CN112019009A - System abnormal operation processing method, processing device and computer readable storage medium - Google Patents
System abnormal operation processing method, processing device and computer readable storage medium Download PDFInfo
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- CN112019009A CN112019009A CN202010896882.XA CN202010896882A CN112019009A CN 112019009 A CN112019009 A CN 112019009A CN 202010896882 A CN202010896882 A CN 202010896882A CN 112019009 A CN112019009 A CN 112019009A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02M—APPARATUS FOR CONVERSION BETWEEN AC AND AC, BETWEEN AC AND DC, OR BETWEEN DC AND DC, AND FOR USE WITH MAINS OR SIMILAR POWER SUPPLY SYSTEMS; CONVERSION OF DC OR AC INPUT POWER INTO SURGE OUTPUT POWER; CONTROL OR REGULATION THEREOF
- H02M1/00—Details of apparatus for conversion
- H02M1/32—Means for protecting converters other than automatic disconnection
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02M—APPARATUS FOR CONVERSION BETWEEN AC AND AC, BETWEEN AC AND DC, OR BETWEEN DC AND DC, AND FOR USE WITH MAINS OR SIMILAR POWER SUPPLY SYSTEMS; CONVERSION OF DC OR AC INPUT POWER INTO SURGE OUTPUT POWER; CONTROL OR REGULATION THEREOF
- H02M5/00—Conversion of ac power input into ac power output, e.g. for change of voltage, for change of frequency, for change of number of phases
Abstract
The invention provides a system abnormal operation processing method, a processing device and a computer readable storage medium, wherein the system abnormal operation processing method comprises the following steps: periodically acquiring parameter data; determining a comparison result of the parameter data in the current period and the parameter data in the previous period; and outputting a control signal according to the comparison result. The parameter data in the current period and the parameter data in the previous period are periodically acquired and compared, so that the worst protection measures can be effectively prevented from being triggered by the system, the system can be timely processed when abnormity occurs, the power semiconductor device in the power electronic converter is prevented from being permanently damaged, the fault rate of the system is reduced, and the running stability of the system is improved.
Description
Technical Field
The invention belongs to the technical field of air conditioner frequency conversion equipment, and particularly relates to a system abnormal operation processing method, a system abnormal operation processing device and a computer readable storage medium.
Background
The power electronic converter is designed with the worst protection measures aiming at the safe working area of the power semiconductor device, when the system is in the irreversible worst working condition, the system is protected to output abnormal signals, the system stops running, and the stress impact when the system is partially failed can cause the power semiconductor device in the power electronic converter to be permanently damaged.
Disclosure of Invention
The present invention is directed to solving one of the technical problems of the prior art or the related art.
In view of this, the first aspect of the present invention provides a method for processing system abnormal operation, including: periodically acquiring parameter data; determining a comparison result of the parameter data in the current period and the parameter data in the previous period; and outputting a control signal according to the comparison result.
The method for processing the abnormal operation of the system, provided by the invention, comprises the steps of firstly periodically obtaining parameter data, then determining a comparison result of the parameter data in the current period and the parameter data in the previous period, and then outputting a corresponding control signal according to the comparison result. In particular, in order to improve the accuracy of the detection process, or to ensure that the operating state of the system is detected in real time, it is necessary to continuously acquire parameter data, i.e. there is no time interval between adjacent cycles. Or the parameter data can be continuously acquired, and then the continuously acquired parameter data is divided into parameter data in a plurality of periods according to a preset rule. The parameter data are continuously and periodically acquired, so that analysis and judgment can be performed through the acquired parameter data, and the abnormal operation of the system can be timely found.
Specifically, in order to determine whether the system operates abnormally, the parameter data in the current period and the parameter data in the previous period need to be compared, and it can be understood that if the system operates stably, the parameter data should be stable and unchanged, or change less, or change in a stable and linear trend, and if the parameter data in the current period and the parameter data in the previous period change suddenly or the linear trend changes suddenly, the system is indicated to have operated abnormally, and at this time, corresponding measures are taken for the abnormal operation of the system. For example, the system can inform the staff of finding the abnormal operation of the system and remind the staff of timely processing or self-adjusting the system, so that the problem of the abnormal operation of the system can be solved in time.
If the comparison result of the parameter data in the current period and the parameter data in the previous period is that the system normally operates, a signal for the system to continue to operate can be output. When the comparison result of the parameter data in the current period and the parameter data in the previous period is abnormal operation of the system, a reminding worker can be output to process a signal or a system self-adjusting signal, so that the abnormality of the system can be timely processed. The parameter data in the current period and the parameter data in the previous period are periodically acquired and compared, so that the worst protection measures can be effectively prevented from being triggered by the system, the system can be timely processed when abnormity occurs, the power semiconductor device in the power electronic converter is prevented from being permanently damaged, the fault rate of the system is reduced, and the running stability of the system is improved.
In addition, according to the abnormal operation processing method in the above technical solution provided by the present invention, the following additional technical features may also be provided:
in a possible design, the step of determining a comparison result between the parameter data in the current period and the parameter data in the previous period specifically includes: and determining the difference value of the parameter data in the current period and the parameter data in the previous period.
In the design, it is specifically defined that the comparison result between the parameter data in the current period and the parameter data in the previous period is realized by determining the difference between the parameter data in the current period and the parameter data in the previous period. By calculating the difference value between the parameter data in the current period and the parameter data in the previous period, whether the parameter data in the current period has sudden change or the linear change trend has sudden change compared with the parameter data in the previous period can be obtained, the abnormal operation of the system is indicated, and corresponding countermeasures are timely taken for the abnormal operation of the system. For example, the system can inform the staff of finding the abnormal operation of the system, remind the staff of timely processing, or carry out self-adjustment on the system, so that the problem of the abnormal operation of the system can be solved in time.
