Environmental Sensor Suitability Metrics for High-Resolution Site Selection

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Solution Overview

Problem

Current systems lack sufficient frequency, reliability, and spatial resolution for determining the suitability of a site for specific activities based on environmental parameters such as temperature, air quality, and noise levels.

Innovation Solution

Utilizing IoT sensors and user devices to collect environmental data, which is aggregated by a suitability analysis platform that correlates activities with preferred parameter values, providing site recommendations and driving customer traffic through targeted environmental adjustments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If environmental sensor data is collected to determine site suitability, then measurement precision is improved, but device complexity increases

Engineering Contradiction:
Improveenvironmental parameter measurement precisionVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments environmental monitoring into multiple independent sensor devices distributed across different locations. Each sensor device independently collects specific environmental parameters (temperature, humidity, noise, air quality) and transmits data to a central platform, enabling precise localized measurements without requiring a single complex system

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The suitability analysis platform performs multiple functions: collecting data from diverse sensor types, analyzing environmental parameters, correlating activities with preferred parameter values, generating site suitability scores, and providing recommendations. This multi-functional approach consolidates complexity into a single platform rather than requiring separate systems for each function

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

2Measurement precision

If environmental parameters are monitored with high spatial resolution, then measurement precision is improved, but loss of information increases due to data volume

Engineering Contradiction:
Improvespatial resolution of environmental dataVSAvoiddata management challenges
Core Design Contradiction:
Measurement precisionVSLoss of information

Solution Approach 1:

The system extracts only the most relevant environmental parameters for each activity type from the vast amount of available sensor data. The suitability analysis platform identifies and extracts key parameters (e.g., temperature for exercising, noise levels for working) and their preferred values, filtering out unnecessary data to maintain precision without being overwhelmed by data volume

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The system adds the dimension of activity context to environmental parameter data. Instead of merely collecting raw sensor readings, the platform correlates parameters with specific activities and user preferences, transforming spatially-resolved environmental data into activity-specific suitability assessments that are more manageable and actionable

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

3Reliability

If real-time environmental data collection is implemented, then reliability is improved, but use of energy increases

Engineering Contradiction:
Improvedata reliability for site suitability determinationVSAvoidenergy consumption of sensor devices
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

Solution Approach 1:

Sensor devices collect and transmit environmental data periodically rather than continuously, adjusting sampling intervals based on activity requirements and environmental conditions. This periodic operation maintains data reliability for site suitability determination while significantly reducing energy consumption compared to continuous monitoring

Inventive Principle:
Principle #19Periodic action

Solution Approach 2:

The system dynamically adjusts data collection parameters (sampling frequency, transmission intervals, sensor activation) based on activity type, location, and environmental conditions. For example, sensors may operate at lower frequencies in stable environments or for less critical activities, optimizing the balance between data reliability and energy consumption

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS12461923B2Suitability metrics based on environmental sensor data
Publication Date: 2025.11.04 T MOBILE US INC
  • US12461923B2 patent drawing
  • US12461923B2 patent drawing
  • US12461923B2 patent drawing

AI summary

A suitability analysis platform may receive one or more environmental parameter values of one or more environmental parameters collected for a plurality of sites by multiple sensor devices. The platform may aggregate the one or more environmental parameter values collected for each site of the plurality of sites by each site. Subsequently, the platform may receive queries for suitable sites for performing activities from user devices, in which each of the queries includes one or more environmental parameter value criteria for at least one corresponding environmental parameter of a suitable site for performing a specific activity. The platform may provide responses to the queries in which each response includes information on one or more sites of the plurality of sites with one or more environmental parameter values that match or are closest to the one or more environmental parameter value criteria of the corresponding query.