CN115186007A - Airborne data identification real-time display method and system for monitoring and reminding - Google Patents
Airborne data identification real-time display method and system for monitoring and reminding Download PDFInfo
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Abstract
The invention provides a real-time display method and a real-time display system for airborne data identification for monitoring and reminding, which are applied to the technical field of data monitoring and reminding, and comprise the following steps: and acquiring airborne data and preprocessing the data to obtain a processed data set. And classifying the processed data set to obtain a classified integrated data set. And carrying out fluctuation analysis on the classified and integrated data set to obtain fluctuation data information. And matching the associated parameter set according to the fluctuation data information to perform associated fluctuation evaluation on the fluctuation data set, and performing sequential sorting. And performing fault type and grade evaluation according to the associated fluctuation evaluation sequence ordering and the fluctuation data information to obtain an evaluation result. And displaying the fluctuation data information, the associated fluctuation evaluation sequence sequencing result and the evaluation result through a display device. The problem of lack of intelligent machine carries data real-time display method among the prior art, lead to operating personnel to need expend a large amount of efforts to handle the operational data that produces, cause flight safety to reduce is solved.
Description
Technical Field
The invention relates to the technical field of data monitoring and reminding, in particular to a method and a system for displaying airborne data identification in real time for monitoring and reminding.
Background
The airborne data refers to various airplane operation data generated in the airplane operation process, and due to the fact that the data volume of the operation data generated in the airplane operation process is huge, and the existing data display system is not intelligent enough, intelligent judgment and optimized display cannot be conducted on the airborne data, and therefore operating personnel need to expend a large amount of energy to process the generated operation data.
Therefore, an intelligent airborne data real-time display method is lacked in the prior art, so that operators need to expend a great deal of energy to process generated operation data, and the technical problem of flight safety reduction is caused.
Disclosure of Invention
The application provides an airborne data identification real-time display method and system for monitoring and reminding, and aims to solve the technical problem that flight safety is reduced due to the fact that an operator needs to expend a large amount of energy to process generated operation data because an intelligent airborne data real-time display method is lacked in the prior art.
In view of the above, the present application provides a method and a system for displaying an onboard data identifier for monitoring reminders in real time.
In a first aspect of the present application, a method for displaying an onboard data identifier of a monitoring reminder in real time is provided, the method is applied to a reminder control system, the reminder control system is in communication connection with a display device and a data acquisition device, and the method includes: acquiring airborne data through the data acquisition device to obtain an airborne data set with a time identifier; carrying out data preprocessing on the airborne data to obtain a processed data set; carrying out data classification on the processing data set to obtain a classified integration data set; performing fluctuation analysis based on the classified and integrated data set to obtain fluctuation data information; matching a correlation parameter set according to the fluctuation data information, performing correlation fluctuation evaluation on the correlation parameter set based on the classification integration data set, and obtaining a correlation fluctuation evaluation sequence sorting result; performing fault type and grade evaluation on the basis of the associated fluctuation evaluation sequence sorting result and the fluctuation data information to obtain an evaluation result; and displaying the fluctuation data information, the associated fluctuation evaluation sequence sorting result and the evaluation result through the display device.
