Unified Data Processing for Multi-Asset Sensor Integration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems for data transmission are limited in their ability to combine and process data from multiple sources at a single data portal, leading to separate handling of data related to persons, vehicles, machinery, and environments, which limits advanced data analysis and visualization.
Innovation Solution
A computer-implemented system and method for evaluating and transmitting combined external data from multiple assets to a central data portal, where a data processing device collects and processes sensor data from various assets, including persons, vehicles, and environments, and transmits it for storage and visualization, enabling the determination of relationships and statuses such as proximity, presence, and environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing data transmission systems are used independently for each asset type, then each system can handle its specific data requirements, but the ability to combine and process data from multiple sources at a single data portal is limited
Solution Approach 1:
The patent implements a universal data transmission system that can handle multiple types of data (person data, vehicle data, machinery data, environmental data) through a single integrated platform. The system uses a standardized data collection interface that accepts sensor data from various asset types and transmits it to a central data portal, eliminating the need for separate specialized transmission systems for each asset category.
Solution Approach 2:
The patent merges previously separate data transmission functions into a single unified system. By combining data from multiple asset types into one transmission stream that converges at the central data portal, the system enables integrated processing and analysis of heterogeneous data sources while reducing the complexity of maintaining multiple independent transmission infrastructure.
2Loss of information
If data from multiple assets is handled separately, then each data type can be processed according to its specific requirements, but advanced data analysis and visualization capabilities are limited
Solution Approach 1:
The central data portal is designed as a universal platform that receives and processes diverse data types from multiple asset sources. It provides unified data analysis and visualization capabilities that can handle person data, vehicle data, machinery data, and environmental data simultaneously, enabling advanced analytical functions that would be difficult to achieve with separate processing systems.
Solution Approach 2:
The central data portal acts as an intermediary between the various data sources and the analysis/visualization layer. It consolidates data from multiple independent asset transmissions into a unified dataset, enabling cross-asset analysis and comprehensive visualization while maintaining the integrity of individual data types through standardized processing interfaces.
3Adaptability or versatility
If multiple separate data processing devices are used for different assets, then each device can be optimized for its specific asset type, but the overall system complexity and cost increase
Solution Approach 1:
The system replaces multiple specialized processing devices with a single universal data processing platform. The centralized data portal provides multi-functional capabilities to process, store, and visualize data from different asset types using common processing logic and standardized interfaces, eliminating the need for separate optimized devices for each asset category while maintaining processing effectiveness.
Solution Approach 2:
The patent consolidates multiple data processing functions into a single integrated system. By merging the processing capabilities for persons, vehicles, machinery, and environmental data into one unified platform, the system reduces the total number of devices required while enabling enhanced feature integration and cross-domain analysis that would be difficult to achieve with distributed specialized systems.
Data Source
AI summary
Systems and methods for evaluating and transmitting combined external data from one or more assets are described herein. An example method may include collecting, by a data processing device communicatively coupled to a central data portal, sensor data from one or more assets, processing, by the data processing device, the sensor data to evaluate status data concerning status of the one or more assets, transmitting, by the data processing device, the status data to the central data portal, and storing and visualizing, by the central data portal, the status data. The data processing device can be co-located with one of the assets. The assets may be selected from a building, a room, outdoor location, a vehicle, a person, an indoor location, and an outdoor location.