CN107368058B - Fault monitoring method for equipment, equipment and computer readable medium - Google Patents
Fault monitoring method for equipment, equipment and computer readable medium Download PDFInfo
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- CN107368058B CN107368058B CN201710591498.7A CN201710591498A CN107368058B CN 107368058 B CN107368058 B CN 107368058B CN 201710591498 A CN201710591498 A CN 201710591498A CN 107368058 B CN107368058 B CN 107368058B
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- 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
- G05B23/0297—Reconfiguration of monitoring system, e.g. use of virtual sensors; change monitoring method as a response to monitoring results
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Abstract
The invention discloses a fault monitoring method, equipment and a computer readable medium for equipment. The fault monitoring method for the equipment comprises the following steps: acquiring fault monitoring parameters of equipment; comparing the fault monitoring parameters with a set alarm threshold value to obtain a fault monitoring result; acquiring the actual running state of the equipment fed back by a user; and updating the alarm threshold value based on the fault monitoring result and the actual running state. The fault monitoring method for the equipment can improve the accuracy of fault monitoring.
Description
Technical Field
The present invention relates to the field of devices, and in particular, to a method, a device, and a computer readable medium for monitoring a fault of a device.
Background
The automatic monitoring of equipment faults becomes an important technical means for guaranteeing the normal operation of equipment. When a certain parameter of the equipment exceeds a preset alarm threshold value, the equipment can send out corresponding alarm information.
Generally, the alarm threshold value is a fixed value set when the device is shipped from a factory. If the alarm threshold is set too loosely, the equipment may have generated irreversible failure when the alarm occurs, which seriously affects the service life of the equipment. If the alarm threshold is set too tightly, the device may often make unnecessary alarms, affecting the normal use of the device.
Disclosure of Invention
In view of this, the present invention provides a fault monitoring method, device and computer readable medium for a device, which can dynamically adjust an alarm threshold value for alarming, thereby improving the accuracy of fault monitoring.
In a first aspect, a fault monitoring method for a device is provided, including:
acquiring fault monitoring parameters of the equipment;
comparing the fault monitoring parameter with a set alarm threshold value to obtain a fault monitoring result;
acquiring the actual running state of the equipment fed back by a user;
and updating the alarm threshold value based on the fault monitoring result and the actual running state.
Optionally, the comparing the fault monitoring parameter with a set alarm threshold value to obtain a fault monitoring result includes:
comparing the fault monitoring parameter with a set alarm threshold value;
if the fault monitoring parameter exceeds the alarm threshold value, determining that the equipment has a fault, and outputting alarm information;
otherwise, determining that the equipment does not fail.
Optionally, the updating the alarm threshold value based on the fault monitoring result and the actual operation state includes:
adjusting a threshold updating weight according to the fault monitoring result and the actual running state;
and updating the alarm threshold value when the threshold updating weight value meets a preset condition.
Optionally, adjusting the threshold update weight according to the fault monitoring result and the actual operating state includes:
when the fault monitoring result indicates that the equipment has no fault and the actual running state is abnormal, reducing the threshold updating weight;
when the fault monitoring result indicates that equipment has a fault and the actual running state is abnormal, the threshold updating weight is increased;
when the fault monitoring result indicates that equipment has a fault and the actual running state is normal, reducing the threshold updating weight;
and when the fault monitoring result indicates that the equipment has no fault and the actual running state is normal, increasing the threshold updating weight.
Optionally, when the threshold update weight satisfies a predetermined condition, updating the alarm threshold value includes:
and updating the alarm threshold value when the threshold updating weight value is smaller than a preset threshold updating threshold value.
Optionally, the threshold update weight is set to a maximum value, and after being adjusted to the maximum value, the threshold update weight is not increased.
Optionally, the updating the alarm threshold value based on the fault monitoring result and the actual operating state further includes:
and after the alarm threshold value is updated, resetting the threshold updating weight value to a preset initial value.
In a second aspect, there is provided an apparatus comprising:
a processor;
a memory; and
program instructions stored in the memory which, when executed by the processor, perform the method of the first aspect.
In a third aspect, there is provided a computer readable medium storing program instructions that, when executed by a processor, perform the method of the first aspect.
