Method for Automatically Attributing and Installing Sub - projects Based on System Codes and Device Codes

Abstract

The present invention provides a method for automatically attributing and installing sub-projects based on system codes and device codes. Through the division of the project and the allocation of various codes reflecting the corresponding components, devices, personnel, and construction time of the project, two simulation progress simulations, namely manual and intelligent, are realized in the three-dimensional model, thereby obtaining an optimizable project progress design scheme and a scientific, efficient, safe, and responsibility-traceable sub-project scheme with traceable project quality.

Description

Technical Field

[0001] The present invention relates to a method for attributing and installing sub-projects, and particularly to a method for automatically attributing and installing sub-projects based on system codes and device codes. Background Art

[0002] For large-scale projects such as automotive, aviation, aerospace, nuclear power plants and other large-scale projects, the installation process is complex and involves tens of thousands of components. Therefore, how to systematically, traceably and timely complete the project installation has become a scientific problem. The prior art sets attributes for components, mounts the attributes to sub-projects of installation, and associates them through cost analysis, system codes and device codes to obtain sub-projects. It only associates some projects with construction methods and costs, and does not sort out a complete and reasonable construction method for the whole project. Therefore, it cannot reflect the scientific order from bottom to top among various parts, nor can it reflect the construction personnel of the project, and it cannot achieve real-name responsibility traceability for all detailed processes of the project. Nor can it improve and update the existing method for attributing and installing sub-projects. Although it can achieve automation, it cannot implement Over-the-Air (OTA) technology to complete the practical optimization of sub-projects.

[0003] Therefore, how to reflect the installation relationship between subsystems within a complex engineering system, reasonably arrange, and ensure the responsibility of sub-projects has become an urgent problem to be solved. Summary of the Invention

[0004] In order to solve the problem in the prior art that the installation sequence of the whole project cannot be solved, the present invention provides a method for automatically attributing and installing sub-projects based on system codes and device codes, including designing three-dimensional model drawings of the project, constructing the first codes for each sub-project of the project in each direction, further decomposing the sub-projects into the next-level branch projects, constructing branch codes for the branch projects, then further decomposing the branch projects into part projects, constructing part codes for the part projects, and finally further decomposing the part projects into detail projects, constructing detail codes for the detail projects, setting corresponding second codes for the equipment, materials and engineering personnel required for the sub-projects, branch projects, part projects and detail projects, and constructing time codes for each sub-project, branch project, part project and detail project to correspond to the time nodes expected to be completed for each project, constructing three-dimensional models of the equipment, materials and engineering personnel, and respectively assigning corresponding second codes.

[0005] According to the optionally selected post-installation contact positions or at the designed proximity positions, detail codes are assigned to the 3D models of detail components in the detail engineering. Then, at least one of the 3D models between the part engineering, branch engineering, and sub-project engineering is respectively assigned at least one detail code, part code, branch code, and first code at the post-installation contact positions or at the designed proximity positions. And / or, taking the 3D models of the four types of engineering, namely detail engineering, part engineering, branch engineering, and sub-project engineering, as the core assignment objects, at least one detail code, part code, branch code, and first code are respectively assigned at the post-installation contact positions or at the designed proximity positions between each type of engineering and the 3D models of at least one other type of engineering.

[0006] For example, taking the detail engineering as the core assignment object, detail codes are assigned to both the detail engineering and the part engineering that are in contact with or in proximity to the detail engineering in the part engineering. Similarly, for another example, if there is contact between the part engineering and the branch engineering, taking the part engineering as the core assignment object, part codes are assigned to both the part engineering and the branch engineering.

[0007] And time codes and second codes are assigned to at least one of the detail engineering, part engineering, branch engineering, and sub-project engineering, and the codes assigned at the above-mentioned contact positions or proximity positions in the detail engineering, part engineering, branch engineering, and sub-project engineering are associated.

[0008] Then, when carrying out the installation sub-project, the engineering progress is simulated in the order of detail engineering, part engineering, branch engineering, and sub-project engineering or in the order of the designed association, and it is compared with the actual engineering progress to analyze the engineering progress.

[0009] Optionally, in one embodiment, the simulation of the engineering progress includes: calling the detail code and the corresponding time code, and according to the association between the detail codes and the time codes required for the installation of each detail component, simulating the installation of all detail components to complete their detail attribution. Then, continue to call the part code, branch code, first code, and their corresponding time codes in sequence, and according to the association between the part code, branch code, first code and their corresponding time codes, respectively simulate the engineering progress of the installation of all parts, branches, and sub-projects to complete their attribution.

