Bridge cable crane overall installation method

Abstract

The invention discloses a bridge cable crane overall installation method which comprises the following steps: acquiring environmental data, and acquiring construction data according to the environmental data; a bridge cable hoisting model is established by combining a BIM building information model technology with a finite element model technology, and a lighting system is added; carrying out installation construction based on the bridge cable hoisting model; environment data and installation data are collected in real time, the construction risk early warning level is obtained, and the bridge cable hoisting model is adjusted in real time; after the bridge is installed, installation data are collected, whether bridge installation is qualified or not is evaluated, installation is adjusted, a bridge flood-fighting shake inversion model, a bridge anti-seismic shake inversion model and a bridge anti-compression shake inversion model are established, and the flood-fighting performance, the anti-seismic performance and the anti-compression performance of the bridge are evaluated; according to the method, the BIM building information model technology and the finite element model technology are fused, field monitoring data can be timely and accurately collected, the bridge construction dynamic state is grasped through online analysis of the data, and the bridge construction safety is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of bridge installation, and in particular to an overall installation method of a bridge cable hanger. Background Art

[0002] In recent years, with the development of China's construction industry, the development of bridge construction has received great attention from the construction industry. The bridge cable lifting method is widely favored by engineers due to its unique advantages. At the same time, with the trend of building informatization, traditional bridge installation is no longer suitable for current bridge construction.

[0003] At present, the Chinese patent with application number 202023081662.6 provides an intelligent installation system for prefabricated bridges, which adjusts the position of hoisting components to realize the intelligent installation of bridges. The intelligent total station is controlled by a mobile terminal to obtain the position information of the target hoisting components, and then the hoisting object adjustment equipment is controlled by the control platform. Automated operation can be realized to realize the automated assembly of bridges, which not only solves the safety hazard problem, but also effectively saves costs and improves the intelligence and automation level of prefabricated bridge installation. However, there is no sophisticated night lighting system, which makes night operation difficult and causes installation errors. There is no accurate evaluation of the bridge performance after installation, so the quality of bridge installation cannot be guaranteed, which is not conducive to the subsequent maintenance of the bridge. Summary of the invention

[0004] The technical problem solved by the present invention is that the prior art does not have a sophisticated nighttime lighting system, which leads to difficulties in nighttime operation and installation errors, and does not accurately evaluate the performance of the bridge after installation, so that the quality of bridge installation cannot be guaranteed, which is not conducive to subsequent maintenance of the bridge.

[0005] In order to solve the above technical problems, the present invention provides a method for installing a bridge cable hanger, comprising the following steps: Step S1, collecting environmental data, and obtaining construction data according to the environmental data; Step S2, based on the environmental data, construction data and construction process files, a bridge cable hoisting model is established by integrating the BIM building information modeling technology with the finite element modeling technology, a lighting system is added based on the bridge cable hoisting model, and corresponding permissions are set for each construction party for the bridge cable hoisting model; Step S3, performing installation construction based on the bridge cable hoisting model, and performing nighttime installation construction using a lighting system; Step S4, collecting environmental data and installation data in real time, obtaining the construction risk warning level according to the environmental data, bridge stress data and bridge deformation data, and adjusting the bridge cable hoisting model in real time; Step S5, after the installation of the bridge is completed, the installation data is collected, and whether the bridge installation is qualified is evaluated according to the installation data and the installation is adjusted, and an inversion model of bridge flood resistance sway, an inversion model of bridge seismic resistance sway and an inversion model of bridge compression resistance sway are established to evaluate the flood resistance performance, seismic resistance performance and compression resistance performance of the bridge respectively; The environmental data includes weather data, water flow data and on-site geographic data; The construction data includes component installation location, component size, component material and component connection method; The installation data includes component installation position, component size, component material, component connection method and component connection gap.

[0006] As a preferred solution of the overall installation method of a bridge cable hanger according to the present invention, wherein: The step S2 specifically includes the following steps: Step S201, establishing a bridge cable hoisting BIM model using BIM building information modeling technology based on environmental data, construction data and construction process files; Step S202, meshing the bridge cable hoisting BIM model according to the construction units, numbering each divided construction unit, and obtaining the bridge cable hoisting model; Step S203, obtaining the installation position of the lighting equipment according to the bridge cable hoisting model, constructing the lighting system, and ensuring that the lighting conditions meet the requirements for nighttime construction; Step S204: granting corresponding bridge cable hoisting model operation permissions to each construction party according to the construction responsibilities of each construction party, wherein the operation permissions include viewing permission, modifying permission, adding permission and deleting permission.

