Bridge construction monitoring method, device and equipment based on digital twinning and medium

Abstract

The invention discloses a bridge construction monitoring method, device and equipment based on digital twinning and a medium, and relates to the technical field of digital twinning, and the method comprises the steps: carrying out the construction environment data collection of a preset construction environment, and constructing a virtual construction site according to the collected construction environment data; acquiring equipment information of the construction equipment, and acquiring positioning data of the construction equipment in real time through a preset positioning sensor; determining real-time attitude information of the construction equipment based on positioning information generated by the positioning data and the equipment information; determining a real-time bridge erection point location based on the collected real-time construction image so as to generate bridge tracking information; and constructing a bridge construction model based on digital twinning based on the virtual construction site, the positioning information, the real-time attitude information and the bridge tracking information, and performing remote real-time monitoring according to the bridge construction model. Therefore, real-time visual feedback can be provided for intelligent control through the constructed bridge construction site model based on digital twinning.

Description

Technical Field

[0001] The present invention relates to the technical field of digital twins, and in particular to a bridge construction monitoring method, device, equipment and medium based on digital twins. Background Art

[0002] With the increasing development of IoT devices and digital technology, digital mapping of construction sites has been applied in many construction fields. As a common project in road and bridge construction, bridge construction also has a high demand for digital mapping of construction sites. Since beam hoists, beam transporters and bridge erection machines, as well as prefabricated beams and areas to be erected often have ample space, they provide favorable basic conditions for the digital twinning of construction sites. However, most of the existing technologies simply reflect the on-site location of construction equipment and prefabricated beams, lacking more detailed on-site situation display and tracking, especially in tracking the construction progress, there is still a lot of room for improvement. Summary of the invention

[0003] In view of this, the purpose of the present invention is to provide a bridge construction monitoring method, device, equipment and medium based on digital twins, which can provide real-time visual feedback for intelligent control through the constructed bridge construction site model based on digital twins. The specific scheme is as follows:

[0004] In a first aspect, the present application discloses a bridge construction monitoring method based on digital twins, comprising:

[0005] Collecting construction environment data for a preset construction environment, so as to construct a virtual construction site according to the collected construction environment data;

[0006] Collecting equipment information of the construction equipment, and obtaining positioning data of the construction equipment in real time through a preset positioning sensor in the construction equipment;

[0007] Generate positioning information based on the positioning data, so as to determine the real-time posture information of the construction equipment through the positioning information and the equipment information;

[0008] Collecting a real-time construction image of the preset construction environment, determining a real-time bridge erection point based on the real-time construction image, and generating bridge tracking information according to the real-time bridge erection point;

[0009] A bridge construction model based on digital twins is constructed based on the virtual construction site, the positioning information, the real-time posture information and the bridge tracking information, and remote real-time monitoring is performed based on the bridge construction model.

[0010] Optionally, collecting construction environment data for a preset construction environment to construct a virtual construction site according to the collected construction environment data includes:

[0011] Scanning the terrain and fixed buildings of a preset construction environment by a preset scanning device based on a preset time frequency to obtain construction environment data of the preset construction environment;

[0012] If the construction environment data is the construction environment data collected for the first time, constructing a virtual construction site mapped with the terrain and the fixed building based on the construction environment data;

[0013] If the construction environment data is not the construction environment data collected for the first time, the virtual construction site is updated based on the construction environment data.

[0014] Optionally, the collecting of equipment information of the construction equipment and obtaining the positioning data of the construction equipment in real time through a preset positioning sensor in the construction equipment includes:

[0015] Collecting component information and profile information of the construction equipment to generate equipment information of the construction equipment according to the component information and the profile information;

[0016] If a work start signal of the construction equipment is received, the positioning data of the construction equipment is collected in real time through a preset positioning sensor in the construction equipment.

[0017] Optionally, determining the real-time posture information of the construction equipment through the positioning information and the equipment information includes:

[0018] Determine the real-time component position of the construction equipment through the positioning information, so as to determine the real-time posture of the construction equipment through the real-time component position;

[0019] The real-time posture information of the construction equipment is generated according to the real-time posture of the construction equipment.

