CN-122001916-A - Industrial Internet of things system and method for on-line maintenance of transmitter

CN122001916ACN 122001916 ACN122001916 ACN 122001916ACN-122001916-A

Abstract

The invention provides an industrial Internet of things system and method for on-line maintenance of a transmitter, the system comprises an industrial Internet of things management platform, the industrial Internet of things management platform is configured to acquire monitoring data of the transmitter and working condition state data of monitored equipment within a first preset period, determine a cross correlation coefficient according to the monitoring data and the working condition state data, identify an abnormal fluctuation mode corresponding to the monitoring data in response to the cross correlation coefficient being smaller than a coefficient threshold value, determine a reliability index of the transmitter according to data characteristics of the monitoring data, generate filtering parameters according to signal-to-noise ratio and spectrum distribution characteristics of the monitoring data in response to the reliability index being smaller than the first reliability threshold value, control the transmitter to adjust a filtering window and/or cut-off frequency based on the filtering parameters, and control the monitored equipment to stop in response to the reliability index being smaller than or equal to a second reliability threshold value, trigger an alarm and generate an artificial maintenance work order.

Inventors

SHAO ZEHUA
LI YONG
CHEN YUNBAI
SU CHANG
HE LEI

Assignees

成都秦川物联网科技股份有限公司

Dates

Publication Date: 20260508
Application Date: 20260402

Claims (10)

1. An industrial internet of things system for on-line maintenance of transmitters, comprising an industrial internet of things management platform configured to: acquiring monitoring data of a transmitter and working condition state data of monitored equipment within a first preset period; Determining a cross-correlation coefficient according to the monitoring data and the working condition state data, wherein the cross-correlation coefficient is configured to represent the correlation degree of the fluctuation trend of the monitoring data and the working condition state data; identifying an abnormal fluctuation mode corresponding to the monitoring data in response to the cross-correlation coefficient being less than a coefficient threshold; determining a reliability index of the transmitter according to the data characteristics of the monitoring data, wherein the data characteristics comprise at least one of packet loss rate, signal-to-noise ratio and extremum data; Generating a filtering parameter according to the signal-to-noise ratio and the frequency spectrum distribution characteristic of the monitoring data in response to the reliability index being smaller than a first reliability threshold, and controlling the transmitter to adjust a filtering window and/or a cut-off frequency based on the filtering parameter; And responding to the reliability index being smaller than or equal to a second reliability threshold, controlling the monitored equipment to stop, triggering an alarm and generating a manual maintenance work order, wherein the first reliability threshold is larger than the second reliability threshold.
2. The system of claim 1, wherein the industrial internet of things management platform is further configured to: Determining a common mode drift component based on a median of the variation of the monitoring data of the plurality of transmitters; and determining the reliability index through a prediction model according to the data characteristics of the monitoring data, the working condition state data of the monitored equipment and the common mode drift component, wherein the prediction model is a machine learning model.
3. The system of claim 2, wherein the inputs to the predictive model further comprise on-board temperature data and supply voltage data for the plurality of transmitters.
4. The system of claim 1, wherein the industrial internet of things management platform is further configured to: and determining the delay index of the transmitter according to a time difference sequence of the platform receiving time and the actual collecting time of the monitoring data in a second preset period of time in response to the reliability index being larger than a second preset threshold, wherein the second preset period of time comprises a plurality of first preset periods of time.
5. The system of claim 4, wherein the industrial internet of things management platform is further configured to: generating a down-conversion parameter according to the delay index in response to the delay index being greater than an index threshold; And controlling the transmitter to adjust the triggering frequency of the sending timer based on the frequency-reducing parameter, and prolonging the retransmission waiting time.
6. A method for on-line maintenance of a transmitter, the method performed by an industrial internet of things management platform, the method comprising: acquiring monitoring data of a transmitter and working condition state data of monitored equipment within a first preset period; Determining a cross-correlation coefficient according to the monitoring data and the working condition state data, wherein the cross-correlation coefficient is configured to represent the correlation degree of the fluctuation trend of the monitoring data and the working condition state data; identifying an abnormal fluctuation mode corresponding to the monitoring data in response to the cross-correlation coefficient being less than a coefficient threshold; determining a reliability index of the transmitter according to the data characteristics of the monitoring data, wherein the data characteristics comprise at least one of packet loss rate, signal-to-noise ratio and extremum data; Generating a filtering parameter according to the signal-to-noise ratio and the frequency spectrum distribution characteristic of the monitoring data in response to the reliability index being smaller than a first reliability threshold, and controlling the transmitter to adjust a filtering window and/or a cut-off frequency based on the filtering parameter; And responding to the reliability index being smaller than or equal to a second reliability threshold, controlling the monitored equipment to stop, triggering an alarm and generating a manual maintenance work order, wherein the first reliability threshold is larger than the second reliability threshold.
7. The method of claim 6 wherein said determining a reliability indicator of said transmitter based on a data characteristic of said monitoring data comprises: Determining a common mode drift component based on a median of the variation of the monitoring data of the plurality of transmitters; and determining the reliability index through a prediction model according to the data characteristics of the monitoring data, the working condition state data of the monitored equipment and the common mode drift component, wherein the prediction model is a machine learning model.
8. The method of claim 7, wherein the inputs to the predictive model further comprise on-board temperature data and supply voltage data for the plurality of transmitters.
9. The method according to claim 6, wherein the method further comprises: and determining the delay index of the transmitter according to a time difference sequence of the platform receiving time and the actual collecting time of the monitoring data in a second preset period of time in response to the reliability index being larger than a second preset threshold, wherein the second preset period of time comprises a plurality of first preset periods of time.
10. The method according to claim 9, wherein the method further comprises: generating a down-conversion parameter according to the delay index in response to the delay index being greater than an index threshold; And controlling the transmitter to adjust the triggering frequency of the sending timer based on the frequency-reducing parameter, and prolonging the retransmission waiting time.

