CN115169974A - Construction risk early warning system and method based on dynamic simulation - Google Patents
Construction risk early warning system and method based on dynamic simulation Download PDFInfo
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Abstract
The invention relates to a construction risk early warning system and method based on dynamic simulation. The early warning system at least comprises a data acquisition platform, a digital twin platform and a central control platform. The data acquisition platform acquires characteristic data in a construction site in real time through information collection equipment arranged on the construction site and/or in a remote mode, and transmits the characteristic data to the digital twin platform and the central control platform. The digital twin platform establishes a corresponding three-dimensional model based on original data of a construction site, updates the three-dimensional model by utilizing characteristic data, and displays the established three-dimensional model through a configured display unit. The central control platform analyzes the characteristic data, and transmits the analysis result to the digital twin platform when the analysis result indicates that a risk exists. And the digital twin platform generates a danger prompt model corresponding to the analysis result and transmits the danger prompt model to the display unit to visually display the impending danger.
Description
Technical Field
The invention relates to the technical field of building construction, in particular to a construction risk early warning system and method based on dynamic simulation.
Background
At present, the urbanization construction enters a new period, namely, when new civil engineering is carried out, existing non-detachable buildings mostly exist around a construction site, and the safety of a new construction is ensured and the structural safety of the existing buildings cannot be influenced by the new construction. For example, when underground pipe laying is performed or subway stations are built, it is necessary to avoid damage to the surface of high buildings, roads or underground existing municipal pipelines (sewage pipelines, natural gas pipelines).
In the prior art, before actual construction, a two-dimensional construction design drawing can be converted into a three-dimensional image through the application of a BIM technology so as to carry out more visual display and contribute to construction education on a construction site. The existing BIM model can mark the regions where risks are likely to occur, but is lack of prediction of the risk regions in the construction process. In the underground construction process, the influence on the construction safety is mainly the property of a soil layer, while the risk assessment method in the prior art for the construction process is mainly to analyze through finite element numerical simulation before formal construction, and the soil layer parameters used for simulation are mainly test data, so that the actual change of the soil layer parameters in the underground construction process under the complex conditions of a construction site cannot be truly reflected.
Chinese patent publication No. CN105416343A discloses a comprehensive early warning method and system for track construction, the method comprising: respectively collecting basic data of each single service subsystem in the construction monitoring management system; performing data fusion on the basic data by adopting an engineering visualization technology and a Geographic Information System (GIS), generating early warning information of different service subsystems and dynamically displaying the early warning information on an electronic map respectively; monitoring the early warning information of the different service subsystems to obtain early warning values corresponding to the different service subsystems; and comparing the early warning values corresponding to the different service subsystems with corresponding preset threshold values respectively, and if the early warning values corresponding to the different service subsystems are greater than the corresponding preset threshold values, sending corresponding early warning signals.
The prior art has at least the following disadvantages in the manner of comparing the early warning value with the preset threshold value to carry out risk early warning:
the monitoring of the soil body parameters in the prior art often includes vibration monitoring, that is, the early warning value includes the vibration value of the soil body, but because the existing underground engineering often needs to wear the soil body below buildings such as high buildings and roads, taking the road as an example, when the soil body is under construction, the road still needs to be kept normal and unobstructed, so that the vibration value of the monitored soil body causes misjudgment because the vibration caused when the vehicle runs exceeds a preset threshold value.
Aiming at the defects of the prior art, the invention provides a construction risk early warning method based on dynamic simulation. The invention collects the characteristic data of each entity in the construction site in real time through the information collecting equipment arranged on the construction site and/or in a remote way, and respectively transmits the characteristic data to the digital twin platform and the central control platform. The digital twin platform establishes a corresponding three-dimensional model based on the original data of each entity of the collected construction site, and updates the three-dimensional model according to the characteristic data, thereby realizing the dynamic simulation of the construction process. The central control platform analyzes the characteristic data by utilizing the big data analysis model, sends risk early warning to a disposal department when the analysis result indicates that a risk exists, disposes the risk, and transmits the analysis result to the digital twin platform to visually display the impending danger. The central control platform is at least provided with a first risk analysis mode and a second risk analysis mode, wherein the first risk analysis mode may refer to the central control platform comparing the characteristic data with a preset threshold, and the second risk analysis mode may refer to the central control platform determining whether an entity corresponding to the characteristic data exceeding the preset threshold has a risk.
Furthermore, on the one hand, due to the differences in understanding to those skilled in the art; on the other hand, since the applicant has studied a great deal of literature and patents when making the present invention, but the disclosure is not limited thereto and the details and contents thereof are not listed in detail, it is by no means the present invention has these prior art features, but the present invention has all the features of the prior art, and the applicant reserves the right to increase the related prior art in the background.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to associate the engineering surrounding environment with the engineering structure and dynamically simulate the change of the engineering structure and the surrounding environment in the construction process through a three-dimensional model, and simultaneously, the invention can realize the early warning function according to the change of the engineering structure and the surrounding environment.
A construction risk early warning system based on dynamic simulation at least comprises a data acquisition platform, a digital twin platform and a central control platform. The data acquisition platform acquires the characteristic data of each entity in a construction site in real time through information collection equipment arranged on the construction site and/or in a remote mode, and transmits the characteristic data to the digital twin platform and the central control platform respectively. And the digital twin platform establishes a corresponding three-dimensional model based on the original data of each entity of the collected construction site, updates the three-dimensional model according to the characteristic data, and displays the established three-dimensional model through a configured display unit. The central control platform analyzes the characteristic data by utilizing a big data analysis model, sends risk early warning to a disposal department to dispose risks when the analysis result shows that the risks exist, and transmits the analysis result to the digital twin platform. In response to receipt of the analysis results, the digital twin platform intercepts a local model corresponding to the analysis results from the continuously updated three-dimensional model to generate a danger prompt model, and transmits the danger prompt model to the display unit to visually display the impending danger.
