Parameterized Query Templates for Manufacturing Compliance Data
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Solution Overview
Problem
Conventional methods for monitoring compliance with product specifications in manufacturing processes are tedious, require manual input, and lack data integrity, making it difficult to efficiently aggregate and analyze data across multiple batches and databases, especially when raw material characteristics vary.
Innovation Solution
A system that uses generic queries with query parameters as placeholders, allowing data to be tagged and executed across multiple databases without rewriting queries, enabling efficient data retrieval and compliance monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual data entry and conventional searching techniques are used, then data can be collected and retrieved, but the process becomes tedious, time-consuming, and requires significant manual input and programming expertise
Solution Approach 1:
The patent implements a generic query template that can be universally applied across multiple databases and data formats. Instead of creating specific queries for each database, the system uses a single generic query structure with parameters that can be dynamically filled, eliminating the need for repetitive query creation and significantly improving data retrieval efficiency across diverse data sources
Solution Approach 2:
The system pre-defines query templates with all necessary structural elements and relationships established in advance. These templates include pre-configured joins, filters, and data retrieval logic that are prepared beforehand, allowing users to simply provide specific parameters rather than constructing entire queries from scratch, thus reducing time for manual input
2Ease of operation
If data is stored in Excel spreadsheets or conventional databases, then data can be organized and accessed, but data integrity requirements and tracking changes become difficult to meet
Solution Approach 1:
The patent introduces an intermediary layer between the user and the databases through a structured query template system. This intermediary handles all data access operations uniformly, ensuring that data integrity constraints are consistently applied across different database types. The template system acts as a mediator that translates user requests into database-specific queries while maintaining standardized data handling protocols
Solution Approach 2:
The system uses parameterized queries where data values are separated from the query structure. This allows the same query template to work with different data sources while maintaining consistent data integrity rules. By changing only the parameters rather than the query structure, the system ensures reliable and repeatable data access patterns across varying data sources
3Measurement precision
If specific queries are created for each data set, then accurate data retrieval is achieved, but the complexity increases and requires IT expertise to create new queries for different batches and processes
Solution Approach 1:
The patent creates a universal query template that can retrieve accurate data from multiple different data sets without requiring separate queries. The template incorporates flexible parameters that adapt to different batches, processes, and data sources, maintaining retrieval accuracy while eliminating the need for complex custom query creation by IT specialists
Solution Approach 2:
Instead of creating new queries for each data set, the system uses a master query template that can be copied and instantiated multiple times with different parameters. This copying approach allows the same proven query structure to be reused across different batches and processes, ensuring consistent accurate retrieval without increasing complexity
4Reliability
If multiple batches of raw materials with different characteristics are tracked, then product compliance can be monitored, but the difficulty of locating and aggregating data increases
Solution Approach 1:
The patent segments the data tracking system by using distinct parameters for each raw material batch while maintaining a unified query template structure. Each batch's characteristics are identified through specific parameters that can be independently configured, allowing compliance monitoring for multiple batches without creating a monolithic complex query system
Solution Approach 2:
The generic query template universally handles multiple raw material batches by accepting batch-specific parameters. This single template can retrieve and aggregate data from any number of batches with different characteristics, making data aggregation as easy as providing different parameter values rather than creating separate queries for each batch
Data Source
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AI summary
A generic query having a dynamic query parameter may be executed for a specified process. One or more expected parameters for the query are determined based on the dynamic query parameter and the process, where the one or more expected parameters are tagged to the dynamic query parameter for the process. One or more measured parameters are accessed based on the one or more expected parameters from one or more databases accessible over a network. The one or more measured parameters are returned responsive to the query.