Policy Data Validation Rules for Network Transmission Integrity

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Solution Overview

Problem

Existing systems face challenges in ensuring data integrity of data structures transmitted across networked environments, leading to errors, resource wastage, and degraded human-computer interactions due to manual entry mistakes, inconsistent or missing values, and dependencies among data entries, particularly in policy-related data structures.

Innovation Solution

A policy administration system employs configurations for data types to validate and rectify data structures by identifying and correcting invalid entries before transmission, using configurations that specify validation rules and error messages, thereby enhancing data integrity and reducing downstream impacts.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual entry of data values is allowed, then ease of operation is improved, but data integrity deteriorates due to manual entry mistakes and inconsistent values

Engineering Contradiction:
Improveease of operationVSAvoiddata integrity
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The system performs preliminary validation of data values against predefined configurations before allowing transmission. Each data field is checked against its corresponding configuration that specifies valid values, patterns, or ranges. This preliminary action prevents invalid data from entering the network while maintaining user-friendly data entry processes.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system provides feedback to users when invalid data is detected. When a data value does not match its configuration requirements, the system returns error information indicating the problem and allows correction. This feedback mechanism maintains ease of operation by guiding users through corrections without requiring complex validation procedures.

Inventive Principle:
Principle #23Feedback

2Reliability

If validation rules are implemented for all data fields, then data integrity is improved, but device complexity increases due to multiple configurations and validation logic

Engineering Contradiction:
Improvedata integrityVSAvoiddevice complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The validation system is segmented into separate configuration objects, each associated with specific data fields. Each configuration independently defines validation rules for its corresponding field, allowing modular management. This segmentation reduces overall system complexity by enabling independent configuration and validation of each data field without requiring complex centralized validation logic.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The validation mechanism uses a universal configuration structure that can be applied across different data types and fields. The same validation framework handles various data fields by selecting appropriate configurations based on field type, reducing the need for separate validation logic for each field and simplifying the overall system architecture.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Productivity

If invalid data structures are transmitted through the network, then productivity is maintained, but resource wastage increases due to errors and degraded system performance

Engineering Contradiction:
ImproveproductivityVSAvoidresource wastage
Core Design Contradiction:
ProductivityVSLoss of energy

Solution Approach 1:

The system performs preliminary validation of data structures before transmission to identify and filter out invalid data. By checking data integrity in advance against configured requirements, the system prevents wasteful network transmission of invalid data, reducing energy consumption and resource wastage while maintaining productivity through efficient data processing of valid structures.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20250390611A1Validating data structures for transmission across networked environments
Publication Date: 2025.12.25 STATE FARM MUTAL AUTOMOBILE INSURANCE COMPANY
  • US20250390611A1 patent drawing
  • US20250390611A1 patent drawing
  • US20250390611A1 patent drawing

AI summary

Presented herein are systems and methods of validating data to be transmitted across networked environments. A computing system may receive a data structure comprising a plurality of fields and a corresponding plurality of values according to a data type of a plurality of data types for a policy. The plurality of values may have a subset of values generated via a user interface. The computing system may select, from a plurality of configurations, a configuration based on the data type of the data structure. The computing system may identify, from the plurality of fields, a field in accordance with the configuration. The computing system may determine that a value of the plurality of values corresponding to the field is not valid. The computing system may generate an indication identifying the data structure as restricted from transmission to the network due to the value of the field.