CN116029529A - BIM-based bridge construction progress management method and system - Google Patents
BIM-based bridge construction progress management method and system Download PDFInfo
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Abstract
The invention provides a bridge construction progress management method and system based on BIM, and relates to the technical field of electric digital data processing, wherein the method comprises the following steps: the method comprises the steps of collecting bridge building information to construct a BIM building information model, acquiring real-time bridge construction information by a connection information interaction device, inputting the real-time bridge construction information and construction progress planning information into the BIM building information model to acquire progress deviation data, performing progress fitting through the BIM building information model and the construction progress planning information to generate deviation correction feedback constraint data, inputting the deviation correction feedback constraint data and the progress deviation data into a progress fitting distribution model to acquire a compensation planning task and perform construction progress management.
Description
Technical Field
The invention relates to the technical field of electric digital data processing, in particular to a bridge construction progress management method and system based on BIM.
Background
At present, china is in the high-speed development stage of economy, in particular to the development of the building industry, which is an economically important prop industry in China.
The construction of road and bridge engineering at present is more difficult and complex than the prior art, and has certain difficulty in management. According to incomplete statistics, in the process of road and bridge engineering construction, economic loss caused directly or indirectly by the unscientific and unreasonable design scheme and construction scheme can reach 10% -20% of the total engineering. Therefore, if no reasonable design scheme and construction scheme exist in the management of road and bridge engineering projects, the next guidance cannot be accurately and timely made, the engineering cost is increased, and the later reworking is possibly caused.
In the prior art, the management body is manufactured later, the organization structure is derailed, and the management and control means are single, so that the loss is caused due to poor management of the construction progress.
Disclosure of Invention
The application provides a bridge construction progress management method and system based on BIM, which are used for solving the technical problems that management bodies in the prior art are manufactured later, an organization structure is derailed, and management and control means are single, so that the loss is caused finally due to poor management of construction progress.
In view of the above problems, the present application provides a bridge construction progress management method and system based on BIM.
In a first aspect, the present application provides a bridge construction progress management method based on BIM, the method including: acquiring bridge building information, and constructing a BIM building information model through the bridge building information; connecting an information interaction device, and obtaining real-time bridge construction information through the information interaction device; obtaining construction progress planning information; inputting the real-time bridge construction information and the construction progress planning information into the BIM building information model to obtain progress deviation data; performing progress fitting through the BIM building information model and the construction progress planning information, and generating deviation correction feedback constraint data according to a progress fitting result; inputting the deviation correction feedback constraint data and the progress deviation data into a progress fitting distribution model to obtain a compensation planning task; and managing the construction progress through the compensation planning task.
In a second aspect, the present application provides a bridge construction progress management system based on BIM, the system comprising: the model building module is used for acquiring bridge building information and building a BIM building information model through the bridge building information; the construction information acquisition module is used for connecting the information interaction device and acquiring real-time bridge construction information through the information interaction device; the construction progress planning information acquisition module is used for acquiring construction progress planning information; the data acquisition module is used for inputting the real-time bridge construction information and the construction progress planning information into the BIM building information model to acquire progress deviation data; the deviation correcting feedback constraint data generation module is used for performing progress fitting through the BIM building information model and the construction progress planning information and generating deviation correcting feedback constraint data according to a progress fitting result; the compensation planning task obtaining module is used for inputting the deviation correction feedback constraint data and the progress deviation data into a progress fitting distribution model to obtain a compensation planning task; and the construction progress management module is used for managing the construction progress through the compensation planning task.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the application provides a bridge construction progress management method based on BIM relates to electric digital data processing technology field, has solved among the prior art management system manufacturing back, organizational structure derailment, management and control means singleness for thereby finally because the construction progress management is bad cause the technical problem of loss, realized using efficient progress management technique to improve productivity, and then reduce the loss.
Drawings
Fig. 1 is a schematic flow chart of a bridge construction progress management method based on BIM;
fig. 2 is a schematic diagram of a compensation planning task flow in a bridge construction progress management method based on BIM;
fig. 3 is a schematic diagram of a flow chart for obtaining deviation correction feedback constraint data in a bridge construction progress management method based on BIM;
fig. 4 is a schematic diagram of a task adjustment flow in a bridge construction progress management method based on BIM;
fig. 5 is a schematic structural diagram of a bridge construction progress management system based on BIM.
