CN119829661B - Method for realizing automatic docking of system asset cards based on trend analysis - Google Patents
Method for realizing automatic docking of system asset cards based on trend analysisInfo
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Abstract
The invention provides a method for realizing automatic docking of a system asset card based on trend analysis, which is characterized in that related data of the system asset card is collected, the related data is processed by utilizing a trend analysis method to obtain future change trend of the asset card, automatic processing rules are set, the related data is automatically processed based on the automatic processing rules to obtain standard related data, which fields in the asset card correspond to those in finance or other systems, the rules are key for realizing automatic docking of data, interface development is carried out based on data standards and data protocols of the system and a docking system to obtain a docking interface, the state and the change condition of the standard related data in the system and the docking system are monitored in real time based on the docking interface, potential problems and risks are found in time, and finally the efficiency and the accuracy of system asset management are obviously improved.
Description
Technical Field
The invention relates to the technical field of data docking, in particular to a method for realizing automatic docking of system asset cards based on trend analysis.
Background
The system asset card docking processes commonly used in the current projects mainly comprise the following steps:
1. and the API interface is used for realizing data exchange between the asset management system and the financial system or other related systems through the application programming interface. The method has the characteristics of strong real-time performance and high data accuracy, and is suitable for scenes needing frequent data exchange. But there may be differences in technical architecture, data model, interface specifications, etc. between the different systems, resulting in difficulty in docking.
2. File import/export-export of asset card information from the asset management system into Excel, CSV etc. formatted files, and then import these files in other systems. The import process may require field mapping, data cleansing, and format conversion. The method is characterized by being suitable for the situations that the data volume is large or the interface between systems does not directly support real-time data exchange. But the asset card list is exported in the asset system and then imported in the financial system. The field mapping and data cleaning are needed in the importing process.
3. Database linking-through which both systems are allowed to directly access their databases, data exchange can be achieved through the database linking. But the security and stability of the database needs to be ensured during the docking process, while complying with the relevant laws and regulations and privacy policies.
4. Middleware or data integration platform, namely, an independent system software or service program, which is positioned between the client and the server and is used for processing tasks such as data exchange, format conversion and the like. And the data integration platform is a software platform specially used for realizing data exchange and integration among different systems and supporting complex data conversion and synchronization requirements. The characteristics of the method can relate to the transmission and processing of a large amount of data in the butt joint process, and stress is caused on the system performance. Regular operation and maintenance of the system may be required after docking to ensure proper operation of the docking function.
Disclosure of Invention
The invention provides a method for realizing automatic butt joint of system asset cards based on trend analysis, which is used for solving the problems in the background technology.
A method for implementing automated interfacing of system asset cards based on trend analysis, comprising:
S1, collecting related data of a system asset card, and processing the related data by using a trend analysis method to obtain a future change trend of the asset card;
S2, setting an automatic processing rule based on a future change trend, and automatically processing the related data based on the automatic processing rule to obtain standard related data;
S3, carrying out interface development based on data standards and data protocols of the system and the docking system to obtain a docking interface;
and S4, based on the docking interface, carrying out data synchronization and exception handling on the standard related data in the system and the docking system.
Preferably, in the step S1, collecting relevant data of the asset card of the system, and processing the relevant data by using a trend analysis method to obtain a future change trend of the asset card, including:
The method comprises the steps of inputting and updating asset information by scanning a two-dimensional code on an asset card to obtain related data, and cleaning and preprocessing the related data to obtain processed related data;
And extracting depreciated data of the processed related data, inputting the depreciated data into a linear trend analysis method-linear regression model, and outputting to obtain the future change trend of the asset card.
Preferably, in the step S2, an automation processing rule is set based on a future trend, and the relevant data is automatically processed based on the automation processing rule to obtain standard relevant data, including:
the cleaning standard data standard, the stitching business index calculation data standard, the anti-cheating data standard and the calculation display data standard are sequentially used as data processing hierarchical tasks, and an automatic processing rule is established;
And accessing the related data into a data inlet of the automatic processing rule, converting the data based on the automatic processing rule, and obtaining and storing standard related data from a data outlet of the automatic processing rule.
Preferably, in the step S3, interface development is performed based on a data standard and a data protocol of the system and the docking system to obtain a docking interface, including:
Based on common data characteristics between the data standard of the system and the data standard of the docking system, a common data model is established, and a universal data interface is established based on the common data model;
And carrying out secondary development on the universal data interface based on different data characteristics between the data standard of the system and the data standard of the docking system and the data protocol of the system and the docking system to obtain the docking interface.
