A method for realizing automatic docking of system asset cards based on trend analysis

Abstract

The present invention provides a method for realizing automatic docking of system asset cards based on trend analysis. The method collects relevant data of system asset cards, processes the relevant data using trend analysis method, obtains future change trend of asset cards, sets automatic processing rules, automatically processes relevant data based on the automatic processing rules, obtains standard relevant data, determines which fields in asset cards correspond to which fields in financial or other systems, and determines which rules are the key to realizing automatic data docking. Based on the data standards and data protocols of the system and the docking system, an interface is developed to obtain a docking interface. Based on the docking interface, data synchronization and exception processing of standard relevant data in the system and the docking system are carried out. The system can monitor the status and changes of asset cards in real time, discover potential problems and risks in time, and ultimately significantly improve the efficiency and accuracy of system asset management.

Description

Technical Field

[0001] The present invention relates to the technical field of data docking, and in particular to a method for realizing automatic docking of system asset cards based on trend analysis. Background Art

[0002] The following are the common system asset card docking processes used in current projects:

[0003] 1. API Interface Integration: This approach uses application programming interfaces (APIs) to enable data exchange between asset management systems and financial or other related systems. This approach offers strong real-time performance and high data accuracy, making it suitable for scenarios requiring frequent data exchange. However, differences in technical architecture, data models, and interface specifications between different systems can make integration difficult.

[0004] 2. File Import / Export: Export asset card information from the asset management system into files in formats such as Excel and CSV, and then import these files into other systems. Field mapping, data cleansing, and format conversion may be required during the import process. This method is particularly suitable for situations with large data volumes or where the inter-system interfaces do not directly support real-time data exchange. However, exporting an asset card list from the asset system and then importing it into the financial system requires field mapping and data cleansing during the import process.

[0005] 3. Database Link: Both systems allow direct access to their databases, enabling data exchange through database linking. However, the database security and stability must be ensured during the connection process, while also complying with relevant laws, regulations, and privacy policies.

[0006] 4. Middleware or Data Integration Platform: Middleware is an independent system software or service program that sits between the client and server, handling tasks such as data exchange and format conversion. A data integration platform is a software platform specifically designed to facilitate data exchange and integration between different systems, supporting complex data conversion and synchronization requirements. This method has the following characteristics: The integration process may involve the transmission and processing of large amounts of data, placing pressure on system performance. Regular system operation and maintenance may be required after integration to ensure the proper functioning of the integration. Summary of the Invention

[0007] The present invention provides a method for realizing automatic docking of system asset cards based on trend analysis, so as to solve the problems raised in the background technology.

[0008] A method for realizing automatic docking of system asset cards based on trend analysis, comprising:

[0009] S1: Collect relevant data of system asset cards, process the relevant data using trend analysis method, and obtain the future change trend of asset cards;

[0010] S2: Based on future change trends, set automation processing rules, automatically process relevant data based on the automation processing rules, and obtain standard relevant data;

[0011] S3: Based on the data standards and data protocols of the system and the docking system, develop the interface to obtain the docking interface;

[0012] S4: Based on the docking interface, synchronize standard-related data between the system and the docking system and handle exceptions.

[0013] Preferably, in S1, relevant data of the system asset cards are collected, and the relevant data are processed using a trend analysis method to obtain future change trends of the asset cards, including:

[0014] Scan the QR code on the asset card to enter and update asset information, obtain relevant data, and clean and pre-process the relevant data to obtain processed relevant data;

[0015] Depreciation data is extracted from the processed relevant data, and the depreciation data is input into the linear trend analysis method-linear regression model to output the future change trend of the asset card.

[0016] Preferably, in S2, based on future change trends, automatic processing rules are set, and the relevant data are automatically processed based on the automatic processing rules to obtain standard relevant data, including:

[0017] Set up data cleaning and specification standards, business indicator calculation data standards, anti-fraud data standards, and calculation and display data standards as data processing tasks, and establish automated processing rules.