Reference numerals illustrate: the system comprises a model construction module 1, a construction information obtaining module 2, a construction progress planning information obtaining module 3, a data obtaining module 4, a deviation correction feedback constraint data generating module 5, a compensation planning task obtaining module 6 and a construction progress management module 7.
Detailed Description
The application provides a bridge construction progress management method based on BIM, which is used for solving the technical problems that in the prior art, a management body is behind, an organization structure is derailed, and a management and control means is single, so that the loss is caused due to poor management of the construction progress.
Example 1
As shown in fig. 1, an embodiment of the present application provides a bridge construction progress management method based on BIM, where the method is applied to a bridge construction progress management system, and the method includes:
step S100: acquiring bridge building information, and constructing a BIM building information model through the bridge building information;
specifically, the bridge construction progress management method based on BIM is applied to a bridge construction progress management system, and the bridge construction progress management system is in communication connection with an information interaction device which is used for collecting parameters of construction progress.
Collecting bridge building information, wherein the obtained bridge building information comprises, but is not limited to, an upper structure of a bridge, a lower structure of the bridge, a support of the bridge and an accessory structure, and the upper structure of the bridge is also called a bridge span structure and is a main structure for crossing an obstacle; the lower structure of the bridge comprises a bridge abutment, a bridge pier and a foundation; the bridge support is a force transmission device arranged at the supporting position of the bridge span structure and the bridge pier or the bridge abutment; the auxiliary structure is bridge end butt strap, cone slope protection, bank protection, diversion engineering, etc.
Further, on the basis of the bridge construction information obtained above, a BIM construction information model is constructed, wherein the BIM is a complete and highly integrated construction project informatization model, the information model describes real information of a building through digital information, the real information not only comprises geometric information describing the space shape of the building, but also comprises a plurality of non-geometric information of the building, such as construction materials, concrete grades, reinforcing steel bar labels, construction cost, schedule and other engineering related information, the BIM parameterizes all information, a construction model is built through computer simulation, and all related information is integrated into the construction model, so that the BIM construction information model is a construction information base with rich content, complete data and logic density.
Meanwhile, the BIM building information model is an information base formed by simulating a building by a computer, and comprises design information of a design stage, construction information of a construction stage and later information of operation and maintenance until demolition, and all information of project life cycle is always contained in the three-dimensional model information base. The BIM building information model can provide information such as project design content, progress plans and cost control in a continuous and instantaneous mode, and the information is complete, accurate and consistent. The building information model can keep information continuously adjusted and can open data in project changing and construction processes, so that designers, engineers, managers and constructors can grasp project dynamic information in real time, and make corresponding adjustment in professional areas respectively responsible for the project dynamic information, and the comprehensive benefit of the project is improved.
The building information model of BIM is based on the design, construction, operation and maintenance of the building engineering project, and the like, and the model can greatly improve the informatization and integration degree of the project and is an important reference for later construction progress management.
Step S200: the information interaction device is connected, and real-time bridge construction information is obtained through the information interaction device;
specifically, the bridge construction information acquisition device is firstly connected with the information interaction device, on the basis, real-time bridge construction information is acquired through the connected information interaction device, wherein the real-time bridge construction information can be real-time problems in bridge construction stages, bridge construction technology, bridge construction management, bridge construction progress, bridge construction quality and bridge construction, and finally the foundation is tamped for improving the construction progress management.
Step S300: obtaining construction progress planning information;
specifically, on the basis of the existing bridge construction plan, the bridge construction progress planning information is obtained, wherein the bridge construction progress planning information can be constructed into a bridge construction progress planning information table, the transverse categories in the bridge construction progress planning information table comprise serial numbers, engineering projects of bridge construction, units of bridge construction, the number of engineering of bridge construction, the accumulated number of finished engineering of bridge construction, the number of remaining engineering of bridge construction, and periodic division of time periods according to the planned time range, and the like, the longitudinal categories comprise serial numbers and can comprise drilling bored piles, reinforced concrete bearing platforms, pier columns, pier capping beams, bridge abutment rib plate bodies, bridge abutment caps, hollow slab prefabrication, hollow slab hoisting, hinge joints, bridge deck pavement and bridge deck systems, bridge head lapping plates, bridge auxiliary engineering and the like, the remaining information is respectively filled in the corresponding transverse categories and longitudinal categories according to the serial numbers, the engineering projects contained in the bridge construction are filled in the corresponding serial numbers, so that the bridge construction progress planning information table is constructed, and the construction progress planning information is obtained.
