CN114048719A

CN114048719A - Method and device for on-line operation of asset foundation method, electronic equipment and storage medium

Info

Publication number: CN114048719A
Application number: CN202111010671.2A
Authority: CN
Inventors: 赵斌; 李秀荣; 黄斌斌
Original assignee: Xiamen Yunping Supercomputing Network Technology Co ltd
Current assignee: Xiamen Yunping Supercomputing Network Technology Co ltd
Priority date: 2021-08-31
Filing date: 2021-08-31
Publication date: 2022-02-15

Abstract

The application provides a method for asset foundation method online operation, which comprises the following steps: selecting an evaluation subject according to a preset evaluation item; extracting data from the data set of the evaluation project to form an original reporting table; selecting a measuring and calculating method; extracting data from the original reporting form according to the measuring and calculating method to form an original measuring and calculating form; measuring and calculating data in the original measuring and calculating table, and backfilling a measuring and calculating result into the original reporting table to obtain a reporting table; and summarizing at least one statement form, and generating a target evaluation report according to a preset template.

Description

Method and device for on-line operation of asset foundation method, electronic equipment and storage medium

Technical Field

The application belongs to the field of asset assessment, and particularly relates to a method for asset-based method online operation, a device for asset-based method online operation, electronic equipment and a storage medium.

Background

Currently, in the field of asset assessment, the manner of generating an assessment report generally includes existing practice technical schemes and software technical schemes.

The implementation of the existing implementation technical scheme is generally as follows: the assessment company places all the asset basic method measurement and calculation manuscript tables (including statement tables, survey tables, price inquiry tables, operation analysis tables, typical case tables and the like) in a set of EXCEL files, wherein a check relation is arranged in the tables, and when an evaluator performs the assessment operation, the evaluator needs to select from all the tables according to project requirements and use the selected tables to complete the measurement and calculation. In the mode, manual operation is mainly adopted, the working efficiency is low, and the error rate is high.

The implementation of the prior software technical scheme is generally as follows: the existing software technical scheme mostly adopts the design of a planarization table system in the practical technical scheme, wherein part of software adopts simplified version draft tables in the system, meanwhile, evaluation work is carried out by combining the software and the traditional EXCEL, and the other part directly develops the software into an EXCEL software plug-in to supplement the missing part in the traditional technical scheme.

In both of the above-mentioned categories, the following problems generally exist: all the tables for measurement and calculation lack clear sequence, hierarchy and check relation, and use experience is influenced. Only part of tables in a single project need to be used, and the rest tables which do not need to be selected can interfere with project operation. Although some checking relationships are created among the tables, in the face of variable project types (different tables need to be selected, the number of tables needs to be expanded, and the like), a great deal of modification needs to be performed on the checking relationships by evaluators, and the working efficiency is affected. The table has a large number of formulas and audit relations, and when an error occurs, the error cannot be identified quickly, so that the final evaluation quality is influenced. The mode of combining software and EXCEL partially adapts to the traditional evaluation operation habit of users, but also causes the problems of lack of consistency, completeness and the like of data.

In the declaration form generation process in the prior art, a plurality of manuscript files or a single manuscript file is generally adopted. When multiple manuscripts are used, the operator needs to browse different manuscripts when generating the statement form. The inconvenience of the writing process is caused, and the working efficiency is reduced. Meanwhile, a large number of checking relationships need to exist among the tables. The audit relationship is not intuitive and it is difficult to discover errors that may exist therein. Uncertainty is introduced to the writing of the report.

When a single manuscript file is used, the manuscript file often requires a large number of fields (columns in a table). Only a few of these fields are relevant to a single statement. These fields are difficult to display completely on the same screen, forcing the operator to scroll through different fields of the same form. Certain difficulties are brought to the operating personnel. The work efficiency is reduced, and the uncertainty of the writing process is improved.

Disclosure of Invention

Based on this, the present application provides a method for asset infrastructure online operations, comprising: selecting an evaluation subject according to a preset evaluation item; extracting data from the data set of the evaluation project to form an original reporting table; selecting a measuring and calculating method; extracting data from the original reporting form according to the measuring and calculating method to form an original measuring and calculating form; measuring and calculating data in the original measuring and calculating table, and backfilling a measuring and calculating result into the original reporting table to obtain a reporting table; and summarizing at least one statement form, and generating a target evaluation report according to a preset template.

