Data anomaly statistical alarm method and device and electronic equipment

A data abnormality and data technology, which is applied in electrical program control, general control system, control/regulation system, etc., can solve problems such as enterprise loss and failure to meet alarm conditions, and achieve the effect of avoiding alarm omissions and alleviating alarm omissions.

Active Publication Date: 2020-03-27
GREE ELECTRIC APPLIANCES INC +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The inventor found that, taking the total number of unqualified alarms every day as an example, if we count and alarm according to the cycle of natural days, there will be the following problems: the data A of a certain supplier continues to occur near the boundaries of the two time periods before and after The sum of the detected number of non-conforming products is enough to trigger the alarm condition, but because it is near the boundary line of the two time periods before and after, the statistics will be split into two parts and included in the two time periods before and after, which may cause The unqualified number of days does not meet the alarm conditions, and the alarm is not triggered, so it is ignored, causing certain losses to the enterprise

Method used

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  • Data anomaly statistical alarm method and device and electronic equipment
  • Data anomaly statistical alarm method and device and electronic equipment
  • Data anomaly statistical alarm method and device and electronic equipment

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Effect test

Embodiment 1

[0040] The application provides a statistical alarm method for abnormal data, by adopting a sliding time window, counting the number of target data whose detection results are abnormal among multiple data detected in different time windows, and counting the number of target data in the target data When the quantity is greater than the preset threshold corresponding to the quality level of the data, an alarm signal is generated to prompt the user, thereby effectively alleviating the problem of inaccurate statistics of abnormal data in the prior art.

[0041] see figure 1, the present invention provides a statistical alarm method for data abnormalities, which can be applied to electronic devices with data processing capabilities such as computers, servers, or tablets. When the statistical alarm method for data abnormalities is applied to the electronic devices, the steps S110 to step S140.

[0042] Step S110: Obtain the detection time and detection result of each of the data ob...

Embodiment 2

[0066] Please refer to figure 2 , image 3 with Figure 4 , in this embodiment, taking the time window length of the current time window as one day, the quality level includes the first level, the second level and the third level, and the step duration corresponding to the quality level includes The step duration corresponding to the first level is one hour, the step duration corresponding to the second level is half a day, and the step duration corresponding to the third level is one day as examples for illustration.

[0067] see figure 2 , when the quality level is the first level, the detection time and detection results of each data obtained by detecting multiple data respectively in the natural day are obtained, and the starting time of the statistical current time is 00 of the previous day in the natural day: The quantity of the target data within 24 hours after 00:00, when the quantity of the target data is greater than the preset quantity threshold corresponding t...

Embodiment 3

[0071] The embodiment of the present application also provides a statistical alarm device for abnormal data, including a processor, wherein the processor is configured to execute the following program modules stored in the memory:

[0072] The information obtaining module is used to obtain the detection time and detection result of each of the data obtained by detecting the plurality of data respectively.

[0073] Due to the information acquisition module and figure 1 The implementation principle of step S110 is similar, so no further description is given here.

[0074] Abnormal statistics and alarm module, used to count the quantity of target data in the current time window, and generate an alarm signal to prompt when the quantity of target data obtained by statistics is greater than the preset quantity threshold corresponding to the quality level of the data, wherein , the target data is the data whose detection result is abnormal.

[0075] Due to abnormal statistical alar...

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Abstract

The invention relates to the technical field of data anomaly detection and alarm, particularly relates to a data anomaly statistical alarm method and device and electronic equipment. The problem of alarm missing in the prior art is effectively relieved; therefore, the loss of an enterprise caused by alarm missing is effectively avoided. The method comprises the following steps: obtaining a detection moment and a detection result of each piece of data obtained by respectively detecting the plurality of pieces of data, counting the quantity of the target data in the current time window; when thequantity of the target data obtained by statistics is greater than a preset quantity threshold value corresponding to the quality grade of the data, generating an alarm signal to prompt, moving the current time window backwards according to the stepping duration included in the obtained stepping duration setting rule corresponding to the quality grade of the data, and taking the current time window after backward movement as a new current time window.

Description

technical field [0001] The invention relates to the technical field of data anomaly detection and alarm, in particular to a data anomaly statistical alarm method, device and electronic equipment. Background technique [0002] At present, in the manufacturing industry, the quality of the information of different components or devices or the information exchanged in information exchange (referred to as "data" in the present invention) will have different effects on the overall quality of products or data exchange results. The quality requirements for key data and data that are prone to accidents must be the most stringent, while for some secondary data, the quality requirements can be appropriately reduced. [0003] And for the quality evaluation of data, the traditional method is to calculate the results according to the time period of each natural day, week, and month, and then give an evaluation based on the results. The supplier data quality alarm uses regular statistics ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B19/418
CPCG05B19/4184G05B2219/31088Y02P90/02G06F21/552G06F2221/034
Inventor 林浩生王博吕沙沙谭泽汉郭强张康龙
Owner GREE ELECTRIC APPLIANCES INC
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