Step S400: inputting the real-time bridge construction information and the construction progress planning information into the BIM building information model to obtain progress deviation data;
specifically, the obtained real-time bridge construction information and the obtained construction progress planning information are input into the constructed BIM construction information model on the basis of the constructed BIM construction information model, and the BIM construction information model comprises design information of a design stage, construction information of a construction stage and later-stage information of operation and maintenance until dismantling, progress deviation data are obtained on the basis of all information of project life cycles in the BIM construction information model, wherein the obtained progress deviation data comprise specific bridge construction contents, bridge construction tasks, incomplete construction tasks, residual construction quantity, people or teams responsible for the bridge construction tasks, and the like, and the problems can be more intuitively reflected in the BIM construction information model, so that later-stage management of construction progress is guaranteed.
Step S500: performing progress fitting through the BIM building information model and the construction progress planning information, and generating deviation correction feedback constraint data according to a progress fitting result;
specifically, the obtained BIM building information model and the obtained construction progress planning information are subjected to progress fitting, namely the real-time construction progress fed back in the BIM building information model is compared with the construction progress planning information in real time, a progress fitting result is generated according to the progress fitting performed by the real-time comparison, wherein the progress fitting result is the embodiment of whether the existing bridge construction progress and the bridge construction progress are matched with the construction planned progress information, and deviation correction feedback constraint data are further generated according to the obtained progress fitting result.
The correction feedback constraint data is constraint data in a time angle generally, for example, there is a correlation between two construction tasks, that is, the second construction task must be started on the basis that the first construction task is built, then the starting time of the second construction task in the construction progress planning information is the constraint time of the first construction task, if real-time data fed back by the BIM building information model shows that the first construction task is not matched with the progress in the construction progress planning information, that is, the completion progress of the first construction task is slower than the completion progress of the construction progress planning, the correction of the first construction task is started, that is, the residual construction task amount of the first construction task must be completed within the constraint time, then reasonable adjustment of the construction task is required to ensure that the first construction task is completed before the starting time of the second construction task, so that the correction feedback constraint data is obtained, and the construction progress can be managed better finally.
Step S600: inputting the deviation correction feedback constraint data and the progress deviation data into a progress fitting distribution model to obtain a compensation planning task;
specifically, the obtained deviation correction feedback constraint data and the obtained progress deviation data are input into a progress fitting distribution model, wherein the progress fitting distribution model is used for performing progress fitting on the deviation corrected construction project extracted from the obtained deviation correction feedback constraint data and the construction project corresponding to the obtained progress deviation data, a rectangular coordinate system is exemplarily established, a day is taken as an x axis, the daily engineering quantity of the construction progress is taken as a y axis, the daily construction progress of the construction project is regarded as a series of points in the rectangular coordinate system, and the obtained points are connected by a smooth curve, so that the progress fitting is called.
The progress fitting distribution model is a neural network model capable of continuously performing self-iterative optimization in machine learning, and is obtained through training of a training data set and a supervision data set, wherein each group of training data in the training data set comprises obtained deviation correction feedback constraint data and obtained progress deviation data; the supervision data sets are progress fitting supervision data in one-to-one correspondence with the training data sets.
The progress fitting distribution model construction process comprises the following steps: and inputting each group of training data in the training data set into a progress fitting distribution model, outputting and supervising adjustment of the progress fitting distribution model through supervising data corresponding to the group of training data, finishing the current group of training when the output result of the progress fitting distribution model is consistent with the supervising data, finishing all training data in the training data set, and finishing the training of the progress fitting distribution model.
In order to ensure accuracy of the progress-fit distribution model, the test processing of the progress-fit distribution model may be performed by the test data set, for example, the test accuracy may be set to 90%, and when the test accuracy of the test data set satisfies 90%, the progress-fit distribution model is constructed.
And inputting the obtained deviation correction feedback constraint data and the obtained progress deviation data into a progress fitting distribution model, and outputting a compensation planning task to achieve the technical effect of providing important basis for later construction progress in management.
Step S700: and managing the construction progress through the compensation planning task.
Specifically, the construction progress is managed on the basis of the obtained compensation planning task, wherein the obtained compensation planning task refers to that after the obtained deviation correction feedback data and the progress deviation data are input into the progress fitting distribution model, deviation calculation is performed on the construction project which is currently judged to be slower than the construction progress planning, and deviation correction is performed simultaneously, namely, the construction task of the construction project is adjusted on the currently extracted construction project, so that the construction project can be completed within the constraint time of the construction project, additional construction compensation planning is performed on the construction project which needs to be adjusted within the construction progress range, and the overall construction progress is managed more accurately through the set compensation planning task.
