Construction site digital twin modeling method and system

Abstract

The invention relates to the technical field of digital modeling, and particularly discloses a construction site digital twin modeling method and system, and the method comprises the steps: obtaining the construction range and construction personnel of each construction project in a construction process, and activating detection equipment in the construction range based on the construction personnel; the method comprises the following steps: acquiring construction data generated in a construction process in real time by detection equipment, and constructing a digital twinborn model containing sub-regions; the sub-areas correspond to all construction ranges; identifying the digital twinborn model, and determining the risk degree of each sub-region; and determining a display parameter of the sub-region based on the risk degree. According to the method, the detection point is activated according to the declaration information of the construction project, the field information of the important scene is acquired, the digital twinborn model is constructed according to the field information, in addition, for each construction field, the field information is subjected to risk identification, display parameter determination and highlighted display, and the intuition degree is further improved.

Description

Technical Field

[0001] The present invention relates to the technical field of digital modeling, and in particular to a construction site digital twin modeling method and system. Background Art

[0002] A construction site refers to a construction site where construction activities such as house building, civil engineering, equipment installation, pipeline laying, etc. for industrial and civil projects are carried out, and the construction sites occupied with approval and the places where people carry out safe production, civilized work, and construction; during the construction process, management personnel are required to conduct regular monitoring, and the existing monitoring method is still in the video stage, obtaining video through cameras, and the video reflects the actual status; this method has a very low level of intelligence and is not very intuitive. With the development of digital twin technology, it is entirely possible to build a digital twin model of the construction site. When monitoring, management personnel can use relevant equipment to obtain on-site information in an immersive way; therefore, how to build a digital twin model of the construction site based on digital twin technology is the technical problem that the technical solution of the present invention wants to solve. Summary of the Invention

[0003] The purpose of the present invention is to provide a construction site digital twin modeling method and system to solve the problems raised in the above background technology.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] A construction site digital twin modeling method, the method comprising:

[0006] Obtain the construction scope and construction personnel of each construction project during the construction process, and activate the detection equipment based on the construction personnel within the construction scope;

[0007] The detection equipment acquires the construction data generated during the construction process in real time and constructs a digital twin model containing sub-areas corresponding to the respective construction areas;

[0008] Identify the digital twin model to determine the danger level of each sub-area;

[0009] The display parameters of the sub-area are determined based on the risk level, and the display model at each moment is obtained by combining the display parameters and the digital twin model, and sent to the display device; the display parameters include the color value and the time difference of the display content.

[0010] As a further solution of the present invention, the step of obtaining the construction scope and construction personnel of each construction project during the construction process, and activating the detection equipment based on the construction personnel within the construction scope includes:

[0011] Query the declaration information of each construction project during the construction process, and obtain the construction scope and construction personnel;

[0012] Select two mutually perpendicular directions in the construction range, obtain the maximum length of the construction range in the two mutually perpendicular directions, and determine two mutually perpendicular dividing lines;

[0013] Query the personal information of construction personnel, output the personnel capability table, and adjust the inspection density based on the personnel capability table; the initial value of the inspection density is the preset value;

[0014] Based on the adjusted detection density, reference points are evenly set on two mutually perpendicular cutting lines, parallel lines are constructed based on the reference points, and the intersection of the parallel lines is selected as the detection point;

[0015] Generate a detection instruction pointing to the detection point and send it to the detection device; when the detection device is a range-type device, generate an accuracy improvement instruction pointing to the detection point; when the detection device is a single-point device, generate an activation instruction; the range-type device includes at least a camera, and the single-point device includes at least a temperature sensor.

[0016] As a further solution of the present invention, the step of acquiring the construction data generated during the construction process in real time by the detection equipment and constructing a digital twin model containing the sub-areas includes:

[0017] Receive the temperature including time and location uploaded by the temperature sensor and build a temperature layer;

[0018] Establish a connection channel with the camera system, obtain regional panoramic video, and build a basic model based on the regional panoramic video;

[0019] Receive construction images uploaded from inspection points containing time and location, and modify the basic model based on the construction images to obtain the 3D model at each moment;

[0020] Insert the temperature layer into the 3D model based on the time mapping relationship to obtain a digital twin model;

[0021] The correction process records the mapping area of ​​the construction image in the basic model, merges the mapping areas with connectivity, and obtains sub-areas;

[0022] The construction process of the temperature layer is:

[0023] Where R(m,n,l) is the diffusion temperature at point (m,n,l) in the three-dimensional array, N and M are the number of detection points in two perpendicular directions; K is a preset constant, d is the distance between the detection point (i,j) and the point (m,n,l), and T(i,j) is the temperature at the detection point (i,j).