For example, if the system is in steady operation, the difference between the parameter data in the current period and the parameter data in the previous period should be zero or small, or the parameter data of the system changes in a linear trend, and the difference between the parameter data in the current period and the parameter data in the previous period calculated multiple times should also be a fixed value or a small value. By calculating the difference between the parameter data in the current period and the parameter data in the previous period, the system can output a signal for continuously operating the system, or output a signal for reminding a worker to process the signal or self-adjusting the system. Therefore, the abnormity of the system can be processed in time. The parameter data in the current period and the parameter data in the previous period are periodically acquired and compared, so that the worst protection measures can be effectively prevented from being triggered by the system, the system can be timely processed when abnormity occurs, the power semiconductor device in the power electronic converter is prevented from being permanently damaged, the fault rate of the system is reduced, and the running stability of the system is improved.
In a possible design, the step of periodically acquiring the parameter data specifically includes: periodically acquiring at least two parameter data; the step of determining the difference between the parameter data in the current period and the parameter data in the previous period specifically includes: determining a first statistical value of at least two parameter data in the current period; determining a second statistical value of the at least two parameter data in the last period; a difference between the first statistical value and the second statistical value is determined.
In the design, when parameter data is acquired, specifically, at least two pieces of parameter data are acquired in each period, and the more the parameter data is acquired in each period, the more the comparison accuracy between the parameter data in the current period and the parameter data in the previous period can be improved, and obviously, if only one piece of parameter data is acquired in each period, more uncertainty exists. After at least two parameter data in the current period are obtained, the at least two parameter data in the current period are summarized, and then a first statistical value is obtained according to the at least two parameter data in the current period. After the at least two parameter data in the previous period are obtained, the at least two parameter data in the previous period are summarized, and then a second statistical value is obtained according to the at least two parameter data in the previous period. And calculating the difference between the first statistical value and the second statistical value to obtain the change degrees of the at least two parameter data in the current period and the at least two parameter data in the previous period, so as to determine whether the system runs abnormally. The invention collects at least two parameter data to obtain a statistic value, because the change conditions of the parameter data in the current period and the parameter data in the previous period can be more clearly obtained, if the parameter data in the current period and the parameter data in the previous period are respectively compared, the workload of the comparison process is obviously increased, and the speed of obtaining the comparison result is slower, so that the abnormal operation condition is not easy to find in time.
In one possible design, the first statistical value includes any one of: variance of at least two parameter data in the current period, standard deviation of at least two parameter data in the current period or average value of at least two parameter data in the current period; the second statistical value includes any one of: a variance of the at least two parameter data in a previous period, a standard deviation of the at least two parameter data in a previous period, or an average of the at least two parameter data in a previous period.
In this design, the first statistical value may be a variance of at least two parameter data acquired in the current period, or a standard deviation of at least two parameter data acquired in the current period, or an average of at least two parameter data acquired in the current period.
The second statistical value may be a variance of the at least two parameter data acquired in the previous period, or a standard deviation of the at least two parameter data acquired in the previous period, or an average of the at least two parameter data acquired in the previous period.
If the first statistical value and the second statistical value are variance or standard deviation, the at least two parameter data acquired in each period are summarized as variance or standard deviation in order to determine the degree of dispersion of the at least two parameter data acquired in each period, for example, the parameter data are ac current data or ac voltage data, and when the system is in steady operation, the degree of dispersion of the ac current data or ac voltage data in each period should be constant or have small variation tendency, so calculating the variance of the at least two parameter data acquired in the previous period, that is, the first statistical value, the variance of the at least two parameter data acquired in one period, that is, the second statistical value, and calculating the difference between the first statistical value and the second statistical value can determine whether the degree of dispersion of the at least two parameter data acquired in the current period is consistent with or has small difference between the degree of dispersion of the at least two parameter data acquired in the previous period, if the difference is large, the system is in abnormal operation, so that the problem of abnormal operation of the system can be solved in time.
The first statistical value and the second statistical value may also be average values, and the summarizing of the at least two parameter data acquired in each period as an average value is to determine whether the at least two parameter data acquired in each period are on a predetermined average line, for example, the parameter data is temperature data, when the system is in steady operation, the at least two temperature data in each period should be the same value or differ a smaller value, so that calculating the average value of the at least two temperature data acquired in the previous period, that is, the first statistical value, calculating the variance of the at least two temperature data acquired in the previous period, that is, the second statistical value, calculating the difference between the first statistical value and the second statistical value can determine whether the at least two parameter data acquired in the current period are consistent with or differ a smaller value from the at least two parameter data acquired in the previous period, if the at least two parameter data acquired in the current period are consistent with or differ from a smaller, the system is indicated to run stably, and if the difference is large, the system is indicated to run abnormally, so that the problem of abnormal running of the system can be solved in time.
In a possible design, the step of outputting the control signal according to the comparison result specifically includes: and determining that the difference value is greater than a first preset threshold value, and outputting a first control signal.
In the design, even if the system runs stably, the parameter data of the system changes slightly, if the first statistical value and the second statistical value change, a worker is reminded to process or perform self-processing, obviously, unnecessary adjusting processes are increased, and the burden of the system is increased. Therefore, whether the difference value between the first statistical value and the second statistical value is larger than a first preset threshold value or not is limited to be judged, when the difference value is larger than the first preset threshold value, the fact that the change of at least two parameter data in the current period is larger than the change of at least two parameter data acquired in the previous period is shown, at the moment, a first control signal needs to be output to adjust the operation condition of the parameters of the system, the worst protection measures can be effectively prevented from being triggered by the system, the system can be timely processed when the system is abnormal, the power semiconductor device in the power electronic converter is prevented from being permanently damaged, the fault rate of the system is reduced, and the operation stability of the system is improved.
In a possible design, the step of outputting the control signal according to the comparison result specifically includes: determining that the difference is greater than a first preset threshold; the time length of the difference value larger than the first preset threshold value is larger than the preset time length; outputting a first control signal.
In the design, even if the system runs stably, the parameter data of the system changes slightly, if the first statistical value and the second statistical value change, a worker is reminded to process or perform self-processing, obviously, unnecessary adjusting processes are increased, and the burden of the system is increased. Moreover, even if the difference between the first statistical value and the second statistical value is greater than the first preset threshold, the first preset threshold may be exceeded instantaneously due to unstable system operation, and the data parameters of normal operation may be restored immediately. Therefore, the invention limits whether the difference value between the first statistical value and the second statistical value is greater than the first preset threshold value, judges whether the aberration of the difference value greater than the first preset threshold value is greater than the preset time length, and when the difference value is greater than the first preset threshold value, the time length of the difference value greater than the first preset threshold value is greater than the preset time length, the first control signal is required to be output to adjust the operation condition of the parameters of the system, thereby effectively avoiding the worst protective measures from being triggered by the system, timely processing the system when the system is abnormal, avoiding the permanent damage of the power semiconductor device in the power electronic converter, reducing the fault rate of the system and improving the operation stability of the system.
