and temperature, air pressure, relative humidity, wind direction and wind speed;

[0055] The screened precipitation characteristics are checked for consistency, outliers are removed, and missing values ​​are filled to complete data cleaning; data cleaning is to correct obvious errors, consistency checks can find out whether the data exceeds the normal range, whether it is logically reasonable or contradictory, and missing value filling can choose the arithmetic mean of two adjacent data to fill in the missing value to ensure the validity, completeness and accuracy of the data;

[0056] The maximum and minimum data normalization method is used to normalize the cleaned precipitation characteristics to eliminate the differences in the order of magnitude of the data in each dimension and avoid the prediction errors caused by the large difference between input and output.

[0057] Furthermore, the rainy season precipitation prediction model includes an input layer, a feature extraction network, an attention network, and an output layer connected in sequence;

[0058] The feature extraction network includes at least one LSTM layer, which is used to extract features from the data received by the input layer to obtain historical time series features;

[0059] The attention network includes several self-attention blocks, which are used to perform attention operations on historical time series features to obtain target attention weights;

[0060] The output layer is used to perform weighted summation of historical time series features and target attention weights to obtain target time series features.

[0061] This embodiment uses LSTM as the basic architecture of the rainy season precipitation prediction model. By processing historical sequences, the seasonality, periodicity and long-term change trend characteristics in historical time series features are captured based on the attention network. By weighting the historical time series features, the model can focus on the importance of different time series features, thereby providing a guarantee for the accuracy of precipitation prediction.

[0062] Furthermore, the training of the rainy season precipitation prediction model includes the following steps:

[0063] The collected historical precipitation data of the local rainy season is regarded as precipitation observation data, and the precipitation forecast data of the same time period is obtained according to the numerical weather forecast; among them, the numerical weather forecast is a method of predicting the atmospheric motion state and weather phenomena in a certain period of time in the future by solving the equations of fluid mechanics and thermodynamics describing the weather evolution process based on the actual atmospheric conditions and certain initial and boundary conditions through large computers;

[0064] According to the location of the observation station, the precipitation forecast data is divided into regions and matched with the precipitation observation data;

[0065] The rainy season precipitation prediction model is iteratively trained using the matching data until the precipitation error meets the preset error condition, thereby obtaining a trained rainy season precipitation prediction model.

[0066] In this embodiment, by training the model with precipitation observation data and precipitation prediction data, the diversity of data can be improved, thereby facilitating obtaining more accurate prediction results; by dividing the precipitation prediction data into regions and matching them with the precipitation observation data, the model can focus on the relationship between precipitation and geographic information, thereby improving the accuracy of the model's precipitation prediction.

[0067] Furthermore, drainage management is carried out in different areas of the prefabricated residential complex, specifically:

[0068] Drainage zones are divided according to the expected living conditions of residents, taking into account the overall planning and topography of the prefabricated residential complex;

[0069] According to the divided drainage zones, the locations of control points and pumping stations are determined, the pipe diameter is selected according to the current rainy season precipitation, the drainage zone scheme is optimized according to the pipeline consumption resources, and finally the best drainage zone scheme is determined.

[0070] In this embodiment, different drainage scales can be divided according to population size to carry out drainage zoning, and the following rules need to be followed: the overall scale of the prefabricated residential building complex determines the approximate scope of the drainage area boundary, and the drainage zoning is divided according to the comparison of rainwater collection degree based on terrain planning. Specifically, in hilly and undulating areas, watershed lines can be drawn by contour lines; in areas with flat terrain and no obvious watershed lines, drainage zones are divided according to the principle of centralized treatment of drainage nearby. In addition, the location of the pump station should take into account factors such as environmental sanitation, geology, power supply and construction conditions, and seek the opinions of planning, environmental protection, urban construction and other departments.

