CN117908522B - Fault positioning method for initiating and controlling equipment based on simulation analysis - Google Patents
Fault positioning method for initiating and controlling equipment based on simulation analysis Download PDFInfo
- Publication number
- CN117908522B CN117908522B CN202410305083.9A CN202410305083A CN117908522B CN 117908522 B CN117908522 B CN 117908522B CN 202410305083 A CN202410305083 A CN 202410305083A CN 117908522 B CN117908522 B CN 117908522B
- Authority
- CN
- China
- Prior art keywords
- equipment
- signal
- test
- result
- abnormality
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000000977 initiatory effect Effects 0.000 title claims abstract description 90
- 238000004458 analytical method Methods 0.000 title claims abstract description 71
- 238000004088 simulation Methods 0.000 title claims abstract description 42
- 238000000034 method Methods 0.000 title claims abstract description 41
- 238000012360 testing method Methods 0.000 claims abstract description 172
- 230000005856 abnormality Effects 0.000 claims abstract description 129
- 238000004891 communication Methods 0.000 claims abstract description 50
- 238000001514 detection method Methods 0.000 claims abstract description 42
- 230000002159 abnormal effect Effects 0.000 claims abstract description 16
- 238000011156 evaluation Methods 0.000 claims description 40
- 230000004044 response Effects 0.000 claims description 38
- 230000007246 mechanism Effects 0.000 claims description 23
- 230000011218 segmentation Effects 0.000 claims description 15
- 238000007781 pre-processing Methods 0.000 claims description 12
- 238000004364 calculation method Methods 0.000 claims description 10
- 238000012545 processing Methods 0.000 claims description 9
- 238000011077 uniformity evaluation Methods 0.000 claims description 4
- 230000000694 effects Effects 0.000 abstract description 6
- 238000012544 monitoring process Methods 0.000 abstract description 3
- 239000010410 layer Substances 0.000 description 39
- 238000012986 modification Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 3
- 238000011835 investigation Methods 0.000 description 3
- 238000010801 machine learning Methods 0.000 description 3
- 238000013210 evaluation model Methods 0.000 description 2
- 239000003999 initiator Substances 0.000 description 2
- 230000004807 localization Effects 0.000 description 2
- 238000003062 neural network model Methods 0.000 description 2
- 230000003213 activating effect Effects 0.000 description 1
- 230000003321 amplification Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000011990 functional testing Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 239000002346 layers by function Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000003199 nucleic acid amplification method Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
- G05B23/0267—Fault communication, e.g. human machine interface [HMI]
- G05B23/027—Alarm generation, e.g. communication protocol; Forms of alarm
Landscapes
- Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Testing Electric Properties And Detecting Electric Faults (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The application provides a fault positioning method of a launch control device based on simulation analysis, which relates to the technical field of fault monitoring, and comprises the following steps: reading equipment model data of the initiating and controlling equipment; generating a test analog signal, and performing equipment test of the initiating and controlling equipment; recording an output signal of the initiating and controlling equipment by using a load module; feeding back the output signal recording result to a main control module, and analyzing the simulation result by using a signal analysis model preset by the main control module to generate a first signal abnormality; and carrying out communication detection on the simulated control equipment through a communication detection module, generating a second signal abnormality, and completing fault positioning of the control equipment through the first signal abnormality and the second signal abnormality. The application can solve the technical problems of easy false alarm and missing alarm and lower accuracy rate of fault location caused by lack of analog analysis of abnormal signals in the prior art, and achieves the technical effects of improving the accuracy and reliability of fault location.
Description
Technical Field
The application relates to the technical field of fault monitoring, in particular to a fault positioning method of a trigger control device based on simulation analysis.
Background
Fault localization techniques refer to determining a specific location or cause of a device fault through a series of diagnostic means and methods. The fault positioning diagnosis has important significance for the operation of the control equipment, various faults are easy to occur along with the change of the operation time of the control equipment, and the faults can influence the accurate operation of the control equipment, so that the operation result is deviated from the normal threshold value.
At present, most of the existing fault positioning methods are used for analyzing and identifying by combining current operation data of equipment and fault data in history, setting up a threshold value for early warning, lacking simulation analysis of abnormal signals, and improving the fault positioning accuracy.
In summary, in the prior art, due to the lack of analog analysis of abnormal signals, the fault location is easy to misreport and miss report, and the accuracy is low.
Disclosure of Invention
The application aims to provide a fault positioning method of a control equipment based on simulation analysis, which is used for solving the technical problems of easy false alarm and missing report and low accuracy of fault positioning caused by the lack of simulation analysis of abnormal signals in the prior art.
In view of the above problems, the present application provides a fault locating method for a control device based on simulation analysis.
In a first aspect, the present application provides a fault locating method for a control device based on simulation analysis, the method is implemented by a fault locating system for a control device based on simulation analysis, wherein the method includes: establishing equipment connection with a transmitting control device to be subjected to fault test, and reading equipment model data of the transmitting control device after establishing the equipment connection with the transmitting control device; the equipment model data is used as matching data, cloud test data matching is carried out through a main control module, a test analog signal is generated according to a test data matching result, and equipment testing of the initiating control equipment is carried out according to the test analog signal; recording an output signal of the initiating and controlling device by using a load module, wherein the output signal recording result has a time sequence identifier and comprises voltage and pulse width; feeding back the output signal recording result to the main control module, and analyzing the simulation result by using a signal analysis model preset by the main control module to generate a first signal abnormality; and carrying out communication detection on the simulated control equipment through a communication detection module, sending a communication detection result to the main control module, generating a second signal abnormality, and completing fault positioning of the control equipment through the first signal abnormality and the second signal abnormality.
