CN116067636A - State detection method, device, apparatus, storage medium, and program product - Google Patents
State detection method, device, apparatus, storage medium, and program product Download PDFInfo
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- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
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- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The present application relates to a state detection method, apparatus, device, storage medium, and program product. The method comprises the following steps: the method comprises the steps of obtaining first state data of a plurality of target devices at a first moment, comparing the first state data with standard state data of the target devices in a different mode for each target device to obtain a first comparison result, and then determining whether to output state abnormality prompts according to the first comparison result and a second comparison result, wherein the second comparison result is obtained by comparing the second state data with the standard state data in a different mode, a second collection moment of the second state data is located before a first collection moment of the first operation state data in time sequence, and the second collection moment is adjacent to the first collection moment in time sequence.
Description
Technical Field
The present invention relates to the field of device monitoring technologies, and in particular, to a state detection method, apparatus, device, storage medium, and program product.
Background
With the development of the scientific industry, numerous devices are often deployed in large factories. Taking a nuclear power plant as an example, a large number of pump set devices are deployed in the nuclear power plant to provide data related to actual production and operation processes of the nuclear power plant, for example: and collecting and processing data such as temperature, pressure, power and flow.
In the actual operation process, any equipment is abnormal, which may cause non-negligible influence on the production process, and even safety risk occurs, so that the operation state of each equipment is generally monitored in the production operation process. While factories often need to monitor different devices or different types of devices separately, the prior art device operation status monitoring is generally less versatile for a single device or a type of device.
In view of this, it is necessary to provide a method for detecting the status of a device, which can monitor the operation status of a plurality of devices or a plurality of different types of devices at the same time, and discover the abnormality of the devices in time.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a state detection method, apparatus, device, storage medium, and program product.
In a first aspect, the present application provides a method for detecting a state. The method comprises the following steps:
acquiring first state data of a plurality of target devices at a first moment, and for each target device, performing difference comparison on the first state data and standard state data of the target device to obtain a first comparison result; determining whether to output a state abnormality prompt according to the first comparison result and the second comparison result; the second comparison result is obtained by performing difference comparison on the second state data and the standard state data, the second collection time of the second state data is located before the first collection time of the first operation state data in time sequence, and the second collection time and the first collection time are adjacent in time sequence.
In one embodiment, determining whether to output the status exception prompt based on the first comparison result and the second comparison result includes: calculating a state change rate according to the first comparison result and the second comparison result; if the state change rate is greater than a preset state change rate threshold, outputting a state abnormality prompt; and if the state change rate is smaller than or equal to the preset state change rate threshold value, prohibiting the output of the state abnormality prompt.
In one embodiment, the first state data includes a first key parameter, the second state data includes a second key parameter, the standard state data includes a key parameter interval, and determining whether to output a state exception prompt according to the first comparison result and the second comparison result includes: if the first key parameter and the second key parameter are not in the key parameter interval, determining whether to output a state abnormality prompt according to the first comparison result and the second comparison result.
In one embodiment, calculating the state change rate from the first comparison result and the second comparison result includes: calculating a mean square error according to the first comparison result and the standard state data, and calculating a current change rate according to the first comparison result and the second comparison result; and calculating the state change rate according to the first comparison result, the mean square error and the current change rate.
In one embodiment, the preset state change rate threshold is related to a preset absolute alarm threshold, or the preset state change rate threshold is related to an average change rate corresponding to the first state data and the second state data.
In one embodiment, the method further comprises: acquiring a ground state data set of target equipment under each working condition, wherein the ground state data set comprises state data of the target equipment in normal operation under the corresponding working condition; and calculating the similarity between the second state data and each ground state data set, and taking the state data in the target ground state data set with the maximum similarity as standard state data.
In one embodiment, acquiring a ground state data set of a target device under each working condition includes: acquiring historical state data corresponding to target equipment; and dividing the historical state data according to each working condition to obtain each ground state data set.
In one embodiment, the method further comprises: if the first moment is the first sampling moment in the preset state monitoring time interval, a first comparison result is stored; if the first time is not the first sampling time in the preset state monitoring time interval, determining whether to output the state abnormality prompt according to the first comparison result and the second comparison result.
In a second aspect, the present application further provides a status detection apparatus. The device comprises:
and the comparison module is used for acquiring first state data of the plurality of target devices at a first moment, and for each target device, performing difference comparison on the first state data and standard state data of the target device to obtain a first comparison result.
And the determining module is used for determining whether to output the state abnormality prompt according to the first comparison result and the second comparison result.
The second comparison result is obtained by performing difference comparison on the second state data and the standard state data, the second collection time of the second state data is located before the first collection time of the first operation state data in time sequence, and the second collection time and the first collection time are adjacent in time sequence.
