A data processing method and digital twin platform

Abstract

This application provides a data processing method and a digital twin platform. The method is applied to the digital twin platform. The digital twin platform can strengthen planning management and data collection through the asset standard model, and help the headquarters plan in standard management, lean management, account-to-actual consistency, invoice collaboration and 5D visualization. At the same time, it does not increase the application of the intranet system, does not change the operating process of the business department, simplifies data entry, and improves accuracy.

Description

Technical Field

[0001] The present application relates to the technical field of distribution network asset management, and in particular to a data processing method and a digital twin platform. Background Art

[0002] Currently, in distribution network projects, financial control of distribution network assets is generally performed manually.

[0003] However, manual financial control of distribution network assets has problems of low efficiency and accuracy. Summary of the invention

[0004] In order to solve the above technical problems, the embodiments of the present application provide a data processing method and a digital twin platform to improve the efficiency and accuracy of financial control of distribution network assets. The technical solution is as follows:

[0005] A data processing method, applied to a data twin platform, comprising:

[0006] Acquire distribution network engineering design data, and construct an asset standard model for each distribution network object based on the distribution network engineering design data, wherein the asset standard model at least includes business standard data and financial standard data associated with the distribution network object and an association relationship between the business standard data and the financial standard data;

[0007] Constructing a three-dimensional visual model of each of the distribution network objects respectively;

[0008] Respectively obtain implementation progress information of each of the distribution network objects;

[0009] Constructing first association information including an association relationship between the asset standard model, the three-dimensional visual model and the implementation progress information of the distribution network object;

[0010] The first association information is stored.

[0011] Optionally, the asset standard model includes: an asset equipment standard model, an equipment material standard model, a process quota standard model and an asset value standard model;

[0012] The asset equipment standard model includes the standard classification of distribution network assets to which the distribution network object belongs, the composition type of the distribution network object and the number of the distribution network objects;

[0013] The equipment material standard model includes the types of standard constituent materials included in the distribution network object and the quantities of the standard constituent materials;

[0014] The process quota standard model includes standard operation steps and standard quotas of the distribution network object;

[0015] The asset value standard model includes the equipment standard original value, installation standard value and apportionment standard value of the distribution network object.

[0016] Optionally, the method further includes:

[0017] Acquire material procurement data, and load the material procurement data into the equipment material standard model;

[0018] Based on the equipment material standard model including the material procurement data, determine the benchmark type, benchmark quantity and benchmark value of the equipment, the actual type, actual quantity and actual value of the equipment, the benchmark type, benchmark quantity and benchmark value of the material, and the actual type, actual quantity and actual value of the material;

[0019] The benchmark type and actual type of the equipment, the benchmark quantity and actual quantity of the equipment, the benchmark value and the actual value of the equipment, the benchmark type and actual type of the material, the benchmark quantity and actual quantity of the material, and the benchmark value and actual value of the material are compared and analyzed respectively to obtain a first deviation analysis result.

[0020] Optionally, the method further includes:

[0021] Acquiring construction data associated with the power distribution network project, and loading the construction data into the process quota standard model;

[0022] Based on the process quota standard model containing the construction data, the installation quota benchmark value and the material benchmark value as well as the installation quota actual value and the material actual value are determined, and the installation quota benchmark value and the material benchmark value as well as the installation quota actual value and the material actual value are compared and analyzed to obtain a second deviation analysis result.

[0023] Optionally, the method further includes:

[0024] Based on the asset equipment standard model, a standardized asset detail file is generated, wherein the standardized asset detail file contains detailed information of each component of the distribution network object;

[0025] Based on the process quota standard model, determining the standard installation value corresponding to each of the construction details in the standardized asset detail file;

[0026] The standardized asset detail file and the standard installation value are stored.

[0027] Optionally, the method further includes:

[0028] In case of obtaining an invoice collaboration request initiated by the invoice demand side, respond to the invoice collaboration request, obtain data associated with invoice collaboration from the asset standard model of each distribution network object, and send the data associated with invoice collaboration to the invoice demand side.

[0029] Optionally, the obtaining of material procurement data includes:

[0030] Obtain material procurement data, call a data quality check gate, perform anomaly detection on the material procurement data, and delete the detected abnormal data;

[0031] and / or,

[0032] The obtaining of construction data associated with the power distribution network project includes:

[0033] Acquire construction data associated with the power distribution network project, call a data quality check gate, perform anomaly detection on the construction data, and delete the detected abnormal data.