Further, the method may further include: and classifying and ordering at least one evaluation subject related to the evaluation item.

Optionally, the extracting data from the data set of the evaluation item to form an original declaration table includes: extracting at least one assessment subject involved in the assessment subject from the dataset; extracting data fields related to the assessment subject from the dataset; and extracting data from the data set according to at least one evaluation object related to the evaluation subject and the data field related to the evaluation subject to form an original reporting table.

Optionally, the extracting data from the data set of the evaluation item to form an original reporting table may include: extracting at least one assessment subject involved in the assessment subject from the dataset; extracting data fields related to the assessment subject from the dataset; and extracting data from the data set according to at least one evaluation object related to the evaluation subject and the data field related to the evaluation subject to form an original statement.

Further, the method may further include: and backfilling the measurement and calculation result into the original measurement and calculation table to obtain the measurement and calculation table.

Optionally, the method for measuring and calculating may include: a first-level measuring and calculating method, a second-level measuring and calculating method, … … and an N-level measuring and calculating method, wherein N is an integer more than or equal to 2.

Optionally, the method is used for online operations for asset valuation according to an asset funding method.

Optionally, summarizing at least one statement form, and generating a target evaluation report according to a preset template, including: summarizing at least one statement table to obtain an evaluation statement table; and generating a target evaluation report according to the evaluation list and the preset template.

The present application further provides a device for asset foundation method online operation, comprising: the reporting table classification management unit is used for classifying and managing at least one reporting table related to the target evaluation report; the report form data extraction unit extracts data from the data related to the target evaluation report to obtain an original report form; the statement measuring and calculating unit is used for measuring and calculating the data in the original statement and backfilling a measuring and calculating result into the original statement to obtain the statement; and the report generating unit is used for summarizing the at least one reporting table and generating the target evaluation report.

The application also provides an electronic device comprising a memory and a processor, and a program stored in the memory and recognizable to the processor, wherein when the program is executed, the processor performs any one of the methods described above.

The present application also provides a storage medium storing a program recognizable by a processor, the processor performing the method of any one of the foregoing when the program is executed.

By using the method and the device, the original declaration form can be generated by extracting data from the related data of the target evaluation report, and the selected declaration form can be generated by using the original declaration form. Because the original reporting table is a single table and only contains the data related to the selected reporting table. The statement form is relatively short and refined, and can visually display the data required by the selected statement form. The method simplifies the original statement, facilitates the operators to arrange the data of the original statement and find errors possibly existing in the data. Therefore, the work efficiency of the report writing process can be improved, and the error rate in the writing process can be reduced.

Furthermore, the statement table can be disassembled into at least one analysis and calculation table. And extracting the analysis measurement table manuscript from the original reporting table by adopting a similar method. Thereby further simplifying the manuscript. Therefore, the operation difficulty of operators can be reduced, the operation efficiency is improved, and the error rate is reduced.

Furthermore, the analysis and calculation table can be divided into a primary analysis and calculation table, a secondary analysis and calculation table and … … in a multi-stage mode. The method can further simplify the manuscript table, reduce the operation difficulty, improve the operation efficiency and reduce the error rate.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for a person skilled in the art to obtain other drawings based on these drawings without exceeding the protection scope of the present application.

FIG. 1 shows a flow diagram of a method for asset infrastructure online operations according to an embodiment of the present application.

Fig. 2 shows a schematic diagram of a subject evaluation page to which the method of fig. 1 is applied.

Fig. 3 is a partially enlarged schematic view of fig. 2, which shows a schematic view of an advisory sheet measurement page.

Fig. 4 is a partially enlarged view of fig. 2, showing a view of an evaluation subject classification navigation page.

FIG. 5 is a schematic diagram of a configuration interface for field mapping in the method of FIG. 1.

Fig. 6 shows a schematic diagram of a summary table in the method of fig. 1.

Fig. 7 shows a schematic composition diagram of an apparatus for asset infrastructure online operation according to another embodiment of the present application.

FIG. 8 shows a block diagram of an electronic device according to an example embodiment.

Detailed Description

The noun explains:

reporting the form: the assessment is based on the premise that the user needs to provide related financial data, and the form in which the user fills the related financial data is not only a reporting form, but also different financial data are subdivided into different reporting forms because the financial data are of more types.