In a possible design, the step of outputting a control signal according to the comparison result further includes: determining that the difference value is larger than a second preset threshold value, and outputting a second control signal; the first control signal comprises an operating parameter adjustment signal; the second control signal comprises at least one or a combination of the following: warning signal, shut down signal are less than rated parameter operation signal.
In the design, if the difference between the first statistical value and the second statistical value is greater than the second preset threshold value, and the second preset threshold value is greater than the first preset threshold value, it is indicated that the difference between the first statistical value and the second statistical value is relatively large, and at this time, the abnormal operation condition of the system is relatively serious, and it is necessary to remind a worker to handle or perform self-adjustment as soon as possible. Specifically, when the difference between the first statistical value and the second statistical value is greater than the first preset threshold and smaller than the second preset threshold, it is indicated that the abnormal operation of the system is not serious, so that parameter adjustment may be performed, for example, when voltage fluctuates, voltage data may be adjusted by increasing bus voltage, or when it is detected that temperature data increases, the operating power of the fan may be increased, and the heat dissipation effect is improved, that is, at this time, the operating parameter of the power device may be adjusted by the system to adjust the system to the normal operation, and the difference between the first statistical value and the second statistical value is recovered to be lower than the first preset threshold. When the difference value between the first statistical value and the second statistical value is greater than a second preset threshold value, it is indicated that the abnormal operation condition of the system is relatively serious, and at this time, a warning signal needs to be sent to remind a worker to process the abnormal condition as soon as possible, or a shutdown signal is directly sent to prevent the system from continuing to operate and avoid the damage of the device, or the power device can be reduced to operate below a rated parameter, for example, the power device operates below a rated power and is not easily damaged when the power device operates at a low power. Through the mode, the abnormity of the system can be timely processed, the power semiconductor device in the power electronic converter is prevented from being permanently damaged, the fault rate of the system is reduced, and the running stability of the system is improved.
Of course, it may also be determined whether the time length of the difference between the first statistical value and the second statistical value exceeds a preset time length.
In one possible design, the parametric data includes at least one or a combination of the following; electromagnetic data such as current data, voltage data, temperature data, humidity data, pressure data, and temperature data.
In the design, the parameter data may be one or more, for example, the parameter data is ac current data or ac voltage data, when the system is in steady operation, the dispersion degree of the ac current data or ac voltage data in each period should be fixed or have a small variation trend, so calculating the variance of at least two parameter data acquired in the previous period, that is, a first statistical value, calculating the variance of at least two parameter data acquired in the previous period, that is, a second statistical value, calculating the difference between the first statistical value and the second statistical value can obtain whether the dispersion degree of at least two parameter data acquired in the current period is consistent with or has a small difference with the dispersion degree of at least two parameter data acquired in the previous period, if the consistency or the difference is small, the system is in steady operation, if the difference is large, the system is in abnormal operation, so as to solve the problem of abnormal operation of the system in time.
Or the parameter data is temperature data, when the system operates stably, at least two temperature data in each period should be the same value or have a smaller difference value, so that the average value of at least two temperature data acquired in the previous period, namely a first statistical value, the variance of at least two temperature data acquired in the previous period, namely a second statistical value, is calculated, and the difference value between the first statistical value and the second statistical value is calculated, so that whether the at least two parameter data acquired in the current period are consistent with or have a smaller difference value with the at least two parameter data acquired in the previous period can be obtained, if so, the system operates stably, and if so, the system operates abnormally, so that the problem of abnormal operation of the system can be solved timely.
The parameter data is electromagnetic data which can be quantized, various parameter data can be acquired at the same time, and the condition for adjusting the system is further limited, for example, three kinds of parameter data are acquired at the same time, three kinds of parameter data are acquired in the current period, three kinds of parameter data are acquired in the last period, the difference values of the three kinds of parameter data are respectively calculated, and if the difference value of the three kinds of parameter data which is not less than two kinds of parameter data exceeds a preset threshold value, a worker is reminded to process or the system is self-adjusted.
In one possible design, the step of periodically acquiring the parameter data further includes: the period interval is set according to the type of the parameter data.
In the design, the setting of the period area can be in various modes, specifically, the period interval can be set according to the type of parameter data, specifically, if the parameter data is temperature data, a timing period can be set, if the parameter data is current data or voltage data, an electrical frequency period can be set, the period interval can be set pertinently according to the type of the parameter data, the accuracy of the detection process and the timeliness of the detection process are effectively improved, the system can be processed in time when abnormality occurs, the power semiconductor device in the power electronic converter is prevented from being permanently damaged, the fault rate of the system is reduced, and the stability of the operation of the system is improved.
In one possible design, based on the difference being greater than the first preset threshold, the parameter data in the current period and the parameter data in the previous period are stored.
In the design, when the difference value between the first statistical value and the second statistical value is greater than a first preset threshold value, the situation that the system has abnormal operation is described, a worker can be reminded to carry out processing or system self-adjustment, and in order to facilitate the worker to analyze and experiment parameter data when the system has abnormal operation, the parameter data in the current period and the parameter data in the previous period when the system has abnormal operation are stored, and the worker calls the parameter processing to carry out analysis and statistics, so that the system or a power device can be optimized, the situation that the system is similar again is avoided, the power semiconductor device in the power electronic converter is prevented from being permanently damaged, the fault rate of the system is reduced, and the stability of the system operation is improved.
A second aspect of the present invention provides a system abnormal operation processing apparatus, including: memory, processor and computer programs. A computer program stored on the memory and executable on the processor; when executed by a processor, the computer program implements the steps of the system abnormal operation processing method in any of the above technical solutions. Therefore, the system abnormal operation processing device provided by the invention has all the benefits of the system abnormal operation processing method provided by any one of the technical schemes.