[0024] As a further solution of the present invention: the step of identifying the digital twin model and determining the risk level of each sub-area includes:

[0025] Intercept different sub-areas in the digital twin model and query the project type corresponding to the sub-area;

[0026] Search for standard models in the preset model library based on project type;

[0027] The intercepted sub-region and the queried standard model are both vectorized and converted into two vector sets;

[0028] Compare the vector set and calculate the similarity between the sub-region and the queried standard model;

[0029] The danger level of each sub-region is determined based on the calculated similarity.

[0030] As a further solution of the present invention: the process of vectorization processing includes:

[0031] Select the origin in the sub-area according to the preset direction;

[0032] Select an end point on the outline of the sub-region according to the preset step size, connect the origin and the end point to obtain a vector;

[0033] Count the vectors and get a vector set;

[0034] The similarity calculation process includes:

[0035] Select a vector set as the benchmark vector set, calculate the similarity between each vector in it and each vector in the other vector set, and select the maximum similarity;

[0036] When each benchmark vector in the benchmark vector set obtains a maximum similarity, the mean of the maximum similarities is calculated and the final similarity is obtained by dividing the mean by the total number of vectors in the larger vector set;

[0037] The process of determining the danger level of each sub-region based on the calculated similarity includes:

[0038] The final mean of the similarities is calculated, and the risk level is determined based on the inverse ratio of the final mean of the similarities.

[0039] As a further solution of the present invention, the step of determining the display parameters of the sub-area based on the risk level, combining the display parameters with the digital twin model to obtain the display model at each moment, and sending the display model to the display device includes:

[0040] Input the risk level into the trained numerical conversion model to obtain the display parameters;

[0041] Read the digital twin model at each moment, insert the display parameters into the digital twin model according to the time mapping relationship, and obtain the display model;

[0042] Send the display model to the display device.

[0043] The technical solution of the present invention also provides a construction site digital twin modeling system, the system comprising:

[0044] The detection equipment activation module is used to obtain the construction scope and construction personnel of each construction project during the construction process, and activate the detection equipment based on the construction personnel within the construction scope;

[0045] A digital model building module is used to acquire construction data generated during the construction process in real time using detection equipment to build a digital twin model containing sub-areas corresponding to each construction area;

[0046] A digital model recognition module is used to identify the digital twin model and determine the danger level of each sub-area;

[0047] A modeling and display module is used to determine the display parameters of the sub-area based on the risk level, combine the display parameters and the digital twin model to obtain the display model at each moment, and send it to the display device; the display parameters include the color value and the time difference of the display content.

[0048] As a further solution of the present invention: the detection device activation module includes:

[0049] The declaration information query unit is used to query the declaration information of each construction project during the construction process and obtain the construction scope and construction personnel;

[0050] A dividing line determination unit is used to select two mutually perpendicular directions in the construction range, obtain the maximum length of the construction range in the two mutually perpendicular directions, and determine two mutually perpendicular dividing lines;

[0051] A detection density determination unit is used to query the personal information of construction personnel, output a personnel capability table, and adjust the detection density based on the personnel capability table; the initial value of the detection density is a preset value;

[0052] A reference point setting unit is used to evenly set reference points on two mutually perpendicular cutting lines based on the adjusted detection density, construct parallel lines based on the reference points, and select the intersection of the parallel lines as the detection point;

[0053] An activation instruction generation unit is used to generate a detection instruction pointing to a detection point and send it to a detection device; when the detection device is a range-type device, an accuracy improvement instruction pointing to the detection point is generated; when the detection device is a single-point device, an activation instruction is generated; the range-type device includes at least a camera, and the single-point device includes at least a temperature sensor.