Analyzing a measuring table: the system comprises a survey table, a price inquiry table, an operation analysis table and a typical case table, wherein the tables are tables for analyzing and measuring original data by an evaluator on the basis of an original reporting table. Different reporting tables respectively correspond to the analysis measuring and calculating tables with different quantities and types.

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application

Evaluation items may first be created based on the target evaluation reporting requirements. Alternatively, the assessment item may be an asset assessment item. The asset assessment project may include a plurality of assessment objects. Where each assessment object may be an asset assessment project includes a thing. Such as "electric hoist", "cubicle low-voltage switchgear", "carding machine" … … in fig. 2.

A data set for the asset assessment project may be obtained. The data set may include data related to at least one assessment object in the asset assessment project. As shown in fig. 2, the data set may be presented in a data table form. Where each evaluation object may correspond to a row in the table. Optionally, the data in the data set may include raw data of each evaluation object. The data in the data set may be intermediate data subjected to some calculation or result data of some calculation for each evaluation target.

An asset assessment project generally involves a plurality of assessment subjects. Each evaluation subject may relate to a plurality of evaluation subjects included in the evaluation item. Each evaluation subject can correspond to an declaration form. And each evaluation subject related to the evaluation item can be selected one by one, and the evaluation object related to each selected evaluation subject can be evaluated to obtain a corresponding statement. And each statement form can be summarized, and a target evaluation report can be generated according to a preset composition template.

As shown in fig. 1, in S110, an evaluation subject may be selected in response to a user operation. Optionally, after the evaluation item is created, the template that fits the evaluation item may be selected. A plurality of evaluation subjects that the evaluation item may relate to may be listed in the template. An evaluation subject may be selected from the plurality of evaluation subjects. The selected evaluation subjects can be evaluated and calculated in the subsequent steps to obtain a corresponding statement.

Fig. 2 shows a schematic diagram of a subject evaluation page to which the method of fig. 1 is applied. Fig. 3 is a partially enlarged schematic view of fig. 2, which shows a schematic view of an advisory sheet measurement page. Fig. 4 is a partially enlarged view of fig. 2, showing an evaluation subject classification navigation page view.

As shown in fig. 4, at least one evaluation subject to which the evaluation item relates may be sorted and ordered. As shown in an example embodiment, the statement in the current assessment project may include unclassified assessment subjects such as: "balance sheet" and "owner equity sheet". The evaluation subjects in the current evaluation item may also include classified evaluation subjects. A plurality of evaluation subjects in the current evaluation item may be classified into a plurality of categories. As shown in an example embodiment, evaluating the subject classification may include: at least one of "liquidity", "non-liquidity", and "liquidity". Wherein an assessment subject belonging to the assessment subject category "liquidity asset" may include: at least one of "monetary fund-cash", "monetary fund-bank deposit", "transactional financial asset", "accounts receivable", "prepaid account", "other accounts receivable", "material procurement (in-transit material)", "raw material", "in-store turnover material", "finished product (stock goods)" and "in-product (homemade semi-finished product)". The assessment subjects belonging to the assessment subject category "non-liquidity assets" may include: at least one of "long term equity investments", "building structures", "construction equipment", "vehicles", "electronic equipment", "intangible assets-land use rights" and "deferred income tax assets".

As shown in fig. 4, an index relationship between the evaluation classification and each evaluation subject may be created from the evaluation subject classification. And a navigation menu as shown in fig. 4 can be created according to the index relationship. After the user clicks on an evaluation subject in the navigation menu, an evaluation page of the evaluation subject may be displayed on the right side of the interface.

Alternatively, the evaluation items may be evaluated in turn in the order of arrangement of the evaluation items in the navigation page shown in fig. 4. And sequentially arranging reporting tables corresponding to the evaluation items in the target evaluation report according to the sequence.

As shown in fig. 1, in S120, data may be extracted from the data set of the evaluation project according to the evaluation subject to form an original reporting table. Alternatively, the raw reporting table may be a data set. Optionally, the original reporting table may be presented in a tabular form, or in other forms. Alternatively, the raw reporting table may be a subset of the data set. Optionally, at least one evaluation object to which the evaluation item relates may be extracted from the data set. And data fields relating to the assessment subject may be extracted from the dataset. Optionally, data may be extracted from the data set according to at least one evaluation object related to the evaluation subject and the data field related to the evaluation subject to form an original declaration form.