In one embodiment, the determining module includes:
and the calculating unit is used for calculating the state change rate according to the first comparison result and the second comparison result.
The first output unit is used for outputting a state abnormality prompt if the state change rate is larger than a preset state change rate threshold value.
And the second output unit is used for prohibiting the output of the abnormal state prompt if the state change rate is smaller than or equal to the preset state change rate threshold value.
In one embodiment, the first state data includes a first key parameter, the second state data includes a second key parameter, the standard state data includes a key parameter interval, and the determining module is specifically configured to: if the first key parameter and the second key parameter are not in the key parameter interval, determining whether to output a state abnormality prompt according to the first comparison result and the second comparison result.
In one embodiment, the computing unit is specifically configured to: calculating a mean square error according to the first comparison result and the standard state data, and calculating a current change rate according to the first comparison result and the second comparison result; and calculating the state change rate according to the first comparison result, the mean square error and the current change rate.
In one embodiment, the preset state change rate threshold is related to a preset absolute alarm threshold, or the preset state change rate threshold is related to an average change rate corresponding to the first state data and the second state data.
In one embodiment, the apparatus further comprises:
the acquisition module is used for acquiring a ground state data set of the target equipment under each working condition, wherein the ground state data set comprises state data of normal operation of the target equipment under the corresponding working condition.
The calculation module: and calculating the similarity between the second state data and each ground state data set, and taking the state data in the target ground state data set with the maximum similarity as standard state data.
In one embodiment, the acquiring module is specifically configured to: acquiring historical state data corresponding to target equipment; and dividing the historical state data according to each working condition to obtain each ground state data set.
In one embodiment, the apparatus further comprises:
the storage module is used for storing the first comparison result if the first time is the first sampling time in the preset state monitoring time interval.
And the execution module is used for executing the determination of whether to output the state abnormality prompt according to the first comparison result and the second comparison result if the first time is not the first sampling time in the preset state monitoring time interval.
In a third aspect, embodiments of the present application provide an apparatus having a computer program stored thereon, which when executed by a processor performs the steps of any of the first aspects described above.
In a fourth aspect, embodiments of the present application provide a storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of any of the first aspects described above.
In a fifth aspect, embodiments of the present application provide a program product having a computer program stored thereon, which when executed by a processor performs the steps of any of the first aspects described above.
According to the state detection method, the device, the equipment, the storage medium and the program product, the first state data of the plurality of target equipment at the first moment is obtained, for each target equipment, the first state data is compared with the standard state data of the target equipment in a difference mode to obtain the first comparison result, whether the state abnormality prompt is output is determined according to the first comparison result and the second comparison result, wherein the second comparison result is obtained by comparing the second state data with the standard state data, the second collection moment of the second state data is located before the first collection moment of the first operation state data in time sequence, the second collection moment is adjacent to the first collection moment in time sequence, the operation state of the target equipment is monitored, the state abnormality prompt is output under the condition that the state of the target equipment is abnormal, and therefore the abnormal equipment can be found in time, and the production safety is improved. The types of the plurality of target devices in the embodiment of the application can be the same or different, that is, the embodiment of the application can detect the states of the plurality of devices or the plurality of different types of target devices at the same time, so that the application universality of the application device is improved, and the economy is further improved.
Drawings
FIG. 1-a is a diagram of an environment in which a method of state detection is implemented in one embodiment;
FIG. 1-b is a diagram of an implementation environment of a state detection method in another embodiment;
FIG. 2 is a flow chart of a method for detecting a status in one embodiment;
FIG. 3 is a flow chart of a method of determining standard state data in one embodiment;
FIG. 4 is a flow diagram of a method for acquiring a ground state data set in one embodiment;
FIG. 5 is a flow chart of a method for determining whether to output a status exception indication in one embodiment;
FIG. 6 is a flow diagram of a method of calculating a state change rate in one embodiment;
FIG. 7 is a flow chart of a state detection method according to another embodiment;
FIG. 8 is a flow chart of a state detection method according to another embodiment;
FIG. 9 is a flow chart of a state detection method according to another embodiment;
FIG. 10 is a block diagram of a state detection device in one embodiment;
FIG. 11 is a block diagram showing a state detecting apparatus according to another embodiment;
FIG. 12 is an internal block diagram of a computer device as a server in one embodiment;
fig. 13 is an internal structural diagram of a computer device as a terminal in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
In this application, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present application, the meaning of "plurality" is at least two, for example, two, three, etc., unless explicitly defined otherwise.
The technical solutions related to the embodiments of the present application are described below in conjunction with the scenarios applied by the embodiments of the present application.
