Data management method, system and equipment based on infrastructure equipment and medium

Abstract

The invention provides a data management method and system based on infrastructure equipment, equipment and a medium, and the method comprises the steps: carrying out the integration processing of the basic data of the infrastructure equipment, so as to obtain first basic data; performing data quality review on the first basic data based on a preset verification rule to obtain target basic data; and uploading the target basic data to a digital delivery platform. According to the method, all data of the whole project construction period from the project starting period to the project delivery period are integrated and subjected to data quality inspection processing, the states and operation conditions of infrastructure equipment in different project construction stages can be monitored and found in real time, faults and problems are found in time, corresponding maintenance measures are taken, and the maintenance efficiency is improved. The data management efficiency of different stages of project construction is improved, and the data maintenance and management cost is reduced.

Description

Technical Field

[0001] This application belongs to the technical field of infrastructure management, and relates to a data management method based on infrastructure equipment, in particular to a data management method, system, device and medium based on infrastructure equipment. Background Art

[0002] The life cycle of infrastructure is extremely complex. However, humans' understanding of the infrastructure life cycle has only been around for the past few decades, mainly because humans have limited mastery, utilization, and reuse of infrastructure data. With the rapid development of social digitalization and intelligence, the widespread application of new technologies such as AI and 5G, and the rapid growth of data volume brought about by a large number of intelligent hardware and applications, the types of infrastructure data have become increasingly diverse. Due to these limitations, globally, the costs of infrastructure construction and infrastructure data management are rising day by day, yet the efficiency of infrastructure construction and infrastructure data management has not been significantly improved. Summary of the Invention

[0003] The purpose of this application is to provide a data management method, system, device and medium based on infrastructure equipment, which is used to solve the problems of low data management efficiency and high cost of infrastructure equipment in the prior art.

[0004] In the first aspect, this application provides a data management method based on infrastructure equipment. The data management method based on infrastructure equipment includes: integrating and processing the basic data of infrastructure equipment to obtain first basic data; performing data quality review on the first basic data based on a preset verification rule to obtain target basic data; and uploading the target basic data to a digital delivery platform.

[0005] In one implementation manner of the first aspect, the integrating and processing the basic data of infrastructure equipment to obtain first basic data includes: obtaining the original basic data of the infrastructure equipment; and integrating and processing the original basic data to obtain first basic data.

[0006] In one implementation manner of the first aspect, the basic data of the infrastructure equipment includes all data during the entire project construction period from the start of the project to the project delivery period; the basic data of the infrastructure equipment includes one or more of library files, factory object lists and attribute files, 3D design models, supplier models, intelligent files and documents, and associated relationship files.

[0007] In an implementation of the first aspect, when the basic data of the infrastructure device is a document and an associated relationship file, the basic data of the infrastructure device includes a non-scanned document file and a scanned document file; when the basic data of the infrastructure device is a non-scanned document file, the basic data of the infrastructure device is subjected to document organization and coding processing to obtain second basic data; when the basic data of the infrastructure device is a scanned document file, the basic data of the infrastructure device is subjected to document organization and coding processing to obtain third basic data; an associated relationship file compilation process is performed on the third basic data to obtain fourth basic data.

[0008] In an implementation of the first aspect, based on a preset verification rule, data quality review is performed on the second basic data and / or the fourth basic data to obtain target basic data; the target basic data is uploaded to a digital delivery platform.

[0009] In an implementation of the first aspect, the preset verification rule is a target object list, and the generation of the target object list includes the following steps: obtaining an initial target infrastructure device; performing numbering and classification processing on the initial target infrastructure device based on a preset delivery rule to obtain a first set of target infrastructure devices; obtaining a corresponding first object list based on the first set of target infrastructure devices; performing integration processing on the first object list to obtain an integrated version of the first object list; performing compliance review processing on the integrated version of the first object list to obtain a target object list.

[0010] In an implementation of the first aspect, the data quality review of the first basic data based on a preset verification rule to obtain target basic data includes: obtaining the first basic data and the preset verification rule; performing data integrity and compliance verification on the first basic data based on the preset verification rule to obtain a verification result; obtaining the target basic data based on the verification result.

[0011] In a second aspect, the present application provides a data management system based on an infrastructure device. The data management system based on an infrastructure device includes: an integration module for performing integration processing on the basic data of the infrastructure device to obtain first basic data; a verification module for performing data quality review on the first basic data based on a preset verification rule to obtain target basic data; an upload module for uploading the target basic data to a digital delivery platform.

