CN118037027A - Intelligent civil engineering construction management method and system - Google Patents
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Abstract
The application relates to the technical field of data processing methods, in particular to an intelligent civil engineering construction management method and system, wherein the method comprises the following steps: determining a construction flow based on a first 3D construction model of a preset first area, and obtaining construction flow information; the first area is an area where civil engineering construction is planned; the construction flow comprises a plurality of construction sub-plans, and construction content and ideal duration of each construction sub-plan are represented by construction flow information; sequencing the plurality of construction sub-plans according to the construction sequence, and generating a first construction sequence based on the sequenced plurality of construction sub-plans and construction flow information; updating the first construction sequence according to the first climate data to obtain a second construction sequence; the first climate data is historical climate data of the first region; and constructing the first area according to the second construction sequence. The scheme provided by the application can improve the rationality and scientificity of the construction schedule, thereby improving the construction efficiency.
Description
Technical Field
The application relates to the technical field of data processing methods, in particular to an intelligent civil engineering construction management method and system.
Background
Along with development of intelligent management technology, civil engineering construction management gradually realizes informatization and intelligence, and improves construction efficiency and quality by introducing advanced technical means and management systems. The building information model (Building Information Modeling, BIM) is an important tool applied to the field of civil engineering electric energy, and the BIM technology is utilized to convert building related data information into a visual two-dimensional (2D) or three-dimensional (3D) model, so that the visualization and parameterization of construction management are realized, and constructors can sequentially perform construction of each stage according to a construction schedule generated by the BIM model.
However, in the related art, since civil engineering construction is greatly affected by weather conditions, particularly outdoor construction, in the course of construction, there may occur a case where a construction plan cannot be normally executed due to weather effects, thereby disturbing a construction schedule, not only increasing labor consumption costs, but also reducing construction efficiency.
Therefore, how to improve the scientificity of the construction schedule and the construction efficiency is a problem to be solved at present.
Disclosure of Invention
In order to solve the related technical problems, the embodiment of the application provides an intelligent civil engineering construction management method and system, which can improve the rationality and scientificity of a construction schedule, thereby improving the construction efficiency.
The technical scheme of the embodiment of the application is realized as follows:
the embodiment of the application provides an intelligent civil engineering construction management method, which comprises the following steps:
Determining a construction flow based on a first 3D construction model of a preset first area, and obtaining construction flow information; the first area is an area where civil engineering construction is planned; the construction flow comprises a plurality of construction sub-plans, and the construction flow information represents construction content and ideal duration of each construction sub-plan;
sequencing the plurality of construction sub-plans according to a construction sequence, and generating a first construction sequence based on the sequenced plurality of construction sub-plans and the construction flow information;
updating the first construction sequence according to the first climate data to obtain a second construction sequence; the first climate data is historical climate data of the first region;
Constructing the first area according to the second construction sequence;
Updating the first construction sequence according to the first climate data to obtain a second construction sequence, wherein the method comprises the following steps:
Based on the first time information, acquiring climate data of the same time period of the previous N 1 years to obtain first climate data; n 1 is 1 or an integer greater than 1; the first time information represents construction time corresponding to a first construction sequence;
based on the first climate data and the first time information, predicting the climate condition in the process of executing the first construction sequence to obtain first climate information;
Starting from a first construction sub-plan in the first construction sequence, determining weather conditions of the construction sub-plans based on the first weather information for each construction sub-plan, and obtaining second weather information; judging the matching degree of the construction sub-plan and the corresponding weather conditions based on the second weather information, and updating the construction time of the construction sub-plan and the later construction sub-plans in the first construction sequence under the condition that the matching degree is lower than a preset threshold value;
obtaining a second construction sequence based on the updated construction sub-plan;
The weather conditions comprise a plurality of weather factors, and the matching degree of each construction sub-plan and the corresponding weather conditions is expressed as follows:
；
M represents the matching degree of the construction sub-plan and the corresponding weather conditions, and M is more than or equal to 0 and less than or equal to 1; n represents the number of climate factors associated with the degree of matching; w i represents the weight of the ith climate factor; c i represents the i-th climate factor matching score with the construction plan.
