CN115802199A - Method and device for determining alarm threshold, electronic equipment and readable storage medium - Google Patents
Method and device for determining alarm threshold, electronic equipment and readable storage medium Download PDFInfo
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- CN115802199A CN115802199A CN202211319355.8A CN202211319355A CN115802199A CN 115802199 A CN115802199 A CN 115802199A CN 202211319355 A CN202211319355 A CN 202211319355A CN 115802199 A CN115802199 A CN 115802199A
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Abstract
The invention relates to the technical field of data analysis and discloses a method and a device for determining an alarm threshold, electronic equipment and a readable storage medium. Wherein, the method comprises the following steps: acquiring historical operating data generated by monitoring points at each historical moment; analyzing historical operating data, and determining distribution parameters, a highest alarm limit value and a lowest alarm limit value of the historical operating data; and dividing the alarm limit value range corresponding to the highest alarm limit value and the lowest alarm limit value according to the distribution parameters to obtain a target alarm threshold value corresponding to the monitoring point. By implementing the invention, the automatic generation and the automatic configuration of the alarm threshold value are realized, so that the intelligent configuration of the alarm threshold value is realized, the time and the workload of artificially configuring the alarm threshold value are greatly reduced, the phenomena of mismatching, missing configuration and mismatching existing in the artificial configuration are avoided to the greatest extent, and the configuration accuracy, the reasonability and the effectiveness of the alarm threshold value are further improved.
Description
Technical Field
The invention relates to the technical field of data analysis, in particular to a method and a device for determining an alarm threshold, electronic equipment and a readable storage medium.
Background
With the rapid development of the large environment of the Chinese industry, how to ensure the safe operation of various industrial operation processes becomes a concern for industrial technicians. At present, industrial alarm is basically adopted so that corresponding measures can be taken in time when the operation is abnormal. However, the configuration of the alarm limit value is manually configured, the workload for configuring the alarm limit value depends on the number of monitoring points, and if the number of the monitoring points is large, the workload for configuring the alarm limit value is complex and tedious, and inaccurate phenomena such as mismatching, missing matching, mismatching and the like are difficult to avoid. Therefore, how to realize the accurate configuration of the alarm limit value needs to be solved urgently.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for determining an alarm threshold, an electronic device, and a readable storage medium, so as to solve the problem that an alarm threshold is not configured accurately by a human.
According to a first aspect, an embodiment of the present invention provides a method for determining an alarm threshold, including: acquiring historical operation data generated by monitoring points at each historical moment; analyzing the historical operating data, and determining the distribution parameters, the highest alarm limit value and the lowest alarm limit value of the historical operating data; and dividing the alarm limit value range corresponding to the highest alarm limit value and the lowest alarm limit value according to the distribution parameters to obtain a target alarm threshold value corresponding to the monitoring point.
The method for determining the alarm threshold provided by the embodiment of the invention analyzes the operation state of the monitoring point by acquiring the historical operation data of the monitoring point, determines the distribution parameter of the historical operation data, and then generates the alarm threshold aiming at the monitoring point according to the distribution parameter so as to configure the alarm threshold to the related monitoring point. Therefore, the alarm threshold value corresponding to the monitoring point is reasonably generated by combining with historical operation data, and the automatic generation and the automatic configuration of the alarm threshold value are realized, so that the intelligent configuration of the alarm threshold value is realized, the time and the workload for artificially configuring the alarm threshold value are greatly reduced, the phenomena of mismatch, missing configuration and misconfiguration in artificial configuration are avoided to the greatest extent, and the accuracy, the reasonability and the effectiveness of the configuration of the alarm threshold value are further improved.
With reference to the first aspect, in a first implementation manner of the first aspect, the analyzing the historical operating data to determine a distribution parameter, a highest alarm limit, and a lowest alarm limit of the historical operating data includes: analyzing the fluctuation state of the historical operating data, and determining the distribution parameters of the historical operating data; determining a maximum value and a minimum value of the operation parameters according to the distribution parameters; and determining the maximum value of the operation parameter as the highest alarm limit value, and determining the minimum value of the operation parameter as the lowest alarm limit value.
According to the method for determining the alarm threshold provided by the embodiment of the invention, by analyzing the fluctuation state of the historical operating data, the reasonable maximum alarm limit value and the reasonable minimum alarm limit value can be conveniently determined according to the historical operating data, so that the automatically generated alarm threshold value is more consistent with the actual operating state of the monitoring point.