Fig. 1-a is a schematic diagram of an implementation environment related to a state detection method provided in an embodiment of the present application, as shown in fig. 1-a, where the implementation environment may include a plurality of target devices, and the plurality of target devices may be the same type of target device or different types of target devices, and for convenience of understanding of the reader, only one of the target devices 101 is taken herein as an example, and the target device 101 may refer to a device in a nuclear power plant, and the target device 101 may be a voltage stabilizer, a steam generator, a steam-water separator reheater, a generator, a relay protection device, and the specific target device is not limited herein.
In the implementation environment shown in fig. 1-a, the target device 101 may acquire first state data of the target device 101 at a first moment, and compare the first state data with standard state data of the target device to obtain a first comparison result, and then, the target device 101 determines whether to output a state abnormality prompt according to the first comparison result and the second comparison result; the second comparison result is obtained by performing difference comparison on the second state data and the standard state data, the second collection time of the second state data is located before the first collection time of the first operation state data in time sequence, and the second collection time and the first collection time are adjacent in time sequence.
Optionally, the implementation environment related to the state detection method provided by the embodiment of the application may further include a target device and a server. As shown in fig. 1-b, the implementation environment may further include a target device 101 and a server 102, where the target device 101 and the server 102 may communicate over a wired network or a wireless network. The target device 101 may refer to a device in a nuclear power plant, where the target device 101 may be a voltage stabilizer, a steam generator, a steam-water separation reheater, a generator, a relay protection device, and the specific target device is not limited herein; the server 102 may be one server or may be a server cluster composed of a plurality of servers.
In the implementation environment shown in fig. 1-b, the target device 101 may acquire first state data of the target device 101 at a first moment, send the first state data to the server 102, compare the first state data with standard state data of the target device by the server 102 to obtain a first comparison result, and then, the server 102 determines whether to output a state abnormality prompt according to the first comparison result and the second comparison result; the second comparison result is obtained by performing difference comparison on the second state data and the standard state data, the second collection time of the second state data is located before the first collection time of the first operation state data in time sequence, and the second collection time and the first collection time are adjacent in time sequence.
In one embodiment of the present application, as shown in fig. 2, a method for detecting a state is provided, and the method is applied to the server in fig. 1-b for illustration, and the method includes the following steps:
The target equipment refers to equipment in a nuclear power plant, the types of the target equipment comprise a voltage stabilizer, a steam generator, a steam-water separator reheater, a generator, a relay protection device and the like, the plurality of target equipment can be the same type of target equipment or different types of target equipment, and the specific types of the target equipment are not particularly limited.
In this embodiment of the present application, the state data refers to data capable of representing an operation state of a target device, whether the abnormality occurs in the target device can be directly reflected by whether the abnormality occurs in the state data, where the state data may be one data or may be multiple data, for example, for a voltage regulator, the voltage data and the pressure data are the state data, and when the abnormality occurs in the voltage data and/or the pressure data, the abnormality occurs in the operation state of the voltage regulator can be directly reflected.
Further, for different types of target devices, the server may acquire different first state data at a first time by adopting different acquisition modes, for example, for the voltage stabilizer, the first state data at the first time may be acquired by the pressure sensor, where the first state data is pressure data; for the steam generator, the first state data at the first moment can be acquired by the temperature controller, wherein the first state data is temperature data, and the specific acquisition mode is not particularly limited herein.
In addition, in the embodiment of the present application, the standard state data refers to standard value data of the target device in a normal operation state.
Alternatively, the method for obtaining the standard state data by the server may be set according to experience of a technician, may be obtained according to historical operation data of the target device, may also be obtained according to a test before the target device leaves the factory, and in the embodiment of the present application, may be obtained according to the historical operation data of the target device.
Further, the server performs a difference comparison between the first state data of each target device and the standard state data of the target device, where the difference comparison method may be to compare whether the distance between the first state data and the standard state data exceeds a preset distance threshold, or to compare whether the first state data exceeds a data interval included in the standard state data, or to compare whether the mean square error between the first state data and the standard state data exceeds a preset mean square error threshold, or in this embodiment of the present application, the difference comparison method may be to compare whether the first state data exceeds a data interval included in the standard state data.
The second comparison result is obtained by performing difference comparison on the second state data and the standard state data, the second collection time of the second state data is located before the first collection time of the first operation state data in time sequence, and the second collection time and the first collection time are adjacent in time sequence.
Optionally, the server may determine whether to output a status exception prompt by comparing the magnitudes of the first comparison result and the second comparison result; whether the state abnormality prompt is output or not can be determined by comparing whether the first comparison result and the second comparison result exceed the preset threshold or not through the preset threshold; the state change rate can be calculated through the first comparison result and the second comparison result, whether the calculated state change rate exceeds a preset state change rate threshold value is compared, whether the state abnormality prompt is output is determined, and in the embodiment of the application, whether the state abnormality prompt is output is determined through whether the calculated state change rate exceeds the preset state change rate threshold value or not through the first comparison result and the second comparison result.