According to a preferred embodiment, the data acquisition platform, the digital twin platform and the central management and control platform share a data storage platform. The data storage platform stores original data of each entity of a construction site in advance, and can store feature data collected by the data collection platform, three-dimensional model data established by the digital twin platform and analysis results of the central control platform in the whole construction process.
According to a preferred embodiment, the data acquisition platform comprises at least a first information collection device and a second information collection device, which is acquired in a different way than the first information collection device, and a first processing unit. Preferably, the first information collecting device and the second information collecting device simultaneously collect the characteristic data of the same entity in a construction site. The first processing unit mutually verifies the characteristic data acquired by the first information acquisition device and the characteristic data acquired by the second information acquisition device so as to determine the accuracy of the characteristic data.
According to a preferred embodiment, the central management and control platform is provided with at least a first risk analysis mode and a second risk analysis mode. Preferably, the first risk analysis mode is that the central control platform compares the characteristic data sent by the data acquisition platform with a preset threshold, so as to determine whether an entity corresponding to the characteristic data has a risk. Preferably, the second risk analysis mode is that the central control platform summarizes the ratio of the feature data at different times to the corresponding preset threshold, and determines whether the entity corresponding to the feature data has a risk by analyzing the variation trend of the ratio.
According to a preferred embodiment, the digital twin platform is further configured with a modeling unit and a second processing unit. The second processing unit is at least provided with a first modeling instruction, a second modeling instruction and a third modeling instruction which can switch modeling bases of the modeling unit. In response to the initialization of the digital twin platform, the second processing unit sends the first modeling instruction to the modeling unit, so that the modeling unit acquires the original data of each entity of the construction site from the data storage platform to establish a corresponding three-dimensional model. In response to the establishment of the three-dimensional model, the second processing unit sends the second modeling instruction to the modeling unit, so that the modeling unit continuously acquires the feature data acquired by the data acquisition platform to update the three-dimensional model. In response to the receiving of the analysis result, the second processing unit sends the third modeling instruction to the modeling unit, so that the modeling unit intercepts a local model corresponding to the analysis result from the continuously updated three-dimensional model to generate a danger prompt model.
According to a preferred embodiment, the central management and control platform comprises at least a third processing unit and a risk analysis unit. The third processing unit sends instructions to cause the risk analysis unit to perform an analysis of the first risk analysis mode or the second risk analysis mode. And in the case that the analysis result of the risk analysis unit is that the risk exists, the third processing unit transmits the analysis result to the digital twin platform.
According to a preferred embodiment, the display unit is provided with an interaction module. The user can select a part of the three-dimensional model to observe through the interactive module. In the case of observing the local model, the user can adjust the observation depth of field through the interactive module. Preferably, when the user views the graph and the attribute thereof in the local model area based on the specified depth of field, the picture is clear, when the user reaches the edge of the local model area, the graph in the edge is high-definition, and the definition of the graph outside the edge is reduced, so that the operator is prompted to view the content exceeding the local model area, the operator can plan the viewed local model area again, and the view without a clear target is avoided.
According to a preferred embodiment, the first processing unit is further capable of preprocessing the characteristic data it receives. Preferably, the preprocessing operation refers to removing duplicate data and integrating difference data in the feature data.
The invention also provides a construction risk early warning method based on dynamic simulation. The method at least comprises the following steps:
acquiring original data of each entity on a construction site to establish a corresponding three-dimensional model;
the method comprises the steps that characteristic data of each entity in a construction site are collected in real time through information collecting equipment arranged on the construction site and/or in a remote mode;
updating the three-dimensional model according to the characteristic data, and displaying the established three-dimensional model through a display unit;
and analyzing the characteristic data by using a big data analysis model, handling risks when the analysis result shows that risks exist, and generating a danger prompt model capable of visually displaying the impending dangers through a display unit based on the analysis result.
According to a preferred embodiment, the method further comprises:
setting a first information collection device and a second information collection device with a collection mode different from that of the first information collection device for the same entity in a construction site, and mutually authenticating the characteristic data collected by the first information collection device and the characteristic data collected by the second information collection device to determine the accuracy of the characteristic data.
Drawings
FIG. 1 is a schematic diagram of a simplified module connection relationship of an early warning system according to a preferred embodiment of the present invention;
FIG. 2 is a simplified schematic diagram of the arrangement of a data acquisition platform according to a preferred embodiment of the present invention;
FIG. 3 is a simplified module connection diagram of a digital twin platform according to a preferred embodiment of the present invention;
fig. 4 is a schematic diagram of a simplified module connection relationship of a central management and control platform according to a preferred embodiment of the present invention.
List of reference numerals
100: an early warning system; 101: a risky building; 110: a data acquisition platform; 111: a first processing unit; 112: monitoring the unmanned aerial vehicle; 113: a laser sensor; 120: a digital twinning platform; 121: a second processing unit; 122: a modeling unit; 123: a display unit; 130: a central control platform; 131: a third processing unit; 132: a risk analysis unit; 140: a data storage platform.