The fault monitoring method, the equipment and the computer readable medium for the equipment can simultaneously obtain the fault monitoring result based on the fault monitoring parameters and the actual running state of the equipment, and further correct the alarm threshold value of the fault alarm based on the fault monitoring result and the actual running state of the equipment so as to improve the accuracy of the fault monitoring of the equipment, and reduce unnecessary fault alarms while ensuring the normal running of the equipment.
Drawings
The above and other objects, features and advantages of the present invention will become more apparent from the following description of the embodiments of the present invention with reference to the accompanying drawings, in which:
FIG. 1 shows a flow diagram of a fault monitoring method for a device according to one embodiment of the invention;
FIG. 2 shows a flow diagram of a fault monitoring method for a device according to another embodiment of the invention;
fig. 3 shows a schematic structural diagram of an apparatus according to an embodiment of the present invention.
Detailed Description
The present invention will be described below based on examples, but the present invention is not limited to only these examples.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
FIG. 1 is a flow chart of a fault monitoring method for a device according to one embodiment of the invention.
As shown in fig. 1, in step 101, a fault monitoring parameter of a device is obtained.
In this embodiment, the fault monitoring method may be performed by a processor provided in the device. The processor may first obtain fault monitoring parameters for the device at certain time intervals. The fault monitoring parameters may be those parameters capable of characterizing the working state of the device, and may be set according to the actual function of the device. For example, for most electrical devices, the value of current or voltage in the circuit can be used to characterize whether the device is operating properly. For a device with a heating function, the temperature of its heating component can be used to characterize whether its heating function is normal. It should be noted that the time interval may be set according to actual requirements, for example, if real-time monitoring of equipment failure is to be achieved, the time interval may be set as short as possible.
Specifically, the processor may adopt different obtaining modes according to the nature of the fault monitoring parameter when obtaining the fault monitoring parameter of the device. For example, if the fault-monitoring parameter is a current value or a voltage value, the processor may sample the current value or the voltage value directly from the corresponding circuit. If the fault monitoring parameter is a temperature value, a temperature sensor can be arranged at the sampling position, and the temperature sensor sends the obtained temperature value to the processor.
In step 102, the fault monitoring parameter is compared with a set alarm threshold value to obtain a fault monitoring result.
In this embodiment, after obtaining the fault monitoring parameter of the device, the processor may compare the fault monitoring parameter with a set alarm threshold value to determine whether the device is faulty. The specific value of the alarm threshold value may be determined by a manufacturer of the device according to the previous device usage experience. When the fault monitoring parameter exceeds the alarm threshold value, the equipment is likely to be in fault.
Optionally, the processor may compare the obtained fault monitoring parameter with a set alarm threshold value. If the fault monitoring parameter exceeds the alarm threshold value, the equipment can be determined to be in fault, and alarm information is output; otherwise, it may be determined that the device has not failed. Specifically, outputting the alarm information may include: an alarm audio is played through a speaker configured on the device, or an alarm picture is displayed through a display configured on the device.
In step 103, the actual operation state of the device fed back by the user is obtained.
In this embodiment, the user may input the actual operation state information of the device through an input module (e.g., a keyboard, a microphone, or a touch screen) configured to the device. Or the user may enter actual operational status information of the device on his mobile device and the mobile device sends this information to the processor of the device via the communication network. After the processor obtains the actual running state information, whether the real running state of the equipment is normal or abnormal can be determined.
In step 104, the alarm threshold value is updated based on the fault monitoring result and the actual operating state.
After obtaining the fault monitoring result and the actual operation state of the device from the above steps 102 and 103, the processor may update the previously set alarm threshold according to the specific conditions of the fault monitoring result and the actual operation state of the device. The fault monitoring result reflects the equipment fault condition determined according to the alarm threshold value, and the actual running state of the equipment reflects the real fault condition of the equipment, so whether the two are consistent can reflect the accuracy of the alarm threshold value to a certain extent.
If the fault monitoring result is consistent with the actual operation state of the equipment, for example, the equipment performs fault alarm and the actual operation of the equipment is abnormal, the setting of the alarm threshold value can be relatively reasonable, and the alarm threshold value can be kept unchanged at the moment. If the fault monitoring result is inconsistent with the actual operation state of the device, it can be said that the setting of the alarm threshold value is unreasonable, and at this time, the alarm threshold value needs to be updated. For example, if the device performs fault alarm but the device actually operates normally, the alarm range set by the alarm threshold value is considered to be too strict, and the alarm range needs to be relaxed a little to avoid unnecessary false alarm; if the device does not perform fault alarm but the actual operation of the device is abnormal, the alarm range set by the alarm threshold value is considered to be too loose, and the alarm range needs to be changed to be stricter, and fault alarm is performed in time.