[0034] Optionally, the method further includes:

[0035] Obtain the expenses that need to be shared in the distribution network project and the distribution network objects that participate in the sharing;

[0036] The expenses that need to be shared in the distribution network project are shared among the distribution network objects that participate in the sharing.

[0037] A data twin platform, comprising: a data layer, a platform layer, a model layer and an application layer;

[0038] The model layer is used to:

[0039] Acquire distribution network engineering design data, and construct an asset standard model for each distribution network object based on the distribution network engineering design data, wherein the asset standard model at least includes business standard data and financial standard data associated with the distribution network object and an association relationship between the business standard data and the financial standard data;

[0040] Constructing a three-dimensional visual model of each of the distribution network objects respectively;

[0041] Respectively obtain implementation progress information of each of the distribution network objects;

[0042] Constructing first association information including an association relationship between the asset standard model, the three-dimensional visual model and the implementation progress information of the distribution network object;

[0043] The first association information is stored.

[0044] Optionally, the asset standard model includes: an asset equipment standard model, an equipment material standard model, a process quota standard model and an asset value standard model;

[0045] The asset equipment standard model includes the standard classification of distribution network assets to which the distribution network object belongs, the composition type of the distribution network object and the number of the distribution network objects;

[0046] The equipment material standard model includes the types of standard constituent materials included in the distribution network object and the quantities of the standard constituent materials;

[0047] The process quota standard model includes standard operation steps and standard quotas of the distribution network object;

[0048] The asset value standard model includes the equipment standard original value, installation standard value and apportionment standard value of the distribution network object.

[0049] Compared with the prior art, the beneficial effects of this application are:

[0050] In the present application, by acquiring the distribution network engineering design data from the data layer, and constructing the asset standard model of each distribution network object based on the distribution network engineering design data, and constructing the three-dimensional visual model of each distribution network object, and acquiring the distribution network time information of each distribution network object, and constructing the first association information containing the association relationship between the asset standard model, the three-dimensional visual model and the distribution network time information of the distribution network object, the first association information can be used as a reference for financial personnel to conduct financial control of distribution network assets. From the first association information, the business standard data and financial standard data associated with the distribution network object and the association relationship between the business standard data and the financial standard data can be obtained to ensure the richness of the acquired data. Based on richer data, the accuracy of financial control of distribution network assets can be improved. In addition, the first association information can more intuitively display the association relationship between the asset standard model, the three-dimensional visual model and the distribution network time information. Based on the association relationship, the financial standard data related to the business standard data or the business standard data related to the financial standard data can be quickly obtained to improve the efficiency of financial control. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0052] Figure 1is a flow chart of a data processing method provided in Example 1 of the present application;

[0053] Figure 2 It is a structural schematic diagram of a standard asset model of a pole-mounted transformer provided by the present application;

[0054] Figure 3 It is a structural schematic diagram of a standard asset model of a box-type transformer provided by this application;

[0055] Figure 4 It is a structural schematic diagram of a 10kV line standard asset model provided by this application;

[0056] Figure 5 It is a structural schematic diagram of a 0.4kV line standard asset model provided by this application;

[0057] Figure 6 It is a structural schematic diagram of a digital twin platform provided by this application;

[0058] Figure 7 It is a schematic diagram of an application scenario of a digital twin platform provided by this application;

[0059] Figure 8 is a flow chart of a data processing method provided in Example 2 of the present application;

[0060] Fig. 9 is a flow chart of a data processing method provided in Example 3 of the present application;

[0061] Fig.10 is a flow chart of a data processing method provided in Example 4 of the present application;

[0062] Fig.11 This is a flow chart of a data processing method provided in Example 5 of the present application. DETAILED DESCRIPTION

[0063] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0064] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0065] Reference Figure 1, is a flow chart of a data processing method provided in Example 1 of the present application, which is applied to the data twin platform, such as Figure 1 As shown, the method may include but is not limited to the following steps:

[0066] Step S11, obtaining distribution network engineering design data, and constructing an asset standard model for each distribution network object based on the distribution network engineering design data, wherein the asset standard model at least includes business standard data and financial standard data associated with the distribution network object and the association relationship between the business standard data and the financial standard data.