Optionally, a field mapping manner may be adopted to extract data fields related to the evaluation subject from the aforementioned data. Data fields related to the assessment subject may be extracted, for example, using an interface such as that described in fig. 5. As shown in FIG. 5, a source field and a destination field are included in the interface. Where the source field may be a field in the aforementioned data set from which the item is evaluated. The destination field may be a field in the original declaration form.

As shown in an example embodiment, the source field may include: at least one of "serial number", "device name", and "specification model". The target field may include: at least one of "serial number", "device name", and "specification model". The source and destination fields within the same row may indicate the field mapping that exists for both. After the field mapping configuration is completed, the fields of the evaluation objects consistent with the source field names can be extracted from the source table into the fields of the evaluation objects consistent with the target field names in the original declaration. As shown in the example embodiment, the names of the target field and the source field of the existing mapping relationship are the same. Alternatively, the names of the destination field and the source field where the mapping exists may be different.

As shown in fig. 1, a calculation method may be selected in S130. Alternatively, the evaluation method may be selected from the area shown in fig. 2 using the page as described in fig. 3. Optionally, the same calculation method may be adopted to calculate the data of each evaluation object in the original statement. Optionally, different calculation methods may be adopted to calculate the data of each evaluation object in the original statement.

As shown in fig. 1, in S140, data may be extracted from the original reporting table according to the selected measurement method to form the original measurement table. Optionally, at least one evaluation object can be selected from the original reporting table in response to a user operation, and a calculation method applied by the selected evaluation object can be selected. And the selected evaluation object can be evaluated by using the selected evaluation method. By using the method, each evaluation object in the original statement form can be measured and calculated in batches by using a proper measuring and calculating method. And backfilling the measurement and calculation results of the selected evaluation objects into the original declaration form to form a declaration form corresponding to the evaluation subject.

The original reporting table presented in tabular form may be included in the page shown in fig. 3. Optionally, each line of the original reporting table may correspond to an evaluation object. The evaluation object may include, as shown in an example embodiment: "electric hoist", "distribution low-voltage switchgear (2 rooms)", "carding machine" … …. The field related to the declaration form "machine equipment" may include at least one of "equipment number", "equipment name", "specification model", and "manufacturer".

At least one evaluation object can be selected from the original reporting table according to user operation. The user can select the evaluation object by clicking '□' of the row where the evaluation object is located, and can also select the evaluation object by mouse drag and drop. Alternatively, the user may select the evaluation object in other ways. Optionally, the at least one evaluation object may be used to generate an analytical reckoning draft.

After the evaluation object is selected, a corresponding measuring and calculating method can be selected for the selected evaluation object. As shown in the example embodiment, the calculation method to be selected can be displayed above the original reporting table. Alternatively, the evaluation method to be selected may be at least one evaluation method that matches the current evaluation item. As shown in an example embodiment, the tape selection evaluation method matched with the current evaluation subject "machine device" may include at least one of "inventory table (machine device)", "price inquiry table (machine device)", and "job analysis table (machine device)".

Alternatively, the evaluation target may be directly evaluated in the page shown in fig. 3 using a preset formula corresponding to the evaluation method. And a measuring and calculating page measuring and estimating object corresponding to the measuring and calculating method can also be entered. For example, some calculation method may involve a plurality of different formulas, and it is difficult to directly calculate the evaluation object in the page shown in fig. 3. Different formulas can be used for different evaluation objects respectively by entering corresponding measuring and calculating pages.

Optionally, before entering the calculation page, the original calculation table corresponding to the calculation method may be extracted from the original calculation table. Alternatively, the raw gauges can be a subset of the raw reporting tables. The original meter can be presented in tabular form, as well as in other forms.

Optionally, at least one evaluation object involved in the calculation method can be selected from the raw reporting table. For example, a page similar to that shown in FIG. 4 can be used to check out evaluation objects from the original reporting table. Optionally, the data fields involved in the calculation method can be selected from the original reporting table. For example, data fields may be extracted from the original reporting table using a field mapping using a page similar to that shown in FIG. 5. Data can be extracted from the original declaration form by using the evaluation object and the data field related to the measurement and calculation method to form an original measurement and calculation form.

As shown in fig. 1, in S150, the data in the original measurement and calculation table may be measured and calculated, and the measurement and calculation result is backfilled into the original reporting table to obtain a reporting table. Optionally, each of the scoring methods may involve at least one secondary scoring method.

