CN113381874B - Fault signal processing method, storage medium and terminal - Google Patents
Fault signal processing method, storage medium and terminal Download PDFInfo
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- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
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Abstract
The embodiment of the invention discloses a fault signal processing method, a storage medium and a terminal. The fault signal processing method of the invention comprises the following steps: s1, acquiring a time sequence fault code and a fault code pool, wherein the fault code pool comprises a plurality of fault codes; s2, determining a fault code to be filtered according to the time sequence fault code and the fault code pool; s3, acquiring a false alarm filtering rule; s4, generating a fault processing result according to the fault code to be filtered and the false alarm filtering rule. The fault signal processing method improves the reliability of fault alarm, reduces the generation amount of false fault signals and the workload of a user for analyzing the fault signals, and is beneficial to the user to effectively remove the faults.
Description
Technical Field
The embodiment of the invention relates to the field of computer algorithms, in particular to a fault signal processing method, a storage medium and a terminal.
Background
In the fields of high-speed rail, motor cars and aviation, a plurality of sensors are arranged for monitoring the running state of complex equipment, and whether the equipment works normally is judged according to data measured by the sensors. And the data measured by the sensor in time sequence is so-called time series data. The time sequence data obtained by the measurement of the sensor is utilized, the running state of the equipment is judged according to a certain logic by combining the state parameters of the equipment in normal operation, and a fault signal is reported, so that relevant staff can take countermeasures in time.
However, due to the limitations of the accuracy and reliability of the sensor itself and the influence of time and environmental condition changes, various false fault alarm signals are easy to generate, so that the reliability of fault alarm is low, and the fault signals containing the false fault alarm signals are difficult to analyze and solve by technicians.
Disclosure of Invention
The embodiment of the invention aims to provide a fault signal processing method, a storage medium and a terminal, which can effectively improve the reliability of fault alarm and provide a direction for user analysis and fault removal.
The embodiment of the invention provides a fault signal processing method, which comprises the following steps:
s1, acquiring a time sequence fault code and a fault code pool, wherein the fault code pool comprises a plurality of fault codes;
s2, determining a fault code to be filtered according to the time sequence fault code and the fault code pool;
s3, acquiring a false alarm filtering rule;
s4, generating a fault processing result according to the fault code to be filtered and the false alarm filtering rule.
In the technical proposal of the method, the device,
by adopting the technical scheme, the false fault codes can be screened and diagnosed by introducing the fault code pool and the false alarm filtering rule, so that the reliability of fault alarm is improved, the burden of a computer is reduced, and the utilization rate of computer resources is improved.
In a possible solution, the false alarm filtering rule in step S3 includes an ambient condition false alarm filtering rule, and step S4 includes the following steps:
s410, acquiring actual environment working condition information according to the fault code to be filtered;
s411, acquiring preset environment working condition information corresponding to a fault code to be filtered;
s412, if the actual environment working condition information does not accord with the preset environment working condition information, generating a fault processing result: and not outputting the fault code to be filtered.
By adopting the technical scheme, false alarms caused by environmental working condition changes can be effectively filtered, and the accuracy of fault alarms is improved.
In one possible implementation, the false alarm filtering rule in step S3 includes a sensor abnormal false alarm filtering rule, and step S4 includes the following steps:
s420, according to the fault code to be filtered, acquiring a working parameter value of a component corresponding to the fault code to be filtered;
s421, acquiring a preset normal limit value of the working parameter value;
s422, if the working parameter value does not accord with the preset normal limit value, generating a fault processing result: and not outputting the fault code to be filtered.
By adopting the technical scheme, the false alarm caused by the abnormality of the sensor can be effectively solved, and the reliability of fault alarm is improved.
In one possible implementation, the false alarm filtering rule in step S3 includes a false alarm fault false alarm filtering rule, and step S4 includes the following steps:
s430, acquiring a father node of the fault node according to the fault code to be filtered;
s431, detecting the occurrence times of fault signals of the father node in a first preset time;
s432, if the occurrence frequency of the fault signal of the father node is zero, generating a fault processing result: and not outputting the fault code to be filtered.
By adopting the technical scheme, whether the father node fails or not can be utilized to verify the authenticity of the child node failure alarm, and the aim of improving the alarm possibility under the condition of not increasing the detection burden is fulfilled.