The above steps 101 to 104 may be repeatedly executed in a loop, and in step 102, the newly acquired fault monitoring parameter is compared with the updated alarm threshold value to determine whether to perform a fault alarm.
The fault monitoring method for the equipment provided by the embodiment can obtain the fault monitoring result based on the fault monitoring parameter and the actual running state of the equipment at the same time, and further corrects the alarm threshold value of the fault alarm based on the states of the fault monitoring result and the actual running state of the equipment, so that the accuracy of the fault monitoring of the equipment is improved, and unnecessary false alarms are reduced while the normal running of the equipment is ensured.
Fig. 2 is a flow chart of a fault monitoring method for a device according to another embodiment of the invention.
As shown in fig. 2, in step 201, a fault monitoring parameter of the device is obtained.
In step 202, the fault monitoring parameter is compared with a set alarm threshold value to obtain a fault monitoring result.
In step 203, the actual operating state of the device fed back by the user is obtained.
In this embodiment, steps 201 to 203 are respectively the same as steps 101 to 103 in fig. 1, and are not described again here.
In this embodiment, whether the current alarm threshold value is reasonable is determined by setting a threshold update weight. And adjusting the threshold updating weight value according to whether the comparison fault monitoring result is consistent with the actual running state every time, and triggering the updating of the alarm threshold value when the threshold updating weight value meets the preset condition.
After obtaining the fault monitoring result and the actual operation state, the processor can further update the alarm threshold value for carrying out fault alarm based on the fault monitoring result and the actual operation state. According to the fault monitoring result and the actual operation state, the present embodiment further includes steps 204 to 206.
In step 204, if the failure monitoring result indicates that the device has not failed and the actual operation status is abnormal, the threshold update weight is decreased.
In this embodiment, if the fault monitoring result indicates that the device is not faulty and the actual operating state is abnormal, it indicates that the actual device is faulty, but the processor does not alarm for the fault in time. The reason for such false alarm is that the alarm condition is set too loosely, that is, the alarm range set by the current alarm threshold is too small to include the monitoring parameter values in all fault states.
In this embodiment, the threshold update weight is preset to be 1, and the amplitude of each adjustment can be set according to actual needs, for example, the amplitude of each adjustment is 0.1.
For example, assume that the alarm threshold value set by a certain device current is 20A, i.e., alarm when the device current is greater than 20A. If the current actual operation of the equipment is abnormal, but the monitoring current is only 18A, and the fault monitoring result is 'no fault', the alarm range formed when the alarm threshold value is 20A is too small, and in this case, the threshold updating weight value is reduced, and the threshold updating weight value which is originally 1 is adjusted to be 0.9. If the next fault detection monitoring is the same as the current time, the threshold updating weight value is continuously adjusted from 0.9 to 0.8; and so on, and will not be described in detail here.
In step 205, if the fault monitoring result indicates that the device has a fault and the actual operation state is abnormal, the threshold update weight is increased.
In this embodiment, if the fault monitoring result indicates that the device has a fault and the actual operating state is abnormal, it indicates that the actual device has a fault and the processor also performs a fault alarm in time. This indicates that the current alarm threshold setting is reasonable. In this case, the threshold update weight is increased. Since the device is normally operated in most cases, a maximum value may be set for the threshold update weight, and the threshold update weight is not increased after the threshold update weight is adjusted to the maximum value.
In step 206, if the failure monitoring result indicates that the device has failed and the actual operation state is normal, the threshold update weight is decreased.
In this embodiment, if the fault monitoring result indicates that the device is faulty and the actual operation state is normal, it indicates that the actual device is not faulty, but the processor performs a fault alarm. The reason for such false alarm is mainly that the condition for alarming is set too strictly, that is, the alarm range set by the current alarm threshold value is too large, including the monitoring parameter values in some non-fault states.
In step 207, if the fault monitoring result indicates that no fault occurs and the actual operation state is normal, the threshold update weight is increased.