Preferably, the secondary development is performed on the universal data interface based on different data characteristics between the data standard of the system and the data standard of the docking system and the data protocol of the system and the docking system to obtain the docking interface, including:
Performing structural analysis on the different data characteristics based on a preset data structure analysis method to obtain a data hierarchy, and acquiring a layer structure of each data layer from the data hierarchy;
Determining a first mapping value based on a data layer, determining a second mapping value based on a layer structure, determining a mapping relation 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 relation;
matching the interface language file with preset template characteristics, and obtaining template information corresponding to different data characteristics according to a matching result;
Matching the template information with a data protocol of the system and the docking system based on data characteristics, and establishing a data protocol table according to a content matching result between the template information and the data protocol;
And determining configuration information of the universal data interface based on the hierarchical relation of the data protocol table, and configuring the data protocol table at the universal data interface based on the configuration information to obtain the docking interface.
Preferably, matching is performed based on the interface language file and a preset template feature, and template information corresponding to different data features is obtained according to a matching result, including:
Analyzing the interface language file to obtain key language features;
acquiring content key features of preset template features;
Matching the language key features with the content key features to obtain a matching result;
and based on the matching result, matching the interface language file with a preset template to obtain template information corresponding to different data features.
Preferably, in the step S4, based on the docking interface, data synchronization of the standard-related data in the system and the docking system is performed, including:
Based on the data content characteristics of the system and the docking system, establishing a data association rule through a docking interface;
and mapping the standard related data into a docking system for data synchronization based on the data association rule.
Preferably, the establishing a data association rule through the docking interface based on the data content characteristics of the system and the docking system includes:
acquiring a first key field and a second key field in data content characteristics of a system and a docking system, and standardizing 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 databases of the system and the docking system, acquiring a first other field and a second other field, and matching the first other field with the second other field to obtain a special field matching result;
establishing a field association rule based on the basic field matching result and the special field matching result;
acquiring a first storage position of a first key field in a system, and acquiring a second storage position of a second key field in a docking system;
Based on the field association rule, combining the mapping relation between the first storage position and the second storage position to establish a position association rule;
and matching the field association rule with the position association rule to obtain the data association rule.
Preferably, mapping the standard related data to the docking system for data synchronization based on the data association rule includes:
the system sets a callback interface from the docking interface to receive the information and the notification of the docking system;
Transmitting the standard related data to a docking system through the callback interface;
After receiving the standard related data, the docking system determines the mapping relation of the standard related data based on the data association rule, establishes a data docking flow based on the mapping relation, and synchronizes the data based on the data docking flow.
Preferably, in the step S4, based on the docking interface, performing exception handling of the standard-related data in the system and the docking system includes:
based on the docking interface, the system monitors the data synchronization condition of the docking system in real time;
When the data synchronization is abnormal, error information is automatically recorded and an abnormal prompt is sent to the system through the docking interface.
Compared with the prior art, the invention has the following beneficial effects:
The method comprises the steps of collecting related data of a system asset card, processing the related data by using a trend analysis method to obtain a future change trend of the asset card, analyzing the asset data, predicting the future development trend, helping enterprises to better know key indexes such as use conditions, maintenance requirements and depreciation conditions of the asset, setting an automatic processing rule based on the future change trend, automatically processing the related data based on the automatic processing rule to obtain standard related data, determining which fields in the asset card correspond to which fields in financial or other systems, wherein the rule is the key for realizing automatic data docking, performing interface development based on data standards and data protocols of the system and the docking system to obtain a docking interface, ensuring data interface standardization among the systems, including data formats, transmission protocols and the like, so as to facilitate seamless exchange of the data, performing data synchronization and abnormal processing of the standard related data in the system and the docking system based on the docking interface, monitoring the state and the variation condition of the asset card in real time, finding potential problems and risks, and finally remarkably improving the efficiency and accuracy of asset management of the system.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application. The objects and other advantages of the application may be realized and obtained by means of the instrumentalities particularly pointed out in the specification.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a flow chart of a method for implementing automated interfacing of system asset cards based on trend analysis in an embodiment of the invention;
FIG. 2 is a flow chart of processing data for automating processing rules in an embodiment of the invention;
FIG. 3 is a diagram illustrating an embodiment of a work order based system for data synchronization in accordance with the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
Example 1:
The embodiment of the invention provides a method for realizing automatic docking of system asset cards based on trend analysis, which is shown in fig. 1 and comprises the following steps:
S1, collecting related data of a system asset card, and processing the related data by using a trend analysis method to obtain a future change trend of the asset card;
S2, setting an automatic processing rule based on a future change trend, and automatically processing the related data based on the automatic processing rule to obtain standard related data;
S3, carrying out interface development based on data standards and data protocols of the system and the docking system to obtain a docking interface;
and S4, based on the docking interface, carrying out data synchronization and exception handling on the standard related data in the system and the docking system.