In a second aspect, the present application further provides a fault locating system for a control device based on simulation analysis, for performing the fault locating method for a control device based on simulation analysis according to the first aspect, where the system includes: the equipment model data reading unit is used for establishing equipment connection with the initiating equipment, wherein the initiating equipment is transmitting control equipment to be subjected to fault test, and after establishing the connection with the initiating equipment, the equipment model data of the initiating equipment is read; the equipment testing unit is used for carrying out cloud test data matching through the main control module by taking the equipment model data as matching data, generating a test analog signal according to a test data matching result, and carrying out equipment testing of the initiating control equipment according to the test analog signal; the output signal recording unit is used for recording the output signal of the initiating and controlling equipment by using the load module, wherein the output signal recording result has a time sequence identifier and comprises voltage and pulse width; the simulation result analysis unit is used for feeding back the output signal recording result to the main control module, and performing simulation result analysis by using a signal analysis model preset by the main control module to generate a first signal abnormality; the fault locating unit is used for carrying out communication detection on the simulated control equipment through the communication detection module, sending a communication detection result to the main control module, generating a second signal abnormality, and completing fault locating of the control equipment through the first signal abnormality and the second signal abnormality.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
Establishing equipment connection with the initiating and controlling equipment, wherein the initiating and controlling equipment is transmitting and controlling equipment to be subjected to fault test, and reading equipment model data of the initiating and controlling equipment after establishing the connection with the initiating and controlling equipment; the equipment model data is used as matching data, cloud test data matching is carried out through a main control module, a test analog signal is generated according to a test data matching result, and equipment testing of the initiating and controlling equipment is carried out according to the test analog signal; the method comprises the steps of recording output signals of a trigger control device by a load module, wherein the output signal recording result has a time sequence identifier and comprises voltage and pulse width; feeding back the output signal recording result to a main control module, and analyzing the simulation result by using a signal analysis model preset by the main control module to generate a first signal abnormality; and carrying out communication detection on the simulated control equipment through the communication detection module, sending a communication detection result to the main control module, generating a second signal abnormality, and completing fault positioning of the control equipment through the first signal abnormality and the second signal abnormality. By testing the initiating and controlling equipment based on the test analog signals and detecting communication, abnormal signal positioning is achieved, fault positioning is further completed, and the technical effects of improving the accuracy and reliability of fault positioning are achieved.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent. It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the application or to delineate the scope of the application. Other features of the present application will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the application or the technical solutions of the prior art, the following brief description will be given of the drawings used in the description of the embodiments or the prior art, it being obvious that the drawings in the description below are only exemplary and that other drawings can be obtained from the drawings provided without the inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a fault locating method of a control device based on simulation analysis;
fig. 2 is a schematic structural diagram of a fault locating system of a control device based on simulation analysis.
Reference numerals illustrate: the device model data reading unit 11, the device testing unit 12, the output signal recording unit 13, the simulation result analysis unit 14, the fault locating unit 15.
Detailed Description
The application solves the technical problems of easy false alarm and missing alarm and lower accuracy of fault positioning caused by lack of analog analysis of abnormal signals in the prior art by providing the fault positioning method of the initiating and controlling equipment based on analog analysis. By testing the initiating and controlling equipment based on the test analog signals and detecting communication, abnormal signal positioning is achieved, fault positioning is further completed, and the technical effects of improving the accuracy and reliability of fault positioning are achieved.
In the following, the technical solutions of the present application will be clearly and completely described with reference to the accompanying drawings, and it should be understood that the described embodiments are only some embodiments of the present application, but not all embodiments of the present application, and that the present application is not limited by the exemplary embodiments described herein. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application. It should be further noted that, for convenience of description, only some, but not all of the drawings related to the present application are shown.
Example 1
Referring to fig. 1, the application provides a fault positioning method for a control device based on simulation analysis, wherein the method is applied to a fault positioning system for the control device based on simulation analysis, and specifically comprises the following steps:
Step one: establishing equipment connection with a transmitting control device to be subjected to fault test, and reading equipment model data of the transmitting control device after establishing the equipment connection with the transmitting control device;
Specifically, the communication protocol supported by the initiating device may be determined first, the supported communication protocol is selected, and the communication cable or adapter is connected to the communication interface of the initiating device, so that the device connection with the initiating device may be established. The initiating control device is a transmitting control device to be subjected to fault test, such as a wireless industrial remote controller and a transmitter in industry. After the connection with the initiating device is established, the device model data of the initiating device is read, an instruction is sent to the initiating device to control the initiating device to return the device model data, the device model data is usually returned in a specific format, such as a character string, the device model data usually refers to information which uniquely identifies a device model, and the information may include the manufacturer, serial number, model code, date of manufacture, specification parameters and the like of the initiating device.
Step two: the equipment model data is used as matching data, cloud test data matching is carried out through a main control module, a test analog signal is generated according to a test data matching result, and equipment testing of the initiating control equipment is carried out according to the test analog signal;
specifically, the read equipment model data is sent to a main control module as matching data, the main control module is a functional module for simulating the emission control process of the initiating and controlling equipment, the main control module is connected to a cloud database, the cloud database contains various equipment models and corresponding test data, the test data is data for performing fault test on the initiating and controlling equipment, such as operation parameters for performing functional test, specifically, the test data can comprise a series of parameter values, operation sequences, expected output results and the like, and the test data are preset by a person skilled in the art and then stored in the cloud database of the main control module, so that the test is convenient to call. Searching test data matched with the read equipment model data in the cloud database as a test data matching result.