With reference to the first implementation manner of the first aspect, in a second implementation manner of the first aspect, the analyzing the fluctuation state of the historical operating data and determining the distribution parameter of the historical operating data includes: determining an operation data distribution curve of the monitoring point based on the fluctuation state of the historical operation data; and determining distribution parameters corresponding to the monitoring points based on the characteristics of the operating data distribution curve.
According to the method for determining the alarm threshold provided by the embodiment of the invention, the data distribution curve aiming at the monitoring point is determined by analyzing the fluctuation state of the historical operating data, and then the corresponding distribution parameter is determined, so that the determination of the distribution parameter is more reasonable, and the subsequently generated alarm threshold value is more accurate.
With reference to the first aspect, in a third implementation manner of the first aspect, the obtaining historical operating data of the monitoring point includes: acquiring a preset sampling range and a preset sampling period; and acquiring the historical operating data generated by the monitoring points based on the preset sampling period in the preset sampling range.
The method for determining the alarm threshold provided by the embodiment of the invention supports the setting of the sampling range and the sampling period, so that the collection of historical operating data is more flexible.
With reference to the first aspect, in a fourth implementation manner of the first aspect, the dividing, according to the distribution parameters, an alarm limit range corresponding to the highest alarm limit and an alarm limit range corresponding to the lowest alarm limit to obtain a target alarm threshold corresponding to the monitoring point includes: dividing the alarm threshold range into a plurality of parts based on the variance to obtain a plurality of alarm thresholds; determining an upper control threshold value and a lower control threshold value based on the control line coefficient and the standard deviation estimation coefficient; and determining the plurality of alarm threshold values, the upper control threshold value and the lower control threshold value as the target alarm threshold value.
The method for determining the alarm threshold provided by the embodiment of the invention obtains a plurality of alarm threshold values by dividing the alarm threshold range, and determines the upper control threshold value and the lower control threshold value based on the control line coefficient and the standard deviation estimation coefficient, thereby realizing the generation of the plurality of alarm threshold values and enabling the target alarm threshold value to be more consistent with the actual industrial alarm service.
With reference to the fourth implementation manner of the first aspect, in a fifth implementation manner of the first aspect, the distribution parameter further includes an average difference between alarm threshold values, and the method further includes: and performing grading processing on the target alarm threshold value according to a preset percentage of the average difference of the alarm threshold values to obtain a target gear corresponding to the target alarm threshold value.
According to the method for determining the alarm threshold provided by the embodiment of the invention, the gears of the target alarm threshold are configured according to the average difference of the alarm thresholds, so that the automatic configuration of the alarm thresholds of different gears is realized, and the workload of manually configuring a plurality of alarm thresholds is reduced to the greatest extent.
With reference to the first aspect or any one of the first to fifth embodiments of the first aspect, in a sixth embodiment of the first aspect, the method further includes: detecting whether the real-time operation data of the monitoring point exceeds the target alarm threshold value; and generating alarm information when the real-time operation data exceeds the target alarm threshold value.
According to the method for determining the alarm threshold, provided by the embodiment of the invention, when the real-time operation data exceeds the target alarm threshold value, the alarm information is generated to remind technicians to take relevant measures in time, so that the operation stability of the industrial process is ensured to the maximum extent.
According to a second aspect, an embodiment of the present invention provides an apparatus for determining an alarm threshold, including: the acquisition module is used for acquiring historical operating data generated by monitoring points at each historical moment; the analysis module is used for analyzing the historical operating data and determining the distribution parameters, the highest alarm limit value and the lowest alarm limit value of the historical operating data; and the dividing module is used for dividing the alarm limit value range corresponding to the highest alarm limit value and the lowest alarm limit value according to the distribution parameters to obtain a target alarm threshold value corresponding to the monitoring point.
According to a third aspect, an embodiment of the present invention provides an electronic device, including: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing therein computer instructions, and the processor executing the computer instructions to perform the method for determining an alarm threshold according to the first aspect or any embodiment of the first aspect.
According to a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where computer instructions are stored, and the computer instructions are configured to cause a computer to execute the method for determining an alarm threshold according to the first aspect or any embodiment of the first aspect.