[0018] The relevant data is connected to the data entry of the automatic processing rule, data conversion is performed based on the automatic processing rule, and standard relevant data is obtained from the data exit of the automatic processing rule and stored.

[0019] Preferably, in S3, based on the data standards and data protocols of the system and the docking system, interface development is performed to obtain the docking interface, including:

[0020] Establish a common data model based on the common data features between the system's data standards and the docking system's data standards, and establish a common data interface based on the common data model;

[0021] Based on the different data characteristics between the system's data standards and the docking system's data standards and the data protocols between the system and the docking system, the universal data interface is secondary developed to obtain the docking interface.

[0022] Preferably, the second development of the universal data interface based on the different data features between the data standard of the system and the data standard of the docking system and the data protocol between the system and the docking system to obtain the docking interface includes:

[0023] Performing structural analysis on the different data features based on a preset data structure analysis method to obtain a data hierarchical structure, and obtaining a layer structure of each data layer from the data hierarchical structure;

[0024] Determining a first mapping value based on the data layer, determining a second mapping value based on the layer structure, determining a mapping relationship between data features and interface programming based on the first mapping value and the second mapping value, and obtaining an interface language file based on the mapping relationship;

[0025] Based on the interface language file and the preset template features, the template information corresponding to different data features is obtained according to the matching results;

[0026] Matching the template information with the data protocol of the system and the docking system based on data features, and establishing a data protocol table according to the content matching result between the template information and the data protocol;

[0027] Based on the hierarchical relationship of the data protocol table, configuration information at the universal data interface is determined, and based on the configuration information, the data protocol table is configured at the universal data interface to obtain a docking interface.

[0028] Preferably, based on matching the interface language file with the preset template features, template information corresponding to different data features is obtained according to the matching results, including:

[0029] Parse the interface language file to obtain key language features;

[0030] Get the content key features of the preset template features;

[0031] Matching the language key features with the content key features to obtain a matching result;

[0032] Based on the matching results, the interface language file is matched with the preset template to obtain template information corresponding to different data features.

[0033] Preferably, in S4, synchronizing the standard-related data between the system and the docking system based on the docking interface includes:

[0034] Based on the data content characteristics of the system and the docking system, data association rules are established through the docking interface;

[0035] Based on data association rules, standard-related data is mapped to the docking system for data synchronization.

[0036] Preferably, based on the data content characteristics of the system and the docking system, data association rules are established through the docking interface, including:

[0037] Acquire a first key field and a second key field in data content features of the system and the docking system, and standardize the first key field and the second key field to obtain a first standard key field and a second standard key field;

[0038] Matching the first standard key field with the second standard key field to obtain a basic field matching result;

[0039] Based on the database of the system and the docking system, obtaining the first other field and the second other field, matching the first other field and the second other field to obtain a special field matching result;

[0040] Establish field association rules based on basic field matching results and special field matching results;

[0041] Obtain a first storage location of the first key field in the system, and obtain a second storage location of the second key field in the docking system;

[0042] Based on the field association rule, in combination with the mapping relationship between the first storage location and the second storage location, a location association rule is established;

[0043] Match the field association rules and the position association rules to obtain the data association rules.

[0044] Preferably, based on data association rules, standard-related data is mapped to the docking system for data synchronization, including:

[0045] The system sets a callback interface from the docking interface to receive messages and notifications from the docking system;

[0046] Transmitting standard-related data to the docking system via the callback interface;

[0047] After receiving the standard-related data, the docking system determines the mapping relationship of the standard-related data based on the data association rules, establishes a data docking process based on the mapping relationship, and synchronizes the data based on the data docking process.

[0048] Preferably, in S4, based on the docking interface, abnormal processing of standard-related data in the system and the docking system includes:

[0049] Based on the docking interface, the system monitors the data synchronization status with the docking system in real time;

[0050] When an exception occurs in data synchronization, the error information is automatically recorded and an exception reminder is sent to the system through the docking interface.