[0012] In a third aspect, the present application provides an electronic device, which includes: a memory and a processor; wherein, the memory is used for storing a computer program; the processor is used for loading and executing the computer program so that the electronic device executes the data management method based on infrastructure equipment as described above.

[0013] In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by an electronic device, it implements the data management method based on infrastructure equipment as described above.

[0014] As described above, a data management method, system, device and medium based on infrastructure equipment according to the present application have the following beneficial effects:

[0015] By integrating all the data during the entire project construction period from the start to the delivery of the project and performing data quality review processing, the present application can monitor and discover the status and operation of infrastructure equipment at different stages of project construction in real time, timely detect faults and problems, and take corresponding maintenance measures, improving the data management efficiency at different stages of project construction and reducing the data maintenance and management costs. At the same time, during the data management stage, the present application can also use data analysis and mining technologies to conveniently formulate more reasonable and effective decision-making schemes, providing a scientific basis for decision-makers. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1A It shows a schematic diagram of the application scenario of the data management method for infrastructure equipment according to an embodiment of the present application.

[0017] Figure 1B It shows a schematic diagram of the implementation route of the digital delivery project according to an embodiment of the present application.

[0018] Figure 2 It shows a schematic flowchart of the data management method based on infrastructure equipment according to an embodiment of the present application.

[0019] Figure 3 It shows a schematic flowchart of the basic data integration process of infrastructure equipment according to an embodiment of the present application.

[0020] Figure 4 It shows a schematic flowchart of the data management method for non-scanned document files according to an embodiment of the present application.

[0021] Figure 5 It shows a schematic flowchart of the data management method for scanned document files according to an embodiment of the present application.

[0022] Figure 6 It shows a schematic flowchart of the generation of the target object list according to an embodiment of the present application.

[0023] Figure 7 It shows a schematic flow chart of data quality review for the first basic data described in the embodiments of the present application.

[0024] Figure 8 It shows a schematic flow chart of the class library creation and maintenance process described in the embodiments of the present application.

[0025] Figure 9A It shows a schematic flow chart of data management before the delivery of the factory object list described in the embodiments of the present application.

[0026] Figure 9B It shows a schematic diagram of online collaborative editing and verification of data described in the embodiments of the present application.

[0027] Figure 9C It shows a schematic flow chart of the package equipment splitting described in the embodiments of the present application.

[0028] Figure 9D It shows a schematic flow chart of the tag splitting example described in the embodiments of the present application.

[0029] Figure 10A It shows a schematic flow chart of the compliance and integrity verification example of the factory object attribute data described in the embodiments of the present application.

[0030] Figure 10B Shown as Figure 10A a schematic diagram of the verification result in

[0031] Figure 10C It shows a schematic flow chart of the compliance verification of the factory object tag described in the embodiments of the present application.

[0032] Figure 11A It shows a schematic flow chart of data management before the model delivery described in the embodiments of the present application.

[0033] Figure 11B It shows a schematic flow chart of the compliance verification of the model attributes described in the embodiments of the present application.

[0034] Figure 11C It shows a schematic diagram of the display of the integrity verification chart of the model attributes described in the embodiments of the present application.

[0035] Figure 11D It shows a schematic diagram of the three-dimensional model reading interface described in the embodiments of the present application.

[0036] Figure 12 It shows a schematic flow chart of data management before the intelligent file delivery described in the embodiments of the present application.

[0037] Figure 13It shows a schematic flow diagram of data management before the delivery of the document and related relationship files described in the embodiments of the present application.

[0038] Figure 14 It shows a detailed schematic flow diagram of the delivery of factory object data described in the embodiments of the present application.

[0039] Figure 15 It shows a schematic structural diagram of a data management system based on infrastructure equipment described in the embodiments of the present application.

[0040] Figure 16 It shows a schematic structural diagram of an electronic device described in the embodiments of the present application.

[0041] Description of component numbers

[0042] 100 Data management system based on infrastructure equipment

[0043] 110 Integration module

[0044] 120 Verification module

[0045] 130 Upload module

[0046] 200 Electronic device

[0047] 210 Memory

[0048] 220 Processor

[0049] Steps S1 to Sn Detailed implementation manners

[0050] The following uses specific specific examples to illustrate the implementation manners of the present application. Those skilled in the art can easily understand other advantages and effects of the present application from the content disclosed in this specification. The present application can also be implemented or applied through other different specific implementation manners. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present application. It should be noted that, without conflict, the following embodiments and the features in the embodiments can be combined with each other.