A third aspect of the present invention provides a computer-readable storage medium, where a system abnormal operation processing program is stored on the computer-readable storage medium, and when the system abnormal operation processing program is executed by a processor, the steps of the system abnormal operation processing method in any of the above technical solutions are implemented. Therefore, the computer-readable storage medium provided by the invention has all the benefits of the system abnormal operation processing method provided by any one of the technical schemes.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a flow diagram illustrating a system abnormal operation handling method according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating a system abnormal operation handling method according to another embodiment of the present invention;
FIG. 3 is a flow chart illustrating a system abnormal operation handling method according to yet another embodiment of the present invention;
FIG. 4 is a flow chart illustrating a system abnormal operation handling method according to yet another embodiment of the present invention;
FIG. 5 is a flow chart illustrating a system abnormal operation handling method according to yet another embodiment of the present invention;
FIG. 6 is a flow chart illustrating a system abnormal operation handling method according to yet another embodiment of the present invention;
FIG. 7 is a flow chart illustrating a system abnormal operation handling method according to yet another embodiment of the present invention;
FIG. 8 is a flow chart illustrating a system abnormal operation handling method according to yet another embodiment of the present invention;
FIG. 9 shows a schematic block diagram of a system abnormal operation handling apparatus of an embodiment of the present invention;
FIG. 10 is a flow chart illustrating a system abnormal operation handling method according to yet another embodiment of the present invention;
FIG. 11 is a flow chart illustrating a system abnormal operation handling method according to yet another embodiment of the present invention;
FIG. 12 shows a simulation schematic of bus voltage for one embodiment of the present invention;
FIG. 13 shows a simulation of bus voltage for another embodiment of the present invention;
FIG. 14 shows a simulation schematic of bus voltage for yet another embodiment of the present invention;
FIG. 15 shows a simulation of a current signal for one embodiment of the present invention.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.
A system abnormal operation processing method and a system abnormal operation processing apparatus provided according to some embodiments of the present invention are described below with reference to fig. 1 to 15.
The first embodiment is as follows:
as shown in fig. 1, an embodiment of the first aspect of the present invention provides a method for processing system abnormal operation, including:
step S102, periodically acquiring parameter data;
step S104, determining a comparison result of the parameter data in the current period and the parameter data in the previous period;
and step S106, outputting a control signal according to the comparison result.
The method for processing abnormal operation of the system provided by this embodiment first obtains parameter data periodically, then determines a comparison result between the parameter data in the current period and the parameter data in the previous period, and outputs a corresponding control signal according to the comparison result. In particular, in order to improve the accuracy of the detection process, or to ensure that the operating state of the system is detected in real time, it is necessary to continuously acquire parameter data, i.e. there is no time interval between adjacent cycles. Or the parameter data can be continuously acquired, and then the continuously acquired parameter data is divided into parameter data in a plurality of periods according to a preset rule. The parameter data are continuously and periodically acquired, so that analysis and judgment can be performed through the acquired parameter data, and the abnormal operation of the system can be timely found.
Specifically, in order to determine whether the system operates abnormally, the parameter data in the current period and the parameter data in the previous period need to be compared, and it can be understood that if the system operates stably, the parameter data should be stable and unchanged, or change less, or change in a stable and linear trend, and if the parameter data in the current period and the parameter data in the previous period change suddenly or the linear trend changes suddenly, the system is indicated to have operated abnormally, and at this time, corresponding measures are taken for the abnormal operation of the system. For example, the system can inform the staff of finding the abnormal operation of the system and remind the staff of timely processing or self-adjusting the system, so that the problem of the abnormal operation of the system can be solved in time.
If the comparison result of the parameter data in the current period and the parameter data in the previous period is that the system normally operates, a signal for the system to continue to operate can be output. When the comparison result of the parameter data in the current period and the parameter data in the previous period is abnormal operation of the system, a reminding worker can be output to process a signal or a system self-adjusting signal, so that the abnormality of the system can be timely processed. The parameter data in the current period and the parameter data in the previous period are periodically acquired and compared, so that the worst protection measures can be effectively prevented from being triggered by the system, the system can be timely processed when abnormity occurs, the power semiconductor device in the power electronic converter is prevented from being permanently damaged, the fault rate of the system is reduced, and the running stability of the system is improved.
The method comprises the steps of processing periodic signals by utilizing electromagnetic signals which can be obtained from a power electronic converter, comparing signals of front and back periods, taking the comparison result as a judgment basis of an abnormal state, and pre-judging and processing the abnormal state in advance before triggering irreversible worst protection possibly according to the judgment result, so that the number of times of stress impact of triggering the worst protection on a system is reduced, and the service life of the power electronic converter is prolonged.
Example two:
on the basis of the first embodiment, the system abnormal operation processing method comprises the following steps:
as shown in fig. 2, step S202, periodically acquiring parameter data;
step S204, determining the difference value between the parameter data in the current period and the parameter data in the previous period;
and step S206, outputting a control signal according to the difference.
The step of determining a comparison result between the parameter data in the current period and the parameter data in the previous period specifically includes: and determining the difference value of the parameter data in the current period and the parameter data in the previous period.
In this embodiment, it is specifically defined that the comparison result between the parameter data in the current period and the parameter data in the previous period is implemented by determining a difference value between the parameter data in the current period and the parameter data in the previous period. By calculating the difference value between the parameter data in the current period and the parameter data in the previous period, whether the parameter data in the current period has sudden change or the linear change trend has sudden change compared with the parameter data in the previous period can be obtained, the abnormal operation of the system is indicated, and corresponding countermeasures are timely taken for the abnormal operation of the system. For example, the system can inform the staff of finding the abnormal operation of the system, remind the staff of timely processing, or carry out self-adjustment on the system, so that the problem of the abnormal operation of the system can be solved in time.
For example, if the system is in steady operation, the difference between the parameter data in the current period and the parameter data in the previous period should be zero or small, or the parameter data of the system changes in a linear trend, and the difference between the parameter data in the current period and the parameter data in the previous period calculated multiple times should also be a fixed value or a small value. By calculating the difference between the parameter data in the current period and the parameter data in the previous period, the system can output a signal for continuously operating the system, or output a signal for reminding a worker to process the signal or self-adjusting the system. Therefore, the abnormity of the system can be processed in time. The parameter data in the current period and the parameter data in the previous period are periodically acquired and compared, so that the worst protection measures can be effectively prevented from being triggered by the system, the system can be timely processed when abnormity occurs, the power semiconductor device in the power electronic converter is prevented from being permanently damaged, the fault rate of the system is reduced, and the running stability of the system is improved.