[0007] As a preferred solution of the overall installation method of a bridge cable hanger according to the present invention, wherein: The step S3 specifically comprises the following steps: Step S301, obtaining lighting equipment information and lighting equipment installation locations based on the lighting system, issuing lighting equipment installation instructions, and installing light sensors; Step S302, the light sensor acquires light information in real time, and adjusts the lighting strategy of the lighting device in real time according to the light information; Step S303, obtaining installation steps according to the bridge cable hoisting model, issuing construction instructions according to the installation steps, and obtaining real-time installation video; Step S304, performing image processing on the real-time installation video to obtain installation information of the prefabricated component, wherein the installation information includes the installation unit number, the prefabricated component number, the installation position coordinates, the installation angle and the installation structure; Step S305, comparing the installation information with the corresponding installation simulation steps in the bridge cable hoisting model, obtaining the installation error, and adjusting the construction instructions in real time according to the installation error; Step S306: When the construction unit is installed, the structure of the construction unit is verified according to the bridge cable hoisting model, and the construction unit is adjusted according to the structure verification result.

[0008] As a preferred solution of the overall installation method of a bridge cable hanger according to the present invention, wherein: The step S4 specifically comprises the following steps: Step S401, using sensors to obtain environmental data, bridge stress data, and bridge deformation data of the construction site in real time; Step S402: When the sensor measurement value is greater than or equal to the expected threshold, it is defined as an abnormal value, and the construction risk warning level is evaluated according to the abnormal value, and the warning information is sent to the corresponding construction parties according to the construction risk warning level and the authority of each construction party; Step S403: the construction party adjusts the bridge cable hoisting model according to the early warning information, wherein the adjustment of the bridge cable hoisting model includes adjusting the construction steps, adjusting the construction time and adjusting the construction position.

[0009] As a preferred solution of the overall installation method of a bridge cable hanger according to the present invention, wherein: The step S5 specifically comprises the following steps: Step S501, after the bridge is installed, bridge data is collected; Step S502, using the bridge data to verify the structure of the bridge according to the bridge cable hoisting model, and obtaining the unit qualification rate of each construction unit; Step S503: if the unit qualification rate of the construction unit is less than or equal to the expected threshold, the construction unit is defined as an unqualified construction unit, and construction problems are obtained according to the bridge data of the construction unit, and the bridge is installed and adjusted; Step S504: if the unit qualification rates of the construction units are all greater than the expected threshold, then establish a flood-resistant sway inversion model, a compression-resistant sway inversion model and a seismic-resistant sway inversion model, and set the corresponding bridge load input compression-resistant sway inversion model, flood level input flood-resistant sway inversion model and seismic-resistant sway inversion model, and evaluate the compressive performance, flood-resistant performance and seismic performance of the bridge according to the model inversion results; Step S505, determine whether the compressive strength, flood resistance and seismic resistance of the bridge meet the construction standards. If not, obtain the construction problems according to the inversion process of the bridge compressive sway inversion model, the bridge flood resistance sway inversion model and the bridge seismic sway inversion model, and install and adjust the bridge according to the construction problems.

[0010] As a preferred solution of the overall installation method of a bridge cable hanger according to the present invention, wherein: The step S302 specifically includes the following steps: Step S3021, the light sensor acquires natural light information, where the natural light information includes natural light intensity; Step S3022, obtaining a natural lighting level according to the natural lighting information, and obtaining a corresponding lighting strategy according to the natural lighting level, wherein the lighting strategy includes a lighting device start position and a lighting device lighting intensity; Step S3023: Turn on corresponding lighting equipment according to the lighting strategy.

[0011] As a preferred solution of the overall installation method of a bridge cable hanger according to the present invention, wherein: The step S306 specifically includes the following steps: Step S3061, collecting construction site images; Step S3062, simplifying the construction site image by image processing, superimposing and comparing the simplified construction site image with the corresponding construction unit model, obtaining the unit structure qualification rate of the construction unit, and obtaining the unit stability coefficient of the construction unit by weld flaw detection; Step S3063, obtain the unit completion rate of the construction unit according to the unit structure qualification rate and the unit stability coefficient of the construction unit. If the unit completion rate is greater than or equal to the expected threshold, the installation of this construction unit is completed. If the unit completion rate is less than the expected threshold, obtain the construction problem according to the superposition comparison result and the weld flaw detection result, and adjust the installation of the construction unit according to the construction problem.