[0054] As a further solution of the present invention: the digital model construction module includes:

[0055] A temperature layer generation unit is used to receive the temperature including time and location uploaded by the temperature sensor and build a temperature layer;

[0056] A basic model generation unit is used to establish a connection channel with the camera system, obtain a panoramic video of the area, and build a basic model based on the panoramic video of the area;

[0057] The basic model correction unit is used to receive the construction images containing time and location uploaded at the detection point, and correct the basic model based on the construction images to obtain the three-dimensional model at each moment;

[0058] A layer insertion unit is used to insert the temperature layer into the three-dimensional model based on the time mapping relationship to obtain a digital twin model;

[0059] The correction process records the mapping area of ​​the construction image in the basic model, merges the mapping areas with connectivity, and obtains sub-areas;

[0060] The construction process of the temperature layer is:

[0061] Where R(m,n,l) is the diffusion temperature at point (m,n,l) in the three-dimensional array, N and M are the number of detection points in two perpendicular directions; K is a preset constant, d is the distance between the detection point (i,j) and the point (m,n,l), and T(i,j) is the temperature at the detection point (i,j).

[0062] As a further solution of the present invention: the digital model recognition module includes:

[0063] The region interception unit is used to intercept different sub-regions in the digital twin model and query the project type corresponding to the sub-region;

[0064] A standard model query unit, used to query standard models in a preset model library based on project type;

[0065] A vector conversion unit is used to perform vectorization processing on the intercepted sub-region and the queried standard model, and convert them into two vector sets;

[0066] A comparison calculation unit is used to compare the vector set and calculate the similarity between the sub-region and the queried standard model;

[0067] The risk calculation unit is used to determine the risk of each sub-region according to the calculated similarity.

[0068] Compared with the existing technology, the beneficial effects of the present invention are: the present invention activates detection points according to the declared information of the construction project, obtains on-site information of important scenes, and constructs a digital twin model based on the on-site information. In addition, for each construction site, the on-site information is identified for risks, display parameters are determined, and highlighted, further improving the intuitiveness. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention.

[0070] Figure 1 A flowchart of the construction site digital twin modeling method.

[0071] Figure 2 This is the first sub-process flowchart of the construction site digital twin modeling method.

[0072] Figure 3 This is the second sub-process flowchart of the construction site digital twin modeling method.

[0073] Figure 4 This is the third sub-process flowchart of the construction site digital twin modeling method.

[0074] Figure 5 This is the fourth sub-process flowchart of the construction site digital twin modeling method.

[0075] Figure 6 This is the structural block diagram of the construction site digital twin modeling system. DETAILED DESCRIPTION

[0076] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0077] Figure 1 This is a flowchart of a construction site digital twin modeling method. In an embodiment of the present invention, a construction site digital twin modeling method includes:

[0078] Step S100: Obtain the construction scope and construction personnel of each construction project during the construction process, and activate the detection equipment based on the construction personnel within the construction scope;

[0079] The existing construction structure is to establish a project before work begins. Before construction, construction workers are required to upload a construction plan, which includes what construction work will be carried out in what location and how many construction workers will be required. Then, after the management personnel approve it, the construction workers carry out construction according to the construction plan. The technical solution of the present invention obtains the construction scope and construction workers of each construction project in the construction process, and activates the detection equipment based on the construction workers within the construction scope.

[0080] Step S200: Using detection equipment to acquire construction data generated during the construction process in real time, and constructing a digital twin model containing sub-regions corresponding to the respective construction areas;

[0081] The detection equipment includes some sensors and visual acquisition equipment. In the examples of the technical solution of the present invention, the sensors are mostly temperature sensors, and the visual acquisition equipment are mostly cameras installed in the construction site. If there are other sensors or visual acquisition equipment, their work processes are similar and will not be repeated in this invention. The detection equipment obtains the construction data generated during the construction process in real time to build a digital twin model. The construction scope of each construction project corresponds to a sub-area in the digital twin model.

[0082] Step S300: Identify the digital twin model and determine the danger level of each sub-area;

[0083] The digital twin model is extremely intuitive, allowing observers to view the construction status very conveniently and intuitively. By identifying each sub-area in the digital twin model, the danger level of each sub-area can be determined. It should be noted that the danger level is determined by both sensor data and visual data. In actual applications, the type of sensor data may not be unique, and the visual data may be acquired in multiple bands.