In a second aspect of the present application, a real-time display system for airborne data identification for monitoring and reminding is provided, the system is in communication connection with a display device and a data acquisition device, and the system includes: the data acquisition module is used for acquiring airborne data through the data acquisition device to obtain an airborne data set with a time identifier; the processing data set acquisition module is used for carrying out data preprocessing on the airborne data to obtain a processing data set; the classified and integrated data set acquisition module is used for carrying out data classification on the processed data set to obtain a classified and integrated data set; the fluctuation data information acquisition module is used for carrying out fluctuation analysis based on the classified integration data set to obtain fluctuation data information; the association fluctuation evaluation module is used for matching an association parameter set according to the fluctuation data information, carrying out association fluctuation evaluation on the association parameter set based on the classification integration data set and obtaining an association fluctuation evaluation sequence ordering result; the evaluation result acquisition module is used for carrying out fault type and grade evaluation on the basis of the associated fluctuation evaluation sequence sorting result and the fluctuation data information to obtain an evaluation result; and the data display module is used for displaying the fluctuation data information, the associated fluctuation evaluation sequence sorting result and the evaluation result through the display device.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
according to the method provided by the embodiment of the application, the processed data set is obtained by acquiring airborne data and preprocessing the data. And carrying out category classification on the processed data set to obtain a classified and integrated data set. And carrying out fluctuation analysis on the classified and integrated data set to obtain fluctuation data information with obvious fluctuation data. And matching the associated parameter sets according to the fluctuation data information, merging, performing associated fluctuation evaluation, and sequencing evaluation results to obtain data with large fluctuation in the associated data. And performing fault type and grade evaluation according to the associated fluctuation evaluation sequence ordering and the fluctuation data information to obtain an evaluation result. And displaying the fluctuation data information, the associated fluctuation evaluation sequence sequencing result and the evaluation result through a display device. The monitoring and intelligent display of the real-time generated airborne data are realized, and the processing efficiency of operators is improved, so that the technical effect of flight safety is improved. The problem of lack of intelligent machine carries data real-time display method among the prior art, lead to operating personnel to need expend a large amount of efforts to handle the operational data that produces, cause flight safety to reduce is solved.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
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Fig. 1 is a schematic flow chart of a method for displaying an onboard data identifier for monitoring reminders in real time according to the present application;
fig. 2 is a schematic flow chart illustrating the process of acquiring the fluctuation data information in the method for displaying the airborne data identifier of the monitoring reminder in real time according to the present application;
fig. 3 is a schematic flow chart illustrating a process of acquiring a relevant parameter set in a method for displaying an airborne data identifier of a monitoring reminder in real time according to the present application;
fig. 4 is a schematic structural diagram of an onboard data identification real-time display system for monitoring reminders according to the present application.
Description of reference numerals: the system comprises a data acquisition module 11, a processed data set acquisition module 12, a classified and integrated data set acquisition module 13, a fluctuation data information acquisition module 14, a related fluctuation evaluation module 15, an evaluation result acquisition module 16 and a data display module 17.
Detailed Description
The application provides an airborne data identification real-time display method and system for monitoring and reminding, and aims to solve the technical problem that flight safety is reduced due to the fact that an operator needs to expend a large amount of energy to process generated operation data because an intelligent airborne data real-time display method is lacked in the prior art.
The technical solution in the present application will be described clearly and completely with reference to the accompanying drawings. The embodiments described are only a part of the disclosure that can be realized by the present application, and not the entire disclosure of the present application.
Example one
As shown in fig. 1, the present application provides a real-time display method for airborne data identifier of monitoring reminder, which is applied to a reminder control system, the reminder control system is in communication connection with a display device and a data acquisition device, and the method includes:
step 100: acquiring airborne data through the data acquisition device to obtain an airborne data set with a time identifier;
step 200: carrying out data preprocessing on the airborne data to obtain a processed data set;
specifically, the data acquisition device is used for acquiring airborne data, wherein the airborne data is generated when the aircraft operates and comprises operation data of each device inside the aircraft and the like. And acquiring the airborne data set with the time identification to obtain a data set containing airborne data and acquisition time. And then, carrying out data preprocessing on the airborne data, wherein the preprocessing comprises common data processing modes such as noise filtering, data conversion and the like, so that the system can further operate and process the acquired data to obtain a processed data set.
Step 300: carrying out data classification on the processing data set to obtain a classified integration data set;
step 400: performing fluctuation analysis based on the classified and integrated data set to obtain fluctuation data information;
specifically, the processing data set is subjected to data classification, and the data is classified according to a target position of data acquisition during the data classification, for example, the acquired target position is internal data of an engine, all the acquired internal data of the engine are taken as a category, and a plurality of category classification results are obtained to obtain a classification integrated data set, wherein the classification integrated data set comprises a specific category and a data set contained in the category. And performing fluctuation analysis on the classified and integrated data set, wherein the fluctuation analysis specifically comprises analyzing the fluctuation change of the time sequence continuity and the macroscopic integrity of the acquired data, and acquiring whether the data is interrupted in time continuity or not and whether mutation abnormality exists or not in the acquisition process. And acquiring the data with the abnormal condition to obtain the fluctuation data information.