[0051] Compared with the prior art, the present invention has achieved the following beneficial effects:

[0052] By collecting relevant data from system asset cards and processing it using trend analysis, we can determine future trends in asset cards. This allows us to analyze asset data and predict future development trends, helping companies better understand key indicators such as asset usage, maintenance needs, and depreciation. Based on future trends, we can set automated processing rules. These rules automatically process relevant data to obtain standard data and determine which fields in asset cards correspond to which fields in financial or other systems. These rules are key to achieving automated data docking. Based on the data standards and protocols between the system and the docking system, we develop interfaces to obtain docking interfaces, ensuring standardized data interfaces between systems, including data formats and transmission protocols, to facilitate seamless data exchange. Based on the docking interfaces, we synchronize standard data between the two systems and handle exceptions. The system can monitor the status and changes of asset cards in real time, promptly identify potential problems and risks, and ultimately significantly improve the efficiency and accuracy of system asset management.

[0053] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be achieved and obtained through the structures specifically pointed out in this application document.

[0054] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0056] Figure 1 This is a flow chart of a method for realizing automatic docking of system asset cards based on trend analysis in an embodiment of the present invention;

[0057] Figure 2 A flowchart of processing data according to an automated processing rule in an embodiment of the present invention;

[0058] Figure 3 This is a specific example diagram of data synchronization based on a work order system in an embodiment of the present invention. DETAILED DESCRIPTION

[0059] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0060] Example 1:

[0061] The embodiment of the present invention provides a method for realizing automatic docking of system asset cards based on trend analysis, such as Figure 1 As shown, including:

[0062] S1: Collect relevant data of system asset cards, process the relevant data using trend analysis method, and obtain the future change trend of asset cards;

[0063] S2: Based on future change trends, set automation processing rules, automatically process relevant data based on the automation processing rules, and obtain standard relevant data;

[0064] S3: Based on the data standards and data protocols of the system and the docking system, develop the interface to obtain the docking interface;

[0065] S4: Based on the docking interface, synchronize standard-related data between the system and the docking system and handle exceptions.

[0066] In this embodiment, the relevant data of the asset card includes but is not limited to the asset number, name, specifications, purchase date, usage status, depreciation, etc. The data source can be an existing asset management system, financial system or ERP system.

[0067] In this embodiment, the asset card data originates from the company's financial and asset management areas, covering basic asset information, financial and depreciation information, physical and location information, and acquisition and maintenance information. This data constitutes the cornerstone of enterprise asset management and provides strong support for corporate decision-making.

[0068] In this embodiment, the specific examples of the relevant data of the asset card are: asset code: a code used to uniquely identify an asset. For example, the land card number 1010000 represents the unique code of the land occupied by a school; asset name: the name of the asset, such as teaching buildings, servers, etc.; asset category: the classification of assets, such as land, houses, structures, general equipment, special equipment, cultural relics and exhibits, books and archives, furniture, utensils, and animals and plants, etc.; usage status: the current usage status of the asset, such as in use, idle, and other; management department: the department responsible for managing the asset; original value: the original value of the asset; accumulated depreciation: the total amount of depreciation that has been accrued since the asset was put into use; net value: the value after deducting the accumulated depreciation from the original value of the asset, that is, the current book value of the asset; depreciation Method: The method used to calculate depreciation, such as the straight-line method or accelerated depreciation method; Estimated useful life: The estimated number of years the asset can be used, used to calculate depreciation; Quantity: The number of assets, such as the land use right area or the building area of ​​a house; Specifications and models: The specifications and models of the asset, such as the processor model of a computer or the size of office equipment; Storage location: The specific location where the asset is stored; Using department: The department that actually uses the asset; Acquisition method: The method of acquiring the asset, such as new purchase, transfer, or donation; Acquisition date: The date the asset was acquired; Supplier: The supplier or manufacturer that provided the asset; Maintenance records: The asset's maintenance history;

[0069] For example, taking a company's office building as an example, its asset card may contain the following data: Asset code: 1020001; Asset name: Office building; Asset category: Building; Usage status: In use; Management department: Logistics Department; Original value: 50 million yuan; Accumulated depreciation: 10 million yuan; Net value: 40 million yuan; Depreciation method: Straight-line method; Estimated useful life: 50 years; Quantity: Building area of ​​10,000 square meters; Specification model: Two-story building; Storage location: Within the company's park; Using department: General Management Department; Acquisition method: Self-built; Acquisition date: September 1, 2010; Supplier: None (self-built project).