In the above scheme, the method further comprises:
dividing the first region into a plurality of second regions;
generating a second 3D construction model of each second region using the BIM model based on the terrain parameters of each second region;
and integrating all the second 3D construction models to obtain the first 3D construction model.
In the above scheme, the integrating all the second 3D construction models to obtain the first 3D construction model includes:
and based on the position information of each second 3D construction model, performing splicing and integration processing on all the second 3D construction models to obtain the first 3D construction model.
In the above scheme, the terrain parameters include:
Elevation data;
gradient;
Slope direction;
surface coverage data;
Hydrologic data;
Geological information.
In the above scheme, the matching degree score C i of each climate factor and the construction plan is expressed as:
；
Where v t represents an actual measured value of the climate factor, v TL represents a preset lower threshold value of the climate factor, and v TH represents a preset upper threshold value of the climate factor.
In the above scheme, the climate factors include temperature, humidity, precipitation and wind speed.
In the above scheme, the acquiring the climate data of the same time period of the previous N 1 years based on the first time information to obtain the first climate data includes:
Acquiring climate data of the previous N 1 years to obtain second climate data; n 1 is more than or equal to 3;
Acquiring climate data N 2 months before the current moment to obtain third climate data;
Based on the third climate data, selecting the climate data of N 3 years with the highest similarity with the current weather change rule from the second climate data to obtain fourth climate data;
and acquiring climate data in the same time period from the fourth climate data based on the first time information to obtain first climate data.
The embodiment of the application also provides an intelligent civil engineering construction management system, which comprises:
The computing unit is used for determining a construction flow based on a first 3D construction model of a preset first area to obtain construction flow information; the first area is an area where civil engineering construction is planned; the construction flow comprises a plurality of construction sub-plans, and the construction flow information represents construction content and ideal duration of each construction sub-plan;
the generation unit is used for sequencing the plurality of construction sub-plans according to the construction sequence and generating a first construction sequence based on the sequenced construction sub-plans and the construction flow information;
The updating unit is used for updating the first construction sequence according to the first climate data to obtain a second construction sequence; the first climate data is historical climate data of the first region;
And the execution unit is used for constructing the first area according to the second construction sequence.
According to the intelligent civil engineering construction management method and system provided by the embodiment of the application, the construction flow is determined based on the first 3D construction model of the preset first area, and the construction flow information is obtained; the first area is an area where civil engineering construction is planned; the construction flow comprises a plurality of construction sub-plans, and the construction flow information represents construction content and ideal duration of each construction sub-plan; sequencing the plurality of construction sub-plans according to a construction sequence, and generating a first construction sequence based on the sequenced plurality of construction sub-plans and the construction flow information; updating the first construction sequence according to the first climate data to obtain a second construction sequence; the first climate data is historical climate data of the first region; and constructing the first area according to the second construction sequence. According to the technical scheme provided by the embodiment of the application, the weather forecast data is introduced in the process of making the construction plan, so that the construction plan is updated, the matching degree of the construction plan and the weather condition in the construction stage is improved, the influence of weather on the construction progress is reduced, and the rationality and scientificity of the construction plan are improved, and the construction efficiency is improved.
Drawings
FIG. 1 is a schematic flow chart of an intelligent civil engineering construction management method according to an embodiment of the application;
fig. 2 is a schematic structural diagram of an intelligent civil engineering construction management system according to an embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the accompanying drawings and examples.
The embodiment of the application provides an intelligent civil engineering construction management method, which is applied to an intelligent civil engineering construction management system, and particularly can be applied to intelligent electronic equipment such as a computer, a mobile terminal and the like, as shown in fig. 1, and the method can comprise the following steps:
Step 101: determining a construction flow based on a first 3D construction model of a preset first area, and obtaining construction flow information; the first area is an area where civil engineering construction is planned; the construction flow comprises a plurality of construction sub-plans, and the construction flow information represents construction content and ideal duration of each construction sub-plan.
In practical application, the first area may also be referred to as a to-be-constructed area, and may also be referred to as a construction area, which is not limited in the embodiment of the present application, so long as the function thereof can be achieved.
In practical application, a construction sub-plan may be understood as a plan of one construction stage, for example, a construction stage of earth excavation, bedding, foundation, etc., and a construction flow includes a plurality of construction sub-plans, and may be understood as a construction plan of a construction flow including a plurality of construction stages.