[0020] Optionally, the collecting of the real-time construction image of the preset construction environment to determine the real-time bridge erection point based on the real-time construction image, and generating bridge tracking information according to the real-time bridge erection point includes:

[0021] Based on a plurality of preset angles, real-time construction images corresponding to the preset construction environment are collected; the plurality of preset angles are at least three different angles;

[0022] Identifying elements in the real-time construction image to obtain a number of construction elements, and classifying the number of construction elements to obtain classified construction elements;

[0023] The classified construction elements are positioned to determine real-time bridge erection points, and bridge erection information is determined based on the real-time bridge erection points to generate bridge tracking information based on the bridge erection information; the bridge tracking information is information that characterizes changes in bridge erection.

[0024] Optionally, constructing a bridge construction model based on a digital twin based on the virtual construction site, the positioning information, the real-time posture information, and the bridge tracking information, and performing remote real-time monitoring according to the bridge construction model includes:

[0025] Mapping the positioning information, the real-time posture information and the bridge tracking information to the virtual construction site to obtain a target virtual construction site filled with data;

[0026] A bridge construction model based on digital twin is constructed according to the target virtual construction site, so as to perform remote real-time monitoring according to the bridge construction model.

[0027] Optionally, after constructing a bridge construction model based on a digital twin based on the virtual construction site, the positioning information, the real-time posture information, and the bridge tracking information, and performing remote real-time monitoring according to the bridge construction model, the method further includes:

[0028] Building a risk fence corresponding to the construction equipment in the bridge construction model based on a preset risk range;

[0029] If the construction equipment is in working state, determining the real-time position of the construction personnel based on the real-time construction image;

[0030] If the real-time location is within the risk fence, warning information is generated to issue a risk warning based on the warning information.

[0031] In the second aspect, the present application discloses a bridge construction monitoring device based on digital twin, comprising:

[0032] A virtual site construction module is used to collect construction environment data for a preset construction environment, so as to construct a virtual construction site according to the collected construction environment data;

[0033] A positioning information determination module, used to collect equipment information of the construction equipment, and obtain the positioning data of the construction equipment in real time through a preset positioning sensor in the construction equipment;

[0034] A posture information determination module, used to generate positioning information based on the positioning data, so as to determine the real-time posture information of the construction equipment through the positioning information and the equipment information;

[0035] A tracking information acquisition module, used to collect real-time construction images of the preset construction environment, to determine real-time bridge erection points based on the real-time construction images, and to generate bridge tracking information according to the real-time bridge erection points;

[0036] A remote monitoring module is used to build a bridge construction model based on digital twins based on the virtual construction site, the positioning information, the real-time posture information and the bridge tracking information, and to perform remote real-time monitoring based on the bridge construction model.

[0037] In a third aspect, the present application discloses an electronic device, including:

[0038] Memory, used to store computer programs;

[0039] A processor is used to execute the computer program to implement the bridge construction monitoring method based on digital twin as mentioned above.

[0040] In a fourth aspect, the present application discloses a computer-readable storage medium for storing a computer program, wherein the computer program, when executed by a processor, implements the aforementioned digital twin-based bridge construction monitoring method.

[0041] In the present application, it is first necessary to collect construction environment data for a preset construction environment, so as to build a virtual construction site based on the collected construction environment data; collect equipment information of the construction equipment, and obtain the positioning data of the construction equipment in real time through a preset positioning sensor in the construction equipment; generate positioning information based on the positioning data, so as to determine the real-time posture information of the construction equipment through the positioning information and the equipment information; collect real-time construction images of the preset construction environment, so as to determine the real-time bridge erection points based on the real-time construction images, and generate bridge tracking information based on the real-time bridge erection points; build a bridge construction model based on digital twins based on the virtual construction site, the positioning information, the real-time posture information and the bridge tracking information, and perform remote real-time monitoring based on the bridge construction model. It can be seen that the method of the present application requires the collection of construction environment data for the preset construction environment, so as to construct a virtual construction site according to the collected construction environment data, collect equipment information of the construction equipment, and obtain the positioning data of the construction equipment in real time through the preset positioning sensor, determine the real-time posture information of the construction equipment based on the positioning information generated by the positioning data and the equipment information, determine the real-time bridge erection point based on the collected real-time construction image, and generate bridge tracking information, and finally construct a bridge construction model based on digital twins based on the virtual construction site, positioning information, real-time posture information and bridge tracking information, and perform remote real-time monitoring according to the bridge construction model. In this way, a bridge construction site model based on digital twins can be constructed, so that the obtained bridge construction site model can be used for remote real-time monitoring of bridge construction, which not only facilitates the background management personnel to remotely track the situation of the bridge construction site, but also can provide reliable and effective real-time visual feedback for the intelligent control of the background management, and provide a new quality productivity foundation for bridge construction. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0043] Figure 1 A flow chart of a bridge construction monitoring method based on digital twin disclosed in this application;