It should be noted that, for corresponding beneficial effects of the apparatus for determining an alarm threshold, the electronic device and the computer-readable storage medium provided in the embodiment of the present invention, please refer to descriptions of corresponding contents in the method for determining an alarm threshold, which are not described herein again.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of a method of determining an alarm threshold according to an embodiment of the invention;
FIG. 2 is another flow chart of a method of determining an alarm threshold according to an embodiment of the present invention;
FIG. 3 is a further flowchart of a method for determining an alarm threshold in accordance with an embodiment of the present invention;
FIG. 4 is a schematic diagram of a collection of historical operating data according to an embodiment of the invention;
FIG. 5 is a schematic diagram of a distribution of historical operating data according to an embodiment of the invention;
fig. 6 is a block diagram of an apparatus for determining an alarm threshold according to an embodiment of the present invention;
fig. 7 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
At present, industrial alarm is basically adopted so that corresponding measures can be taken in time when the operation is abnormal. However, the configuration of the alarm limit value is manually configured, and the workload of configuring the alarm limit value depends on the number of the monitoring points, and if the number of the monitoring points is large, the workload of configuring the alarm limit value is complex and tedious, and inaccurate phenomena such as mismatching, missing matching, mismatching and the like are inevitable. Therefore, how to implement the precise configuration of the alarm limit needs to be solved urgently.
Based on this, the technical scheme of the application combines the reasonable generation of the alarm threshold corresponding to the monitoring point of the historical operation data, and realizes the automatic generation and the automatic configuration of the alarm threshold, thereby avoiding the phenomena of mismatching, missing matching and mismatching existing in artificial configuration, and further improving the configuration accuracy, the reasonability and the effectiveness of the alarm threshold.
In accordance with an embodiment of the present invention, there is provided an embodiment of a method for determining an alarm threshold, wherein the steps illustrated in the flowchart of the figure may be carried out in a computer system, such as a set of computer-executable instructions, and wherein, although a logical order is illustrated in the flowchart, in some cases, the steps illustrated or described may be carried out in an order different than presented herein.
In this embodiment, a method for determining an alarm threshold is provided, which may be used in electronic devices, such as a mobile phone, a computer, a server, and the like, and fig. 1 is a flowchart of a method for determining an alarm threshold according to an embodiment of the present invention, and as shown in fig. 1, the flowchart includes the following steps:
and S11, acquiring historical operation data generated by the monitoring points at each historical moment.
The historical time is the collection time for the monitoring point, the historical operation data is the data used for representing the operation state generated by the monitoring point, and the data can be a current value, a voltage value, electric quantity, water quantity, flow and the like. Corresponding acquisition equipment, such as meters, sensors and the like, is pre-deployed at each monitoring point, and the acquisition equipment is in communication connection with the electronic equipment. Collecting device can upload the data that it was gathered at each collection moment to electronic equipment, and correspondingly, electronic equipment can receive the historical operating data that each monitoring point produced at each historical moment, wherein carries the time stamp among the historical operating data to electronic equipment sequences its historical operating data who receives according to the time stamp.
And S12, analyzing the historical operating data, and determining the distribution parameters, the highest alarm limit value and the lowest alarm limit value of the historical operating data.
The electronic equipment analyzes the received multiple historical operation data to determine the change state of the historical operation data generated at the monitoring point, and determines the data distribution state of the monitoring point according to the change state of the historical operation data, thereby determining the distribution parameters of the monitoring point based on the current distribution state. Meanwhile, historical operation data are compared to determine the highest operation parameter value and the lowest operation parameter value, the highest alarm limit value of abnormal alarm is determined according to the highest operation parameter, and the lowest alarm limit value of abnormal alarm is determined according to the lowest operation parameter value.
And S13, dividing alarm limit value ranges corresponding to the highest alarm limit value and the lowest alarm limit value according to the distribution parameters to obtain target alarm threshold values corresponding to the monitoring points.
The target alarm threshold value is an abnormal operation alarm threshold value corresponding to the monitoring point, and the electronic equipment can send out an alarm prompt after the real-time operation data exceeds the target alarm threshold value. An alarm limit value range exists between the highest alarm limit value and the lowest alarm limit value, the electronic device can divide the alarm limit value range based on the distribution parameters to obtain a plurality of alarm threshold values, and the alarm threshold values are target alarm threshold values generated by the electronic device. The alarm limit value range is reasonably divided through the alarm threshold values, accurate alarm is facilitated, and after the target alarm threshold value is determined, the target alarm threshold value can be configured to the corresponding monitoring point by the electronic equipment, so that the operation of the monitoring point is accurately monitored.