[0012] As a preferred solution of the overall installation method of a bridge cable hanger according to the present invention, wherein: The step S504 specifically includes the following steps: Step S5041, collecting environmental data and bridge load-bearing data after construction, inputting them into the bridge cable hoisting model after construction to perform environmental simulation, and obtaining the specific flood level, specific seismic peak acceleration and specific load bridge stress and shaking amplitude; Step S5042, using a specific flood level, a specific earthquake peak acceleration, a specific load and a bridge shaking amplitude as neural network learning training samples, and dividing the neural network learning training samples into a training set, a validation set and a test set according to a certain ratio; Step S5043, establishing a preliminary bridge flood-resistant sway inversion model, a preliminary bridge earthquake-resistant sway inversion model, and a preliminary bridge compression-resistant sway inversion model by using convolutional neural network technology; Step S5044, using the training set to train the preliminary bridge flood-resistant sway inversion model, the preliminary earthquake-resistant sway inversion model and the preliminary bridge compression-resistant sway inversion model, to obtain the bridge flood-resistant sway inversion model, the bridge earthquake-resistant sway inversion model and the bridge compression-resistant sway inversion model; Step S5045, using the verification set to verify the bridge flood resistance shaking inversion model, the bridge seismic resistance shaking inversion model and the bridge compression shaking inversion model respectively, using the test set to test the bridge flood resistance shaking inversion model, the bridge seismic resistance shaking inversion model and the bridge compression shaking inversion model respectively, and optimizing the bridge flood resistance shaking inversion model, the bridge seismic resistance shaking inversion model and the bridge compression shaking inversion model to the best model respectively.

[0013] As a preferred solution of the overall installation method of a bridge cable hanger according to the present invention, wherein: The evaluation of the flood resistance performance of bridges based on the bridge flood resistance sway inversion model includes: Divide the flood resistance level of each bridge construction unit according to the bridge flood resistance sway inversion model to obtain the first weight distribution result; According to the bridge flood resistance sway inversion model, the stress condition and sway amplitude of each construction unit of the bridge in the actual environment are obtained to obtain the second weight distribution result; Based on the clustering algorithm, the bridge cable hoisting model is voxelized to obtain the grade analysis results of each construction unit of the bridge and obtain the third weight distribution result; The flood resistance performance of the bridge after the construction is completed is obtained according to the first weight distribution result, the second weight distribution result and the third weight distribution result.

[0014] An electronic device includes a processor and a memory, wherein the memory stores a computer program that can be called by the processor; the processor executes the above-mentioned overall installation method of a bridge cable hanger by calling the computer program stored in the memory.

[0015] The beneficial effects of the present invention are as follows: by integrating BIM building information modeling technology and finite element modeling technology and establishing a bridge cable lifting model, on-site monitoring data can be collected in a timely and accurate manner, and through online analysis of the data, the dynamics of bridge construction can be grasped to ensure bridge construction safety, improve construction efficiency, reduce and avoid bridge construction accidents, and realize intelligent installation of bridges, saving a lot of manpower and material resources.

[0016] A lighting system was established based on the bridge cable lifting model. The lighting system was used to monitor the natural lighting environment in real time and adjust the lighting strategy, accurately solving the problem of difficult construction at night.

[0017] By establishing a bridge flood-resistant sway inversion model, a bridge seismic sway inversion model and a bridge compression-resistant sway inversion model, the flood-resistant, seismic and compression-resistant performance of the bridge after construction is evaluated to ensure the engineering quality of the intelligent installation of the bridge. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A basic flow chart of an overall installation method for a bridge cable hanger provided for one embodiment of the present invention. DETAILED DESCRIPTION

[0019] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, but not all of the embodiments.

[0020] Example, see Figure 1 , as an embodiment of the present invention, provides a method for installing a bridge cable hanger as a whole, comprising the following steps: Step S1, collecting environmental data, and obtaining construction data according to the environmental data; Step S2, based on the environmental data, construction data and construction process files, a bridge cable hoisting model is established by integrating the BIM building information modeling technology with the finite element modeling technology, a lighting system is added based on the bridge cable hoisting model, and corresponding permissions are set for each construction party for the bridge cable hoisting model; Step S3, performing installation construction based on the bridge cable hoisting model, and performing nighttime installation construction using a lighting system; Step S4, collecting environmental data and installation data in real time, obtaining the construction risk warning level according to the environmental data, bridge stress data and bridge deformation data, and adjusting the bridge cable hoisting model in real time; Step S5, after the installation of the bridge is completed, the installation data is collected, and whether the bridge installation is qualified is evaluated according to the installation data and the installation is adjusted, and an inversion model of bridge flood resistance sway, an inversion model of bridge seismic resistance sway and an inversion model of bridge compression resistance sway are established to evaluate the flood resistance performance, seismic resistance performance and compression resistance performance of the bridge respectively; The environmental data includes weather data, water flow data and on-site geographic data; The weather data includes weather type, temperature, air pressure, air humidity, wind speed, wind direction, precipitation and snowfall; The water flow data include water level, flow velocity, unit flow, unit sediment content, dissolved oxygen content and pH value; The on-site geographic data includes elevation map data of the unit range where the bridge is located; The construction data includes component installation location, component size, component material and component connection method; The installation data includes component installation position, component size, component material, component connection method and component connection gap.