Further, the system abnormal operation processing method comprises the following steps:
as shown in fig. 3, step S302, at least two parameter data are acquired periodically;
step S304, determining a first statistical value of at least two parameter data in the current period;
step S306, determining a second statistical value of at least two parameter data in the previous period;
step S308, determining the difference value between the first statistical value and the second statistical value;
in step S310, a control signal is output according to the difference.
The step of periodically acquiring parameter data specifically includes: periodically acquiring at least two parameter data; the step of determining the difference between the parameter data in the current period and the parameter data in the previous period specifically includes: determining a first statistical value of at least two parameter data in the current period; determining a second statistical value of the at least two parameter data in the last period; a difference between the first statistical value and the second statistical value is determined.
When parameter data is acquired, specifically, at least two pieces of parameter data are acquired in each period, and the more the parameter data is acquired in each period, the more the comparison accuracy between the parameter data in the current period and the parameter data in the previous period can be improved. After at least two parameter data in the current period are obtained, the at least two parameter data in the current period are summarized, and then a first statistical value is obtained according to the at least two parameter data in the current period. After the at least two parameter data in the previous period are obtained, the at least two parameter data in the previous period are summarized, and then a second statistical value is obtained according to the at least two parameter data in the previous period. And calculating the difference between the first statistical value and the second statistical value to obtain the change degrees of the at least two parameter data in the current period and the at least two parameter data in the previous period, so as to determine whether the system runs abnormally. The invention collects at least two parameter data to obtain a statistic value, because the change conditions of the parameter data in the current period and the parameter data in the previous period can be more clearly obtained, if the parameter data in the current period and the parameter data in the previous period are respectively compared, the workload of the comparison process is obviously increased, and the speed of obtaining the comparison result is slower, so that the abnormal operation condition is not easy to find in time.
Further, the first statistical value includes any one of: variance of at least two parameter data in the current period, standard deviation of at least two parameter data in the current period or average value of at least two parameter data in the current period; the second statistical value includes any one of: a variance of the at least two parameter data in a previous period, a standard deviation of the at least two parameter data in a previous period, or an average of the at least two parameter data in a previous period.
The first statistical value may be a variance of at least two parameter data acquired in a current period, or a standard deviation of at least two parameter data acquired in the current period, or may be an average of at least two parameter data acquired in the current period.
The second statistical value may be a variance of the at least two parameter data acquired in the previous period, or a standard deviation of the at least two parameter data acquired in the previous period, or an average of the at least two parameter data acquired in the previous period.
If the first statistical value and the second statistical value are variance or standard deviation, the at least two parameter data acquired in each period are summarized as variance or standard deviation in order to determine the degree of dispersion of the at least two parameter data acquired in each period, for example, the parameter data are ac current data or ac voltage data, and when the system is in steady operation, the degree of dispersion of the ac current data or ac voltage data in each period should be constant or have small variation tendency, so calculating the variance of the at least two parameter data acquired in the previous period, that is, the first statistical value, the variance of the at least two parameter data acquired in one period, that is, the second statistical value, and calculating the difference between the first statistical value and the second statistical value can determine whether the degree of dispersion of the at least two parameter data acquired in the current period is consistent with or has small difference between the degree of dispersion of the at least two parameter data acquired in the previous period, if the difference is large, the system is in abnormal operation, so that the problem of abnormal operation of the system can be solved in time.
The first statistical value and the second statistical value may also be average values, and the summarizing of the at least two parameter data acquired in each period as an average value is to determine whether the at least two parameter data acquired in each period are on a predetermined average line, for example, the parameter data is temperature data, when the system is in steady operation, the at least two temperature data in each period should be the same value or differ a smaller value, so that calculating the average value of the at least two temperature data acquired in the previous period, that is, the first statistical value, calculating the variance of the at least two temperature data acquired in the previous period, that is, the second statistical value, calculating the difference between the first statistical value and the second statistical value can determine whether the at least two parameter data acquired in the current period are consistent with or differ a smaller value from the at least two parameter data acquired in the previous period, if the at least two parameter data acquired in the current period are consistent with or differ from a smaller, the system is indicated to run stably, and if the difference is large, the system is indicated to run abnormally, so that the problem of abnormal running of the system can be solved in time.
Example three:
as shown in fig. 4, on the basis of the first embodiment and the second embodiment, the method for processing the abnormal operation of the system includes:
step S402, determining that the difference is larger than a first preset threshold value, and outputting a first control signal.
The step of outputting a control signal according to the comparison result specifically includes: and determining that the difference value is greater than a first preset threshold value, and outputting a first control signal.
In this embodiment, even if the system is in stable operation, the parameter data of the system slightly changes, and if the first statistical value and the second statistical value only change, the worker is reminded to process or perform self-processing, which obviously increases unnecessary adjustment processes and increases the burden of the system. Therefore, whether the difference value between the first statistical value and the second statistical value is larger than a first preset threshold value or not is limited to be judged, when the difference value is larger than the first preset threshold value, the fact that the change of at least two parameter data in the current period is larger than the change of at least two parameter data acquired in the previous period is shown, at the moment, a first control signal needs to be output to adjust the operation condition of the parameters of the system, the worst protection measures can be effectively prevented from being triggered by the system, the system can be timely processed when the system is abnormal, the power semiconductor device in the power electronic converter is prevented from being permanently damaged, the fault rate of the system is reduced, and the operation stability of the system is improved.
Example four:
as shown in fig. 5, on the basis of the first embodiment and the second embodiment, the method for processing the abnormal operation of the system includes:
step S502, determining that the difference value is greater than a first preset threshold value;
step S504, the time length of the difference value larger than the first preset threshold value is larger than the preset time length; outputting a first control signal.
The step of outputting a control signal according to the comparison result specifically includes: determining that the difference is greater than a first preset threshold; the time length of the difference value larger than the first preset threshold value is larger than the preset time length; outputting a first control signal.
