US 11,480,595 B2Granted

Estimation of a physical quantity by a distributed measurement system

AssigneeVoltalis

InventorsBruno Heintz, Mathieu Bineau, Marc Autord, Jean Marc Oury

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Abstract

The invention relates to the estimation of a time-variable physical quantity by a distributed system comprising a centralized platform and a set of distributed measurement devices each communicating with the platform via a communication network, on the basis of the measurement (100), by each device of the set, of a local datum representative of the physical quantity, the collection (120) by the centralized platform, over a predetermined sampling period, of measurement samples originating from a subset of devices of said set via said communication network, and the estimation (130) of the physical quantity over the sampling period on the basis of the collected samples. According to the invention, each device of said set executes (110), in each sampling period, a local algorithm deciding randomly and based on a sending probability associated with each device, whether the corresponding measurement device is part of said subset. The physical quantity is estimated on the basis of the measurement samples collected and the predefined sending probability for each device belonging to the subset.

Claims8

Dependent claims

A method for estimating a time-variable physical quantity P(T) by means of a distributed measurement system having a centralized platform and a set composed of a plurality of distributed measurement devices each able to communicate remotely with said centralized platform via a communication network, the method comprising:

a step of measuring, by means of each measurement device of said set, a local datum representative of said physical quantity,
a step of collecting, over a predetermined sampling period T, measurement samples originating from a subset of said set in which each measurement device belonging to said subset transmits, to said centralized platform, a measurement sample Pi of the local datum via said communication network, and
a step of estimating said physical quantity P(T) over the sampling period on the basis of an aggregate of the collected measurement samples Pi,
wherein the method includes, in each sampling period T, a phase of executing, at each measurement device of said set, a local decision algorithm able to decide, randomly and based on a sending probability πi associated with each measurement device, whether the corresponding measurement device is part of said subset by generating a random number and comparing said random number to said sending probability πi, and wherein said physical quantity P(T) is estimated in each sampling period T on the basis of the collected measurement samples Pi and the sending probability πi associated with each measurement device belonging to said subset by calculation according to the following relationship
P
⁡
(
T
)
=
∑
i
=
1
N
′
P
i
(
T
)
π
i
(
T
)
in which N′ is the number of measurement devices of the subset.

24 more elements

A distributed measurement system for estimating a time-variable physical quantity P(T), the system comprising:

a centralized platform and a set composed of a plurality of distributed measurement devices each able to communicate remotely with said centralized platform via a communication network, the system being configured such that, in a measurement step, each measurement device of said set measures a local datum representative of said physical quantity, in a collection step, each measurement device belonging to a subset of said set transmits, to said centralized platform, a measurement sample Pi of the local datum via said communication network over a predetermined sampling period T, and, in an estimation step, the centralized platform estimates said physical quantity P(T) over the sampling period on the basis of an aggregate of the collected measurement samples,
wherein each measurement device of said set comprises a software module configured to execute, in each sampling period, a local decision algorithm able to decide, randomly and based on a sending probability πi associated with each measurement device, whether the corresponding measurement device is part of said subset by generating a random number and comparing said random number to said sending probability πi, and wherein the centralized platform is configured to estimate, in each sampling period T, the physical quantity P(T) on the basis of the collected measurement samples Pi and the sending probability πi associated with each measurement device belonging to said subset by calculation according to the following relationship
P
⁡
(
T
)
=
∑
i
=
1
N
′
P
i
(
T
)
π
i
(
T
)
in which N′ is the number of measurement devices of the subset.

22 more elements

Dependencies are inferred from the claim text.

Facts

Application: 17/282,742Filed 1 Oct 2019
Priority: FR 18 591974 Oct 2018
Published: US 2022/0003802 A16 Jan 2022
Granted: 25 Oct 2022
Term ends: Not estimatedThe source records don’t support an estimate.

Classification14 codes

G01R 21/133
Arrangements for measuring electric power or power factor: by using digital technique
H02J 3/14
Arrangements for adjusting voltage in AC networks by changing a characteristic of the network load: by switching loads on to, or off from, the…
H02J 13/12
Circuit arrangements for providing remote monitoring or remote control of equipment in a power distribution network: monitoring network…
H02J 13/13
Circuit arrangements for providing remote monitoring or remote control of equipment in a power distribution network: characterised by the…