[0021] The BIM building information modeling technology establishes a virtual three-dimensional model of the building project and uses digital technology to provide the model with a complete and actual building project information database, from the design, construction, operation to the end of the building's entire life cycle; The finite element model technology abstracts the actual problem or design solution into a finite element model that can provide all input data for numerical calculation. The model quantitatively reflects the characteristics of various aspects such as geometry, material, load, and constraint of the analysis object; The bridge stress data represents the force generated by the interaction of the internal parts of the bridge when it is subjected to external forces. The bridge deformation data represents the deformation data of each component when the bridge is subjected to external force, and the deformation data includes the deformation component number, deformation angle, deformation size and deformation position; The bridge flood resistance sway inversion model is used to simulate the sway of the bridge under a specific flood level; The bridge anti-seismic shaking inversion model is used to simulate the shaking of the bridge under a specific peak acceleration of the earthquake motion; The bridge compressive sway inversion model is used to simulate the sway of the bridge under a specific load; In this embodiment, intelligent installation of the bridge is achieved by establishing a bridge cable lifting model, and the lighting system is used to adjust the lighting strategy of the construction site in real time according to natural lighting conditions, which saves a lot of manpower and material resources and solves the problem of difficulty in night construction. In addition, by establishing a bridge flood resistance sway inversion model, a bridge seismic resistance sway inversion model and a bridge compression resistance sway inversion model, the flood resistance, seismic resistance and compression resistance of the bridge are evaluated to ensure the installation performance of the bridge.

[0022] The step S2 specifically includes the following steps: Step S201, establishing a bridge cable hoisting BIM model using BIM building information modeling technology based on environmental data, construction data and construction process files; Step S202, meshing the bridge cable hoisting BIM model according to the construction units, numbering each divided construction unit, and obtaining the bridge cable hoisting model; Step S203, obtaining the installation position of the lighting equipment according to the bridge cable hoisting model, constructing the lighting system, and ensuring that the lighting conditions meet the requirements for nighttime construction; Step S204: granting corresponding bridge cable hoisting model operation permissions to each construction party according to the construction responsibilities of each construction party, wherein the operation permissions include viewing permission, modifying permission, adding permission and deleting permission.

[0023] The construction unit represents the construction steps corresponding to the installation of each prefabricated component; The mesh division means dividing the bridge cable hoisting BIM model into a number of corresponding units; In this embodiment, the BIM model technology and the finite element model technology are integrated to establish a bridge cable lifting model, which improves the visualization level of bridge detection information, grasps the construction dynamics in real time, and ensures the safety and stability of bridge construction.

[0024] The step S3 specifically comprises the following steps: Step S301, obtaining lighting equipment information and lighting equipment installation locations based on the lighting system, issuing lighting equipment installation instructions, and installing light sensors; Step S302, the light sensor acquires light information in real time, and adjusts the lighting strategy of the lighting device in real time according to the light information; Step S303, obtaining installation steps according to the bridge cable hoisting model, issuing construction instructions according to the installation steps, and obtaining real-time installation video; Step S304, performing image processing on the real-time installation video to obtain installation information of the prefabricated component, wherein the installation information includes the installation unit number, the prefabricated component number, the installation position coordinates, the installation angle and the installation structure; Step S305, comparing the installation information with the corresponding installation simulation steps in the bridge cable hoisting model, obtaining the installation error, and adjusting the construction instructions in real time according to the installation error; Step S306: When the construction unit is installed, the structure of the construction unit is verified according to the bridge cable hoisting model, and the construction unit is adjusted according to the structure verification result.

[0025] The lighting information includes natural lighting intensity; The lighting strategy includes the lighting device opening position and the lighting device lighting intensity; In this embodiment, the bridge is installed according to the bridge cable hoisting model, the installation process is monitored in real time, and the installation operation is adjusted to ensure the accuracy of the bridge automated installation.