[0044] Figure 2 A schematic diagram of displaying the outline of a bridge erecting machine based on a bridge construction monitoring model disclosed in the present application;

[0045] Figure 3A schematic diagram of displaying the outline of a beam lifting machine based on a bridge construction monitoring model disclosed in the present application;

[0046] Figure 4 A schematic diagram of displaying the outline of a beam transport vehicle based on a bridge construction monitoring model disclosed in the present application;

[0047] Figure 5 A schematic diagram of displaying the profile of a bridge lifting machine based on a bridge construction monitoring model disclosed in this application;

[0048] Figure 6 This is a flow chart of another bridge construction monitoring method based on digital twins disclosed in this application;

[0049] Figure 7 A schematic diagram of construction equipment parameter adjustment disclosed in this application;

[0050] Figure 8 This is a structural schematic diagram of a bridge construction monitoring device based on digital twins disclosed in this application;

[0051] Fig. 9 This is a structural diagram of an electronic device disclosed in this application. DETAILED DESCRIPTION

[0052] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0053] Most of the existing bridge construction monitoring methods simply reflect the on-site location of construction equipment and prefabricated beams. They lack more detailed on-site situation display and tracking, especially in tracking construction progress. Therefore, there is still much room for improvement.

[0054] In order to overcome the above technical problems, the present application provides a bridge construction monitoring method, device, equipment and medium based on digital twin, which can provide real-time visual feedback for intelligent control through the constructed digital twin-based bridge construction site model.

[0055] See also Figure 1 As shown, the embodiment of the present invention discloses a bridge construction monitoring method based on digital twin, including:

[0056] Step S11: collecting construction environment data for a preset construction environment, so as to construct a virtual construction site according to the collected construction environment data.

[0057] In this embodiment, it is necessary to collect corresponding construction environment data of the construction environment of the construction site, and then construct a virtual construction site corresponding to the collected construction environment based on the obtained construction environment data. Specifically, it is necessary to use a preset scanning device, through a preset time frequency, to scan the environment of the construction site according to the preset time frequency to perform corresponding data collection, wherein the scanned objects include the terrain and fixed buildings of the preset construction environment, and the preset scanning equipment for data collection includes but is not limited to any one or a combination of three-dimensional laser scanning equipment, photogrammetry equipment, and lidar equipment. When multiple scanning devices are used for scanning, joint collection can be performed.

[0058] Furthermore, it is necessary to analyze the currently collected construction environment data. If the collected construction environment data is the first time to collect the construction environment data, a virtual construction site mapped to the terrain and fixed buildings in the construction environment can be constructed based on the first collected construction environment data. In another case, if the collected construction environment data is not the first time to collect the construction environment data, the data collected this time is characterized as the construction environment data collected again at a preset time frequency. The constructed virtual construction site can be updated based on the construction environment data collected this time to ensure that the virtual construction site can present the real situation of the current construction site. In this way, by collecting real-time construction environment data to construct or update the virtual construction site, the real-time nature of the virtual construction site can be effectively guaranteed, ensuring that the virtual construction site can present the real situation of the construction site.

[0059] Step S12: collecting equipment information of the construction equipment, and obtaining positioning data of the construction equipment in real time through a preset positioning sensor in the construction equipment.

