US 2020/0004232 A1 · PEOPLE FLOW ESTIMATION SYSTEM AND THE FAILURE PROCESSING METHOD THEREOF

Abstract

A human flow estimation system comprises: a sensor network comprising a plurality of sensors arranged in a to-be-estimated region for detecting the human flow; a model building module configured to build a human flow state model based on arrangement positions of the sensors, and build a sensor network model based on data of the sensors; and a human flow estimation module configured to estimate the human flow and provide a data weight of the estimated human flow based on the human flow state model and the sensor network model. The human flow estimation system further comprises a failure detection module configured to detect whether each sensor in the sensor network is abnormal, and the model building module is further configured to adjust the human flow state model and the sensor network model when an exception exists on the sensor.

Claims28

Dependent claims

A human flow estimation system, characterized by comprising:

a sensor network comprising a plurality of sensors arranged in a to-be-estimated region for detecting the human flow;
a model building module configured to build a human flow state model based on arrangement positions of the sensors, and build a sensor network model based on data of the sensors;
and
a human flow estimation module configured to estimate the human flow and provide a data weight of the estimated human flow based on the human flow state model and the sensor network model,
wherein the human flow estimation system further comprises a failure detection module configured to detect whether each sensor in the sensor network is abnormal, and the model building module is further configured to adjust the human flow state model and the sensor network model when an exception exists on the sensor.

2 more elements

A failure processing method for a human flow estimation system, characterized in that the human flow estimation system comprises a sensor network, a model building module, a human flow estimation module, and a failure detection module;

and the failure processing method comprises:
a failure detection step S100, for detecting in real time whether each sensor for detecting the human flow in the sensor network is abnormal;
a model adjustment step S200, for adjusting a human flow state model and a sensor network model involved in the human flow estimation system when an exception is detected on a sensor;
and not adjusting the human flow state model and the sensor network model when no exception is detected on the sensor;
and
a human flow estimation step S300, for estimating the human flow and providing a data weight of the estimated human flow based on the human flow state model and the sensor network model in step S200;
wherein the human flow state model is built based on arrangement positions of the sensors, and the sensor network model is built based on data of the sensors.

4 more elements

Dependencies are inferred from the claim text.

People flow estimation system and the failure processing method thereof

Life of this patent

People flow estimation system and the failure processing method thereof

Life of this patent

Abstract

Claims28