A parameter mapping system based on configuration relationship

Abstract

The present invention relates to the technical field of data processing and information technology, and specifically to a parameter mapping system based on configuration relations, which consists of four modules: a data input module, a configuration management system, a mapping engine and an output module. The data input module receives data from an external system and parses it into an internal format. The configuration management system manages and stores mapping rules, and provides a user interface for defining or modifying these rules. The mapping engine performs parameter mapping according to the configured mapping rules, and handles errors that may occur in the process. The output module is responsible for sending the converted data to a target system. The system has an efficient data conversion function and a stable exception handling capability, and can handle data of different types and sizes. Through an intelligent rule matching algorithm, the system can match the most appropriate mapping rule with high precision, ensuring the stability and high performance of data flow. It is suitable for scenarios where large amounts of data need to be processed efficiently and accurately.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing and information technology, and in particular to a parameter mapping system based on configuration relations. Background Art

[0002] In software engineering, data often needs to be transferred between different systems, components, or data formats. These systems may use different parameter naming and types. Traditional solutions may lead to redundant code, difficult maintenance, and increased risk of errors. An effective parameter mapping technology can automatically identify and convert parameters from different data sources, which can effectively improve the interoperability and scalability of the system.

[0003] Key questions include:

[0004] 1. Automatic mapping: Automatically map parameters of one system or format to another system or format.

[0005] 2. Reduce errors: Reduce human errors in the manual mapping process.

[0006] 3. Improve efficiency: Quickly respond to the needs of system parameter interaction and improve development and operation efficiency.

[0007] 4. Easy to maintain: Simplify code and maintain parameter mappings that adapt to different systems.

[0008] 5. Dynamic configuration: Allow users or systems to customize parameter mapping rules through configuration files. Summary of the invention

[0009] Based on the above objectives, the present invention provides a parameter mapping system based on configuration relationship to solve the above problems.

[0010] The present invention relates to a parameter mapping system, which aims to realize efficient parsing, conversion and transmission of input data through the coordinated work of a data input module, a configuration management system, a mapping engine and an output module.

[0011] First, the data input module is responsible for receiving input data from the external system and parsing it into an internally operable format. The configuration management system stores user-defined or predefined mapping rules and provides a user interface for users to define and modify these rules.

[0012] The mapping engine is the core of this system. It accurately converts the input data according to the mapping rules extracted from the configuration management system. The mapping engine includes an input control unit, a rule matching unit, a data conversion unit, an output scheduling unit, and an error handling unit. Through the organic combination of these units, the accuracy, efficiency, and stability of the data mapping process are ensured.

[0013] The output module finally sends the converted data to the target system to ensure the integrity and consistency of data flow.

[0014] Beneficial effects of the present invention:

[0015] 1. Improve parameter mapping efficiency: The automated mapping process greatly improves the efficiency of data processing.

[0016] 2. Reduce development and maintenance costs: Automation and user configuration interface reduce the workload of manual code maintenance.

[0017] 3. Enhance system interoperability: Make data exchange between different systems and platforms smoother.

[0018] 4. Improve user experience: Reduce user experience issues caused by parameter mapping errors.

[0019] In summary, this system uses advanced configuration relationship mapping technology to solve the complexity of parameter mapping between multiple data sources, thereby improving system efficiency, saving costs, and providing users with a better user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only for the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0021] Figure 1 A schematic diagram of the system architecture of an embodiment of the present invention;

[0022] Figure 2 This is a schematic diagram of the rule configuration tool interface of an embodiment of the present invention;

[0023] Figure 3 A schematic diagram of the operation flow of the rule configuration tool according to an embodiment of the present invention;

[0024] Figure 4 This is a schematic diagram of the structure of a mapping engine according to an embodiment of the present invention;

[0025] Figure 5 A schematic diagram of a flow chart of an embodiment of the present invention;

[0026] Figure 6 Schematic diagram of input / output flow of an embodiment of the present invention. DETAILED DESCRIPTION

[0027] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. At the same time, it is explained here that in order to make the embodiments more detailed, the following embodiments are the best and preferred embodiments, and those skilled in the art may also adopt other alternatives to implement some known technologies; and the accompanying drawings are only for more specific description of the embodiments, and are not intended to specifically limit the present invention.

