BIM (Building Information Modeling)-based super-dangerous large project prediction and identification system and method

Abstract

The invention discloses a BIM (Building Information Modeling)-based super-dangerous large project prediction and identification system and method, and relates to the technical field of project safety management. The system comprises a prediction and identification model management module, an automatic prediction and identification module, a result output module, a construction scheme auxiliary compiling module, a management auxiliary module and an intelligent early warning module. According to the method, a deep foundation pit engineering prediction and identification model, a concrete formwork supporting engineering prediction and identification model, a hoisting and hoisting machinery mounting and dismounting engineering prediction and identification model, a scaffold engineering prediction and identification model and a building curtain wall mounting engineering identification model are constructed; a steel structure installation project prediction identification model and a manual hole digging pile project prediction identification model are combined with a BIM model of an uploading platform to carry out automatic prediction identification of a super-dangerous large project, a construction scheme is compiled in an auxiliary mode, identification omission is avoided, meanwhile, whole-process flow auxiliary monitoring is formed, and closed-loop management is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of engineering safety management, and in particular to a BIM-based prediction and identification system and method for ultra-dangerous and large engineering projects. Background Art

[0002] Super-dangerous and large projects are also known as: sub-projects with higher risks that exceed a certain scale. According to the Notice of the General Office of the Ministry of Housing and Urban-Rural Development on the Implementation of the "Safety Management Regulations for Sub-projects with Higher Risks" (Jianbanzhi

[2018] No. 31), super-dangerous and large projects refer to some sub-projects that require the construction unit to organize experts to conduct demonstrations. The danger of these projects is greater than that of sub-projects with higher risks, so it is necessary to organize experts to conduct demonstrations. Only after the demonstration is passed can construction be carried out.

[0003] At this stage, relevant management regulations, methods and documents only list the scope and list of super-hazardous and large projects. Before the construction of the project, the project management personnel are required to conduct subjective identification based on the list. The deviations in the project management personnel's understanding and cognition of the regulations, methods and documents can easily lead to omissions in identification, ultimately leading to increased project safety and quality risks. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a BIM-based prediction and identification system and method for super-dangerous and large projects. Through automatic prediction and identification of super-dangerous and large projects and auxiliary specification plan preparation, while avoiding omissions in identification, full-process process auxiliary monitoring is formed to achieve closed-loop management.

[0005] In a first aspect, the present invention provides a BIM-based prediction and identification system for ultra-dangerous and large projects, comprising:

[0006] Prediction and identification model management module, used to build and manage prediction and identification models, including prediction and identification models for deep foundation pit engineering, prediction and identification models for concrete formwork support engineering, prediction and identification models for lifting and hoisting and lifting machinery installation and disassembly engineering, prediction and identification models for scaffolding engineering, prediction and identification models for building curtain wall installation engineering, prediction and identification models for steel structure installation engineering, and prediction and identification models for bored pile engineering;

[0007] The automatic prediction and identification module is used to call the prediction and identification model to obtain the items or parts for judging the characteristic values ​​of super-dangerous large projects from the uploaded BIM foundation pit support model, BIM structure model, BIM assembly split model, BIM steel structure model, BIM building model, BIM curtain wall model, BIM grid, cable membrane structure model and / or BIM manual bored pile model when receiving the prediction and identification instruction, and then automatically perform prediction and identification to obtain the prediction and identification results;

[0008] The output module is used to mark the components and parts that meet the requirements of ultra-dangerous and large projects according to the prediction and identification results, and then generate a prediction and identification list and a plan preparation list for ultra-dangerous and large projects;

[0009] The construction plan auxiliary preparation module is used to automatically prepare construction plans based on the prediction and identification list of super-hazardous and large projects, the plan preparation list and relevant specifications. It matches the corresponding process flow, construction methods and operation requirements, use requirements, inspection requirements, acceptance requirements and emergency disposal measures from the established construction plan sample library according to project characteristics and corresponding construction measures, and adds them to the construction plan according to the user's selection operation;

[0010] The management assistance module is used to associate the prediction and identification results with the project schedule, realize the analysis of the construction status and the prediction of the planned construction status of the ultra-dangerous and large projects, and assist the management personnel to carry out the acceptance, safety and quality acceptance and monitoring of the ongoing ultra-dangerous and large projects;

[0011] The intelligent early warning module is used to predict and remind planned super-dangerous and large projects according to the project schedule, and to remind super-dangerous and large projects under construction according to emergencies.

[0012] In a second aspect, the present invention provides a BIM-based prediction and identification method for ultra-dangerous and large projects, comprising:

[0013] Prediction and identification model management process: construct and manage prediction and identification models, including prediction and identification models for deep foundation pit projects, prediction and identification models for concrete formwork support projects, prediction and identification models for lifting and hoisting machinery installation and disassembly projects, prediction and identification models for scaffolding projects, prediction and identification models for building curtain wall installation projects, prediction and identification models for steel structure installation projects, and prediction and identification models for bored pile projects;

[0014] Automatic prediction and identification process: when receiving the prediction and identification instruction, the prediction and identification model is called to obtain the items or parts for judging the characteristic values ​​of super-dangerous and large projects from the uploaded BIM foundation pit support model, BIM structure model, BIM assembly split model, BIM steel structure model, BIM building model, BIM curtain wall model, BIM grid, cable membrane structure model and / or BIM manual bored pile model, and then automatically predict and identify to obtain the prediction and identification results;

[0015] Output process: According to the prediction and identification results, the components and parts that meet the requirements of ultra-dangerous and large projects are marked with different colors according to different types, and then a prediction and identification list and a plan preparation list for ultra-dangerous and large projects are generated;

[0016] Construction plan auxiliary preparation process: used to automatically prepare construction plans based on the prediction and identification list of super-hazardous and large projects, the plan preparation list and relevant specifications, match the corresponding process flow, construction methods and operation requirements, use requirements, inspection requirements, acceptance requirements and emergency disposal measures from the established construction plan sample library according to project characteristics and corresponding construction measures, and add them to the construction plan according to the user's selection operation;

[0017] Management support process: Link the prediction and identification results to the project schedule to analyze the construction status of ultra-dangerous and large projects and predict the planned construction status, and assist management personnel in carrying out acceptance, safety and quality acceptance and monitoring of the ongoing ultra-dangerous and large projects;

[0018] Intelligent early warning process: forecast and remind planned super-dangerous and large projects according to the project schedule, and remind super-dangerous and large projects under construction according to emergencies.