[0010] It can be understood that the setting of each code, the physical assignment of the 3D model, and the association can simulate the 3D engineering progress under the time code without errors and in an orderly manner.

[0011] In another embodiment, the simulated project progress includes that different engineers use a remote server to perform the attribution installation operation of the 3D model for the artificial 3D model respectively, record the associations of the detail code, part code, branch code, and the first code given during the operation process, record the order of different associations completed by different engineers, assign a time code to each association, perform project progress simulation through the remote server according to the order of different associations, record the total completion time, establish an artificial intelligence model, use the total completion time as a label to learn the order of associations, so as to obtain an intelligent project progress simulation model. The engineer inputs the designed order of associations into the intelligent project progress simulation model to obtain the corresponding predicted total completion time.

[0012] By sampling the order of associations of different engineers, the understandings of different schools of thought regarding the overall installation of the project are obtained, and then artificial intelligence is used for learning to optimize the best project progress.

[0013] Specifically, the artificial intelligence model includes a convolutional neural network. Each pair of associations is pixelated, and multiple pixels are arranged in order according to the order of associations to form a two-dimensional image. Through the correspondence between the two-dimensional image and the corresponding total completion time, the convolutional neural network is used for image training and classification of the total completion time.

[0014] For complex projects, there are a wide variety of types of association orders, which are very suitable for predicting the total completion time through the conversion of two-dimensional images.

[0015] Optionally, the method of establishing associations is that after the engineer drags the corresponding components of each project into place during the attribution installation operation, when the corresponding code on the core assignment object flashes, stop dragging at this time, and the flashing code can be associated with the code on the components of this project or other various projects. Specifically, an association table can be established to complete the mapping of the associated codes in the table.

[0016] Optionally, the code on the core assignment object and the code on the components in the associated project are uniformly represented by to represent the association, and the code is associated with the code , and the representation is marked on the nodes of the designed order of associations, with the core assignment object as the node. Thus, the visualization of the installation operation is realized.

[0017] Optionally, the actual project progress is completed according to the following steps:

[0018] S1 Allocate project personnel, arrange electronic tags for each project personnel, and input the second code corresponding to the project personnel into the electronic tag;

[0019] Engineering personnel in S2 execute corresponding detailed projects, part projects, branch projects, and sub-projects according to the engineering progress arrangement of the simulation (which can be executed sequentially), and record the equipment and materials;

[0020] Engineering personnel in S3 record the completion progress of each working day, and when the affiliated project is completed or when the completion progress is recorded, communicate with the remote server through an electronic tag to confirm the completion of the affiliated project or upload the records of the equipment and materials and the completion progress. The remote server records the second code of the engineering personnel and associates the detailed code, part code, branch code, and the first code corresponding to the engineering personnel.

[0021] Optionally, the records of the equipment and materials are obtained by scanning the equipment and materials with an electronic tag.

[0022] Optionally, the materials include various profiles, fasteners, structural fittings, electronic fittings, and material substances involved in other physical and chemical processes, etc., and the equipment includes mechanical equipment, instruments, etc.

[0023] Optionally, the specific simulation of the engineering progress is carried out in the order of the associated optimization design and the re-prediction of the artificial intelligence model after inputting into the artificial intelligence model according to the associated order of the designed association. Specifically, it is to download the artificial intelligence model from the remote server and complete the order of the associated optimization design.

[0024] The analysis of the engineering progress includes the analysis of the completion progress of each working day, the analysis of the completion time of the detailed project, part project, branch project, and sub-project, and the analysis of the total completion time.

[0025] Optionally, the analysis of the completion progress of each working day includes using a pre-established prediction model to predict the time when the detailed project, part project, branch project, and sub-project of the working day can be completed for the uploaded multiple completion progresses. The analysis of the completion time of the detailed project, part project, branch project, and sub-project includes comparing the achievable time with the corresponding time codes of each project. If it exceeds the first positive threshold, it means the progress is slow. If it is less than the first negative threshold, it means there is a probability of early completion. Between the first positive threshold and the first negative threshold, it means on-time completion. The analysis of the total completion time includes comparing the prediction result of the convolutional neural network with the actual total completion time. If it exceeds the second positive threshold, it means the completion is slow. If it is less than the first negative threshold, it means it has been completed in advance. Between the second positive threshold and the second negative threshold, it means on-schedule completion.