Further, as shown in fig. 2, step S600 of the present application further includes:
step S610: acquiring weather prediction data, and performing execution influence identification of the progress deviation data based on the weather prediction data to obtain an influence identification result;
step S620: obtaining scheduled task execution data through the BIM building information model, and generating task quantity identification data according to the scheduled task execution data;
step S630: constructing an implicit constraint layer through the influence identification result and the task quantity identification data;
step S640: adding the implicit constraint layer to the progress fit allocation model;
step S650: and obtaining the compensation planning task through the progress fitting distribution model output with the implicit constraint layer.
Specifically, weather prediction data during bridge construction is collected and obtained, meanwhile, influence identification is carried out on progress deviation data on the basis of the obtained weather prediction data, each day, possibly subjected to compensation, of construction projects with construction progress deviation is identified, namely, the construction projects are subjected to additional compensation due to weather influence, influence identification results are obtained, further, planning task execution data of the construction projects are obtained through a BIM building information model, task quantity identification data in the planning task execution data of the construction projects are correspondingly generated according to the obtained planning task execution data, and therefore hidden constraint of the construction projects is constructed on the basis of the obtained influence identification results and the obtained task quantity identification data, the result identified by the construction tasks subjected to weather influence and the data identified by the total task quantity of the corresponding construction tasks are summarized and integrated, the construction tasks are further constrained, and the construction of a hidden constraint layer is correspondingly completed.
Meanwhile, the constructed hidden constraint layer is added to a supervision data set of progress fitting distribution, hidden constraint is carried out on the construction task, so that the obtained deviation correction feedback constraint data and the obtained progress deviation data are input into a progress fitting distribution model with the added hidden constraint layer, and further the compensation planning task is output, so that the efficiency of the construction progress management is guaranteed.
Further, step S650 of the present application includes:
step S651: obtaining a training sample data set through big data, wherein each group of training sample data in the training sample data set comprises deviation correction feedback constraint data and progress deviation data;
step S652: performing compensation planning manual identification on each group of training sample data in the training sample data set, wherein the manual identification is provided with a cost-time balance identification;
step S653: constructing the progress fitting distribution model through the training sample data set with the manual identification;
step S654: acquiring cost-time balance parameters, and inputting the cost-time balance parameters, the deviation correction feedback constraint data and the progress deviation data into the progress fitting distribution model to acquire the compensation planning task.
Specifically, on the basis of all construction engineering training sample data contained in big data, summarizing, screening and integrating the training sample data, thereby obtaining a training sample data set, wherein each group of training sample data in the obtained training sample data set comprises corresponding deviation correction feedback constraint data and corresponding progress deviation data, each group of training sample data in the obtained training sample data set is subjected to compensation planning manual identification, the compensation planning manual identification carried out by each group of training sample data corresponds to the deviation correction feedback constraint data and the progress deviation data thereof, the manual identification comprises cost-time balance identification, namely the cost and time added by construction are required to be balanced when the corresponding compensation planning is carried out, so as to identify the corresponding construction engineering, further, the progress fitting distribution model is constructed when the obtained training sample data set with the manual identification is carried out, the cost-time balance parameter is correspondingly acquired, the acquired cost-time balance parameter, the obtained deviation correction feedback constraint data and the obtained progress deviation data are input into the constructed fitting distribution model, and the cost-time balance parameter is further correspondingly acquired, so that the accurate reference progress management effect of the compensation planning task is achieved, and the final progress management effect of the construction progress is achieved.
Further, as shown in fig. 3, step S500 of the present application further includes:
step S510: performing task execution fitting through the BIM building information model to obtain a task execution fitting result;
step S520: performing task association level evaluation according to the task execution fitting result to obtain a task association level evaluation result;
step S530: inputting the construction progress planning information into the BIM building information model, and generating an inter-task association level and an association constraint time node according to the task association level evaluation result and the construction progress planning information;
step S540: and obtaining the deviation rectifying feedback constraint data through the inter-task association level and the association constraint time node.