[0019] The technical solution provided in the embodiment of the present invention has at least the following technical effects:

[0020] By implementing the application of BIM+ platform (smart construction site platform, BIM lightweight platform), automatic prediction and identification of extremely dangerous and large projects can be carried out, and color-changing annotations can be made according to different types. A prediction and identification list for extremely dangerous and large projects can be automatically generated, and assistance and standardization of plan preparation can be provided, forming a benign "human-computer interaction" and effectively avoiding subjective identification by project managers based on the list, as well as deviations in the understanding and cognition of regulations, methods and documents that can easily lead to omissions in identification. At the same time, process-assisted monitoring of the entire process is formed to achieve closed-loop management, which is of great significance to improving the safety of project construction, the prediction and control of quality risks.

[0021] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The present invention will be further described below in conjunction with embodiments with reference to the accompanying drawings.

[0023] Figure 1 This is a schematic diagram of the framework of the system in Embodiment 1 of the present invention;

[0024] Figure 2 This is a schematic diagram of color-changing marking of models according to different types in Embodiment 1 of the present invention;

[0025] Figure 3 Flow chart of the method in Embodiment 1 of the present invention. DETAILED DESCRIPTION

[0026] The embodiment of the present invention provides a BIM-based prediction and identification system and method for ultra-dangerous and large projects, which forms a full-process process-assisted monitoring and realizes closed-loop management through automatic prediction and identification of ultra-dangerous and large projects and auxiliary specification plan preparation.

[0027] The technical solution in the embodiment of the present application has the following general idea:

[0028] Based on the informatization level of existing smart construction sites and BIM lightweight platforms, there is currently no informatization application for prediction and identification of super-dangerous and large projects on the market. The present invention uses BIM models to upload to smart construction site platforms and BIM lightweight platforms, and constructs a prediction and identification model to automatically predict and identify items or parts that meet the characteristic values ​​of super-dangerous and large projects, and issues an identification list of super-dangerous and large projects. The preparation and approval of their plans and the construction and acceptance of the corresponding super-dangerous and large projects are tracked and controlled on the system, which is of great significance to improving the prediction and control of safety and quality risks in project construction.

[0029] Embodiment 1

[0030] This embodiment provides a BIM-based prediction and identification system for ultra-dangerous large projects. Figure 1 As shown, including:

[0031] Prediction and identification model management module, used to build and manage prediction and identification models, including prediction and identification models for deep foundation pit engineering, prediction and identification models for concrete formwork support engineering, prediction and identification models for lifting and hoisting and lifting machinery installation and disassembly engineering, prediction and identification models for scaffolding engineering, prediction and identification models for building curtain wall installation engineering, prediction and identification models for steel structure installation engineering, and prediction and identification models for bored pile engineering;

[0032] The prediction and identification model constructed in the prediction and identification model management module can be specifically used to obtain corresponding parameters through the platform system after uploading the BIM foundation pit support model to the smart construction site platform and the BIM lightweight platform, and then realize automatic prediction and identification. The prediction and identification model can include:

[0033] 1. Prediction and identification model of deep foundation pit engineering

[0034] Get the slope top elevation H from the uploaded BIM foundation pit support model a1 And the pit bottom elevation H an Parameters, where n is a natural number greater than 1, H an Indicates the pit bottom elevation corresponding to the areas with different pit bottom elevations; according to H a =H a1 -H a2 ≥5m judgement H aWhether it is in compliance with the earthwork excavation, support and dewatering engineering of foundation pits with an excavation depth exceeding 5m, if there is at least one H a If it meets the requirements, the part that meets the requirements will continue to be treated according to 3m≤H a =H a1 -H an <5m to determine whether the excavation depth is 3m or more for foundation pit excavation, support, and dewatering projects. If there is at least one H a If it meets the requirements, the BIM foundation pit support model corresponding to the meeting the requirements will be marked as a dangerous project.

[0035] For example, if there is a "pit within a pit", multiple pit bottom elevation parameters H will be obtained. an , n represents the areas with different elevations at the bottom of the foundation pit, and then they are calculated and identified according to the preset formula. If the depth of the large pit is greater than 3m and does not exceed 5m, and the depth of the pit in the pit exceeds 5m, the large pit is marked as a dangerous project, and the pit in the pit is marked as an extremely dangerous project.

[0036] 2. Prediction and identification model of concrete formwork support engineering

[0037] (1) Obtain the slab / beam bottom elevation H from the uploaded BIM structural model b1 , the top elevation of the lower support H b2 , according to the preset formula H b =H b1 -H b2 ≥8m to determine whether the super-dangerous large project with a height of 8m or above is to be erected; if it is in compliance, the corresponding slab / beam is marked as a super-high-dangerous large project; if it is not in compliance, then according to the preset formula 5m≤H b =H b1 -H b2 <8m to determine whether it meets the requirements of dangerous and major projects with a height of 5m or above. If so, mark the corresponding slab / beam as a dangerous and major project;

[0038] (2) Obtain the beam shear length a, the plate shear length b in the X direction, and the plate shear length c in the Y direction from the uploaded BIM structural model, and determine whether it meets the requirements of the super-dangerous and major project with a span of 18 m or more according to the preset formula a ≥ 18 m or b ≥ 18 m or c ≥ 18 m. If so, mark the corresponding beam as a super-span dangerous and major project. If not, determine whether it meets the requirements of the super-span dangerous and major project according to the preset formula a ≥ 10 m or b ≥ 10 m or c ≥ 10 m. If so, mark the corresponding beam as a dangerous and major project.