In step 208, it is determined whether the threshold update weight is smaller than a preset threshold update threshold, if yes, go to step 209, otherwise go back to step 201 to perform the next cycle.
In the present embodiment, the threshold update threshold is set to 0.7.
At step 209, the alarm threshold is updated.
Wherein a new alarm threshold value may be calculated according to a predetermined update algorithm, e.g. multiple averaging etc. Historical operating parameters of the device may be included in the calculation of the new alarm threshold value.
After the alarm threshold value is updated, the threshold updating weight value is reset to the initial value.
The present embodiment will be further described below by way of specific examples. The alarm threshold value of a certain device current is assumed to be 20A, namely, when the device current is greater than or equal to 20A, an alarm is given. If the actual operation of the equipment is abnormal within a certain monitoring week, the monitoring current is 20A, and the fault monitoring result is 'fault', the previous threshold condition is relatively suitable. Thus, the threshold update weight is increased from the initial value of 1 to 1.1. Subsequently, if the next monitoring current is 18A, the fault monitoring result is 'fault', but the device actually operates normally, the threshold updating weight is reduced from 1.1 to 1. If the fault monitoring result is inconsistent with the actual operation state for 4 times, the threshold updating weight is reduced by 0.1 every time, so that the threshold updating weight is reduced to 0.6. At this time, because the threshold update weight is smaller than the preset threshold update threshold value of 0.7, the system determines that the current alarm threshold value needs to be updated, starts updating the alarm threshold value, and resets the threshold update weight as the initial value.
Therefore, whether the current alarm threshold value is reasonable or not is evaluated through the threshold updating weight value, the threshold updating weight value is adjusted according to the comparison result of the fault monitoring result and the actual operation state, when the fault monitoring result is inconsistent with the actual operation state for many times through the alarm threshold value, the updating of the alarm threshold value is started when the adjusted threshold updating weight value reaches the preset threshold updating threshold value, the repeated occurrence of unnecessary alarm information is reduced, the alarm of equipment is in accordance with the actual working condition, and the meaningless repeated alarm is avoided.
Fig. 3 shows a schematic structural diagram of an apparatus according to an embodiment of the present invention. As shown in fig. 3, the apparatus of the present embodiment includes: a processor 310 and a memory 320.
The memory 320 is used to store program instructions, the processor 310 may be coupled to the memory 320, the processor 310 is configured to perform the following steps based on the instructions stored by the memory 320:
acquiring fault monitoring parameters of the equipment; comparing the fault monitoring parameter with a set alarm threshold value to obtain a fault monitoring result; acquiring the actual running state of the equipment fed back by a user; and updating the alarm threshold value based on the fault monitoring result and the actual running state.
In an optional implementation manner of this embodiment, comparing the fault monitoring parameter with a set alarm threshold value, and obtaining a fault monitoring result includes: comparing the fault monitoring parameter with a set alarm threshold value; if the fault monitoring parameter exceeds the limit of an alarm threshold value, determining that the equipment has a fault, and outputting alarm information; otherwise, determining that the equipment does not fail.
In an optional implementation manner of this embodiment, updating the alarm threshold value based on the fault monitoring result and the actual operation state includes: adjusting a threshold updating weight according to the fault monitoring result and the actual running state; and when the threshold updating weight value meets a preset condition, updating the alarm threshold value.
In an optional implementation manner of this embodiment, when the failure monitoring result indicates that the device has not failed and the actual operating state is abnormal, the threshold update weight is reduced.
And when the fault monitoring result indicates that equipment has faults and the actual running state is abnormal, the threshold updating weight is increased.
And when the fault monitoring result indicates that equipment has faults and the actual running state is normal, reducing the threshold updating weight.
And when the fault monitoring result indicates that the equipment has no fault and the actual running state is normal, increasing the threshold updating weight.
Preferably, the threshold update weight is set to a maximum value, and after being adjusted to the maximum value, the threshold update weight is not increased. In an optional implementation manner of this embodiment, when the threshold update weight is smaller than a preset threshold update threshold, the alarm threshold is updated. In an optional implementation manner of this embodiment, after the alarm threshold value is updated, the threshold update weight is reset to a predetermined initial value.