In this embodiment, even if the system is in stable operation, the parameter data of the system slightly changes, and if the first statistical value and the second statistical value only change, the worker is reminded to process or perform self-processing, which obviously increases unnecessary adjustment processes and increases the burden of the system. Moreover, even if the difference between the first statistical value and the second statistical value is greater than the first preset threshold, the first preset threshold may be exceeded instantaneously due to unstable system operation, and the data parameters of normal operation may be restored immediately. Therefore, the invention limits whether the difference value between the first statistical value and the second statistical value is greater than the first preset threshold value, judges whether the aberration of the difference value greater than the first preset threshold value is greater than the preset time length, and when the difference value is greater than the first preset threshold value, the time length of the difference value greater than the first preset threshold value is greater than the preset time length, the first control signal is required to be output to adjust the operation condition of the parameters of the system, thereby effectively avoiding the worst protective measures from being triggered by the system, timely processing the system when the system is abnormal, avoiding the permanent damage of the power semiconductor device in the power electronic converter, reducing the fault rate of the system and improving the operation stability of the system.
Example five:
as shown in fig. 6, in the foregoing embodiment, the method for processing abnormal operation of a system includes:
step S602, determining that the difference is greater than a second preset threshold, and outputting a second control signal.
The step of outputting a control signal according to the comparison result further comprises: determining that the difference value is larger than a second preset threshold value, and outputting a second control signal; the first control signal comprises an operating parameter adjustment signal; the second control signal comprises at least one or a combination of the following: warning signal, shut down signal are less than rated parameter operation signal.
In this embodiment, if the difference between the first statistical value and the second statistical value is greater than the second preset threshold, and the second preset threshold is greater than the first preset threshold, it is indicated that the difference between the first statistical value and the second statistical value is relatively large, and at this time, the abnormal operation condition of the system is relatively serious, and it is necessary to remind a worker to handle or perform self-adjustment as soon as possible. Specifically, when the difference between the first statistical value and the second statistical value is greater than the first preset threshold and less than the second preset threshold, it is indicated that the abnormal operation of the system is not serious, so that parameter adjustment can be performed, for example, when voltage fluctuates, voltage data can be adjusted by increasing bus voltage, or when it is detected that temperature data increases, the operating power of the fan can be increased, and the heat dissipation effect is improved, that is, at this time, the operating parameter of the power device can be adjusted by the system to adjust the system to the normal operation, the difference between the first statistical value and the second statistical value is restored to be below the first preset threshold, the rated value can operate at 45 ℃ of the environment, the abnormal state is limited to operate within 35 ℃ of the environment temperature, the rated value can operate at 160kW, and the abnormal state is limited to operate within 100 kW. When the difference value between the first statistical value and the second statistical value is greater than a second preset threshold value, it is indicated that the abnormal operation condition of the system is relatively serious, and at this time, a warning signal needs to be sent to remind a worker to process the abnormal condition as soon as possible, or a shutdown signal is directly sent to prevent the system from continuing to operate and avoid the damage of the device, or the power device can be reduced to operate below a rated parameter, for example, the power device operates below a rated power and is not easily damaged when the power device operates at a low power. Through the mode, the abnormity of the system can be timely processed, the power semiconductor device in the power electronic converter is prevented from being permanently damaged, the fault rate of the system is reduced, and the running stability of the system is improved.
The signal to change the system operating state is expected to stabilize the system within limited conditions such as increasing/decreasing the switching frequency, decreasing the workload, increasing/decreasing the output voltage, increasing/decreasing the fan speed (changing the heat dissipation condition), etc.
Of course, it may also be determined whether the time length of the difference between the first statistical value and the second statistical value exceeds a preset time length.
Example six:
in the above embodiments, the parameter data includes at least one or a combination of the following; electromagnetic data such as current data, voltage data, temperature data, humidity data, pressure data, and temperature data.
In this embodiment, the parameter data may be one or more, for example, the parameter data is ac current data or ac voltage data, when the system is in steady operation, the dispersion degree of the ac current data or ac voltage data in each period should be fixed or have a small variation trend, so that calculating the variance of at least two parameter data acquired in the previous period, i.e. a first statistical value, calculating the variance of at least two parameter data acquired in the previous period, i.e. a second statistical value, calculating the difference between the first statistical value and the second statistical value can obtain whether the dispersion degree of at least two parameter data acquired in the current period is consistent with or has a small difference with the dispersion degree of at least two parameter data acquired in the previous period, if consistent with or has a small difference, the system is in steady operation, if the difference is large, the system is in abnormal operation, so as to solve the problem of abnormal operation of the system in time.
Or the parameter data is temperature data, when the system operates stably, at least two temperature data in each period should be the same value or have a smaller difference value, so that the average value of at least two temperature data acquired in the previous period, namely a first statistical value, the variance of at least two temperature data acquired in the previous period, namely a second statistical value, is calculated, and the difference value between the first statistical value and the second statistical value is calculated, so that whether the at least two parameter data acquired in the current period are consistent with or have a smaller difference value with the at least two parameter data acquired in the previous period can be obtained, if so, the system operates stably, and if so, the system operates abnormally, so that the problem of abnormal operation of the system can be solved timely.
The parameter data is electromagnetic data which can be quantized, various parameter data can be acquired at the same time, and the condition for adjusting the system is further limited, for example, three kinds of parameter data are acquired at the same time, three kinds of parameter data are acquired in the current period, three kinds of parameter data are acquired in the last period, the difference values of the three kinds of parameter data are respectively calculated, and if the difference value of the three kinds of parameter data which is not less than two kinds of parameter data exceeds a preset threshold value, a worker is reminded to process or the system is self-adjusted.
As shown in fig. 7, further, the method for processing abnormal operation of a system includes:
in step S702, a period interval is set according to the type of the parameter data.
Before the step of periodically acquiring the parameter data, the method further comprises the following steps: the period interval is set according to the type of the parameter data.