[0039] (3) Obtain the thickness d of the floor slab from the uploaded BIM structural model. If it is a wooden formwork concrete floor slab, determine whether it meets the total construction load of 15kN / m according to the preset formula d≥255.9mm 2If the project meets the requirements, the corresponding floor slab will be marked as a super heavy and dangerous project. If it does not meet the requirements, the preset formula d≥100mm will be used to determine whether it meets the total construction load of 10kN / m 2 Dangerous and major projects of 15000 m and above; use the thickness d of the floor slab to control the total construction load (design value) 15 kN / m 2 For projects above 2000, the reason is that the plate thickness is a built-in parameter of the BIM model. It is simple and feasible to use the plate thickness to judge, without the need to build in other algorithms or read too many measured parameters, which can greatly reduce the difficulty and error rate of prediction and identification.

[0040] (4) Obtain the beam section width e and beam section height h from the uploaded BIM structural model. If it is an ordinary wood formwork concrete beam, then according to the preset formula S = e × h ≥ 0.47m 2 Determine whether it meets the requirements of super-dangerous and large projects with concentrated line loads of 20kN / m and above. If it meets the requirements, mark the corresponding beam as a super-heavy and dangerous project. If it does not meet the requirements, then use the preset formula S=e×h≥0.34m 2 Determine whether it meets the requirements for dangerous and major projects with concentrated line loads of 15kN / m and above. If so, mark the corresponding beam as a dangerous and major project. If it is a steel formwork concrete slab or aluminum alloy formwork concrete slab, the corresponding slab thickness d is judged to be 0.75kN / m. 2 , 0.3kN / m 2 ; Because the beam section width and section height are built-in parameters of the BIM model, it is simple and feasible to use the beam cross-sectional area to make judgments. There is no need to build in additional algorithms or read too many measured parameters, which can greatly reduce the difficulty and error rate of prediction and identification.

[0041] 3. The prediction and identification model for lifting and hoisting and lifting machinery installation and disassembly projects is used to obtain the volume v of the prefabricated components that need to be lifted and hoisted in the identified columns (beams, plates, composite components) from the uploaded BIM prefabricated split model or BIM steel structure model. According to the preset formula v×self-weight of reinforced concrete (steel structure density)+weight of hoisting equipment (manually filled in) ≥300kN, it is judged whether it meets the requirements of super-dangerous and large projects with a lifting weight of 300kN and above. If it meets the requirements, the corresponding components will be marked as super-heavy and dangerous projects.

[0042] 4. Scaffolding Engineering Prediction and Identification Model

[0043] Get the scaffolding project category from the uploaded BIM building model:

[0044] If it is a ground-type steel pipe scaffolding project, obtain the building top floor elevation H c1 , Site ground elevation H c2 , and then according to the preset formula H c =H c1 -H c2≥50m judgment H c Whether it is suitable for the construction of floor-standing steel pipe scaffolding projects with a height of 50m or above. If it is suitable, the scaffolding will be marked as an ultra-high-risk large project. If it is not suitable, it will be marked according to the preset formula H c =H c1 -H c2 ≥24m section whether it meets the requirements for erecting floor-standing steel pipe scaffolding projects with a height of 24m and above. If so, the scaffolding will be marked as a dangerous project;

[0045] If it is an attached lifting scaffolding project or an attached lifting operating platform project, obtain the building top floor elevation H d1 , Site ground elevation H d2 , and then according to the preset formula H d =H d1 -H d2 ≥150m, judge H d Whether it meets the requirements for attached lifting scaffolding projects or attached lifting operating platform projects with a lifting height of 150m or above. If so, the scaffolding will be marked as an ultra-high-risk large project;

[0046] If it is a cantilever scaffolding project, obtain the manually set cantilever steel beam floor elevation H e1 and the floor elevation H of the previous cantilevered steel beam e2 , through H e =H e1 -H e2 ≥20m judgement H e Whether it meets the requirements of cantilever scaffolding projects with segmented frame erection height of 20m and above. If so, the scaffolding will be marked as an ultra-high-risk large project.

[0047] 5. Building curtain wall installation project identification model

[0048] Get the curtain wall top elevation H from the uploaded BIM curtain wall model f And bottom elevation H g , according to the preset formula H f -H g ≥50m. If it meets the criteria, the BIM curtain wall model will be marked as an ultra-high-risk large project.

[0049] 6. Prediction and identification model for steel structure installation engineering

[0050] Obtain the component shear length l1 from the uploaded BIM steel structure model and judge it according to the preset formula l1≥36m, or obtain the component shear length l2 from the BIM grid and cable-membrane structure model and judge it according to the preset formula l2≥60m. If it meets the requirements, mark the corresponding component as an ultra-span dangerous project.

[0051] 7. Prediction and identification model of bored pile engineering

[0052] The pile length L is obtained from the uploaded BIM bored pile model and judged according to the preset formula L≥16m. If it meets the requirements, the corresponding component will be marked as an ultra-high-risk large project.

[0053] The automatic prediction and identification module is used to call the prediction and identification model when receiving the prediction and identification instruction, to obtain the items or parts for judging the characteristic values ​​of super-dangerous and large projects from the BIM foundation pit support model, BIM structure model, BIM prefabricated split model, BIM steel structure model, BIM building model, BIM curtain wall model and / or BIM bored pile model uploaded to the platform, and then perform automatic prediction and identification to obtain prediction and identification results; the above models are uploaded according to the actual construction situation, and the corresponding models are uploaded for the models involved in the construction project. Usually, multiple models are uploaded at the same time, and each prediction and identification model is called in turn for prediction and identification according to the uploaded models.

[0054] The output module is used to mark the components and parts that meet the requirements of super-dangerous and large projects according to the prediction and identification results. Specifically, the models or components and parts corresponding to dangerous and large projects, super-high-risk and large projects, super-heavy and dangerous and large projects, and super-span dangerous and large projects can be marked with different colors, such as Figure 2 As shown, a prediction and identification list for super-dangerous and large projects and a plan preparation list are then generated; among them, the prediction and identification list for super-dangerous and large projects is a summary of the prediction and identification results of each model, and the plan preparation list is an auxiliary preparation module for the construction plan, including all construction projects, not limited to the dangerous or super-dangerous parts.

