US 2026/0010429 A1 · SYSTEM AND METHODS FOR MULTIDIMENSIONAL ADAPTIVE SENSING AND IMPLEMENTATIONS THEREOF

Abstract

The present disclosure relates to a multidimensional adaptive sensing system and method for event detection with improved accuracy. The system dynamically adjusts, using baseline and compound models, a triggering conditional threshold of each event based on real-time variations in environmental parameters and sensor health. The adaptive system allows for fine-tuning of sensitivity to environmental changes, seasonal variations, and sensor decay, thereby reducing false positives and negatives. Installation flexibility is achieved by selecting and deploying a subset of models tailored to available data at the sensor's location, ensuring optimal operation regardless of specific environmental conditions or sensor configurations. The adaptive sensing system is used in environmental control systems for dynamic routine management, sensor health management, a triage system for complex event analysis, and multifaceted compliance assurance solution. Further, the adaptive sensing system is used for automated configuration, model deployment, and maintenance by leveraging edge computing units and a central control unit.

Claims20

Dependent claims

An adaptive sensing system, comprising one or more memories;

and one or more processors configured to cause the adaptive sensing system to:
receive data from one or more sensing devices in a sensor network;
provide the data to a machine learning model trained to detect sensor abnormality in the one or more sensing devices;
receive, from the machine learning model, an output indicating that at least one sensing device of the one or more sensing devices is experiencing a sensor abnormality;
and
based on receiving the output indicating that the at least one sensing device is experiencing the sensor abnormality, dynamically adjust a detection parameter of the at least one sensing device to mitigate the sensor abnormality, wherein the detection parameter represents a signal value, that when satisfied, triggers an action.

3 more elements

An adaptive sensing system, comprising one or more memories;

and one or more processors configured to cause the adaptive sensing system to train a machine learning model to detect sensor abnormality in a sensing device, wherein to train comprises to:
receive a first set of data, over a first time period, from one or more sensing devices located within a sensing environment, the first set of data comprising data values corresponding to one or more parameters of the sensing environment;
based on reception of the first set of data from the one or more sensing devices, determine a baseline detection parameter of a target sensing device of the one or more sensing devices;
select a scenario from a plurality of scenarios, wherein each scenario of the plurality of scenarios comprises one or more adjustments to one or more parameters of the sensing environment;
adjust one or more parameters of the sensing environment according to the scenario to induce a sensor abnormality in the target sensing device;
subsequent to adjustment of one or more parameters of the sensing environment, receive a second set of data, over a second time period, from one or more sensing devices located within the sensing environment about the one or more parameters of the sensing environment;
detect that the target sensing device is experiencing a sensor abnormality based on the second set of data received over the second time period;
based on detection that the target sensing device has experienced the sensor abnormality, identify a new detection parameter for the target sensing device to mitigate the sensor abnormality;
and
train the machine learning model on the first set of data, the baseline detection parameter, the second set of data, and the new detection parameter such that the machine learning model is configured to detect sensor abnormalities in sensing devices and identify new detection parameters for the sensing devices.

7 more elements

Dependencies are inferred from the claim text.

System and methods for multidimensional adaptive sensing and implementations thereof

Life of this patent

System and methods for multidimensional adaptive sensing and implementations thereof

Life of this patent

Abstract

Claims20