The setting of the period area can be in various modes, specifically, the period interval can be set according to the type of parameter data, specifically, if the parameter data is temperature data, a timing period can be set, if the parameter data is current data or voltage data, an electrical frequency period can be set, the period interval can be set pertinently according to the type of the parameter data, the accuracy of the detection process and the timeliness of the detection process are effectively improved, the system can be processed in time when an abnormity occurs, the permanent damage of a power semiconductor device in a power electronic converter is avoided, the fault rate of the system is reduced, and the stability of the operation of the system is improved.
Example seven:
in the above embodiment, the method for processing abnormal operation of a system includes:
as shown in fig. 8, in step S802, based on the difference being greater than the first preset threshold, the parameter data in the current period and the parameter data in the previous period are stored.
The system abnormal operation processing method further comprises the step of storing the parameter data in the current period and the parameter data in the previous period based on the difference value being larger than the first preset threshold value.
In this embodiment, when the difference between the first statistical value and the second statistical value is greater than the first preset threshold, it is described that the system has abnormal operation, and it is possible to remind the worker to perform processing or system self-adjustment, and in order to facilitate the worker to analyze and experiment the parameter data of the system when the system has abnormal operation, the parameter data in the current period and the parameter data in the previous period when the system has abnormal operation are stored, and the worker calls the parameter processing to perform analysis and statistics, so that the system or the power device can be optimized, similar situations of the system are avoided again, permanent damage of the power semiconductor device in the power electronic converter is avoided, the failure rate of the system is reduced, and the stability of the system operation is improved.
Example eight:
as shown in fig. 9, an embodiment of the second aspect of the present invention provides a system abnormal operation processing apparatus 1100, including: memory 1102, processor 1104, and computer programs. Computer programs are stored in the memory 1102 and can be executed on the processor 1104; the computer program when executed by the processor 1104 performs the steps of the system abnormal operation handling method in any of the embodiments described above. Therefore, the system abnormal operation processing apparatus 1100 provided by the present invention has the full benefits of the system abnormal operation processing method provided in any of the above embodiments.
In particular, memory 1102 may include mass storage 1102 for data or instructions. By way of example, and not limitation, memory 1102 may include a Hard Disk Drive (HDD), a floppy Disk Drive, flash memory, an optical Disk, a magneto-optical Disk, tape, or a Universal Serial Bus (USB) Drive or a combination of two or more of these. Memory 1102 may include removable or non-removable (or fixed) media, where appropriate. Memory 1102 can be internal or external to the integrated gateway load device, where appropriate. In a particular embodiment, the memory 1102102 is non-volatile solid-state memory 1102. In a particular embodiment, the memory 1102 includes read only memory 1102 (ROM). Where appropriate, the ROM may be mask-programmed ROM, Programmable ROM (PROM), Erasable PROM (EPROM), Electrically Erasable PROM (EEPROM), electrically rewritable ROM (EAROM), or flash memory or a combination of two or more of these.
The processor 1104 may include a central processing unit 1104(CPU), or an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits that may be configured to implement embodiments of the present invention.
Example nine:
an embodiment of the third aspect of the present invention provides a computer-readable storage medium, where a system abnormal operation processing program is stored on the computer-readable storage medium, and when being executed by a processor, the system abnormal operation processing program implements the steps of the system abnormal operation processing method in any one of the above embodiments. Therefore, the computer readable storage medium provided by the present invention has the full benefits of the system abnormal operation processing method provided in any of the above embodiments.
Computer readable storage media may include any medium that can store or transfer information. Examples of computer readable storage media include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
Example ten:
the power electronic converter is divided into four parts, namely a system controller, a periodic signal processing module, an abnormality analysis module and an abnormality processing module of the power electronic converter.
And the system controller is used for realizing the function of the power electronic converter and acquiring the electromagnetic signals required by system control in real time.
The periodic signal processing module is used for converting the electromagnetic signals acquired by the system controller in real time into periodic signal segments which are divided by taking a certain time period as a unit and used as signals to be analyzed input by the abnormity analysis module;
the abnormality analysis module analyzes the similarity degree between the periodic signal segments by a statistical method so as to evaluate the abnormality degree of the system and output an abnormal state to the abnormality processing module;
and the exception handling module receives the exception state and executes the handling measures corresponding to the current exception of the system.
The four parts can be integrated in an entity for realizing the system controller, or can be respectively and independently realized through signal transmission, wherein the signal transmission can be realized through different forms of communication modes, and can be the following and/or a combination of various forms:
communication bus: SPI, SCI, RS232, RS485, etc.
Logic transfer: the electronic circuit is constructed to communicate 0/1 the logic information.
Analog transmission: the electronic circuit is built and can transmit analog information.
The electromagnetic signal acquired in real time can be any one and/or combination of a plurality of forms:
the system controller can directly acquire electromagnetic signals which can be quantized, such as current, voltage, temperature, humidity, pressure, logic quantity and the like in real time through sensors arranged in the system, such as current, voltage, temperature, humidity, pressure and the like.
The system controller is derived from electromagnetic signals such as current, voltage, temperature, humidity, pressure, logic quantity and the like which can be directly acquired in real time through derivation, calculation, fitting and the like.
The time periods may be combined in the form of any one or more of the following:
one and/or multiple carrier periods.
One and/or more power frequency cycles.
One and/or more electrical frequency cycles.
One and/or more timing cycles.
The system abnormal operation processing method adopts any one and/or combination of a plurality of forms including but not limited to the following:
similarity of front and back periods of a single electromagnetic signal.
The similarity of the front and back periods between the plurality of electromagnetic signals.
The method for processing the abnormal operation of the system can adopt, but is not limited to, any one and/or combination of a plurality of forms according to the actual requirements of the operation of the power electronic converter system:
warning signal output, early fault shutdown and derating operation of the system.
And in the running process, the abnormity judgment and the abnormal state processing are carried out in advance, so that the impact on triggering the worst protection threshold value by the power electronic converter is avoided, or the derating of the system is limited in a safe working area, the continuous running of the system is maintained, and the online failure rate is reduced.
As shown in fig. 10, in a specific embodiment, a method for processing abnormal operation of a system includes:
step S902, setting a period interval and a similarity threshold;
step S904, recording the bus voltage of the current period;
step S906, the similarity with the bus voltage curve in the previous period is greater than the similarity threshold, if yes, step S908 is executed, otherwise, step S904 is executed;
step S908, the load is reduced.