[0055] The construction plan auxiliary preparation module is used to automatically prepare construction plans according to the prediction and identification list of super-dangerous and large projects, the plan preparation list and relevant specifications (such as the "Guidelines for the Preparation of Special Construction Plans for Parts and Items of Projects with High Dangerous Properties" Construction Office Quality

[2021] No. 48). The corresponding process flow, construction methods and operation requirements, use requirements, inspection requirements, acceptance requirements and emergency response measures are matched from the established construction plan sample library according to the project characteristics and corresponding construction measures, and displayed for users to choose. According to the user's selected operation, it is added to the construction plan, and the cover, directory, preparation basis of the corresponding plan can be automatically prepared, and the existing project profile on the smart construction site platform can be automatically filled in. The content improves the efficiency and standardization of the preparation of the corresponding construction plan to a great extent and reduces omissions. It can also be used to track the process after the construction plan is prepared. If the plan is not approved in the approval process, the unapproved part is highlighted and a new construction plan is generated based on the modification for re-approval; if the plan is approved, it will enter the expert demonstration process. If the expert demonstration is not passed, the unapproved part is highlighted and a new construction plan is generated based on the modification for re-demonstration until the expert demonstration is passed. After the current construction plan is approved by experts, it will be saved in the construction plan sample library, forming a continuous establishment and update.

[0056] The management assistance module is used to associate the prediction and identification results with the project schedule (the project schedule includes the planned construction time corresponding to each construction project), to realize the analysis of the ongoing construction status and the prediction of the planned construction status of super-dangerous and large projects, and to assist management personnel in conducting placard acceptance, safety and quality acceptance and monitoring of ongoing super-dangerous and large projects; when applied to construction companies and even government regulatory departments, it can realize the analysis of the ongoing construction status and the prediction of the planned construction status of super-dangerous and large projects, and realize cross-departmental and cross-unit collaborative supervision, thereby improving the overall safety, quality level and regulatory enforcement level.

[0057] The intelligent early warning module is used to predict and remind planned super-dangerous and large projects according to the project schedule, and to remind super-dangerous and large projects under construction according to emergencies. For example, it can link with other management modules of the smart construction site platform and other supervision platforms, such as meteorological and hydrological weather platforms, to timely count the number and locations of super-dangerous and large projects under the supervision scope before the arrival of extreme climate such as typhoons, heavy rains, and floods, and take reinforcement, emergency and other measures or actions in time to truly give priority to prevention and avoid the occurrence of risks and losses caused by risks.

[0058] Based on the same inventive concept, the present application also provides a method corresponding to the system in Example 1, see Example 2 for details.

[0059] Embodiment 2

[0060] In this embodiment, a BIM-based prediction and identification method for ultra-dangerous large projects is provided. Figure 3 As shown, including:

[0061] Prediction and identification model management process: construct and manage prediction and identification models, including prediction and identification models for deep foundation pit projects, prediction and identification models for concrete formwork support projects, prediction and identification models for lifting and hoisting machinery installation and disassembly projects, prediction and identification models for scaffolding projects, prediction and identification models for building curtain wall installation projects, prediction and identification models for steel structure installation projects, and prediction and identification models for bored pile projects;

[0062] Automatic prediction and identification process: When receiving the prediction and identification instruction, the prediction and identification model is called to obtain the items or parts for judging the characteristic values ​​of super-dangerous and large projects from the BIM foundation pit support model, BIM structure model, BIM assembly split model, BIM steel structure model, BIM building model, BIM curtain wall model, BIM grid, cable membrane structure model and / or BIM manual bored pile model uploaded to the platform, and then automatically predict and identify to obtain the prediction and identification results;

[0063] Output process: According to the prediction and identification results, the components and parts that meet the requirements of ultra-dangerous and large projects are marked with different colors according to different types, and then a prediction and identification list and a plan preparation list for ultra-dangerous and large projects are generated;

[0064] Construction plan auxiliary preparation process: used to automatically prepare construction plans based on the prediction and identification list of super-hazardous and large projects, the plan preparation list and relevant specifications, match the corresponding process flow, construction methods and operation requirements, use requirements, inspection requirements, acceptance requirements and emergency disposal measures from the established construction plan sample library according to project characteristics and corresponding construction measures, and add them to the construction plan according to the user's selection operation;

[0065] Management support process: Link the prediction and identification results to the project schedule to analyze the construction status of ultra-dangerous and large projects and predict the planned construction status, and assist management personnel in carrying out acceptance, safety and quality acceptance and monitoring of the ongoing ultra-dangerous and large projects;

[0066] Intelligent early warning process: forecast and remind planned super-dangerous and large projects according to the project schedule, and remind super-dangerous and large projects under construction according to emergencies.

[0067] Specifically, the deep foundation pit engineering prediction and identification model is used to obtain the slope top elevation H from the uploaded BIM foundation pit support model. a1 And the pit bottom elevation H an Parameters, where n is a natural number greater than 1, H an Indicates the pit bottom elevation corresponding to the areas with different pit bottom elevations; according to H a =H a1 -H a2 ≥5m judgement H aWhether it is in compliance with the earthwork excavation, support and dewatering engineering of foundation pits with an excavation depth exceeding 5m, if there is at least one H a If the BIM foundation pit support model of the compliant part is marked as a super-dangerous project, the non-compliant part will continue to be marked as 3m≤H a =H a1 -H an <5m determines whether it meets the requirements for earthwork excavation, support, and dewatering engineering of foundation pits with excavation depths of 3m or more. If at least one Ha meets the requirements, the BIM foundation pit support model corresponding to the meeting requirements will be marked as a major and dangerous project.