[0026] Optionally, based on the analysis result of the engineering progress analysis, the remote server confirms the analysis of the human reasons for the slow or early completion of the project duration based on the second code of the engineering personnel, records the completion progress record corresponding to the early completion, analyzes the reasons for the early completion, and optimizes the time code based on this.

[0027] It is easy to understand that the optimized project duration can be considered from the time code through the overall planning mathematical method, and the associated sequence, that is, the sequence of each project, can be optimized through the design of the artificial intelligence model. The human reasons for the early and lagging completion of the project duration are analyzed by using the electronic tags and the record of the completion progress. The installation sub-projects are completed from bottom to top in terms of process, time arrangement, and human factors.

[0028] Preferably, during the process of the installation sub-projects belonging from bottom to top, the remote server is used to adjust the associated sequence of the design, and the optimized time code is used to continuously retrain the artificial intelligence model to achieve the update of the artificial intelligence model.

[0029] It should be understood that through the remote OTA of the remote server, the download of the artificial intelligence model for optimizing the use of the associated sequence of the design is realized, and the associated sequence of the design is carried out locally during the project construction.

[0030] Optionally, the remote server also has a cost calculation module for engineering personnel to download and calculate the costs of each detailed project, part project, branch project, and sub-project.

[0031] Beneficial effects: The project is divided and various codes are assigned to realize the artificial and intelligent two-progress simulations of the 3D model, so that the sub-projects can be continuously optimized, and a scientific, efficient, safe, and responsible project progress design is realized. Brief Description of the Drawings

[0032] Figure 1 The overall flow chart of the method for automatically attributing installation sub-projects based on the system code and device code in the present invention

[0033] Figure 2 The diagram of the assignment of each code in the sub-project method and the state diagram after association in the example of automobile assembly

[0034] Figure 3 For Figure 2 The schematic diagram of the assignment of the time code and the second code in the three-branch project of the electronic control system sub-project in

[0035] Figure 4 Taking Figure 3 The schematic diagrams before and after the association of branch code 6 and branch code 7 during the installation operation of the engineer taking the three-branch project in

[0036] Figure 5A bottom-up designed associated sequence diagram with associated representations of relevant codes marked on it.

[0037] Figure 6 Process diagram for two-dimensional image construction

[0038] Figure 7 Another flowchart for establishing a simulation progress model, which shows a cyclic design scheme for the order associated with the optimal design.

[0039] Figure 8 Actual project progress flowchart. Among them, the reference numerals 1 - 17 are the sequence numbers of each code. Detailed implementation mode

[0040] As Figure 1 shown, a method for automatically attributing and installing sub-projects based on system codes and device codes includes designing three-dimensional model drawings of the project, constructing the first codes for each sub-project of the project, further decomposing the sub-project into the next-level branch projects, constructing the branch codes of the branch projects, then further decomposing the branch projects into part projects, constructing the part codes of the part projects, and finally decomposing the part projects into detail projects and constructing the detail codes of the detail projects. Assign corresponding second codes to the equipment, materials, and engineering personnel required for the sub-projects, branch projects, part projects, and detail projects, and construct the time codes for each sub-project, branch project, part project, and detail project to correspond to the expected completion time nodes of each project. Construct three-dimensional models of the equipment, materials, and engineering personnel and assign the corresponding second codes respectively.

[0041] As Figure 2 shown, construct the order of assignment of each code and its association with the design. Taking automobile assembly as an example, Figure 2 each of the codes 1 - code 17 assigned to the corresponding contact or proximity positions in the middle box frame, chassis, drive shaft, control console, vehicle electronic system, headrest, backrest, seat adjustment, control console, axle, and wheel. Among them, the red ones are detail codes, the cyan ones are part codes, and the green and brown ones are branch codes. Detail code 8 and detail code 9 are respectively assigned to the headrest and backrest as detail components in the seat part project. The box frame, chassis, control console, and seat are part project components and belong to several branch projects of the support component system sub-project, and are assigned part code 1, part code 2, part code 4, part code 5, and part code 12; the vehicle electronic system, seat adjustment, and control console belong to three branch projects of the electronic control system sub-project and are respectively assigned the green branch code 6, branch code 10, and branch code 13; and on the control console, seat, and door ( Figure 2Corresponding branch codes 7, branch code 11, and branch code 14 are respectively set on (not shown). The drive shaft, axle, and wheel belong to another branch project of the transmission system sub-project, and are given branch codes 2, branch code 16, and branch code 15 in brown. Each of the support member system sub-project, electronic control system sub-project, and transmission system sub-project is set with a first code. However, the sub-projects are not given codes because the detail codes, part codes, and branch codes are sufficient to support the sub-category attribution of the vehicle assembly project. Therefore, through the design of assigning multi-level codes, it is also possible to flexibly select according to the level of detail of the engineering system division.