In one possible implementation, the false alarm filtering rule in step S3 includes an intermittent fault false alarm filtering rule, and step S4 includes the following steps:
s440, detecting whether a fault recovery signal is received, if yes, generating a fault processing result: the fault code to be filtered is not output; if not, executing the next step;
s441, acquiring an intermittent fault frequency threshold;
s442, detecting occurrence frequency of the fault codes to be filtered within a second preset time;
s443, if the occurrence frequency of the fault codes to be filtered is smaller than the intermittent fault frequency threshold value, generating a fault processing result: and not outputting the fault code to be filtered.
By adopting the technical scheme, the interference of intermittent fault false alarms can be effectively avoided, and the authenticity of fault early warning is improved.
In one possible implementation, the false alarm filtering rule in step S3 includes an associated fault false alarm filtering rule, and step S4 includes the following steps:
s450, acquiring a father node of the fault node according to the fault code to be filtered;
s451, detecting the occurrence times of the fault signals of the father node in a third preset time;
s452, if the occurrence frequency of the fault signal of the father node is not zero, generating a fault processing result: and outputting the associated fault code.
By adopting the technical scheme, false alarm filtering is carried out on the fault of the fault by utilizing the association relation among the fault nodes, and the false alarm interference caused by association fault can be reduced, so that the reliability of alarm is improved.
In one possible implementation, the false alarm filtering rule in step S3 includes a repeat fault false alarm filtering rule, and step S4 includes the steps of:
s460, acquiring the fault occurrence time and the repeated fault time threshold of the fault code to be filtered;
s461, generating a detection termination time according to the fault occurrence time and the repeated fault time threshold, wherein the detection termination time is positioned before the fault occurrence time, and the length of a time interval between the detection termination time and the time fault occurrence time is equal to the repeated fault time threshold;
s462, acquiring the occurrence times of the fault codes to be filtered between the detection termination time and the fault occurrence time;
s463, if the occurrence times of the fault codes to be filtered are equal to 0 times, generating a fault processing result: outputting the fault code to be filtered;
if the occurrence times of the fault codes to be filtered are greater than or equal to 1 time, generating a fault processing result: and not outputting the fault code to be filtered.
By adopting the technical scheme, repeated alarm can be effectively reduced, the processing capacity of alarm information is reduced, and the accuracy and reliability of alarm are improved.
In one possible solution, step S4 is further followed by:
s5, obtaining a supplementary fault code according to the time sequence fault code and the fault code pool.
S6, generating an updated fault code pool according to the supplementary fault codes and the fault code pool.
By adopting the technical scheme, the new fault codes which are not added into the fault code pool can be collected and added into the original fault code pool as the supplementary fault codes in time so as to form an updated fault code pool, thereby realizing the repair of the false alarm filtering loopholes and perfecting the fault signal processing method.
Embodiments of the present invention also provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements any one of the above-described fault signal processing methods.
The embodiment of the invention also provides a terminal device which comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor realizes any fault signal processing method when executing the computer program.
Based on the scheme, the invention improves the reliability of fault alarm by setting different false alarm filtering rules, such as false alarm signals caused by environmental working condition change, false alarm signals caused by repeated alarm and the like, reduces the generation amount of false fault signals and the workload of a user for analyzing the fault signals, and is beneficial to the user to effectively remove faults.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to the drawings without inventive effort to a person skilled in the art.
FIG. 1 is a flow chart of a fault signal processing method in an embodiment of the present invention;
fig. 2 is a comprehensive flowchart of a fault signal processing method in an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "axial", "radial", "circumferential", etc. indicate orientations or positional relationships based on the drawings are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention.
In the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," "secured," and the like are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally formed; the device can be mechanically connected, electrically connected and communicated; either directly, or indirectly, through intermediaries, may be in communication with each other, or may be in interaction with each other, unless explicitly defined otherwise. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to the specific circumstances.
The technical scheme of the invention is described in detail below by specific examples. The following embodiments may be combined with each other, and some embodiments may not be repeated for the same or similar concepts or processes.
Fig. 1 is a flowchart of a fault signal processing method in the present embodiment, and fig. 2 is a comprehensive flowchart of a fault signal processing method in the embodiment of the present invention.
