Interactive Rules Engine for Distributed Industrial Health Monitoring
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Solution Overview
Problem
Current monitoring systems for distributed industrial facilities, such as HVAC systems, are complex and provide inefficient interfaces for setting up and updating rules, leading to inefficient alert generation and management, particularly in large-scale environments with multiple devices and locations.
Innovation Solution
A computer-implemented method and system that generates an interactive user interface based on sensor data from multiple devices, allowing users to input rules and compare sensor data to these rules, providing notifications of violations while securely managing and storing data across facilities, with a centralized data repository and secure data pipeline to prevent unauthorized access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current monitoring systems are used for distributed industrial facilities, then device monitoring capability is provided, but system complexity and interface efficiency deteriorate
Solution Approach 1:
The system segments the distributed industrial facility into multiple controllable units, each with its own set of devices and parameters. The user interface is segmented into facility-specific views, allowing users to manage each facility independently rather than dealing with a monolithic complex system. This segmentation reduces perceived complexity while maintaining comprehensive monitoring capability.
Solution Approach 2:
The patent introduces an intermediary layer between the user and the complex monitoring system - a standardized interface that translates user actions into system-specific operations. This intermediary handles the complexity of device management, rule configuration, and alert routing, presenting a simplified view to users while maintaining full monitoring functionality.
2Reliability
If current monitoring systems are used for distributed industrial facilities, then device monitoring capability is provided, but interface efficiency for setting up rules deteriorates
Solution Approach 1:
The system performs preliminary actions by pre-configuring standardized rule templates and interfaces based on facility type and device categories. When a user onboards a new facility, the system has already prepared relevant rule sets and interface layouts, eliminating the need for users to manually create rules from scratch and significantly improving setup efficiency.
Solution Approach 2:
The patent employs parameter changes by allowing users to modify high-level facility parameters (such as facility type, location, and operational characteristics) which automatically trigger cascading changes to derived parameters including monitoring rules, alert thresholds, and interface configurations. This parameter-driven approach simplifies rule setup by reducing the number of independent decisions users must make.
3Adaptability or versatility
If manual rule setup is used for onboarding systems, then customization capability is provided, but time consumption and efficiency worsen
Solution Approach 1:
The system implements dynamics by providing rule templates that are both pre-configured for immediate use and dynamically adjustable based on user needs. Users can start with standardized templates that provide immediate customization capability, then progressively modify rules as they become familiar with the system, reducing initial setup time while maintaining full adaptability.
Solution Approach 2:
The patent employs copying by allowing users to replicate successful rule configurations from one facility to another. Once a rule set is optimized for a particular facility type, it can be copied and adapted for similar facilities, eliminating redundant customization work and significantly reducing onboarding time for subsequent facilities while preserving customization capability through local modifications.
4Reliability
If centralized data repository is implemented, then data security is improved, but system complexity increases
Solution Approach 1:
The centralized data repository is designed with multi-functionality, serving not only as a security boundary but also as an intelligent routing hub that automatically directs data to appropriate facilities and users. This universal component handles authentication, data classification, routing, and access control in a single integrated system, reducing overall system complexity compared to distributed security implementations.
Data Source
AI summary
Systems and methods for a custom rules engine for health of a disturbed industrial system. The system can generate an interactive user interface including a number of interactive input fields. The interactive input fields can be generated based on accessible sensor data obtained from devices located within physical facilities. The system can obtain user input data populating interactive input fields. The system can generate one or more rules based on the user input data. The system can periodically obtain sensor data from the sensors across the devices in the distributed industrial facility system. The system can compare the sensor data to the generated rules and determine if a violation has occurred. The system can provide a notification of the violation. The system can store the sensor data and record of the violation of the generated rules.