[0068] The concrete formwork support engineering prediction and identification model is used to obtain the slab / beam bottom elevation H from the uploaded BIM structure model. b1 , the top elevation of the lower support H b2 , according to the preset formula H b =H b1 -H b2 ≥8m to determine whether it meets the requirements for ultra-high-risk and large projects with a construction height of 8m or above; if so, mark the corresponding slab / beam as an ultra-high-risk and large project; and

[0069] Obtain the beam shear length a, the plate shear length b in the X direction, and the plate shear length c in the Y direction from the uploaded BIM structural model. According to the preset formula a≥18m or b≥18m or c≥18m, determine whether it meets the requirements for erecting super-dangerous and large projects with a span of 18m or more. If it meets the requirements, mark the corresponding beam as a super-span dangerous and large project. If it does not meet the requirements, then use the preset formula 5m≤H b =H b1 -H b2 <8m to determine whether it meets the requirements of dangerous and major projects with a height of 5m or above. If so, mark the corresponding slab / beam as a dangerous and major project; and

[0070] Obtain the thickness d of the floor slab from the uploaded BIM structural model. If it is a wooden formwork concrete floor slab, determine whether it meets the total construction load of 15kN / m according to the preset formula d≥255.9mm 2 If the project meets the requirements, the corresponding floor slab will be marked as a super heavy and dangerous project. If it does not meet the requirements, the preset formula d≥100mm will be used to determine whether it meets the total construction load of 10kN / m 2 Dangerous and major works of 2000 m2 or above; and

[0071] Obtain the beam section width e and beam section height h from the uploaded BIM structural model. If it is an ordinary wood formwork concrete beam, then according to the preset formula S = e × h ≥ 0.47m 2Determine whether it meets the requirements of the super-dangerous and large project with concentrated line load of 20kN / m and above. If it meets the requirements, mark the corresponding beam as a super-heavy and dangerous project; if it does not meet the requirements, then use the preset formula S=e×h≥0.34m 2 Determine whether it meets the requirements for dangerous and major projects with concentrated line loads of 15kN / m and above. If so, mark the corresponding beam as a dangerous and major project.

[0072] The lifting and hoisting and lifting machinery installation and disassembly engineering prediction and identification model is used to obtain the volume v of the lifting and hoisting prefabricated components from the uploaded BIM assembly split model or BIM steel structure model, and judge whether it meets the super-dangerous and large projects with a lifting weight of 300kN and above according to the preset formula v×reinforced concrete deadweight+lifting equipment weight ≥300kN. If it meets the requirements, the corresponding components are marked as super-dangerous and large projects;

[0073] The scaffolding engineering prediction and identification model is used to obtain the scaffolding engineering category from the uploaded BIM building model:

[0074] If it is a ground-type steel pipe scaffolding project, obtain the building top floor elevation H c1 , Site ground elevation H c2 , and then according to the preset formula H c =H c1 -H c2 ≥50m judgment H c Whether it is suitable for ground-type steel pipe scaffolding projects with a height of 50m or above. If it is suitable, the scaffolding will be marked as a super high-risk large project;

[0075] If it is an attached lifting scaffolding project or an attached lifting operating platform project, obtain the building top floor elevation H d1 , Site ground elevation H d2 , and then according to the preset formula H d =H d1 -H d2 ≥150m, judge H d Whether it meets the requirements for attached lifting scaffolding projects or attached lifting operating platform projects with a lifting height of 150m or above. If so, the scaffolding will be marked as an ultra-high-risk large project;

[0076] If it is a cantilever scaffolding project, obtain the manually set cantilever steel beam floor elevation H e1 and the floor elevation H of the previous cantilevered steel beam e2 , through H e =H e1 -H e2 ≥20m judgement H eWhether it meets the requirements for cantilever scaffolding projects with a segmented frame erection height of 20m or above. If so, the scaffolding will be marked as an ultra-high-risk large project;

[0077] The building curtain wall installation engineering identification model is used to obtain the curtain wall top elevation H from the uploaded BIM curtain wall model. f , according to the preset formula H f ≥50m judgment, if it meets the requirements, the BIM curtain wall model will be marked as a super high-risk large project;

[0078] The steel structure installation project prediction and identification model is used to obtain the component shear length l1 from the uploaded BIM steel structure model, and judge according to the preset formula l1≥36m, or obtain the component shear length l2 from the BIM grid and cable membrane structure model, and judge according to the preset formula l2≥60m. If it meets the requirements, the corresponding component is marked as a super-span dangerous project;

[0079] The artificial bored pile engineering prediction and identification model is used to obtain the pile length L from the uploaded BIM artificial bored pile model, and judge according to the preset formula L≥16m. If it meets the requirements, the corresponding component is marked as an ultra-high-risk large project.

[0080] Preferably, during the output of the results, the models or components or parts corresponding to the dangerous and large projects, the ultra-high dangerous and large projects, the ultra-heavy and dangerous and large projects, and the ultra-span dangerous and large projects are marked with different colors.

[0081] Preferably, the auxiliary construction plan preparation process also includes, after the construction plan preparation is completed, process tracking is performed. If the plan fails to be approved in the approval process, the failed part is highlighted and a new construction plan is generated based on the modification for re-approval. If the plan is approved, the expert review process is entered. If the expert review fails, the failed part is highlighted and a new construction plan is generated based on the modification for re-review until the expert review passes.

[0082] Preferably, the auxiliary construction plan preparation process also includes saving the current construction plan into a construction plan sample library after it has been approved by experts.

[0083] The present invention realizes the application of BIM+ platform (smart construction site platform, BIM lightweight platform) to automatically predict and identify super-dangerous and large projects, perform color-changing annotations according to different types, and automatically generate a prediction and identification list for super-dangerous and large projects, and assist and standardize the preparation of plans, forming a benign "human-computer interaction", effectively avoiding subjective identification by project managers based on the list, and the omission of identification caused by deviations in the understanding and cognition of regulations, methods and documents, while forming process-assisted monitoring of the entire process to achieve closed-loop management, which is of great significance to improving the safety of project construction, the prediction and control of quality risks.

