# US 12,111,199 B2 · Method for data compression during fill level measurement

> Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt

- Number: US 12,111,199 B2
- Document ID: US12111199B2
- Status: Granted
- Kind: B2
- Application number: 17/416,194
- Filed: 2019-11-21
- Published: 2022-02-24
- Granted: 2024-10-08
- Earliest claimed: 2018-12-21
- Assignees: Endress + Hauser GmbH + Co. KG
- Applicants: Endress+Hauser SE+Co. KG
- Inventors: Johannes Baureithel; Markus Vogel
- Web page: https://patentgrep.com/patent/US12111199B2

## CPC

- G01F 23/284: Electromagnetic waves
- G01F 25/20: of apparatus for measuring liquid level
- G01S 7/354: {Extracting wanted echo-signals (Doppler systems G01S13/50)}
- G01S 7/2926: {by integration}
- G01F: MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01S: RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES

## Abstract

The present disclosure relates to a method for compressing an evaluation curve, which is recorded during a radar-based fill level measurement of a filling material located in a container, and to a corresponding fill level measurement device for carrying out the method. Corresponding to the compression method according to the present disclosure, the present disclosure comprises a corresponding method for decompressing the compressed evaluation curve. The compression method is characterized in that the compression occurs using linear prediction, by corresponding estimation coefficients and an error curve being created. This makes use of the finding according to the present disclosure that evaluation curves can be compressed for diagnostic purposes, in particular in the case of FMCW-based fill level measurement, efficiently and without data loss using the model of linear prediction.

## Claims

### Claim 1

A method for compressing an evaluation curve, which is recorded during a radar-based fill level measurement of a filling material located in a container, the method comprising:
emitting a radar signal in the direction of the filling material;
receiving a receive signal after reflection of the radar signal inside the container;
recording an evaluation curve based on at least the receive signal; and
generating an approximated evaluation curve ({circumflex over (x)}[n]) and associated estimation coefficients using a linear prediction of the evaluation curve, wherein the approximated evaluation curve ({circumflex over (x)}[n]) is defined as:
x
ˆ
[
n
]
=
-
∑
i
=
1
N
K
i
⁢
x
[
n
-
i
]
wherein x[n−i] is a previous value of the evaluation curve, and Ki are the estimation coefficients.

### Claim 2 (depends on 1)

The method according to claim 1, wherein an error curve is generated by subtracting the evaluation curve from the approximated evaluation curve.

### Claim 3 (depends on 2)

The method according to claim 2, wherein the estimation coefficients are iteratively calculated using the linear prediction such that the iterative calculating is terminated when a data sum of the estimation coefficients and the error curve is minimized.

### Claim 4 (depends on 2)

The method according to claim 2, wherein a compressed error curve is generated using entropy coding based on the error curve and its corresponding statistical properties.

### Claim 5 (depends on 4)

The method according to claim 4, wherein a logistic distribution is used as the distribution model for the entropy coding, such that a standard deviation of the error curve is calculated as a statistical property.

### Claim 6 (depends on 4)

The method according to claim 4, wherein range coding or Golomb coding is used as the data compression method for the entropy coding.

### Claim 7 (depends on 4)

A method for decompressing the evaluation curve according to claim 4, the method comprising:
generating the decompressed error curve by using entropy decoding of the compressed error curve and of the corresponding statistical properties;
restoring the approximated evaluation curve by using the estimation coefficients based on the model of linear prediction; and
restoring the evaluation curve using addition of the decompressed error curve and the approximated evaluation curve.

### Claim 8 (depends on 2)

A radar-based fill level measurement device for performing the method according to claim 2, the fill level measurement device comprising:
a signal-generating unit configured to emit the radar signal in the direction of the filling material;
a receiving unit configured to receive the corresponding receive signal after reflection of the radar signal inside the container;
an evaluation unit configured to:
generate the evaluation curve based on at least the receive signal;
generate the approximated evaluation curve and its estimation coefficients, using at least one linear prediction of the evaluation curve;
generate the error curve by subtracting the evaluation curve from the approximated evaluation curve; and
determine the fill level based on the evaluation curve or the estimation coefficients; and
an interface which operable to transmit at least the estimation coefficients and the error curve, and/or a memory operable to store at least the estimation coefficients and the error curve.

### Claim 9 (depends on 8)

The fill level measurement device according to claim 8, wherein the evaluation unit is designed to perform the linear prediction based on the lattice filter model.

### Claim 10 (depends on 8)

The fill level measurement device according to claim 8, wherein the signal-generating unit, the receiving unit and the evaluation unit are designed to determine the evaluation curve based on the FMCW principle.