[0042] Figure 3 gives Figure 2 a schematic illustration of the assignment of the second code and time code for a three-branch project in the electronic control system sub-project. Three-dimensional models of equipment, materials, and engineering personnel are given corresponding second codes. Figure 3 A in [reference] gives the process of assigning the second code for engineering personnel and equipment. Figure 3 B in [reference] gives the assignment of the second code for two materials, the hub and the tire, in the wheel. On the remote server, the association is completed through the second code and the three-branch project.

[0043] After the assignment of each code for the components of each project is completed, the engineer can associate the codes. One implementation is to find the corresponding relationship between the space coordinates of each code through the space coordinate system established in the three-dimensional model of the contact and proximity positions as shown in Figure 2 to achieve the association. Call the time code, and the detail code, part code, and branch code to complete the Figure 1 simulation project progress of the attribution installation described in [reference].

[0044] For example, according to the detail code assigned and associated and the time code assigned for the installation of the headrest and backrest in the detail project, simulate the installation process of this detail project, and the time required for this process corresponds to the time code to achieve the progress simulation of the detail project. The same applies to other types of projects for simulation. The simulation process can be fast-forwarded through the remote server.

[0045] Another implementation is the attribution installation operation of the three-dimensional model on the remote server. For example, Figure 4 drag the vehicle-mounted electronic system in Figure 2 with the mouse. When reaching the associated position, the code on the core assignment object flashes. In Figure 4 it is Figure 2 the branch code 6 in [reference] that flashes. At this time, release the mouse, stop dragging, and the association is automatically completed. The engineer makes an association annotation according to the associated sequence nodes designed.

[0046] Figure 5Gives the associated order of a bottom-up design by engineers, starting from the cargo rack, installing it on the chassis, according to Figure 2 , mark (1, 2) on the cargo rack. Part code 1 represents the core-assigned object, the cargo rack, and part code 2 represents the chassis. After dragging the cargo rack into place in the way such as Figure 4 , part code 1 flashes. Stop dragging to complete the association, and mark (1, 2) on the node of the core-assigned object, the cargo rack. Similarly, mark (2, 3), (4, 5), (6, 7), (8, 9), (10, 11), (12, 2), (13, 14), (16, 17), (15, 16) on the drive shaft, console, vehicle electronic system, headrest backrest, seat adjustment, seat and chassis, control console, axle, and wheel. Thus, record the associated order (2, 3), (4, 5), (6, 7), (8, 9), (10, 11), (12, 2), (13, 14), (16, 17), (15, 16). Arrange them into a two-dimensional array according to the Figure 6 row sequence direction and column sequence direction. After pixelation, form a two-dimensional image. Among them, the two-dimensional image pixelates the pixels of the order of other existing nodes represented by three points in the row and column directions.

[0047] Thus, as Figure 7 shown, different engineers, through the above-mentioned attribution installation operations, obtain different associated orders, and thus obtain corresponding different multiple two-dimensional images. Then train them in the convolutional neural network CNN, using the total completion time as the label, to obtain the predicted total completion time (classification) of the training. Obtain the engineering progress simulation model (i.e., the trained CNN). Then input the associated order of the design into the engineering progress simulation model to obtain the predicted total completion time, and then continuously cycle through design optimization and input into the engineering progress simulation model to predict the new total completion time. Until the most optimized associated order of the design is obtained.