Specifically, on the basis of the construction task sequence in the construction progress planning, task execution fitting is carried out on the construction tasks according to the obtained construction task sequence through a BIM building information model, so that task execution fitting results are obtained, and meanwhile, the relevance between the tasks is evaluated according to the task execution fitting results, and illustratively, if a first construction task and a second construction task exist, wherein when the first construction is incomplete, the second construction task cannot be carried out, the relevance between the first construction task and the second construction task is considered to exist, the relevance level is strong, the higher the relevance level represents the higher the relevance level, namely, the task above needs to be completed before the next task is executed, task relevance level evaluation results are further obtained according to task relevance level evaluation results, so that the obtained construction progress planning information is input into the BIM building information model, and meanwhile, the task relevance level of the construction tasks and the relevance constraint time node of the construction tasks are generated according to the obtained construction progress planning information, the task relevance level corresponds to the construction task relevance constraint time node, and if the construction time node is strong, and if the task relevance between the tasks is corrected when the task is the time is complete, the task relevance between the task is further obtained by the task time planning node, and the relevance of the task is achieved by the time constraint time.
Further, as shown in fig. 4, step S800 of the present application includes:
step S810: performing task execution supervision on the compensation planning task to obtain an execution supervision result;
step S820: performing task execution progress evaluation according to the execution supervision result and the compensation planning task to obtain a task execution progress evaluation result;
step S830: and performing task adjustment of the real-time compensation planning task according to the task execution progress evaluation result.
Specifically, task execution supervision is performed on a construction task in the execution process of the obtained compensation planning task, namely whether the current construction task can be completed on time is performed according to the compensation planning task, so that an execution supervision result is obtained, task execution evaluation is performed on the progress condition of the current construction task based on the execution supervision result and the compensation planning task, and further, corresponding real-time task adjustment is performed on the compensation planning task on the basis of the obtained task execution progress evaluation result, namely, the fact that the current performed construction task can be completed according to the construction progress planning after the compensation planning task is performed is ensured.
Further, step S830 of the present application further includes:
step S831: when the task execution progress evaluation result is that the compensation planning task is not completed, incomplete identification data are obtained;
step S832: judging whether the incomplete identification data is an environmental impact identification or not;
step S833: when the incomplete identification data is an environmental impact identification, generating environmental anomaly correction data;
step S834: and performing task constraint of the real-time compensation planning task through the environment abnormality correction data.
Specifically, when the obtained real-time task execution progress evaluation result is an incomplete compensation planning task, tracing the incomplete cause to obtain incomplete identification data, further judging whether the incomplete identification data is an environmental impact identification, if the incomplete identification data is judged to be the environmental impact identification, namely that the construction task is affected by the environment, representing that the environment prediction is inaccurate in the process of performing task planning evaluation before, the influence of the subsequent environment prediction on the construction task needs to be correspondingly weighted, and the specific gravity of the construction progress and the environmental impact factors can be 0.8 before the incomplete identification data is obtained by way of example: 0.2, under such weight, incomplete identification data is obtained, whereby the specific gravity of the construction progress and the environmental impact factor can be adjusted to 0.6 according to the construction progress: and 0.4, the construction task can be completed in the time node, so that the execution of task compensation is avoided as much as possible when the environment is at risk or influenced, the real-time adjustment and constraint of the task are performed on the real-time compensation planning task based on the obtained environment abnormality correction data, and the timeliness of construction progress management is further realized.
Further, step S834 of the present application further includes:
step S8341: when the incomplete identification data is not the environmental impact identification, performing abnormal identification of team task execution;
step S8342: and carrying out the identification accumulation statistics of the team task based on the abnormal identification, and generating the execution management suggestion of the team according to the accumulation statistics result.
Specifically, when the obtained real-time task execution progress evaluation result is an incomplete compensation planning task, tracing the incomplete reason to obtain incomplete identification data, further judging whether the incomplete identification data is an environmental impact identification, if the incomplete identification data is judged not to be the environmental impact identification, namely, the construction team is abnormal in the task execution process, further carrying out abnormal identification on the execution of the team task, further, carrying out accumulated statistics on the identification of the team task on the basis of the obtained abnormal identification of the team task execution, namely, carrying out statistics on the occurrence times of the abnormal identification of the team task execution, and limiting the occurrence times of the abnormal identification, wherein the limited occurrence times of the abnormal identification is set by related technicians according to the data quantity, finally, correspondingly outputting the accumulated statistics result exceeding the occurrence times of the abnormal identification as output information, carrying out execution management suggestion on the task execution of the team on the basis of the obtained accumulated result, and further improving the management of the construction progress.