[0026] The step S4 specifically comprises the following steps: Step S401, using sensors to obtain environmental data, bridge stress data, and bridge deformation data of the construction site in real time; Step S402: When the sensor measurement value is greater than or equal to the expected threshold, it is defined as an abnormal value, and the construction risk warning level is evaluated according to the abnormal value, and the warning information is sent to the corresponding construction parties according to the construction risk warning level and the authority of each construction party; Step S403: the construction party adjusts the bridge cable hoisting model according to the early warning information, wherein the adjustment of the bridge cable hoisting model includes adjusting the construction steps, adjusting the construction time and adjusting the construction position.

[0027] In this embodiment, the construction risk warning level is evaluated by real-time monitoring of on-site environmental data, bridge stress data, and bridge deformation data, and the bridge cable lifting model is adjusted according to the construction risk warning level to ensure the safety of bridge construction.

[0028] The step S5 specifically comprises the following steps: Step S501, after the bridge is installed, bridge data is collected; Step S502, using the bridge data to verify the structure of the bridge according to the bridge cable hoisting model, and obtaining the unit qualification rate of each construction unit; Step S503: if the unit qualification rate of the construction unit is less than or equal to the expected threshold, the construction unit is defined as an unqualified construction unit, and construction problems are obtained according to the bridge data of the construction unit, and the bridge is installed and adjusted; Step S504: if the unit qualification rates of the construction units are all greater than the expected threshold, then establish a flood-resistant sway inversion model, a compression-resistant sway inversion model and a seismic-resistant sway inversion model, and set the corresponding bridge load input compression-resistant sway inversion model, flood level input flood-resistant sway inversion model and seismic-resistant sway inversion model, and evaluate the compressive performance, flood-resistant performance and seismic performance of the bridge according to the model inversion results; Step S505, determine whether the compressive strength, flood resistance and seismic resistance of the bridge meet the construction standards. If not, obtain the construction problems according to the inversion process of the bridge compressive sway inversion model, the bridge flood resistance sway inversion model and the bridge seismic sway inversion model, and install and adjust the bridge according to the construction problems.

[0029] In this embodiment, the quality of bridge construction is ensured by performing structural verification on the installed bridge and obtaining the unit qualification rate of each construction unit. The flood resistance, earthquake resistance and compression resistance of the bridge are evaluated respectively by establishing a flood resistance sway inversion model, an earthquake resistance sway inversion model and a compression resistance sway inversion model, thereby ensuring the installation performance of the bridge and providing data support for the subsequent maintenance of the bridge.

[0030] The step S302 specifically includes the following steps: Step S3021, the light sensor acquires natural light information, where the natural light information includes natural light intensity; Step S3022, obtaining a natural lighting level according to the natural lighting information, and obtaining a corresponding lighting strategy according to the natural lighting level, wherein the lighting strategy includes a lighting device start position and a lighting device lighting intensity; Step S3023: Turn on corresponding lighting equipment according to the lighting strategy.

[0031] In this embodiment, the lighting strategy is adjusted by real-time monitoring of natural light intensity, thereby providing perfect lighting conditions for bridge construction and solving the problem of difficult construction at night.

[0032] The step S306 specifically includes the following steps: Step S3061, collecting construction site images; Step S3062, simplifying the construction site image by image processing, superimposing and comparing the simplified construction site image with the corresponding construction unit model, obtaining the unit structure qualification rate of the construction unit, and obtaining the unit stability coefficient of the construction unit by weld flaw detection; Step S3063, obtaining the unit completion rate of the construction unit according to the unit structure qualification rate and the unit stability coefficient of the construction unit. If the unit completion rate is greater than or equal to the expected threshold, the installation of this construction unit is completed. If the unit completion rate is less than the expected threshold, the construction problem is obtained according to the superposition comparison result and the weld flaw detection result, and the installation of the construction unit is adjusted according to the construction problem. In this embodiment, the qualified rate of each construction unit is obtained by performing model superposition comparison and weld flaw detection on the construction units, thereby improving the installation accuracy and quality of the construction units.