[0084] Step S400: Determine the display parameters of the sub-area based on the risk level, combine the display parameters with the digital twin model to obtain the display model at each moment, and send it to the display device; the display parameters include the color value and the time difference of the display content;

[0085] The display parameters of the sub-area are determined based on the calculated degree of danger. The display parameters can be understood as a visual prompt signal, such as a timed flashing layer under a red hue. The specific correspondence is pre-set by the staff. For the technical solution of the present invention, it can be directly read. The display parameters are input into the digital twin model to obtain the display model at each moment. After sending it to the display device, it will be displayed.

[0086] Figure 2This is a flowchart of the first sub-process of the construction site digital twin modeling method. The steps of obtaining the construction scope and construction personnel of each construction project during the construction process and activating detection equipment based on the construction personnel within the construction scope include:

[0087] Step S101: Query the declaration information of each construction project during the construction process to obtain the construction scope and construction personnel;

[0088] Step S102: Select two mutually perpendicular directions in the construction range, obtain the maximum length of the construction range in the two mutually perpendicular directions, and determine two mutually perpendicular dividing lines;

[0089] Step S103: querying the personal information of the construction personnel, outputting the personnel capability table, and adjusting the detection density based on the personnel capability table; the initial value of the detection density is a preset value;

[0090] Step S104: evenly setting reference points on two mutually perpendicular dividing lines based on the adjusted detection density, constructing parallel lines based on the reference points, and selecting the intersection of the parallel lines as the detection point;

[0091] Step S105: Generate a detection instruction pointing to the detection point and send it to the detection device; when the detection device is a range-type device, generate an accuracy improvement instruction pointing to the detection point; when the detection device is a single-point device, generate an activation instruction; the range-type device includes at least a camera, and the single-point device includes at least a temperature sensor.

[0092] In an example of the technical solution of the present invention, the activation process of the detection equipment is explained, and the declaration information of each construction project in the construction process is queried. For the technical solution of the present invention, this is defaulted to known data, and the construction scope and construction personnel are obtained in the declaration information. Two rows of mutually perpendicular parallel lines are constructed within the construction scope, and the intersection of the parallel lines is used as the detection point; wherein, the construction process of the parallel lines is to first determine two mutually perpendicular directions, query the maximum length within the operating range in the two mutually perpendicular directions, determine the baseline, and then evenly select points on the baseline according to the detection density, and finally construct multiple rows of parallel lines with the points; this process is equivalent to constructing a grid within the construction scope; specifically, the detection density indicates how many detection points there are within a unit length of the parallel lines, and it is also related to the construction personnel. The personal information of the construction personnel is queried, and the personnel capability table is output. The detection density is adjusted based on the personnel capability table. The stronger the personnel capability, the safer the construction process is by default, the less content needs to be detected, and the smaller the detection density.

[0093] After the detection point is determined, a detection instruction pointing to the detection point is generated and sent to the detection device. It is worth mentioning that the technical solution of the present invention involves two types of detection devices, one is a sensor, called a single-point device, and the other is a camera, called a range-type device. When the detection device is a range-type device, an accuracy improvement instruction pointing to the detection point is generated. Taking the camera as an example, it is used to improve the detection accuracy of the camera at the detection point; when the detection device is a single-point device, an activation instruction is generated to control the sensor to perform the detection process; in the technical solution of the present invention, the range-type device at least includes a camera, and the single-point device at least includes a temperature sensor.

[0094] Figure 3 This is a flowchart of the second sub-process of the construction site digital twin modeling method. The steps of acquiring construction data generated during the construction process in real time by the detection equipment and constructing a digital twin model containing sub-areas include:

[0095] Step S201: receiving the temperature including time and location uploaded by the temperature sensor and constructing a temperature layer;

[0096] Step S202: establishing a connection channel with the camera system, acquiring a panoramic video of the area, and constructing a basic model based on the panoramic video of the area;

[0097] Step S203: receiving the construction images uploaded at the inspection point containing time and location, and modifying the basic model based on the construction images to obtain the three-dimensional models at each moment;

[0098] Step S204: inserting the temperature layer into the three-dimensional model based on the time mapping relationship to obtain a digital twin model;

[0099] The correction process records the mapping area of ​​the construction image in the basic model, merges the mapping areas with connectivity, and obtains sub-areas.