[0071] Furthermore, hydrodynamic simulation models of different partitions are designed, specifically:

[0072] Align and synchronize historical precipitation data, hydrological data, and terrain data in space and time to ensure data consistency in space and time, obtain coupled multi-source data, and establish three-dimensional hydrodynamic simulation models for different partitions;

[0073] By setting different rainfall scenarios to simulate the drainage process caused by rainy season precipitation, the finite element method is used to solve the equations of the three-dimensional hydrodynamic simulation model to analyze the propagation path, water accumulation depth and flow rate changes of rainwater in different partitions.

[0074] Among them, historical precipitation data include rainfall amount, rainfall intensity, temperature, wind speed, etc., which can be obtained through observation sites or satellite remote sensing; hydrological data include water level, flow, sediment data, etc., which can be collected through hydrological monitoring equipment; terrain data include elevation, surface cover, terrain changes and other information, which can be represented by digital elevation models.

[0075] Furthermore, obtaining the optimal solution includes the following steps:

[0076] The drainage data output by the hydrodynamic simulation model is converted into three-dimensional data, and the drainage process is superimposed on the real terrain through AR equipment;

[0077] Use hydrodynamic simulation models to design different drainage systems, analyze the hydrodynamic processes of different drainage systems through digital simulation, and obtain the corresponding drainage efficiency;

[0078] The drainage system design schemes are sorted from high to low according to drainage efficiency, and the drainage system design scheme with the highest drainage efficiency is selected as the optimal scheme.

[0079] Based on the above scheme, this embodiment adopts data coupling, numerical simulation and augmented reality technology, which can intuitively observe the drainage process under different drainage system design conditions and determine the drainage structure design scheme corresponding to the highest drainage efficiency. Based on this, it can ensure that the underground drainage measures during earth excavation and rush work are complete and effective and meet the requirements of on-site drainage during construction, thereby reducing the impact of precipitation on the quality and progress of infrastructure construction.

[0080] and Figure 1 Corresponding to the method described above, the embodiment of the present invention also provides a construction area drainage system based on optimal drainage efficiency, which is used to Figure 1 The specific implementation of the method in the present invention is that a construction area drainage system based on optimal drainage efficiency provided by the embodiment of the present invention can be applied to computer terminals or various mobile devices, such as Figure 2 As shown, it specifically includes a precipitation prediction module, a partition drainage design module and a drainage system design module connected in sequence;

[0081] The precipitation prediction module is used to collect historical precipitation data of the local rainy season, build and train the rainy season precipitation prediction model, and complete the prediction of the current rainy season precipitation;

[0082] The zoned drainage design module is used to manage the zoned drainage of different buildings in the prefabricated residential complex according to the current rainy season precipitation and geological survey data;

[0083] The drainage system design module is used to design hydrodynamic simulation models for different partitions. Through numerical simulation, the hydrodynamic process under different drainage system design schemes is analyzed. The drainage system design scheme corresponding to the highest drainage efficiency is selected as the optimal scheme to complete the drainage work in the rainy season.

[0084] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0085] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A construction area drainage method based on optimal drainage efficiency, characterized in that: The following steps are involved: Collect historical precipitation data of the local rainy season, build and train the rainy season precipitation prediction model, and complete the prediction of the current rainy season precipitation; Based on the current rainy season precipitation and geological survey data, drainage management is carried out in different areas of the prefabricated residential complex; Design hydrodynamic simulation models for different partitions, analyze the hydrodynamic processes under different drainage system design schemes through numerical simulation, and take the drainage system design scheme corresponding to the highest drainage efficiency as the optimal scheme to complete the drainage work in the rainy season.

2. A construction area drainage method based on optimal drainage efficiency according to claim 1, characterized in that: Collect historical precipitation data of the local rainy season, specifically: Based on several observation stations in the area where the construction area is located, the original precipitation data of each observation station is obtained; The original precipitation data is preprocessed, and the dates when the daily precipitation exceeds the preset threshold are determined as rainy days for the corresponding observation stations. The rainy season precipitation time series of each observation station is formed according to the daily precipitation on rainy days each year.