[0084] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0085] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0086] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0087] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0088] Although the specific implementation modes of the present invention are described above, those skilled in the art should understand that the specific implementation modes described are only illustrative and are not intended to limit the scope of the present invention. Equivalent modifications and changes made by those skilled in the art in accordance with the spirit of the present invention should be included in the scope of protection of the claims of the present invention.

Claims

1. A BIM-based prediction and identification system for ultra-dangerous large projects, characterized by: include: Prediction and identification model management module, used to build and manage prediction and identification models, including prediction and identification models for deep foundation pit engineering, prediction and identification models for concrete formwork support engineering, prediction and identification models for lifting and hoisting and lifting machinery installation and disassembly engineering, prediction and identification models for scaffolding engineering, prediction and identification models for building curtain wall installation engineering, prediction and identification models for steel structure installation engineering, and prediction and identification models for bored pile engineering; The automatic prediction and identification module is used to call the prediction and identification model to obtain the items or parts for judging the characteristic values ​​of super-dangerous large projects from the BIM foundation pit support model, BIM structure model, BIM assembly split model, BIM steel structure model, BIM building model, BIM curtain wall model, BIM grid, cable membrane structure model and / or BIM manual bored pile model uploaded to the platform when the prediction and identification instruction is received, and then automatically perform prediction and identification to obtain the prediction and identification results; The output module is used to mark the components and parts that meet the requirements of ultra-dangerous and large projects according to the prediction and identification results, and then generate a prediction and identification list and a plan preparation list for ultra-dangerous and large projects; The construction plan auxiliary preparation module is used to automatically prepare construction plans based on the prediction and identification list of super-hazardous and large projects, the plan preparation list and relevant specifications. It matches the corresponding process flow, construction methods and operation requirements, use requirements, inspection requirements, acceptance requirements and emergency disposal measures from the established construction plan sample library according to project characteristics and corresponding construction measures, and adds them to the construction plan according to the user's selection operation; The management assistance module is used to associate the prediction and identification results with the project schedule, realize the analysis of the construction status and the prediction of the planned construction status of the ultra-dangerous and large projects, and assist the management personnel to carry out the acceptance, safety and quality acceptance and monitoring of the ongoing ultra-dangerous and large projects; The intelligent early warning module is used to predict and remind planned super-dangerous and large projects according to the project schedule, and to remind super-dangerous and large projects under construction according to emergencies.

2. The system according to claim 1, characterized in that: The deep foundation pit engineering prediction and identification model is used to obtain the slope top elevation H from the uploaded BIM foundation pit support model. a1 And the pit bottom elevation H an Parameters, where n is a natural number greater than 1, H an Indicates the pit bottom elevation corresponding to the areas with different pit bottom elevations; according to H a =H a1 -H an ≥5m judgment H a Whether it is in compliance with the earthwork excavation, support and dewatering engineering of foundation pits with an excavation depth exceeding 5m, if there is at least one H a If the BIM foundation pit support model of the compliant part is marked as a super-dangerous project, the non-compliant part will continue to be marked as 3m≤H a =H a1 -H an <5m to determine whether the excavation depth is 3m or more for foundation pit excavation, support, and dewatering projects. If there is at least one H a If it meets the requirements, the BIM foundation pit support model corresponding to the meeting requirements will be marked as a dangerous project; The concrete formwork support engineering prediction and identification model is used to obtain the slab / beam bottom elevation H from the uploaded BIM structure model. b1 , the top elevation of the lower support H b2 , first according to the preset formula H b =H b1 -H b2 ≥8m to determine whether it meets the requirements of super-dangerous and large projects with a height of 8m or above. If it meets the requirements, the corresponding slab / beam will be marked as a super-high-dangerous and large project; if it does not meet the requirements, then according to the preset formula 5m≤H b =H b1 -H b2 <8m to determine whether it meets the requirements of dangerous and major projects with a height of 5m or above. If so, mark the corresponding slab / beam as a dangerous and major project; Obtain the beam shear length a, the plate shear length b in the X direction, and the plate shear length c in the Y direction from the uploaded BIM structural model, and determine whether it meets the requirements for super-dangerous and major projects with a span of 18m or more according to the preset formula a≥18m or b≥18m or c≥18m. If so, mark the corresponding beam as a super-span dangerous and major project. If not, determine whether it meets the requirements for dangerous and major projects with a span of 10m or more according to the preset formula a≥10m or b≥10m or c≥10m. If so, mark the corresponding beam as a dangerous and major project; and Obtain the thickness d of the floor slab from the uploaded BIM structural model. If it is a wooden formwork concrete floor slab, determine whether it meets the total construction load of 15kN / m according to the preset formula d≥255.9mm 2 If the project meets the requirements, the corresponding floor slab will be marked as a super heavy and dangerous project. If it does not meet the requirements, the preset formula d≥100mm will be used to determine whether it meets the total construction load of 10kN / m 2 Dangerous and major works of 2000 m2 or above; and Obtain the beam section width e and beam section height h from the uploaded BIM structural model. If it is an ordinary wood formwork concrete beam, then according to the preset formula S = e × h ≥ 0.47m 2 Determine whether it meets the requirements of super-dangerous and large projects with concentrated line loads of 20kN / m and above. If it meets the requirements, mark the corresponding beam as a super-heavy and dangerous project. If it does not meet the requirements, then use the preset formula S=e×h≥0.34m 2 Determine whether it meets the requirements for dangerous and major projects with concentrated line loads of 15kN / m and above. If so, mark the corresponding beam as a dangerous and major project. The lifting and hoisting and lifting machinery installation and disassembly engineering prediction and identification model is used to obtain the volume v of the lifting and hoisting prefabricated components from the uploaded BIM assembly split model or BIM steel structure model, and judge whether it meets the super-dangerous and large projects with a lifting weight of 300kN and above according to the preset formula v×reinforced concrete deadweight+lifting equipment weight ≥300kN. If it meets the requirements, the corresponding components are marked as super-dangerous and large projects; The scaffolding engineering prediction and identification model is used to obtain the scaffolding engineering category from the uploaded BIM building model: If it is a ground-type steel pipe scaffolding project, obtain the building top floor elevation H c1 、Site ground elevation H c2 , and then according to the preset formula H c =H c1 -H c2 ≥50m determines whether it meets the requirements for floor-standing steel pipe scaffolding projects with a height of 50m or above. If it meets the requirements, the scaffolding will be marked as a super-high-risk large project. If it does not meet the requirements, the scaffolding will be marked as a super-high-risk large project according to the preset formula H c =H c1 -H c2 ≥24m section whether it meets the requirements for erecting floor-standing steel pipe scaffolding projects with a height of 24m and above. If so, the scaffolding will be marked as a dangerous project; If it is an attached lifting scaffolding project or an attached lifting operating platform project, obtain the building top floor elevation H d1 、Site ground elevation H d2 , and then according to the preset formula H d =H d1 -H d2 ≥150m, judge H d Whether it meets the requirements for attached lifting scaffolding projects or attached lifting operating platform projects with a lifting height of 150m or above. If so, the scaffolding will be marked as an ultra-high-risk large project; If it is a cantilever scaffolding project, obtain the manually set cantilever steel beam floor elevation H e1 and the floor elevation H of the previous cantilevered steel beam e2 , through H e =H e1 -H e2 ≥20m judgement H e Whether it meets the requirements for cantilever scaffolding projects with a segmented frame erection height of 20m or above. If so, the scaffolding will be marked as an ultra-high-risk large project; The building curtain wall installation engineering identification model is used to obtain the curtain wall top elevation H from the uploaded BIM curtain wall model. f And bottom elevation H g , according to the preset formula H f -H g ≥50m judgment, if it meets the requirements, the BIM curtain wall model will be marked as a super high-risk large project; The steel structure installation project prediction and identification model is used to obtain the component shear length l1 from the uploaded BIM steel structure model, and judge according to the preset formula l1≥36m, or obtain the component shear length l2 from the BIM grid and cable membrane structure model, and judge according to the preset formula l2≥60m. If it meets the requirements, the corresponding component is marked as a super-span dangerous project; The artificial bored pile engineering prediction and identification model is used to obtain the pile length L from the uploaded BIM artificial bored pile model, and judge according to the preset formula L≥16m. If it meets the requirements, the corresponding component is marked as an ultra-high-risk large project.