The output state abnormality prompt can be realized in a mode of alarming through an external connection device, so that related technicians can timely find out abnormality of the device, and optionally, the alarming mode comprises an alarm sound alarming mode of triggering an alarm, a popup window information alarming mode of displaying a popup window on a mobile terminal of a user, an abnormal information alarming mode of displaying through a display screen, an alarming mode of flashing through an LED alarm lamp and the like, and the specific alarming mode is not limited.
According to the state detection method, the first state data of the plurality of target devices at the first moment are obtained, for each target device, the first state data are subjected to difference comparison with the standard state data of the target device to obtain the first comparison result, whether the state abnormality prompt is output or not is determined according to the first comparison result and the second comparison result, wherein the second comparison result is obtained by carrying out difference comparison on the second state data and the standard state data, the second collection time of the second state data is located before the first collection time of the first operation state data in time sequence, the second collection time is adjacent to the first collection time in time sequence, the state abnormality prompt is output under the condition that the state of the target device is abnormal by monitoring the operation state of the target device, and therefore abnormal devices can be found in time conveniently, and production safety is improved. The types of the plurality of target devices in the embodiment of the application can be the same or different, that is, the embodiment of the application can detect the states of the plurality of devices or the plurality of different types of target devices at the same time, so that the application universality of the application device is improved, and the economy is further improved.
As described above, the server needs to compare the first state data with the standard state data of the target device, and in order to obtain the standard state data of the target device, in one embodiment of the present application, as shown in fig. 3, a method for obtaining the standard state data is provided, which includes the following steps:
Where the working condition refers to the working state of the device under the condition that the device has a direct relation to its action, for example: the operating state of the engine when the fuel consumption rate is the lowest is called an economy condition, and the operating state when the load exceeds the rated value is called an overload condition.
In this embodiment, the ground state data set includes state data of normal operation of the target device under the corresponding working condition, and state data of abnormal operation of the target device under the corresponding working condition may be removed by a data screening manner, where optionally, the state data of abnormal operation may be data beyond a normal threshold preset by a technician according to experience, or may be data with a deviation from a state data average value exceeding twice a standard deviation according to a statistical method.
In one possible implementation manner, in order to obtain the ground state data set, the ground state data set may be obtained by analyzing historical state data of the target device, the ground state data set may be obtained according to experience of a technician, and the ground state data set may also be obtained according to a test before the target device leaves the factory.
And 202, calculating the similarity between the second state data and each ground state data set, and taking the state data in the target ground state data set with the maximum similarity as standard state data.
The similarity refers to the difference between the data, and the larger the similarity is, the smaller the difference is, and the more similar the two are; the smaller the similarity, the greater the difference, the more dissimilar the two.
In the embodiment of the present application, the similarity may be represented by calculating the distance between the second state data and each ground state data set, and optionally, the distance calculating manner includes calculating a euclidean distance, calculating a manhattan distance, calculating a markov group distance, calculating a pearson correlation coefficient, and the like, and the specific distance calculating manner is not limited herein.
In one embodiment of the present application, as shown in fig. 4, there is provided a method of acquiring a ground state data set, the method including the steps of:
The historical state data refers to state data generated when the target device operates in a historical period, and the historical period can be one month, six months or one year, and the specific period is not limited herein.
And 302, dividing the historical state data according to each working condition to obtain each ground state data set.
The historical state data are divided according to different working conditions of the target equipment, in other words, the historical data are classified according to the working conditions of the target equipment, so that the working conditions correspond to the corresponding historical data.
For example, in the transformer, there are three working conditions, namely, a low power working condition (for example, the power is 100 mw), a medium power working condition (for example, the power is 800 mw), and a high power working condition (for example, the power is 1000 mw), and the collected pressure history data, temperature history data and no-load loss history data of the transformer are divided according to the three working conditions, so as to obtain three groups of ground state data sets.
As described above, after the first comparison result and the second comparison result are obtained, it is required to determine whether to output the state anomaly prompt according to the first comparison result and the second comparison result, in one embodiment of the present application, as shown in fig. 5, a method for determining whether to output the state anomaly prompt is provided, which includes the following steps:
Wherein the state change rate characterizes a magnitude of a state change between the first comparison result and the second comparison result.
In an embodiment of the present application, the preset state change rate threshold is related to a preset absolute alarm threshold, or the preset state change rate threshold is related to an average change rate corresponding to the first state data and the second state data.