[0100] In an example of the technical solution of the present invention, the construction process of the digital twin model is described. The temperature containing time and location uploaded by the temperature sensor is received, and a temperature layer is constructed. The process of constructing the temperature layer can introduce a simulation process. Because the temperature sensor is a single-point detection, and the temperature layer completely covers the entire space, the introduction of the simulation process can expand the limited temperature to the global temperature. Then, a connection channel with the camera system is established to obtain a regional panoramic video, and a basic model is constructed based on the regional panoramic video. The accuracy of the full-view video is conventional accuracy. The constructed basic model is fast but not accurate. The construction image containing time and location uploaded at the detection point is received. The construction image has higher accuracy. The basic model is corrected based on the construction image, so that the degree of refinement of some areas in the basic model becomes higher. The basic model after refinement of some areas is a three-dimensional model. Since the construction image has time information, the three-dimensional model created based on the construction image at different times also has a time tag. Finally, the temperature layer is inserted into the three-dimensional model at the corresponding time according to its time to obtain a digital twin model.

[0101] Specifically, the construction process of the temperature layer is:

[0102] Where R(m,n,l) is the diffusion temperature at point (m,n,l) in the three-dimensional array, N and M are the number of detection points in two perpendicular directions; K is a preset constant, d is the distance between the detection point (i,j) and the point (m,n,l), and T(i,j) is the temperature at the detection point (i,j).

[0103] Figure 4 This is a third sub-flow chart of the construction site digital twin modeling method. The steps of identifying the digital twin model and determining the danger level of each sub-area include:

[0104] Step S301: intercepting different sub-areas in the digital twin model and querying the project types corresponding to the sub-areas;

[0105] Step S302: searching for a standard model in a preset model library based on the project type;

[0106] Step S303: performing vectorization processing on both the intercepted sub-region and the queried standard model, and converting them into two vector sets;

[0107] Step S304: Compare the vector set and calculate the similarity between the sub-region and the queried standard model;

[0108] Step S305: Determine the risk level of each sub-region based on the calculated similarity.

[0109] In an example of the technical solution of the present invention, the sub-region identification process is described in detail. Different sub-regions are intercepted in the digital twin model, and the project type corresponding to the sub-region is queried. The standard model of each project type is a pre-statistical model. The intercepted sub-region and the queried standard model are both vectorized and converted into two vector sets. The two vector sets are compared, and the obtained similarity is used as the similarity between the sub-region and the queried standard model; wherein, the number of standard models may not be unique, and there may be multiple calculated similarities. The danger level of each sub-region is determined based on the calculated similarities.

[0110] Specifically, the vectorization process includes:

[0111] An origin is selected in the sub-region according to a preset direction; an end point is selected on the outline of the sub-region according to a preset step size, and the origin and the end point are connected to obtain a vector; and the vector is counted to obtain a vector set.

[0112] According to the preset direction, the absolute direction is generally used, such as the bottom, westernmost, and northernmost points. Regardless of the model, its absolute direction is the same, so the selected origin is as consistent as possible. Then, the end point is selected on the outline of the sub-area, and the origin and end point are connected to obtain a vector; the vector is counted to obtain a vector set;

[0113] For the standard model, the conversion method used is similar, and the conversion process of the standard model can be carried out in advance, that is, the preprocessing stage. In actual application, it can be directly read.

[0114] Regarding the similarity calculation process, it is actually the similarity between two vector sets. One vector set is selected as the baseline vector set, and the similarity between each vector in it and each vector in the other vector set is calculated, and the maximum similarity is selected; when each baseline vector in the baseline vector set obtains a maximum similarity, the mean of the maximum similarities is calculated, and the mean is divided by the total number of vectors in the larger vector set to obtain the final similarity.

[0115] Finally, the process of determining the danger level of each sub-region based on the calculated similarity includes:

[0116] The final mean of the similarities is calculated, and the risk is determined according to the inverse ratio of the final mean of the similarities. The practical significance of this is that the higher the similarity between the sub-region and the standard model, the lower the risk.