[0060] In this embodiment, it is necessary to collect various equipment information of the construction equipment. It should be noted that there are various equipment at the bridge construction site, including beam lifting machines, beam transport vehicles and bridge erection machines, etc. The beam lifting machines are used to lift prefabricated beams from the ground or production area of ​​the construction site and transfer them to the beam transport vehicles. The beam transport vehicles are used to transport prefabricated beams to the vicinity of the piers or abutments to be erected, and then the bridge erection machine places the prefabricated beams at the target position. Specifically, it is necessary to collect component information and contour information of the construction equipment, wherein the component information includes moving component information, fixed structure component information, and moving speed range information and braking performance information of the moving components of the beam lifting machine, beam transport vehicle and bridge erecting machine. Furthermore, if a work start signal of the construction equipment is received, the positioning data of the construction equipment can be collected in real time through the preset positioning sensors in the construction equipment. Specifically, there are multiple positioning sensors arranged on the beam lifting machine, beam transport vehicle and bridge erecting machine, and at least one positioning sensor is arranged on the moving components and fixed structure components of the beam lifting machine, beam transport vehicle and bridge erecting machine. At the same time, each positioning sensor has a unique identifier, and the positioning data fed back by the positioning sensor is accompanied by a timestamp. In addition, the contour information of the beam lifting machine, beam transport vehicle and bridge erecting machine can be inverted from the positioning data fed back by multiple positioning sensors arranged on the beam lifting machine, beam transport vehicle and bridge erecting machine.

[0061] Step S13: Generate positioning information based on the positioning data, so as to determine the real-time posture information of the construction equipment through the positioning information and the equipment information.

[0062] In this embodiment, it is necessary to generate positioning information based on the obtained positioning data, and then the real-time posture information of the construction equipment can be determined based on the obtained positioning information and equipment information. Specifically, the real-time component positions of the construction equipment can be determined based on the positioning information collected by the sensor, and then the real-time posture of the construction equipment can be determined through the real-time component positions. Furthermore, since there may be a certain clock difference between different sensors, when determining the real-time posture of the construction equipment, it is necessary to combine the corresponding positioning information of multiple sensors, and overcome the clock difference that may exist between different sensors by using the timestamp of the positioning data that generates the positioning information. Finally, the corresponding real-time posture information can be generated based on the inferred real-time posture of the construction equipment. In this way, the accuracy of the real-time posture of the construction equipment can be guaranteed, thereby ensuring the accuracy of bridge construction monitoring.

[0063] Step S14: collecting real-time construction images of the preset construction environment, determining real-time bridge erection points based on the real-time construction images, and generating bridge tracking information according to the real-time bridge erection points.

[0064] In this embodiment, it is necessary to collect the implementation construction images of the preset construction environment, and then determine the real-time bridge erection points based on the collected implementation construction images, and then generate bridge tracking information based on the real-time bridge erection points. Specifically, it is necessary to collect the real-time construction images of the preset construction environment from multiple angles, and then identify the various elements contained in the implementation construction images, and classify the identified several construction elements to obtain classified construction elements, wherein the construction elements in the implementation construction images include construction equipment, such as beam hoists, beam transporters, bridge erection machines, etc., and also include construction personnel, prefabricated beams, and bridge piers or abutments to be erected. After obtaining the classified construction elements, it is necessary to locate the classified construction elements to determine the bridge piers or abutments to be erected based on the classified construction elements, and determine the real-time bridge erection points in combination with the real-time construction images, and then convert the real-time bridge erection points into bridge erection information, and generate bridge tracking information representing the changes in bridge erection based on the bridge erection information.

[0065] Step S15: construct a bridge construction model based on digital twins based on the virtual construction site, the positioning information, the real-time posture information and the bridge tracking information, and perform remote real-time monitoring based on the bridge construction model.

[0066] In this embodiment, it is necessary to construct a bridge construction model based on digital twins according to the obtained virtual construction site, positioning information, real-time posture information and bridge tracking information, and perform remote real-time monitoring according to the bridge construction model. Specifically, it is necessary to map the positioning information, real-time posture information and bridge tracking information to the virtual construction site to obtain the target virtual construction site after data filling. Finally, a bridge construction model based on digital twins can be constructed according to the target virtual construction site, so as to perform remote real-time monitoring according to the bridge construction model after receiving the work start signal of the construction equipment. Figure 2 As shown in the figure, it is an example of a separate visualization of the outline of the bridge-building machine in the form of a digital twin; Figure 3 As shown in the figure, it is an example of a separate visualization of the outline of the beam lifting machine in the form of a digital twin; Figure 4 As shown in Figure 1, an example of a separate visualization of the outline of the beam transport vehicle in the form of a digital twin is shown; Figure 5 As shown, this is an example of separately visualizing the outline of a bridge-building machine in the form of a digital twin while simultaneously playing images of the working area where the bridge-building machine is located.