The method for determining the alarm threshold according to this embodiment determines the distribution parameter of the historical operating data by acquiring the historical operating data of the monitoring point to analyze the operating state of the monitoring point, and then generates the alarm threshold for the monitoring point according to the distribution parameter, so as to configure the alarm threshold to the relevant monitoring point. Therefore, the alarm threshold value corresponding to the monitoring point is reasonably generated by combining historical operating data, automatic generation and automatic configuration of the alarm threshold value are realized, intelligent configuration of the alarm threshold value is realized, time and workload for artificially configuring the alarm threshold value are greatly reduced, mismatching, missing matching and mismatching phenomena existing in artificial configuration are avoided to the greatest extent, and accuracy, reasonability and effectiveness of configuration of the alarm threshold value are further improved.
In this embodiment, a method for determining an alarm threshold is provided, which may be used in electronic devices, such as a mobile phone, a computer, a server, and the like, fig. 2 is a flowchart of a method for determining an alarm threshold according to an embodiment of the present invention, and as shown in fig. 2, the flowchart includes the following steps:
and S21, acquiring historical operation data generated by the monitoring points at each historical moment.
For detailed description, reference is made to the corresponding related description of the above embodiments, and details are not repeated herein.
And S22, analyzing the historical operating data, and determining the distribution parameters, the highest alarm limit value and the lowest alarm limit value of the historical operating data.
Specifically, the step S22 may include:
s221, analyzing the fluctuation state of the historical operating data, and determining the distribution parameters of the historical operating data.
The historical operation data generated by the monitoring point at each historical moment is not constant, and the fluctuation state is the change of the historical operation data at each historical moment. According to the fluctuation state, a distribution function of the historical operating data can be fitted, and then distribution parameters corresponding to the historical operating data are calculated according to the distribution function obtained through fitting.
Optionally, the step S221 may include:
(1) And determining the operating data distribution curve of the monitoring point based on the fluctuation state of the historical operating data.
The operation data distribution curve is a data curve between historical operation data generated by the monitoring points and historical time. The electronic equipment cleans, combs and counts the historical operating data, and the operating parameter values generated at the monitoring points at all historical moments are sequentially connected according to the time sequence to generate the operating data distribution curve of the monitoring points.
(2) And determining distribution parameters corresponding to the monitoring points based on the characteristics of the operating data distribution curve.
The operation data distribution curve represents operation parameter values generated by the monitoring points at all times, and the characteristics of the operation data distribution curve can be determined. The electronic equipment can fit a corresponding distribution function based on the characteristics of the operation data distribution curve, and then can calculate corresponding distribution parameters according to the distribution function. Specifically, the distribution parameters may include a variation trend, a mean, a standard deviation, a control line coefficient, a standard deviation estimation coefficient, and the like. The content of the distribution parameter is not limited, and any parameter may be used as long as the parameter can represent the distribution state of the operating data, and those skilled in the art can determine the parameter according to actual needs.
S222, determining the maximum value and the minimum value of the operation parameters according to the distribution parameters.
The maximum value of the operation parameter is the maximum value of the operation data generated by the monitoring point, and the minimum value of the operation parameter is the minimum value of the operation data generated by the monitoring point. Since the historical operating data is acquired at regular time based on the acquisition period, the maximum value and the minimum value of the operating parameters may not appear at the acquisition time, and at this time, the electronic device may determine the maximum value and the minimum value of the operating parameters generated by the monitoring point by combining the distribution function and the distribution parameters.
And S223, determining the maximum value of the operation parameter as the highest alarm limit value, and determining the minimum value of the operation parameter as the lowest alarm limit value.
The electronic equipment can determine the maximum value of the operation parameter as the highest alarm limit value and the minimum value of the operation parameter as the lowest alarm limit value, so that the abnormal operation state possibly occurring at the monitoring point can be monitored conveniently.
And S23, dividing the alarm limit value range corresponding to the highest alarm limit value and the lowest alarm limit value according to the distribution parameters to obtain a target alarm threshold value corresponding to the monitoring point.
For a detailed description, refer to the corresponding related description of the above embodiments, which is not repeated herein.
According to the method for determining the alarm threshold, by analyzing the fluctuation state of the historical operating data, the reasonable maximum alarm limit value and the reasonable minimum alarm limit value can be determined conveniently according to the historical operating data, so that the automatically generated alarm threshold value is more consistent with the actual operating state of the monitoring point. The data distribution curve aiming at the monitoring points is determined by analyzing the fluctuation state of the historical operating data, and then the corresponding distribution parameters are determined, so that the determination of the distribution parameters is more reasonable, and the subsequently generated alarm threshold value is more accurate.