Alternatively, the evaluation object may be selected in the original reckoning table using a page similar to that shown in fig. 4. And a suitable secondary measurement method can be selected for the selected evaluation object. And the selected evaluation object can be measured and calculated by using a secondary measuring and calculating method. Alternatively, each evaluation object contained in the original measurement table can be measured in batches by using a suitable secondary measurement method in the manner described above. And the measurement and calculation result can be backfilled into the original measurement and calculation table to form the measurement and calculation table. And backfilling the measurement result in the measurement table into the original reporting table to form the reporting table.

Alternatively, the secondary calculation method may correspond to a formula calculation. And directly measuring and calculating the corresponding evaluation object by using a formula corresponding to the selected secondary measuring and calculating method in the measuring and calculating page. Optionally, the secondary estimation method may also include a plurality of formulas, i.e., may involve a plurality of tertiary estimation methods. And different three-level measuring and calculating methods can be selected by utilizing the two-level measuring and calculating page to measure and calculate the corresponding evaluation object. The second-level measurement and calculation page is similar to the measurement and calculation page and is not repeated. … … the N-1 level measuring and calculating method can also relate to a plurality of N levels measuring and calculating methods, and can select different N levels measuring and calculating methods to measure and calculate corresponding evaluation objects by utilizing N-1 level measuring and calculating pages, wherein N is an integer more than or equal to 2.

As shown in fig. 1, in S160, at least one reporting table may be summarized, and a target evaluation report may be generated according to a preset composition template.

At least one reporting table can be summarized to obtain a reporting table. Optionally, the association relationship between the summary table and the reporting table may be configured. And generating a summary table from the statement table according to the association relation. Optionally, multiple summary tables may be provided. The plurality of summary tables may also be configured as a multi-level tree. I.e., each higher level summary table may be associated with multiple lower level summary tables. The plurality of lower level summary tables may be aggregated to generate a higher level summary table.

Fig. 6 shows a schematic diagram of a summary table in the method of fig. 1.

As shown in FIG. 6, the summary tables in the system may include three levels of a summary table (i.e., "summary table" in the example embodiment), a high level sorted summary table, and a low level sorted summary table. As shown in fig. 6, the summary sheet may be composed of several high-level classification sheets of "liquidity summary sheet", "non-liquidity summary sheet", "liquidity summary sheet" and "non-liquidity summary sheet". The "liquidity summary" can be summarized by several low-level classification summaries, such as "money and capital summary", "transactional money and financing fund summary", "inventory summary". The "non-liquidity capital summary" can be summarized by the "financial capital for sale" summary table, the "capital house" summary table, the "fixed asset summary table", the "project summary table under construction" and the "intangible asset summary table".

The various reporting tables and the summary table can be summarized to form an evaluation detail table, namely an evaluation report manuscript. And may then invoke a composition template appropriate for the current assessment project. And generating a target evaluation report by using the composition template and the evaluation detail table.

As shown in fig. 7, the apparatus 2000 may include: the report form classification management unit 21, the report form data extraction unit 22, the report form calculation unit 23, and the report generation unit 24.

The reporting table classification management unit 21 may classify and manage a plurality of reporting tables related to the target evaluation report. The statement classification management unit 21 may perform classification and ranking on a plurality of evaluation subjects related to the target evaluation report by using the navigation page shown in fig. 4. So that the user can quickly search for the evaluation subject. When the user clicks the evaluation subject in the navigation page, the user can jump to the measurement and calculation page corresponding to the statement table shown in fig. 3. The data are extracted from the data set related to the evaluation project by the reporting data extracting unit 22 and the evaluation of the selected evaluation subject is performed by the reporting calculating unit 23.

As shown in fig. 7, the reporting data extracting unit 22 may be configured to extract data from the data set related to the evaluation project, and generate an original reporting table. The report calculation unit 22 may include an evaluation object selector 221 and a field mapper 222. Wherein the evaluation object selector 221 may be configured to determine at least one evaluation object from the source table. Where the source table may be the aforementioned data set of the assessment item. The source table may include at least one table included in the evaluation item. The source table may store raw data, process data, and/or result data for each evaluation object in the evaluation project. Each evaluation object may correspond to at least one row in the source table.