In practical application, the first 3D construction model may also be referred to as a first BIM model; the BIM technology can realize comprehensive management of all stages of design, construction, operation and the like of a full life cycle of a construction project by carrying out three-dimensional modeling on a building or engineering project and constructing a digital information model; in specific construction, the BIM technology can construct a design model according to various information of a plane drawing, and summarizing, modeling and analyzing the construction needed in the whole engineering.
In practical application, if a complete 3D model is directly designed for projects such as highways, large bridges and the like, the model design difficulty is high, modification and optimization of the model are not utilized, and the flexibility is poor.
Based on this, in an embodiment, the method may further include:
dividing the first region into a plurality of second regions;
generating a second 3D construction model of each second region using the BIM model based on the terrain parameters of each second region;
and integrating all the second 3D construction models to obtain the first 3D construction model.
In practical applications, the second 3D construction model may also be referred to as a second BIM model.
In practical application, the first 3D construction model may be understood as a 3D construction model of a first area building, and the second 3D construction model may be understood as a 3D construction model of a second area building.
In practical application, the first area is divided into the second area, and the first area can be divided according to the regional topography features, for example, for construction projects with equidistant longer roads, the line to be constructed can be divided into a plurality of road sections according to the ground topography condition, and one road section is the second area.
In practical application, the first area is divided into the second areas, and the first areas can be also divided according to the characteristics of building structures, for example, for buildings such as houses, the buildings can be divided according to foundations, main structures and auxiliary facilities, and each divided part is a modeled second area.
In practical application, the first area is divided into the second area, and the second area is modeled, and the modeling process can be regarded as a process of establishing a model in a blocking manner; compared with the traditional modeling method, the block modeling can carry out fine carding on the content of a certain module after the module division is completed, the fine degree is high, and finally, the service performance of the blocks is improved through the association of nodes among the modules; in addition, the segmented modeling can simplify a complex large-area three-dimensional geologic modeling process into a small area with a local, relatively simple internal geologic structure. The localization modeling method makes geological research and modeling process simpler; furthermore, the block modeling can simplify the modeling steps, so that the convenience of the whole modeling process is improved, the modeling efficiency is accelerated, meanwhile, convenience is provided for carrying out 3D modeling research by developing team cooperation in a large area, each team member can be responsible for different modeling blocks, and finally, the three-dimensional modeling blocks are assembled into a complete three-dimensional model; further, with the continuous development of geological research means, the geological information obtained by people becomes more and more accurate, and the block modeling allows modification of the block geological model, so that the trouble of modifying the whole area model is avoided, and the modification and perfection of the model are easier; meanwhile, in the software design process, the block modeling can abstract the whole framework and the context of the code, so that maintenance personnel can quickly master the whole framework of the code. This facilitates understanding, maintenance and multiplexing of the code.
In practical application, generating the second 3D construction model of each second region by using the BIM model based on the topographic parameters of each second region may include:
And (3) obtaining terrain parameters: the terrain parameters are key data for describing the terrain of the construction area, a designer needs to optimize the layout and design of the building according to the terrain parameters so as to ensure the coordination and adaptability of the building and the surrounding environment, and the analysis function of the BIM model can comprehensively consider the terrain parameters and the design of the building to perform performance simulation and optimization, so that the comfort and energy efficiency of the building are improved; meanwhile, in the process of building the BIM model, construction simulation and collision detection can be carried out by combining with topographic parameters, so that potential problems are found and solved in advance, and construction risks and cost are reduced; here, the terrain parameters may be obtained by means of a land survey or the like;
building data acquisition: acquiring relevant data of a building in a second area, including building size, shape, material, texture and the like; the data can be obtained through CAD drawing and other modes;
Creating a 3D model: creating a three-dimensional model of each second-area building from the collected data, including building geometry, adding texture, adjusting texture, lighting, and the like.
In an embodiment, the topographical parameters may include:
Elevation data;
gradient;
Slope direction;
surface coverage data;
Hydrologic data;
Geological information.