Detailed Description
The following detailed description is made with reference to the accompanying drawings. The technical scheme of the invention provides a construction risk early warning system based on dynamic simulation. The early warning system establishes a three-dimensional model corresponding to each entity in a construction site through a digital twin platform, and then collects characteristic data of each entity in the construction site through a data acquisition platform provided with at least two data acquisition modes. The data acquisition platform can mutually verify the characteristic data acquired by different data acquisition modes to determine the accuracy of the characteristic data. And the data acquisition platform transmits the characteristic data to the digital twin platform and the central control platform respectively. And the digital twin platform updates the three-dimensional model according to the characteristic data, so that the dynamic simulation of the construction process is realized. The central control platform analyzes the characteristic data by utilizing the big data analysis model, and transmits the analysis result to the digital twin platform to visually display the impending danger when the analysis result indicates that the risk exists.
Example 1
The embodiment relates to a construction risk early warning system 100 based on dynamic simulation. Preferably, the embodiment can be applied to subway station construction projects. Preferably, the safety risk control platform 100 establishes a complete three-dimensional model according to technical information such as a relevant drawing by establishing a correlation between a peripheral environment of the engineering construction and an engineering structure. In the actual construction process, the data acquisition platform 110 acquires the characteristic data of each entity in the construction site in real time and updates the three-dimensional model, so that the dynamic tracking of the site construction is realized, and the early warning function can be realized according to the risk condition.
Referring to fig. 1, the early warning system 100 preferably includes at least a data acquisition platform 110, a digital twin platform 120, and a central administration platform 130 and a data storage platform 140. And the data acquisition platform 110 is used for acquiring the characteristic data of each entity in the construction site in real time through information collection equipment arranged on the construction site and/or at a remote place, and transmitting the characteristic data to the digital twin platform 120 and the central management and control platform 130 respectively. And the digital twin platform 120 establishes a corresponding three-dimensional model based on the acquired original data of each entity of the construction site, updates the three-dimensional model according to the characteristic data, and displays the established three-dimensional model through the configured display unit 123. And the central management and control platform 130 analyzes the characteristic data by using the big data analysis model, sends risk early warning to a disposal department to dispose the risk when the analysis result is that the risk exists, and transmits the analysis result to the digital twin platform 120. In response to the receipt of the analysis results, the digital twin platform 120 intercepts the partial model corresponding to the analysis results from the continuously updated three-dimensional model to generate a danger prompt model, and transmits the danger prompt model to the display unit 123 for visually displaying the impending danger.
Preferably, the data collection platform 110, the digital twin platform 120, and the central administration platform 130 share a data storage platform 140. The data storage platform 140 stores original data of each entity of the construction site in advance, and can store feature data acquired by the data acquisition platform 110, three-dimensional model data established by the digital twin platform 120, and analysis results of the central control platform 130 in the whole construction process.
Preferably, the data collection platform 110 includes at least a first information collection device and a second information collection device that collects in a different manner than the first information collection device, and a first processing unit 111. Preferably, the first information collecting device and the second information collecting device simultaneously collect characteristic data of the same entity in the construction site. The first processing unit 111 mutually authenticates the feature data acquired by the first information collecting device and the feature data acquired by the second information collecting device to determine the accuracy of the feature data.
Preferably, the first processing unit 111 is also capable of preprocessing the characteristic data it receives. Preferably, the preprocessing operation refers to removing duplicate data and integrating difference data in the feature data.
Preferably, when the subway station is built, the present embodiment monitors the settlement data of the surface building through the data acquisition platform 110, and uses the settlement data of the surface building as the characteristic data thereof for updating the three-dimensional model and risk analysis.
Referring to fig. 2, preferably, the first processing unit 111 of the data collection platform 110 collects the characteristic data of the entities of the construction site through two kinds of information collection devices. Preferably, the first processing unit 111 performs settlement data acquisition on the foundation of the risky building 101 affected by construction when the subway station is built by using the information collecting device. Preferably, the first information gathering device may be a laser sensor 112 disposed around the at-risk building 101. Preferably, the second information gathering device may be a monitoring drone 113 that collects the risky building 101 ground settlement data from the air through image recognition technology.
According to a preferred embodiment, the data collection platform 110 uses the data collected by the laser sensor 112 as real-time settlement data of the foundation of the risky building 101, and the data collection platform 110 uses the settlement data of the foundation of the risky building 101 collected by the monitoring drone 113 as verification data. Preferably, the laser sensors 112 are arranged around the risk building 101, collect settlement data at multiple positions of the foundation of the risk building 101, and establish data connection with the first processing unit 111 in a wired or wireless mode. Preferably, the laser sensor 112 transmits the collected sedimentation data to the first processing unit 111. After verifying the correctness of the settlement data, the first processing unit 111 sends the settlement data to the digital twin platform 120 and the central control platform 130 for updating the three-dimensional model and performing risk early warning.
When underground construction such as subway station construction is performed, soil bodies on the upper layer of an underground construction area, existing buildings and the like are prone to settlement, and when the settlement value is within a safe range, the settlement does not bring danger to each entity (existing buildings, engineering structures and the like) in the construction area. When abnormal settlement occurs, existing buildings, engineering structures, and the like in the construction area are dangerous.