As shown in fig. 2, the method steps 400 provided in the embodiment of the present application further include:
step 410: constructing a continuously changing characteristic constraint time interval;
step 420: performing characteristic equidirectional change evaluation on the same-parameter data of the classified and integrated data set based on the continuously-changing characteristic constraint time interval to obtain a characteristic equidirectional change evaluation result;
step 430: and when the characteristic equidirectional change evaluation result is equidirectional change data in the continuously-changed characteristic constraint time interval, taking the continuously-changed characteristic constraint time interval as a detection parameter fluctuation interval, and taking the detection parameters corresponding to the continuously-changed characteristic constraint time interval as fluctuation data information.
Specifically, a continuously changing characteristic constraint time interval is constructed, wherein the continuously changing characteristic constraint time interval generates a constraint time interval continuously changing in the same direction for a certain data, such as continuously increasing or continuously decreasing. And then, performing characteristic equidirectional change evaluation on the same-parameter data of the classified and integrated data set based on the continuously-changed characteristic constraint time interval, namely evaluating the duration of equidirectional change of the same-parameter data, namely the same-parameter data, in the classified and integrated data set to obtain a characteristic equidirectional change evaluation result. And when the characteristic equidirectional change evaluation result is equidirectional change data in the continuously-changed characteristic constraint time interval, taking the continuously-changed characteristic constraint time interval as a detection parameter fluctuation interval, wherein the detection parameter fluctuation interval is the detection time interval when the data fluctuate. And finally, taking the continuously-changed characteristic constraint time interval as a detection parameter fluctuation interval to acquire a detection parameter of corresponding data as fluctuation data information, namely, taking the continuously-changed characteristic constraint time interval as a detection period to detect the data to acquire the fluctuation information of the data.
Step 500: matching a correlation parameter set according to the fluctuation data information, performing correlation fluctuation evaluation on the correlation parameter set based on the classification integration data set, and obtaining a correlation fluctuation evaluation sequence ordering result;
step 600: performing fault type and grade evaluation on the basis of the associated fluctuation evaluation sequence sorting result and the fluctuation data information to obtain an evaluation result;
step 700: and displaying the fluctuation data information, the associated fluctuation evaluation sequence sorting result and the evaluation result through the display device.
Specifically, the association parameter set is matched according to the fluctuation data information, where the association parameter set is association data matched with the fluctuation data information, and the association data is data having a certain association relationship with the target data, such as time association, category association, and the like. And performing association fluctuation evaluation on the association parameter set based on the classification integration data set, evaluating data with obvious fluctuation in the association data, and sequencing the association fluctuation evaluation from large to small to obtain a sequential sequencing result. The relevance fluctuation evaluation is carried out on the classified and integrated data set, the relevance data are primarily screened, data with large fluctuation in the relevance data are screened, and due to the fact that the data with large fluctuation in the screened relevance data and the fluctuation data have relevance, accurate positioning or fuzzy positioning of hidden dangers or faults can be further carried out according to the relevance relation between the data with large fluctuation and the fluctuation data. And then, performing fault type and grade evaluation based on the associated fluctuation evaluation sequence sorting result and the fluctuation data information to obtain an evaluation result. And finally, displaying the fluctuation data information, the associated fluctuation evaluation sequence sorting result and the evaluation result through the display device. The monitoring and intelligent display of the real-time generated airborne data are realized, and the processing efficiency of operators is improved, so that the technical effect of flight safety is improved.
The method steps 600 provided by the embodiment of the present application further include:
step 610: constructing a parameter influence fault feature set;
step 620: carrying out data fluctuation characteristic evaluation on the fluctuation data information to obtain data parameters and a fluctuation characteristic evaluation result;
step 630: performing initial fault matching of the parameter influence fault feature set through the data parameters to obtain an initial fault matching result;
step 640: matching and screening the initial fault matching result according to the fluctuation characteristic evaluation result to obtain a fault matching and screening result;
step 650: and obtaining the evaluation result through the fault matching screening result.