In this embodiment, the related data of the asset card includes, but is not limited to, asset number, name, specification, date of purchase, status of use, depreciation, etc. The data sources may be existing asset management systems, financial systems, ERP systems, or the like.
In this embodiment, the asset card data originates from the financial and asset management areas of the enterprise, covering a number of aspects of basic asset information, financial and depreciation information, physical and location information, and acquisition and maintenance information. Together, these data contents form the basis for enterprise asset management, providing powerful support for enterprise decisions.
In this embodiment, the relevant data of the asset card is specifically, for example, asset codes, codes for uniquely identifying the asset. For example, land card number 1010000, represents a unique code of a certain school's floor space; asset name, namely asset name such as teaching building, server, etc.; asset classification, i.e., classification of assets, such as land, houses, structures, general equipment, special equipment, cultural relics and displays, book files, furniture tools, animals and plants, and the like; the method comprises the steps of calculating the current use state of the asset, such as in use, idle, other and the like, managing departments, namely a department responsible for managing the asset, original value of the asset, accumulated depreciation of the asset, total depreciation of the asset which has been calculated from the use state, net value of the asset, namely the current account value of the asset, depreciation method, such as straight line method, accelerated depreciation method and the like, estimated use age, estimated life of the asset can be used for calculating depreciation, number of the asset, such as the use right area of land, the building area of a house and the like, specification model, such as the specification and model of the asset, such as the processor model of a computer, the size of office equipment and the like, storage place, specific position of the asset storage, use department, acquisition mode of the asset, such as new purchase, allocation, acceptance date, acquisition date, supply date, maintenance record, etc;
For example, an office building of a company is taken as an example, and an asset card of the company may comprise the following data contents of asset code 1020001, asset name 1020001, office building, asset type house, use state in use, management department, logistics department, original value 5000 ten thousand yuan, accumulated depreciation 1000 ten thousand yuan, net value 4000 ten thousand yuan, depreciation method, estimated service life 50 years, number 10000 square meters of building area, specification model number two floors, storage place in a company park, use department, comprehensive management department, acquisition mode self-construction, acquisition date 2010, 1 day 9 month, and provider no (self-construction project).
The design scheme has the advantages that related data of the asset card of the system are collected, the related data are processed by utilizing a trend analysis method to obtain future change trend of the asset card, analysis of the asset data is achieved, future development trend is predicted, enterprises can be helped to better know key indexes such as use condition, maintenance requirement and depreciation condition of the asset, based on the future change trend, automatic processing rules are set, the related data are automatically processed based on the automatic processing rules to obtain standard related data, which fields in the asset card correspond to which fields in finance or other systems, the rules are key for achieving automatic data butt joint, interface development is conducted based on data standards and data protocols of the system and the butt joint system to obtain a butt joint interface, standardization of data interfaces among the systems is guaranteed, the data formats, the transmission protocols and the like are included, so that seamless exchange of the data is facilitated, based on the butt joint interface, the state and the variation condition of the asset card can be monitored in real time, potential problems and risks can be found in time, and the efficiency and accuracy of asset management of the system are improved finally.
Example 2:
Based on embodiment 1, the embodiment of the invention provides a method for realizing automatic docking of system asset cards based on trend analysis, wherein in S1, relevant data of the system asset cards are collected, and the relevant data are processed by using a trend analysis method to obtain future change trend of the asset cards, which comprises the following steps:
The method comprises the steps of inputting and updating asset information by scanning a two-dimensional code on an asset card to obtain related data, and cleaning and preprocessing the related data to obtain processed related data;
And extracting depreciated data of the processed related data, inputting the depreciated data into a linear trend analysis method-linear regression model, and outputting to obtain the future change trend of the asset card.
In this embodiment, the depreciation data is financial and depreciation information type data in the collected asset card data. Such data mainly includes the original value of the asset (i.e., the initial purchase cost of the asset), the cumulative depreciation (the total depreciation the asset has been charged from purchase to the current time), the net value (the original value of the asset minus the value after the cumulative depreciation), and the depreciation method (e.g., straight line method, accelerated depreciation method, etc.) and the estimated age (the estimated length of time for calculating depreciation).
