Sensor Registration Model Reduces Bandwidth and Latency
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Solution Overview
Problem
Current systems face challenges in performing improved operations actions due to the need for sensors to transmit identification data alongside operations data, which increases bandwidth allocation, costs, and latency, and requires manual firmware updates, making it costly and time-consuming.
Innovation Solution
A computer-implemented method that receives registration data and operations data from sensors, applies it to an improvement model to generate improved operations data, and initiates improved operations actions without requiring sensors to transmit identification data, thus reducing bandwidth and latency costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If sensors transmit identification data alongside operations data, then the system can identify assets and perform targeted operations, but bandwidth allocation increases and transmission costs rise
Solution Approach 1:
The patent extracts the identification data transmission requirement from the sensor data stream. Instead of sensors transmitting identification data alongside operations data, the system uses a separate registration process where sensors are pre-registered with asset identifiers. The operations data is then matched to assets using this pre-established registration information, eliminating the need for continuous identification data transmission and reducing bandwidth consumption.
2Loss of information
If sensors transmit identification data alongside operations data, then asset tracking is improved, but transmission latency increases
Solution Approach 1:
The patent applies preliminary action by performing sensor registration with asset identification information before actual operations data collection. The registration process establishes a mapping between sensor identifiers and asset identifiers in advance. When operations data is collected, the system can immediately match sensor data to assets using this pre-established mapping, eliminating the need for real-time identification data transmission and reducing latency.
3Loss of information
If manual firmware updates are performed on sensors to enable identification data transmission, then sensors can transmit identification data, but the process becomes costly and time-consuming
Solution Approach 1:
The patent uses a logical copy approach where asset identification information is copied into a registration database during a one-time registration process, rather than physically modifying sensor firmware. The sensor identifier is copied and associated with the asset identifier in the database, creating a virtual mapping that enables identification without requiring firmware changes. This eliminates the need for costly and time-consuming manual firmware updates on each sensor.
4Loss of information
If sensors transmit identification data alongside operations data, then complete asset information is available, but data transmission volume increases
Solution Approach 1:
The patent segments the identification information handling into two separate components: sensor identifier transmission (minimal data) and asset identifier lookup (performed server-side using pre-registered mapping). The sensor only transmits its own identifier, which is a small data packet. The system then segments the identification process by using this sensor identifier to query the registration database and retrieve the corresponding asset identifier, separating the minimal transmission requirement from the complete identification capability.
Data Source
AI summary
Systems, apparatuses, computer program products, and methods are provided herein. For example, a computer-implemented method may include receiving registration data associated with a plurality of sensors. In some embodiments, the computer-implemented method may include receiving operations data representing operations of a plurality of assets. In some embodiments, the computer-implemented method may include applying the operations data to an improvement model to generated improved operations data based at least in part on the registration data and the operations data based at least in part on the registration data and the operations data. In some embodiments, the improved operations data may include a plurality of improved operations data sets. In some embodiments, the computer-implemented method may include initiating performance of one or more improved operations actions based at least in part of the improved operations data.