CN-122020516-A - Method and device for generating monitoring sequence data

CN122020516ACN 122020516 ACN122020516 ACN 122020516ACN-122020516-A

Abstract

The application provides a method and a device for generating monitoring sequence data. The method comprises the steps of obtaining at least one acquisition signal, determining a signal type corresponding to the acquisition signal aiming at any acquisition signal, processing the acquisition signal according to the signal type corresponding to the acquisition signal to obtain state data corresponding to the acquisition signal, and fusing the state data corresponding to the at least one acquisition signal to generate monitoring sequence data. The acquired signals are processed according to the signal types corresponding to each acquired signal, so that corresponding state data are obtained, the state data corresponding to each acquired signal are fused, and monitoring sequence data are generated, and the technical problems that in the prior art, the implementation process is complex, the efficiency is low, the real-time synchronous processing requirements of multi-source signals are difficult to adapt, in addition, the experience of operators is highly depended, data mismatch and analysis errors are easily caused by human errors, and the accuracy, consistency and generation timeliness of the monitoring sequence data are seriously affected can be solved.

Inventors

LI JIARUI
BAI YINGJIE
GUO GUILIANG
LIU KANGLI
ZHANG XIAOKUN
SUN KANGYU
ZHANG CHAOYUAN
Bi shuo

Assignees

北京航天测控技术有限公司

Dates

Publication Date: 20260512
Application Date: 20251230

Claims (10)

1. A method of generating monitoring sequence data, the method comprising: Acquiring at least one acquisition signal; determining a signal type corresponding to any acquired signal; processing the acquired signals according to the signal types corresponding to the acquired signals to obtain state data corresponding to the acquired signals; and fusing the state data corresponding to at least one acquired signal to generate monitoring sequence data.
2. The method of claim 1, wherein the determining the signal type corresponding to the acquired signal comprises: acquiring signal characteristics from the acquired signals, wherein the signal characteristics comprise at least one of baud rate, data frame structure and data format; searching target features matched with the signal features from a preset feature library; And determining the signal type corresponding to the target feature as the signal type corresponding to the acquired signal.
3. The method according to claim 1, wherein the processing the collected signals according to the signal types corresponding to the collected signals to obtain the state data corresponding to the collected signals includes: determining an analysis rule corresponding to the signal type; And processing the acquired signals based on the analysis rule to obtain state data corresponding to the acquired signals.
4. The method of claim 3, wherein the processing the collected signals based on the parsing rule to obtain status data corresponding to the collected signals includes: extracting effective data from the acquired signals according to the analysis rule; and calculating the characteristic value of the effective data to obtain the state data corresponding to the acquisition signal.
5. The method of claim 1, wherein the fusing the status data corresponding to at least one of the acquisition signals to generate the monitoring sequence data includes: acquiring a preset fusion rule; Determining a target data set from the state data corresponding to at least one acquisition signal based on the preset fusion rule; and performing time alignment on the data in the target data set to generate the monitoring sequence data.
6. The method of claim 5, after said generating said monitoring sequence data, comprising: Performing association analysis on the state data of different signal types in the monitoring sequence data to generate an association analysis result; and generating a detection report and/or performing fault diagnosis according to the correlation analysis result.
7. The method of claim 1, comprising, prior to said determining the signal type to which the acquisition signal corresponds: Preprocessing the acquisition signals to generate initial acquisition signals; And performing quality check on the initial acquisition signal, and executing the step of determining the signal type corresponding to the acquisition signal under the condition that the quality check of the initial acquisition signal is successful.
8. The method according to claim 1, wherein the method further comprises: and adjusting the frequency of collecting the collected signals according to the signal type corresponding to the collected signals and/or the attribute of the collected signals.
9. The method of claim 1, comprising, after the generating the monitoring sequence data: acquiring a historical operation baseline; Comparing the monitoring sequence data with the historical operation baseline, and determining the degree of deviation of the monitoring sequence data from the historical operation baseline; And if the degree of the deviation of the monitoring sequence data from the historical operation baseline exceeds a preset threshold value, generating abnormal early warning information.
10. A device for generating monitoring sequence data, the device comprising: the signal acquisition module is used for acquiring at least one acquisition signal; the signal type determining module is used for determining the signal type corresponding to any acquired signal; the state data determining module is used for processing the acquisition signals according to the signal types corresponding to the acquisition signals to obtain state data corresponding to the acquisition signals; And the monitoring sequence data generation module is used for fusing the state data corresponding to at least one acquisition signal to generate monitoring sequence data.