3. The system according to claim 2, characterized in that In the achievement output module, the models or components and parts corresponding to the dangerous and major projects, the super-high-risk and major projects, the super-heavy and major dangerous projects and the super-span dangerous and major projects are marked with different colors.

4. The system according to claim 1, characterized in that: The construction plan auxiliary preparation module is also used to track the process after the construction plan is prepared. If the plan fails to pass the approval process, the failed part is highlighted and a new construction plan is generated according to the modification for re-approval; If the plan is approved, it will enter the expert review process. If the expert review fails, the failed parts will be highlighted and a new construction plan will be generated based on the modifications for re-review until the expert review passes.

5. The system according to claim 4, characterized in that: The construction plan auxiliary compilation module is also used to save the current construction plan into the construction plan sample library after it is approved by experts.

6. A BIM-based prediction and identification method for ultra-dangerous large projects, characterized in that: include: Prediction and identification model management process: construct and manage prediction and identification models, including prediction and identification models for deep foundation pit projects, prediction and identification models for concrete formwork support projects, prediction and identification models for lifting and hoisting machinery installation and disassembly projects, prediction and identification models for scaffolding projects, prediction and identification models for building curtain wall installation projects, prediction and identification models for steel structure installation projects, and prediction and identification models for bored pile projects; Automatic prediction and identification process: When receiving the prediction and identification instruction, the prediction and identification model is called to obtain the items or parts for judging the characteristic values ​​of super-dangerous and large projects from the BIM foundation pit support model, BIM structure model, BIM assembly split model, BIM steel structure model, BIM building model, BIM curtain wall model, BIM grid, cable membrane structure model and / or BIM manual bored pile model uploaded to the platform, and then automatically predict and identify to obtain the prediction and identification results; Output process: According to the prediction and identification results, the components and parts that meet the requirements of ultra-dangerous and large projects are marked with different colors according to different types, and then a prediction and identification list and a plan preparation list for ultra-dangerous and large projects are generated; Construction plan auxiliary preparation process: used to automatically prepare construction plans based on the prediction and identification list of super-hazardous and large projects, the plan preparation list and relevant specifications, match the corresponding process flow, construction methods and operation requirements, use requirements, inspection requirements, acceptance requirements and emergency disposal measures from the established construction plan sample library according to project characteristics and corresponding construction measures, and add them to the construction plan according to the user's selection operation; Management support process: Link the prediction and identification results to the project schedule to analyze the construction status of ultra-dangerous and large projects and predict the planned construction status, and assist management personnel in carrying out acceptance, safety and quality acceptance and monitoring of the ongoing ultra-dangerous and large projects; Intelligent early warning process: forecast and remind planned super-dangerous and large projects according to the project schedule, and remind super-dangerous and large projects under construction according to emergencies.