Example two
Based on the same inventive concept as the bridge construction progress management method based on BIM in the foregoing embodiments, as shown in fig. 5, the present application provides a bridge construction progress management system based on BIM, where the system includes:
the model building module 1 is used for acquiring bridge building information and building a BIM building information model through the bridge building information;
the construction information acquisition module 2 is used for connecting the information interaction device, and acquiring real-time bridge construction information through the information interaction device;
the construction progress planning information obtaining module 3, wherein the construction progress planning information obtaining module 3 is used for obtaining construction progress planning information;
the data obtaining module 4 is used for inputting the real-time bridge construction information and the construction progress planning information into the BIM building information model to obtain progress deviation data;
the deviation correcting feedback constraint data generation module 5 is used for performing progress fitting through the BIM building information model and the construction progress planning information, and generating deviation correcting feedback constraint data according to a progress fitting result;
the compensation planning task obtaining module 6 is used for inputting the deviation correction feedback constraint data and the progress deviation data into a progress fitting distribution model to obtain a compensation planning task;
and the construction progress management module 7 is used for managing the construction progress through the compensation planning task.
Further, the system further comprises:
the influence identification obtaining module is used for acquiring weather forecast data, carrying out execution influence identification of the progress deviation data based on the weather forecast data, and obtaining an influence identification result;
the task quantity identification data generation module is used for obtaining planned task execution data through the BIM building information model and generating task quantity identification data according to the planned task execution data;
the implicit constraint layer construction module is used for constructing an implicit constraint layer through the influence identification result and the task quantity identification data;
the adding module is used for adding the implicit constraint layer to the progress fitting allocation model;
and the compensation planning task module is used for obtaining the compensation planning task through the progress fitting distribution model output with the implicit constraint layer.
Further, the system further comprises:
the system comprises a training sample data set module, a progress deviation correction feedback constraint data acquisition module and a progress deviation correction feedback constraint data acquisition module, wherein the training sample data set module is used for acquiring a training sample data set through big data, and each group of training sample data in the training sample data set comprises the correction feedback constraint data and the progress deviation data;
the compensation planning artificial identification module is used for carrying out compensation planning artificial identification on each group of training sample data in the training sample data set, and the artificial identification is provided with a cost-time balance identification;
the progress fitting distribution model construction module is used for constructing the progress fitting distribution model through the training sample data set with the manual identification;
and the compensation planning task generation module is used for acquiring and obtaining cost-time balance parameters, inputting the cost-time balance parameters, the deviation correction feedback constraint data and the progress deviation data into the progress fitting distribution model, and obtaining the compensation planning task.
Further, the system further comprises:
the task execution fitting result module is used for performing task execution fitting through the BIM building information model to obtain a task execution fitting result;
the task association level evaluation result module is used for performing task association level evaluation according to the task execution fitting result to obtain a task association level evaluation result;
the information generation module is used for inputting the construction progress planning information into the BIM building information model and generating inter-task association level and association constraint time nodes according to the task association level evaluation result and the construction progress planning information;
and the deviation rectifying feedback constraint data module is used for obtaining the deviation rectifying feedback constraint data through the inter-task association level and the association constraint time node.
Further, the system further comprises:
the monitoring result execution module is used for performing task execution monitoring on the compensation planning task to obtain an execution monitoring result;
the task execution progress evaluation result module is used for performing task execution progress evaluation according to the execution supervision result and the compensation planning task to obtain a task execution progress evaluation result;
and the task adjusting module is used for carrying out task adjustment of the real-time compensation planning task according to the task execution progress evaluation result.
Further, the system further comprises:
the incomplete identification data module is used for obtaining incomplete identification data when the task execution progress evaluation result is that the compensation planning task is incomplete;
the judging module is used for judging whether the incomplete identification data is an environmental impact identification or not;
the environment abnormality correction data module is used for generating environment abnormality correction data when the incomplete identification data is an environment influence identification;
and the task constraint module is used for carrying out task constraint of the real-time compensation planning task through the environment abnormality correction data.
Further, the system further comprises:
the abnormal identification module is used for carrying out abnormal identification of team task execution when the incomplete identification data is not environmental impact identification;
and the management suggestion execution module is used for carrying out the mark accumulation statistics of team tasks based on the abnormal mark and generating the execution management suggestion of the team according to the accumulated statistics result.