[0067] The distribution network objects may include: distribution network equipment (eg, a pole-mounted transformer or a box-type substation) or distribution network lines (10 kV lines and 0.4 kV lines).

[0068] In this embodiment, the asset standard model may include: an asset equipment standard model, an equipment material standard model, a process quota standard model, and an asset value standard model;

[0069] The asset equipment standard model may include the distribution network asset standard classification to which the distribution network object belongs, the composition type of the distribution network object and the number of the distribution network objects;

[0070] The equipment material standard model may include the type of standard constituent materials included in the distribution network object and the quantity of the standard constituent materials;

[0071] The process quota standard model may include standard operating steps and standard quotas of the distribution network object;

[0072] The asset value standard model may include the equipment standard original value, installation standard value and apportionment standard value of the distribution network object.

[0073] In this embodiment, the digital twin platform can obtain construction steps from the process quota standard model, formulate a work plan based on the construction steps, and import the work plan into the daily task clearing WeChat applet, so that each task can be automatically decomposed into the WeChat schedule of the corresponding personnel according to the executor and date, so that the tasks are clear and the responsibilities are assigned to the people. The WeChat applet collects front-end business information and original vouchers in real time to lay a solid foundation for automatic capital transfer.

[0074] Of course, in this embodiment, an organizational model of the distribution network object may also be constructed, and the organizational model includes data of the organizational structure associated with the distribution network object. Figure 2As shown, the standard asset model of pole-mounted transformers can include: asset equipment standard model (expressed as pole-mounted transformer assets), equipment material standard model (such as distribution transformers, pole towers and other equipment, 10kV pole-mounted transformer platform complete equipment, pole insulators, integrated distribution boxes, poles, chassis and other materials), process quota standard model (such as quota standards and construction standards) and asset value standard model (expressed as value) and organization model (expressed as organization). Or, as Figure 3 As shown, the standard asset model of box-type transformers can include: asset equipment standard model (expressed as box-type transformer assets), equipment material standard model (e.g., the equipment is a box-type transformer substation, and the materials include: box-type transformer substation, box-type transformer foundation, box-type transformer fence, distribution terminal, fault indicator and auxiliary materials), process quota standard model (e.g., quota standard and construction standard) and asset value standard model (expressed as value) and organization model (expressed as organization). Or, as Figure 4 As shown, the 10kV line standard asset model can include: asset equipment standard model (expressed as 10kV line assets), equipment material standard model (e.g., equipment is cable segment, pole tower, etc.; materials include: cable segment, cable protection tube, cable clamp, pole, signboard, etc.), process quota standard model (e.g., quota standard and construction standard) and asset value standard model (expressed as value) and organization model (expressed as organization). Or, as Figure 5 As shown, the 0.4kV line standard asset model can include: asset equipment standard model (expressed as 0.4kV line assets), equipment material standard model (e.g., equipment is cable trenches, poles, etc.; materials include: manhole covers, cable warning tapes, cable trenches, poles and signboards, etc.), process quota standard model (e.g., quota standards and construction standards) and asset value standard model (expressed as value) and organizational model (expressed as organization).

[0075] Step S12: construct a three-dimensional visual model of each of the distribution network objects respectively.

[0076] The process of constructing the three-dimensional visual model of each of the distribution network objects may include:

[0077] S121, business data of each of the distribution network objects, the business data including: ledger information of the distribution network object, operation information of the distribution network object, environment information of the distribution network object and location information of the distribution network object;

[0078] S122, respectively obtaining a three-dimensional image of the area where each of the distribution network objects is located;

[0079] S123. Combine the business data of the distribution network object and the three-dimensional image of the area where the distribution network object is located to obtain a three-dimensional visual model of the distribution network image.

[0080] Step S13: Obtain the implementation progress information of each of the distribution network objects respectively.

[0081] The implementation progress information may include but is not limited to: procurement progress information and construction progress information of distribution network objects.

[0082] Step S14: construct first association information including the association relationship between the asset standard model, the three-dimensional visual model and the implementation progress information of the distribution network object.

[0083] Construct the first association information including the association relationship between the asset standard model of the distribution network object, the three-dimensional visual model and the implementation progress information to complete the establishment of the 5D model.

[0084] In this embodiment, the 5D model can also be visualized to vividly display the project construction progress and cost / capital flow.