As shown in fig. 3, the device of the present embodiment may further include a communication interface 330, an input module 340, and a bus 350. The communication interface 330 is used for information interaction with other devices, and the input module 340 is used for receiving information input by a user. Meanwhile, the processor 310, the memory 320, the communication interface 330 and the input module 340 communicate with each other through the bus 350.
The memory 320 may comprise high-speed RAM memory and may also include non-volatile memory (non-volatile memory), such as at least one disk memory. The memory 320 may also be a memory array. The storage 320 may also be partitioned, and the blocks may be combined into virtual volumes according to certain rules.
Further, the processor 310 may be a central processing unit CPU, or may be an application Specific Integrated circuit ASIC (application Specific Integrated Circuit), or one or more Integrated circuits configured to implement embodiments of the present invention.
The embodiment of the present application further provides a computer-readable storage medium, where the computer-readable storage medium stores program instructions, and the program instructions, when executed by a processor, implement the method according to any of the embodiments in fig. 1 or fig. 2.
By implementing the method and the device, the fault monitoring result of the fault monitoring parameters and the actual running state of the equipment can be based on the fault monitoring result and the actual running state of the equipment, and the alarm threshold value of the fault alarm is further corrected based on the fault monitoring result and the actual running state of the equipment, so that the accuracy of equipment fault monitoring is improved, and unnecessary fault alarm is reduced while the normal running of the equipment is ensured.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable non-transitory storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Claims (7)
1. A fault monitoring method for a device, comprising:
acquiring fault monitoring parameters of the equipment;
comparing the fault monitoring parameter with a set alarm threshold value to obtain a fault monitoring result;
acquiring the actual running state of the equipment fed back by a user;
updating the alarm threshold value based on the fault monitoring result and the actual operation state;
the updating the alarm threshold value based on the fault monitoring result and the actual operation state comprises:
adjusting a threshold updating weight according to the fault monitoring result and the actual running state;
when the threshold updating weight value meets a preset condition, updating the alarm threshold value;
wherein, the adjusting the threshold update weight according to the fault monitoring result and the actual operation state comprises:
when the fault monitoring result indicates that the equipment has no fault and the actual running state is abnormal, reducing the threshold updating weight;
when the fault monitoring result indicates that equipment has a fault and the actual running state is abnormal, the threshold updating weight is increased;
when the fault monitoring result indicates that equipment has a fault and the actual running state is normal, reducing the threshold updating weight;
and when the fault monitoring result indicates that the equipment has no fault and the actual running state is normal, increasing the threshold updating weight.
2. The method of claim 1, wherein comparing the fault monitoring parameter with a set alarm threshold value to obtain a fault monitoring result comprises:
comparing the fault monitoring parameter with a set alarm threshold value;
if the fault monitoring parameter exceeds the alarm threshold value, determining that the equipment has a fault, and outputting alarm information;
otherwise, determining that the equipment does not fail.
3. The method of claim 1, wherein updating the alarm threshold value when the threshold update weight satisfies a predetermined condition comprises:
and updating the alarm threshold value when the threshold updating weight value is smaller than a preset threshold updating threshold value.
4. The method of claim 1, wherein the threshold update weight is set to a maximum value, and wherein the threshold update weight is not increased after being adjusted to the maximum value.
5. The method of claim 1, wherein updating the alarm threshold value based on the fault monitoring result and the actual operating state further comprises:
and after the alarm threshold value is updated, resetting the threshold updating weight value to a preset initial value.
6. An apparatus, comprising:
a processor;
a memory; and
program instructions stored in the memory, which when executed by the processor, perform the method of any of claims 1-5.
7. A computer-readable medium, storing program instructions, which, when executed by a processor, perform the method of any one of claims 1-5.
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| CN109959465A (en) * | 2017-12-22 | 2019-07-02 | 中冶京诚工程技术有限公司 | Motor temperature early warning guard method, computer equipment and readable storage medium storing program for executing |
| CN109239265B (en) | 2018-09-11 | 2021-01-22 | 清华大学合肥公共安全研究院 | Fault detection method and device for monitoring equipment |
| CN115802199B (en) * | 2022-10-26 | 2023-09-22 | 北京力控元通科技有限公司 | Alarm threshold determining method and device, electronic equipment and readable storage medium |
| CN116452924B (en) * | 2023-03-21 | 2023-10-13 | 长扬科技(北京)股份有限公司 | Model threshold adjustment method and device, electronic equipment and storage medium |
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