And generating a corresponding test analog signal according to the test data matching result, wherein the test analog signal is an analog input signal used for simulating the operation condition in the actual working environment of the control equipment and activating the function corresponding to the test data matching result in the control equipment. And sending the generated test analog signals to the sending control equipment, receiving the test analog signals by the sending control equipment, executing corresponding operation or test according to the signals, and returning output signals corresponding to test results after the test is executed.
Step three: recording an output signal of the initiating and controlling device by using a load module, wherein the output signal recording result has a time sequence identifier and comprises voltage and pulse width;
Specifically, the load module is mainly used for simulating the equivalent resistance of the control equipment, the load module can perform signal scaling in a sampling and voltage dividing mode, test analog signals are filtered and then are converted into single-ended signals through single-ended differential operational amplification, the single-ended signals are output to the main control module through the connector, the main control module tests the control equipment based on the processed test analog signals, after the test is executed, output signals corresponding to test results are returned, meanwhile, the load module is used for recording the output signals of the control equipment, namely, the signals output after the test are recorded, the output signals are arranged according to time sequence, the obtained results are output signal recording results, the signal recording results have time sequence identifiers, and the output signal recording results comprise voltage signals and pulse width signals, namely, the signals output by the control equipment after the test comprise voltage signals and pulse width signals.
Step four: feeding back the output signal recording result to the main control module, and analyzing the simulation result by using a signal analysis model preset by the main control module to generate a first signal abnormality;
Specifically, the signal analysis model comprises a model preprocessing layer and a data processing layer, wherein the model preprocessing layer is used for carrying out data segmentation on the output signal recording result, namely, the output signal recording result comprises voltage and pulse, and data corresponding to the voltage and the pulse need to be separated, so that the data processing layer is used for carrying out anomaly analysis on the voltage data and the pulse width data, and the analysis result is integrated as a first signal anomaly. The model preprocessing layer and the data processing layer are both constructed based on the existing machine learning model, and the signal analysis model can be obtained through integration of the model preprocessing layer, the data processing layer and the data processing layer. If the signal analysis model detects that the output signal recording result has abnormality, such as voltage exceeding a normal range, pulse width abnormality and the like, the abnormality is marked, and abnormality identification information is generated as a first signal abnormality.
Step five: and carrying out communication detection on the simulated control equipment through a communication detection module, sending a communication detection result to the main control module, generating a second signal abnormality, and completing fault positioning of the control equipment through the first signal abnormality and the second signal abnormality.
Specifically, during the fault test of the initiator device, the communication detection is a step of ensuring whether normal communication is possible between components in the initiator device. The method for carrying out communication detection on the simulated control equipment through the communication detection module comprises the following steps: firstly, a communication detection module is used for sending a test signal or instruction to the simulated control equipment, then monitoring communication performance indexes of the control equipment, including indexes such as signal quality, transmission delay and error rate, and the like, which are specifically set by a person skilled in the art, it can be understood that the communication detection module comprises equipment or a system for sending the test signal or instruction, and indexes such as signal quality, transmission delay and error rate of a signal received by the control equipment, which are common technical means of the person skilled in the art, and are not repeated herein.
The communication detection module analyzes the collected communication performance indexes and compares the communication performance indexes with a preset communication performance threshold, wherein the preset communication performance threshold refers to indexes such as signal quality, transmission delay, error rate and the like in a normal communication state, the indexes are set by a person skilled in the art in combination with actual conditions, and if the communication performance indexes do not meet the preset communication performance threshold, identification information for identifying abnormal communication is generated as a second signal abnormality and fed back to the main control module.
The main control module receives the second signal abnormality, and performs comprehensive analysis by combining the first signal abnormality generated before, and performs fault location on the initiating control device, namely, locates the device corresponding to the first signal abnormality and the second signal abnormality as fault equipment.
Further, the fourth step of the present application further comprises:
The data segmentation of the output signal recording result is carried out through a preset network, wherein the preset network is a model preprocessing layer embedded in the signal analysis model; inputting voltage data in the data segmentation result into a voltage evaluation layer to generate a first comparison abnormality; inputting pulse width data in the data segmentation result into a pulse width evaluation layer to generate a second comparison abnormality, wherein the voltage evaluation layer and the pulse width evaluation layer are data processing layers of the signal analysis model; and outputting a first signal abnormality according to the first comparison abnormality and the second comparison abnormality.
The method for generating the first signal abnormality by analyzing the simulation result by using the signal analysis model preset by the main control module comprises the following steps: the model preprocessing layer is a functional layer for dividing voltage and pulse width, and can be constructed based on the existing machine learning model, such as a neural network model, specifically, a large number of output signal samples can be called by a person skilled in the art, the output signal samples are divided based on the prior art to obtain voltage data samples and pulse width data samples, the output signal samples are input into the model preprocessing layer, the output supervision adjustment is carried out on the model preprocessing layer by the corresponding voltage data samples and pulse width data samples, and the model preprocessing layer is trained to be converged. And taking the trained model preprocessing layer as the embedded signal analysis model of the preset network. And the output signal recording result is input into a preset network to carry out data segmentation, and the data segmentation result is output, wherein the data segmentation result comprises segmented voltage data and pulse width data.