[0085] Based on the first association information, the asset standard model, three-dimensional visual model and implementation progress associated with the distribution network object can be determined. Based on the asset standard model, three-dimensional visual model and implementation progress associated with the distribution network object, the distribution network object can be managed and controlled, specifically financial management and control can be performed.

[0086] Step S15: store the first association information.

[0087] In this embodiment, Figure 6 As shown, the digital twin platform may include: a data layer 100, a platform layer 200, a model layer 300 and an application layer 400.

[0088] Specifically, the data layer 100 is used to store data associated with the distribution network project, such as distribution network project design data, material procurement data, and construction data associated with the distribution network project.

[0089] Among them, steps S11-S15 can be executed by the model layer 300, and the model layer 300 can obtain data from the data layer, such as obtaining distribution network engineering design data from the data layer 100.

[0090] The platform layer 200 is used to provide platform basic services.

[0091] The application layer 400 is used for external connection and can call the asset standard model built by the model layer and / or the data stored in the data layer for external use, such as Figure 7 As shown, the digital twin platform can be connected to the intranet through the application layer, and provide the intranet with asset standard models and / or data stored in the data layer.

[0092] In this embodiment, the application layer can also obtain the expenses that need to be shared in the distribution network project (such as design fees, supervision fees and audit fees, etc.), and the distribution network objects participating in the sharing; and share the expenses that need to be shared in the distribution network project to the distribution network objects participating in the sharing.

[0093] In this application, a standard asset model for each distribution network object is constructed, which can unify the business environment models of the entire distribution network project process to solve the problem of low standardization of distribution network asset division.

[0094] And, by acquiring the distribution network engineering design data from the data layer, and constructing the asset standard model of each distribution network object based on the distribution network engineering design data, and constructing the three-dimensional visual model of each distribution network object, and acquiring the distribution network time information of each distribution network object, and constructing the first association information containing the association relationship between the asset standard model, the three-dimensional visual model and the distribution network time information of the distribution network object, the first association information can be used as a reference for financial personnel to conduct financial control of distribution network assets, and the business standard data and financial standard data associated with the distribution network object and the association relationship between the business standard data and the financial standard data can be obtained from the first association information, ensuring the richness of the acquired data, and based on richer data, the accuracy of financial control of distribution network assets can be improved. In addition, the first association information can more intuitively display the association relationship between the asset standard model, the three-dimensional visual model and the distribution network time information, and based on the association relationship, the financial standard data related to the business standard data or the business standard data related to the financial standard data can be quickly obtained, thereby improving the efficiency of financial control.

[0095] As another optional embodiment of the present application, refer to Figure 8 , is a flow chart of a data processing method provided in Example 2 of the present application. This embodiment is mainly an extended solution of the data processing method described in Example 1 above, such as Figure 7 As shown, the method may include but is not limited to the following steps:

[0096] Step S21, obtaining distribution network engineering design data, and constructing an asset equipment standard model, an equipment material standard model, a process quota standard model and an asset value standard model for each distribution network object based on the distribution network engineering design data;

[0097] Step S22, constructing a three-dimensional visual model of each of the distribution network objects respectively;

[0098] Step S23, respectively obtaining implementation progress information of each of the distribution network objects;

[0099] Step S24, constructing first association information including an association relationship between the asset standard model of the distribution network object, the three-dimensional visual model and the implementation progress information;

[0100] Step S25: store the first association information.

[0101] The detailed process of steps S21-S25 can refer to the relevant introduction of steps S11-S15 in Example 1, which will not be repeated here.

[0102] Step S26: Acquire material procurement data, and load the material procurement data into the equipment material standard model.

[0103] In this embodiment, obtaining material procurement data may include but is not limited to:

[0104] Obtain material procurement data, call a data quality check gate, perform anomaly detection on the material procurement data, and delete the detected abnormal data.

[0105] By calling the data quality check gate, the material procurement data is detected for anomalies, and the detected abnormal data is deleted to ensure the accuracy of the retained material procurement data, thereby ensuring the accuracy of the material procurement data loaded into the equipment material standard model.

[0106] Material procurement data can be understood as: procurement data of equipment and materials.

[0107] Step S27, based on the equipment and material standard model containing the material procurement data, determine the benchmark type, benchmark quantity and benchmark value of the equipment, as well as the actual type, actual quantity and actual value of the equipment and the benchmark type, benchmark quantity and benchmark value of the material and the actual type, actual quantity and actual value of the material.