In practice, elevation data is the basis of modeling, which describes the vertical elevation of each point on the ground. Elevation data is typically provided in the form of a Digital Elevation Model (DEM) or contour map for creating accurate terrain surfaces; the grade parameter describes the degree of inclination of the terrain, i.e. the ratio of vertical change on the ground to horizontal distance, which is very important for building design and planning, as it can affect the stability, drainage and landscape effect of the building; the slope parameters represent the direction of inclination of each point on the ground, and are critical for determining the orientation of the building, the solar conditions and the wind direction effects; the surface coverage comprises information such as soil type, vegetation coverage and the like, and is used for environmental assessment, landscape design and construction preparation in building projects; hydrologic data including locations and flow directions such as rivers, lakes, gutters, etc. for planning drainage systems, flood control measures, and landscape design; geological information, including geological structures such as underground rock, soil layers, faults, groundwater and the like, is used for building foundation design and structural safety evaluation; in BIM software such as Revit, the topographical parameters may typically be generated by importing external data (e.g., CAD files, GIS data, etc.) or created and edited directly in the software.
In practical application, the terrain parameters used for generating the 3D construction model may be set according to an actual construction scene, specifically, may be determined according to an influence factor affecting each construction project in the actual construction scene, and how to select the terrain parameters specifically, the embodiment of the present application is not limited.
Exemplary, specific information of the topographic parameters is shown in table 1.
Table 1:
| Topographic parameters | Parameter description | Related information |
| Altitude of sea | Elevation of ground points relative to mean sea level | Influence the construction difficulty, the material transportation and the engineering cost |
| Terrain gradient | Degree of inclination of the ground surface | Influencing earth excavation, foundation construction and structural stability |
| Relief of topography | Degree of unevenness of the ground surface | Influence the earth balance, the water drainage design and the construction efficiency |
| Geological structure | Geological features of strata, rock and faults | Influencing the bearing capacity of the foundation, the ground water level and the earthquake safety |
| Hydrologic conditions | Water distribution of underground water level, river, lake, etc | Influencing earthwork excavation, foundation construction and drainage system design |
| Soil type | Class and nature of soil | Influencing foundation treatment, earth excavation and soil improvement measures |
| Vegetation cover | Type and density of surface vegetation | Influence on earthwork excavation, operation of construction machinery and environmental protection requirements |
| Climate conditions | Climate conditions such as air temperature, precipitation and wind | Influencing construction season, construction efficiency and material selection |
In practical application, after the block modeling is completed, that is, after the second 3D construction model is built, the second 3D construction model can be integrated, so as to obtain the first 3D construction model.
In an embodiment, the integrating all the second 3D construction models to obtain the first 3D construction model may include:
and based on the position information of each second 3D construction model, performing splicing and integration processing on all the second 3D construction models to obtain the first 3D construction model.
Specifically, integrating all the second 3D construction models to obtain the first 3D construction model may include:
Determining an integration scheme: determining the relative position and relation among the partial models according to the layout and design of the integral building;
And (3) importing a model: importing the created second 3D construction model into a unified modeling environment; in the process, the different second 3D construction models can be correctly aligned and combined by adjusting the coordinates, the directions or the proportions of the models;
And (3) model splicing: in a modeling environment, splicing all partial models together to form a complete building model;
Conflict resolution: during the integration process, conflicts or inconsistencies between models may be encountered; these conflicts are resolved by adjusting the position, size or shape of each second 3D construction model.
Scene optimization: and (3) performing scene optimization on the whole building model, including adjusting illumination, adding shadows, optimizing textures and the like, so as to improve the visual effect and the authenticity of the model, and obtaining a final complete model, namely the first 3D construction model.
In practical application, after the first 3D construction model is built, in order to enhance the practicality and the display effect of the model, post-processing, such as adding animation, rendering effect, interactive function, etc., can be performed on the first 3D construction model according to application requirements.
In practical application, after model integration is completed, the integrated first 3D construction model can be exported for use in other software or platforms.
Step 102: and sequencing the plurality of construction sub-plans according to the construction sequence, and generating a first construction sequence based on the sequenced plurality of construction sub-plans and the construction flow information.
In practical application, the construction sequence can be generated by a BIM model or can be set empirically.
In practical application, the first construction sequence may be referred to as a first construction schedule, which is not limited in the embodiment of the present application, so long as the function thereof can be implemented.