[0048] Regarding the actual engineering progress, it is completed according to the following steps as Figure 8 shown:

[0049] S1 Allocate engineering personnel, arrange electronic tags for each engineering personnel, and enter the corresponding second code of the engineering personnel into the electronic tags;

[0050] S2 The engineering personnel execute the corresponding detailed engineering, part engineering, branch engineering, and sub-engineering in sequence according to the simulated engineering progress arrangement, and record the equipment and materials;

[0051] S3 engineering personnel record the completion progress of each working day. When the affiliated project is completed or the completion progress is recorded, they communicate with the remote server through an electronic tag to confirm the completion of the affiliated project or upload the records and the completion progress of the equipment and materials. The remote server records the second code of the engineering personnel and associates the detail code, part code, branch code, and the first code corresponding to the engineering personnel.

[0052] Among them, the red underlines are executed in the order associated with the optimal design implemented according to the simulation project progress, that is, in accordance with the loop optimization method including Figure 7 The order of the optimal design implemented according to the loop optimization method including

[0053] The analysis of the completion progress for each working day includes using a pre-established prediction model to predict the time when the detailed project, part project, branch project, and sub-project of the working day can be completed for the uploaded multiple completion progress. The analysis of the completion time of the detailed project, part project, branch project, and sub-project includes comparing the time that can be completed with the corresponding time codes of each project. If it exceeds the first positive threshold, it means the progress is slow; if it is less than the first negative threshold, it means there is a probability of early completion; between the first positive threshold and the first negative threshold, it means on-time completion. The analysis of the total completion time includes comparing the prediction result of the convolutional neural network with the actual total completion time. If it exceeds the second positive threshold, it means the completion is slow; if it is less than the first negative threshold, it means it has been completed in advance; between the second positive threshold and the second negative threshold, it means on-schedule completion.

[0054] Based on the analysis result of the project progress analysis, the remote server confirms the analysis of the human reasons for slow or early completion of the project duration based on the second code of the engineering personnel, records the completion progress record corresponding to the early completion, analyzes the reasons for the early completion, and optimizes the time code based on this.

[0055] The remote server also has a cost calculation module for engineering personnel to download and calculate the costs of each detailed project, part project, branch project, and sub-project. Therefore, different project association code designs and sequence designs can save different costs. Therefore, through the method of automatically attributing the installation sub-project based on the system code and equipment code of the present invention, the scientific, traceable, and safe implementation of the installation sub-project is realized.

Claims

1. A method for automatically assigning installation sub-projects based on system codes and equipment codes, characterized in that: It includes designing the three-dimensional model drawings of the project, constructing the first codes of the sub-projects of the project, further decomposing the sub-projects into the next-level branch projects, constructing the branch codes of the branch projects, further decomposing the branch projects into parts projects, constructing the parts codes of the parts projects, and finally decomposing the parts projects into detail projects, constructing the detail codes of the detail projects, setting the corresponding second codes for the equipment, materials, and engineering personnel required for the sub-projects, branch projects, parts projects, and detail projects, and constructing the time codes of each sub-project, branch project, parts project, and detail project to correspond to the time nodes expected to be completed for each project, constructing the three-dimensional models of the equipment, materials, and engineering personnel, and assigning the corresponding second codes respectively; Assign detail codes to the three-dimensional models of detail parts in detail engineering according to the optional contact position after installation or the designed close distance position, and then assign at least one detail code, part code, branch code, and first code to at least one of the three-dimensional models of part engineering, three-dimensional models of branch engineering, and three-dimensional models of sub-engineering in the contact position after installation or the designed close distance position, and / or, with the three-dimensional models of four types of engineering, namely, detail engineering, part engineering, branch engineering, and sub-engineering, as the core assignment object, assign at least one detail code, part code, branch code, and first code to the contact position after installation between each type of engineering and at least one other engineering three-dimensional model or the designed close distance position; And assign the time code and the second code to at least one of the detail project, the part project, the branch project, and the sub-project, and associate the codes assigned to the above-mentioned contact position or proximity distance position in the detail project, the part project, the branch project, and the sub-project; When the sub-projects of installation are then carried out, the progress of the project is simulated in the order of detail project, parts project, branch project, sub-project or the order of the designed association, and the progress is compared with the actual progress of the project to analyze the progress of the project; The engineering progress according to the simulation is specifically carried out in the order of the association of the design after the artificial intelligence model is input, and then the design optimization is cyclically performed and the artificial intelligence model predicts the optimal design in the order of association, specifically downloading the artificial intelligence model from the remote server and completing the optimal design association order.