In this embodiment, a method for determining an alarm threshold is provided, which may be used in electronic devices, such as a mobile phone, a computer, a server, and the like, fig. 3 is a flowchart of a method for determining an alarm threshold according to an embodiment of the present invention, and as shown in fig. 3, the flowchart includes the following steps:
and S31, acquiring historical operation data generated by the monitoring points at each historical moment.
Specifically, the step S31 may include:
s311, acquiring a preset sampling range and a preset sampling period.
The preset sampling range is a sampling time range, such as one day, one week (7 days), one month, one year, and the like. The preset sampling period is a time interval between each sampling, such as 10 seconds, 1 minute, 1 hour, and the like. The preset sampling range and the preset sampling period are not limited herein, and can be determined by those skilled in the art according to actual requirements.
Specifically, an industrial technician can input a sampling range and a sampling period to the electronic device through an input interface (a keyboard, a mouse, and the like) according to actual needs, and accordingly, the electronic device can respond to input operation of the industrial technician to obtain a preset sampling range and a preset sampling period.
And S312, acquiring historical operating data generated by the monitoring points based on a preset sampling period in a preset sampling range.
The electronic equipment generates a sampling instruction according to the received preset sampling range and the received preset sampling period, sends the sampling instruction to the acquisition equipment arranged at the monitoring point, and controls the acquisition equipment to acquire historical operating data generated by the monitoring point in the preset sampling range according to the preset sampling period.
As shown in fig. 4, the electronic device may perform data sampling according to a preset sampling range and a preset sampling period setting. The subgroup capacity and the subgroup quantity are input in advance; d2 and D3 represent upper and lower limit values of the control line coefficients corresponding to the subgroup capacity and the subgroup number, respectively; d4 represents a standard deviation estimation coefficient corresponding to the subgroup capacity and the subgroup number, and A2 represents an index corresponding to the subgroup capacity and the subgroup number.
It should be noted that D2, D3, D4, and A2 are determined according to the international specification ISA-18.2, and those skilled in the art can know according to the international specification ISA-18.2, and the determination process thereof is not described in detail herein.
And S32, analyzing the historical operating data, and determining the distribution parameters, the highest alarm limit value and the lowest alarm limit value of the historical operating data.
For a detailed description, refer to the corresponding related description of the above embodiments, which is not repeated herein.
And S33, dividing the alarm limit value range corresponding to the highest alarm limit value and the lowest alarm limit value according to the distribution parameters to obtain a target alarm threshold value corresponding to the monitoring point.
Specifically, the distribution parameters include a variance, a control line coefficient, and a standard deviation estimation coefficient, and accordingly, the step S33 may include:
and S331, dividing the alarm limit range into a plurality of parts based on the variance to obtain a plurality of alarm thresholds.
The electronic device analyzes all historical operating data within a preset sampling range, and can determine that the fluctuation state of the electronic device appears in a normal distribution rule, as shown in fig. 5. According to the rule of normal distribution, the alarm threshold value range can cover all data to the maximum extent according to the variance to be equally divided, and the alarm threshold value corresponding to each equal division is obtained. Specifically, the division may be 6 according to-3 σ, -2 σ, -1 σ, 2 σ, and 3 σ, and 6 alarm threshold values may be obtained.
And S332, determining an upper control threshold value and a lower control threshold value based on the control line coefficient and the standard deviation estimation coefficient.
The upper control threshold value and the lower control threshold value both comprise two control lines, and specifically, the upper control threshold value comprises an upper control threshold highest value and an upper control threshold lowest value; the lower control threshold value includes a lower control threshold highest value and a lower control threshold lowest value. Using rbar to represent the average difference and xbarbar to represent the variance, the upper control threshold highest value UCLr and the upper control threshold lowest value UCLx can be represented as:
UCLr＝D4*rbar；UCLx＝xbarbar+a2*rbar
the lower control threshold maximum value LCLr and the lower control threshold minimum value LCLx can be expressed as:
LCLr＝d3*rbar；LCLx＝xbarbar-a2*rbar
s333, determining a plurality of alarm threshold values, an upper control threshold value and a lower control threshold value as target alarm threshold values.