Step 103: updating the first construction sequence according to the first climate data to obtain a second construction sequence; the first climate data is historical climate data for the first region.
During practical application, the construction plan is updated by introducing the weather period number, namely the first construction sequence is updated, so that the construction plan can be matched with the actual weather condition, the rationality and scientificity of the construction plan are improved, the influence of the external weather condition on the construction progress is reduced, and the construction efficiency of a construction site is improved.
In practical application, weather factors associated with each construction stage in the construction flow are considered to be different, and the degree of association with different weather factors is different, so that each construction sub-plan can be used as an independent individual for improving the rationality and scientificity of the updated construction sequence, and each construction sub-plan in the first construction sequence can be updated in sequence according to weather data.
Based on this, in an embodiment, the updating the first construction sequence according to the first climate data to obtain the second construction sequence may include:
Based on the first time information, acquiring climate data of the same time period of the previous N 1 years to obtain first climate data; n 1 is 1 or an integer greater than 1; the first time information represents construction time corresponding to a first construction sequence;
based on the first climate data and the first time information, predicting the climate condition in the process of executing the first construction sequence to obtain first climate information;
Starting from a first construction sub-plan in the first construction sequence, determining weather conditions of the construction sub-plans based on the first weather information for each construction sub-plan, and obtaining second weather information; judging the matching degree of the construction sub-plan and the corresponding weather conditions based on the second weather information, and updating the construction time of the construction sub-plan and the later construction sub-plans in the first construction sequence under the condition that the matching degree is lower than a preset threshold value;
and obtaining a second construction sequence based on the updated construction sub-plan.
In practical application, due to the fact that weather changes in multiple ends, extreme weather which does not accord with normal rules may occur, and when the first weather data are predicted by using the historical data of the extreme weather, accuracy of a prediction result is affected; therefore, in order to improve the accuracy of the climate prediction result, the historical climate data can be screened first.
Based on this, in an embodiment, the acquiring the climate data of the same time period of the previous N 1 years based on the first time information, to obtain the first climate data may include:
Acquiring climate data of the previous N 1 years to obtain second climate data; n 1 is more than or equal to 3;
Acquiring climate data N 2 months before the current moment to obtain third climate data;
Based on the third climate data, selecting the climate data of N 3 years with the highest similarity with the current weather change rule from the second climate data to obtain fourth climate data;
and acquiring climate data in the same time period from the fourth climate data based on the first time information to obtain first climate data.
In practical application, the value of N 2 may be 3 months, or may be 3 added to the month that has been already spent in the current quarter, that is, the sum of the month that has been already spent in the current quarter and the month of the last quarter; of course, the value of N 2 may also be 6 months.
In practice, N 3 may be 2 or an integer greater than 2.
In practical application, the similarity between the annual climate data in the previous N 1 years and the current weather change rule can be calculated, specifically, the comparison between the annual climate data and the climate data in the same time period of N 2 months before the current moment can be determined based on the second climate data, specifically, for each month to be compared in N 2 months before the current moment, the average value of each climate factor in the month to be compared is compared with the average value of each climate factor in the corresponding month in the second climate data, the average value contrast of each climate factor is obtained, and the average value contrast of all the climate factors in each month to be compared is weighted and summed to obtain the similarity of the month to be compared; and calculating the average value of the similarity of each month to be compared in the same year, wherein the obtained value can be used as the similarity of the weather data of the year and the current weather change rule.
In actual application, the construction sequence (comprising a first construction sequence and a second construction sequence) comprises construction contents and construction time of each construction sub-plan; the deep learning model can be established according to the historical climate data and the corresponding time information, and then the climate condition in the process of executing the first construction sequence is predicted based on the first climate data and the first time information by utilizing the established deep learning model, specifically, the weather condition when each construction sub-plan in the first construction sequence is predicted to be executed, so that the first climate information is obtained.
In actual application, after the first climate information is obtained, the weather of the construction time corresponding to each construction sub-plan can be known, so that whether the execution of the construction sub-plan is delayed or not is judged according to the influence degree of the weather on the corresponding construction sub-plan, and whether the sub-plan needs to be adjusted or not is determined.
