Recording System Message Filtering for Relevant IoT Notice Events
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Solution Overview
Problem
As the number of devices transmitting messages increases in the Internet of Things environment, there is a need for efficient message filtering to enable devices receiving messages to focus on a subset of relevant messages, particularly in evidence collection systems where devices need to selectively respond to specific operational states of notice systems.
Innovation Solution
A system and method for filtering messages using a recording system that employs lists, data from messages, and historical data to determine whether to accept or ignore messages, incorporating notice systems like CEWs and cameras to capture and record relevant data based on operational states and system identities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If devices transmit more messages in the Internet of Things environment, then the quantity of information increases, but the complexity of message filtering and processing increases
Solution Approach 1:
The patent segments the message filtering process into distinct components: a notice system that generates messages with structured data fields, a recording system that receives messages, and a evidence management system that coordinates between them. This segmentation allows each component to handle specific aspects of message processing independently, reducing overall system complexity despite increasing message quantity.
Solution Approach 2:
The patent introduces an evidence management system as an intermediary between the notice system and recording system. This intermediary coordinates message routing, determines which messages require recording, and manages the evidence collection process. By inserting this mediator layer, the system handles increased message volumes without proportionally increasing the complexity of individual filtering components.
2Reliability
If a recording system processes all received messages, then complete data collection is achieved, but resource utilization efficiency decreases
Solution Approach 1:
The notice system performs preliminary actions by structuring messages with specific data fields and identifiers before transmission. The evidence management system performs preliminary filtering to determine which messages warrant recording before the recording system processes them. This preliminary processing ensures that recording systems only capture relevant messages, maintaining data completeness while improving resource efficiency.
Solution Approach 2:
The system implements partial processing where the recording system does not process all received messages equally. Instead, it selectively records only those messages that meet specific criteria (e.g., messages containing evidence-relevant data). This partial action approach ensures complete collection of relevant data while avoiding the waste of resources on irrelevant messages.
3Productivity
If a recording system selectively filters messages, then resource utilization improves, but the risk of missing relevant information increases
Solution Approach 1:
The patent implements feedback mechanisms where the evidence management system receives information about message contents and adjusts filtering criteria accordingly. The structured data fields in messages provide feedback about message relevance, allowing the system to refine its selective filtering approach. This feedback loop ensures that resource-efficient filtering does not compromise the reliability of information collection.
Solution Approach 2:
The patent replaces manual or simple mechanical filtering approaches with automated, rule-based filtering systems. The recording system uses programmed criteria to automatically determine message relevance based on structured data fields, message types, and contextual information. This substitution of automated intelligence for simple filtering mechanisms maintains high reliability while achieving efficient resource utilization.
Data Source
AI summary
A recording system may use the information stored in a list to determine whether to receive and/or respond to messages transmitted by notice systems. The source of the information for the list includes a server and/or the recording system itself. A server that provides the list may use data provided by an agency to determine a relationship between a people, recording devices and notice systems. The associations between people, recording devices and notice devices may be used to determine what information is in the list. A recording device that forms the list may receive messages from any notice system, detect the session identifier, store the session identifiers from received messages, and receive and/or respond to messages in accordance with the list formed by the recording system.