[0051] It should be noted that the diagrams provided in the following embodiments only illustrate the basic concept of the present application in a schematic manner. Therefore, only the components related to the present application are shown in the diagrams, rather than being drawn according to the number, shape, and size of the components in actual implementation. The type, quantity, and ratio of each component in actual implementation can be arbitrarily changed, and the component layout type may also be more complex.

[0052] The following embodiments of the present application provide a data management method, system, device, and medium based on infrastructure equipment, which solve the problems of low data management efficiency and high cost in the prior art for infrastructure equipment.

[0053] As Figure 1A shown, this embodiment provides a hardware application scenario for a data management method based on infrastructure equipment, specifically including: infrastructure equipment and a digital delivery platform. The infrastructure equipment includes, but is not limited to, equipment and facilities of infrastructure such as buildings, bridges, tunnels, roads, railways, pipelines, etc. The basic data of the infrastructure equipment includes all data during the entire project construction period from the project start to project delivery, that is, the digital achievement files of each unit at different stages of project construction. Through integrating and processing these digital achievement files of each unit at different stages of project construction and a series of verification and review, they are delivered to the digital delivery platform. After the digital achievement files of each unit at different stages of project construction are delivered to the engineering digital receiving platform, after the user completes the quality review of the file content and data on the engineering digital receiving platform, the digital application platform integrates the latest digital delivery results to establish a three-dimensional digital factory application environment, and develops various digital application functions during the project construction period and production operation period for users to use.

[0054] Taking the project process as the time axis, the entire digital delivery work is corresponding to each stage of the engineering construction project. The principle is to be synchronized with each stage of engineering construction, such as 30%, 60%, 90% model delivery, pre-delivery of detailed design archiving, accompanying delivery of equipment supplier materials, overall delivery within 3 months after completion, etc.

[0055] The digital delivery general contracting team assists the user in controlling the entire project, such as formulating digital delivery standards, implementation plans, delivery data quality supervision, and delivery progress control, etc. The implementation roadmap of the digital delivery project is as Figure 1B shown.

[0056] Infrastructure equipment: includes, but is not limited to, equipment and facilities of infrastructure such as buildings, bridges, tunnels, roads, railways, pipelines, etc.

[0057] Next, the technical solutions in the embodiments of the present application will be described in detail with reference to the accompanying drawings in the embodiments of the present application.

[0058] As Figure 2 shown, this embodiment provides a data management method based on infrastructure equipment. The data management method based on infrastructure equipment includes the following steps:

[0059] Step S1, integrate and process the basic data of the infrastructure equipment to obtain the first basic data; wherein, the infrastructure equipment includes, but is not limited to, equipment and facilities of infrastructure such as buildings, bridges, tunnels, roads, railways, pipelines, etc.

[0060] Step S2: Conduct a data quality review on the first basic data based on a preset verification rule to obtain target basic data;

[0061] Step S3: Upload the target basic data to the digital delivery platform.

[0062] Specifically, integrate the digital achievement files (basic data of infrastructure equipment) of each unit at different stages of project construction, and conduct a data quality review on the basic data of these infrastructure equipment based on a preset verification rule. After passing the review, deliver it to the engineering digital delivery platform.

[0063] As Figure 3 shown, in an embodiment of the present application, the step of integrating the basic data of infrastructure equipment to obtain the first basic data includes the following steps:

[0064] Step S11: Obtain the original basic data of the infrastructure equipment;

[0065] Step S12: Integrate and process the original basic data to obtain the first basic data.

[0066] In an embodiment of the present application, the basic data of the infrastructure equipment includes all data during the entire project construction period from the start to the delivery of the project; the basic data of the infrastructure equipment includes one or more of library files, factory object lists and attribute files, 3D design models, supplier models, intelligent files and documents, and associated relationship files.

[0067] Specifically, the library files can be used for the verification rules during the data quality review of the factory object list, and the factory object list can be used for the verification rules during the data quality review of 3D design models, supplier models, intelligent files and documents, and associated relationship files.

[0068] In an embodiment of the present application, when the basic data of the infrastructure equipment is a document and an associated relationship file, the basic data of the infrastructure equipment includes a non-scanned document file and a scanned document file;

[0069] As Figure 4 shown, when the basic data of the infrastructure equipment is a non-scanned document file, the data management method of the non-scanned document file includes the following steps:

[0070] Step S41: Organize and encode the basic data of the infrastructure equipment to obtain second basic data;

[0071] Step S42: Conduct a data quality review on the second basic data based on a preset verification rule to obtain target basic data;

[0072] Step S43: Upload the target basic data to the digital delivery platform.