Taking a building as an example, when there is an underground construction area under the building, the building is regarded as a risky building 101. The foundations of the risky building 101 may settle as the construction progresses. When the foundation of the risk building 101 is unevenly settled, that is, the settlement value of a certain part of the foundation exceeds that of other parts of the foundation, the inside of the building structure has a shear stress effect, so that a local structural system generates vertical relative displacement, and the structure is subjected to unexpected stress. Shear failure, commonly occurring as shear cracks in walls, occurs when a building structure is not resistant to stress. Wall cracks caused by uneven settlement, structural damage cracks, harm caused by the fact that the light person affects the attractiveness of a building, and the heavy person is affected by water seepage and wind filling of the wall, the use function of the building is affected, and psychological uneasiness of house users is caused; the collapse of the wall and the house can be seriously caused, and the accidents of hurting people and property loss can be caused. In addition, even if the settlement of the foundation of the risk building 101 is uniform, if the settlement value exceeds the safety range, the road surface connected to the foundation is easily cracked to form a depression, and if the settlement value is heavy, the structure of the underground construction space is destroyed to cause accidents such as collapse and ground subsidence.
Because the collapse, the generation of the ground subsidence or the building crack are all energy accumulation processes, the embodiment predicts whether the foundation will have uneven settlement which causes the internal stress of the building to exceed the bearing capacity of the building structure through the collected settlement data of the risk building 101 foundation through analysis, and predicts whether the settlement of the risk building 101 foundation will cause the dangers of collapse, ground subsidence and the like.
Preferably, the monitoring drone 113 performs periodic or aperiodic data collection of the foundations of the at-risk building 101. Preferably, the monitoring drone 113 flies in the risk building 101 to collect the settlement data of the risk building 101 foundation within a time period, and then sends the collected data as the verification data to the first processing unit 111.
The first processing unit 111 screens settlement data in the same time period from the settlement data acquired by the laser sensor 112 based on the acquisition time of the verification data, and compares the two sets of settlement data, thereby judging the correctness of the settlement data acquired by the laser sensor 112. Preferably, when the determination result that the settlement data collected by the laser sensor 112 is correct by the first processing unit 111, the first processing unit 111 sends the settlement data to the digital twin platform 120 and the central management and control platform 130 to update the three-dimensional model and perform risk early warning.
Preferably, when the determination result that the settlement data collected by the laser sensor 112 is correct by the first processing unit 111, the first processing unit 111 sends the settlement data collected by the laser sensor 112 to the digital twin platform 120 and the central management and control platform 130 to perform the update of the three-dimensional model and the risk early warning.
Preferably, when the determination result that the first processing unit 111 collects the settlement data by the laser sensor 112 is an error, the first processing unit 111 stops transmitting the settlement data collected by the laser sensor 112 to the digital twin platform 120 and the central management and control platform 130, and dispatches a serviceman to troubleshoot the laser sensor 112.
Preferably, when the determination result that the first processing unit 111 acquires the settlement data by the laser sensor 112 is an error, the first processing unit 111 may further select to send the settlement data of the foundation acquired by the unmanned aerial vehicle 113 flying in the risk building 101 to the digital twin platform 120 and the central control platform 130 for updating the three-dimensional model and performing risk early warning when a maintenance worker is dispatched to troubleshoot the laser sensor 112.
Preferably, when the maintenance personnel troubleshoot the laser sensor 112, the monitoring drone 113 keeps collecting the settlement data of the foundation of the risky building 101, and sends the collected settlement data to the first processing unit 111.
Preferably, the monitoring unmanned aerial vehicle 113 must be checked before polling at each time, so the probability of failure of the monitoring unmanned aerial vehicle 113 is lower compared with the probability of failure of the monitoring unmanned aerial vehicle 112, and the maintenance of the monitoring unmanned aerial vehicle 113 is more convenient compared with the maintenance of the laser sensor 112. In general, the maintenance of the monitoring unmanned aerial vehicle 113 only needs to be carried out after taking off and landing, and the maintenance personnel can only carry out maintenance work at the taking off and landing sites; and the overhaul of the laser sensor 112 requires a service person to enter the construction site to reach the installation position of the laser sensor 112 to inspect and maintain it. Due to the complex construction site environment, certain risks must exist when personnel enter the construction site. Preferably, two or more data acquisition modes are set to avoid data dependency of the early warning system 100, so as to avoid the early warning system 100 from being disabled due to data errors of the sensors.
Preferably, in the embodiment, the laser sensor 112 is used for acquiring real-time settlement data of the foundation of the risky building 101, and the monitoring unmanned aerial vehicle 113 is used for periodically or non-periodically acquiring verification data, so that the frequency of inspection personnel entering a construction site can be reduced under the conditions of increasing data correctness and getting rid of data dependence, the risk of safety accidents is reduced, and the obstruction of the inspection personnel entering the construction site to a normal construction process is also reduced.
Referring to fig. 3, preferably, the digital twin platform 120 is further configured with a second processing unit 121, a modeling unit 122, and a display unit 123. Preferably, the second processing unit 121 is provided with at least a first modeling instruction, a second modeling instruction, and a third modeling instruction that can switch the modeling basis of the modeling unit 122.
In response to the initialization of the digital twin platform 120, the second processing unit 121 sends a first modeling instruction to the modeling unit 122, so that the modeling unit 122 acquires the original data of each entity of the construction site from the data storage platform 140 to establish a corresponding three-dimensional model. In response to the establishment of the three-dimensional model, the second processing unit 121 sends a second modeling instruction to the modeling unit 122, so that the modeling unit 122 continuously acquires the feature data acquired by the data acquisition platform 110 to update the three-dimensional model. In response to the reception of the analysis result, the second processing unit 121 sends a third modeling instruction to the modeling unit 122, so that the modeling unit 122 intercepts the partial model corresponding to the analysis result from the continuously updated three-dimensional model to generate the hazard prompt model.