2. The method according to claim 1, characterized in that The simulation project progress includes calling the detail code and the corresponding time code, completing the simulation of the detailed installation of all detail components according to the association between the detail codes and the time code required for the installation of each detail component, and then continuing to call the part code, branch code, first code and each corresponding time code in sequence, and completing the simulation project progress of the installation of all parts, branches and sub-projects according to the association between the part code, branch code, first code and each corresponding time code.

3. The method according to claim 1, characterized in that The simulation project progress includes that different engineers use the remote server to perform the attribution installation operations of the three-dimensional model respectively, and record the association of the detail code, part code, branch code, and first code assigned during the operation, and record the order of different associations completed by different engineers, assign a time code to each association, and simulate the project progress through the remote server according to the order of different associations, record the total completion time, establish an artificial intelligence model, use the total completion time as a label, learn the order of associations, and thus obtain an intelligent project progress simulation model. The engineering personnel input the designed order of associations into the intelligent project progress simulation model to obtain the corresponding total completion time prediction.

4. The method according to claim 3, characterized in that The artificial intelligence model includes a convolutional neural network, which pixelates each pair of associations and arranges multiple pixels in sequence according to the order of association to form a two-dimensional image. The convolutional neural network is used to train the image and classify the total completion time by corresponding the two-dimensional image and the corresponding total completion time.

5. The method according to claim 4, characterized in that The method of association is that after the engineer drags the corresponding components of each project into place during the attribution installation operation, when the corresponding code on the corresponding core assigned object flashes, stop dragging, and the flashing code can be associated with the code on the components of this project or other types of projects.

6. The method according to claim 5, characterized in that The core gives the code on the object The code on the component in the associated project Unified Indicates the association, indicating code Associated code , and will indicate Mark on the associated sequential nodes of the design and give the core object as the node.

7. The method according to claim 4, characterized in that The actual project progress is completed in the following steps: S1 allocates engineering personnel, arranges electronic tags for each engineering personnel, and enters the second code corresponding to the engineering personnel into the electronic tag; S2 engineering personnel, according to the simulated engineering schedule, perform corresponding detail engineering, parts engineering, branch engineering, sub-engineering, and record equipment and materials; S3 engineering personnel record the completion progress of each working day, and when the assigned project is completed or the completion progress is recorded, the electronic tag communicates with the remote server to confirm the completion of the assigned project or upload the record and completion progress of the equipment and materials. The remote server records the second code of the engineering personnel and associates the detail code, part code, branch code and the first code corresponding to the engineering personnel.

8. The method according to claim 7, characterized in that The recording equipment and materials are obtained by scanning the equipment and materials with electronic tags; the analysis of the project progress includes the analysis of the completion progress of each working day, the analysis of the completion time of the detail project, parts project, branch project, and sub-project, and the analysis of the total completion time.

9. The method according to claim 8, characterized in that The analysis of the completion progress of each working day includes using a pre-established prediction model to predict the time when the detailed engineering, parts engineering, branch engineering, and sub-engineering described in the working day can be completed by using the uploaded multiple completion progress. The analysis of the completion time of the detailed engineering, parts engineering, branch engineering, and sub-engineering includes comparing the time that can be completed with the corresponding time code of each project. If it exceeds the first positive threshold, it means that the progress is slow, and if it is less than the first negative threshold, it means that there is a probability of early completion. If it is between the first positive threshold and the first negative threshold, it means that it is completed on time; the analysis of the total completion time includes comparing the prediction result of the convolutional neural network with the actual total completion time. If it exceeds the second positive threshold, it means that the completion is slow, and if it is less than the first negative threshold, it means that it has been completed ahead of schedule. If it is between the second positive threshold and the second negative threshold, it means that it is completed on schedule; The remote server confirms the human cause analysis of slow or early completion of the construction period based on the analysis results of the project progress and the second code of the engineering personnel, records the completion progress record corresponding to the early completion, analyzes the reasons for the early completion, and optimizes the time code based on this; in the process of attributing the installation sub-projects from bottom to top, the remote server is used to adjust the order of design associations, and the optimized time code is used to continuously retrain the artificial intelligence model to achieve the update of the artificial intelligence model.

10. The method according to claim 8 or 9, characterized in that: The remote server also has a cost calculation module for engineering personnel to download and calculate the cost of each detail project, part project, branch project, and sub-project.

Images