[0073] As Figure 5 shown, when the basic data of the infrastructure equipment is a document scanned file, the data management method of the document scanned file includes the following steps:

[0074] Step S51: Organize and encode the basic data of the infrastructure equipment to obtain the third basic data;

[0075] Step S52: Compile the associated relationship file for the third basic data to obtain the fourth basic data;

[0076] Step S53: Conduct data quality review on the fourth basic data based on the preset verification rules to obtain the target basic data;

[0077] Step S54: Upload the target basic data to the digital delivery platform.

[0078] Specifically, for a document scanned file, such as a picture, the content in the picture cannot be directly used. It is necessary to organize and encode the document scanned file and compile the associated relationship file to obtain an available file. Then, through data quality review processing on the obtained available file, the target basic data is obtained, and the target basic data is uploaded to the digital delivery platform.

[0079] As Figure 6 shown, in an embodiment of the present application, the preset verification rule is a target object list, and the generation of the target object list includes the following steps:

[0080] Step S61: Obtain the initial target infrastructure equipment;

[0081] Step S62: Number and classify the initial target infrastructure equipment based on the preset delivery rules to obtain the first set of target infrastructure equipment;

[0082] Step S63: Obtain the corresponding first object list based on the first set of target infrastructure equipment;

[0083] Step S64: Integrate the first object list to obtain the integrated version of the first object list;

[0084] Step S65: Conduct compliance review processing on the integrated version of the first object list to obtain the target object list.

[0085] Specifically, the target object list can be a factory object list. Creating a factory object list is to sort out the project factory objects, which determines the specific scope of digital reception and is a prerequisite for carrying out data and material delivery work. Since the factory object tag numbers are mainly provided by the design unit and suppliers, and the construction unit generally does not provide factory object tag numbers, the construction unit is generally not required to do so.

[0086] As Figure 7 shown, in an embodiment of the present application, the data quality review of the first basic data based on a preset verification rule to obtain target basic data includes the following steps:

[0087] Step S21, obtain the first basic data and the preset verification rule;

[0088] Step S22, perform data integrity and compliance verification on the first basic data based on the preset verification rule to obtain a verification result;

[0089] Step S23, obtain the target basic data based on the verification result.

[0090] The following example shows the data management process of basic data based on infrastructure equipment. As Figure 8 、 9A shown in -9D, 10A - 10C, 11A - 11D, 12 - 13.

[0091] Specifically, the class library file defines the factory object classification, classification attributes, dimension, and attribute rules, which are used to organize data and serve as the basis for attribute compliance verification. The class library is the information organizational structure that describes factory objects, including factory object classes, attributes, measurement classes, professional document types, and their association relationships, etc. At the same time, the class library file can also be used as the rule for factory object classification and attribute data verification. When building the engineering digital delivery platform, the initial version of the class library should be created and integrated into the engineering digital delivery platform. With the implementation of the project, the unified regulations for digital delivery may be improved to a certain extent. When the factory object classification and attributes are updated, it will cause the existing project class library to not match the project regulations, and the class library needs to be updated. The creation and management process of the class library file is as Figure 8 shown.

[0092] As Figure 9A shown, it shows a schematic diagram of the data management process before the delivery of the factory object list. By sorting out and receiving the factory object list submitted by the design unit and uploading it to the system, the data compliance and integrity are checked, and the problems are feedback to the design unit for rectification.

[0093] Specifically, the system has multiple built-in data verification rules, including the compliance integrity of factory object attributes, relevant documents and their naming rules, and the requirements for mandatory attributes, etc. The system provides a real-time verification function. After the user edits and saves the data and clicks the verification button, the system automatically verifies the data and generates a verification report (refer to Figure 9B the example described above). The verification results are fed back to the user to help self-check whether the data requirements are met and quickly identify and update problems. As Figure 9B shown, it is a schematic diagram of online collaborative editing and verification of the data described in the embodiment of this application.

[0094] Creating a list of factory objects is to sort out the project's factory objects. It determines the specific scope of digital reception and is a prerequisite for carrying out data and document delivery work. Since the factory object tag numbers are mainly generated by the design unit and suppliers, and the construction unit generally does not generate factory object tag numbers, the construction unit is generally not required to do so.

[0095] (1) Design part

[0096] For the design unit, it should submit all the factory object tag numbers within its design scope to the user and the digital delivery implementation group for review. After confirmation, follow the reviewed and confirmed list to carry out subsequent digital delivery work (as Figure 9A shown).