[0070] The beneficial effects of the above design scheme are as follows: by collecting relevant data from the system's asset cards and processing the relevant data using trend analysis methods, the future change trends of the asset cards are obtained, the asset data can be analyzed, and future development trends can be predicted, which can help enterprises better understand key indicators such as asset usage, maintenance needs, and depreciation. Based on future change trends, automated processing rules are set. Based on the automated processing rules, the relevant data is automatically processed to obtain standard relevant data, and which fields in the asset card correspond to which fields in the financial or other systems. These rules are the key to achieving automated data docking. Based on the data standards and data protocols of the system and the docking system, an interface is developed to obtain a docking interface, ensuring the standardization of data interfaces between the systems, including data formats and transmission protocols, to facilitate seamless data exchange. Based on the docking interface, standard relevant data is synchronized and exception handling is performed between the system and the docking system. The system can monitor the status and changes of asset cards in real time, promptly identify potential problems and risks, and ultimately significantly improve the efficiency and accuracy of system asset management.

[0071] Example 2:

[0072] Based on Example 1, this embodiment of the present invention provides a method for automatically docking system asset cards based on trend analysis. In S1, relevant data of system asset cards are collected, and the relevant data are processed using a trend analysis method to obtain future change trends of the asset cards, including:

[0073] Scan the QR code on the asset card to enter and update asset information, obtain relevant data, and clean and pre-process the relevant data to obtain processed relevant data;

[0074] Depreciation data is extracted from the processed relevant data, and the depreciation data is input into the linear trend analysis method-linear regression model to output the future change trend of the asset card.

[0075] In this embodiment, depreciation data refers to the financial and depreciation information collected from asset card data. This data primarily includes the asset's original value (i.e., the asset's initial acquisition cost), accumulated depreciation (the total depreciation accrued from the asset's acquisition to the current time), net value (the asset's original value minus accumulated depreciation), depreciation method (e.g., straight-line, accelerated), and estimated useful life (the estimated length of time used to calculate depreciation).

[0076] The basic form of linear trend analysis-linear regression model can be expressed as:

[0077] Y=β0+β1X1+β2X2+…+βnXn+∈

[0078] Where β0, β1, …, βn are the model parameters, also known as regression coefficients. β0 is the intercept term, which represents the expected value of the dependent variable when all independent variables are equal to 0. β1, …, βn represent the degree of influence of each independent variable on the dependent variable.

[0079] ∈ is a random error term, which represents the impact of other factors or random changes not included in the model on Y.

[0080] The beneficial effects of the above design scheme are: by collecting relevant data from the system asset cards and processing the relevant data using trend analysis methods, the future change trends of the asset cards can be obtained, the asset data can be analyzed, and future development trends can be predicted, which can help enterprises better understand key indicators such as asset usage, maintenance needs and depreciation.

[0081] Example 3:

[0082] Based on Example 1, this embodiment of the present invention provides a method for realizing automatic docking of system asset cards based on trend analysis. In S2, based on future change trends, automatic processing rules are set, and relevant data is automatically processed based on the automatic processing rules to obtain standard relevant data, including:

[0083] Set up data cleaning and specification standards, business indicator calculation data standards, anti-fraud data standards, and calculation and display data standards as data processing tasks, and establish automated processing rules.

[0084] The relevant data is connected to the data entry of the automatic processing rule, data conversion is performed based on the automatic processing rule, and standard relevant data is obtained from the data exit of the automatic processing rule and stored.

[0085] In this embodiment, the process of processing data by the automated processing rules is as follows: Figure 2 As shown, the cleaning and specification data standards, the stitching of business indicator calculation data standards, the anti-cheating data standards and the calculation and display data standards are taken as data processing level tasks in turn.