The absolute alarm threshold may be preset by a technician according to experience, or may be obtained after the target device is tested before leaving the factory, which is not limited in detail herein.
In one possible implementation, the absolute alarm threshold may be represented by W, and the preset state change rate threshold may be characterized as 
Wherein e is the mean square error of the first comparison result and the standard state data.
In one possible implementation, the average rate of change may be represented by θ, and the preset state change rate threshold may be characterized as
Wherein e is the mean square error of the first comparison result and the standard state data.
If the state change rate is greater than the preset state change rate threshold under any condition, the state change amplitude between the first comparison result and the second comparison result is larger, and at the moment, the target equipment is likely to be abnormal, a state abnormality prompt is output, a technician is timely notified to handle abnormal conditions, the sensitivity of equipment state detection is improved, and the safety and stability of the target equipment are ensured.
If the state change rate is smaller than the preset state change rate threshold, the state change amplitude between the first comparison result and the second comparison result is smaller, and the target equipment is in a normal running state at the moment, and no abnormal state prompt is required to be output.
In the method for determining whether to output the state abnormality prompt, the amplitude of the state change of the equipment is reflected by calculating the state change rate, so that whether to output the state abnormality prompt is determined, the sensitivity of equipment state detection is improved, and the safety and stability of target equipment are ensured.
In addition, the first state data includes a first key parameter, the second state data includes a second key parameter, the standard state data includes a key parameter interval, and in order to improve accuracy of the output state anomaly prompt, in one embodiment of the present application, another method for determining whether to output the state anomaly prompt is provided, the method includes: if the first key parameter and the second key parameter are not in the key parameter interval, determining whether to output a state abnormality prompt according to the first comparison result and the second comparison result.
If the first key parameter and the second key parameter are not in the key parameter interval, that is, the key parameter continuously exceeds the key parameter interval twice, the state data of the target device is considered to deviate from the standard state data, at the moment, the state of the device is possibly abnormal, and whether to output a state abnormality prompt is determined according to the first comparison result and the second comparison result, so that the effect of early warning is achieved.
If any one of the first key parameter and the second key parameter is in the key parameter interval, the state data of the target device is considered to be not deviated from the standard state data, and at the moment, the state data of the target device is considered to be possibly interfered, but the device is still in a normal running state, and in order to improve the accuracy of detecting the abnormality of the device, the execution of determining whether to output the state abnormality prompt according to the first comparison result and the second comparison result is forbidden, and the state detection is continuously and repeatedly executed.
In the embodiment, by determining whether the first key parameter and the second key parameter are both in the key parameter interval and determining whether to execute the step of outputting the state abnormality prompt, on one hand, the interference of other data is avoided, and the accuracy of outputting the state abnormality prompt is improved; on the other hand, the purpose of detecting the abnormal state of the equipment and early warning in advance is achieved.
Further, as shown in fig. 6, there is provided a method of calculating a state change rate, the method including the steps of:
Wherein, the mean square error can be represented by e, and the current change rate can be represented by gamma.
Wherein, the state change rate may be represented by a, the first comparison result, that is, the real-time value of the state data may be represented by x, and the formula of the state change rate may be represented as:
in addition to this, the first comparison result is not necessarily the data at the time of the first sampling, and in consideration of this, in one embodiment of the present application, as shown in fig. 7, there is provided another method of state detection, including the steps of:
The preset state monitoring time interval is set to ensure that state data is collected in a state that the target device is started and operated so as to detect whether the target device is abnormal or not, and avoid resource waste.
If the first time is the first sampling time in the preset state monitoring time interval, the first comparison result is stored, and when the state data of the next time is acquired, the first comparison result is used as the second comparison result.
If the first time is not the first sampling time in the preset state monitoring time interval, which indicates that the state data acquired at the previous time exists in time sequence, determining whether to output the state abnormality prompt according to the first comparison result and the second comparison result is executed.
In one embodiment of the present application, as shown in fig. 8, a method for detecting a state is provided, which includes the steps of:
In one embodiment of the present application, as shown in fig. 9, a flowchart of another state detection method is provided, and the state detection method according to the embodiment of the present application is exemplarily described. Firstly, acquiring a ground state data set of target equipment under each working condition, acquiring second state data, taking the ground state data set with the maximum similarity with the second state data as standard state data, performing difference comparison on the second state data and the standard state data to obtain a second comparison result, acquiring first state data at the next moment according to time sequence, and performing difference comparison on the first state data and the standard state data to obtain a first comparison result, wherein the first state data comprises a first key parameter, the second state data comprises a second key parameter, and the standard state data comprises a key parameter interval; secondly, judging whether the first key parameter and the second key parameter are beyond a key parameter interval, if not, repeatedly executing real-time data acquisition, and if so, calculating a state change rate according to a first comparison result and a second comparison result; and finally, judging whether the state change rate is larger than a preset state change rate threshold, if not, repeatedly executing real-time data acquisition, and if so, outputting a state abnormality prompt.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, embodiments of the present application also provide a state detection apparatus for implementing the above-mentioned related state detection method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation of one or more embodiments of the state detection device provided below may refer to the limitation of the state detection method hereinabove, and will not be repeated herein.