[0067] Furthermore, it is also possible to obtain bridge tracking information, determine the location of the bridge at the construction site, and then generate the construction progress information of the bridge, and update the location changes and progress of its construction and installation in real time, providing convenient tracking feedback for the back-end personnel. In addition, in order to improve the control reliability of construction equipment and to be able to intervene in time when an abnormality occurs, it is also possible to determine the environmental information of the construction site based on the real-time construction images obtained, and then control the construction equipment in real time based on the environmental information.

[0068] It can be seen that the method of the present application requires the collection of construction environment data for the preset construction environment, so as to construct a virtual construction site according to the collected construction environment data, collect equipment information of the construction equipment, and obtain the positioning data of the construction equipment in real time through the preset positioning sensor, determine the real-time posture information of the construction equipment based on the positioning information generated by the positioning data and the equipment information, determine the real-time bridge erection point based on the collected real-time construction image, and generate bridge tracking information, and finally construct a bridge construction model based on digital twins based on the virtual construction site, positioning information, real-time posture information and bridge tracking information, and perform remote real-time monitoring according to the bridge construction model. In this way, a bridge construction site model based on digital twins can be constructed, so that the obtained bridge construction site model can be used for remote real-time monitoring of bridge construction, which not only facilitates the background management personnel to remotely track the situation of the bridge construction site, but also can provide reliable and effective real-time visual feedback for the intelligent control of the background management, and provide a new quality productivity foundation for bridge construction.

[0069] See also Figure 6 As shown, the embodiment of the present invention discloses a bridge construction monitoring method based on digital twin, including:

[0070] Step S21: construct a risk fence corresponding to the construction equipment in the bridge construction model based on a preset risk range.

[0071] In this embodiment, in order to ensure safety during construction, a risk fence corresponding to the construction equipment can be constructed in the bridge construction model. Specifically, it can be determined whether the construction equipment is in a working state or a standby state, that is, a preparatory state before work, based on the corresponding positioning data of the construction equipment. When in the above two states, the working range of various construction equipment can be determined based on the equipment information, and then a working range threshold greater than the working range of the construction equipment can be automatically generated, so that the area within the working range threshold is used as the risk fence corresponding to the construction equipment. On the other hand, the system can also automatically generate a working range threshold. Further, if Figure 7 As shown, it can also be set through the background system to adjust the safety distance between construction equipment components.

[0072] Step S22: If the construction equipment is in working state, the real-time position of the construction personnel is determined based on the real-time construction image.

[0073] In this embodiment, if the construction equipment is in working condition, it is necessary to determine the real-time location of the construction personnel through the collected real-time construction images. Specifically, it is necessary to determine whether there are construction personnel within the range of the risk fence based on the construction images collected from multiple angles, and track the location of the construction personnel to determine the whereabouts of the construction personnel, so as to determine the real-time location of the construction personnel in real time.

[0074] Step S23: If the real-time location is within the risk fence, a warning message is generated to issue a risk warning based on the warning message.

[0075] In this embodiment, if the real-time position corresponding to the construction personnel is within the risk range, it is necessary to generate early warning information immediately and perform risk warning based on the generated early warning information. For example, when a construction personnel enters the risk fence, risk information is immediately generated and sent to the construction site so that the construction site can broadcast the risk warning audio immediately after receiving the risk information to prompt the construction personnel to leave the range of the risk fence.

[0076] It can be seen that the method of the present application can construct a risk fence corresponding to the construction equipment in the bridge construction model based on the preset risk range. When the construction equipment is in working state, the real-time position of the construction personnel is determined based on the real-time construction image. When the real-time position is within the risk fence, an early warning message is generated to issue a risk warning based on the early warning message. In this way, it can be ensured that the construction personnel will not appear in the risk area of ​​the construction environment, thereby ensuring the safety of the construction personnel and the smooth operation of the construction process.

