METHOD FOR DETERMINING VARIABLES OF A PRODUCTION-DATA CAPTURE OR MACHINE-DATA CAPTURE PROCESS

• US 20170010606A1
• Filed: 01/26/2015
• Published: 01/12/2017
• Est. Priority Date: 02/04/2014
• Status: Active Application

• Current Assignee: B&R Industrial Automation GmbH (ABB Limited)
• Original Assignee: Bernecker + Rainer Industrie-Elektronik GmbH (ABB Limited)
• Inventors: EDER, Franz
• Application Number:
  US15/116,394
• Publication Number:
  US 20170010606A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G05B 23/0221 Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods

Abstract

In order to capture production data capture process or machine data of a cyclically operating production machine in a simple manner, it is provided that a measurement signal (S₁, S₂, S₃, . . . , S_n) is used in order to determine the working cycle of the consumer unit (2₁, 2₂, 2₃, . . . , 2_n) and the measurement signal (S₁, S₂, S₃, . . . , S_n) is simultaneously mathematically analyzed in order to determine a working cycle of the consumer (2₁, 2₂, 2₃, . . . , 2_n) and with the determined cycle duration of the working cycle to determine at least one variable of the production data capture process or machine data capture process.

Claims

1. A method for determining variables of a production data capture process or machine data capture process of a cyclically operating consumer unit (2₁, 2₂, 2₃, . . . , 2_n) of a production process, wherein at least one measurement signal (S₁, S₂, S₃, . . . , S_n) of the consumer unit (2₁, 2₂, 2₃, . . . , 2_n) which characterizes the energy consumption is captured and the energy consumption of the consumer unit (2₁, 2₂, 2₃, . . . , 2_n) is determined therefrom, characterized in that the at least one measurement signal (S₁, S₂, S₃, . . . , S_n) is simultaneously mathematically analyzed in order to determine a working cycle of the consumer unit (2₁, 2₂, 2₃, . . . , 2_n) and to determine at least one variable of the production data capture process or machine data capture process out of the determined cycle duration of the working cycle.

2. The method according to claim 1, characterized in that the working cycle is determined by an autocorrelation analysis of the measurement signal (S₁, S₂, S₃, . . . , S_n).

3. The method according to claim 1, characterized in that the working cycle is determined by searching of a recurring dominant frequency in the frequency spectrum of the measurement signal (S₁, S₂, S₃, . . . , S_n).

4. The method according to claim 1, characterized in that the working cycle is determined by searching for a characteristic recurring signal pattern in the measurement signal (S₁, S₂, S₃, . . . , S_n).

5. The method according to claim 1, characterized in that the clock pulse of the consumer unit (2₁, 2₂, 2₃, . . . , 2_n) is determined from the determined working cycle, and from this the number of produced parts and/or the production speed of the consumer unit (2₁, 2₂, 2₃, . . . , 2_n) can be determined as variable of the production data capture process and machine data capture process.

6. The method according to claim 1, characterized in that the signal pattern of the measurement signal (S₁, S₂, S₃, . . . , S_n) is integrated over the working cycle, from which a break, malfunction or switching off of the consumer unit (2₁, 2₂, 2₃, . . . 2_n) is determined as variable of the production data capture process and machine data capture process.

7. The method according to claim 1, characterized in that the signal pattern of the measurement signal (S₁, S₂, S₃, . . . , S_n) is integrated over the working cycle, from which changes in the production process or of the consumer unit (2₁, 2₂, 2₃, . . . , 2_n) can be determined from a comparison of the integrals over successive working cycles or with a predetermined threshold value.

8. The method according to claim 1, characterized in that the signal pattern of the measurement signal (S₁, S₂, S₃, . . . , S_n) is integrated over the working cycle, and the process consistency or the production quality are determined from the variance of the integral of the measurement signal (S1, S2, S3, . . . , Sn) of successive working cycles as a variable of the production data capture process and machine data capture process.

9. The method according to claim 1, characterized in that a specific production process is determined by comparison or autocorrelation of the measurement signal (S₁, S₂, S₃, . . . , S_n) of a working cycle with a stored sample signal pattern.

10. The method according to claim 1, characterized in that the energy consumption of a plurality of consumer units (2₁, 2₂, 2₃, . . . , 2_n) is determined and from this a total energy consumption over time is determined, and the total energy consumption is optimized in order to smooth energy consumption peaks.