[0097] (2) Procurement part

[0098] For suppliers, they need to sort out all the contracts signed with the purchaser, confirm the identification codes and classifications of factory objects within the entire supply scope, and form a "List of Factory Objects". After the list of factory objects is completed, it is submitted to the digital design unit for preliminary review and confirmation. After the preliminary review is correct, it is submitted to the user and the digital delivery implementation group for confirmation. The final version is released by the digital delivery implementation group to the engineering digital delivery platform. For the package equipment part, the work of splitting the tag numbers needs to be carried out. As Figure 9C shown, it is a schematic diagram of the package equipment splitting process described in the embodiment of this application.

[0099] 1) Example of tag number splitting (as Figure 9D shown)

[0100] Suppliers of pumps, pump units, and package equipment should split them. The examples are as follows:

[0101] 1. Pumps: Split into pumps and motors;

[0102] 2. Compressor units: The main engine, main motor, oil pump, oil pump motor, oil cooler, water pump, water pump motor, water station cooler, oil injector, oil injector motor, stepless regulation oil station, inlet and outlet buffer tanks for each stage of the compressor, inter-stage coolers for each stage of the compressor, inter-stage liquid separation tanks for each stage of the compressor, and all instrument equipment with tag numbers, etc. are split into individual equipment;

[0103] 3. Package equipment (skid-mounted equipment, complete sets of equipment): All equipment units and instruments in the package are disassembled into individual equipment units.

[0104] All the disassembled equipment units above need to be named with equipment item numbers.

[0105] 2) Organize the list of disassembled package equipment

[0106] According to the disassembly principle of package equipment, organize the list of package equipment as shown in Table 1:

[0107]

[0108] Among them, the classification principle of factory objects and the coding rule of sub-equipment item numbers come from the unified regulations of project digital delivery. The specific classification of factory objects and item numbers are filled in by the supplier, preliminarily reviewed and confirmed by the design unit, and submitted to the user and the digital delivery implementation group for confirmation after the preliminary review is correct.

[0109] For the data management process of factory object attributes before delivery, sort out and receive the factory object attribute tables submitted by the design unit and the supplier, check the data compliance and integrity and upload them to the system, and feedback the existing problems to the design unit and the supplier for rectification.

[0110] For the process of verifying the data compliance and integrity of factory object attributes, the verification of the data compliance and integrity of factory object attributes will follow the verification rules such as the type, dimension, and whether it is mandatory defined in the Intergraph standard. As Figure 10A shown, it shows the schematic diagram of the verification of the data compliance and integrity of the factory object attributes described in the embodiment of the present application. As Figure 10B shown, it shows Figure 10A the schematic diagram of the verification result in

[0111] The software supports the compliance verification of factory object item numbers that do not conform to the numbering rules (as Figure 10C shown), and automatically generates a report on the compliance analysis of item numbers. As Figure 10C shown, it shows the schematic diagram of the verification of the compliance of factory object item numbers described in the embodiment of the present application.

[0112] According to whether the contractor uses other delivery platforms for data organization, it is divided into two operation modes. One is that the engineering contractor organizes data in its own delivery platform, and the contractor can directly deliver the factory object data files that meet the digital delivery standards; for contractors without a delivery platform, they can complete it in the engineering digital delivery platform purchased for this project.

[0113] For the part where the contractor's own delivery platform is not used for organizing delivery information, various information collection tasks are carried out online through the website provided by the bidder or using a data template. After completion, the data is uploaded and submitted to the digital delivery implementation team. After confirmation and verification, the digital delivery implementation team will complete the final release work.

[0114] As Figure 11A shown, it shows a schematic diagram of the data management process before model delivery. There are two sources of models here. One is the 3D design model submitted by the design unit, and the other is the supplier model submitted by the supplier.

[0115] For the data management process before the delivery of the 3D design model, the 3D design model submitted by the design unit is sorted out and received, including data conversion and uploading to the system. Examples of 3D model data formats are shown in Table 2 below.

[0116]

[0117] Table 2

[0118] The design unit uses the design software specified by the project standard for 3D design and submits model deliverables in a fixed format. After a series of verification tasks, after being verified and approved by the digital delivery implementation team, the digital delivery implementation team will complete the final release work. The verification and review by the digital delivery implementation team is the verification of the data compliance and integrity of the 3D design model by the digital delivery implementation team. The process of verifying the data compliance and integrity of the 3D design model is as follows:

[0119] (1) Compliance verification

[0120] The platform supports defining the data requirements for factory object numbers and attributes in the standard library, verifying the data, and helping users pay attention to error information and modify it in a timely manner (as Figure 11B shown, it shows a schematic diagram of the model attribute compliance verification described in the embodiment of the present application). The main functions include:

[0121] a. For factory object numbers that do not conform to the numbering rules, an automatic generation of a number compliance analysis report;

[0122] b. For factory object attributes that do not meet the definitions in the standard library, an automatic generation of an attribute compliance analysis report.