The basic form of the linear trend analysis-linear regression model can be expressed as:
Y=β0+β1X1+β2X2+...+βnXn+∈
where β0, β1,..βn is a parameter of the model, also known as the regression coefficient. β0 is an intercept term representing the expected value of the dependent variable when all independent variables are 0.β1..βn represents the extent to which the respective variable affects the dependent variable.
E is a random error term representing the effect of other factors or random variations not included in the model on Y.
The design scheme has the beneficial effects that the related data of the asset card of the system is collected, the related data is processed by utilizing a trend analysis method to obtain the future change trend of the asset card, the analysis of the asset data is realized, the future development trend is predicted, and enterprises can be helped to better know key indexes such as the use condition, the maintenance requirement and the depreciation condition of the asset.
Example 3:
based on embodiment 1, the embodiment of the invention provides a method for realizing automatic docking of system asset cards based on trend analysis, in the step S2, based on future change trend, an automatic processing rule is set, and based on the automatic processing rule, related data are automatically processed to obtain standard related data, which comprises the following steps:
the cleaning standard data standard, the stitching business index calculation data standard, the anti-cheating data standard and the calculation display data standard are sequentially used as data processing hierarchical tasks, and an automatic processing rule is established;
And accessing the related data into a data inlet of the automatic processing rule, converting the data based on the automatic processing rule, and obtaining and storing standard related data from a data outlet of the automatic processing rule.
In this embodiment, as shown in fig. 2, the flow of processing data of the automated processing rule sequentially uses the cleaning specification data standard, the stitching business index calculation data standard, the anti-cheating data standard and the calculation presentation data standard as data processing hierarchy tasks.
The design scheme has the beneficial effects that the cleaning standard data standard, the stitching business index calculation data standard, the anti-cheating data standard and the calculation display data standard are sequentially used as data processing hierarchical tasks, an automatic processing rule is established, related data are connected into a data inlet of the automatic processing rule, data conversion is carried out based on the automatic processing rule, standard related data are obtained from a data outlet of the automatic processing rule and stored, the accuracy and the reliability of the data are ensured, and a high-quality data basis is provided for automatic butt joint of a unified asset card.
Example 4:
Based on embodiment 1, the embodiment of the invention provides a method for realizing automatic docking of system asset cards based on trend analysis, in the step S3, interface development is performed based on data standards and data protocols of a system and a docking system to obtain a docking interface, which comprises the following steps:
Based on common data characteristics between the data standard of the system and the data standard of the docking system, a common data model is established, and a universal data interface is established based on the common data model;
And carrying out secondary development on the universal data interface based on different data characteristics between the data standard of the system and the data standard of the docking system and the data protocol of the system and the docking system to obtain the docking interface.
The design scheme has the beneficial effects that the common data model is established based on common data characteristics between the data standard of the system and the data standard of the docking system, the universal data interface is established based on the common data model, the universal data interface is secondarily developed based on different data characteristics between the data standard of the system and the data standard of the docking system and the data protocol of the system and the docking system, the docking interface is obtained, and the standardization of the data interfaces among the systems is ensured, including data formats, transmission protocols and the like, so that seamless exchange of data is facilitated.
Example 5:
Based on embodiment 4, the embodiment of the invention provides a method for realizing automatic docking of a system asset card based on trend analysis, wherein the method for carrying out secondary development on a universal data interface based on different data characteristics between a data standard of the system and a data standard of a docking system and a data protocol of the system and the docking system to obtain the docking interface comprises the following steps:
Performing structural analysis on the different data characteristics based on a preset data structure analysis method to obtain a data hierarchy, and acquiring a layer structure of each data layer from the data hierarchy;
Determining a first mapping value based on a data layer, determining a second mapping value based on a layer structure, determining a mapping relation 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 relation;
matching the interface language file with preset template characteristics, and obtaining template information corresponding to different data characteristics according to a matching result;
Matching the template information with a data protocol of the system and the docking system based on data characteristics, and establishing a data protocol table according to a content matching result between the template information and the data protocol;
And determining configuration information of the universal data interface based on the hierarchical relation of the data protocol table, and configuring the data protocol table at the universal data interface based on the configuration information to obtain the docking interface.
In this embodiment, the interface language file is a language file required for development of the docking interface.
In this embodiment, the data protocol table includes transmission protocol information between systems and transmission protocol information between data.