[0033] The step S504 specifically includes the following steps: Step S5041, collecting environmental data and bridge load-bearing data after construction, inputting them into the bridge cable hoisting model after construction to perform environmental simulation, and obtaining the specific flood level, specific seismic peak acceleration and specific load bridge stress and shaking amplitude; Step S5042, using a specific flood level, a specific earthquake peak acceleration, a specific load and a bridge shaking amplitude as neural network learning training samples, and dividing the neural network learning training samples into a training set, a validation set and a test set according to a certain ratio; Step S5043, establishing a preliminary bridge flood-resistant sway inversion model, a preliminary bridge earthquake-resistant sway inversion model, and a preliminary bridge compression-resistant sway inversion model by using convolutional neural network technology; Step S5044, using the training set to train the preliminary bridge flood-resistant sway inversion model, the preliminary earthquake-resistant sway inversion model and the preliminary bridge compression-resistant sway inversion model, to obtain the bridge flood-resistant sway inversion model, the bridge earthquake-resistant sway inversion model and the bridge compression-resistant sway inversion model; Step S5045, using the verification set to verify the bridge flood resistance shaking inversion model, the bridge seismic resistance shaking inversion model and the bridge compression shaking inversion model respectively, using the test set to test the bridge flood resistance shaking inversion model, the bridge seismic resistance shaking inversion model and the bridge compression shaking inversion model respectively, and optimizing the bridge flood resistance shaking inversion model, the bridge seismic resistance shaking inversion model and the bridge compression shaking inversion model to the best model respectively.

[0034] In this embodiment, the certain ratio is 6:2:2.

[0035] The convolutional neural network is a feedforward neural network that includes convolution calculations and has a deep structure. It is mainly used for tasks such as image recognition, speech recognition, and natural language processing. It is a neural network specifically used to process data with a grid-like structure. Convolutional networks refer to those neural networks that use convolution operations to replace general matrix multiplication operations in at least one layer of the network. They have representational learning capabilities and can perform translation-invariant classification of input information according to their hierarchical structure. The architecture of a convolutional neural network usually consists of four layers: input layer, convolution layer, pooling layer, and fully connected layer.

[0036] In this embodiment, by establishing a bridge flood resistance and sway inversion model, a bridge seismic resistance and sway inversion model, and a bridge compression resistance and sway inversion model, the flood resistance, seismic resistance and compression resistance of the bridge after construction are evaluated to ensure the engineering quality of the intelligent installation of the bridge and provide data support for subsequent bridge maintenance.

[0037] The evaluation of the flood resistance performance of bridges based on the bridge flood resistance sway inversion model includes: Divide the flood resistance level of each bridge construction unit according to the bridge flood resistance sway inversion model to obtain the first weight distribution result; According to the bridge flood resistance sway inversion model, the stress condition and sway amplitude of each construction unit of the bridge in the actual environment are obtained to obtain the second weight distribution result; Based on the clustering algorithm, the bridge cable hoisting model is voxelized to obtain the grade analysis results of each construction unit of the bridge and obtain the third weight distribution result; The flood resistance performance of the bridge after the construction is completed is obtained according to the first weight distribution result, the second weight distribution result and the third weight distribution result.

[0038] The clustering algorithm is a typical unsupervised learning algorithm, which is mainly used to classify samples into different categories according to the similarity of the samples.

[0039] The voxelization division includes dividing the real-time dynamic three-dimensional model of the anti-scour construction in the BIM model according to the smallest unit in the three-dimensional space, which is essentially to discretize the three-dimensional space where the model is located so as to divide it into cube or cuboid grids, and judge whether each grid is on the surface of the model. If the grid is on the surface of the model, surface voxelization division is performed, and if the grid is inside the model, entity voxelization division is performed; In this embodiment, the flood resistance performance of the bridge after construction is obtained according to the first weight distribution result, the second weight distribution result and the third weight distribution result, thereby ensuring the accuracy and precision of the flood resistance performance of the bridge and guaranteeing the quality of the bridge installation.

[0040] By integrating BIM building information modeling technology and finite element modeling technology to establish a bridge cable lifting model, the on-site monitoring data can be collected in a timely and accurate manner. Through online analysis of the data, the dynamics of bridge construction can be grasped, the safety of bridge construction can be ensured, the construction efficiency can be improved, and bridge construction accidents can be reduced and avoided. It also realizes intelligent installation of bridges, saving a lot of manpower and material resources.

[0041] A lighting system was established based on the bridge cable lifting model. The lighting system was used to monitor the natural lighting environment in real time and adjust the lighting strategy, accurately solving the problem of difficult construction at night.

[0042] By establishing a bridge flood-resistant sway inversion model, a bridge seismic sway inversion model and a bridge compression-resistant sway inversion model, the flood-resistant, seismic and compression-resistant performance of the bridge after construction is evaluated to ensure the engineering quality of the intelligent installation of the bridge.