[0123] (2) Integrity verification

[0124] The system supports the integrity verification function, which can verify relevant contents such as attribute data integrity, document association integrity, and 3D model integrity, and can also be visually displayed through charts and other means. As Figure 11C shown, it shows a schematic diagram of the model attribute integrity verification chart display described in the embodiment of the present application.

[0125] For the data management process before the delivery of the supplier model, by sorting out and receiving the refined equipment models submitted by the supplier, including converting data and uploading it to the system. The data format of the supplier model is shown in Table 3 below.

[0126]

[0127] Table 3

[0128] The conversion of data is achieved through a conversion tool. The conversion tool reads various formats of data exported from various 3D models (as Figure 11D shown), and parses the geometric information and attribute parameters therein. As Figure 11D shown, it is a schematic diagram of the 3D model reading interface described in the embodiments of the present application.

[0129] The reader is only responsible for reading the original data and does not make any adjustments to the data to ensure the lossless export of the data. It mainly includes parsing the setting interface list, looping through each element contained in the list, parsing the geometric attributes and engineering attribute values of each element, and storing the results in the gather.db module.

[0130] The supplier uses the design software specified by the project standard for 3D design and submits the model deliverables in a fixed format. After completion, the design unit conducts model integration, mainly including coordinate adjustment, model replacement, etc. After a series of verification work, after being verified and approved by the digital delivery implementation group, the digital delivery implementation group completes the final release work.

[0131] For model integration, Intellitools is used for model integration to integrate the general facility model and the factory object model into the same data file, and uniformly adjust the model coordinates, classification, etc. Among them, Intellitools is a website that provides a series of artificial intelligence tools. Artificial intelligence plays an increasingly important role in today's world. Intellitools provides a multi-functional platform to help users use artificial intelligence technology in various projects. The tools provided by this website include Ai Toolkit, Ai Hub, Futurepedia, etc. These tools can not only help users improve work efficiency, but also provide better data analysis and prediction functions.

[0132] For a series of verification work on the supplier model, including self-check, check, review and other processes, through the self-check, check, review processes, ensure the consistency of the model with the site. The main steps are as follows:

[0133] (1) Self-check

[0134] After the modeling is completed, the modeler conducts self-checks on the coincidence degree between the model and the point cloud, the equipment engineering attributes, the logical association relationships, etc.

[0135] (2) Verification

[0136] The verifier conducts verification work on the model, equipment engineering attributes, logical association relationships, etc. For the non-compliant 3D models, records are made and feedback is given to the modeler for correction. The verifier conducts a recheck on the corrected model until the verification work is passed.

[0137] (3) Review

[0138] The reviewer conducts spot checks on the model by taking on-site photos, measurements, and drawing verification. For the non-compliant 3D models, records are made and feedback is given to the modeler for correction.

[0139] 1) Take photos of the site, check the consistency between the model and the site by comparing the photos with the model, and check for any missing assets;

[0140] 2) Spot-check the engineering attributes of each professional model through drawing materials;

[0141] 3) Measure the lengths of some pipelines, valves, equipment dimensions, structural dimensions, etc. with measuring tools, measure the dimensions at the same positions in the 3D visualization platform, and check whether the dimensions of the model are consistent with the site.

[0142] The verification and review by the digital delivery implementation group is the verification of the data compliance and integrity of the supplier model by the digital delivery implementation group. The process of verifying the data compliance and integrity of the supplier model is the same as that of the 3D design model. For the specific verification process, please refer to the above-mentioned process of verifying the data compliance and integrity of the 3D design model, and no specific elaboration will be made here.

[0143] Specifically, the submitted model deliverables in a fixed format include the 3D design model submitted by the design unit and the supplier model submitted by the supplier. Considering that the design unit and the supplier may upload models through different software or channels, it is necessary to integrate the 3D design model and the supplier model to obtain a general fixed-format model deliverable. After a series of data verification, data integrity and compliance verification work, and after passing the verification, it is uploaded to the engineering digital delivery platform. After being reviewed and approved by the digital delivery implementation group, the digital delivery implementation group completes the final release work. If the verification fails, it is necessary to return to the model database to design the model and reconstruct the model.