In this embodiment, the preset template features are designed in advance according to the interface establishment resources, and the template information is used to implement configuration of the docking interface.
The design scheme has the advantages that the structure analysis is carried out on different data features based on a preset data structure analysis method to obtain a data hierarchy structure, the layer structure of each data layer is obtained from the data hierarchy structure, a first mapping value is determined based on the data layers, a second mapping value is determined based on the layer structure, a mapping relation between the data features and interface programming is determined based on the first mapping value and the second mapping value, an interface language file is obtained based on the mapping relation, the interface language file is matched with preset template features, template information corresponding to the different data features is obtained according to the matching result, the template information is matched with a data protocol of a system and a docking system based on the data features, a data protocol table is established according to the content matching result between the template information and the data protocol, configuration information of a universal data interface is determined based on the layer relation of the data protocol table, the docking interface is obtained based on the configuration information, so that the data of the universal data interface is exchanged, the data of the system and the docking system can be synchronized and abnormally processed based on the docking interface, the system can monitor the state and the abnormal condition of the system and the asset, the potential problem of the system can be found out in real time, the accuracy and the real-time management condition of the system can be improved, and the final problem of the system can be found.
Example 6:
based on embodiment 5, the embodiment of the invention provides a method for realizing automatic docking of system asset cards based on trend analysis, which is used for matching interface language files with preset template features and obtaining template information corresponding to different data features according to matching results, and comprises the following steps:
Analyzing the interface language file to obtain key language features;
acquiring content key features of preset template features;
Matching the language key features with the content key features to obtain a matching result;
and based on the matching result, matching the interface language file with a preset template to obtain template information corresponding to different data features.
The design scheme has the beneficial effects that language key features are obtained through analyzing the interface language file, content key features of preset template features are obtained, the language key features and the content key features are matched to obtain a matching result, the interface language file and the preset template are matched based on the matching result, template information corresponding to different data features is obtained, and a foundation is provided for development of the interface.
Example 7:
based on embodiment 1, the embodiment of the invention provides a method for implementing automatic docking of system asset cards based on trend analysis, in the step S4, based on a docking interface, data synchronization of standard related data in a system and a docking system is performed, including:
Based on the data content characteristics of the system and the docking system, establishing a data association rule through a docking interface;
and mapping the standard related data into a docking system for data synchronization based on the data association rule.
The design scheme has the advantages that the data association rule is established through the docking interface based on the data content characteristics of the system and the docking system, and the standard related data is mapped into the docking system to perform data synchronization based on the data association rule, so that the automatic docking of the asset card is realized.
Example 8:
Based on embodiment 7, the embodiment of the invention provides a method for realizing automatic docking of a system asset card based on trend analysis, which establishes a data association rule through a docking interface based on data content characteristics of a system and a docking system, and comprises the following steps:
acquiring a first key field and a second key field in data content characteristics of a system and a docking system, and standardizing 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 databases of the system and the docking system, acquiring a first other field and a second other field, and matching the first other field with the second other field to obtain a special field matching result;
establishing a field association rule based on the basic field matching result and the special field matching result;
acquiring a first storage position of a first key field in a system, and acquiring a second storage position of a second key field in a docking system;
Based on the field association rule, combining the mapping relation between the first storage position and the second storage position to establish a position association rule;
and matching the field association rule with the position association rule to obtain the data association rule.
In this embodiment, the system corresponds to a first key field and the docking system corresponds to a second key field.
In this embodiment, the database of the system corresponds to a first other field, the database of the docking system corresponds to a second other field, and the special field matching result is obtained by using the other fields, so as to provide an association rule base for data docking between the subsequent system and the docking system, and enrich the field content of the field association rule.
The design scheme has the advantages that the first key field and the second key field in the data content characteristics of the system and the docking system are obtained through obtaining the first key field and the second key field, the first standard key field and the second standard key field are obtained through standardization of the first key field and the second key field, the first standard key field and the second standard key field are matched to obtain a basic field matching result, the first other fields and the second other fields are obtained based on a database of the system and the docking system, the first other fields and the second other fields are matched to obtain a special field matching result, a field association rule is established based on the basic field matching result and the special field matching result, a first storage position of the first key field in the system is obtained, a second storage position of the second key field in the docking system is obtained, the position association rule is established based on a mapping relation between the first storage position and the second storage position, the field association rule and the position association rule are matched to obtain a data association rule, a basis is provided for realizing automatic docking of data, the system can monitor the state of the asset and the change condition of the asset in real time, and the potential problem of management is remarkably improved in time.