Description

Method and device for generating monitoring sequence data Technical Field The present application relates to the field of sensor data processing technologies, and in particular, to a method and an apparatus for generating monitoring sequence data. Background Along with the improvement of the integration level of the monitoring system and the refinement of the monitoring requirement, the types of data required to be collected are increasingly diversified, and the types of corresponding sensor signals are also obviously increased. However, because of significant differences in protocol format, baud rate, data frame structure, etc. among different manufacturers and different types of sensor output signals, conventional methods generally rely on manual identification and configuration one by one, and analysis and conversion of signals from different sources are performed by means of a plurality of special analytical tools to generate monitoring sequence data. However, the method is complex in implementation process and low in efficiency, is difficult to adapt to the real-time synchronous processing requirement of the multi-source signals, is highly dependent on experience of operators, is easy to cause data mismatch and analysis errors due to human errors, and seriously affects the accuracy, consistency and generation timeliness of the monitoring sequence data. Disclosure of Invention The embodiment of the application aims to provide a method and a device for generating monitoring sequence data, which are used for solving the technical problems that the implementation flow is complicated, the efficiency is low, the real-time synchronous processing requirement of a multi-source signal is difficult to adapt, the experience of an operator is highly depended, the data mismatch and analysis error are easy to be caused by human errors, and the accuracy, the consistency and the generation timeliness of the monitoring sequence data are seriously affected in the prior art. The specific technical scheme is as follows: in a first aspect of the embodiment of the present application, there is first provided a method for generating monitoring sequence data, the method including: Acquiring at least one acquisition signal; determining a signal type corresponding to any acquired signal; processing the acquired signals according to the signal types corresponding to the acquired signals to obtain state data corresponding to the acquired signals; and fusing the state data corresponding to at least one acquired signal to generate monitoring sequence data. In an optional embodiment, the determining the signal type corresponding to the acquired signal includes: acquiring signal characteristics from the acquired signals, wherein the signal characteristics comprise at least one of baud rate, data frame structure and data format; searching target features matched with the signal features from a preset feature library; And determining the signal type corresponding to the target feature as the signal type corresponding to the acquired signal. In an optional embodiment, the processing the collected signal according to the signal type corresponding to the collected signal to obtain the state data corresponding to the collected signal includes: determining an analysis rule corresponding to the signal type; And processing the acquired signals based on the analysis rule to obtain state data corresponding to the acquired signals. In an optional embodiment, the processing the collected signal based on the parsing rule to obtain the state data corresponding to the collected signal includes: extracting effective data from the acquired signals according to the analysis rule; and calculating the characteristic value of the effective data to obtain the state data corresponding to the acquisition signal. In an optional embodiment, the fusing the state data corresponding to at least one of the acquired signals to generate the monitoring sequence data includes: acquiring a preset fusion rule; Determining a target data set from the state data corresponding to at least one acquisition signal based on the preset fusion rule; and performing time alignment on the data in the target data set to generate the monitoring sequence data. In an alternative embodiment, after said generating said monitoring sequence data, it comprises: Performing association analysis on the state data of different signal types in the monitoring sequence data to generate an association analysis result; and generating a detection report and/or performing fault diagnosis according to the correlation analysis result. In an alternative embodiment, before said determining the signal type corresponding to the acquired signal, the method includes: Preprocessing the acquisition signals to generate initial acquisition signals; And performing quality check on the initial acquisition signal, and executing the step of determining the signal type corresponding to the acquisition signal under the c