In one embodiment of the present application, as shown in fig. 10, there is provided a state detection apparatus 800, including: a comparison module 801 and a determination module 802, wherein:
the comparing module 801 is configured to obtain first status data of a plurality of target devices at a first time, and for each target device, compare the first status data with standard status data of the target device, to obtain a first comparison result.
A determining module 802, configured to determine whether to output a status exception prompt according to the first comparison result and the second comparison result.
The second comparison result is obtained by performing difference comparison on the second state data and the standard state data, the second collection time of the second state data is located before the first collection time of the first operation state data in time sequence, and the second collection time and the first collection time are adjacent in time sequence.
In one embodiment, the determining module 802 includes:
and the calculating unit is used for calculating the state change rate according to the first comparison result and the second comparison result.
The first output unit is used for outputting a state abnormality prompt if the state change rate is larger than a preset state change rate threshold value.
And the second output unit is used for prohibiting the output of the abnormal state prompt if the state change rate is smaller than or equal to the preset state change rate threshold value.
In one embodiment, the first state data includes a first key parameter, the second state data includes a second key parameter, the standard state data includes a key parameter interval, and the determining module 802 is specifically configured to: if the first key parameter and the second key parameter are not in the key parameter interval, determining whether to output a state abnormality prompt according to the first comparison result and the second comparison result.
In one embodiment, the computing unit is specifically configured to: calculating a mean square error according to the first comparison result and the standard state data, and calculating a current change rate according to the first comparison result and the second comparison result; and calculating the state change rate according to the first comparison result, the mean square error and the current change rate.
In one embodiment, the preset state change rate threshold is related to a preset absolute alarm threshold, or the preset state change rate threshold is related to an average change rate corresponding to the first state data and the second state data.
Referring to fig. 11, another state detection apparatus 900 provided in an embodiment of the present application is shown, where the state detection apparatus 900 includes, in addition to the respective modules included in the state detection apparatus 800, an obtaining module 803, a calculating module 804, a saving module 805, and an executing module 806.
In one embodiment, the obtaining module 803 is configured to obtain a ground state data set of the target device under each working condition, where the ground state data set includes state data of normal operation of the target device under a corresponding working condition.
The calculating module 804 is configured to calculate a similarity between the second state data and each of the ground state data sets, and use the state data in the target ground state data set with the greatest similarity as the standard state data.
In one embodiment, the obtaining module 803 is specifically configured to: acquiring historical state data corresponding to target equipment; and dividing the historical state data according to each working condition to obtain each ground state data set.
In one embodiment, the storing module 805 is configured to store the first comparison result if the first time is a first sampling time in the preset status monitoring time interval.
The executing module 806 is configured to execute determining whether to output the abnormal state prompt according to the first comparison result and the second comparison result if the first time is not the first sampling time in the preset state monitoring time interval.
The respective modules in the above-described state detection device may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, and the internal structure of which may be as shown in fig. 12. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is for storing data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of state detection.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure thereof may be as shown in fig. 13. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a method of state detection. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structures shown in fig. 12 or 13 are merely block diagrams of portions of structures related to the aspects of the present application and are not intended to limit the computer devices to which the aspects of the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or may have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of:
acquiring first state data of a plurality of target devices at a first moment, and for each target device, performing difference comparison on the first state data and standard state data of the target device to obtain a first comparison result; determining whether to output a state abnormality prompt according to the first comparison result and the second comparison result; the second comparison result is obtained by performing difference comparison on the second state data and the standard state data, the second collection time of the second state data is located before the first collection time of the first operation state data in time sequence, and the second collection time and the first collection time are adjacent in time sequence.
In one embodiment, the processor, when executing the computer program, performs the steps of: calculating a state change rate according to the first comparison result and the second comparison result; if the state change rate is greater than a preset state change rate threshold, outputting a state abnormality prompt; and if the state change rate is smaller than or equal to the preset state change rate threshold value, prohibiting the output of the state abnormality prompt.
In one embodiment, the first state data includes a first key parameter, the second state data includes a second key parameter, the standard state data includes a key parameter interval, and the processor implements the following steps when executing the computer program: if the first key parameter and the second key parameter are not in the key parameter interval, determining whether to output a state abnormality prompt according to the first comparison result and the second comparison result.