The signal analysis model also includes a voltage evaluation layer and a pulse width evaluation layer. And inputting the voltage data in the data segmentation result into a voltage evaluation layer, wherein the voltage evaluation layer stores standard voltage data when the control equipment works normally, the voltage evaluation layer compares the standard voltage data with the voltage data to acquire the deviation of the standard voltage data and the voltage data, if the deviation exceeds a preset voltage deviation threshold, a first comparison abnormality of the identification voltage abnormality information is generated, and the preset voltage deviation threshold is a voltage deviation range allowed to exist for the control equipment to work normally and is set by a person skilled in the art in combination with actual demands.
The pulse width data in the data segmentation result is further input into a pulse width evaluation layer, the working principle of the pulse width evaluation layer is the same as that of the voltage evaluation layer, namely, standard pulse width data when the control equipment works normally are stored in the pulse width evaluation layer, the standard pulse width data and the pulse width data are compared through the pulse width evaluation layer, deviation of the standard pulse width data and the pulse width data is obtained, if the deviation exceeds a preset pulse width deviation threshold value, a second comparison abnormality for identifying pulse width abnormality information is generated, the preset pulse width deviation threshold value is a pulse width deviation range allowed to exist for the normal work of the control equipment, and the preset pulse width deviation threshold value is set by a person skilled in the art in combination with actual requirements. The voltage evaluation layer and the pulse width evaluation layer form a data processing layer of the signal analysis model.
Outputting a first signal abnormality according to the first comparison abnormality and the second comparison abnormality, that is, if voltage or pulse exists, outputting early warning information for identifying the test abnormality of the initiating control device as the first signal abnormality as long as the abnormality exists. Therefore, the abnormal test of the initiating and controlling equipment is realized, and support is provided for subsequent fault positioning.
Further, the fifth step of the present application further comprises:
Configuring a ground electrical detector and acquiring an imbedding environment of the initiating and controlling equipment; taking the placement environment and the test analog signal as matching characteristics, and executing equipment abnormality probability evaluation of the initiating control equipment; acquiring an equipment abnormality probability evaluation result, and generating a fault positioning attention mechanism according to the equipment abnormality probability evaluation result, the first signal abnormality and the second signal abnormality; and completing fault positioning of the initiating and controlling equipment through the fault positioning attention mechanism.
Specifically, the method for completing fault location of the initiating control device by using the first signal abnormality and the second signal abnormality comprises the following steps:
Firstly, a ground electric detector is configured, the ground electric detector is an existing tool for detecting and measuring the performance of electric equipment, parameters such as voltage, current, resistance, power factor and the like can be measured, the ground electric detector is used for detecting the control equipment, and a detection result is used as the placement environment of the control equipment, and the detection result comprises data such as voltage, current, resistance and the like. Taking the placement environment and the test analog signal as matching characteristics, and executing equipment abnormality probability evaluation of the initiating control equipment; specifically, an equipment anomaly probability evaluation model can be established according to historical data and expert experience, that is, a large number of matching feature samples and corresponding anomaly probability samples are collected by a person skilled in the art based on the prior art, and then model construction is performed based on the existing machine learning model, such as a neural network model, an expert system and the like, which is a common technical means for the person skilled in the art, and is not developed here. And inputting the matching characteristics into an equipment abnormality probability evaluation model to obtain equipment abnormality probability as an equipment abnormality probability evaluation result.
Generating a fault positioning attention mechanism according to the equipment abnormality probability evaluation result, the first signal abnormality and the second signal abnormality, wherein the fault positioning attention mechanism is used for setting different priorities for the initiating and controlling equipment, and preferentially conducting fault investigation on areas with higher priorities, thereby improving the efficiency and accuracy of fault positioning. Specifically, different priorities may be set for the components to which the device abnormality probability evaluation result, the first signal abnormality, and the second signal abnormality belong based on the device abnormality probability evaluation result, the abnormality degrees of the first signal abnormality, and the second signal abnormality, and the higher the abnormality degrees, the higher the priorities may be as a fault localization attention mechanism. For example, if the device abnormality probability evaluation result shows that the abnormality probability is higher, for example, greater than 80%, the priority of the placement environment is set to be the highest, and the placement environment is preferentially checked when fault location is performed. The priority setting threshold may be specifically set by those skilled in the art for the device abnormality probability evaluation result, the first signal abnormality, and the second signal abnormality, without limitation. And the fault location of the initiating and controlling equipment is completed through the fault location attention mechanism, so that the priority analysis of fault detection is realized, and the fault location accuracy and efficiency are improved.
Further, the application also comprises the following steps:
Performing signal analysis on the test analog signal to generate a test time sequence of continuous test; acquiring a response signal time sequence corresponding to continuous test in the output signal recording result; performing initial point time comparison through the test time sequence and the response signal time sequence to generate a first comparison result; performing response interval uniformity evaluation on the response signal time sequence to generate a second comparison result; and adding the first comparison result and the second comparison result to the first signal abnormality to update fault location.