As shown in fig. 1, the fault signal processing method of the present embodiment includes the steps of:
s1, acquiring time sequence fault codes and a fault code pool, wherein the fault code pool comprises a plurality of fault codes.
The time-series fault signal is a signal containing fault information obtained by a fault detection sensor or the like. Specifically, it may be a text file containing a failure type, a failure cause, a failure occurrence time, and the like.
It should be noted that the fault codes existing in the fault code pool are established by the user empirically by grouping together possible fault codes. The fault code pool does not include all fault codes nor codes representing particularly severe faults, and specific set-up rules may be determined by the user. One possible set up rule is: codes that represent severe faults will not be included that have occurred so far.
S2, determining a fault code to be filtered according to the time sequence fault code and the fault code pool.
It should be noted that the fault code pool includes a plurality of fault codes, and each fault code is consistent with corresponding fault information. The facility fault code pool is used for primarily screening the time sequence fault codes, so that the fault information is primarily filtered.
It should be noted that the time sequence fault code refers to a fault code containing time stamp information, and the fault code may be consistent with one of the fault codes in the fault code pool or may be different from the fault codes in the fault code pool.
It should be noted that if the time sequence fault code is different from the fault code in the fault code pool, the time sequence fault information can be determined as real fault information, and is output as the real fault code, and the subsequent false alarm filtering is not performed. If the time sequence fault code is consistent with one fault code in the fault code pool, the time sequence fault code is the fault code to be filtered, and the subsequent false alarm filtering is carried out.
As shown in fig. 2, this step S2 may be that the fault code shown in fig. 2 is not in the fault code pool, and thus the fault code is directly output. Likewise, within the dashed box in fig. 2, this process (preconditions are not met, are not within rule application scope, and thus output fault codes) and the implementation of the false alarm filtering rules.
S3, acquiring a false alarm filtering rule.
It should be noted that the false alarm filtering rule refers to a series of false alarm judgment standards and processing methods set for filtering false alarms.
S4, generating a fault processing result according to the fault code to be filtered and the false alarm filtering rule.
The function of step S4 is to filter the fault code to be filtered using a false alarm filtering rule. Specifically, corresponding parameter data is obtained according to the fault code to be filtered, and then the fault code to be filtered is judged by means of a corresponding false alarm filtering rule to determine whether the fault code to be filtered is a false alarm or not, and then a corresponding fault processing result is given.
The entire flow is described in detail with reference to fig. 2. As shown in fig. 2, when the device monitoring or detection system generates and issues a fault code, the fault code (with time information) is compared to a fault code pool, and if the fault code is not identical to any fault code in the fault code pool, the processing of the fault code is: the fault code is directly output. This is because, through the preliminary screening of the fault code pool, it can be determined that the fault code is not a false alarm, and subsequent false alarm filtering is unnecessary. If the fault code is consistent with any fault code in the fault code pool, then a false alarm filter is required for the fault code. Specifically, for different fault codes, filtering is performed according to different false alarm filtering rules, so that the filtering and processing of the false alarms are realized.
Through the technical scheme, the false fault codes can be screened and diagnosed by introducing the fault code pool and the false alarm filtering rule, so that the reliability of fault alarm is improved, the burden of a computer is reduced, and the utilization rate of computer resources is improved.
Optionally, in this embodiment, the false alarm filtering rule in step S3 includes an environmental condition false alarm filtering rule, and step S4 includes the following steps:
s410, acquiring actual environment working condition information according to the fault codes to be filtered.
Specifically, acquiring actual environmental condition information according to the fault code to be filtered refers to tracing to a fault node (such as equipment, components, etc.) where the fault occurs according to the fault code to be filtered, and then acquiring the actual environmental condition information of the fault node. The actual environment working condition information can be obtained by inquiring the working record of the fault node, and can also be obtained by a detection or monitoring system.
S411, acquiring preset environment working condition information corresponding to the fault codes to be filtered.
The preset environmental condition information refers to environmental condition information that the fault node in S410 can work normally.
S412, if the actual environment working condition information does not accord with the preset environment working condition information, generating a fault processing result: and not outputting the fault code to be filtered.
The purpose of this step is that if the actual environmental conditions do not match the preset environmental conditions, the reason for the failure is that the actual environmental conditions do not match the preset environmental conditions, and the actual failure alarm is not a false alarm. Therefore, the processing result of the fault signal is: the fault code to be filtered is not output.