The electronic equipment determines the plurality of alarm threshold values, the upper control threshold value and the lower control threshold value obtained by calculation as target alarm threshold values of the monitoring points, and deploys the target alarm threshold values to the monitoring points, so that automatic deployment of the alarm threshold values can be realized.
As an optional implementation, the distribution parameter may further include an average difference between alarm thresholds, and accordingly, the foregoing steps may further include:
and S334, performing grading processing on the target alarm threshold value according to the preset percentage of the average difference of the alarm threshold values to obtain a target gear corresponding to the target alarm threshold value.
The target gear corresponds to different alarm threshold values, i.e. different alarm gear positions may be set corresponding to different alarm threshold values. Based on the above embodiment, 10 numerical gears can be determined, and in order to fit the practical situation of the industrial alarm limit value, the gear can be divided into 5 high limit values and 5 low limit values. Specifically, the electronic device may obtain an average difference between the plurality of alarm threshold values, and perform a grading process according to 10%, 20%, 30%, 40%, and 50% of the average difference between the alarm threshold values, so as to obtain 10 alarm gears corresponding to ± 10%, 20%, 30%, 40%, and 50%.
It should be noted that, in consideration of different practical situations, 10 limit alarm modes, namely, high-low alarm, high-low 2 alarm, high-low 3 alarm, high-low 4 alarm and high-low 5 alarm, may be selected to be generated here: high 5 reports, high 4 reports, high 3 reports, high reports, low 3 reports, low 4 reports, and low 5 reports; alternatively, a high report and a low report can be generated. Wherein, the high report represents the alarm gear generated when exceeding the alarm threshold value, and the low report represents the alarm gear generated when being lower than the alarm threshold value.
Different alarm modes can be selected for the alarm of different gears, for example, the alarm is given by light with different colors, the alarm is given by different voices, and the like, and the different alarm modes are not limited as long as the alarms of different gears can be distinguished.
The gears of the target alarm threshold values are configured according to the preset percentage, so that the automatic configuration of the alarm threshold values of different gears is realized, and the workload of manually configuring a plurality of alarm threshold values is reduced to the greatest extent.
As an optional implementation, after determining the target alarm threshold value, the method may further include:
and S34, detecting whether the real-time operation data of the monitoring point exceeds a target alarm threshold value.
After the target alarm threshold value is deployed to the monitoring point, the electronic equipment compares the real-time operation data with the target alarm threshold value after receiving the real-time operation data detected at the current sub-sampling moment so as to determine whether the real-time operation data of the monitoring point exceeds the target alarm threshold value. When the real-time operation data of the monitoring point does not exceed the target alarm threshold value, indicating that the operation state of the current monitoring point is normal, and continuously detecting the real-time operation data of the monitoring point; and when the real-time operation data exceeds the target alarm threshold value, executing the step S35.
And S35, generating alarm information when the real-time operation data exceeds a target alarm threshold value.
When the real-time operation data exceeds the target alarm threshold value, the fact that the monitoring point may be abnormal in operation currently is indicated, and at the moment, the electronic equipment can send out corresponding alarm information according to the target alarm threshold value where the current real-time operation data is located. The alarm information can be sound-light alarm, voice alarm and can be pushed to a mobile terminal of a technician, other alarm modes can be adopted, only related technicians can be reminded to take processing measures in time, and the mode of the alarm information is not limited.
The method for determining the alarm threshold provided by the embodiment supports setting of the sampling range and the sampling period, so that the collection of historical operating data is more flexible. The alarm threshold value range is divided to obtain a plurality of alarm threshold values, and an upper control threshold value and a lower control threshold value are determined based on a control line coefficient and a standard deviation estimation coefficient, so that the generation of the plurality of alarm threshold values is realized, and the target alarm threshold value is more consistent with the actual industrial alarm service. When the real-time operation data exceeds the target alarm threshold value, alarm information is generated to remind technicians to take relevant measures in time, and the operation stability of the industrial process is guaranteed to the maximum extent.
In this embodiment, a device for determining an alarm threshold is further provided, and the device is used to implement the foregoing embodiments and preferred embodiments, which have already been described and will not be described again. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
The present embodiment provides an apparatus for determining an alarm threshold, as shown in fig. 6, including:
and the obtaining module 41 is used for obtaining historical operation data generated by the monitoring points at various historical moments.
And the analysis module 42 is used for analyzing the historical operating data and determining the distribution parameters, the highest alarm limit value and the lowest alarm limit value of the historical operating data.