[0086] The beneficial effects of the above design scheme are: by taking the cleaning specification data standards, stitching business indicator calculation data standards, anti-fraud data standards and calculation display data standards as data processing level tasks in sequence, establishing automatic processing rules, connecting the relevant data to the data entry of the automatic processing rules, performing data conversion based on the automatic processing rules, obtaining standard related data from the data exit of the automatic processing rules and storing them, ensuring the accuracy and reliability of the data, and providing a high-quality data foundation for the automatic docking of unified asset cards.

[0087] Example 4:

[0088] Based on Example 1, this embodiment of the present invention provides a method for realizing automatic docking of system asset cards based on trend analysis. In S3, based on the data standards and data protocols of the system and the docking system, an interface is developed to obtain a docking interface, including:

[0089] Establish a common data model based on the common data features between the system's data standards and the docking system's data standards, and establish a common data interface based on the common data model;

[0090] Based on the different data characteristics between the system's data standards and the docking system's data standards and the data protocols between the system and the docking system, the universal data interface is secondary developed to obtain the docking interface.

[0091] The beneficial effects of the above design scheme are: by establishing a common data model based on the common data features between the system's data standards and the docking system's data standards, and establishing a common data interface based on the common data model, the common data interface is secondary developed based on the different data features between the system's data standards and the docking system's data standards and the data protocol between the system and the docking system to obtain a docking interface, ensuring the standardization of data interfaces between systems, including data formats, transmission protocols, etc., to facilitate seamless data exchange.

[0092] Example 5:

[0093] Based on Example 4, this embodiment of the present invention provides a method for realizing automatic docking of system asset cards based on trend analysis. The method comprises:

[0094] Performing structural analysis on the different data features based on a preset data structure analysis method to obtain a data hierarchical structure, and obtaining a layer structure of each data layer from the data hierarchical structure;

[0095] Determining a first mapping value based on the data layer, determining a second mapping value based on the layer structure, determining a mapping relationship between data features and interface programming based on the first mapping value and the second mapping value, and obtaining an interface language file based on the mapping relationship;

[0096] Based on the interface language file and the preset template features, the template information corresponding to different data features is obtained according to the matching results;

[0097] Matching the template information with the data protocol of the system and the docking system based on data features, and establishing a data protocol table according to the content matching result between the template information and the data protocol;

[0098] Based on the hierarchical relationship of the data protocol table, configuration information at the universal data interface is determined, and based on the configuration information, the data protocol table is configured at the universal data interface to obtain a docking interface.

[0099] In this embodiment, the interface language file is a language file required for the development of the docking interface.

[0100] In this embodiment, the data protocol table includes transmission protocol information between systems and transmission protocol information between data.

[0101] In this embodiment, the preset template features are pre-designed based on the interface establishment resources, and the template information is used to implement the configuration of the docking interface.

[0102] The beneficial effects of the above design scheme are as follows: by performing structural analysis on the different data features based on a preset data structure analysis method, a data hierarchical structure is obtained, and the layer structure of each data layer is obtained from the data hierarchical structure; a first mapping value is determined based on the data layer, a second mapping value is determined based on the layer structure, a mapping relationship between the data feature and the interface programming is determined based on the first mapping value and the second mapping value, and an interface language file is obtained based on the mapping relationship; the interface language file is matched with the preset template features, and template information corresponding to different data features is obtained based on the matching results; the template information is matched with the data protocol of the system and the docking system based on the data features, and a data protocol table is established based on the content matching results between the template information and the data protocol; configuration information of the universal data interface is determined based on the hierarchical relationship of the data protocol table, and a data protocol table is configured at the universal data interface based on the configuration information to obtain a docking interface to facilitate seamless data exchange. Based on the docking interface, data synchronization and exception handling of standard-related data between the system and the docking system are performed. The system can monitor the status and changes of asset cards in real time, promptly discover potential problems and risks, and ultimately significantly improve the efficiency and accuracy of system asset management.