[0144] The supplier submits the model file online, and the platform provides upload and download entrances.

[0145] Such as Figure 12As shown in the figure, it shows a schematic diagram of the data management process before intelligent file delivery. By sorting out and receiving intelligent files (taking intelligent P&ID files as an example) submitted by the design unit, including converting data and uploading it to the system. Use intelligent P&ID drawing software to complete the design work of the process piping and instrumentation diagram (P&ID). The pipes, equipment, on-line instruments, etc. in the P&ID meet the requirements of the digital delivery standard. The delivery process is as Figure 12 shown.

[0146] As Figure 13 shown, it shows a schematic diagram of the data management process before the delivery of documents and associated relationship files. By sorting out and receiving the documents and associated relationships submitted by the design unit and the supplier, including converting data and uploading it to the system. Use the engineering digital delivery platform of the tenderer to create document associated relationships. The documents should be non-scanned PDF files. The tag numbers in the documents are required to be consistent with those in the factory object list. For inconsistent parts, associated relationships cannot be generated. In such cases, the relevant design unit needs to modify the documents with non-compliant tag numbers and submit them again after completion, or manually create a document association table and establish associated relationships manually.

[0147] As Figure 14 shown, it shows a schematic diagram of the detailed process of factory data delivery described in the embodiment of the present application. It has been described in detail before and will not be specifically described here.

[0148] In summary, the present application provides a data management method based on infrastructure equipment. By integrating all the data during the entire project construction period from the start of the project to the project delivery period and performing data quality review processing, it can monitor and discover the status and operation conditions of infrastructure equipment at different stages of project construction in real time, timely detect faults and problems, and take corresponding maintenance measures, improving the data management efficiency at different stages of project construction and reducing the data maintenance and management costs. At the same time, in the data management stage, the present application can also use data analysis and mining technologies to conveniently formulate more reasonable and effective decision-making schemes, providing a scientific basis for decision-makers.

[0149] The protection scope of the data management method based on infrastructure equipment described in the embodiment of the present application is not limited to the execution order of the steps listed in this embodiment. Any scheme realized by adding or subtracting steps of the prior art and replacing steps according to the principle of the present application is included in the protection scope of the present application.

[0150] The embodiments of the present application further provide a data management system based on infrastructure devices. The data management system based on infrastructure devices can implement the data management method based on infrastructure devices described in the present application. However, the implementation devices of the data management method based on infrastructure devices described in the present application include, but are not limited to, the structures of the data management system based on infrastructure devices listed in this embodiment. Any structural deformation and replacement of the prior art made according to the principles of the present application are included in the protection scope of the present application.

[0151] As Figure 15 shown, this embodiment provides a data management system based on infrastructure devices. The data management system 100 based on infrastructure devices includes an integration module 110, a verification module 120, and an upload module 130. The integration module 110 is used to integrate the basic data of the infrastructure devices to obtain the first basic data; the verification module 120 performs a data quality review on the first basic data based on a preset verification rule to obtain the target basic data; the upload module 130 is used to upload the target basic data to the digital delivery platform.

[0152] In several embodiments provided by the present application, it should be understood that the disclosed system, device, or method can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of modules / units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple modules or units can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some interfaces. The indirect coupling or communication connection of devices or modules or units can be in an electrical, mechanical, or other form.

[0153] The modules / units described as separate components may or may not be physically separated. The components shown as modules / units may or may not be physical modules, that is, they may be located in one place, or they may be distributed to multiple network units. Some or all of the modules / units can be selected according to actual needs to achieve the purpose of the embodiments of the present application. For example, in each embodiment of the present application, the various functional modules / units can be integrated in a processing module, or each module / unit can exist physically alone, or two or more modules / units can be integrated in one module / unit.

[0154] Those of ordinary skill in the art should further realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of each example have been generally described according to their functions in the above description. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. A professional technician can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.

[0155] As Figure 16 shown, this embodiment provides an electronic device, and the electronic device 200 includes: a memory 210 and a processor 220; wherein, the memory 210 is used to store a computer program; the processor 220 is used to load and execute the computer program so that the electronic device 200 executes the data management method based on infrastructure devices as described above.

[0156] This application embodiment also provides a computer-readable storage medium. Those of ordinary skill in the art can understand that all or part of the steps in the method of implementing the above embodiments can be completed by instructing a processor through a program, and the program can be stored in a computer-readable storage medium. The storage medium is a non-transitory medium, such as random access memory, read-only memory, flash memory, hard disk, solid state drive, magnetic tape, floppy disk, optical disc, and any combination thereof. The above storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more integrated available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., digital video disc (DVD)), or a semiconductor medium (e.g., solid state disk (SSD)), etc.