7. The method according to claim 6, characterized in that: The deep foundation pit engineering prediction and identification model is used to obtain the slope top elevation H from the uploaded BIM foundation pit support model. a1 And the pit bottom elevation H an Parameters, where n is a natural number greater than 1, H an Indicates the pit bottom elevation corresponding to the areas with different pit bottom elevations; according to H a =H a1 -H an ≥5m judgment H a Whether it is in compliance with the earthwork excavation, support and dewatering engineering of foundation pits with an excavation depth exceeding 5m, if there is at least one H a If the BIM foundation pit support model of the compliant part is marked as a super-dangerous project, the non-compliant part will continue to be marked as 3m≤H a =H a1 -H an <5m to determine whether the excavation depth is 3m or more for foundation pit excavation, support, and dewatering projects. If there is at least one H a If it meets the requirements, the BIM foundation pit support model corresponding to the meeting requirements will be marked as a dangerous project; The concrete formwork support engineering prediction and identification model is used to obtain the slab / beam bottom elevation H from the uploaded BIM structure model. b1 , the top elevation of the lower support H b2 , first according to the preset formula H b =H b1 -H b2 ≥8m to determine whether it meets the requirements for ultra-high-risk and large projects with a height of 8m or above; if it meets the requirements, the corresponding slab / beam will be marked as an ultra-high-risk and large project; if it does not meet the requirements, then according to the preset formula 5m≤H b =H b1 -H b2 <8m to determine whether it meets the requirements of dangerous and major projects with a height of 5m or above. If so, mark the corresponding slab / beam as a dangerous and major project; and Obtain the beam shear length a, the plate shear length b in the X direction, and the plate shear length c in the Y direction from the uploaded BIM structural model, and determine whether it meets the requirements for super-dangerous and major projects with a span of 18m or more according to the preset formula a≥18m or b≥18m or c≥18m. If so, mark the corresponding beam as a super-span dangerous and major project. If not, determine whether it meets the requirements for dangerous and major projects with a span of 10m or more according to the preset formula a≥10m or b≥10m or c≥10m. If so, mark the corresponding beam as a dangerous and major project; and Obtain the thickness d of the floor slab from the uploaded BIM structural model. If it is a wooden formwork concrete floor slab, determine whether it meets the total construction load of 15kN / m according to the preset formula d≥255.9mm 2 If the project meets the requirements, the corresponding floor slab will be marked as a super heavy and dangerous project. If it does not meet the requirements, the preset formula d≥100mm will be used to determine whether it meets the total construction load of 10kN / m 2 Dangerous and major works of 2000 m2 or above; and Obtain the beam section width e and beam section height h from the uploaded BIM structural model. If it is an ordinary wood formwork concrete beam, then according to the preset formula S = e × h ≥ 0.47m 2 Determine whether it meets the requirements of super-dangerous and large projects with concentrated line loads of 20kN / m and above. If it meets the requirements, mark the corresponding beam as a super-heavy and dangerous project. If it does not meet the requirements, then use the preset formula S=e×h≥0.34m 2 Determine whether it meets the requirements for dangerous and major projects with concentrated line loads of 15kN / m and above. If so, mark the corresponding beam as a dangerous and major project. The lifting and hoisting and lifting machinery installation and disassembly engineering prediction and identification model is used to obtain the volume v of the lifting and hoisting prefabricated components from the uploaded BIM assembly split model or BIM steel structure model, and judge whether it meets the super-dangerous and large projects with a lifting weight of 300kN and above according to the preset formula v×reinforced concrete deadweight+lifting equipment weight ≥300kN. If it meets the requirements, the corresponding components are marked as super-dangerous and large projects; The scaffolding engineering prediction and identification model is used to obtain the scaffolding engineering category from the uploaded BIM building model: If it is a ground-type steel pipe scaffolding project, obtain the building top floor elevation H c1 、Site ground elevation H c2 , and then according to the preset formula H c =H c1 -H c2 ≥50m determines whether it meets the requirements for floor-standing steel pipe scaffolding projects with a height of 50m or above. If it meets the requirements, the scaffolding will be marked as a super-high-risk large project. If it does not meet the requirements, the scaffolding will be marked as a super-high-risk large project according to the preset formula H c =H c1 -H c2 ≥24m section whether it meets the requirements for erecting floor-standing steel pipe scaffolding projects with a height of 24m and above. If so, the scaffolding will be marked as a dangerous project; If it is an attached lifting scaffolding project or an attached lifting operating platform project, obtain the building top floor elevation H d1 、Site ground elevation H d2 , and then according to the preset formula H d =H d1 -H d2 ≥150m, judge H d Whether it meets the requirements for attached lifting scaffolding projects or attached lifting operating platform projects with a lifting height of 150m or above. If so, the scaffolding will be marked as an ultra-high-risk large project; If it is a cantilever scaffolding project, obtain the manually set cantilever steel beam floor elevation H e1 and the floor elevation H of the previous cantilevered steel beam e2 , through H e =H e1 -H e2 ≥20m judgement H e Whether it meets the requirements for cantilever scaffolding projects with a segmented frame erection height of 20m or above. If so, the scaffolding will be marked as an ultra-high-risk large project; The building curtain wall installation engineering identification model is used to obtain the curtain wall top elevation and bottom elevation H from the uploaded BIM curtain wall model. g , according to the preset formula H f -H g ≥50m judgment, if it meets the requirements, the BIM curtain wall model will be marked as a super high-risk large project; The steel structure installation project prediction and identification model is used to obtain the component shear length l1 from the uploaded BIM steel structure model, and judge according to the preset formula l1≥36m, or obtain the component shear length l2 from the BIM grid and cable membrane structure model, and judge according to the preset formula l2≥60m. If it meets the requirements, the corresponding component is marked as a super-span dangerous project; The artificial bored pile engineering prediction and identification model is used to obtain the pile length L from the uploaded BIM artificial bored pile model, and judge according to the preset formula L≥16m. If it meets the requirements, the corresponding component is marked as an ultra-high-risk large project.

8. The method according to claim 7, characterized in that During the output process of the results, the models or components and parts corresponding to the dangerous and major projects, the super-high-risk and major projects, the super-heavy and major dangerous projects, and the super-span dangerous and major projects are marked with different colors.

9. The method according to claim 6, characterized in that: The auxiliary construction plan preparation process also includes tracking the process after the construction plan is prepared. If the plan fails to pass the approval process, the failed part is highlighted and a new construction plan is generated based on the modification for re-approval. If the plan is approved, it will enter the expert review process. If the expert review fails, the failed parts will be highlighted and a new construction plan will be generated based on the modifications for re-review until the expert review passes.

10. The method according to claim 9, characterized in that: The auxiliary construction plan preparation process also includes saving the current construction plan into a construction plan sample library after it has been verified by experts.

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