Preferably, when the analysis result shows that there is a risk, the modeling unit 122 marks a part corresponding to the risk entity from the continuously updated three-dimensional model and with information such as text. For example, when the settlement data of the foundation of the risky building 101 is determined to be risky, the modeling unit 122 intercepts a local model containing the risky building 101 from a three-dimensional model of the whole project and adds corresponding warning information (such as settlement abnormity, settlement overrun and the like) to generate a danger prompting model.
Preferably, after the building of the three-dimensional model is completed by the building unit 122, the built three-dimensional model is displayed by the display unit 123. Preferably, after the modeling unit 122 completes updating the three-dimensional model, the display unit 123 displays the updated three-dimensional model. Preferably, after the modeling unit 122 generates the danger prompt model, the display unit 123 interrupts the display of the three-dimensional model, and switches the display content to the danger prompt model.
Preferably, the display unit 123 is configured with an interactive module. The user can select a part of the three-dimensional model to observe through the interactive module. In the case of observing the local model, the user can adjust the depth of field of observation through the interactive module. Preferably, when the user views the graph and the attribute thereof in the local model area based on the designated depth of field, the picture is clear, when the user reaches the edge of the local model area, the graph in the edge is high-definition, and the definition of the graph outside the edge is reduced, so that the user is prompted to view the content beyond the local model area, the operator can replan the viewed local model area, and the view without a clear target is avoided.
Preferably, when the display unit 123 interrupts the display of the three-dimensional model and switches the display content to the danger prompting model, the user closes the danger prompting model through the interaction module, and the display unit 123 resumes the display of the three-dimensional model.
Preferably, when observing the details of the three-dimensional model, the user can adjust the observation depth of field through the interaction module, and the display unit 123 selects a local model corresponding to the observation target of the user from the three-dimensional model according to the depth of field adjusted by the user. The internal area of the local model has complete model parameters, so that the graph is complete and clear when a user views the internal area of the local model. Preferably, in order to provide a good sense for the user, when the display unit 123 selects the local model, the area outside the local model is blurred, and the area outside the local model is set at the edge of the local model in a two-dimensional graph manner, so that the user is reminded that the user has reached the edge of the local model to reselect the local model to be observed without encircling the continuity of the observation of the user, that is, under the condition that the styles of the images observed by the user are uniform. The depth of field range in this embodiment refers to a display range in which a clear image can be formed on a display when a view with a limited distance is obtained.
Referring to fig. 4, preferably, the central management and control platform 130 includes at least a third processing unit 131 and a risk analysis unit 132. The third processing unit 131 sends instructions to cause the risk analysis unit 132 to perform an analysis of the first risk analysis mode or the second risk analysis mode. In case that the analysis result of the risk analysis unit 132 is that there is a risk, the third processing unit 131 transmits the analysis result to the digital twin platform 120.
Preferably, the central management and control platform 130 is provided with at least a first risk analysis mode and a second risk analysis mode. Preferably, the first risk analysis mode is that the central control platform 130 compares the feature data sent by the data collection platform 110 with a preset threshold, so as to determine whether an entity corresponding to the feature data has a risk. Preferably, the second risk analysis mode is that the central control platform 130 summarizes the ratio of the feature data at different times to the corresponding preset threshold, and determines whether the entity corresponding to the feature data has a risk by analyzing the variation trend of the ratio.
Preferably, the risk analysis unit 132 performs risk analysis through a big data analysis model. Preferably, the risk analysis unit 132 obtains the historical engineering data package (including the historical engineering structure data and the historical environmental data and the historical risk data corresponding thereto) through the data storage platform 140. The risk analysis unit 132 builds a big data analysis model using the historical engineering data package. Preferably, the risk analysis unit 132 obtains the original data of each entity of the construction site through the data storage platform 140, and inputs the original data into the big data analysis model to obtain the preset thresholds of each entity of the current construction site at different construction stages, where the preset thresholds at different construction stages are different due to differences in soil composition, soil depth, and the like.
Preferably, the risk analysis unit 132 obtains the raw data (geometric parameters of the risk building 101, building materials, soil layer parameters related to the risk building 101, etc.) of the risk building 101 through the data storage platform 140, and utilizes the big data analysis model to obtain preset threshold values of settlement data of the foundation of the risk building 101 at different stages of construction.
Preferably, the third processing unit 131 sends instructions to cause the risk analysis unit 132 to perform the risk analysis of the first risk analysis mode in a periodic or non-periodic manner on the basis of performing the risk analysis in the first risk analysis mode. Preferably, the first risk analysis mode is to make the risk analysis unit 132 perform point-to-point one-dimensional comparison, and only compare the settlement data at a single time with a preset threshold value thereof, so as to determine whether a risk is generated, and the risk analysis unit occupies few logical operation resources and can perform real-time analysis. The second risk analysis mode is to cause the risk analysis unit 132 to perform line-segment two-dimensional analysis. In the second risk analysis mode, the risk analysis unit 132 needs to perform summary analysis on the settlement data within a period of time and the corresponding preset threshold, and not only occupies more logical operation resources, but also can be implemented only when a certain sample (the settlement data and the preset threshold) is possessed. The risk analysis unit 132 performs the risk analysis in the first risk analysis mode periodically or non-periodically based on the risk analysis in the first risk analysis mode, and can enhance the accuracy of the analysis structure based on the real-time analysis.