[0077] See also Figure 8 As shown, the embodiment of the present invention discloses a bridge construction monitoring device based on digital twin, including:

[0078] A virtual site construction module 11 is used to collect construction environment data for a preset construction environment, so as to construct a virtual construction site according to the collected construction environment data;

[0079] A positioning information determination module 12 is used to collect equipment information of the construction equipment and obtain the positioning data of the construction equipment in real time through a preset positioning sensor in the construction equipment;

[0080] A posture information determination module 13, used to generate positioning information based on the positioning data, so as to determine the real-time posture information of the construction equipment through the positioning information and the equipment information;

[0081] A tracking information acquisition module 14 is used to collect real-time construction images of the preset construction environment, determine real-time bridge erection points based on the real-time construction images, and generate bridge tracking information according to the real-time bridge erection points;

[0082] The remote monitoring module 15 is used to build a bridge construction model based on digital twins based on the virtual construction site, the positioning information, the real-time posture information and the bridge tracking information, and perform remote real-time monitoring according to the bridge construction model.

[0083] In this embodiment, it is first necessary to collect construction environment data for the preset construction environment, so as to build a virtual construction site according to the collected construction environment data; collect equipment information of the construction equipment, and obtain the positioning data of the construction equipment in real time through the preset positioning sensor in the construction equipment; generate positioning information based on the positioning data, so as to determine the real-time posture information of the construction equipment through the positioning information and the equipment information; collect real-time construction images of the preset construction environment, so as to determine the real-time bridge erection points based on the real-time construction images, and generate bridge tracking information according to the real-time bridge erection points; build a bridge construction model based on digital twins based on the virtual construction site, the positioning information, the real-time posture information and the bridge tracking information, and perform remote real-time monitoring according to the bridge construction model. It can be seen that the method of the present application requires the collection of construction environment data for the preset construction environment, so as to construct a virtual construction site according to the collected construction environment data, collect equipment information of the construction equipment, and obtain the positioning data of the construction equipment in real time through the preset positioning sensor, determine the real-time posture information of the construction equipment based on the positioning information generated by the positioning data and the equipment information, determine the real-time bridge erection point based on the collected real-time construction image, and generate bridge tracking information, and finally construct a bridge construction model based on digital twins based on the virtual construction site, positioning information, real-time posture information and bridge tracking information, and perform remote real-time monitoring according to the bridge construction model. In this way, a bridge construction site model based on digital twins can be constructed, so that the obtained bridge construction site model can be used for remote real-time monitoring of bridge construction, which not only facilitates the background management personnel to remotely track the situation of the bridge construction site, but also can provide reliable and effective real-time visual feedback for the intelligent control of the background management, and provide a new quality productivity foundation for bridge construction.

[0084] In some embodiments, the virtual scene construction module 11 may specifically include:

[0085] An environment scanning unit, configured to scan the terrain and fixed buildings of a preset construction environment based on a preset time frequency by using a preset scanning device to obtain construction environment data of the preset construction environment;

[0086] A virtual site construction unit, configured to construct a virtual construction site mapped with the terrain and the fixed building based on the construction environment data if the construction environment data is the construction environment data collected for the first time;

[0087] The virtual site updating unit is used to update the virtual construction site based on the construction environment data if the construction environment data is not the construction environment data collected for the first time.

[0088] In some embodiments, the positioning information determination module 12 may specifically include:

[0089] An equipment information generating unit, used for collecting component information and profile information of the construction equipment, so as to generate the equipment information of the construction equipment according to the component information and the profile information;

[0090] The positioning data acquisition unit is used to collect the positioning data of the construction equipment in real time through a preset positioning sensor in the construction equipment if a work start signal of the construction equipment is received.

[0091] In some embodiments, the posture information determination module 13 may specifically include:

[0092] a posture determination unit, used to determine the real-time component position of the construction equipment through the positioning information, so as to determine the real-time posture of the construction equipment through the real-time component position;

[0093] A posture information generating unit is used to generate real-time posture information of the construction equipment according to the real-time posture of the construction equipment.

[0094] In some embodiments, the tracking information collection module 14 may specifically include:

[0095] An image acquisition unit, used to acquire real-time construction images corresponding to the preset construction environment based on a plurality of preset angles; the plurality of preset angles are at least three different angles;

[0096] An element classification unit, used for identifying elements in the real-time construction image to obtain a number of construction elements, and classifying the number of construction elements to obtain classified construction elements;

[0097] A tracking information generating unit is used to locate the classified construction elements to determine the real-time bridge erection points, and determine the bridge erection information according to the real-time bridge erection points, so as to generate bridge tracking information based on the bridge erection information; the bridge tracking information is information that characterizes changes in bridge erection.