Specifically, starting from a first construction sub-plan in the first construction sequence, detecting the matching degree of each construction sub-plan; specifically, for each construction sub-plan, weather information, namely second weather information, of a time period corresponding to the construction sub-plan is obtained from the first weather information, then, based on the second weather information, the matching degree of the construction sub-plan and the predicted weather condition is judged, and under the condition that the matching degree is lower than a preset threshold value, the construction time of the construction sub-plan in the first construction sequence is updated, and at the moment, the rest construction sub-plans after the construction sub-plan are adjusted and updated accordingly; and updating each construction sub-plan in turn according to the flow to obtain a second construction sequence.
In the process, for all the construction sub-plans, the construction sub-plan with the replaceable execution sequence can be marked, when the first construction sub-plan which is currently subjected to matching degree detection needs to update the construction time due to weather conditions in the process of updating the first construction sequence, the matching degree of a second construction sub-plan which is provided with the same mark as the first construction sub-plan and the weather conditions in a time period corresponding to the first construction sequence can be judged, and if the matching degree in the second construction sub-plan is higher than a preset threshold value, the first construction sub-plan is updated to be the second construction sub-plan with the highest matching degree.
In practical application, the weather condition may include a plurality of weather factors, and the matching between different weather factors and the same construction sub-plan may be different, and the matching between the same weather factor and different construction sub-plans may be different, so that the matching degree between each construction sub-plan and the corresponding weather condition may be determined by taking the weather factors as calculation factors.
Based on this, in an embodiment, the weather condition includes a plurality of weather factors, and the matching degree of each construction sub-plan and the corresponding weather condition is expressed as:
；
M represents the matching degree of the construction sub-plan and the corresponding weather conditions, and M is more than or equal to 0 and less than or equal to 1; n represents the number of climate factors associated with the degree of matching; w i represents the weight of the ith climate factor; c i represents the i-th climate factor matching score with the construction plan.
In one embodiment, the climate factors may include temperature, humidity, precipitation, and wind speed.
In practical application, the number of days of construction of the sub-plan may be multiple, so when calculating the matching degree, the matching degree between the daily construction condition and the weather factor of the current day may be calculated first, and recorded as M j, that is, M j represents the matching degree on the j-th day in the sub-plan, and then the matching degree on the day in the sub-plan is averaged to obtain the matching degree of the sub-plan.
In practical application, the weight W i is a numerical value between 0 and 1, which represents the importance of the climate factor to the construction plan; the sum of the weights of all climatic factors is equal to 1.
In practical application, C i may be a value between 0 and 1, which is used to indicate the degree of compliance between the climate factor and the requirement of the construction plan, for example, for the climate factor of temperature, when the construction sub-plan includes related projects such as concrete solidification, the matching degree score between the temperature and the construction sub-plan is higher; for the weather factor of wind speed, when outdoor work projects such as outer frame construction and the like are included in the construction sub-plan, the matching score of the wind speed and the construction sub-plan is higher.
In one embodiment, the fitness score C i for each climate factor to the construction plan may be expressed as:
；
Where v t represents an actual measured value of the climate factor, v TL represents a preset lower threshold value of the climate factor, and v TH represents a preset upper threshold value of the climate factor.
In practical application, the lower threshold value of each climate factor is a preset minimum value of each climate factor, and the upper threshold value of each climate factor is a preset maximum value of each climate factor; the upper limit threshold and the lower limit threshold can be determined according to specific climate data and requirements of a construction plan, and can be specifically set according to actual application requirements, and the embodiment of the application is not limited to the upper limit threshold and the lower limit threshold.
Step 104: and constructing the first area according to the second construction sequence.
Specifically, the specific construction content of each construction sub-plan is executed according to the construction sequence of the construction sub-plans in the second construction sequence.
In summary, according to the intelligent civil engineering construction management method provided by the embodiment of the application, the construction plan is updated by introducing the climate prediction data in the process of making the construction plan, so that the matching degree of the construction plan and the weather condition in the construction stage is improved, the influence of the weather on the construction progress is reduced, the rationality and the scientificity of the construction plan are improved, and the construction efficiency is improved.
