Calibration method for distributed sensor system
AssigneeAclima Inc.
InventorsDavida Herzl, Gabriel Risk, Roland Herzl, Tobe Corazzini, Stanley Hu
Life of this patent
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Abstract
Methods of calibrating sensors in a distributed sensor system including a set of spatially distributed base units in communication with a central server over a data network include using a reference sensor, using a reference base unit, using crowd-sourced calibration, using sensor data collected in the same base unit, using sensor cross-sensitivity, or using sensor data from known environmental conditions.
Claims16
A method of calibrating sensors in a distributed sensor system comprising a plurality of spatially distributed base units in communication with a central server over a data network, each base unit comprising one or more sensors configured to measure an air quality parameter, the method comprising:
- receiving a reference sensor measurement from a reference sensor in a first base unit;
- identifying the reference sensor measurement by a sensor identifier uniquely identifying the reference sensor in the first base unit and a board identifier uniquely identifying the first base unit;
- receiving a test sensor measurement from a first sensor under test;
- assessing calibration data values for the first sensor under test using the reference sensor measurement and the test sensor measurement;
- and
- storing updated calibration data values for the first sensor under test.
A method of calibrating sensors in a distributed sensor system comprising a plurality of is spatially distributed base units in communication with a central server over a data network, each base unit comprising one or more sensors configured to measure an air quality parameter, the method comprising:
- receiving sensor measurements from sensors of the same sensor type in neighboring base units belonging to a calibration group;
- analyzing sensor measurements for the sensors in the calibration group;
- assessing calibration data values for one or more sensors in the calibration group using the sensor measurements received from the calibration group;
- and
- storing updated calibration data values for the one or more sensors.
A method of calibrating sensors in a distributed sensor system comprising a plurality of spatially distributed base units in communication with a central server over a data network, each base unit comprising one or more sensors configured to measure an air quality parameter, the method comprising:
- receiving a sensor measurement associated with air quality from a first sensor in a first base unit;
- receiving a sensor measurement associated with an ambient condition from the first base unit;
- assessing calibration data values for the first sensor using the sensor measurement associated with the ambient condition;
- and
- storing updated calibration data values for the first sensor.
A method of calibrating sensors in a distributed sensor system comprising a plurality of spatially distributed base units in communication with a central server over a data network, each base unit comprising one or more sensors configured to measure an air quality parameter, the method comprising:
- associating a first sensor in a base unit with a second sensor in the base unit having sensor cross-sensitivity;
- receiving sensor measurements from the first sensor and the second sensor;
- analyzing sensor measurements from the first sensor and the second sensor;
- assessing calibration data values for the first and second sensors based on the sensor measurements from the first and second sensors;
- and
- storing updated calibration data values for the first and second sensors.
A method of calibrating sensors in a distributed sensor system comprising a plurality of spatially distributed base units in communication with a central server over a data network, each base unit comprising one or more sensors configured to measure an air quality parameter, the method comprising:
- receiving a plurality of sensor measurements from a first sensor in a first base unit under a known environment condition over a period of time;
- analyzing the plurality of sensor measurements to determine a trend;
- assessing calibration data values for the first sensor based on the trend analysis;
- and
- storing updated calibration data values for the first sensor.
Dependencies are inferred from the claim text.