IoT Readiness Scoring Engine for Device Integration
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Solution Overview
Problem
Current IoT readiness assessment methods lack an objective, quantified approach to evaluate the compatibility and integration of IoT devices, particularly in terms of security, communication constraints, and cost, often relying on cultural viewpoints rather than accurate parameter assessments.
Innovation Solution
A system and method for computing IoT readiness that involves obtaining initial information on IoT compatible products, generating information on target integration platforms, identifying available capacity, and using scoring and analysis engines to assign scores, determine revenue potential, and identify optimal integration methods, thereby providing a roadmap for accurate IoT implementation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional cultural viewpoint-based IoT maturity check methodologies are used, then the assessment process is simple and quick, but the accuracy and objectivity of the assessment is poor
Solution Approach 1:
The patent segments the IoT readiness assessment into multiple distinct modules: an initial assessment module that evaluates basic IoT compatibility, a target platform assessment module that analyzes platform compatibility, and a scoring module that aggregates results. This segmentation allows the system to achieve high assessment accuracy through comprehensive multi-dimensional evaluation while managing complexity through modular architecture.
Solution Approach 2:
The patent introduces a scoring module as an intermediary that objectively aggregates assessment results from multiple evaluation dimensions. This scoring module uses predefined criteria and algorithms to transform subjective cultural viewpoints into quantifiable, objective scores, thereby improving assessment accuracy and objectivity while maintaining system manageability.
2Reliability
If comprehensive multi-parameter assessment is implemented, then the objectivity and accuracy of IoT readiness evaluation is improved, but the complexity of data collection and processing increases
Solution Approach 1:
The patent divides the comprehensive assessment into separate evaluation modules, each handling specific parameters (IoT compatibility, platform compatibility, security, etc.). This segmentation allows reliable multi-parameter assessment while simplifying data processing through specialized modular handlers that can be independently configured and maintained.
Solution Approach 2:
The patent transforms multiple assessment parameters into a unified scoring system with standardized metrics. By converting diverse parameters (security vulnerabilities, platform compatibility, IoT readiness) into comparable score values, the system achieves reliable comprehensive evaluation while reducing processing complexity through parameter standardization.
3Measurement precision
If detailed security and performance assessment is performed, then the identification of weak points and optimization opportunities is improved, but the time and resources required for assessment increase
Solution Approach 1:
The patent performs preliminary automated scanning and detection of security vulnerabilities, device compatibility, and platform integration issues before conducting detailed analysis. This preliminary action identifies obvious weak points quickly, allowing the system to achieve high security assessment precision while minimizing the time invested by focusing detailed analysis only on identified issues rather than进行全面审查.
Solution Approach 2:
The patent implements a tiered assessment approach where critical security and compatibility parameters are evaluated in detail, while less critical parameters receive simplified evaluation. This partial action strategy ensures high precision for the most important assessment dimensions (security, platform compatibility) while reducing overall assessment time by applying less rigorous evaluation to secondary parameters.
Data Source
AI summary
Systems and methods for computing and evaluating internet of things (IoT) readiness of a product. The traditional systems and methods provide for the IoT maturity check methodologies but they are based more upon cultural view point rather than on an accurate quantified assessment. Embodiments of the present disclosure provide for computing and evaluating the IoT readiness of the product by providing for a set of information on a plurality of IoT compatible products and target IoT integration platform and infrastructure for configuring and connecting the plurality IoT compatible products, computing and assigning a set of scores to the plurality IoT compatible products using a scoring engine module, computing revenue potential and one or more optimal methods of integrating and deploying the plurality of IoT compatible products on a comparison of the set of assigned scores, the performance potential and the potential revenue value of the plurality of IoT compatible products.