[0117] Figure 5 This is a fourth sub-flow diagram of the construction site digital twin modeling method. The steps of determining the display parameters of the sub-area based on the risk level, combining the display parameters and the digital twin model to obtain the display model at each moment, and sending the display model to the display device include:

[0118] Step S401: input the risk level into the trained numerical conversion model to obtain display parameters;

[0119] Step S402: Read the digital twin model at each moment, insert the display parameters into the digital twin model according to the time mapping relationship, and obtain the display model;

[0120] Step S403: Send the display model to the display device.

[0121] In an example of the technical solution of the present invention, the display process is described, and the hazard level is input into a trained numerical conversion model to obtain display parameters. Generally, the numerical conversion model is just a function that converts the hazard level into transparency, and then other values ​​(hue and flashing frequency, etc.) can be preset values. Of course, managers can set more complex rules. These are all conditional statements, which are very simple, such as when the hazard level reaches a certain level, the display starts or the flashing is triggered; the digital twin model at each moment is read, and the display parameters are inserted into the digital twin model according to the time mapping relationship to obtain the display model, and the display model is sent to the display device for display.

[0122] Figure 6 The following is a structural block diagram of a construction site digital twin modeling system. In an embodiment of the present invention, a construction site digital twin modeling system 10 includes:

[0123] The detection equipment activation module 11 is used to obtain the construction scope and construction personnel of each construction project during the construction process, and activate the detection equipment based on the construction personnel within the construction scope;

[0124] The digital model building module 12 is used to acquire construction data generated during the construction process in real time using detection equipment to build a digital twin model containing sub-areas corresponding to each construction area;

[0125] A digital model recognition module 13 is used to recognize the digital twin model and determine the risk level of each sub-area;

[0126] The modeling and display module 14 is used to determine the display parameters of the sub-area based on the risk level, combine the display parameters and the digital twin model to obtain the display model at each moment, and send it to the display device; the display parameters include the color value and the time difference of the display content.

[0127] Furthermore, the detection device activation module 11 includes:

[0128] The declaration information query unit is used to query the declaration information of each construction project during the construction process and obtain the construction scope and construction personnel;

[0129] A dividing line determination unit is used to select two mutually perpendicular directions in the construction range, obtain the maximum length of the construction range in the two mutually perpendicular directions, and determine two mutually perpendicular dividing lines;

[0130] A detection density determination unit is used to query the personal information of construction personnel, output a personnel capability table, and adjust the detection density based on the personnel capability table; the initial value of the detection density is a preset value;

[0131] A reference point setting unit is used to evenly set reference points on two mutually perpendicular cutting lines based on the adjusted detection density, construct parallel lines based on the reference points, and select the intersection of the parallel lines as the detection point;

[0132] An activation instruction generation unit is used to generate a detection instruction pointing to a detection point and send it to a detection device; when the detection device is a range-type device, an accuracy improvement instruction pointing to the detection point is generated; when the detection device is a single-point device, an activation instruction is generated; the range-type device includes at least a camera, and the single-point device includes at least a temperature sensor.

[0133] Specifically, the digital model building module 12 includes:

[0134] A temperature layer generation unit is used to receive the temperature including time and location uploaded by the temperature sensor and build a temperature layer;

[0135] A basic model generation unit is used to establish a connection channel with the camera system, obtain a panoramic video of the area, and build a basic model based on the panoramic video of the area;

[0136] The basic model correction unit is used to receive the construction images containing time and location uploaded at the detection point, and correct the basic model based on the construction images to obtain the three-dimensional model at each moment;

[0137] A layer insertion unit is used to insert the temperature layer into the three-dimensional model based on the time mapping relationship to obtain a digital twin model;

[0138] The correction process records the mapping area of ​​the construction image in the basic model, merges the mapping areas with connectivity, and obtains sub-areas;

[0139] The construction process of the temperature layer is:

[0140] Where R(m,n,l) is the diffusion temperature at point (m,n,l) in the three-dimensional array, N and M are the number of detection points in two perpendicular directions; K is a preset constant, d is the distance between the detection point (i,j) and the point (m,n,l), and T(i,j) is the temperature at the detection point (i,j).