In one embodiment, the processor, when executing the computer program, performs the steps of: calculating a mean square error according to the first comparison result and the standard state data, and calculating a current change rate according to the first comparison result and the second comparison result; and calculating the state change rate according to the first comparison result, the mean square error and the current change rate.
In one embodiment, the preset state change rate threshold is related to a preset absolute alarm threshold, or the preset state change rate threshold is related to an average change rate corresponding to the first state data and the second state data.
In one embodiment, the processor, when executing the computer program, performs the steps of: acquiring a ground state data set of target equipment under each working condition, wherein the ground state data set comprises state data of the target equipment in normal operation under the corresponding working condition; and calculating the similarity between the second state data and each ground state data set, and taking the state data in the target ground state data set with the maximum similarity as standard state data.
In one embodiment, the processor, when executing the computer program, performs the steps of: acquiring historical state data corresponding to target equipment; and dividing the historical state data according to each working condition to obtain each ground state data set.
In one embodiment, the processor, when executing the computer program, performs the steps of: if the first moment is the first sampling moment in the preset state monitoring time interval, a first comparison result is stored; if the first time is not the first sampling time in the preset state monitoring time interval, determining whether to output the state abnormality prompt according to the first comparison result and the second comparison result.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring first state data of a plurality of target devices at a first moment, and for each target device, performing difference comparison on the first state data and standard state data of the target device to obtain a first comparison result; determining whether to output a state abnormality prompt according to the first comparison result and the second comparison result; the second comparison result is obtained by performing difference comparison on the second state data and the standard state data, the second collection time of the second state data is located before the first collection time of the first operation state data in time sequence, and the second collection time and the first collection time are adjacent in time sequence.
In one embodiment, the computer program when executed by a processor performs the steps of: calculating a state change rate according to the first comparison result and the second comparison result; if the state change rate is greater than a preset state change rate threshold, outputting a state abnormality prompt; and if the state change rate is smaller than or equal to the preset state change rate threshold value, prohibiting the output of the state abnormality prompt.
In one embodiment, the first state data includes a first key parameter, the second state data includes a second key parameter, the standard state data includes a key parameter interval, and the computer program when executed by the processor implements the steps of: if the first key parameter and the second key parameter are not in the key parameter interval, determining whether to output a state abnormality prompt according to the first comparison result and the second comparison result.
In one embodiment, the computer program when executed by a processor performs the steps of: calculating a mean square error according to the first comparison result and the standard state data, and calculating a current change rate according to the first comparison result and the second comparison result; and calculating the state change rate according to the first comparison result, the mean square error and the current change rate.
In one embodiment, the preset state change rate threshold is related to a preset absolute alarm threshold, or the preset state change rate threshold is related to an average change rate corresponding to the first state data and the second state data.
In one embodiment, the computer program when executed by a processor performs the steps of: acquiring a ground state data set of target equipment under each working condition, wherein the ground state data set comprises state data of the target equipment in normal operation under the corresponding working condition; and calculating the similarity between the second state data and each ground state data set, and taking the state data in the target ground state data set with the maximum similarity as standard state data.
In one embodiment, the computer program when executed by a processor performs the steps of: acquiring historical state data corresponding to target equipment; and dividing the historical state data according to each working condition to obtain each ground state data set.
In one embodiment, the computer program when executed by a processor performs the steps of: if the first moment is the first sampling moment in the preset state monitoring time interval, a first comparison result is stored; if the first time is not the first sampling time in the preset state monitoring time interval, determining whether to output the state abnormality prompt according to the first comparison result and the second comparison result.
In one embodiment, a program product is provided comprising a computer program which, when executed by a processor, performs the steps of:
acquiring first state data of a plurality of target devices at a first moment, and for each target device, performing difference comparison on the first state data and standard state data of the target device to obtain a first comparison result; determining whether to output a state abnormality prompt according to the first comparison result and the second comparison result; the second comparison result is obtained by performing difference comparison on the second state data and the standard state data, the second collection time of the second state data is located before the first collection time of the first operation state data in time sequence, and the second collection time and the first collection time are adjacent in time sequence.
In one embodiment, the computer program when executed by a processor performs the steps of: calculating a state change rate according to the first comparison result and the second comparison result; if the state change rate is greater than a preset state change rate threshold, outputting a state abnormality prompt; and if the state change rate is smaller than or equal to the preset state change rate threshold value, prohibiting the output of the state abnormality prompt.
In one embodiment, the first state data includes a first key parameter, the second state data includes a second key parameter, and the standard state data includes a key parameter interval, and the computer program when executed by the processor performs the steps of: if the first key parameter and the second key parameter are not in the key parameter interval, determining whether to output a state abnormality prompt according to the first comparison result and the second comparison result.
