Workflow Record Collection for Cross-Platform Edge Data Capture
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Solution Overview
Problem
Conventional record keeping in businesses is costly, narrowly focused, and fails to capture a comprehensive, holistic view of physical environments, limiting the applicability of data and hindering deeper insights, particularly for small and medium-sized enterprises.
Innovation Solution
A system and method for automated real-time data collection and storage using 5G wireless technology and cloud-based automation, enabling the recording of physical or cyber-physical workflows, with endpoints collecting data in a standardized format and providing private access to businesses for analysis and insights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional targeted data collection is used for specific machines or locations, then data collection cost is reduced and implementation is simplified, but the comprehensiveness and holistic view of physical environment is limited
Solution Approach 1:
The patent implements a universal data collection system where a single platform can collect multiple types of data (sensor readings, transactional records, workflow information, physical environment data) across diverse locations and machines. The system uses standardized data structures and protocols that allow the same infrastructure to serve multiple functions and purposes, thereby achieving comprehensive coverage without proportionally increasing system complexity.
Solution Approach 2:
The data collection system is segmented into modular components including edge devices for local data gathering, intermediate processing layers, and centralized platforms. This segmentation allows the system to scale comprehensively by adding individual modules rather than redesigning the entire system, managing complexity through distributed, independent units that can be deployed selectively.
2Loss of information
If numerical sensor readings and transactional records are collected, then data storage and processing is simplified, but the ability to provide deeper actionable insights and understand physical aspects is limited
Solution Approach 1:
The patent creates a composite data structure that combines multiple data types (numerical sensor readings, transactional records, workflow information, and physical environment descriptors) into a unified data model. This composite approach ensures comprehensive information capture while using standardized schemas and formats that simplify storage and processing, rather than requiring separate complex systems for each data type.
3Adaptability or versatility
If predetermined intent or operational needs drive record keeping, then implementation is straightforward and focused, but the applicability of data to various customers, vendors and applications is limited
Solution Approach 1:
The patent implements a dynamic data collection system where the collection parameters, data types, and processing rules can be adjusted and reconfigured based on different applications and users. The system allows predicates and queries to be modified without requiring system redesign, enabling the same infrastructure to serve multiple customers, vendors, and applications with varying needs while maintaining ease of operation through centralized configuration management.
Data Source
AI summary
Various aspects of the subject technology relate to systems, methods, and machine-readable media for cross-platform programmable network communication. The method includes receiving a request, via a platform, from a customer including a set of requirements for a deployment. The method also includes identifying one or more endpoints that satisfy the request, the endpoints to be placed in a setting of the customer. The method also includes collecting, via the endpoints, data records pertaining to at least one of a task, an operation, a process, or a workflow associated with the customer. The method also includes storing the data records in a standardized format in edge units comprising a collection of data records associated with the customer. The method also includes providing, via the platform, private access to the collection of data records to the customer.