3. A construction area drainage method based on optimal drainage efficiency according to claim 2, characterized in that: The original precipitation data is preprocessed as follows: The original precipitation data were screened to obtain precipitation characteristics including station number, longitude and latitude, altitude, precipitation, time record, and temperature, air pressure, relative humidity, wind direction and wind speed; The screened precipitation features are checked for consistency, outliers are removed, and missing values ​​are filled to complete data cleaning; The maximum and minimum data normalization method is used to normalize the cleaned precipitation characteristics to eliminate the differences in the order of magnitude of each dimensional data.

4. A construction area drainage method based on optimal drainage efficiency according to claim 1, characterized in that: The rainy season precipitation prediction model includes an input layer, a feature extraction network, an attention network, and an output layer connected in sequence; The feature extraction network includes at least one LSTM layer, which is used to extract features from the data received by the input layer to obtain historical time series features; The attention network includes several self-attention blocks, which are used to perform attention operations on historical time series features to obtain target attention weights; The output layer is used to perform weighted summation of historical time series features and target attention weights to obtain target time series features.

5. A construction area drainage method based on optimal drainage efficiency according to claim 1, characterized in that: The training of the rainy season precipitation prediction model includes the following steps: The collected historical precipitation data of the local rainy season are regarded as precipitation observation data, and the precipitation forecast data of the same time period are obtained according to the numerical weather forecast; According to the location of the observation station, the precipitation forecast data is divided into regions and matched with the precipitation observation data; The rainy season precipitation prediction model is iteratively trained using the matching data until the precipitation error meets the preset error condition, thereby obtaining a trained rainy season precipitation prediction model.

6. A construction area drainage method based on optimal drainage efficiency according to claim 1, characterized in that: Carry out zoned drainage management for different buildings in prefabricated residential complexes, specifically: Drainage zones are divided according to the expected living conditions of residents, taking into account the overall planning and topography of the prefabricated residential complex; According to the divided drainage zones, the locations of control points and pumping stations are determined, the pipe diameter is selected according to the current rainy season precipitation, the drainage zone scheme is optimized according to the pipeline consumption resources, and finally the best drainage zone scheme is determined.

7. A construction area drainage method based on optimal drainage efficiency according to claim 1, characterized in that: Design hydrodynamic simulation models for different partitions, specifically: Align and synchronize historical precipitation data, hydrological data, and terrain data in space and time, obtain coupled multi-source data, and establish three-dimensional hydrodynamic simulation models for different partitions; By setting different rainfall scenarios to simulate the drainage process caused by rainy season precipitation, the finite element method is used to solve the equations of the three-dimensional hydrodynamic simulation model to analyze the propagation path, water accumulation depth and flow rate changes of rainwater in different partitions.

8. The construction area drainage method based on optimal drainage efficiency according to claim 1, characterized in that: The acquisition of the optimal solution includes the following steps: The drainage data output by the hydrodynamic simulation model is converted into three-dimensional data, and the drainage process is superimposed on the real terrain through AR equipment; Use hydrodynamic simulation models to design different drainage systems, analyze the hydrodynamic processes of different drainage systems through digital simulation, and obtain the corresponding drainage efficiency; The drainage system design schemes are sorted from high to low according to drainage efficiency, and the drainage system design scheme with the highest drainage efficiency is selected as the optimal scheme.

9. A construction area drainage system based on optimal drainage efficiency, using the construction area drainage method based on optimal drainage efficiency as described in any one of claims 1 to 8, characterized in that: It includes a precipitation prediction module, a zone drainage design module and a drainage system design module which are connected in sequence; The precipitation prediction module is used to collect historical precipitation data of the local rainy season, build and train the rainy season precipitation prediction model, and complete the prediction of the current rainy season precipitation; The zoned drainage design module is used to manage the zoned drainage of different buildings in the prefabricated residential complex according to the current rainy season precipitation and geological survey data; The drainage system design module is used to design hydrodynamic simulation models for different partitions. Through numerical simulation, the hydrodynamic process under different drainage system design schemes is analyzed. The drainage system design scheme corresponding to the highest drainage efficiency is selected as the optimal scheme to complete the drainage work in the rainy season.

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