Description

Industrial Internet of things system and method for on-line maintenance of transmitter Technical Field The specification relates to the technical field of transmission maintenance, in particular to an industrial Internet of things system and method for on-line maintenance of a transmitter. Background In industrial sites (e.g., chemical plants, power plants, etc.), transmitters (e.g., pressure transmitters, temperature transmitters, vibration transmitters, etc.) are used to acquire equipment operating conditions (e.g., pipeline pressure, temperature, etc.) in real time and to convert monitored physical quantities (e.g., pressure, temperature) into standard signals for remote transmission. However, industrial environments often exist in harsh conditions such as strong electromagnetic interference, high temperature, vibration, etc., which can cause abnormal fluctuations in the transmitter data. The traditional data analysis method is difficult to accurately judge whether the monitored equipment has problems (such as pressure sudden rise caused by pipe blockage) or the performance of the transmitter is degraded or malfunctions (such as zero drift, clock drift and communication delay). At present, an effective fault tracing means is lacking, and operation and maintenance personnel often rely on experience to judge or frequently replace a transmitter, so that the maintenance cost is high and the misjudgment risk is high. Based on the above, it is desirable to provide a system, a method and a storage medium for on-line maintenance of an industrial internet of things of a transmitter, which can accurately distinguish real abnormality of equipment from failure of the transmitter itself in a high noise environment, so as to improve reliability and maintenance efficiency of an industrial monitoring system. Disclosure of Invention One or more embodiments of the present specification provide an industrial internet of things system for transmitter online maintenance, including an industrial internet of things management platform configured to perform an industrial internet of things method for transmitter online maintenance. One or more embodiments of the present disclosure provide an industrial internet of things method for on-line maintenance of a transmitter, which is implemented based on an internet of things system, and the method includes acquiring monitoring data of the transmitter and operating condition state data of a monitored device within a first preset period of time, determining a cross-correlation coefficient according to the monitoring data and the operating condition state data, the cross-correlation coefficient being configured to characterize a degree of correlation of a fluctuation trend of the monitoring data and the operating condition state data, identifying an abnormal fluctuation mode corresponding to the monitoring data in response to the cross-correlation coefficient being smaller than a coefficient threshold, determining a reliability index of the transmitter according to a data characteristic of the monitoring data, the data characteristic including at least one of a packet loss rate, a signal-to-noise ratio, and extremum data, generating a filter parameter according to the signal-to-noise ratio and a spectrum distribution characteristic of the monitoring data, and controlling the transmitter to adjust a filter window and/or a cut-off frequency based on the filter parameter, controlling the transmitter to be smaller than or equal to a second reliability threshold in response to the reliability index to be smaller than or equal to a second reliability threshold, and triggering a single-monitor device to be shut down, and generating an alarm, wherein the first reliability threshold is larger than a manual reliability threshold. One or more embodiments of the present specification provide a computer-readable storage medium storing computer instructions that, when read by a computer in the storage medium, perform any of the above methods for transmitter online maintenance of industrial internet of things. One or more embodiments of the invention have at least the following technical effects that (1) the industrial Internet of things management platform distinguishes real working condition fluctuation from the abnormality of the transmitter itself through the cross-correlation coefficient, thereby fundamentally avoiding false alarm. And performing hierarchical intelligent treatment according to the reliability index, wherein when the reliability index is smaller than a first reliability threshold, the reliability index indicates that the transmitter possibly has a repairable slight abnormality, performing on-line parameter self-adaptive adjustment on the repairable slight abnormality, and when the reliability index is smaller than a second reliability threshold, the reliability index indicates that the transmitter possibly has an unrepairable serious fault, and when the unrepairable serious fault