In the source table, the data referred to by each evaluation object is represented as respective fields in the source table. The field mapper 222 may be utilized to determine the mapping of the fields of the target table to the fields of the source table. Wherein the target table may be an original reporting table. The reporting data extracting unit 22 may extract data from the source table according to the evaluation object selected by the evaluation object selector 221 and the field mapping relationship defined by the field mapper 222, and generate an original reporting table. Optionally, a check relation between the original reporting table and the source table can be automatically created according to the mapping relation between the at least one evaluation object and the field. Alternatively, field mapper 222 may provide an interface as shown in FIG. 5. And the field mapping relationships may be edited using an interface as shown in fig. 5.

The original reporting table required for the reporting table to be generated can be extracted from the source table by using the evaluation object selector 221 and the field mapper 222 included in the reporting table data extracting unit 22. The raw reporting form can be a relatively refined data form. The statement table is used for generating the statement table, so that interference of irrelevant data on statement table generation work can be avoided. So that the report writer can clearly and accurately operate the original reporting form. The work efficiency of the operators can be improved and errors can be avoided in the report writing process.

As shown in fig. 7, the statement quantity calculating unit 23 can be configured to calculate each evaluation object related to the original statement quantity. Optionally, the same calculation method may be used to evaluate the evaluation object in the original reporting form, and different calculation methods may also be used to evaluate the evaluation object in the original reporting form.

Optionally, at least one evaluation object may be selected in the raw reporting table. And corresponding algorithm methods may be selected. And measuring and calculating the selected evaluation object. The evaluation object in the original statement can be evaluated in a batch manner by using the above method.

Alternatively, the estimation method can be expressed as a formula. The corresponding set of evaluation objects can be calculated by using the formula corresponding to the calculation method. Alternatively, the measurement method may be expressed as a plurality of different formulas, that is, may correspond to a plurality of secondary measurement methods. The corresponding measuring and calculating page can be entered after the measuring and calculating method is selected. Data can be extracted from the original reporting table to form an original measuring and calculating table. And an evaluation object can be selected in the original measuring and calculating table, and a secondary measuring and calculating method can be selected. And the selected evaluation object can be evaluated, calculated and selected by using a selected secondary calculation method.

Optionally, the declaration form calculation unit 23 may include a primary calculation form data extraction unit 231 and a primary calculation unit 232. The primary measurement and calculation data extraction unit 231 may be configured to extract data from the original reporting table to obtain a primary original measurement and calculation table. The primary measurement data extracting unit 231 may be similar to the reporting data extracting unit 22 and will not be described herein.

The primary evaluation unit 232 may involve at least one secondary evaluation method. The primary measurement and calculation unit 232 evaluates the measurement and calculation and the evaluation object in the original measurement and calculation table by using different secondary measurement and calculation methods, respectively. The primary calculating unit 232 may be similar to the reporting table calculating unit 23, and is not described herein.

Similarly, the primary meter unit 232 may also include a secondary meter data extraction unit (not shown) and a secondary meter unit (not shown). Wherein each secondary evaluation unit can relate to at least one tertiary evaluation method. … … are provided. The N-1 stage reckoning unit may include an N-stage reckoning data extracting unit (not shown) and an N-stage reckoning unit (not shown) where N is an integer of 2 or more. The N-level gauging unit may relate to at least one N + 1-level gauging method.

Alternatively, each stage of the calculation data extraction unit and each stage of the calculation unit may be similar. Alternatively, each stage of the calculation data extraction unit and each stage of the calculation unit may be different. Alternatively, each stage of the calculation data extraction unit and each stage of the calculation unit can adopt the same component and can be realized in a recursive calling mode.

As shown in fig. 7, the report generation unit 24 may integrate the reports generated by the report calculation unit 23. And can list the reporting forms together according to the classification and the sequence specified by the reporting form classification management unit 21 to obtain a target evaluation report.

An electronic device 200 according to this embodiment of the present application is described below with reference to fig. 8. The electronic device 200 shown in fig. 8 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.

As shown in fig. 8, the electronic device 200 is embodied in the form of a general purpose computing device. The components of the electronic device 200 may include, but are not limited to: at least one processing unit 210, at least one memory unit 220, a bus 230 connecting different system components (including the memory unit 220 and the processing unit 210), a display unit 240, and the like.

Wherein the storage unit stores program code executable by the processing unit 210 to cause the processing unit 210 to perform the methods according to various exemplary embodiments of the present application described herein. For example, the processing unit 210 may perform the method for asset infrastructure online operations as shown in fig. 1-6.