Specifically, a parameter influence fault feature set is constructed, wherein when the parameter influence fault feature set is constructed, construction is carried out by acquiring corresponding abnormal parameters and abnormal parameter features generated by fault features. And then, performing data fluctuation characteristic evaluation on the fluctuation data information, namely performing data fluctuation type evaluation on the fluctuation data information, and performing evaluation according to the fluctuation characteristics of the fluctuation data during the fluctuation characteristic evaluation, wherein a corresponding relation database between the fluctuation characteristics and the fluctuation types can be constructed before the fluctuation characteristic evaluation is performed, and the data fluctuation characteristic evaluation is completed according to the fluctuation types corresponding to the fluctuation characteristics acquired by the database, so that data parameters and fluctuation characteristic evaluation results, namely specific data parameters and fluctuation types are acquired. And carrying out initial fault matching on the parameter influence fault feature set through the data parameters to obtain an initial fault matching result. And then further screening the initial fault matching result according to the fluctuation characteristic evaluation result and the parameter influence fault characteristic set, screening the fault characteristics which most accord with the fluctuation characteristic evaluation result, and obtaining a fault matching screening result according to the obtained screening result. And obtaining an evaluation result according to the obtained fault matching screening result, and finishing the evaluation of the fault.
The method steps 600 provided by the embodiment of the present application further include:
step 660: collecting fault historical data;
step 670: constructing a fault mapping feature set based on the fault historical data;
step 680: and performing fault early warning type and grade evaluation on the basis of the fault mapping feature set, the fault matching screening result and the associated fluctuation evaluation sequence sorting result to obtain the evaluation result.
Specifically, fault history data, that is, other associated parameter feature data generated when the fault occurs, are collected, and a fault mapping feature set, that is, a fault type and a fault level, and the obtained other associated parameter feature data generated when the fault occurs are constructed according to the fault history data, so as to construct the fault mapping feature set. And then, performing fault early warning type and grade evaluation on the correlation fluctuation evaluation sequence sorting result and the fault matching screening result based on the fault mapping feature set, and acquiring the correlation fluctuation evaluation sequence sorting result and the fault early warning type and grade under the fault matching screening result to obtain the evaluation result. The acquisition of the fault early warning type and grade according to the correlation fluctuation evaluation sequence sorting result and the fault matching screening result is realized.
As shown in fig. 3, the method steps 500 provided in the embodiment of the present application further include:
step 510: obtaining a data association time interval according to the fluctuation data information, and taking the data association time interval as a time constraint parameter;
step 520: constructing a fluctuation data constraint threshold value based on the fluctuation data information;
step 530: and performing associated parameter matching of the classified and integrated data set based on the time constraint parameter and the fluctuation data constraint threshold to obtain the associated parameter set.
Specifically, a data association time interval is obtained through the fluctuation data information, wherein the data association time interval is a time interval of fluctuation generation or a time interval before and after the fluctuation generation. And taking the data association time interval as a time constraint parameter, and taking the association time interval as a constraint to avoid acquiring association data irrelevant to the fluctuation data. Then, a fluctuation data constraint threshold is constructed according to the fluctuation data information, wherein the fluctuation data constraint threshold is a fluctuation threshold of the associated data within the time constraint parameter. And finally, performing associated parameter matching of the classified and integrated data set based on the time constraint parameter and the fluctuation data constraint threshold, matching associated parameters of the same category in the classified and integrated data set and meeting the data constraint threshold in the time constraint parameter, and acquiring an associated parameter set. The acquisition of the data associated with the fluctuation data is realized by acquiring the associated parameter set, and data support is provided for acquiring the evaluation result.
The method steps 600 provided by the embodiment of the present application further include:
step 601: obtaining fault information according to the evaluation result, wherein the fault information comprises an initial fault value parameter;
step 602: obtaining a fault grade corresponding to the fault information based on the evaluation result;
step 603: calculating fault early warning values of all faults in fault information based on the initial fault value parameters and the fault grades, and obtaining a fault early warning value sequence ordering result based on a calculation result;
step 604: and displaying fault early warning information according to the fault early warning value sequence sorting result.