In one embodiment, the computer program when executed by a processor performs the steps of: calculating a mean square error according to the first comparison result and the standard state data, and calculating a current change rate according to the first comparison result and the second comparison result; and calculating the state change rate according to the first comparison result, the mean square error and the current change rate.
In one embodiment, the preset state change rate threshold is related to a preset absolute alarm threshold, or the preset state change rate threshold is related to an average change rate corresponding to the first state data and the second state data.
In one embodiment, the computer program when executed by a processor performs the steps of: acquiring a ground state data set of target equipment under each working condition, wherein the ground state data set comprises state data of the target equipment in normal operation under the corresponding working condition; and calculating the similarity between the second state data and each ground state data set, and taking the state data in the target ground state data set with the maximum similarity as standard state data.
In one embodiment, the computer program when executed by a processor performs the steps of: acquiring historical state data corresponding to target equipment; and dividing the historical state data according to each working condition to obtain each ground state data set.
In one embodiment, the computer program when executed by a processor performs the steps of: if the first moment is the first sampling moment in the preset state monitoring time interval, a first comparison result is stored; if the first time is not the first sampling time in the preset state monitoring time interval, determining whether to output the state abnormality prompt according to the first comparison result and the second comparison result.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.
Claims (12)
1. A method of state detection, the method comprising:
acquiring first state data of a plurality of target devices at a first moment, and for each target device, performing difference comparison on the first state data and standard state data of the target device to obtain a first comparison result;
determining whether to output a state abnormality prompt according to the first comparison result and the second comparison result;
The second comparison result is obtained by performing difference comparison on second state data and the standard state data, the second collection time of the second state data is located before the first collection time of the first operation state data in time sequence, and the second collection time and the first collection time are adjacent in time sequence.
2. The method of claim 1, wherein the determining whether to output a status exception hint based on the first comparison result and the second comparison result comprises:
calculating a state change rate according to the first comparison result and the second comparison result;
outputting the state abnormality prompt if the state change rate is greater than a preset state change rate threshold;
and if the state change rate is smaller than or equal to the preset state change rate threshold, prohibiting the output of the state abnormality prompt.
3. The method according to claim 2, wherein the first state data includes a first key parameter, the second state data includes a second key parameter, the standard state data includes a key parameter interval, and the determining whether to output the abnormal state prompt according to the first comparison result and the second comparison result includes:
And if the first key parameter and the second key parameter are not in the key parameter interval, determining whether to output the state abnormality prompt according to the first comparison result and the second comparison result.
4. A method according to claim 3, wherein said calculating a state change rate from said first comparison result and said second comparison result comprises:
calculating a mean square error according to the first comparison result and the standard state data, and calculating a current change rate according to the first comparison result and the second comparison result;
and calculating a state change rate according to the first comparison result, the mean square error and the current change rate.
5. The method of claim 2, wherein the preset state change rate threshold is related to a preset absolute alarm threshold or wherein the preset state change rate threshold is related to an average change rate corresponding to the first state data and the second state data.
6. The method according to claim 1, wherein the method further comprises:
acquiring a ground state data set of the target equipment under each working condition, wherein the ground state data set comprises state data of the normal operation of the target equipment under the corresponding working condition;
And calculating the similarity between the second state data and each ground state data set, and taking the state data in the target ground state data set with the maximum similarity as the standard state data.
7. The method of claim 6, wherein the obtaining the ground state data set of the target device under each working condition comprises:
acquiring historical state data corresponding to the target equipment;
and dividing the historical state data according to the working conditions to obtain the ground state data sets.
8. The method according to claim 1, wherein the method further comprises:
if the first moment is the first sampling moment in the preset state monitoring time interval, the first comparison result is stored;
and if the first time is not the first sampling time in the preset state monitoring time interval, executing the step of determining whether to output a state abnormality prompt according to the first comparison result and the second comparison result.
9. A condition detection apparatus, the apparatus comprising:
the comparison module is used for acquiring first state data of a plurality of target devices at a first moment, and for each target device, performing difference comparison on the first state data and standard state data of the target device to obtain a first comparison result;
The determining module is used for determining whether to output a state abnormality prompt according to the first comparison result and the second comparison result;
the second comparison result is obtained by performing difference comparison on second state data and the standard state data, the second collection time of the second state data is located before the first collection time of the first operation state data in time sequence, and the second collection time and the first collection time are adjacent in time sequence.
10. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 8 when the computer program is executed.
11. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 8.
12. A computer program product comprising a computer program, characterized in that the computer program, when executed by a processor, implements the steps of the method of any one of claims 1 to 8.
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