An example of this is illustrated in fig. 2. As shown in fig. 2, if the actual environmental condition information includes: environmental parameters and operating parameters. If the environmental parameter does not meet the preset environmental condition or the operation parameter does not meet the preset working condition, the real fault can be judged, the alarm is a false alarm, and the fault code is not output.
Specifically, the bogie bearing temperature is taken as an example. If a high-temperature fault code is sent by the bearing of the bogie, the current actual environment working condition information is inquired according to the fault code, and the information is as follows: ambient temperature 32 ℃. The obtained preset environment working condition information corresponding to the high-temperature fault of the bogie bearing is as follows: the ambient temperature was 35 ℃. At this time, the actual environmental condition information does not match the preset environmental condition information, so that it can be determined that the bogie bearing is operated under a non-standard condition, that is, in a high-temperature environment. Therefore, it is true that there is a true fault, not a false alarm, and then the true fault is processed, not output as a false alarm.
It should be noted that not outputting the fault code to be filtered means that the fault code indicates that it is really a fault, not a false alarm, and not doing any processing for the time series fault code. If the actual environment working condition is not consistent with the preset environment working condition, the real fault is used for alarming, and further the solution is obtained. Since the present invention is only processing fault signals, and processing true fault signals belongs to the prior art, no excessive description is made.
It should be noted that, in the technical solution, the core of the environment condition false alarm filtering rule included in the false alarm filtering rule is step S412, that is, the specific content of the environment condition false alarm filtering rule is described through step S412.
By adopting the technical scheme, false alarms caused by environmental working condition changes can be effectively filtered, and the accuracy of fault alarms is improved.
Optionally, in this embodiment, the false alarm filtering rule in step S3 includes a sensor abnormal false alarm filtering rule, and step S4 includes the following steps:
s420, according to the fault code to be filtered, acquiring the working parameter value of the component corresponding to the fault code to be filtered.
The operation parameter value refers to a detection or monitoring value obtained according to the detection or monitoring system. Specifically, it may be an index such as temperature that evaluates whether a certain component is malfunctioning.
S421, obtaining a preset normal limit value of the working parameter value.
It should be noted that the preset normal limit value may be a range value that can be detected by the sensor. Such as a span range value of the temperature sensor.
S422, if the working parameter value does not accord with the preset normal limit value, generating a fault processing result: and not outputting the fault code to be filtered.
It should be noted that, the operating parameter value does not conform to the preset normal limit value, which means that the operating parameter of the device, such as the parameter value obtained by the sensor, is not within the range of the preset normal limit value. Specifically, taking the above temperature sensor as an example, if the range of the temperature sensor is 0 to 100 ℃ and the obtained parameter value is 120 ℃, it can be determined that the parameter value is a false alarm, that is, not a real fault, so that the corresponding fault handling result is that: the filter failure code is not output. In other words, the filter fault code is not output as a false alarm.
An example of this is illustrated in fig. 2. As shown in fig. 2, the associated parameter in fig. 2, i.e., the operation parameter value, corresponds to a reference standard, and the reference parameter may be used as a standard for calculating the preset normal limit value. If the reference standard and the related parameter are compared to normal, and the sensing system sends out a fault signal, the sensing system can determine that the sensing system is a false alarm, and then the fault code is not output.
It should be noted that, in the technical solution, the core of the abnormal false alarm filtering rule of the sensor included in the false alarm filtering rule is step S422, that is, the specific content of the abnormal false alarm filtering rule of the sensor is described through step S422.
By adopting the technical scheme, the false alarm caused by the abnormality of the sensor can be effectively solved, and the reliability of fault alarm is improved.
Optionally, in this embodiment, the false alarm filtering rule in step S3 includes a false alarm fault false alarm filtering rule, and step S4 includes the following steps:
s430, obtaining a parent node of the fault node according to the fault code to be filtered.
It should be noted that, according to the fault code to be filtered, the method for obtaining the parent node of the fault node is as follows: obtaining the fault node according to the fault code to be filtered; and obtaining the association relation of the fault node, and obtaining the father node of the fault node according to the association relation.
For example, i, j, s are three of the fault propagation levels, respectively. Wherein the father node of the node s is a node i and a node j; the child nodes of node i are node j and node s.