In order to implement the intelligent civil engineering construction management method of the present application, an embodiment of the present application further provides an intelligent civil engineering construction management system, as shown in fig. 2, where the system includes:
A computing unit 201, configured to determine a construction flow based on a first 3D construction model of a preset first area, and obtain construction flow information; the first area is an area where civil engineering construction is planned; the construction flow comprises a plurality of construction sub-plans, and the construction flow information represents construction content and ideal duration of each construction sub-plan;
A generating unit 202, configured to sort the plurality of construction sub-plans according to a construction order, and generate a first construction sequence based on the sorted plurality of construction sub-plans and the construction flow information;
An updating unit 203, configured to update the first construction sequence according to the first climate data, to obtain a second construction sequence; the first climate data is historical climate data of the first region;
and the execution unit 204 is used for constructing the first area according to the second construction sequence.
In an embodiment, the system further comprises a model generation unit for:
dividing the first region into a plurality of second regions;
generating a second 3D construction model of each second region using the BIM model based on the terrain parameters of each second region;
and integrating all the second 3D construction models to obtain the first 3D construction model.
In an embodiment, the model generating unit may specifically be configured to:
and based on the position information of each second 3D construction model, performing splicing and integration processing on all the second 3D construction models to obtain the first 3D construction model.
In an embodiment, the topographical parameters may include:
Elevation data;
gradient;
Slope direction;
surface coverage data;
Hydrologic data;
Geological information.
In an embodiment, the updating unit 203 may specifically be configured to:
Based on the first time information, acquiring climate data of the same time period of the previous N 1 years to obtain first climate data; n 1 is 1 or an integer greater than 1; the first time information represents construction time corresponding to a first construction sequence;
based on the first climate data and the first time information, predicting the climate condition in the process of executing the first construction sequence to obtain first climate information;
Starting from a first construction sub-plan in the first construction sequence, determining weather conditions of the construction sub-plans based on the first weather information for each construction sub-plan, and obtaining second weather information; judging the matching degree of the construction sub-plan and the corresponding weather conditions based on the second weather information, and updating the construction time of the construction sub-plan and the later construction sub-plans in the first construction sequence under the condition that the matching degree is lower than a preset threshold value;
and obtaining a second construction sequence based on the updated construction sub-plan.
In an embodiment, the weather condition includes a plurality of weather factors, and the matching degree between each construction sub-plan and the corresponding weather condition is expressed as:
；
M represents the matching degree of the construction sub-plan and the corresponding weather conditions, and M is more than or equal to 0 and less than or equal to 1; n represents the number of climate factors associated with the degree of matching; w i represents the weight of the ith climate factor; c i represents the i-th climate factor matching score with the construction plan.
In one embodiment, the fitness score C i for each climate factor to the construction plan is expressed as:
；
Where v t represents an actual measured value of the climate factor, v TL represents a preset lower threshold value of the climate factor, and v TH represents a preset upper threshold value of the climate factor.
In one embodiment, the climate factors include temperature, humidity, precipitation, and wind speed.
In an embodiment, the updating unit 203 may specifically be configured to:
Acquiring climate data of the previous N 1 years to obtain second climate data; n 1 is more than or equal to 3;
Acquiring climate data N 2 months before the current moment to obtain third climate data;
Based on the third climate data, selecting the climate data of N 3 years with the highest similarity with the current weather change rule from the second climate data to obtain fourth climate data;
and acquiring climate data in the same time period from the fourth climate data based on the first time information to obtain first climate data.
In practical application, the calculating unit 201, the generating unit 202, the updating unit 203, the executing unit 204 and the model generating unit may be implemented by a processor in the intelligent civil engineering construction management system in combination with a communication interface.
It should be noted that: in the intelligent civil engineering construction management system provided in the above embodiment, only the division of the above program modules is used for illustration when the intelligent civil engineering construction management is performed, and in practical application, the above processing allocation may be performed by different program modules according to needs, that is, the internal structure of the system is divided into different program modules, so as to complete all or part of the above processing. In addition, the intelligent civil engineering construction management system provided in the above embodiment and the intelligent civil engineering construction management method embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which is not described herein again.
It should be noted that: "first," "second," etc. are used to distinguish similar objects and not necessarily to describe a particular order or sequence.
In addition, the embodiments of the present application may be arbitrarily combined without any collision.
The foregoing description is only of the preferred embodiments of the present application, and is not intended to limit the scope of the present application.