[0103] Example 6:

[0104] Based on Example 5, this embodiment of the present invention provides a method for realizing automatic docking of system asset cards based on trend analysis, matching the interface language file with the preset template features, and obtaining template information corresponding to different data features based on the matching results, including:

[0105] Parse the interface language file to obtain key language features;

[0106] Get the content key features of the preset template features;

[0107] Matching the language key features with the content key features to obtain a matching result;

[0108] Based on the matching results, the interface language file is matched with the preset template to obtain template information corresponding to different data features.

[0109] The beneficial effects of the above design scheme are: by parsing the interface language file, the language key features are obtained; the content key features of the preset template features are obtained; the language key features and the content key features are matched to obtain matching results; based on the matching results, the interface language file is matched with the preset template to obtain template information corresponding to different data features, providing a basis for the development of the docking interface.

[0110] Example 7:

[0111] Based on Example 1, this embodiment of the present invention provides a method for realizing automatic docking of system asset cards based on trend analysis. In S4, based on the docking interface, data synchronization of standard-related data between the system and the docking system is performed, including:

[0112] Based on the data content characteristics of the system and the docking system, data association rules are established through the docking interface;

[0113] Based on data association rules, standard-related data is mapped to the docking system for data synchronization.

[0114] The beneficial effects of the above design scheme are: by establishing data association rules through the docking interface based on the data content characteristics of the system and the docking system; based on the data association rules, the standard related data is mapped to the docking system for data synchronization, thereby realizing automatic docking of asset cards.

[0115] Example 8:

[0116] Based on Example 7, this embodiment of the present invention provides a method for automatically docking system asset cards based on trend analysis. Based on the data content characteristics of the system and the docking system, data association rules are established through the docking interface, including:

[0117] Acquire a first key field and a second key field in data content features of the system and the docking system, and standardize the first key field and the second key field to obtain a first standard key field and a second standard key field;

[0118] Matching the first standard key field with the second standard key field to obtain a basic field matching result;

[0119] Based on the database of the system and the docking system, obtaining the first other field and the second other field, matching the first other field and the second other field to obtain a special field matching result;

[0120] Establish field association rules based on basic field matching results and special field matching results;

[0121] Obtain a first storage location of the first key field in the system, and obtain a second storage location of the second key field in the docking system;

[0122] Based on the field association rule, in combination with the mapping relationship between the first storage location and the second storage location, a location association rule is established;

[0123] Match the field association rules and the position association rules to obtain the data association rules.

[0124] In this embodiment, the system corresponds to the first key field, and the docking system corresponds to the second key field.

[0125] In this embodiment, the system database corresponds to the first other field, and the database of the docking system corresponds to the second other field. The other fields are used to obtain special field matching results to provide an association rule basis for the subsequent data docking between the system and the docking system, enriching the field content of the field association rule.

[0126] The beneficial effects of the above design scheme are: by obtaining the first key field and the second key field in the data content characteristics of the system and the docking system, and standardizing the first key field and the second key field, the first standard key field and the second standard key field are obtained; the first standard key field and the second standard key field are matched to obtain the basic field matching result; based on the database of the system and the docking system, the first other field and the second other field are obtained, and the first other field and the second other field are matched to obtain the special field matching result; based on the basic field matching result and the special field matching result, a field association rule is established; the first storage location of the first key field in the system is obtained, and the second storage location of the second key field in the docking system is obtained; based on the field association rule, in combination with the mapping relationship between the first storage location and the second storage location, a location association rule is established; the field association rule and the location association rule are matched to obtain the data association rule, which provides a basis for realizing automatic data docking, enables the system to monitor the status and changes of asset cards in real time, promptly discovers potential problems and risks, and ultimately significantly improves the efficiency and accuracy of system asset management.