And a dividing module 43, configured to divide the alarm limit range corresponding to the highest alarm limit and the lowest alarm limit according to the distribution parameters, so as to obtain a target alarm threshold corresponding to the monitoring point.
Optionally, the analysis module 42 may include:
and the first analysis submodule is used for analyzing the fluctuation state of the historical operating data and determining the distribution parameters of the historical operating data.
And the first determining submodule is used for determining the maximum value and the minimum value of the operating parameter according to the distribution parameter.
And the second determining submodule is used for determining the maximum value of the operation parameter as the highest alarm limit value and determining the minimum value of the operation parameter as the lowest alarm limit value.
Optionally, the first analysis sub-module is specifically configured to: determining an operation data distribution curve of a monitoring point based on the fluctuation state of historical operation data; and determining distribution parameters corresponding to the monitoring points based on the characteristics of the operating data distribution curve.
Optionally, the obtaining module 41 may include:
and the first acquisition submodule is used for acquiring a preset sampling range and a preset sampling period.
And the generation submodule is used for acquiring historical operating data generated by the monitoring points based on a preset sampling period in a preset sampling range.
Optionally, the distribution parameters include a variance, a control line coefficient, a standard deviation estimation coefficient, and an alarm threshold average difference, and the dividing module 43 may include:
and the dividing submodule is used for dividing the alarm limit value range into a plurality of parts based on the variance to obtain a plurality of alarm threshold values.
And the third determination sub-module is used for determining the upper control threshold value and the lower control threshold value based on the control line coefficient and the standard deviation estimation coefficient.
And the fourth determining sub-module is used for determining the plurality of alarm threshold values, the upper control threshold value and the lower control threshold value as target alarm threshold values.
And the grading submodule is used for grading the target alarm threshold value according to the preset percentage of the average difference of the alarm threshold values to obtain a target gear corresponding to the target alarm threshold value.
Optionally, the device for determining the alarm threshold may further include:
and the detection module is used for detecting whether the real-time operation data of the monitoring points exceed a target alarm threshold value.
And the alarm generating module is used for generating alarm information when the real-time operation data exceeds a target alarm threshold value.
The alarm threshold determining means in this embodiment is in the form of a functional unit, where the unit refers to an ASIC circuit, a processor and a memory executing one or more software or fixed programs, and/or other devices capable of providing the above functions.
Further functional descriptions of the modules are the same as those of the corresponding embodiments, and are not repeated herein.
The device for determining the alarm threshold provided in this embodiment analyzes the operation state of the monitoring point by acquiring the historical operation data of the monitoring point, determines the distribution parameter of the historical operation data, and then generates the alarm threshold for the monitoring point according to the distribution parameter, so as to configure the alarm threshold to the relevant monitoring point. Therefore, the alarm threshold value corresponding to the monitoring point is reasonably generated by combining historical operating data, automatic generation and automatic configuration of the alarm threshold value are realized, intelligent configuration of the alarm threshold value is realized, time and workload for artificially configuring the alarm threshold value are greatly reduced, mismatching, missing matching and mismatching phenomena existing in artificial configuration are avoided to the greatest extent, and accuracy, reasonability and effectiveness of configuration of the alarm threshold value are further improved.
The embodiment of the present invention further provides an electronic device, which has the apparatus for determining an alarm threshold shown in fig. 6.
Referring to fig. 7, fig. 7 is a schematic structural diagram of an electronic device according to an alternative embodiment of the present invention, and as shown in fig. 7, the electronic device may include: at least one processor 501, such as a Central Processing Unit (CPU), at least one communication interface 503, memory 504, and at least one communication bus 502. Wherein a communication bus 502 is used to enable connective communication between these components. The communication interface 503 may include a Display (Display) and a Keyboard (Keyboard), and the optional communication interface 503 may also include a standard wired interface and a standard wireless interface. The Memory 504 may be a high-speed volatile Random Access Memory (RAM) or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The memory 504 may optionally be at least one storage device located remotely from the processor 501. Wherein the processor 501 may be in connection with the apparatus described in fig. 6, an application program is stored in the memory 504, and the processor 501 calls the program code stored in the memory 504 for performing any of the above-mentioned method steps.
The communication bus 502 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus 502 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 7, but this is not intended to represent only one bus or type of bus.