S431, detecting the occurrence times of the fault signals of the father node in the first preset time.
In this step, it is mainly detected whether the parent node of the failed node signals a failure. The first preset time may be a period of time, such as 10 minutes.
S432, if the occurrence frequency of the fault signal of the father node is zero, generating a fault processing result: and not outputting the fault code to be filtered.
This is because if the failed node fails, the failed parent node must issue a failure signal, and at this time if the parent node does not issue a failure signal, this indicates that the failure signal issued by the failed node is a false alarm.
An example of this is illustrated in fig. 2. As shown in fig. 2, if the parent node associated fault code does not appear, i.e., the parent node does not alarm, within a given time frame, e.g., 10 minutes, then a false alarm may be determined and the fault code is not output.
It should be noted that, in the technical solution, the core of the false alarm filtering rule includes steps S431 and S432, that is, specific contents of the false alarm filtering rule are described through steps S431 and S432.
By adopting the technical scheme, whether the father node fails or not can be utilized to verify the authenticity of the child node failure alarm, and the aim of improving the alarm possibility under the condition that the detection burden is not increased any more is fulfilled.
Optionally, in this embodiment, the false alarm filtering rule in step S3 includes: intermittent fault false alarm filtering rules, and the step S4 comprises the following steps:
s440, detecting whether a fault recovery signal is received, if yes, generating a fault processing result: the fault code to be filtered is not output; if not, executing the next step.
In this step, if a fault recovery signal is detected, it may be determined that the original fault has recovered, and the original fault alarm is a false alarm. Since it is a false alarm, no output is required.
S441, acquiring an intermittent fault frequency threshold.
S442, detecting occurrence frequency of the fault codes to be filtered within a second preset time.
S443, if the occurrence frequency of the fault codes to be filtered is smaller than the intermittent fault frequency threshold value, generating a fault processing result: and not outputting the fault code to be filtered.
In this technical solution, if the fault recovery signal has been received, but the fault code is still sent, then the fault represented by the fault code may be determined to be a false alarm. If the fault recovery signal is not received, but the frequency of the received fault code to be filtered is low, for example, when the second preset time is 24 hours and the occurrence number of the fault to be filtered is 1, the fault can be considered to be disappeared within 24 hours, and then the fault can be considered to be an intermittent fault false alarm.
An example of this is illustrated in fig. 2. As shown in fig. 2, if the fault recovery signal is received within a predetermined time delay T (the reception period of the recovery signal is determined to be identical to the second preset time for convenience of description, or may be not identical), or a fault code less than the intermittent fault frequency threshold N times is received within the predetermined time delay T (i.e., the second preset time), then an intermittent fault may be recognized and thus not output as a false alarm.
In the technical scheme, the core of the intermittent fault false alarm filtering rule included in the false alarm filtering rule is step S443, that is, the specific content of the intermittent fault false alarm filtering rule is described through step S443.
By adopting the technical scheme, the interference of intermittent fault false alarms can be effectively avoided, and the authenticity of fault early warning is improved.
Optionally, in this embodiment, the false alarm filtering rule in step S3 includes an associated fault false alarm filtering rule, and step S4 includes the steps of:
s450, acquiring a father node of the fault node according to the fault code to be filtered;
s451, detecting the occurrence times of the fault signals of the father node in a third preset time;
s452, if the occurrence frequency of the fault signal of the father node is not zero, generating a fault processing result: and outputting the associated fault code.
In the technical scheme, the association relation among the nodes is still utilized, if the child node gives out a fault, but the father node does not give out a fault, the fault can be judged to be a fault report fault according to the relation of fault transmission between the father node and the child node.
The association relationship may refer to the foregoing, i, j, s being three levels of the fault propagation levels, respectively. Wherein the parent nodes of the node s are the node i and the node j, and the child nodes of the node i are the node j and the node s.
The output associated failure code refers to that when there is an associated failure, the failure of the parent node and the failure of the child node are handled as one failure. An example of this is illustrated in fig. 2. As shown in fig. 2, if any child node issues a fault code within a given time (third preset time), the parent node fault alarm and the child node fault alarm are treated as one association fault, that is, the association fault code is output, instead of outputting all the original fault codes having association relations, respectively.