[0157] An embodiment of the present application may further provide a computer program product, which includes one or more computer instructions. When the computer instructions are loaded and executed on a computing device, the processes or functions according to the embodiments of the present application are generated in whole or in part. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from a website, computer, or data center to another website, computer, or data center by wire (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wirelessly (such as infrared, wireless, microwave, etc.).

[0158] When the computer program product is executed by a computer, the computer executes the method described in the foregoing method embodiment. The computer program product may be a software installation package. In the case where the foregoing method is required, the computer program product may be downloaded and executed on the computer.

[0159] The descriptions of the processes or structures corresponding to the foregoing various drawings have their own emphases. For parts not detailed in a certain process or structure, reference may be made to the relevant descriptions of other processes or structures.

[0160] The foregoing embodiments are merely illustrative of the principles and effects of the present application, and are not intended to limit the present application. Any person familiar with this technology may modify or change the foregoing embodiments without departing from the spirit and scope of the present application. Therefore, all equivalent modifications or changes made by those with ordinary knowledge in the technical field without departing from the spirit and technical ideas disclosed in the present application should still be covered by the claims of the present application.

Claims

1. A data management method based on infrastructure equipment, characterized in that, The data management method based on infrastructure equipment includes: Integrating and processing the basic data of infrastructure equipment to obtain the first basic data; Conducting data quality review on the first basic data based on preset verification rules to obtain the target basic data; Uploading the target basic data to the digital delivery platform.

2. The data management method based on infrastructure equipment according to claim 1, wherein, The integrating and processing the basic data of infrastructure equipment to obtain the first basic data includes: Obtaining the original basic data of the infrastructure equipment; Integrating and processing the original basic data to obtain the first basic data.

3. The data management method based on infrastructure equipment according to claim 2, characterized in that The basic data of the infrastructure equipment includes all data during the entire project construction period from the start of the project to the project delivery; the basic data of the infrastructure equipment includes one or more of library files, factory object lists and attribute files, 3D design models, supplier models, intelligent files and documents, and associated relationship files.

4. The data management method based on infrastructure equipment according to claim 3, characterized in that, When the basic data of the infrastructure equipment is a document and associated relationship file, the basic data of the infrastructure equipment includes a non-scanned document file and a scanned document file; When the basic data of the infrastructure equipment is a non-scanned document file, conducting document organization and coding processing on the basic data of the infrastructure equipment to obtain the second basic data; When the basic data of the infrastructure equipment is a scanned document file, conducting document organization and coding processing on the basic data of the infrastructure equipment to obtain the third basic data; conducting associated relationship file compilation processing on the third basic data to obtain the fourth basic data.

5. The data management method based on infrastructure equipment according to claim 4, wherein, It further includes: Conducting data quality review on the second basic data and / or the fourth basic data based on preset verification rules to obtain the target basic data; Uploading the target basic data to the digital delivery platform.

6. The data management method based on infrastructure equipment according to claim 1, characterized in that The preset verification rule is a target object list, and the generation of the target object list includes the following steps: Obtaining the initial target infrastructure equipment; Numbering and classifying the initial target infrastructure equipment based on preset delivery rules to obtain the first set of target infrastructure equipment; Obtaining the corresponding first object list based on the first set of target infrastructure equipment; Integrating and processing the first object list to obtain an integrated version of the first object list; Conducting compliance review processing on the integrated version of the first object list to obtain the target object list.

7. The data management method based on infrastructure equipment according to claim 6, characterized in that, The conducting data quality review on the first basic data based on preset verification rules to obtain the target basic data includes: Obtaining the first basic data and the preset verification rules; Conducting data integrity and compliance verification on the first basic data based on the preset verification rules to obtain the verification result; Obtaining the target basic data based on the verification result.

8. A data management system based on infrastructure equipment, characterized in that, The data management system based on infrastructure equipment includes: An integration module for integrating and processing the basic data of infrastructure equipment to obtain the first basic data; A verification module for conducting data quality review on the first basic data based on preset verification rules to obtain the target basic data; An upload module for uploading the target basic data to the digital delivery platform.

9. An electronic device, characterized in that, The electronic device includes: a memory and a processor; wherein, The memory is used to store a computer program; The processor is used to load and execute the computer program, so that the electronic device executes the data management method based on infrastructure devices as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the electronic device, it implements the data management method based on infrastructure devices as described in any one of claims 1 to 7.

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