The memory 504 may include a volatile memory (volatile memory), such as a random-access memory (RAM); the memory may also include a non-volatile memory (non-volatile memory), such as a flash memory (flash memory), a hard disk (HDD) or a solid-state drive (SSD); the memory 504 may also comprise a combination of the above-described types of memory.
The processor 501 may be a Central Processing Unit (CPU), a Network Processor (NP), or a combination of the CPU and the NP.
The processor 501 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a Programmable Logic Device (PLD), or a combination thereof. The PLD may be a Complex Programmable Logic Device (CPLD), a field-programmable gate array (FPGA), a General Array Logic (GAL), or any combination thereof.
Optionally, the memory 504 is also used to store program instructions. The processor 501 may call program instructions to implement the method for determining an alarm threshold as shown in the above embodiments of the present application.
The embodiment of the invention also provides a non-transitory computer storage medium, wherein the computer storage medium stores computer executable instructions, and the computer executable instructions can execute the method for determining the alarm threshold in any method embodiment. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, HDD), a Solid-State Drive (SSD), or the like; the storage medium may also comprise a combination of memories of the kind described above.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.
Claims (10)
1. A method for determining an alarm threshold, comprising:
acquiring historical operating data generated by monitoring points at each historical moment;
analyzing the historical operating data, and determining the distribution parameters, the highest alarm limit value and the lowest alarm limit value of the historical operating data;
and dividing the alarm limit value range corresponding to the highest alarm limit value and the lowest alarm limit value according to the distribution parameters to obtain a target alarm threshold value corresponding to the monitoring point.
2. The method of claim 1, wherein analyzing the historical operating data to determine a distribution parameter, a maximum alarm limit, and a minimum alarm limit for the historical operating data comprises:
analyzing the fluctuation state of the historical operating data, and determining the distribution parameters of the historical operating data;
determining a maximum value and a minimum value of the operation parameters according to the distribution parameters;
and determining the maximum value of the operation parameter as the highest alarm limit value, and determining the minimum value of the operation parameter as the lowest alarm limit value.
3. The method of claim 2, wherein analyzing the fluctuation status of the historical operating data to determine the distribution parameters of the historical operating data comprises:
determining an operation data distribution curve of the monitoring point based on the fluctuation state of the historical operation data;
and determining distribution parameters corresponding to the monitoring points based on the characteristics of the operating data distribution curve.
4. The method of claim 1, wherein the obtaining historical operating data for a monitoring point comprises:
acquiring a preset sampling range and a preset sampling period;
and acquiring the historical operating data generated by the monitoring points based on the preset sampling period in the preset sampling range.
5. The method according to claim 1, wherein the distribution parameters include a variance, a control line coefficient, and a standard deviation estimation coefficient, and the dividing the alarm limit range corresponding to the highest alarm limit and the lowest alarm limit according to the distribution parameters to obtain the target alarm threshold corresponding to the monitoring point comprises:
dividing the alarm limit range into a plurality of parts based on the variance to obtain a plurality of alarm thresholds;
determining an upper control threshold value and a lower control threshold value based on the control line coefficient and the standard deviation estimation coefficient;
and determining the plurality of alarm threshold values, the upper control threshold value and the lower control threshold value as the target alarm threshold value.
6. The method of claim 5, wherein the distribution parameter further comprises an alarm threshold average difference, the method further comprising:
and performing grading processing on the target alarm threshold value according to a preset percentage of the average difference of the alarm threshold values to obtain a target gear corresponding to the target alarm threshold value.
7. The method of any one of claims 1-6, further comprising:
detecting whether the real-time operation data of the monitoring point exceeds the target alarm threshold value;
and generating alarm information when the real-time operation data exceeds the target alarm threshold value.
8. An apparatus for determining an alarm threshold, comprising:
the acquisition module is used for acquiring historical operating data generated by monitoring points at each historical moment;
the analysis module is used for analyzing the historical operating data and determining the distribution parameters, the highest alarm limit value and the lowest alarm limit value of the historical operating data;
and the dividing module is used for dividing the alarm limit value range corresponding to the highest alarm limit value and the lowest alarm limit value according to the distribution parameters to obtain a target alarm threshold value corresponding to the monitoring point.
9. An electronic device, comprising:
a memory and a processor, the memory and the processor being communicatively connected to each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform the method for determining an alarm threshold according to any one of claims 1 to 7.
10. A computer-readable storage medium having stored thereon computer instructions for causing a computer to perform the method for determining an alarm threshold according to any one of claims 1-7.
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