[0108] Step S28, respectively compare and analyze the benchmark type and actual type of the equipment, the benchmark quantity and actual quantity of the equipment, the benchmark value and the actual value of the equipment, the benchmark type and actual type of the material, the benchmark quantity and actual quantity of the material, and the benchmark value and the actual value of the material to obtain a first deviation analysis result.

[0109] It can be understood that the equipment and material standard model contains the benchmark type, benchmark quantity and benchmark value of the equipment, as well as the benchmark type, benchmark quantity and benchmark value of the materials. Loading the material procurement data into the equipment and material standard model does not affect the benchmark type, benchmark quantity and benchmark value of the equipment, as well as the benchmark type, benchmark quantity and benchmark value of the materials. Therefore, the benchmark type, benchmark quantity and benchmark value of the equipment, as well as the benchmark type, benchmark quantity and benchmark value of the materials can be obtained from the equipment and material standard model based on the material procurement data.

[0110] Since the material procurement data is the actual procurement data of equipment and materials, the actual type, actual quantity and actual value of the equipment, and the actual type, actual quantity and actual value of the materials can be determined based on the equipment and material standard model containing the material procurement data.

[0111] In this embodiment, the first deviation analysis result may be output to the power distribution network or to the outside, so that the power distribution network or the outside may perform business processing timely and accurately based on the first deviation analysis result.

[0112] As another optional embodiment of the present application, refer to Fig. 9 , is a flow chart of a data processing method provided in Example 3 of the present application. This embodiment is mainly an extended solution of the data processing method described in the above Example 1, such as Fig. 9 As shown, the method may include but is not limited to the following steps:

[0113] Step S31, obtaining distribution network engineering design data, and constructing an asset equipment standard model, an equipment material standard model, a process quota standard model and an asset value standard model for each distribution network object based on the distribution network engineering design data.

[0114] Step S32: construct a three-dimensional visual model of each of the distribution network objects respectively.

[0115] Step S33: Obtain the implementation progress information of each of the distribution network objects respectively.

[0116] Step S34: construct first association information including the association relationship between the asset standard model, the three-dimensional visual model and the implementation progress information of the distribution network object.

[0117] Step S35: store the first association information.

[0118] The detailed process of steps S31-S35 can refer to the relevant introduction of steps S11-S15 in Example 1, which will not be repeated here.

[0119] Step S36: Acquire construction data associated with the distribution network project, and load the construction data into the process quota standard model.

[0120] The acquisition of construction data associated with the distribution network project may include but is not limited to:

[0121] Acquire construction data associated with the power distribution network project, call a data quality check gate, perform anomaly detection on the construction data, and delete the detected abnormal data.

[0122] By calling the data quality check gate, the construction data is detected for anomalies, and the detected abnormal data is deleted to ensure the accuracy of the retained construction data, thereby ensuring the accuracy of the data loaded into the process quota standard model.

[0123] Step S37, based on the process quota standard model including the construction data, determine the installation quota benchmark value and the material benchmark value as well as the installation quota actual value and the material actual value, and compare and analyze the installation quota benchmark value and the material benchmark value as well as the installation quota actual value and the material actual value to obtain a second deviation analysis result.

[0124] It can be understood that the process quota standard model includes the installation quota benchmark value and the material benchmark value. Loading the construction data into the process quota standard model does not affect the installation quota benchmark value and the material benchmark value. Therefore, the installation quota benchmark value and the material benchmark value can be obtained from the process quota standard model based on the construction data.

[0125] Since the construction data includes actual construction data, such as actual construction steps, actual material usage data and actual personnel usage data, the actual value of the installation quota and the actual value of materials can be determined based on the process quota standard model including the construction data.

[0126] In this embodiment, the second deviation analysis result may be output to the power distribution network or to the outside, so that the power distribution network or the outside may perform business processing timely and accurately based on the second deviation analysis result.

[0127] As another optional embodiment of the present application, refer to Fig.10 , is a flow chart of a data processing method provided in Example 4 of the present application. This embodiment is mainly an extended solution of the data processing method described in the above Example 1, such as Fig.10 As shown, the method may include but is not limited to the following steps:

[0128] Step S41, obtaining distribution network engineering design data, and constructing an asset equipment standard model, an equipment material standard model, a process quota standard model and an asset value standard model for each distribution network object based on the distribution network engineering design data.