[0028] It should be noted that the references to "one embodiment", "an embodiment", "an exemplary embodiment", "some embodiments" and the like in the specification indicate that the embodiments described may include specific features, structures or characteristics, but not every embodiment may include the specific features, structures or characteristics. In addition, when a specific feature, structure or characteristic is described in conjunction with an embodiment, it should be within the knowledge of a person skilled in the art to implement such feature, structure or characteristic in conjunction with other embodiments (whether or not explicitly described).

[0029] In general, a term can be understood, at least in part, from its use in context. For example, depending, at least in part, on the context, the term "one or more" as used herein can be used to describe any feature, structure, or characteristic in the singular sense, or can be used to describe a combination of features, structures, or characteristics in the plural sense. Additionally, the term "based on" can be understood as not necessarily intended to convey an exclusive set of factors, but can instead, depending, at least in part, on the context, allow for the presence of other factors that are not necessarily explicitly described.

[0030] Example 1

[0031] like Figures 1 to 6 As shown, a parameter mapping system based on configuration relationship includes:

[0032] 1. System architecture

[0033] The system mainly consists of the following modules:

[0034] 1. Data input module: receives input data from different systems.

[0035] 2. Configuration management system: manages and stores the configuration of parameter mapping rules.

[0036] 3. Mapping engine: performs the actual mapping of parameters.

[0037] Output module: sends the mapped data to the target system. 2. Data input module

[0038] 1. Receive data: Receive parameters from external systems, including files, databases, and API requests.

[0039] 2. Data parsing: Parse the received data into an internally operable format. (The server name to which it is applied and the steps of the parsing process should be detailed here.) This has nothing to do with the server

[0040] 3. Configuration Management System 1. Mapping rule storage: store user-defined or predefined mapping rules.

[0041] 2. Rule configuration tool: Provides a user interface for defining or modifying mapping rules. (This should include a detailed description of the modules and functions of the user interface, as well as the specific steps for definition and modification.) The function of the user interface here is the configuration function.

[0042] The interface is similar to the following, configure the source and target 4. Mapping engine

[0043] 1. Rule extraction: Extract mapping rules from the configuration management system based on the received data type. (The mapping rules here should be described in detail, such as mapping rules should include field mapping, data type conversion, format standardization, value replacement and mapping, conditional logic, etc.)

[0044] 2. Mapping execution: Execute parameter mapping according to the extracted rules.

[0045] 3. Error handling: handles any errors that occur during the mapping process. The mapping engine plays a core role in the parameter mapping system based on configuration relationships. It is responsible for converting the input data into the format required by the target system according to the mapping rules provided by the configuration management module. The following is a detailed breakdown of the mapping engine module:

[0046] 1. Mapping engine module architecture

[0047] Components:

[0048] 1. Input control unit: receives the original data stream from the data input module.

[0049] 2. Rule matching unit: interacts with the configuration management system to match input data with corresponding mapping rules.

[0050] 3. Data conversion unit: converts input data according to the matched rules.

[0051] 4. Output scheduling unit: sends the converted data to the output module.

[0052] 5. Error handling unit: handles errors that may occur during the mapping process.

[0053] 2. Mapping engine module process (the server names and functions used in the following steps are described in detail, such as data validation applications.) You don't need to worry about what server it is here. The units mentioned here are modules divided by software and have nothing to do with hardware;

[0054] The following is a detailed description of the process steps:

[0055] A. Input control unit

[0056] 1. Receive data: Receive data submitted by the user from the data input module.

[0057] 2. Data verification: Verify the validity, integrity and format of the data.

[0058] B. Rule matching unit

[0059] 1. Request rules: Request applicable mapping rules from the configuration management system.

[0060] 2. Matching rules: Parse the input data metadata and match according to the rules.