Through the foregoing detailed description of a bridge construction progress management method based on BIM, those skilled in the art can clearly know a bridge construction progress management method based on BIM and a system thereof in this embodiment, and for the apparatus disclosed in the embodiment, the description is relatively simple because it corresponds to the method disclosed in the embodiment, and relevant places refer to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. The bridge construction progress management method based on BIM is characterized by comprising the following steps:
acquiring bridge building information, and constructing a BIM building information model through the bridge building information;
connecting an information interaction device, and obtaining real-time bridge construction information through the information interaction device;
obtaining construction progress planning information;
inputting the real-time bridge construction information and the construction progress planning information into the BIM building information model to obtain progress deviation data;
performing progress fitting through the BIM building information model and the construction progress planning information, and generating deviation correction feedback constraint data according to a progress fitting result;
inputting the deviation correction feedback constraint data and the progress deviation data into a progress fitting distribution model to obtain a compensation planning task;
and managing the construction progress through the compensation planning task.
2. The method of claim 1, wherein the method further comprises:
acquiring weather prediction data, and performing execution influence identification of the progress deviation data based on the weather prediction data to obtain an influence identification result;
obtaining scheduled task execution data through the BIM building information model, and generating task quantity identification data according to the scheduled task execution data;
constructing an implicit constraint layer through the influence identification result and the task quantity identification data;
adding the implicit constraint layer to the progress fit allocation model;
and obtaining the compensation planning task through the progress fitting distribution model output with the implicit constraint layer.
3. The method of claim 2, wherein the method further comprises:
obtaining a training sample data set through big data, wherein each group of training sample data in the training sample data set comprises deviation correction feedback constraint data and progress deviation data;
performing compensation planning manual identification on each group of training sample data in the training sample data set, wherein the manual identification is provided with a cost-time balance identification;
constructing the progress fitting distribution model through the training sample data set with the manual identification;
acquiring cost-time balance parameters, and inputting the cost-time balance parameters, the deviation correction feedback constraint data and the progress deviation data into the progress fitting distribution model to acquire the compensation planning task.
4. The method of claim 1, wherein the method further comprises:
performing task execution fitting through the BIM building information model to obtain a task execution fitting result;
performing task association level evaluation according to the task execution fitting result to obtain a task association level evaluation result;
inputting the construction progress planning information into the BIM building information model, and generating an inter-task association level and an association constraint time node according to the task association level evaluation result and the construction progress planning information;
and obtaining the deviation rectifying feedback constraint data through the inter-task association level and the association constraint time node.
5. The method of claim 1, wherein the method further comprises:
performing task execution supervision on the compensation planning task to obtain an execution supervision result;
performing task execution progress evaluation according to the execution supervision result and the compensation planning task to obtain a task execution progress evaluation result;
and performing task adjustment of the real-time compensation planning task according to the task execution progress evaluation result.
6. The method of claim 5, wherein the method further comprises:
when the task execution progress evaluation result is that the compensation planning task is not completed, incomplete identification data are obtained;
judging whether the incomplete identification data is an environmental impact identification or not;
when the incomplete identification data is an environmental impact identification, environmental abnormality correction data;
and performing task constraint of the real-time compensation planning task through the environment abnormality correction data.
7. The method of claim 6, wherein the method further comprises:
when the incomplete identification data is not the environmental impact identification, performing abnormal identification of team task execution;
and carrying out the identification accumulation statistics of the team task based on the abnormal identification, and generating the execution management suggestion of the team according to the accumulation statistics result.
8. A bridge construction progress management system based on BIM, for implementing the bridge construction progress management method based on BIM according to claims 1 to 7, the system being in communication connection with an information interaction device, the system comprising:
the model building module is used for acquiring bridge building information and building a BIM building information model through the bridge building information;
the construction information acquisition module is used for connecting the information interaction device and acquiring real-time bridge construction information through the information interaction device;
the construction progress planning information acquisition module is used for acquiring construction progress planning information;
the data acquisition module is used for inputting the real-time bridge construction information and the construction progress planning information into the BIM building information model to acquire progress deviation data;
the deviation correcting feedback constraint data generation module is used for performing progress fitting through the BIM building information model and the construction progress planning information and generating deviation correcting feedback constraint data according to a progress fitting result;
the compensation planning task obtaining module is used for inputting the deviation correction feedback constraint data and the progress deviation data into a progress fitting distribution model to obtain a compensation planning task;
and the construction progress management module is used for managing the construction progress through the compensation planning task.
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