Preferably, the risk analysis unit 132 performs a continuous risk analysis in a first risk analysis mode. Preferably, when the risk analysis unit 132 determines that there is a risk in the first risk analysis mode and determines that there is no risk in the latter analysis mode, the risk analysis unit 132 switches to the second risk analysis mode. Preferably, the risk analysis unit 132 generates the analysis result with risk only once in the first risk analysis mode, and cannot determine whether the result is generated due to an accidental factor (such as a construction vehicle passing by a dangerous building so that the settlement data of the foundation is suddenly increased, etc.), at this time, the risk analysis unit 132 actively switches to the second risk analysis mode for analysis, thereby avoiding misjudgment.
When the risk analysis unit 132 has a risk in the second risk analysis mode, the central management and control platform 130 sends a risk early warning to the treatment department to treat the risk, and transmits the analysis result to the digital twin platform 120.
Preferably, when the risk analysis unit 132 obtains the analysis result twice in the first risk analysis mode as the risk, the central management and control platform 130 sends a risk early warning to the treatment department to treat the risk, and transmits the analysis result to the digital twin platform 120. Preferably, when there is a risk in the analysis result obtained by the risk analysis unit 132 twice in the first risk analysis mode, it may be determined that the variation trend of the sedimentation data exceeds the preset threshold, and the risk analysis unit 132 does not need to perform the analysis in the second risk analysis mode, so as to save the early warning response time.
Preferably, the analysis result of the risk analysis unit 132 in the second risk analysis mode has a higher priority than the analysis result of the risk analysis unit 132 in the first risk analysis mode. When the analysis result of the risk analysis unit 132 in the first risk analysis mode is that no risk exists, but the analysis result of the risk analysis unit 132 in the second risk analysis mode is that a risk exists, the central management and control platform 130 sends a risk early warning to a treatment department to treat the risk, and transmits the analysis result to the digital twin platform 120. In other words, even if the feature data at each time does not exceed the preset threshold value for a period of time, when the variation tendency of the feature data and the corresponding preset threshold value ratio within the period of time gradually increases, the analysis result of the risk analysis unit 132 is that there is a risk.
Preferably, when the monitoring unmanned aerial vehicle 113 performs routing inspection, the unmanned aerial vehicle operator may perform risk analysis in the second risk analysis mode on the characteristic data of the abnormal part observed by the operator according to the abnormal requirement central control platform 130 subjectively observed from the picture transmitted by the monitoring unmanned aerial vehicle 113.
Preferably, when a worker in a construction site subjectively feels an abnormality, the sensed abnormality may be sent to the central control platform 130 in a form of text description through a device such as a portable intelligent terminal, and the central control platform 130 is requested to analyze the abnormality.
Preferably, the central control platform 130 acquires the abnormal occurrence position and the occurrence time from the text description sent by the staff, then the central control platform 130 acquires the feature data of the abnormal occurrence position in a period of time before the abnormal occurrence time from the data storage platform 140, and the central control platform 130 performs risk analysis on the feature data in the second risk analysis mode through the risk analysis unit 132, so as to determine whether the abnormality brings risks, and further improve the early warning capability of the early warning system.
Preferably, the staff or the unmanned aerial vehicle operator in the construction site may require the central control platform 130 to analyze the risk data at the position where the abnormality occurs based on the subjective feeling of the staff or the unmanned aerial vehicle operator to determine whether the abnormality brings a risk. Preferably, the anomalies subjectively sensed by the drone operator are mainly produced by observing the pictures transmitted by the monitoring drone 113, and are mainly visually detectable anomalies such as the inclination of the building, the presence of water currents, etc. Preferably, the anomalies subjectively perceived by the workers in the construction site include, besides the anomalies that can be found visually, also anomalies perceived by other perceptions of the body, such as vibrations, wind, humidity and even chest distress, which may be caused by a lack of circulation of air.
Preferably, when the central control platform 130 does not analyze that there is a risk, a worker or an unmanned aerial vehicle operator in a construction site requests the central control platform 130 to analyze feature data of an abnormality occurrence location based on an abnormality subjectively sensed by the worker or the unmanned aerial vehicle operator, and sends the abnormality sensed by the worker or the unmanned aerial vehicle operator to the central control platform 130 in a text mode or the like. Preferably, for the risk analysis requirements of the workers or the operators of the unmanned aerial vehicles on the construction site, the central control platform 130 analyzes the feature data of the abnormal occurrence position in a period before the abnormal occurrence in a second risk analysis mode so as to determine whether the abnormal occurrence brings risks, and further reduce the missing judgment of the early warning system.
The accumulation and release of the formation pressure are slow and continuous processes in the accidents such as sedimentation abnormity, tunnel collapse and the like caused by the change of the formation pressure. Therefore, compared with the threshold comparison analysis in the second risk analysis mode at a single time, the second risk analysis mode, which performs risk analysis according to the variation trend of the characteristic data and the corresponding preset threshold ratio within a period of time, has higher reliability of the analysis result, and can eliminate the interference of abnormal data, for example, when the ground of the risky building 101 is monitored for settlement, the settlement data of the ground of the risky building 101 at a certain time exceeds the preset threshold due to accidental factors such as vehicle passing, the analysis result of the risk analysis unit 132 in the first risk analysis mode is a risk, and if the second risk analysis mode is not switched, the central control platform 130 outputs the analysis result with the risk, thereby causing misjudgment, whereas the analysis unit 132 provided by the analysis unit 132 in this embodiment may be switched to the second risk analysis mode, and the interference of the abnormal data is eliminated by analyzing the variation trend of the settlement data of the ground of the risky building 101 and the corresponding preset threshold ratio trend within a period of time, thereby avoiding misjudgment.