[0061] C.Data conversion unit

[0062] 1. Application rules: Apply mapping rules to the matched data, including conversion of data format, data type and value range.

[0063] 2. Field mapping: Map source format fields to target format fields.

[0064] 3. Output conversion: Organize the converted data into the format required by the output module.

[0065] D. Output Scheduling Unit

[0066] 1. Data arrangement: Arrange and arrange the converted data stream.

[0067] 2. Call the output module: flow data to the target system.

[0068] E. Error handling unit

[0069] 1. Error capture: Monitor the conversion process and capture errors generated during the mapping process.

[0070] 2. Error response: Define the response strategy based on the error type, which may include a retry mechanism, fallback to the default rule, or error logging.

[0071] 3. Key technologies and components

[0072] Rule matching strategy: intelligent matching algorithm, matching the most appropriate mapping rule with high precision.

[0073] Efficient data conversion: supports fast conversion of complex data structures and large-scale data sets.

[0074] Stable exception handling: ensure the stability and robustness of data flow.

[0075] The present invention covers any substitution, modification, equivalent method and scheme made on the essence and scope of the present invention. In order to make the public have a thorough understanding of the present invention, specific details are described in detail in the following preferred embodiments of the present invention, but those skilled in the art can fully understand the present invention without the description of these details. In addition, in order to avoid unnecessary confusion about the essence of the present invention, well-known methods, processes, procedures, components and circuits are not described in detail.

[0076] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A parameter mapping system based on configuration relationship, characterized in that: include: Data input module, which receives input data from different systems and parses it into an internally actionable format; Configuration management system, used to manage and store the configuration of parameter mapping rules; A mapping engine, which is used to perform parameter mapping according to the configured mapping rules; Output module, used to send the mapped data to the target system.

2. A parameter mapping system based on configuration relationship according to claim 1, characterized in that: The data input module further comprises: The data receiving submodule is used to receive parameters from the external system; The data parsing submodule is used to parse the received data into an internal format.

3. A parameter mapping system based on configuration relationship according to claim 1, characterized in that: The configuration management system further comprises: A mapping rule storage module is used to store user-defined or predefined mapping rules; Rule Configuration Tool, a user interface for defining or modifying mapping rules.

4. A parameter mapping system based on configuration relationship according to claim 1, characterized in that: The mapping engine further comprises: A rule extraction unit, used for extracting mapping rules from the configuration management system; A mapping execution unit, used for executing parameter mapping according to the extracted rules; Error handling unit, used to handle any errors that occur during the mapping process.

5. A parameter mapping system based on configuration relationship according to claim 1, characterized in that: The mapping engine module further comprises: An input control unit, used for receiving the original data stream from the data input module; A rule matching unit, used to interact with the configuration management system and match input data with corresponding mapping rules; A data conversion unit, used to convert input data according to the matched rules; An output scheduling unit, used for sending the converted data to an output module; The error handling unit is used to handle errors that may occur during the mapping process.

6. A parameter mapping system based on configuration relationship according to claim 1, characterized in that: The execution process of the mapping engine includes the following steps: Data validation steps to verify the validity, integrity and format of the data; a request rules step for requesting applicable mapping rules from a configuration management system; The matching rule step is used to parse the input data metadata and match it according to the rules; The rule application step is used to apply mapping rules to the matched data, including conversion of data format, data type and value range; A field mapping step for mapping source format fields to target format fields; Output transformation step, used to organize the transformed data into the format required by the output module; A data arrangement step is used to arrange and arrange the converted data stream; Call the output module step to flow data to the target system; The error capture step is used to monitor the conversion process and capture errors generated during the mapping process; The error response step is used to define the response strategy based on the error type.

7. The parameter mapping system based on configuration relationship according to claim 1, characterized in that: The key technologies and components include: Rule matching strategy, used to match the most appropriate mapping rule with high precision; Efficient data conversion to support fast conversion of complex data structures and large-scale data sets; Stable exception handling is used to ensure the stability and robustness of data flow.

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