[0141] Furthermore, the digital model recognition module package 13 includes:

[0142] The region interception unit is used to intercept different sub-regions in the digital twin model and query the project type corresponding to the sub-region;

[0143] A standard model query unit, used to query standard models in a preset model library based on project type;

[0144] A vector conversion unit is used to perform vectorization processing on the intercepted sub-region and the queried standard model, and convert them into two vector sets;

[0145] A comparison calculation unit is used to compare the vector set and calculate the similarity between the sub-region and the queried standard model;

[0146] The risk calculation unit is used to determine the risk of each sub-region according to the calculated similarity.

[0147] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A construction site digital twin modeling method, characterized in that: The method comprises: Obtain the construction scope and construction personnel of each construction project during the construction process, and activate the detection equipment based on the construction personnel within the construction scope; The detection equipment acquires the construction data generated during the construction process in real time and constructs a digital twin model containing sub-areas corresponding to the respective construction areas; Identify the digital twin model to determine the danger level of each sub-area; The display parameters of the sub-area are determined based on the risk level, and the display model at each moment is obtained by combining the display parameters and the digital twin model, and sent to the display device; the display parameters include the color value and the time difference of the display content.

2. The construction site digital twin modeling method according to claim 1, characterized in that: The steps of obtaining the construction scope and construction personnel of each construction project during the construction process and activating the detection equipment based on the construction personnel within the construction scope include: Query the declaration information of each construction project during the construction process, and obtain the construction scope and construction personnel; Select two mutually perpendicular directions in the construction range, obtain the maximum length of the construction range in the two mutually perpendicular directions, and determine two mutually perpendicular dividing lines; Query the personal information of construction personnel, output the personnel capability table, and adjust the inspection density based on the personnel capability table; the initial value of the inspection density is the preset value; Based on the adjusted detection density, reference points are evenly set on two mutually perpendicular cutting lines, parallel lines are constructed based on the reference points, and the intersection of the parallel lines is selected as the detection point; Generate a detection instruction pointing to the detection point and send it to the detection device; when the detection device is a range-type device, generate an accuracy improvement instruction pointing to the detection point; when the detection device is a single-point device, generate an activation instruction; the range-type device includes at least a camera, and the single-point device includes at least a temperature sensor.

3. The construction site digital twin modeling method according to claim 1, characterized in that: The steps of acquiring the construction data generated during the construction process in real time by the detection equipment and constructing a digital twin model containing the sub-areas include: Receive the temperature including time and location uploaded by the temperature sensor and build a temperature layer; Establish a connection channel with the camera system, obtain regional panoramic video, and build a basic model based on the regional panoramic video; Receive construction images uploaded from inspection points containing time and location, and modify the basic model based on the construction images to obtain the 3D model at each moment; Insert the temperature layer into the 3D model based on the time mapping relationship to obtain a digital twin model; The correction process records the mapping area of ​​the construction image in the basic model, merges the mapping areas with connectivity, and obtains sub-areas; The construction process of the temperature layer is: Where R(m,n,l) is the diffusion temperature at point (m,n,l) in the three-dimensional array, N and M are the number of detection points in two perpendicular directions; K is a preset constant, d is the distance between the detection point (i,j) and the point (m,n,l), and T(i,j) is the temperature at the detection point (i,j).

4. The construction site digital twin modeling method according to claim 1, characterized in that: The step of identifying the digital twin model and determining the danger level of each sub-area includes: Intercept different sub-areas in the digital twin model and query the project type corresponding to the sub-area; Search for standard models in the preset model library based on project type; The intercepted sub-region and the queried standard model are both vectorized and converted into two vector sets; Compare the vector set and calculate the similarity between the sub-region and the queried standard model; The danger level of each sub-region is determined based on the calculated similarity.