Specifically, the test analog signal is analyzed, that is, the test analog signal is decomposed into test signals under a plurality of continuous time nodes according to a time sequence, and the time corresponding to the test signals is extracted and then sequentially arranged to be used as a test time sequence of continuous test. And further decomposing the signals in the output signal recording result according to the sequence of the continuous test to obtain the corresponding test time of the continuous test and sequentially arranging the test time, and taking the test time as a response signal time sequence. And performing initial point time comparison through the test time sequence and the response signal time sequence, namely comparing the time difference with the corresponding relation in the test time sequence and the response signal time sequence, in other words comparing the time difference between the analog test signal and the output signal, and taking the time difference as a first comparison result. And then, evaluating the uniformity of the response interval of the response signal time sequence, namely calculating the time difference between any two adjacent time points in the response signal time sequence to obtain a plurality of time differences, and performing uniformity analysis on the plurality of time differences, for example, calculating the variance or standard deviation of the plurality of time differences as a second comparison result, wherein in general, the plurality of time differences tend to be consistent, namely the variance is smaller, otherwise, the condition that the time difference of different response signals is overlarge and possibly abnormal exists is indicated. And finally, adding the first comparison result and the second comparison result to the first signal abnormality to supplement the first signal abnormality, and then completing fault location of the initiating control device based on the first signal abnormality and the second signal abnormality by adopting the fault location method so as to update the fault location and improve the fault location precision.
Further, the application also comprises the following steps:
determining a calibration interval based on the test time sequence; calculating a response mean value according to the response signal time sequence, and generating a third comparison result according to a difference value between the response mean value calculation result and the calibration interval; and adding a first comparison result, the second comparison result and the third comparison result to the first signal abnormality to update fault location.
Specifically, the time interval length between adjacent test times is extracted from the test time sequence, and average value calculation is performed, so that the calculation result is used as a calibration interval. And further performing response average calculation by using the response signal time sequence, namely calculating the time interval length between the response time in the response signal time sequence and the corresponding test time in the test time sequence, and performing average calculation to obtain a response average calculation result. And finally, calculating a difference value between the response mean value calculation result and the calibration interval as a third comparison result. Under normal conditions, the response mean value calculation result and the calibration interval should tend to be consistent, if the difference value is too large, it is indicated that the signal response of the initiating and controlling device is abnormal, the first comparison result, the second comparison result and the third comparison result are added to the first signal abnormality, the fault location of the initiating and controlling device is completed based on the first signal abnormality and the second signal abnormality by adopting the fault location method, so that the fault location is updated, and the fault location accuracy is improved.
Further, the application also comprises the following steps:
establishing a linkage test signal of the initiating and controlling equipment, and carrying out cooperative test of the initiating and controlling equipment by using the linkage test signal, wherein the cooperative test comprises a hysteresis signal cooperative test and an abnormal signal cooperative test; recording a cooperative test result, and generating equipment cooperative abnormality according to the cooperative test result; and carrying out auxiliary fault positioning on the initiating and controlling equipment according to the equipment cooperative abnormality.
Specifically, in addition to analyzing a single signal during fault testing of a controlled device, interoperability between devices needs to be considered. Therefore, the linkage test signal of the control equipment is established and the cooperative test is carried out, and particularly, the signals with association relations among all components or systems in the control equipment can be used as the linkage test signal by a person skilled in the art. And the coordinated test of the control equipment is carried out by the coordinated test signal, namely the coordinated test signal is used for testing the control equipment, all signal data in the coordinated test signal are collected at the same time, and then the communication delay and the asynchronous condition of all signal data are analyzed to obtain signals with signal delay and asynchronous, so that the coordinated test of the hysteresis signals is completed. And simultaneously, acquiring normal signals corresponding to the linkage test signals, comparing the normal signals with all signal data, acquiring signals with deviation larger than preset deviation from the normal signals, and completing abnormal signal cooperative test. Forming a cooperative test result by using signals with delayed signals and unsynchronized signals and signals with deviation larger than preset deviation from normal signals, and taking equipment and signal types corresponding to the signals in the cooperative test result as equipment cooperative abnormality;
And carrying out auxiliary fault positioning of the initiating and controlling equipment by using the equipment cooperative abnormality, namely detecting equipment and signal types in the equipment cooperative abnormality, so as to position faults and improve the comprehensiveness and accuracy of fault positioning.
Further, the application also comprises the following steps:
acquiring a fault positioning result, and establishing a sensitive mechanism for testing according to the fault positioning result; and matching the equipment characteristics of the sensitive mechanism and the fault initiating equipment to be detected, and completing fault detection based on the sensitive mechanism according to a matching result.
Specifically, the fault locating result refers to a fault locating result obtained after the fault locating of the initiating and controlling equipment is completed through the steps, wherein the fault locating result comprises fault types, the sensitive mechanism of the test refers to the unified detection of the initiating and controlling equipment with similar characteristics or belonging to the same batch, or the same fault type is subjected to the investigation according to the fault types in the fault locating result, so that batch fault investigation is realized, and the fault detection efficiency is improved. And matching the equipment characteristics of the to-be-detected control equipment with the equipment characteristics of the fault control equipment by using the sensitive mechanism, namely acquiring all to-be-detected control equipment, namely acquiring equipment characteristics of the to-be-detected control equipment, including characteristics of model, batch and the like, comparing the equipment characteristics of the to-be-detected control equipment with the equipment characteristics of the fault control equipment, wherein a matching result is that the to-be-detected control equipment with the equipment characteristics being consistent is the equipment characteristics being consistent with the fault control equipment, namely detecting the to-be-detected control equipment according to the fault type in the fault positioning result if the two characteristics are consistent, and completing fault detection based on the sensitive mechanism. The rapid positioning of faults is realized, and the fault detection efficiency is improved.