[0043] It should be understood by those skilled in the art that the 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 aspects. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program codes. Among them, the storage medium may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, magnetic disk or optical disk. 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.

[0044] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for installing a bridge cable hanger, characterized in that: The following steps are involved: Step S1, collecting environmental data, and obtaining construction data according to the environmental data; Step S2, based on the environmental data, construction data and construction process files, a bridge cable hoisting model is established by integrating the BIM building information modeling technology with the finite element modeling technology, a lighting system is added based on the bridge cable hoisting model, and corresponding permissions are set for each construction party for the bridge cable hoisting model; Step S3, performing installation construction based on the bridge cable hoisting model, and performing nighttime installation construction using a lighting system; Step S4, collecting environmental data and installation data in real time, obtaining the construction risk warning level according to the environmental data, bridge stress data and bridge deformation data, and adjusting the bridge cable hoisting model in real time; Step S5, after the installation of the bridge is completed, the installation data is collected, and whether the bridge installation is qualified is evaluated according to the installation data and the installation is adjusted, and an inversion model of bridge flood resistance sway, an inversion model of bridge seismic resistance sway and an inversion model of bridge compression resistance sway are established to evaluate the flood resistance performance, seismic resistance performance and compression resistance performance of the bridge respectively; The environmental data includes weather data, water flow data and on-site geographic data; The construction data includes component installation location, component size, component material and component connection method; The installation data includes component installation position, component size, component material, component connection method and component connection gap.

2. A method for installing a bridge cable hanger as claimed in claim 1, characterized in that: The step S2 specifically includes the following steps: Step S201, establishing a bridge cable hoisting BIM model using BIM building information modeling technology based on environmental data, construction data and construction process files; Step S202, meshing the bridge cable hoisting BIM model according to the construction units, numbering each divided construction unit, and obtaining the bridge cable hoisting model; Step S203, obtaining the installation position of the lighting equipment according to the bridge cable hoisting model, constructing the lighting system, and ensuring that the lighting conditions meet the requirements for nighttime construction; Step S204: granting corresponding bridge cable hoisting model operation permissions to each construction party according to the construction responsibilities of each construction party, wherein the operation permissions include viewing permission, modifying permission, adding permission and deleting permission.

3. A method for installing a bridge cable hanger as claimed in claim 1, characterized in that: The step S3 specifically comprises the following steps: Step S301, obtaining lighting equipment information and lighting equipment installation locations based on the lighting system, issuing lighting equipment installation instructions, and installing light sensors; Step S302, the light sensor acquires light information in real time, and adjusts the lighting strategy of the lighting device in real time according to the light information; Step S303, obtaining installation steps according to the bridge cable hoisting model, issuing construction instructions according to the installation steps, and obtaining real-time installation video; Step S304, performing image processing on the real-time installation video to obtain installation information of the prefabricated component, wherein the installation information includes the installation unit number, the prefabricated component number, the installation position coordinates, the installation angle and the installation structure; Step S305, comparing the installation information with the corresponding installation simulation steps in the bridge cable hoisting model, obtaining the installation error, and adjusting the construction instructions in real time according to the installation error; Step S306: When the construction unit is installed, the structure of the construction unit is verified according to the bridge cable hoisting model, and the construction unit is adjusted according to the structure verification result.

4. A method for installing a bridge cable hanger as claimed in claim 1, characterized in that: The step S4 specifically comprises the following steps: Step S401, using sensors to obtain environmental data, bridge stress data, and bridge deformation data of the construction site in real time; Step S402: When the sensor measurement value is greater than or equal to the expected threshold, it is defined as an abnormal value, and the construction risk warning level is evaluated according to the abnormal value, and the warning information is sent to the corresponding construction parties according to the construction risk warning level and the authority of each construction party; Step S403: the construction party adjusts the bridge cable hoisting model according to the early warning information, wherein the adjustment of the bridge cable hoisting model includes adjusting the construction steps, adjusting the construction time and adjusting the construction position.

