Environmental Sensor Data Management for Cross-Platform Consistency
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Solution Overview
Problem
Existing systems face challenges in ensuring consistency of measurement information among sensors with different measurement forms, particularly in environments where stationary sensors, UAVs, and artificial satellites are used, due to potential malfunctions or improper settings.
Innovation Solution
A management system that includes stationary sensors, UAVs, and artificial satellites, with a management apparatus that collects and processes measurement data to ensure consistency by calibrating sensors, identifying abnormal areas, and adjusting measurement conditions, using statistical and computational methods to align and authenticate data across different sensor types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple types of sensors (stationary, UAV, satellite) are used for environmental monitoring, then measurement coverage and data quantity are improved, but consistency and reliability of measurement information deteriorate due to different measurement forms and potential malfunctions
Solution Approach 1:
The management apparatus collects measurement information from multiple sensor types, compares it with reference values, and feeds back correction information to sensors that deviate from expected ranges. This closed-loop feedback mechanism ensures consistency across different measurement platforms by continuously adjusting sensor readings based on comparative analysis.
Solution Approach 2:
The management apparatus acts as an intermediary between diverse sensor systems, standardizing and harmonizing their measurement outputs. It processes raw data from stationary sensors, UAVs, and satellites through unified algorithms, converting heterogeneous measurements into consistent environmental information that can be reliably compared and integrated.
2Measurement precision
If stationary sensors are used for continuous monitoring, then measurement precision is improved, but device complexity and maintenance requirements increase
Solution Approach 1:
The patent combines multiple sensor types (stationary sensors, UAV-mounted sensors, and satellite sensors) into an integrated monitoring system. By merging these different platforms, the system achieves continuous monitoring capabilities while distributing the complexity across multiple simpler components rather than relying on a single complex stationary system.
Solution Approach 2:
The management apparatus serves multiple functions: it manages stationary sensors, processes UAV measurement data, integrates satellite information, performs consistency checks, and generates correction information. This multi-functional approach consolidates what would otherwise require separate specialized systems, reducing overall device complexity while maintaining measurement precision.
3Measurement precision
If sensors are calibrated frequently to maintain accuracy, then measurement precision is improved, but loss of time and operational disruption increase
Solution Approach 1:
The system performs preliminary consistency checks by comparing measurement information from multiple sources before identifying sensors that actually require calibration. By pre-screening sensors through cross-validation with UAV and satellite data, the system minimizes the number of sensors that need time-consuming calibration procedures, reducing overall calibration time while maintaining precision.
Solution Approach 2:
The management apparatus dynamically adjusts calibration thresholds and reference values based on environmental conditions and sensor performance trends. By changing these parameters adaptively, the system optimizes calibration frequency - calibrating sensors only when necessary rather than on fixed schedules, thereby reducing time loss while maintaining measurement accuracy.
Data Source
AI summary
A management apparatus comprises: an acquisition unit that acquires first measurement information from a plurality of first sensors configured to measure a physical quantity related to environment in each of a plurality of areas, and acquires second measurement information from at least one second sensor configured to be mounted on at least one mobile object and to a measure physical quantity related to environment in each of the plurality of areas; an identification unit that identifies an abnormal area, where the physical quantity shows an abnormal value, based on each of the first measurement information and the second measurement information; and an authentication unit that authenticates that consistency between the first measurement information and the second measurement information is high when an abnormal area identified unit based on the first measurement information is an area identical to an abnormal area identified based on the second measurement information.