The storage unit 220 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)2201 and/or a cache memory unit 2202, and may further include a read only memory unit (ROM) 2203.

The storage unit 220 may also include a program/utility 2204 having a set (at least one) of program modules 2205, such program modules 2205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, and in some combination, may comprise an implementation of a network environment.

Bus 230 may be any representation of one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

The electronic device 200 may also communicate with one or more external devices 300 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 200, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 200 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 250. Also, the electronic device 200 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the Internet) via the network adapter 260. The network adapter 260 may communicate with other modules of the electronic device 200 via the bus 230. It should be appreciated that although not shown, other hardware and/or software modules may be used in conjunction with electronic device 200, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.

As will be appreciated by one skilled in the art, aspects of the present application may be embodied as a system, method or computer program product. Accordingly, this application may take the form of an entirely hardware embodiment, an entirely software embodiment (including firmware, resident software, micro-code, etc.) or an embodiment combining software and hardware aspects that may all generally be referred to as a "circuit," module "or" system. Furthermore, the present application may take the form of a computer program product embodied in any tangible expression medium having computer usable program code embodied in the medium.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable medium that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable medium produce an article of manufacture including instruction means which implement the function/act specified in the flowchart and/or block diagram block or blocks.

The computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments. The technical features of the embodiments may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the description of the embodiments is only intended to facilitate the understanding of the methods and their core concepts of the present application. Meanwhile, a person skilled in the art should, according to the idea of the present application, change or modify the embodiments and applications of the present application based on the application scope of the present application. In view of the above, the description should not be taken as limiting the application.

Claims

1. A method for asset fundamentals online operations, comprising:

selecting an evaluation subject according to a preset evaluation item;

extracting data from the data set of the evaluation project according to the evaluation subject to form an original statement;

selecting a measuring and calculating method;

extracting data from the original reporting form according to the measuring and calculating method to form an original measuring and calculating form;

measuring and calculating data in the original measuring and calculating table, and backfilling a measuring and calculating result into the original reporting table to obtain a reporting table;

and summarizing at least one statement form, and generating a target evaluation report according to a preset template.

2. The method of claim 1, further comprising: and classifying and ordering at least one evaluation subject related to the evaluation item.

3. The method of claim 1, wherein said extracting data from said dataset of assessment items to form a raw declaration form comprises:

extracting at least one assessment subject involved in the assessment subject from the dataset;

extracting data fields related to the assessment subject from the dataset;

and extracting data from the data set according to at least one evaluation object related to the evaluation subject and the data field related to the evaluation subject to form an original statement.

4. The method of claim 1, wherein said extracting data from said raw reporting form according to said method of measurement and calculation to form a raw measurement and calculation form comprises:

selecting at least one evaluation object related to the measuring and calculating method from the original reporting table;

selecting at least one data field related to the measuring and calculating method from the original reporting table;

and extracting data from the original statement table according to at least one evaluation object related to the measuring and calculating method and at least one data field related to the measuring and calculating method to form an original measuring and calculating table.

5. The method of claim 4, further comprising:

and backfilling the measurement and calculation result into the original measurement and calculation table to obtain the measurement and calculation table.

6. The method of claim 4, wherein the gauging method comprises: a first-level measuring and calculating method, a second-level measuring and calculating method, … … and an N-level measuring and calculating method, wherein N is an integer more than or equal to 2.

7. The method of claim 1, wherein said aggregating at least one of said reporting tables and generating a target assessment report according to a predetermined template comprises:

summarizing at least one statement table to obtain an evaluation statement table;

and generating a target evaluation report according to the evaluation list and the preset template.

8. The method of claim 1, wherein the method is used to implement online operations for asset valuation according to an asset funding method.

9. An apparatus for asset funding online operations, comprising:

the reporting table classification management unit is used for classifying and managing at least one reporting table related to the target evaluation report;

the report form data extraction unit extracts data from the data related to the target evaluation report to obtain an original report form;

the statement measuring and calculating unit is used for measuring and calculating the data in the original statement and backfilling a measuring and calculating result into the original statement to obtain the statement;

and the report generation unit is used for summarizing the at least one reporting table and generating the target evaluation report.

10. An electronic device comprising a memory and a processor, and a program stored in the memory and recognizable to the processor, the program when executed causing the processor to perform the method of any of claims 1-8.

11. A storage medium storing a program recognizable by a processor, the processor performing the method of any one of claims 1-8 when the program is executed.