[0098] In some embodiments, the remote monitoring module 15 may specifically include:

[0099] A data filling unit, used for mapping the positioning information, the real-time posture information and the bridge tracking information to the virtual construction site to obtain a target virtual construction site after data filling;

[0100] A remote monitoring unit is used to construct a bridge construction model based on a digital twin according to the target virtual construction site, so as to perform remote real-time monitoring according to the bridge construction model.

[0101] In some embodiments, the bridge construction monitoring device based on digital twin may further include:

[0102] A risk fence construction unit, configured to construct a risk fence corresponding to the construction equipment in the bridge construction model based on a preset risk range;

[0103] A real-time position determination unit, configured to determine the real-time position of the construction personnel based on the real-time construction image if the construction equipment is in a working state;

[0104] The risk warning unit is used to generate warning information if the real-time position is within the risk fence, so as to issue a risk warning according to the warning information.

[0105] Furthermore, the present application also discloses an electronic device. Fig. 9 This is a structural diagram of an electronic device 20 according to an exemplary embodiment. The content in the diagram cannot be regarded as any limitation on the scope of use of the present application.

[0106] Fig. 9 A schematic diagram of the structure of an electronic device 20 provided in an embodiment of the present application. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input / output interface 25, and a communication bus 26. The memory 22 is used to store a computer program, which is loaded and executed by the processor 21 to implement the relevant steps in the bridge construction monitoring method based on digital twins disclosed in any of the aforementioned embodiments. In addition, the electronic device 20 in this embodiment may specifically be an electronic computer.

[0107] In this embodiment, the power supply 23 is used to provide working voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and the external device, and the communication protocol it follows is any communication protocol that can be applied to the technical solution of the present application, and is not specifically limited here; the input and output interface 25 is used to obtain external input data or output data to the outside world, and its specific interface type can be selected according to specific application needs and is not specifically limited here.

[0108] In addition, the memory 22 as a carrier for resource storage may be a read-only memory, a random access memory, a disk or an optical disk, etc. The resources stored thereon may include an operating system 221, a computer program 222, etc., and the storage method may be temporary storage or permanent storage.

[0109] The operating system 221 is used to manage and control the hardware devices and computer programs 222 on the electronic device 20, which can be Windows Server, Netware, Unix, Linux, etc. In addition to the computer program that can be used to complete the bridge construction monitoring method based on digital twins performed by the electronic device 20 disclosed in any of the aforementioned embodiments, the computer program 222 can further include computer programs that can be used to complete other specific tasks.

[0110] Furthermore, the present application also discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, the bridge construction monitoring method based on digital twin disclosed above is implemented. For the specific steps of the method, reference may be made to the corresponding contents disclosed in the aforementioned embodiments, and no further description will be given here.

[0111] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0112] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0113] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0114] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0115] The technical solution provided by the present application is introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea. At the same time, for general technicians in this field, according to the idea of ​​the present application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A bridge construction monitoring method based on digital twins, characterized in that: include: Collecting construction environment data for a preset construction environment, so as to construct a virtual construction site according to the collected construction environment data; Collecting equipment information of the construction equipment, and obtaining positioning data of the construction equipment in real time through a preset positioning sensor in the construction equipment; Generate positioning information based on the positioning data, so as to determine the real-time posture information of the construction equipment through the positioning information and the equipment information; Collecting a real-time construction image of the preset construction environment, determining a real-time bridge erection point based on the real-time construction image, and generating bridge tracking information according to the real-time bridge erection point; A bridge construction model based on digital twins is constructed based on the virtual construction site, the positioning information, the real-time posture information and the bridge tracking information, and remote real-time monitoring is performed based on the bridge construction model.