It should be noted that, in the technical solution, the core of the relevant fault false alarm filtering rule included in the false alarm filtering rule is step S452, that is, the specific content of the relevant fault false alarm filtering rule is described through step S452.
By adopting the technical scheme, false alarm filtering is carried out on the fault of the fault by utilizing the association relation among the fault nodes, and the false alarm interference caused by association fault can be reduced, so that the reliability of alarm is improved.
Optionally, in this embodiment, the false alarm filtering rule in step S3 includes a repeated failure false alarm filtering rule, and step S4 includes the steps of:
s460, acquiring the fault occurrence time and the repeated fault time threshold of the fault code to be filtered.
The repeated failure time threshold value is a time-limited condition for determining repeated failure. For example, the repeated failure time threshold may be a specific time length T, in particular, may be 2 seconds, or 30 seconds, or 5 minutes, or 30 minutes or even 12 hours.
And S461, generating a detection termination time according to the fault occurrence time and the repeated fault time threshold. Wherein the detection termination time is located before the fault occurrence time, and the length of the time interval from the time fault occurrence time is equal to the repeated fault time threshold.
For example. Taking fig. 2 as an example, the occurrence time of a certain fault is t 1 At t 1 Previously t is 2 To detect the termination time, and t 2 And t 1 Between are time delays T, where the duration of T is equal to the repetition time threshold.
S462, obtaining the occurrence times of the fault codes to be filtered between the detection termination time and the fault occurrence time.
The purpose of this step is to obtain the number of occurrences of the fault code to be filtered within a time delay T (which can be seen as a repeated fault time threshold, the following).
S463, if the occurrence times of the fault codes to be filtered are equal to 0 times, generating a fault processing result: and outputting the fault code to be filtered.
For example. As shown in fig. 2, the time delay T corresponds to a repeated failure time threshold; if the fault does not occur within the time delay T, the fault code to be filtered is either a repeated fault, or the fault code received for the first time in the figure, will be output.
If the occurrence times of the fault codes to be filtered are greater than or equal to 1 time, generating a fault processing result: and not outputting the fault code to be filtered.
That is, if the fault has occurred at least once within the time delay T, the same fault that has occurred again, i.e., a repeated fault, is not output. Considering the foregoing "if the occurrence number of the fault codes to be filtered is equal to 0 times, generating a fault processing result: outputting the fault code to be filtered ", the result is equivalent to that the fault code received for the first time only obtains the output, and the fault code appears in the time delay T later, namely, the fault code is processed as repeated faults: and not outputting the fault code to be filtered.
By adopting the technical scheme, repeated alarm can be effectively reduced, the processing capacity of alarm information is reduced, and the accuracy and reliability of alarm are improved.
Optionally, in this embodiment, step S4 is further provided with:
s5, obtaining a supplementary fault code according to the time sequence fault code and the fault code pool.
S6, generating an updated fault code pool according to the supplementary fault codes and the fault code pool.
It should be noted that this technical solution is complementary to the previous technical solution. As previously described, the false alarm filtering is performed only if the time series fault code coincides with one of the fault codes in the fault code pool. If there is no consistent fault code, the timing fault code is directly output. Because the fault code of the time sequence fault code is not input into the fault code pool, the time sequence fault code is obtained again next time, and the fault code can not be filtered, so that the vulnerability of false alarm filtering is easy to occur.
By adopting the technical scheme, the new fault codes which are not added into the fault code pool can be collected and added into the original fault code pool as the supplementary fault codes in time so as to form an updated fault code pool, thereby realizing the repair of the false alarm filtering loopholes and perfecting the fault signal processing method.
Furthermore, the above-described processes in the embodiments are implemented in the form of software functional units and sold or used as independent products, which may be stored in a computer-readable storage medium. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the computer readable medium contains content that can be appropriately scaled according to the requirements of jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is subject to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.
In the present invention, unless expressly stated or limited otherwise, a first feature "up" or "down" a second feature may be a direct contact between the first feature and the second feature, or an indirect contact between the first feature and the second feature through an intervening medium.
Moreover, a first feature "above," "over" and "on" a second feature may be a first feature directly above or obliquely above the second feature, or simply indicate that the first feature is higher in level than the second feature. The first feature being "under", "below" and "beneath" the second feature may be the first feature being directly under or obliquely below the second feature, or simply indicating that the first feature is at a lower level than the second feature.