Claims (8)
1. An intelligent civil engineering construction management method, characterized in that the method comprises the following steps:
Determining a construction flow based on a first 3D construction model of a preset first area, and obtaining construction flow information; the first area is an area where civil engineering construction is planned; the construction flow comprises a plurality of construction sub-plans, and the construction flow information represents construction content and ideal duration of each construction sub-plan;
sequencing the plurality of construction sub-plans according to a construction sequence, and generating a first construction sequence based on the sequenced plurality of construction sub-plans and the construction flow information;
updating the first construction sequence according to the first climate data to obtain a second construction sequence; the first climate data is historical climate data of the first region;
Constructing the first area according to the second construction sequence;
Updating the first construction sequence according to the first climate data to obtain a second construction sequence, wherein the method comprises the following steps:
Based on the first time information, acquiring climate data of the same time period of the previous N 1 years to obtain first climate data; n 1 is 1 or an integer greater than 1; the first time information represents construction time corresponding to a first construction sequence;
based on the first climate data and the first time information, predicting the climate condition in the process of executing the first construction sequence to obtain first climate information;
Starting from a first construction sub-plan in the first construction sequence, determining weather conditions of the construction sub-plans based on the first weather information for each construction sub-plan, and obtaining second weather information; judging the matching degree of the construction sub-plan and the corresponding weather conditions based on the second weather information, and updating the construction time of the construction sub-plan and the later construction sub-plans in the first construction sequence under the condition that the matching degree is lower than a preset threshold value;
obtaining a second construction sequence based on the updated construction sub-plan;
The weather conditions comprise a plurality of weather factors, and the matching degree of each construction sub-plan and the corresponding weather conditions is expressed as follows:
；
M represents the matching degree of the construction sub-plan and the corresponding weather conditions, and M is more than or equal to 0 and less than or equal to 1; n represents the number of climate factors associated with the degree of matching; w i represents the weight of the ith climate factor; c i represents the i-th climate factor matching score with the construction plan.
2. The method according to claim 1, wherein the method further comprises:
dividing the first region into a plurality of second regions;
generating a second 3D construction model of each second region using the BIM model based on the terrain parameters of each second region;
and integrating all the second 3D construction models to obtain the first 3D construction model.
3. The method according to claim 2, wherein integrating all second 3D construction models to obtain the first 3D construction model comprises:
and based on the position information of each second 3D construction model, performing splicing and integration processing on all the second 3D construction models to obtain the first 3D construction model.
4. The method of claim 2, wherein the topographical parameters include:
Elevation data;
gradient;
Slope direction;
surface coverage data;
Hydrologic data;
Geological information.
5. The method of claim 1, wherein the fitness score C i for each climate factor to the construction plan is expressed as:
；
Where v t represents an actual measured value of the climate factor, v TL represents a preset lower threshold value of the climate factor, and v TH represents a preset upper threshold value of the climate factor.
6. The method of claim 1, wherein the climate factors include temperature, humidity, precipitation, and wind speed.
7. The method of claim 1, wherein the obtaining climate data for the same time period of the previous N 1 years based on the first time information, to obtain the first climate data, comprises:
Acquiring climate data of the previous N 1 years to obtain second climate data; n 1 is more than or equal to 3;
Acquiring climate data N 2 months before the current moment to obtain third climate data;
Based on the third climate data, selecting the climate data of N 3 years with the highest similarity with the current weather change rule from the second climate data to obtain fourth climate data;
and acquiring climate data in the same time period from the fourth climate data based on the first time information to obtain first climate data.
8. An intelligent civil engineering construction management system, comprising:
The computing unit is used for determining a construction flow based on a first 3D construction model of a preset first area to obtain construction flow information; the first area is an area where civil engineering construction is planned; the construction flow comprises a plurality of construction sub-plans, and the construction flow information represents construction content and ideal duration of each construction sub-plan;
the generation unit is used for sequencing the plurality of construction sub-plans according to the construction sequence and generating a first construction sequence based on the sequenced construction sub-plans and the construction flow information;
The updating unit is used for updating the first construction sequence according to the first climate data to obtain a second construction sequence; the first climate data is historical climate data of the first region;
And the execution unit is used for constructing the first area according to the second construction sequence.
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