For example, risk analysis unit 132 performs 4 analyses over a period of time. In the 4 analyses, the unit values of the settlement data of the foundation of the risk building 101 are respectively as follows: 1. 3, 1, 7; the unit values of the preset threshold corresponding to the settlement data of the foundation of the risky building 101 are respectively as follows: 5. 10, 2, 8; although the settlement data of the foundation of the risky building 101 does not exceed the corresponding preset threshold value every time, the ratio of the settlement data of the foundation of the risky building 101 to the corresponding preset threshold value is continuously increased from 1/5 to 7/8, and therefore, the analysis result of the analysis unit 132 is risky.
Example 2
This embodiment is a further improvement of embodiment 1, and repeated contents are not described again.
The embodiment also provides a construction risk early warning method based on dynamic simulation. The early warning method at least comprises the following steps:
acquiring original data of each entity on a construction site to establish a corresponding three-dimensional model;
the method comprises the steps that characteristic data of each entity in a construction site are collected in real time through information collecting equipment arranged on the construction site and/or in a remote mode;
updating the three-dimensional model according to the characteristic data, and displaying the established three-dimensional model through the display unit 123;
the big data analysis model is used for analyzing the characteristic data, when the analysis result indicates that a risk exists, the risk is disposed, and a danger prompt model capable of visually displaying the impending danger through the display unit 123 is generated based on the analysis result.
Preferably, the early warning method further comprises: the method comprises the steps that a first information collecting device and a second information collecting device different in collecting mode from the first information collecting device are arranged on the same entity in a construction site, and characteristic data collected by the first information collecting device and characteristic data collected by the second information collecting device are mutually verified to determine accuracy of the characteristic data.
Preferably, the early warning method stores the collected characteristic data, the established three-dimensional model data and the analysis result in the whole construction process through the original data of each entity of the construction site, which is stored in advance by the data storage platform 140.
Preferably, the early warning method is at least provided with a first risk analysis mode and a second risk analysis mode. Preferably, the first risk analysis mode is to compare the characteristic data with a preset threshold, so as to determine whether an entity corresponding to the characteristic data has a risk; the second risk analysis mode is to collect the ratio of the feature data at different times to the corresponding preset threshold value, and judge whether the entity corresponding to the feature data has risk by analyzing the variation trend of the ratio.
Preferably, the early warning method is provided with a first modeling instruction, a second modeling instruction and a third modeling instruction which can switch modeling bases. Preferably, the first modeling instruction may cause the modeling unit 122 to obtain raw data of each entity of the construction site from the data storage platform 140 to build a corresponding three-dimensional model. Preferably, the second modeling instructions may cause the modeling unit 122 to continuously acquire feature data acquired by the information collecting apparatus in real time to update the three-dimensional model. Preferably, the third modeling instruction may cause the modeling unit 122 to intercept a partial model corresponding to the analysis result from the continuously updated three-dimensional model to generate the hazard prompt model.
Preferably, the display unit 123 used in the warning method is configured with an interactive module. Preferably, the user can select a portion of the three-dimensional model to view through the interactive module. In the case of observing the local model, the user can adjust the depth of field of observation through the interactive module. Preferably, when the user views the graph and the attribute thereof in the local model area based on the specified depth of field, the picture is clear, when the user reaches the edge of the local model area, the graph in the edge is high-definition, and the definition of the graph outside the edge is reduced, so that the operator is prompted to view the content exceeding the local model area, the operator can replan the viewed local model area, and the view without a clear target is avoided.
Preferably, the early warning method can also preprocess the received characteristic data. Preferably, the preprocessing operation refers to removing duplicate data and integrating difference data in the feature data.
Preferably, the early warning method can avoid data dependence of the early warning method by setting two or more data acquisition modes, so that early warning failure caused by data errors of the sensor in the early warning method is avoided.
It should be noted that the above-mentioned embodiments are exemplary, and that those skilled in the art, having benefit of the present disclosure, may devise various arrangements that are within the scope of the present disclosure and that fall within the scope of the invention. It should be understood by those skilled in the art that the present specification and figures are illustrative only and are not limiting upon the claims. The scope of the invention is defined by the claims and their equivalents. Throughout this document, the features referred to as "preferably" are only an optional feature and should not be understood as necessarily requiring that such applicant reserves the right to disclaim or delete the associated preferred feature at any time. The present description contains several inventive concepts, such as "preferably", "according to a preferred embodiment" or "optionally", each indicating that the respective paragraph discloses a separate concept, the applicant reserves the right to submit divisional applications according to each inventive concept.
Claims (10)
1. A construction risk early warning system based on dynamic simulation is characterized by at least comprising a data acquisition platform (110), a digital twin platform (120) and a central control platform (130);
the data acquisition platform (110) is used for acquiring characteristic data of each entity in a construction site in real time through information collection equipment arranged on the construction site and/or in a remote manner and transmitting the characteristic data to the digital twin platform (120) and the central management and control platform (130) respectively;
the digital twin platform (120) establishes a corresponding three-dimensional model based on the original data of each entity of the collected construction site, updates the three-dimensional model according to the characteristic data, and displays the established three-dimensional model through a configured display unit (123);
the central control platform (130) analyzes the characteristic data by utilizing a big data analysis model, sends risk early warning to a disposal department to dispose risks when the analysis result shows that the risks exist, and transmits the analysis result to the digital twin platform (120);
in response to receipt of the analysis results, the digital twin platform (120) intercepts a local model corresponding to the analysis results from the continuously updated three-dimensional model to generate a hazard prompt model, and transmits the hazard prompt model to the display unit (123) for visual presentation of the impending hazard.