In the description of the present specification, reference to the description of the terms "one embodiment," "some embodiments," "examples," "particular examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.
Claims (9)
1. A fault signal processing method for improving reliability of fault alarms, comprising the steps of:
s1, acquiring a time sequence fault code and a fault code pool, wherein the fault code pool comprises a plurality of fault codes;
s2, determining a fault code to be filtered according to the time sequence fault code and the fault code pool;
s3, acquiring a false alarm filtering rule;
s4, generating a fault processing result according to the fault code to be filtered and the false alarm filtering rule;
the false alarm filtering rule in step S3 includes a false alarm fault false alarm filtering rule, and step S4 includes the following steps:
s430, acquiring a father node of the fault node according to the fault code to be filtered;
s431, detecting the occurrence times of fault signals of the father node in a first preset time;
s432, if the occurrence frequency of the fault signal of the father node is zero, generating a fault processing result: and not outputting the fault code to be filtered.
2. The fault signal processing method according to claim 1, wherein the false alarm filtering rule in step S3 includes an ambient condition false alarm filtering rule, and step S4 includes the steps of:
s410, acquiring actual environment working condition information according to the fault code to be filtered;
s411, acquiring preset environment working condition information corresponding to a fault code to be filtered;
s412, if the actual environment working condition information does not accord with the preset environment working condition information, generating a fault processing result: and not outputting the fault code to be filtered.
3. The fault signal processing method according to claim 1, wherein the false alarm filtering rule in step S3 includes a sensor abnormal false alarm filtering rule, and step S4 includes the steps of:
s420, according to the fault code to be filtered, acquiring a working parameter value of a component corresponding to the fault code to be filtered;
s421, acquiring a preset normal limit value of the working parameter value;
s422, if the working parameter value does not accord with the preset normal limit value, generating a fault processing result: and not outputting the fault code to be filtered.
4. The fault signal processing method according to claim 1, wherein the false alarm filtering rule in step S3 includes: intermittent fault false alarm filtering rules, and the step S4 comprises the following steps:
s440, detecting whether a fault recovery signal is received, if yes, generating a fault processing result: the fault code to be filtered is not output; if not, executing the next step;
s441, acquiring an intermittent fault frequency threshold;
s442, detecting occurrence frequency of the fault codes to be filtered within a second preset time;
s443, if the occurrence frequency of the fault codes to be filtered is smaller than the intermittent fault frequency threshold value, generating a fault processing result: and not outputting the fault code to be filtered.
5. The fault signal processing method according to claim 1, wherein the false alarm filtering rule in step S3 includes: associating the fault false alarm filtering rule, and the step S4 comprises the following steps:
s450, acquiring a father node of the fault node according to the fault code to be filtered;
s451, detecting the occurrence times of the fault signals of the father node in a third preset time;
s452, if the occurrence frequency of the fault signal of the father node is not zero, generating a fault processing result: and outputting the associated fault code.
6. The fault signal processing method according to claim 1, wherein the false alarm filtering rule in step S3 includes a repeated fault false alarm filtering rule, and step S4 includes the steps of:
s460, acquiring the fault occurrence time and the repeated fault time threshold of the fault code to be filtered;
s461, generating a detection termination time according to the fault occurrence time and the repeated fault time threshold, wherein the detection termination time is positioned before the fault occurrence time, and the length of a time interval between the detection termination time and the time fault occurrence time is equal to the repeated fault time threshold;
s462, acquiring the occurrence times of the fault codes to be filtered between the detection termination time and the fault occurrence time;
s463, if the occurrence times of the fault codes to be filtered are equal to 0 times, generating a fault processing result: outputting the fault code to be filtered;
if the occurrence times of the fault codes to be filtered are greater than or equal to 1 time, generating a fault processing result: and not outputting the fault code to be filtered.
7. The fault signal processing method according to any one of claims 1 to 6, characterized in that step S4 is further followed by:
s5, obtaining a supplementary fault code according to the time sequence fault code and the fault code pool;
s6, generating an updated fault code pool according to the supplementary fault codes and the fault code pool.
8. A computer readable storage medium storing a computer program, characterized in that the computer program, when executed by a processor, implements the fault signal processing method according to any one of claims 1 to 6.
9. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the fault signal processing method according to any one of claims 1 to 6 when executing the computer program.
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