Technical Documentation Generation for Configurable Electrical Drive Systems
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Solution Overview
Problem
Existing methods for generating technical documentation of configurable electrical drive systems are complex and inflexible, requiring extensive knowledge of available services and data sources, and lack efficient data processing and standardization.
Innovation Solution
A method and system that allow users to select and configure products, generating a data record with classification and product data, which is transmitted to multiple services for partial documentation extraction and combination, using a recipe and set of rules to standardize and filter data, enabling demand-oriented information generation and flexible service activation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If existing methods are used to generate technical documentation, then documentation can be produced, but the process is complex and inflexible requiring extensive knowledge of available services and data sources
Solution Approach 1:
The documentation generation system is segmented into multiple independent services (CAD service, online help service, product datasheet service) that each handle specific documentation types. Each service independently processes the data record and generates its own partial documentation, eliminating the need for a single complex system to handle all documentation types.
Solution Approach 2:
A standardized data record format acts as an intermediary between the product configuration system and the various documentation services. The data record serves as a universal interface that contains both classification data and product data, allowing different services to access and process information without requiring extensive knowledge of underlying data sources or service-specific formats.
2Adaptability or versatility
If a service pulls the data record on demand, then the data source does not need to know which services are available, but the data record cannot be generated until a service is called up
Solution Approach 1:
The system performs preliminary action by pre-defining the data record structure and pre-establishing the service interface before actual documentation generation is needed. The data record template is prepared in advance with all necessary fields for classification data and product data, so when a service calls for documentation, the data can be immediately generated and transmitted without delay.
3Adaptability or versatility
If multiple services are integrated into the system, then comprehensive documentation can be generated, but the system becomes more complex
Solution Approach 1:
The standardized data record format provides universality by serving as a common interface for multiple different services. Instead of each service having its own dedicated data structure, all services use the same data record format, which simplifies the system architecture while enabling comprehensive documentation generation through multiple services.
4Reliability
If extensive knowledge of services and data sources is required, then accurate documentation can be generated, but the operation becomes difficult
Solution Approach 1:
The system implements self-service by allowing services to autonomously extract classification data and generate documentation without requiring external intervention or extensive manual configuration. Each service independently processes the data record according to its own requirements, eliminating the need for operators to have extensive knowledge of service-specific data structures.
Data Source
AI summary
A method and a system for generating a technical documentation of a configurable product of an electrical drive system is provided. The method includes selecting the product from a quantity of selectable products by a user, automatically generating a data record of the selected product the data record containing classification data and product data, and transmitting the data record to at least one service configured to extract the classification data from the received data record, extract documentation data from the product data based on the extracted classification data, and generate a partial documentation of the technical documentation based on the extracted documentation data.