Specifically, fault information is obtained according to the evaluation result, wherein the fault information comprises an initial fault value parameter, and a fault grade corresponding to the fault information is obtained according to the evaluation result. And then, calculating the fault early warning value of each fault in the fault information based on the initial fault value parameter and the fault grade, namely judging whether the fault information can generate other types of faults or not according to the initial fault value parameter and the fault grade. When the fault early warning value is calculated, the influence parameters between the initial fault value parameter and other faults can be obtained according to the initial fault value parameter value, wherein the influence parameters between the initial fault value parameter and other faults can be obtained according to a preset corresponding proportion, and if the preset initial fault value parameter is A, the corresponding fixed influence parameter is B. And then, performing product calculation according to the influence parameters between the fault grade and other faults to obtain a calculation result. And obtaining a fault early warning value sequence sorting result based on the calculation result, displaying fault early warning information according to the fault early warning value sequence sorting result, and displaying the fault early warning information reaching a certain threshold value in the sequence sorting result. And early warning on other faults according to the evaluation result is realized.
The method steps 700 provided by the embodiment of the present application further include:
step 710: setting early warning processing time, and judging whether to perform early warning information display processing within the early warning processing time;
step 720: when the display early warning information is not processed within the early warning processing time, generating early warning reminding information;
step 730: and carrying out early warning unprocessed reminding based on the early warning reminding information.
Specifically, the early warning processing time is set, wherein the early warning processing time is constraint time for processing early warning information, whether the early warning information is processed within the early warning processing time is judged, and the early warning information is displayed for processing. And when the display early warning information is not processed within the early warning processing time, indicating that the operator does not process the early warning information, and generating early warning reminding information. And finally, performing early warning unprocessed reminding based on the early warning reminding information. The judgment of whether the early warning information is processed or not is realized, and unprocessed reminding is carried out on the unprocessed early warning information.
To sum up, the method provided by the embodiment of the application acquires airborne data and performs data preprocessing to obtain a processed data set. And carrying out category classification on the processed data set to obtain a classified and integrated data set. And carrying out fluctuation analysis on the classified and integrated data set to obtain fluctuation data information with obvious fluctuation data. And matching the associated parameter sets according to the fluctuation data information, merging, performing associated fluctuation evaluation, and sequencing evaluation results to obtain data with large fluctuation in the associated data. And performing fault type and grade evaluation according to the associated fluctuation evaluation sequence ordering and the fluctuation data information to obtain an evaluation result. And displaying the fluctuation data information, the associated fluctuation evaluation sequence sequencing result and the evaluation result through a display device. The monitoring and intelligent display of real-time generated airborne data are realized, and the processing efficiency of operators is improved, so that the technical effect of flight safety is improved. . The problem of lack of intelligent machine carries data real-time display method among the prior art, lead to operating personnel to need expend a large amount of efforts to handle the operational data that produces, cause flight safety to reduce is solved.
Example two
Based on the same inventive concept as the onboard data identifier real-time display method for monitoring and reminding in the foregoing embodiment, as shown in fig. 4, the present application provides an onboard data identifier real-time display system for monitoring and reminding, the system is in communication connection with a display device and a data acquisition device, and the system includes:
the data acquisition module 11 is used for acquiring airborne data through the data acquisition device to obtain an airborne data set with time identification;
a processed data set acquisition module 12, configured to perform data preprocessing on the airborne data to obtain a processed data set;
a classified integrated data set obtaining module 13, configured to perform data classification on the processed data set to obtain a classified integrated data set;
the fluctuation data information acquisition module 14 is configured to perform fluctuation analysis based on the classified and integrated data set to obtain fluctuation data information;
the association fluctuation evaluation module 15 is configured to match an association parameter set according to the fluctuation data information, perform association fluctuation evaluation on the association parameter set based on the classification integration data set, and obtain an association fluctuation evaluation sequence ordering result;
the evaluation result acquisition module 16 is configured to perform fault type and level evaluation based on the associated fluctuation evaluation order sorting result and the fluctuation data information to obtain an evaluation result;
and the data display module 17 is configured to display the fluctuation data information, the associated fluctuation evaluation order sorting result, and the evaluation result through the display device.
Further, the fluctuation data information obtaining module 14 is further configured to:
constructing a continuously changing characteristic constraint time interval;
performing characteristic equidirectional change evaluation on the same-parameter data of the classified and integrated data set based on the continuously-changing characteristic constraint time interval to obtain a characteristic equidirectional change evaluation result;
and when the characteristic equidirectional change evaluation result is equidirectional change data in the continuously-changed characteristic constraint time interval, taking the continuously-changed characteristic constraint time interval as a detection parameter fluctuation interval, and taking the detection parameters corresponding to the continuously-changed characteristic constraint time interval as fluctuation data information.
Further, the evaluation result obtaining module 16 is further configured to:
constructing a parameter influence fault feature set;
performing data fluctuation characteristic evaluation on the fluctuation data information to obtain data parameters and fluctuation characteristic evaluation results;
performing initial fault matching of the parameter influence fault feature set through the data parameters to obtain an initial fault matching result;
matching and screening the initial fault matching result according to the fluctuation characteristic evaluation result to obtain a fault matching and screening result;
and obtaining the evaluation result through the fault matching screening result.
Further, the evaluation result obtaining module 16 is further configured to:
collecting fault historical data;
constructing a fault mapping feature set based on the fault historical data;
and evaluating the type and the grade of the fault early warning based on the fault mapping feature set, the fault matching screening result and the associated fluctuation evaluation sequence sorting result to obtain the evaluation result.
Further, the association fluctuation evaluation module 15 is further configured to:
obtaining a data association time interval according to the fluctuation data information, and taking the data association time interval as a time constraint parameter;
constructing a fluctuation data constraint threshold value based on the fluctuation data information;
and performing associated parameter matching of the classified and integrated data set based on the time constraint parameter and the fluctuation data constraint threshold to obtain the associated parameter set.
Further, the evaluation result obtaining module 16 is further configured to:
obtaining fault information according to the evaluation result, wherein the fault information comprises an initial fault value parameter;
obtaining a fault grade corresponding to the fault information based on the evaluation result;
calculating fault early warning values of all faults in fault information based on the initial fault value parameters and the fault grades, and obtaining a fault early warning value sequence ordering result based on a calculation result;
and displaying fault early warning information according to the fault early warning value sequence sorting result.
Further, the data display module 17 is further configured to:
setting early warning processing time, and judging whether to perform early warning information display processing within the early warning processing time;
when the display early warning information is not processed within the early warning processing time, generating early warning reminding information;
and carrying out early warning unprocessed reminding based on the early warning reminding information.
The second embodiment is used for executing the method as in the first embodiment, and both the execution principle and the execution basis can be obtained through the content recorded in the first embodiment, which is not described herein again. Although the present application has been described in connection with particular features and embodiments thereof, the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, those skilled in the art can make various changes and modifications to the present application without departing from the scope of the present application, and the content thus obtained also falls within the scope of protection of the present application.
Claims (8)
1. A real-time airborne data identification display method for monitoring and reminding is characterized in that the method is applied to a reminding control system, the reminding control system is in communication connection with a display device and a data acquisition device, and the method comprises the following steps:
acquiring airborne data through the data acquisition device to obtain an airborne data set with a time identifier;
carrying out data preprocessing on the airborne data to obtain a processed data set;
carrying out data classification on the processing data set to obtain a classified integration data set;
performing fluctuation analysis based on the classified and integrated data set to obtain fluctuation data information;
matching a correlation parameter set according to the fluctuation data information, performing correlation fluctuation evaluation on the correlation parameter set based on the classification integration data set, and obtaining a correlation fluctuation evaluation sequence ordering result;
performing fault type and grade evaluation on the basis of the associated fluctuation evaluation sequence sorting result and the fluctuation data information to obtain an evaluation result;
and displaying the fluctuation data information, the associated fluctuation evaluation sequence sorting result and the evaluation result through the display device.
2. The method of claim 1, wherein performing a wave analysis based on the categorized consolidated data set further comprises:
constructing a continuously changing characteristic constraint time interval;
performing characteristic equidirectional change evaluation on the same-parameter data of the classified and integrated data set based on the continuously-changing characteristic constraint time interval to obtain a characteristic equidirectional change evaluation result;
and when the characteristic equidirectional change evaluation result is equidirectional change data in the continuously-changed characteristic constraint time interval, taking the continuously-changed characteristic constraint time interval as a detection parameter fluctuation interval, and taking the detection parameters corresponding to the continuously-changed characteristic constraint time interval as fluctuation data information.
3. The method of claim 1, wherein the method further comprises:
constructing a parameter influence fault feature set;
carrying out data fluctuation characteristic evaluation on the fluctuation data information to obtain data parameters and a fluctuation characteristic evaluation result;
performing initial fault matching of the parameter influence fault feature set through the data parameters to obtain an initial fault matching result;
matching and screening the initial fault matching result according to the fluctuation characteristic evaluation result to obtain a fault matching and screening result;
and obtaining the evaluation result through the fault matching screening result.
4. The method of claim 3, wherein the method further comprises:
collecting fault historical data;
constructing a fault mapping feature set based on the fault historical data;
and evaluating the type and the grade of the fault early warning based on the fault mapping feature set, the fault matching screening result and the associated fluctuation evaluation sequence sorting result to obtain the evaluation result.
5. The method of claim 1, wherein the method further comprises:
obtaining a data association time interval according to the fluctuation data information, and taking the data association time interval as a time constraint parameter;
constructing a fluctuation data constraint threshold value based on the fluctuation data information;
and performing associated parameter matching of the classified and integrated data set based on the time constraint parameter and the fluctuation data constraint threshold to obtain the associated parameter set.
6. The method of claim 1, wherein the method further comprises:
obtaining fault information according to the evaluation result, wherein the fault information comprises an initial fault value parameter;
obtaining a fault grade corresponding to the fault information based on the evaluation result;
calculating fault early warning values of all faults in fault information based on the initial fault value parameters and the fault grades, and obtaining a fault early warning value sequence ordering result based on a calculation result;
and displaying fault early warning information according to the fault early warning value sequence sorting result.
7. The method of claim 1, wherein the method further comprises:
setting early warning processing time, and judging whether to perform early warning information display processing within the early warning processing time;
when the display early warning information is not processed within the early warning processing time, generating early warning reminding information;
and carrying out early warning unprocessed reminding based on the early warning reminding information.
8. The utility model provides a real-time display system of machine carried data sign for monitoring warning which characterized in that, the system and display device, data acquisition device communication connection, the system includes:
the data acquisition module is used for acquiring airborne data through the data acquisition device to obtain an airborne data set with a time identifier;
the processing data set acquisition module is used for carrying out data preprocessing on the airborne data to obtain a processing data set;
the classified and integrated data set acquisition module is used for carrying out data classification on the processed data set to obtain a classified and integrated data set;
the fluctuation data information acquisition module is used for carrying out fluctuation analysis based on the classified integration data set to obtain fluctuation data information;
the association fluctuation evaluation module is used for matching an association parameter set according to the fluctuation data information, carrying out association fluctuation evaluation on the association parameter set based on the classification integration data set and obtaining an association fluctuation evaluation sequence ordering result;
the evaluation result acquisition module is used for carrying out fault type and grade evaluation on the basis of the associated fluctuation evaluation sequence sorting result and the fluctuation data information to obtain an evaluation result;
and the data display module is used for displaying the fluctuation data information, the associated fluctuation evaluation sequence sorting result and the evaluation result through the display device.
Priority Applications (1)
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| CN115559890A (en) * | 2022-11-04 | 2023-01-03 | 江苏省水利科学研究院 | Water pump unit operation fault prediction and adjustment method and system |
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| CN109615273A (en) * | 2019-01-16 | 2019-04-12 | 国网浙江省电力有限公司电力科学研究院 | A kind of electric car electrically-charging equipment method for evaluating state and system |
| CN112487048A (en) * | 2020-10-28 | 2021-03-12 | 清华大学 | Correlation analysis method and device based on time series abnormal fluctuation |
| CN112732687A (en) * | 2020-12-29 | 2021-04-30 | 中国民用航空飞行学院 | Aviation flight data visualization processing system and analysis method based on data cleaning |
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| CN109615273A (en) * | 2019-01-16 | 2019-04-12 | 国网浙江省电力有限公司电力科学研究院 | A kind of electric car electrically-charging equipment method for evaluating state and system |
| CN112487048A (en) * | 2020-10-28 | 2021-03-12 | 清华大学 | Correlation analysis method and device based on time series abnormal fluctuation |
| CN112732687A (en) * | 2020-12-29 | 2021-04-30 | 中国民用航空飞行学院 | Aviation flight data visualization processing system and analysis method based on data cleaning |
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| CN115559890A (en) * | 2022-11-04 | 2023-01-03 | 江苏省水利科学研究院 | Water pump unit operation fault prediction and adjustment method and system |
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