[0129] Step S42: construct a three-dimensional visual model of each of the distribution network objects respectively.

[0130] Step S43: Obtain the implementation progress information of each of the distribution network objects respectively.

[0131] Step S44: construct first association information including the association relationship between the asset standard model, the three-dimensional visual model and the implementation progress information of the distribution network object.

[0132] Step S45: store the first association information.

[0133] The detailed process of steps S41-S45 can refer to the relevant introduction of steps S11-S15 in Example 1, which will not be repeated here.

[0134] Step S46: Generate a standardized asset detail file based on the asset equipment standard model, wherein the standardized asset detail file contains detailed information of each component of the distribution network object.

[0135] Components may include but are not limited to: equipment or materials.

[0136] Step S47: Based on the process quota standard model, determine the standard installation value corresponding to the detailed information of each component in the standardized asset detailed file.

[0137] Step S48: Store the standardized asset detail file and the standard installation value.

[0138] In this embodiment, the standardized asset detail file and the standard installation value can provide data support for signing an installation contract based on the asset details.

[0139] As another optional embodiment of the present application, refer to Fig.11 , is a flow chart of a data processing method provided in Example 5 of the present application. This embodiment is mainly an extended solution of the data processing method described in the above Example 1, such as Fig.11 As shown, the method may include but is not limited to the following steps:

[0140] Step S51, obtain distribution network engineering design data, and construct an asset standard model for each distribution network object based on the distribution network engineering design data, wherein the asset standard model at least includes business standard data and financial standard data associated with the distribution network object and the association relationship between the business standard data and the financial standard data.

[0141] Step S52: construct a three-dimensional visual model of each of the distribution network objects respectively.

[0142] Step S53: Obtain the implementation progress information of each of the distribution network objects respectively.

[0143] Step S54: construct first association information including the association relationship between the asset standard model of the distribution network object, the three-dimensional visual model and the implementation progress information.

[0144] Step S55: store the first association information.

[0145] The detailed process of steps S51-S55 can refer to the relevant introduction of steps S11-S15 in Example 1, which will not be repeated here.

[0146] Step S56: upon obtaining an invoice collaboration request initiated by the invoice demand side, respond to the invoice collaboration request, obtain data associated with invoice collaboration from the asset standard model of each distribution network object, and send the data associated with invoice collaboration to the invoice demand side.

[0147] In this embodiment, the invoice demand side can initiate an invoice collaboration request in the design stage, procurement stage, construction stage and capital transfer stage. The digital twin platform can respond to the invoice collaboration request in each stage, obtain the data associated with the invoice collaboration from the asset standard model of each distribution network object, and send the invoice collaboration-related data to the invoice demand side, so as to realize invoice collaboration throughout the entire business line of design, procurement, construction and capital transfer, improve the efficiency of invoice issuance, and ensure the financial management and capital security of the distribution network.

[0148] Next, the digital twin platform provided by the present application is introduced. The digital twin platform introduced below and the data processing method introduced above can be referenced to each other.

[0149] like Figure 6 As shown, the digital twin platform includes: data layer 100, platform layer 200, model layer 300 and application layer 400.

[0150] The functions of the data layer 100, the platform layer 200 and the application layer 400 can be found in the introduction of the aforementioned embodiments and will not be described in detail here.

[0151] The model layer 300 is used for:

[0152] Acquire distribution network engineering design data, and construct an asset standard model for each distribution network object based on the distribution network engineering design data, wherein the asset standard model at least includes business standard data and financial standard data associated with the distribution network object and an association relationship between the business standard data and the financial standard data;

[0153] Constructing a three-dimensional visual model of each of the distribution network objects respectively;

[0154] Respectively obtain implementation progress information of each of the distribution network objects;

[0155] Constructing first association information including an association relationship between the asset standard model, the three-dimensional visual model and the implementation progress information of the distribution network object;

[0156] The first association information is stored.

[0157] The asset standard model includes: asset equipment standard model, equipment material standard model, process quota standard model and asset value standard model;

[0158] The asset equipment standard model includes the standard classification of distribution network assets to which the distribution network object belongs, the composition type of the distribution network object and the number of the distribution network objects;

[0159] The equipment material standard model includes the types of standard constituent materials included in the distribution network object and the quantities of the standard constituent materials;

[0160] The process quota standard model includes standard operation steps and standard quotas of the distribution network object;

[0161] The asset value standard model includes the equipment standard original value, installation standard value and apportionment standard value of the distribution network object.