[0127] Example 9:

[0128] Based on Example 7, this embodiment of the present invention provides a method for automatically docking system asset cards based on trend analysis. Based on data association rules, standard-related data is mapped to the docking system for data synchronization, including:

[0129] The system sets a callback interface from the docking interface to receive messages and notifications from the docking system;

[0130] Transmitting standard-related data to the docking system via the callback interface;

[0131] After receiving the standard-related data, the docking system determines the mapping relationship of the standard-related data based on the data association rules, establishes a data docking process based on the mapping relationship, and synchronizes the data based on the data docking process.

[0132] In this embodiment, data synchronization is based on a specific example of a work order system such as Figure 3 As shown,

[0133] Work order system preset callback interface: The work order system presets a callback interface for receiving subsequent messages and notifications.

[0134] Send work order parameters: The work order system sends the work order parameters to the message reminder system through this callback interface. These work order parameters may include work order details, type, priority, etc.

[0135] Message reminder system notification: After receiving the work order parameters, the message reminder system will send a message to the work order system to notify it that the status of the work order approval process needs to be updated.

[0136] Update the work order approval process: After receiving the notification, the work order system will update the work order approval process based on the work order parameters and current approval rules.

[0137] Return service activation information through a new interface: After the approval process is updated, the work order system will return the service activation return code and related information to the service activation module through a new interface.

[0138] Sending opinion information: After receiving the service activation return code and service activation information, the service activation module will generate opinion information based on the actual situation and send this opinion information back to the work order system.

[0139] The application platform receives information: Ultimately, the application platform will obtain the updated work order information, service activation return code, service activation information, and opinion information from the work order system or other related systems for subsequent processing or display.

[0140] The entire process is automated without manual intervention, which improves work efficiency and accuracy. At the same time, the process also embodies the collaborative work and information sharing between different systems.

[0141] The beneficial effects of the above design are as follows: the system sets a callback interface within the docking interface to receive messages and notifications from the docking system; standard-related data is transmitted to the docking system via this callback interface; upon receiving the standard-related data, the docking system determines the mapping relationship of the standard-related data based on data association rules, establishes a data docking process based on the mapping relationship, and synchronizes data based on the data docking process, achieving real-time or scheduled synchronization of system asset card data. When asset card data changes, it can be automatically updated in other related systems to maintain data consistency.

[0142] Example 10:

[0143] Based on Example 7, this embodiment of the present invention provides a method for automatically docking system asset cards based on trend analysis. In S4, based on the docking interface, exception handling of standard-related data between the system and the docking system is performed, including:

[0144] Based on the docking interface, the system monitors the data synchronization status with the docking system in real time;

[0145] When an exception occurs in data synchronization, the error information is automatically recorded and an exception reminder is sent to the system through the docking interface.

[0146] The beneficial effects of the above design scheme are: based on the docking interface, the system monitors the data synchronization status with the docking system in real time; when an abnormality occurs in data synchronization, the error information is automatically recorded and an abnormal reminder is sent to the system through the docking interface, which helps to promptly discover and solve problems that arise during the docking process.

[0147] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of this application document and its equivalents, the present invention is intended to include these modifications and variations.

Claims

1. A method for realizing automatic docking of system asset cards based on trend analysis, characterized in that: include: S1: Collect relevant data of system asset cards, process the relevant data using trend analysis method, and obtain the future change trend of asset cards; S2: Based on future change trends, set automation processing rules, automatically process relevant data based on the automation processing rules, and obtain standard relevant data; S3: Based on the data standards and data protocols of the system and the docking system, interface development is performed to obtain the docking interface, including: Establish a common data model based on the common data features between the system's data standards and the docking system's data standards, and establish a common data interface based on the common data model; Based on the different data characteristics between the system's data standards and the docking system's data standards, as well as the data protocols between the system and the docking system, the universal data interface is secondary developed to obtain the docking interface, including: Performing structural analysis on the different data features based on a preset data structure analysis method to obtain a data hierarchical structure, and obtaining a layer structure of each data layer from the data hierarchical structure; Determining a first mapping value based on the data layer, determining a second mapping value based on the layer structure, determining a mapping relationship between data features and interface programming based on the first mapping value and the second mapping value, and obtaining an interface language file based on the mapping relationship; Based on the interface language file and the preset template features, the template information corresponding to different data features is obtained according to the matching results; Matching the template information with the data protocol of the system and the docking system based on data features, and establishing a data protocol table according to the content matching result between the template information and the data protocol; Determining configuration information at a universal data interface based on a hierarchical relationship of the data protocol table, and configuring the data protocol table at the universal data interface based on the configuration information to obtain a docking interface; S4: Based on the docking interface, synchronize standard-related data between the system and the docking system and handle exceptions.