In summary, the fault positioning method for the initiating control device based on the simulation analysis provided by the application has the following technical effects:
Establishing equipment connection with the initiating and controlling equipment, wherein the initiating and controlling equipment is transmitting and controlling equipment to be subjected to fault test, and reading equipment model data of the initiating and controlling equipment after establishing the connection with the initiating and controlling equipment; the equipment model data is used as matching data, cloud test data matching is carried out through a main control module, a test analog signal is generated according to a test data matching result, and equipment testing of the initiating and controlling equipment is carried out according to the test analog signal; the method comprises the steps of recording output signals of a trigger control device by a load module, wherein the output signal recording result has a time sequence identifier and comprises voltage and pulse width; feeding back the output signal recording result to a main control module, and analyzing the simulation result by using a signal analysis model preset by the main control module to generate a first signal abnormality; and carrying out communication detection on the simulated control equipment through the communication detection module, sending a communication detection result to the main control module, generating a second signal abnormality, and completing fault positioning of the control equipment through the first signal abnormality and the second signal abnormality. By testing the initiating and controlling equipment based on the test analog signals and detecting communication, abnormal signal positioning is achieved, fault positioning is further completed, and the technical effects of improving the accuracy and reliability of fault positioning are achieved.
Example two
Based on the same inventive concept as the method for locating a fault of a control device based on simulation analysis in the foregoing embodiment, the present application further provides a system for locating a fault of a control device based on simulation analysis, referring to fig. 2, where the system includes:
The device model data reading unit 11 is used for establishing device connection with the initiating control device, wherein the initiating control device is an initiating control device to be subjected to fault test, and after the device connection with the initiating control device is established, the device model data of the initiating control device is read;
The device testing unit 12 is configured to perform cloud test data matching by using the device model data as matching data through a main control module, generate a test analog signal according to a test data matching result, and perform a device test of the initiating and controlling device according to the test analog signal;
An output signal recording unit 13, wherein the output signal recording unit 13 records an output signal of the trigger equipment by using a load module, the output signal recording result has a time sequence identifier, and the output signal recording result comprises voltage and pulse width;
the simulation result analysis unit 14, the simulation result analysis unit 14 is configured to feed back the output signal recording result to the main control module, perform simulation result analysis with a signal analysis model preset by the main control module, and generate a first signal anomaly;
the fault locating unit 15 is configured to perform communication detection on the simulated control equipment through the communication detection module, send a communication detection result to the main control module, generate a second signal abnormality, and perform fault location on the control equipment through the first signal abnormality and the second signal abnormality.
Further, the system further comprises an update fault location unit for:
Performing signal analysis on the test analog signal to generate a test time sequence of continuous test;
acquiring a response signal time sequence corresponding to continuous test in the output signal recording result;
Performing initial point time comparison through the test time sequence and the response signal time sequence to generate a first comparison result;
Performing response interval uniformity evaluation on the response signal time sequence to generate a second comparison result;
and adding the first comparison result and the second comparison result to the first signal abnormality to update fault location.
Further, the update failure location unit is further configured to:
determining a calibration interval based on the test time sequence;
Calculating a response mean value according to the response signal time sequence, and generating a third comparison result according to a difference value between the response mean value calculation result and the calibration interval;
and adding a first comparison result, the second comparison result and the third comparison result to the first signal abnormality to update fault location.
Further, the simulation result analysis unit 14 in the system is configured to:
The data segmentation of the output signal recording result is carried out through a preset network, wherein the preset network is a model preprocessing layer embedded in the signal analysis model;
inputting voltage data in the data segmentation result into a voltage evaluation layer to generate a first comparison abnormality;
inputting pulse width data in the data segmentation result into a pulse width evaluation layer to generate a second comparison abnormality, wherein the voltage evaluation layer and the pulse width evaluation layer are data processing layers of the signal analysis model;
and outputting a first signal abnormality according to the first comparison abnormality and the second comparison abnormality.
Further, the fault location unit 15 in the system is also configured to:
Configuring a ground electrical detector and acquiring an imbedding environment of the initiating and controlling equipment;
Taking the placement environment and the test analog signal as matching characteristics, and executing equipment abnormality probability evaluation of the initiating control equipment;
acquiring an equipment abnormality probability evaluation result, and generating a fault positioning attention mechanism according to the equipment abnormality probability evaluation result, the first signal abnormality and the second signal abnormality;
and completing fault positioning of the initiating and controlling equipment through the fault positioning attention mechanism.
Further, the system further comprises an auxiliary fault locating unit for:
Establishing a linkage test signal of the initiating and controlling equipment, and carrying out cooperative test of the initiating and controlling equipment by using the linkage test signal, wherein the cooperative test comprises a hysteresis signal cooperative test and an abnormal signal cooperative test;
Recording a cooperative test result, and generating equipment cooperative abnormality according to the cooperative test result;
and carrying out auxiliary fault positioning on the initiating and controlling equipment according to the equipment cooperative abnormality.
Further, the system further comprises a sensitive mechanism establishing unit for:
acquiring a fault positioning result, and establishing a sensitive mechanism for testing according to the fault positioning result;
and matching the equipment characteristics of the sensitive mechanism and the fault initiating equipment to be detected, and completing fault detection based on the sensitive mechanism according to a matching result.