[0162] In this embodiment, the model layer 300 can be used for:

[0163] Acquire material procurement data, and load the material procurement data into the equipment material standard model;

[0164] Based on the equipment material standard model including the material procurement data, determine the benchmark type, benchmark quantity and benchmark value of the equipment, the actual type, actual quantity and actual value of the equipment, the benchmark type, benchmark quantity and benchmark value of the material, and the actual type, actual quantity and actual value of the material;

[0165] The benchmark type and actual type of the equipment, the benchmark quantity and actual quantity of the equipment, the benchmark value and the actual value of the equipment, the benchmark type and actual type of the material, the benchmark quantity and actual quantity of the material, and the benchmark value and actual value of the material are compared and analyzed respectively to obtain a first deviation analysis result.

[0166] In this embodiment, the model layer 300 can also be used for:

[0167] Acquiring construction data associated with the power distribution network project, and loading the construction data into the process quota standard model;

[0168] Based on the process quota standard model containing the construction data, the installation quota benchmark value and the material benchmark value as well as the installation quota actual value and the material actual value are determined, and the installation quota benchmark value and the material benchmark value as well as the installation quota actual value and the material actual value are compared and analyzed to obtain a second deviation analysis result.

[0169] In this embodiment, the model layer 300 can also be used for:

[0170] Based on the asset equipment standard model, a standardized asset detail file is generated, wherein the standardized asset detail file contains detailed information of each component of the distribution network object;

[0171] Based on the process quota standard model, determining the standard installation value corresponding to each of the construction details in the standardized asset detail file;

[0172] The standardized asset detail file and the standard installation value are stored.

[0173] In this embodiment, the application layer 400 can be used for:

[0174] In case of obtaining an invoice collaboration request initiated by the invoice demand side, respond to the invoice collaboration request, obtain data associated with invoice collaboration from the asset standard model of each distribution network object, and send the data associated with invoice collaboration to the invoice demand side.

[0175] In this embodiment, obtaining material procurement data may include:

[0176] Obtain material procurement data, call a data quality check gate, perform anomaly detection on the material procurement data, and delete the detected abnormal data;

[0177] and / or,

[0178] The acquiring of the construction data associated with the distribution network project may include:

[0179] Acquire construction data associated with the power distribution network project, call a data quality check gate, perform anomaly detection on the construction data, and delete the detected abnormal data.

[0180] In this embodiment, the application layer 400 may also be used for:

[0181] Obtain the expenses that need to be shared in the distribution network project and the distribution network objects that participate in the sharing;

[0182] The expenses that need to be shared in the distribution network project are shared among the distribution network objects that participate in the sharing.

[0183] It should be noted that each embodiment focuses on the differences from other embodiments, and the same or similar parts between the embodiments can be referred to each other. For the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0184] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or electronic device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or electronic device. In the absence of further restrictions, the elements defined by the sentence "comprises one..." do not exclude the presence of other identical elements in the process, method, article or electronic device including the elements.

[0185] For the convenience of description, the above device is described in various units according to their functions. Of course, when implementing the present application, the functions of each unit can be implemented in the same or multiple software and / or hardware.

[0186] It can be known from the description of the above implementation methods that those skilled in the art can clearly understand that the present application can be implemented by means of software plus a necessary general hardware platform. Based on such an understanding, the technical solution of the present application can be essentially or partly contributed to the prior art in the form of a software product, which can be stored in a storage medium such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes several instructions for enabling a computer electronic device (which can be a personal computer, a server, or a network electronic device, etc.) to execute the methods described in the various embodiments of the present application or certain parts of the embodiments.