Example 9:
Based on embodiment 7, the embodiment of the invention provides a method for realizing automatic docking of system asset cards based on trend analysis, which maps standard related data into a docking system for data synchronization based on data association rules, and comprises the following steps:
the system sets a callback interface from the docking interface to receive the information and the notification of the docking system;
Transmitting the standard related data to a docking system through the callback interface;
After receiving the standard related data, the docking system determines the mapping relation of the standard related data based on the data association rule, establishes a data docking flow based on the mapping relation, and synchronizes the data based on the data docking flow.
In this embodiment, the data synchronization is based on a specific example of a work order system, such as shown in figure 3,
And presetting a callback interface by the work order system, wherein the work order system is preset with a callback interface for receiving subsequent messages and notifications.
And sending the work order parameters to a message reminding system by the work order system through the callback interface. These work order parameters may include detailed information, type, priority, etc. of the work order.
And the message reminding system informs that after receiving the work order parameters, the message reminding system sends a message to the work order system to inform the work order system of the state of the work order approval process needing to be updated.
And updating the approval process of the work order, namely updating the approval process of the work order according to the work order parameters and the current approval rules after the work order system receives the notification.
And returning the opening service information through the new interface, wherein after the approval process is updated, the work order system returns an opening service return code and related information of the opening service to the opening service module through a new interface.
And sending opinion information, namely after receiving the opening service return code and the opening service information, the opening service module generates opinion information according to actual conditions and sends the opinion information back to the work order system.
And finally, the application platform acquires the updated work order information, the opening service return code, the opening service information, the opinion information and the like from the work order system or other related systems so as to carry out subsequent processing or display.
The whole process is automatic and has no manual intervention, thereby improving the working efficiency and accuracy. Meanwhile, the flow also embodies the cooperative work and information sharing among different systems.
The design scheme has the advantages that a callback interface is arranged in a docking interface through the system to receive information and notification of the docking system, standard related data are transmitted to the docking system through the callback interface, after the docking system receives the standard related data, the mapping relation of the standard related data is determined based on a data association rule, a data docking flow is established based on the mapping relation, data synchronization is carried out based on the data docking flow, and real-time or timing synchronization of system asset card data is achieved. When the asset card data changes, the asset card data can be automatically updated to other related systems, and the consistency of the data is maintained.
Example 10:
Based on embodiment 7, the embodiment of the invention provides a method for implementing automatic docking of system asset cards based on trend analysis, in the step S4, based on a docking interface, abnormal processing of standard related data in a system and a docking system is performed, including:
based on the docking interface, the system monitors the data synchronization condition of the docking system in real time;
When the data synchronization is abnormal, error information is automatically recorded and an abnormal prompt is sent to the system through the docking interface.
The data synchronization system has the advantages that the system monitors the data synchronization condition of the docking system in real time based on the docking interface, automatically records error information and sends an abnormality prompt to the system through the docking interface when the data synchronization is abnormal, and is beneficial to timely finding and solving the problems in the docking process.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present document and the equivalent arts thereof, the present application also intends to include such modifications and variations.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111800434A (en) * | 2020-07-22 | 2020-10-20 | 睿智合创(北京)科技有限公司 | Multi-channel asset docking platform and working method thereof |
| CN117495313A (en) * | 2023-12-29 | 2024-02-02 | 山东星维九州安全技术有限公司 | Asset convergence management method for platform system |
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| CN107766579B (en) * | 2017-11-16 | 2021-06-29 | 四川长虹电器股份有限公司 | Method for designing main data management system based on XBRL standard |
| CN112819612A (en) * | 2020-11-25 | 2021-05-18 | 辽宁振兴银行股份有限公司 | Automatic configuration system for butt-joint channel of payment system |
| CN115687478A (en) * | 2022-10-27 | 2023-02-03 | 中通服软件科技有限公司 | Standardized service data sharing system and method |
| CN116091212A (en) * | 2023-02-23 | 2023-05-09 | 吉林亿联银行股份有限公司 | Interface docking method and device, storage medium and electronic equipment |
| CN117725122A (en) * | 2023-12-25 | 2024-03-19 | 北京全网数商科技股份有限公司 | An order synchronization method for business management platform |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111800434A (en) * | 2020-07-22 | 2020-10-20 | 睿智合创(北京)科技有限公司 | Multi-channel asset docking platform and working method thereof |
| CN117495313A (en) * | 2023-12-29 | 2024-02-02 | 山东星维九州安全技术有限公司 | Asset convergence management method for platform system |
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