2. The bridge construction monitoring method based on digital twin according to claim 1 is characterized in that: The collecting of construction environment data for the preset construction environment to construct a virtual construction site according to the collected construction environment data includes: Scanning the terrain and fixed buildings of a preset construction environment by a preset scanning device based on a preset time frequency to obtain construction environment data of the preset construction environment; If the construction environment data is the construction environment data collected for the first time, constructing a virtual construction site mapped with the terrain and the fixed building based on the construction environment data; If the construction environment data is not the construction environment data collected for the first time, the virtual construction site is updated based on the construction environment data.

3. The bridge construction monitoring method based on digital twin according to claim 1 is characterized in that: The collecting of equipment information of the construction equipment and obtaining the positioning data of the construction equipment in real time through a preset positioning sensor in the construction equipment includes: Collecting component information and profile information of the construction equipment to generate equipment information of the construction equipment according to the component information and the profile information; If a work start signal of the construction equipment is received, the positioning data of the construction equipment is collected in real time through a preset positioning sensor in the construction equipment.

4. The bridge construction monitoring method based on digital twin according to claim 1 is characterized in that: Determining the real-time posture information of the construction equipment through the positioning information and the equipment information includes: Determine the real-time component position of the construction equipment through the positioning information, so as to determine the real-time posture of the construction equipment through the real-time component position; The real-time posture information of the construction equipment is generated according to the real-time posture of the construction equipment.

5. The bridge construction monitoring method based on digital twin according to claim 1 is characterized in that: The collecting of the real-time construction image of the preset construction environment to determine the real-time bridge erection point based on the real-time construction image, and generating bridge tracking information according to the real-time bridge erection point, includes: Based on a plurality of preset angles, real-time construction images corresponding to the preset construction environment are collected; the plurality of preset angles are at least three different angles; Identifying elements in the real-time construction image to obtain a number of construction elements, and classifying the number of construction elements to obtain classified construction elements; The classified construction elements are positioned to determine real-time bridge erection points, and bridge erection information is determined based on the real-time bridge erection points to generate bridge tracking information based on the bridge erection information; the bridge tracking information is information that characterizes changes in bridge erection.

6. The bridge construction monitoring method based on digital twin according to claim 1 is characterized in that: The step of constructing a bridge construction model based on a digital twin based on the virtual construction site, the positioning information, the real-time posture information, and the bridge tracking information, and performing remote real-time monitoring according to the bridge construction model, includes: Mapping the positioning information, the real-time posture information and the bridge tracking information to the virtual construction site to obtain a target virtual construction site filled with data; A bridge construction model based on digital twin is constructed according to the target virtual construction site, so as to perform remote real-time monitoring according to the bridge construction model.

7. The bridge construction monitoring method based on digital twin according to any one of claims 1 to 6, characterized in that: After constructing a bridge construction model based on a digital twin based on the virtual construction site, the positioning information, the real-time posture information, and the bridge tracking information, and performing remote real-time monitoring according to the bridge construction model, the method further includes: Building a risk fence corresponding to the construction equipment in the bridge construction model based on a preset risk range; If the construction equipment is in working state, determining the real-time position of the construction personnel based on the real-time construction image; If the real-time location is within the risk fence, warning information is generated to issue a risk warning based on the warning information.

8. A bridge construction monitoring device based on digital twin, characterized in that: include: A virtual site construction module is used to collect construction environment data for a preset construction environment, so as to construct a virtual construction site according to the collected construction environment data; A positioning information determination module, used to collect equipment information of the construction equipment, and obtain the positioning data of the construction equipment in real time through a preset positioning sensor in the construction equipment; A posture information determination module, used to generate positioning information based on the positioning data, so as to determine the real-time posture information of the construction equipment through the positioning information and the equipment information; A tracking information acquisition module, used to collect real-time construction images of the preset construction environment, to determine real-time bridge erection points based on the real-time construction images, and to generate bridge tracking information according to the real-time bridge erection points; A remote monitoring module is used to build a bridge construction model based on digital twins based on the virtual construction site, the positioning information, the real-time posture information and the bridge tracking information, and to perform remote real-time monitoring based on the bridge construction model.

9. An electronic device, characterized in that: include: Memory, used to store computer programs; A processor, used to execute the computer program to implement the bridge construction monitoring method based on digital twins as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: Used to store a computer program, wherein when the computer program is executed by a processor, the bridge construction monitoring method based on digital twins as described in any one of claims 1 to 7 is implemented.

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