[0187] The above is a detailed introduction to a data processing method and a digital twin platform provided by the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for general technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A data processing method, characterized in that: Applied to the data twin platform, the method includes: Acquire distribution network engineering design data, and construct an asset standard model for each distribution network object based on the distribution network engineering design data, wherein the asset standard model at least includes business standard data and financial standard data associated with the distribution network object and an association relationship between the business standard data and the financial standard data; Constructing a three-dimensional visual model of each of the distribution network objects respectively; Respectively obtain implementation progress information of each of the distribution network objects; Constructing first association information including an association relationship between the asset standard model, the three-dimensional visual model and the implementation progress information of the distribution network object; storing the first association information; The asset standard model includes: asset equipment standard model, equipment material standard model, process quota standard model and asset value standard model; The asset equipment standard model includes the standard classification of distribution network assets to which the distribution network object belongs, the composition type of the distribution network object and the number of the distribution network objects; The equipment material standard model includes the types of standard constituent materials included in the distribution network object and the quantities of the standard constituent materials; The process quota standard model includes standard operation steps and standard quotas of the distribution network object; The asset value standard model includes the equipment standard original value, installation standard value and apportionment standard value of the distribution network object.

2. The method according to claim 1, characterized in that The method further comprises: Acquire material procurement data, and load the material procurement data into the equipment material standard model; Based on the equipment material standard model including the material procurement data, determine the benchmark type, benchmark quantity and benchmark value of the equipment, the actual type, actual quantity and actual value of the equipment, the benchmark type, benchmark quantity and benchmark value of the material, and the actual type, actual quantity and actual value of the material; The benchmark type and actual type of the equipment, the benchmark quantity and actual quantity of the equipment, the benchmark value and the actual value of the equipment, the benchmark type and actual type of the material, the benchmark quantity and actual quantity of the material, and the benchmark value and actual value of the material are compared and analyzed respectively to obtain a first deviation analysis result.

3. The method according to claim 1 or 2, characterized in that: The method further comprises: Acquiring construction data associated with the power distribution network project, and loading the construction data into the process quota standard model; Based on the process quota standard model containing the construction data, the installation quota benchmark value and the material benchmark value as well as the installation quota actual value and the material actual value are determined, and the installation quota benchmark value and the material benchmark value as well as the installation quota actual value and the material actual value are compared and analyzed to obtain a second deviation analysis result.

4. The method according to claim 1, characterized in that: The method further comprises: Based on the asset equipment standard model, a standardized asset detail file is generated, wherein the standardized asset detail file contains detailed information of each component of the distribution network object; Based on the process quota standard model, determining the standard installation value corresponding to the detailed information of each component in the standardized asset detailed file; The standardized asset detail file and the standard installation value are stored.

5. The method according to claim 1, characterized in that The method further comprises: In case of obtaining an invoice collaboration request initiated by the invoice demand side, respond to the invoice collaboration request, obtain data associated with invoice collaboration from the asset standard model of each distribution network object, and send the data associated with invoice collaboration to the invoice demand side.

6. The method according to claim 2, characterized in that The obtaining of material procurement data includes: Obtain material procurement data, call a data quality check gate, perform anomaly detection on the material procurement data, and delete the detected abnormal data; and / or, The obtaining of construction data associated with the power distribution network project includes: Acquire construction data associated with the power distribution network project, call a data quality check gate, perform anomaly detection on the construction data, and delete the detected abnormal data.

7. The method according to claim 1, characterized in that The method further comprises: Obtain the expenses that need to be shared in the distribution network project and the distribution network objects that participate in the sharing; The expenses that need to be shared in the distribution network project are shared among the distribution network objects that participate in the sharing.

8. A data twin platform, characterized in that: include: Data layer, platform layer, model layer and application layer; The model layer is used to: Acquire distribution network engineering design data, and construct an asset standard model for each distribution network object based on the distribution network engineering design data, wherein the asset standard model at least includes business standard data and financial standard data associated with the distribution network object and an association relationship between the business standard data and the financial standard data; Constructing a three-dimensional visual model of each of the distribution network objects respectively; Respectively obtain implementation progress information of each of the distribution network objects; Constructing first association information including an association relationship between the asset standard model, the three-dimensional visual model and the implementation progress information of the distribution network object; storing the first association information; The asset standard model includes: asset equipment standard model, equipment material standard model, process quota standard model and asset value standard model; The asset equipment standard model includes the standard classification of distribution network assets to which the distribution network object belongs, the composition type of the distribution network object and the number of the distribution network objects; The equipment material standard model includes the types of standard constituent materials included in the distribution network object and the quantities of the standard constituent materials; The process quota standard model includes standard operation steps and standard quotas of the distribution network object; The asset value standard model includes the equipment standard original value, installation standard value and apportionment standard value of the distribution network object.

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