5. The construction site digital twin modeling method according to claim 4, characterized in that: The vectorization process includes: Select the origin in the sub-area according to the preset direction; Select an end point on the outline of the sub-region according to the preset step size, connect the origin and the end point to obtain a vector; Count the vectors and get a vector set; The similarity calculation process includes: Select a vector set as the benchmark vector set, calculate the similarity between each vector in it and each vector in the other vector set, and select the maximum similarity; When each benchmark vector in the benchmark vector set obtains a maximum similarity, the mean of the maximum similarities is calculated and the final similarity is obtained by dividing the mean by the total number of vectors in the larger vector set; The process of determining the danger level of each sub-region based on the calculated similarity includes: The final mean of the similarities is calculated, and the risk level is determined based on the inverse ratio of the final mean of the similarities.

6. The construction site digital twin modeling method according to claim 1, characterized in that: The step of determining the display parameters of the sub-area based on the risk level, combining the display parameters with the digital twin model to obtain the display model at each moment, and sending the display model to the display device includes: Input the risk level into the trained numerical conversion model to obtain the display parameters; Read the digital twin model at each moment, insert the display parameters into the digital twin model according to the time mapping relationship, and obtain the display model; Send the display model to the display device.

7. A construction site digital twin modeling system, characterized by: The system comprises: The detection equipment activation module is used to obtain the construction scope and construction personnel of each construction project during the construction process, and activate the detection equipment based on the construction personnel within the construction scope; A digital model building module is used to acquire construction data generated during the construction process in real time using detection equipment to build a digital twin model containing sub-areas corresponding to each construction area; A digital model recognition module is used to identify the digital twin model and determine the danger level of each sub-area; A modeling and display module is used to determine the display parameters of the sub-area based on the risk level, combine the display parameters and the digital twin model to obtain the display model at each moment, and send it to the display device; the display parameters include the color value and the time difference of the display content.

8. The construction site digital twin modeling system according to claim 7, characterized in that: The detection device activation module includes: The declaration information query unit is used to query the declaration information of each construction project during the construction process and obtain the construction scope and construction personnel; A dividing line determination unit is used to select two mutually perpendicular directions in the construction range, obtain the maximum length of the construction range in the two mutually perpendicular directions, and determine two mutually perpendicular dividing lines; A detection density determination unit is used to query the personal information of construction personnel, output a personnel capability table, and adjust the detection density based on the personnel capability table; the initial value of the detection density is a preset value; A reference point setting unit is used to evenly set reference points on two mutually perpendicular cutting lines based on the adjusted detection density, construct parallel lines based on the reference points, and select the intersection of the parallel lines as the detection point; An activation instruction generation unit is used to generate a detection instruction pointing to a detection point and send it to a detection device; when the detection device is a range-type device, an accuracy improvement instruction pointing to the detection point is generated; when the detection device is a single-point device, an activation instruction is generated; the range-type device includes at least a camera, and the single-point device includes at least a temperature sensor.

9. The construction site digital twin modeling system according to claim 7, characterized in that: The digital model building module includes: A temperature layer generation unit is used to receive the temperature including time and location uploaded by the temperature sensor and build a temperature layer; A basic model generation unit is used to establish a connection channel with the camera system, obtain a panoramic video of the area, and build a basic model based on the panoramic video of the area; The basic model correction unit is used to receive the construction images containing time and location uploaded at the detection point, and correct the basic model based on the construction images to obtain the three-dimensional model at each moment; A layer insertion unit is used to insert the temperature layer into the three-dimensional model based on the time mapping relationship to obtain a digital twin model; The correction process records the mapping area of ​​the construction image in the basic model, merges the mapping areas with connectivity, and obtains sub-areas; The construction process of the temperature layer is: Where R(m,n,l) is the diffusion temperature at point (m,n,l) in the three-dimensional array, N and M are the number of detection points in two perpendicular directions; K is a preset constant, d is the distance between the detection point (i,j) and the point (m,n,l), and T(i,j) is the temperature at the detection point (i,j).

10. The construction site digital twin modeling system according to claim 7, characterized in that: The digital model recognition module includes: The region interception unit is used to intercept different sub-regions in the digital twin model and query the project type corresponding to the sub-region; A standard model query unit, used to query standard models in a preset model library based on project type; A vector conversion unit is used to perform vectorization processing on the intercepted sub-region and the queried standard model, and convert them into two vector sets; A comparison calculation unit is used to compare the vector set and calculate the similarity between the sub-region and the queried standard model; The risk calculation unit is used to determine the risk of each sub-region according to the calculated similarity.

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