Building Incident Response Using Cloud Risk Analysis

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Solution Overview

Problem

Existing building management systems (BMS) face delays in responding to incidents due to the need for extensive data processing and analysis, which is often unavailable in real-time, especially in situations where on-premises devices lack access to necessary resources like electrical power, network availability, and bandwidth, leading to suboptimal responses to developing incidents.

Innovation Solution

The implementation of a cloud-based incident response system using digital analytic response twins (DARTs) that models potential incidents and responses in real-time, allowing for immediate transmission of artificial intelligence (AI) based responses to on-premises devices, enabling proactive corrective actions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If extensive data processing and analysis are performed using traditional on-premises building management systems, then comprehensive incident detection is achieved, but response time is delayed due to resource constraints

Engineering Contradiction:
Improveincident detection accuracyVSAvoidresponse time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system segments the data processing function by separating it from the on-premises building management system and relocating it to off-premises processing circuits (cloud infrastructure). This allows the on-premises system to focus on real-time incident detection while the cloud handles comprehensive data analysis, resolving the contradiction between detection accuracy and response speed.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces off-premises processing circuits as an intermediary between the on-premises building management system and the incident response execution. This intermediary handles the computationally intensive data processing and analysis, enabling fast local response while maintaining comprehensive analysis capabilities in the cloud.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Speed

If on-premises building devices have access to all necessary processing resources, then real-time incident response is achieved, but system complexity and infrastructure requirements increase

Engineering Contradiction:
Improveincident response speedVSAvoidsystem infrastructure complexity
Core Design Contradiction:
SpeedVSDevice complexity

Solution Approach 1:

The patent extracts the complex data processing and analysis functions from the on-premises building management system and places them in off-premises processing circuits. This extraction allows the on-premises system to maintain simple infrastructure while achieving real-time response capabilities through cloud-based processing power.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The off-premises processing circuits serve multiple functions: they process data from multiple buildings, perform various types of analysis, and provide incident response recommendations. This universal processing platform eliminates the need for each building to have its own complex processing infrastructure.

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

3Measurement precision

If comprehensive data from multiple sources is processed locally, then accurate incident analysis is achieved, but network bandwidth and power requirements increase

Engineering Contradiction:
Improveincident analysis accuracyVSAvoidpower consumption
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The system segments the data processing workload by transmitting only essential data to the cloud for comprehensive analysis, while performing local preprocessing to reduce data volume. This segmentation enables accurate incident analysis without requiring all processing to occur locally, reducing power consumption.

Inventive Principle:
Principle #1Segmentation

4Extent of automation

If on-premises devices perform extensive data processing, then autonomous incident response is achieved, but reliability decreases when power or network is unavailable

Engineering Contradiction:
Improveautonomous response capabilityVSAvoidsystem availability
Core Design Contradiction:
Extent of automationVSReliability

Solution Approach 1:

The system performs preliminary data processing and incident detection locally at the on-premises building management system, enabling autonomous response capabilities even when network connectivity is lost. Meanwhile, comprehensive analysis and model updates are performed in the cloud when available, ensuring both autonomy and reliability.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS11587428B2Incident response system
Publication Date: 2023.02.21 TYCO FIRE & SECURITY GMBH
  • US11587428B2 patent drawing
  • US11587428B2 patent drawing
  • US11587428B2 patent drawing

AI summary

Systems and methods for responding to incidents in a building are provided. One method includes performing operations including retrieving data relating to one or more on-premises building devices of the building, determining the incident relating to the one or more on-premises building devices, and determining a plurality of potential responses to the incident. The operations further include analyzing the plurality of potential responses and determining relative risks of the potential responses to the incident and transmitting, to a first on-premises building device of the on-premises building devices, data indicating the incident and at least one of the plurality of potential responses based on the relative risks of the potential responses.