2. The method for realizing automatic docking of system asset cards based on trend analysis according to claim 1, characterized in that: In S1, relevant data of the system asset cards are collected and processed using a trend analysis method to obtain future change trends of the asset cards, including: Scan the QR code on the asset card to enter and update asset information, obtain relevant data, and clean and pre-process the relevant data to obtain processed relevant data; Depreciation data is extracted from the processed relevant data, and the depreciation data is input into the linear trend analysis method-linear regression model to output the future change trend of the asset card.

3. The method for realizing automatic docking of system asset cards based on trend analysis according to claim 1, characterized in that: In S2, based on future change trends, automated processing rules are set, and relevant data are automatically processed based on the automated processing rules to obtain standard-related data, including: Set up data cleaning and specification standards, business indicator calculation data standards, anti-fraud data standards, and calculation and display data standards as data processing tasks, and establish automated processing rules. The relevant data is connected to the data entry of the automatic processing rule, data conversion is performed based on the automatic processing rule, and standard relevant data is obtained from the data exit of the automatic processing rule and stored.

4. The method for realizing automatic docking of system asset cards based on trend analysis according to claim 1, characterized in that: Based on the interface language file and the preset template features, the template information corresponding to different data features is obtained according to the matching results, including: Parse the interface language file to obtain key language features; Get the content key features of the preset template features; Matching the language key features with the content key features to obtain a matching result; Based on the matching results, the interface language file is matched with the preset template to obtain template information corresponding to different data features.

5. The method for realizing automatic docking of system asset cards based on trend analysis according to claim 1, characterized in that: In S4, based on the docking interface, data synchronization of standard-related data between the system and the docking system is performed, including: Based on the data content characteristics of the system and the docking system, data association rules are established through the docking interface; Based on data association rules, standard-related data is mapped to the docking system for data synchronization.

6. The method for realizing automatic docking of system asset cards based on trend analysis according to claim 5, characterized in that: Based on the data content characteristics of the system and the docking system, data association rules are established through the docking interface, including: Acquire a first key field and a second key field in data content features of the system and the docking system, and standardize the first key field and the second key field to obtain a first standard key field and a second standard key field; Matching the first standard key field with the second standard key field to obtain a basic field matching result; Based on the database of the system and the docking system, obtaining the first other field and the second other field, matching the first other field and the second other field to obtain a special field matching result; Establish field association rules based on basic field matching results and special field matching results; Obtain a first storage location of the first key field in the system, and obtain a second storage location of the second key field in the docking system; Based on the field association rule, in combination with the mapping relationship between the first storage location and the second storage location, a location association rule is established; Match the field association rules and the position association rules to obtain the data association rules.

7. The method for realizing automatic docking of system asset cards based on trend analysis according to claim 5, characterized in that: Based on data association rules, standard-related data is mapped to the docking system for data synchronization, including: The system sets a callback interface from the docking interface to receive messages and notifications from the docking system; Transmitting standard-related data to the docking system via the callback interface; After receiving the standard-related data, the docking system determines the mapping relationship of the standard-related data based on the data association rules, establishes a data docking process based on the mapping relationship, and synchronizes the data based on the data docking process.

8. The method for realizing automatic docking of system asset cards based on trend analysis according to claim 5, characterized in that: In S4, based on the docking interface, exception handling of standard-related data in the system and the docking system is performed, including: Based on the docking interface, the system monitors the data synchronization status with the docking system in real time; When an exception occurs in data synchronization, the error information is automatically recorded and an exception reminder is sent to the system through the docking interface.

Images