In the application of the four-quadrant variable frequency drive, bus voltage and phase current signals are collected as electromagnetic signals, when the four-quadrant variable frequency drive is in steady state operation, the bus voltage of a plurality of carrier period segments is in a direct current steady state, and the phase current signals of a plurality of power frequency periods are in a sine steady state. As shown in fig. 13, when a grid-side voltage single-phase low-voltage ride-through occurs, there is no online anomaly diagnosis and processing mechanism, the bus voltage after a plurality of carrier period segments drops to six points, and at this time, the current signal collected by the system controller tends to diverge, and the maximum value of the current thereof triggers the current protection threshold set by the system for the power semiconductor device. As shown in FIG. 12, by adopting the online abnormality diagnosis and processing mechanism of the present invention, the system reacts quickly after an abnormality occurs to ensure a smooth transition in an abnormal state. Specifically, as shown in fig. 14, the system controller in this embodiment will obtain a bus voltage electromagnetic signal; dividing a periodic signal segment as a signal to be analyzed by a periodic signal processing module by taking a 0.5ms timing period as a unit; the anomaly analysis module compares the current period with the previous week expectation analysis signal to find a large-amplitude downlink difference, and outputs an abnormal state; and the exception handling module receives the exception state, properly reduces the running load according to the load state, maintains the system running, does not trigger the worst protection, and is in stable transition.
As shown in fig. 11, in another embodiment, a method for processing abnormal operation of a system includes:
step S1002, setting a period interval as a power frequency period and a similarity threshold;
step S1004, recording the phase current waveform of the current period;
step S1006, if the similarity of the waveform curve of the phase current in the previous period is greater than the similarity threshold, executing step S1008 if the similarity is greater than the similarity threshold, otherwise executing step S1004;
step S1008, the bus voltage is increased.
In the application of the four-quadrant variable frequency drive, phase current signals are collected as electromagnetic signals, and when the four-quadrant variable frequency drive is in steady state operation, the phase current signals of a plurality of power frequency periods are in a sine steady state. As shown in fig. 15, when a rise in the grid-side voltage occurs, the phase current is abnormally distorted due to the system entering the overmodulation region (solid line). Through the online abnormity diagnosis and processing mechanism, the system controller obtains phase current signals; dividing periodic signal segments into signals to be analyzed by a periodic signal processing module by taking a power frequency period as a unit; the abnormality analysis module compares the current period with the previous period expected analysis signal to find that the standard deviation is increased to a certain threshold value, can judge that the system operates in an overmodulation state and outputs an abnormal state; and the abnormity processing module receives the abnormal state, increases the bus voltage according to the bus voltage increase condition, can continuously operate, and stops operating to protect the safety of the system when the bus voltage is increased to reach the boundary of the safe working area.
In the present invention, the term "plurality" means two or more unless explicitly defined otherwise. The terms "mounted," "connected," "fixed," and the like are to be construed broadly, and for example, "connected" may be a fixed connection, a removable connection, or an integral connection; "coupled" may be direct or indirect through an intermediary. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the description herein, the description of the terms "one embodiment," "some embodiments," "specific embodiments," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or 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.
Claims (12)
1. A system abnormal operation processing method is characterized by comprising the following steps:
periodically acquiring parameter data;
determining a comparison result of the parameter data in the current period and the parameter data in the previous period;
and outputting a control signal according to the comparison result.
2. The method for processing abnormal operation of a system according to claim 1, wherein the step of determining the comparison result between the parameter data in the current period and the parameter data in the previous period specifically includes:
and determining the difference value of the parameter data in the current period and the parameter data in the previous period.
3. The system abnormal operation processing method according to claim 2, wherein the step of periodically acquiring the parameter data specifically includes:
periodically acquiring at least two parameter data;
the step of determining the difference between the parameter data in the current period and the parameter data in the previous period specifically includes:
determining a first statistical value of at least two parameter data in the current period;
determining a second statistical value of at least two parameter data in the last period;
determining a difference between the first statistical value and the second statistical value.
4. The system abnormal operation processing method according to claim 3,
the first statistical value includes any one of: a variance of the at least two parameter data within the current period, a standard deviation of the at least two parameter data within the current period, or an average of the at least two parameter data within the current period;
the second statistical value includes any one of: a variance of the at least two parameter data in the previous period, a standard deviation of the at least two parameter data in the previous period, or an average of the at least two parameter data in the previous period.
5. The method for processing abnormal operation of a system according to claim 2, wherein the step of outputting a control signal according to the comparison result specifically includes:
and determining that the difference value is greater than a first preset threshold value, and outputting a first control signal.
6. The system abnormal operation processing method according to claim 2,
the step of outputting a control signal according to the comparison result specifically includes:
determining that the difference is greater than a first preset threshold;
the time length of the difference value larger than the first preset threshold is larger than a preset time length;
outputting a first control signal.
7. The method for processing abnormal operation of a system according to claim 5 or 6, wherein the step of outputting a control signal according to the comparison result further comprises:
determining that the difference value is larger than a second preset threshold value, and outputting a second control signal;
the first control signal comprises an operating parameter adjustment signal;
the second control signal comprises at least one or a combination of the following: warning signal, shut down signal are less than rated parameter operation signal.
8. The system abnormal operation processing method according to any one of claims 1 to 6, wherein the parameter data includes at least one or a combination of the following;
electromagnetic data such as current data, voltage data, temperature data, humidity data, pressure data, and temperature data.
9. The method for processing abnormal operation of a system according to claim 8, wherein the step of periodically acquiring parameter data further comprises:
and setting a period interval according to the type of the parameter data.
10. The system abnormal operation processing method according to claim 5 or 6, wherein the abnormal operation processing method further comprises:
and storing the parameter data in the current period and the parameter data in the previous period based on the difference value being larger than a first preset threshold value.
11. A system abnormal operation processing apparatus, comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor;
the computer program, when executed by the processor, implements the steps of the system abnormal operation processing method of any one of claims 1 to 10.
12. A computer-readable storage medium, on which a system abnormal operation processing program is stored, which, when executed by a processor, implements the steps of the system abnormal operation processing method according to any one of claims 1 to 10.
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