2. The construction risk early warning system based on dynamic simulation as claimed in claim 1,
the data acquisition platform (110), the digital twin platform (120), and the central governing platform (130) share a data storage platform (140),
the data storage platform (140) stores original data of each entity of a construction site in advance, and can store feature data collected by the data collection platform (110), three-dimensional model data established by the digital twin platform (120) and analysis results of the central control platform (130) in the whole construction process.
3. The construction risk early warning system based on dynamic simulation as claimed in claim 1 or 2, wherein the data collection platform (110) comprises at least a first information collection device and a second information collection device which is collected in a different manner from the first information collection device, and a first processing unit (111); wherein the content of the first and second substances,
the first information collecting device and the second information collecting device simultaneously collect the characteristic data of the same entity in a construction site;
the first processing unit (111) mutually authenticates the feature data acquired by the first information collecting device and the feature data acquired by the second information collecting device to determine the accuracy of the feature data.
4. The construction risk early warning system based on dynamic simulation according to any one of claims 1 to 3, wherein the central management and control platform (130) is provided with at least a first risk analysis mode and a second risk analysis mode, wherein,
the first risk analysis mode is that the central control platform (130) compares the characteristic data sent by the data acquisition platform (110) with a preset threshold value so as to judge whether an entity corresponding to the characteristic data has a risk;
the second risk analysis mode refers to the central control platform (130) summarizing the ratio of the characteristic data at different moments to a corresponding preset threshold value, and judging whether an entity corresponding to the characteristic data has a risk or not by analyzing the variation trend of the ratio.
5. The construction risk early warning system based on dynamic simulation as claimed in any one of claims 1 to 4, wherein the digital twin platform (120) is further configured with a modeling unit (122) and a second processing unit (121);
the second processing unit (121) is at least provided with a first modeling instruction, a second modeling instruction and a third modeling instruction which can switch modeling bases of the modeling unit (122);
in response to the initialization of the digital twin platform (120), the second processing unit (121) sends the first modeling instruction to the modeling unit (122), so that the modeling unit (122) acquires the original data of each entity on the construction site from the data storage platform (140) to establish a corresponding three-dimensional model;
in response to the establishment of the three-dimensional model, the second processing unit (121) sends the second modeling instruction to the modeling unit (122), so that the modeling unit (122) continuously acquires the feature data acquired by the data acquisition platform (110) to update the three-dimensional model;
in response to receipt of the analysis result, the second processing unit (121) sends the third modeling instruction to the modeling unit (122), so that the modeling unit (122) intercepts a partial model corresponding to the analysis result from the continuously updated three-dimensional model to generate a hazard prompt model.
6. The construction risk early warning system based on dynamic simulation as claimed in any one of claims 1 to 5, wherein the central management and control platform (130) comprises at least a third processing unit (131) and a risk analysis unit (132);
-the third processing unit (131) sends instructions to cause the risk analysis unit (132) to perform an analysis of the first risk analysis mode or the second risk analysis mode;
in case the analysis result of the risk analysis unit (132) is a risk, the third processing unit (131) transmits the analysis result to the digital twin platform (120).
7. The construction risk early warning system based on dynamic simulation as claimed in any one of claims 1 to 6, wherein the display unit (123) is configured with an interactive module;
the user can select a part of the three-dimensional model to observe through the interactive module;
under the condition of observing the local model, a user can adjust the observation depth of field through the interaction module, wherein when the user checks the graph and the attribute thereof in the local model area based on the specified depth of field, the picture is clear, when the user reaches the edge of the local model area, the graph in the edge is high-definition, and the definition of the graph outside the edge is reduced, so that an operator is prompted to check that the content exceeds the local model area, the operator can replan checked local model area, and the check without a clear target is avoided.
8. The construction risk early warning system based on dynamic simulation according to any one of claims 1 to 7, characterized in that the first processing unit (111) is further capable of preprocessing the received characteristic data, wherein the preprocessing operation refers to removing repeated data and integrating difference data in the characteristic data.
9. A construction risk early warning method based on dynamic simulation is characterized by at least comprising the following steps:
acquiring original data of each entity on a construction site to establish a corresponding three-dimensional model;
the method comprises the steps that characteristic data of each entity in a construction site are collected in real time through information collecting equipment arranged on the construction site and/or in a remote mode;
updating the three-dimensional model according to the characteristic data, and displaying the established three-dimensional model through a display unit (123);
and analyzing the characteristic data by using a big data analysis model, handling risks when the analysis result shows that risks exist, and generating a danger prompt model capable of visually displaying the impending dangers through a display unit (123) based on the analysis result.
10. The construction risk early warning method based on dynamic simulation as claimed in any one of claims 1 to 8, wherein the method further comprises:
setting a first information collection device and a second information collection device with a collection mode different from that of the first information collection device for the same entity in a construction site, and mutually authenticating the characteristic data collected by the first information collection device and the characteristic data collected by the second information collection device to determine the accuracy of the characteristic data.
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