5. A method for installing a bridge cable hanger as claimed in claim 1, characterized in that: The step S5 specifically comprises the following steps: Step S501, after the bridge is installed, bridge data is collected; Step S502, using the bridge data to verify the structure of the bridge according to the bridge cable hoisting model, and obtaining the unit qualification rate of each construction unit; Step S503: if the unit qualification rate of the construction unit is less than or equal to the expected threshold, the construction unit is defined as an unqualified construction unit, and construction problems are obtained according to the bridge data of the construction unit, and the bridge is installed and adjusted; Step S504: if the unit qualification rates of the construction units are all greater than the expected threshold, then establish a flood-resistant sway inversion model, a compression-resistant sway inversion model and a seismic-resistant sway inversion model, and set the corresponding bridge load input compression-resistant sway inversion model, flood level input flood-resistant sway inversion model and seismic-resistant sway inversion model, and evaluate the compressive performance, flood-resistant performance and seismic performance of the bridge according to the model inversion results; Step S505, determine whether the compressive strength, flood resistance and seismic resistance of the bridge meet the construction standards. If not, obtain the construction problems according to the inversion process of the bridge compressive sway inversion model, the bridge flood resistance sway inversion model and the bridge seismic sway inversion model, and install and adjust the bridge according to the construction problems.

6. A method for installing a bridge cable hanger as claimed in claim 3, characterized in that: The step S302 specifically includes the following steps: Step S3021, the light sensor acquires natural light information, where the natural light information includes natural light intensity; Step S3022, obtaining a natural lighting level according to the natural lighting information, and obtaining a corresponding lighting strategy according to the natural lighting level, wherein the lighting strategy includes a lighting device start position and a lighting device lighting intensity; Step S3023: Turn on corresponding lighting equipment according to the lighting strategy.

7. A method for installing a bridge cable hanger as claimed in claim 3, characterized in that: The step S306 specifically includes the following steps: Step S3061, collecting construction site images; Step S3062, simplifying the construction site image by image processing, superimposing and comparing the simplified construction site image with the corresponding construction unit model, obtaining the unit structure qualification rate of the construction unit, and obtaining the unit stability coefficient of the construction unit by weld flaw detection; Step S3063, obtain the unit completion rate of the construction unit according to the unit structure qualification rate and the unit stability coefficient of the construction unit. If the unit completion rate is greater than or equal to the expected threshold, the installation of this construction unit is completed. If the unit completion rate is less than the expected threshold, obtain the construction problem according to the superposition comparison result and the weld flaw detection result, and adjust the installation of the construction unit according to the construction problem.

8. A method for installing a bridge cable hanger as claimed in claim 5, characterized in that: The step S504 specifically includes the following steps: Step S5041, collecting environmental data and bridge load-bearing data after construction, inputting them into the bridge cable hoisting model after construction to perform environmental simulation, and obtaining the specific flood level, specific seismic peak acceleration and specific load bridge stress and shaking amplitude; Step S5042, using a specific flood level, a specific earthquake peak acceleration, a specific load and a bridge shaking amplitude as neural network learning training samples, and dividing the neural network learning training samples into a training set, a validation set and a test set according to a certain ratio; Step S5043, establishing a preliminary bridge flood-resistant sway inversion model, a preliminary bridge earthquake-resistant sway inversion model, and a preliminary bridge compression-resistant sway inversion model by using convolutional neural network technology; Step S5044, using the training set to train the preliminary bridge flood-resistant sway inversion model, the preliminary earthquake-resistant sway inversion model and the preliminary bridge compression-resistant sway inversion model, to obtain the bridge flood-resistant sway inversion model, the bridge earthquake-resistant sway inversion model and the bridge compression-resistant sway inversion model; Step S5045, using the verification set to verify the bridge flood resistance shaking inversion model, the bridge seismic resistance shaking inversion model and the bridge compression shaking inversion model respectively, using the test set to test the bridge flood resistance shaking inversion model, the bridge seismic resistance shaking inversion model and the bridge compression shaking inversion model respectively, and optimizing the bridge flood resistance shaking inversion model, the bridge seismic resistance shaking inversion model and the bridge compression shaking inversion model to the best model respectively.

9. A method for installing a bridge cable hanger as claimed in claim 1, characterized in that: The evaluation of the flood resistance performance of bridges based on the bridge flood resistance sway inversion model includes: Divide the flood resistance level of each bridge construction unit according to the bridge flood resistance sway inversion model to obtain the first weight distribution result; According to the bridge flood resistance sway inversion model, the stress condition and sway amplitude of each construction unit of the bridge in the actual environment are obtained to obtain the second weight distribution result; Based on the clustering algorithm, the bridge cable hoisting model is voxelized to obtain the grade analysis results of each construction unit of the bridge and obtain the third weight distribution result; The flood resistance performance of the bridge after the construction is completed is obtained according to the first weight distribution result, the second weight distribution result and the third weight distribution result.

10. An electronic device, characterized in that: include: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; the processor executes a bridge cable hanger overall installation method according to any one of claims 1 to 9 by calling the computer program stored in the memory.

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