In this description, each embodiment is described in a progressive manner, and each embodiment focuses on the difference from other embodiments, and the foregoing method and specific example for locating a fault of a control device based on a simulation analysis in the first embodiment of fig. 1 are equally applicable to the fault locating system of a control device based on a simulation analysis in this embodiment, and by the foregoing detailed description of the method for locating a fault of a control device based on a simulation analysis, those skilled in the art can clearly know that the fault locating system of a control device based on a simulation analysis in this embodiment is not described in detail herein for brevity of description. For the system disclosed in the embodiment, since the system corresponds to the method disclosed in the embodiment, the description is simpler, and the relevant points refer to the description of the method section.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and the equivalent techniques thereof, the present application is also intended to include such modifications and variations.
Claims (6)
1. The fault positioning method for the initiating and controlling equipment based on the simulation analysis is characterized by comprising the following steps of:
Establishing equipment connection with a transmitting control device to be subjected to fault test, and reading equipment model data of the transmitting control device after establishing the equipment connection with the transmitting control device;
The equipment model data is used as matching data, cloud test data matching is carried out through a main control module, a test analog signal is generated according to a test data matching result, and equipment testing of the initiating control equipment is carried out according to the test analog signal;
Recording an output signal of the initiating and controlling device by using a load module, wherein the output signal recording result has a time sequence identifier and comprises voltage and pulse width;
Feeding back the output signal recording result to the main control module, and analyzing the simulation result by using a signal analysis model preset by the main control module to generate a first signal abnormality;
The communication detection module is used for carrying out communication detection on the simulated control equipment, a communication detection result is sent to the main control module, a second signal abnormality is generated, and fault positioning of the control equipment is completed through the first signal abnormality and the second signal abnormality;
Performing signal analysis on the test analog signal to generate a test time sequence of continuous test;
acquiring a response signal time sequence corresponding to continuous test in the output signal recording result;
Performing initial point time comparison through the test time sequence and the response signal time sequence to generate a first comparison result;
performing response interval uniformity evaluation on the response signal time sequence to generate a second comparison result; the response interval uniformity evaluation is to calculate time differences between any two adjacent time points in the response signal time sequence to obtain a plurality of time differences, and perform uniformity analysis on the plurality of time differences;
Adding the first comparison result and the second comparison result to the first signal anomaly to update fault location;
determining a calibration interval based on the test time sequence;
Calculating a response mean value according to the response signal time sequence, and generating a third comparison result according to a difference value between the response mean value calculation result and the calibration interval;
and adding a first comparison result, the second comparison result and the third comparison result to the first signal abnormality to update fault location.
2. The method of claim 1, wherein the performing simulation result analysis with the signal analysis model preset by the main control module comprises:
The data segmentation of the output signal recording result is carried out through a preset network, wherein the preset network is a model preprocessing layer embedded in the signal analysis model;
inputting voltage data in the data segmentation result into a voltage evaluation layer to generate a first comparison abnormality;
inputting pulse width data in the data segmentation result into a pulse width evaluation layer to generate a second comparison abnormality, wherein the voltage evaluation layer and the pulse width evaluation layer are data processing layers of the signal analysis model;
and outputting a first signal abnormality according to the first comparison abnormality and the second comparison abnormality.
3. The method of claim 1, wherein the method comprises:
Configuring a ground electrical detector and acquiring an imbedding environment of the initiating and controlling equipment;
Taking the placement environment and the test analog signal as matching characteristics, and executing equipment abnormality probability evaluation of the initiating control equipment;
acquiring an equipment abnormality probability evaluation result, and generating a fault positioning attention mechanism according to the equipment abnormality probability evaluation result, the first signal abnormality and the second signal abnormality;
and completing fault positioning of the initiating and controlling equipment through the fault positioning attention mechanism.
4. The method of claim 1, wherein the method comprises:
Establishing a linkage test signal of the initiating and controlling equipment, and carrying out cooperative test of the initiating and controlling equipment by using the linkage test signal, wherein the cooperative test comprises a hysteresis signal cooperative test and an abnormal signal cooperative test;
Recording a cooperative test result, and generating equipment cooperative abnormality according to the cooperative test result;
and carrying out auxiliary fault positioning on the initiating and controlling equipment according to the equipment cooperative abnormality.
5. The method of claim 1, wherein the method comprises:
acquiring a fault positioning result, and establishing a sensitive mechanism for testing according to the fault positioning result;
and matching the equipment characteristics of the sensitive mechanism and the fault initiating equipment to be detected, and completing fault detection based on the sensitive mechanism according to a matching result.
6. A fault location system for a controlled device based on simulation analysis, characterized by the steps for implementing the method of any of claims 1 to 5, the system comprising:
the equipment model data reading unit is used for establishing equipment connection with the initiating equipment, wherein the initiating equipment is transmitting control equipment to be subjected to fault test, and after establishing the connection with the initiating equipment, the equipment model data of the initiating equipment is read;
the equipment testing unit is used for carrying out cloud test data matching through the main control module by taking the equipment model data as matching data, generating a test analog signal according to a test data matching result, and carrying out equipment testing of the initiating control equipment according to the test analog signal;
The output signal recording unit is used for recording the output signal of the initiating and controlling equipment by using the load module, wherein the output signal recording result has a time sequence identifier and comprises voltage and pulse width;
The simulation result analysis unit is used for feeding back the output signal recording result to the main control module, and performing simulation result analysis by using a signal analysis model preset by the main control module to generate a first signal abnormality;
The fault locating unit is used for carrying out communication detection on the simulated control equipment through the communication detection module, sending a communication detection result to the main control module, generating a second signal abnormality, and completing fault locating of the control equipment through the first signal abnormality and the second signal abnormality.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410305083.9A CN117908522B (en) | 2024-03-18 | 2024-03-18 | Fault positioning method for initiating and controlling equipment based on simulation analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410305083.9A CN117908522B (en) | 2024-03-18 | 2024-03-18 | Fault positioning method for initiating and controlling equipment based on simulation analysis |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117908522A CN117908522A (en) | 2024-04-19 |
| CN117908522B true CN117908522B (en) | 2024-06-07 |
Family
ID=90694053
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410305083.9A Active CN117908522B (en) | 2024-03-18 | 2024-03-18 | Fault positioning method for initiating and controlling equipment based on simulation analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117908522B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103400040A (en) * | 2013-07-31 | 2013-11-20 | 中国人民解放军国防科学技术大学 | Fault diagnosis and prediction method utilizing multistep time domain difference value learning |
| CN107678870A (en) * | 2017-08-23 | 2018-02-09 | 国网辽宁省电力有限公司 | A kind of improved method for diagnosing fault of power transformer |
| CN110873544A (en) * | 2018-09-03 | 2020-03-10 | 中国科学院长春光学精密机械与物理研究所 | Missile ground testing and launching control device based on CAN bus and working method |
| CN116449803A (en) * | 2023-04-21 | 2023-07-18 | 中国人民解放军32382部队 | Rocket gun multi-bullet type common-frame emission control time sequence detection system and method |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9760073B2 (en) * | 2010-05-21 | 2017-09-12 | Honeywell International Inc. | Technique and tool for efficient testing of controllers in development |
| CN105739328A (en) * | 2014-12-09 | 2016-07-06 | 上海机电工程研究所 | Launch control platform software generalization realization method |
-
2024
- 2024-03-18 CN CN202410305083.9A patent/CN117908522B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103400040A (en) * | 2013-07-31 | 2013-11-20 | 中国人民解放军国防科学技术大学 | Fault diagnosis and prediction method utilizing multistep time domain difference value learning |
| CN107678870A (en) * | 2017-08-23 | 2018-02-09 | 国网辽宁省电力有限公司 | A kind of improved method for diagnosing fault of power transformer |
| CN110873544A (en) * | 2018-09-03 | 2020-03-10 | 中国科学院长春光学精密机械与物理研究所 | Missile ground testing and launching control device based on CAN bus and working method |
| CN116449803A (en) * | 2023-04-21 | 2023-07-18 | 中国人民解放军32382部队 | Rocket gun multi-bullet type common-frame emission control time sequence detection system and method |
Non-Patent Citations (2)
| Title |
|---|
| 某型火箭炮发控时序智能检测***的设计;邢立新;温必腾;;四川兵工学报;20110325(03);1-3 * |
| 邢立新 ; 温必腾 ; .某型火箭炮发控时序智能检测***的设计.四川兵工学报.2011,(03),1-3. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117908522A (en) | 2024-04-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN116204842B (en) | Abnormality monitoring method and system for electrical equipment | |
| CN102265227A (en) | Method and apparatus for creating state estimation models in machine condition monitoring | |
| CN114460439A (en) | Digital integrated circuit test system | |
| CN117633479B (en) | Method and system for analyzing and processing faults of charging piles | |
| CN114895163A (en) | Cable inspection positioning device and method based on cable insulation performance | |
| CN117171366B (en) | Knowledge graph construction method and system for power grid dispatching operation situation | |
| CN112329341B (en) | Fault diagnosis system and method based on AR and random forest model | |
| CN117908522B (en) | Fault positioning method for initiating and controlling equipment based on simulation analysis | |
| CN116520068B (en) | Diagnostic method, device, equipment and storage medium for electric power data | |
| JP3885537B2 (en) | Printed circuit board failure determination method and printed circuit board failure determination device | |
| CN112528227A (en) | Sensor abnormal data identification method based on mathematical statistics | |
| CN115034094B (en) | Prediction method and system for operation state of metal processing machine tool | |
| CN116611670A (en) | Fault diagnosis method and system for semiconductor device manufacturing production line | |
| CN116186976A (en) | Verification method and verification system for accuracy of data collected by equipment platform sensor | |
| CN114707413A (en) | Wafer test detection method based on long-short term memory network and sliding window | |
| CN111930081A (en) | Method and device for monitoring AGV state, edge device and storage medium | |
| CN117055537B (en) | Motorcycle electric control system fault diagnosis method based on Internet of things | |
| CN114205259B (en) | Gateway upper number abnormity diagnosis method and device | |
| CN111980900B (en) | Water pump fault diagnosis method based on multi-source data fusion analysis | |
| CN117763457B (en) | Chip test data management system and method based on big data analysis | |
| CN117793579B (en) | Metering equipment remote monitoring management method and system based on Internet of things | |
| CN117686757B (en) | Intelligent early warning method and system for outdoor power metering box | |
| CN116342110B (en) | Intelligent fault diagnosis and fault tolerance measurement method for multiple temperature measurement loops of train | |
| CN116643170B (en) | Motor shafting vibration testing method and device and computer equipment | |
| CN116559535B (en) | Insulation monitoring equipment for direct-current charging pile |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant |