CN116595469A - Real-time data abnormality warning method and device and electronic equipment - Google Patents

Real-time data abnormality warning method and device and electronic equipment Download PDF

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Publication number
CN116595469A
CN116595469A CN202310565077.2A CN202310565077A CN116595469A CN 116595469 A CN116595469 A CN 116595469A CN 202310565077 A CN202310565077 A CN 202310565077A CN 116595469 A CN116595469 A CN 116595469A
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data
jitter
responsible person
transmission rate
coefficient
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徐志阳
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Shanghai Zhongtongji Network Technology Co Ltd
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Shanghai Zhongtongji Network Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/243Classification techniques relating to the number of classes
    • G06F18/2433Single-class perspective, e.g. one-against-all classification; Novelty detection; Outlier detection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/3065Monitoring arrangements determined by the means or processing involved in reporting the monitored data
    • G06F11/3072Monitoring arrangements determined by the means or processing involved in reporting the monitored data where the reporting involves data filtering, e.g. pattern matching, time or event triggered, adaptive or policy-based reporting
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Artificial Intelligence (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Quality & Reliability (AREA)
  • Alarm Systems (AREA)

Abstract

The invention relates to a method, a device and electronic equipment for real-time data abnormality warning, belonging to the technical field of data abnormality warning, wherein the method comprises the following steps: acquiring the data transmission rate in a Kafka queue; obtaining a jitter coefficient of data in a preset time period according to the data transmission rate; when the jitter coefficient is larger than a preset threshold value, acquiring a responsible person and a contact corresponding to the preset time period; generating alarm information, and sending the alarm information to the responsible person according to the contact mode; the user can set a jitter threshold value and a responsible person and a contact way according to the development requirement of the real-time data, and the server detects the jitter coefficient of the real-time data, and when the jitter coefficient is larger than the jitter threshold value, alarm information is sent to the responsible person of the corresponding level according to the quantity exceeding the threshold value, so that the cost caused by manpower monitoring is reduced, and the monitoring and rapid and accurate alarm of the real-time data are realized.

Description

Real-time data abnormality warning method and device and electronic equipment
Technical Field
The invention belongs to the technical field of data anomaly alarm, and particularly relates to a method and device for real-time data anomaly alarm and electronic equipment.
Background
At present, in the process of developing real-time data, a data developer needs to clean and calculate the real-time data transmitted from upstream to generate result data, and store the result data into a database. In the series of links, the stability of the upstream transmission data is crucial to the development of the whole real-time data, because once the amount of the upstream data is abnormally increased or reduced, the data can be accumulated or reduced, so that a downstream report is caused to be incapable of effectively displaying the correct data, a data developer is unknowed, the problem processing time is prolonged after the feedback of service personnel, and the influence surface of the problem is enlarged.
Based on the above problems, the stability of real-time data transmission is basically a human monitoring mode, and for enterprises, a large amount of human power is required to monitor in front of massive real-time data, so that the problem that the input of human cost is huge and the alarm cannot be quickly and accurately sent out due to the abnormality of real-time data transmission is caused.
Disclosure of Invention
Therefore, the invention provides a method, a device and electronic equipment for alarming abnormality of real-time data, which are used for solving the problems that the labor cost investment is huge, the alarm can not be sent out rapidly and accurately when the abnormality of the real-time data is abnormal, and the alarm can not be sent out rapidly and accurately when the abnormality of the real-time data is abnormal in the prior art.
In order to achieve the above purpose, the invention adopts the following technical scheme:
in a first aspect, the present invention provides a method for real-time data anomaly alerting, including:
acquiring the data transmission rate in a Kafka queue;
obtaining a jitter coefficient of data in a preset time period according to the data transmission rate;
when the jitter coefficient is larger than a preset threshold value, acquiring a responsible person and a contact corresponding to the preset time period;
generating alarm information and sending the alarm information to the responsible person according to the contact mode.
Further, the obtaining the jitter coefficient of the data in the preset time period according to the data transmission rate includes:
obtaining the average value and standard deviation of the transmission rate of the sampling point in a preset time period according to the data transmission rate;
and taking the ratio of the standard deviation to the mean value as a jitter coefficient.
Further, the acquiring the data transmission rate in the Kafka queue includes:
and acquiring the transmission rate of the data in the Kafka queue through the interface.
Further, when the jitter coefficient is greater than a preset threshold, acquiring a responsible person and a contact corresponding to the preset time period, including:
receiving a threshold value, a responsible person and a contact way of a user in the preset time period set by a page;
and if the jitter coefficient is larger than the threshold value, acquiring the responsible person and the contact way in the preset time period.
Further, the threshold includes the first threshold and the second threshold, the first threshold is smaller than the second threshold, and if the jitter coefficient is greater than the threshold, the acquiring the responsible person and the contact manner in the preset time period includes:
when the jitter coefficient is larger than the first threshold value but smaller than the second threshold value, a first responsible person and a contact way in the responsible persons are obtained;
and when the jitter coefficient is greater than or equal to the second threshold value, acquiring a first responsible person and a contact way and a second responsible person and a contact way in the responsible persons.
Further, the generating the alarm information includes:
and packaging the jitter coefficient, the current time stamp and the ID of the Kafka queue into alarm information.
In a second aspect, the present invention provides an apparatus for real-time data anomaly alerting, including:
the acquisition rate module is used for acquiring the data transmission rate in the Kafka queue;
the jitter calculating module is used for obtaining the jitter coefficient of the data in a preset time period according to the data transmission rate;
the person in charge obtaining module is used for obtaining a person in charge and a contact way corresponding to the preset time period when the jitter coefficient is larger than a preset threshold value;
and the alarm module is used for generating alarm information and sending the alarm information to the responsible person according to the contact mode.
In a third aspect, the present invention provides an electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform any one of the methods of real-time data anomaly alerting described above.
The invention adopts the technical proposal and has at least the following beneficial effects:
the user can set a jitter threshold value and a responsible person and a contact way according to the requirements of real-time data development, and the server detects the jitter coefficient of the real-time data, when the jitter coefficient is larger than the threshold value, the server sends alarm information to the responsible person of a corresponding level according to the quantity exceeding the threshold value, so that automatic abnormal monitoring is realized, the personnel for abnormal monitoring is reduced, the cost caused by manual monitoring is reduced, and the monitoring and rapid and accurate alarm of the real-time data are realized.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention as claimed.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart illustrating a method of real-time data anomaly alerting in accordance with an exemplary embodiment of the present invention;
FIG. 2 is a schematic block diagram of an apparatus for real-time data anomaly alerting shown in another exemplary embodiment of the present invention;
FIG. 3 is a schematic block diagram of an electronic device shown in accordance with an exemplary embodiment of the present invention;
the invention is further described below with reference to the drawings and the detailed description.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, based on the examples herein, which are within the scope of the invention as defined by the claims, will be within the scope of the invention as defined by the claims.
At present, whether a third party professional data development platform or an enterprise self-built platform is adopted, the stability of real-time data transmission is basically in a human monitoring mode, and for enterprises, a large amount of human power is required to monitor in front of massive real-time data, so that the problem that the human cost is huge, and an alarm cannot be quickly and accurately sent out due to abnormality of real-time data transmission is caused.
The embodiment of the invention provides a method, a device and electronic equipment for alarming abnormality of real-time data, wherein a user can set a jitter threshold value, a responsible person and a contact way according to the development requirement of the real-time data, a server detects the jitter coefficient of the real-time data, and when the jitter coefficient is larger than the jitter threshold value, alarming information is sent to the responsible person of a corresponding level according to the quantity exceeding the threshold value, so that the cost caused by manpower monitoring is reduced, and the monitoring and rapid and accurate alarming of the real-time data are realized.
The method for pushing the message in real time in the invention is described below by a specific embodiment.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for real-time data anomaly alerting according to an exemplary embodiment of the present invention, and referring to fig. 1, the method includes:
step S11, acquiring data transmission rate in a Kafka queue;
step S12, obtaining a jitter coefficient of data in a preset time period according to the data transmission rate;
step S13, when the jitter coefficient is larger than a preset threshold value, acquiring a responsible person and a contact way corresponding to a preset time period;
and S14, generating alarm information, and sending the alarm information to a responsible person according to the contact mode.
It should be noted that, in specific practice, the technical solution provided in this embodiment may be loaded in the project in the form of an applet or in the form of an add-in, or may provide a service interface in the form of an independent program for use. Suitable scenarios include, but are not limited to: and (5) large data development platform and real-time data development.
Specifically, the user can set the jitter threshold and the responsible person and contact way according to the real-time data development requirement through the form of filling the form of the page.
It can be appreciated that, according to the technical scheme provided by the embodiment, the server detects the jitter coefficient of the real-time data, when the jitter coefficient is greater than the jitter threshold set by the user, the server sends the alarm information to the responsible person of the corresponding level according to the amount exceeding the threshold, so that automatic anomaly monitoring is realized, and the personnel for anomaly monitoring are reduced, thereby reducing the cost caused by manual monitoring, and realizing monitoring of the real-time data and quick and accurate alarm.
In specific practice, the "acquire data transmission rate in Kafka queue" in step S11 may be: and acquiring the transmission rate of the data in the Kafka queue through the interface.
Specifically, a timing task is started in a server, data in a Kafka queue is scanned at fixed time, and the transmission rate of the data in the Kafka queue is obtained in an interface mode.
It can be understood that, according to the technical scheme provided by the embodiment, the transmission rate of the data in the Kafka queue is obtained by setting the timing task, so that basic data is provided for the subsequent calculation of the jitter coefficient.
In specific practice, the step S12 of obtaining the jitter coefficient of the data of the preset period according to the data transmission rate includes:
obtaining the average value and standard deviation of the transmission rate of the sampling point in a preset time period according to the data transmission rate;
the ratio of standard deviation to mean is taken as the jitter coefficient.
It should be noted that, the timing task may acquire the transmission rate at regular time, and each time the transmission rate is acquired, a sampling point may be generated for calculating the average value and standard deviation of the transmission rate; specifically, after the transmission rate of data in the Kafka queue is obtained in an interface mode, the transmission rate of a time node corresponding to a sampling point in the Kafka queue is taken out and used as the transmission rate of the sampling point; sampling points contained in a preset time period are obtained, and standard deviation of the transmission rate of the sampling points is calculated according to a standard deviation algorithm; calculating the average value of the transmission rate of the sampling point; the standard deviation is divided by the mean to obtain the jitter coefficient.
It can be understood that, according to the technical scheme provided by the embodiment, the transmission rate of the sampling point is obtained through a timing task, the jitter coefficient of data transmission is obtained through calculation, and the data in the Kafka queue is monitored in real time.
In specific practice, in step S13, "when the jitter coefficient is greater than a preset threshold value, the responsible person and the contact corresponding to the preset time period are obtained, including:
receiving a threshold value, a responsible person and a contact way of a preset time period set by a user on a page;
and if the jitter coefficient is greater than the threshold value, acquiring a responsible person and a contact way in a preset time period.
Specifically, the threshold includes a first threshold and a second threshold, the first threshold is smaller than the second threshold, if the shake coefficient is larger than the threshold, when the shake coefficient is larger than the first threshold but smaller than the second threshold, the first responsible person and the contact way in the responsible person are obtained, and when the shake coefficient is larger than or equal to the second threshold, the first responsible person and the contact way in the responsible person and the second responsible person and the contact way in the responsible person are obtained.
It should be noted that, when the user sets the responsible person and the contact way according to the time period, that is, the responsible person set in the time period belongs to the duty state, and when the data is abnormal, an alarm is sent to the responsible person in the duty state; people with different processing levels are arranged in the responsible person on duty, when the jitter coefficient only exceeds the first threshold value and does not exceed the second threshold value, the person on duty can be regarded as abnormal data, and the alarm information is only sent to the responsible person with low level processing; when the jitter coefficient exceeds a second threshold value, the data abnormality is serious, and the alarm information is sent to the low-level processing responsible person and also sent to the high-level processing responsible person.
It can be understood that the technical scheme provided by the embodiment automatically monitors the data abnormality at regular time, can alarm the corresponding responsible person according to the severity of the data abnormality condition, and realizes the timeliness of the alarm.
In specific practice, in step S14, "generate alert information, send the alert information to the responsible person according to the contact manner", specifically generate alert information, including:
and packaging the jitter coefficient, the current time stamp and the ID of the Kafka queue into alarm information.
Specifically, when abnormal data alarm occurs, the jitter coefficient, the current time stamp and the ID of the Kafka queue are packaged into alarm information and then sent to a notification center, and the notification center sends the alarm information according to the acquired responsible person and contact way.
It should be noted that, the jitter coefficient in the alarm information may reflect the severity of the data anomaly, the timestamp reflects the specific anomaly time period, and the ID of the Kafka queue is the accurate location of the data anomaly.
It can be understood that, according to the technical scheme provided by the embodiment, the information contained in the alarm information can intuitively reflect the abnormal condition of the data, so that accurate alarm is realized from the time dimension and the abnormal position of the data, and the related responsible person can master the condition more quickly so as to deal with the situation.
Referring to fig. 2, fig. 2 is a schematic block diagram of an apparatus for real-time data anomaly alerting, and referring to fig. 2, an apparatus 100 for real-time data anomaly alerting according to another exemplary embodiment of the present invention includes:
an acquisition rate module 101, configured to acquire a data transmission rate in the Kafka queue;
a jitter calculation module 102, configured to obtain a jitter coefficient of data in a preset time period according to a data transmission rate;
the person in charge acquiring module 103 is configured to acquire a person in charge and a contact corresponding to a preset time period when the jitter coefficient is greater than a preset threshold;
and the alarm module 104 is used for generating alarm information and sending the alarm information to the responsible person according to the contact mode.
The technical scheme provided by the embodiment can be loaded in the project in the form of an applet or in the form of a plug-in specific practice, or can be used for providing a service interface in the form of an independent program. Suitable scenarios include, but are not limited to: and (5) large data development platform and real-time data development.
Specifically, the user can set the jitter threshold and the responsible person and contact way according to the real-time data development requirement through the form of filling the form of the page.
It can be appreciated that, according to the technical scheme provided by the embodiment, the server detects the jitter coefficient of the real-time data, when the jitter coefficient is greater than the jitter threshold set by the user, the server sends the alarm information to the responsible person of the corresponding level according to the amount exceeding the threshold, so that automatic anomaly monitoring is realized, and the personnel for anomaly monitoring are reduced, thereby reducing the cost caused by manual monitoring, and realizing monitoring of the real-time data and quick and accurate alarm.
Referring to fig. 3, fig. 3 is a schematic block diagram of an electronic device according to an exemplary embodiment of the present invention, and referring to fig. 3, the electronic device includes:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform any one of the methods of real-time data anomaly alerting described above.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," 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 present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.

Claims (8)

1. A method for real-time data anomaly alerting, comprising:
acquiring the data transmission rate in a Kafka queue;
obtaining a jitter coefficient of data in a preset time period according to the data transmission rate;
when the jitter coefficient is larger than a preset threshold value, acquiring a responsible person and a contact corresponding to the preset time period;
generating alarm information and sending the alarm information to the responsible person according to the contact mode.
2. The method according to claim 1, wherein obtaining the jitter coefficient of the data of the preset period according to the data transmission rate comprises:
obtaining the average value and standard deviation of the transmission rate of the sampling point in a preset time period according to the data transmission rate;
and taking the ratio of the standard deviation to the mean value as a jitter coefficient.
3. The method of claim 1, wherein the obtaining the data transmission rate in the Kafka queue comprises:
and acquiring the transmission rate of the data in the Kafka queue through the interface.
4. The method according to claim 2, wherein when the jitter coefficient is greater than a preset threshold, the step of obtaining the responsible person and the contact corresponding to the preset time period includes:
receiving a threshold value, a responsible person and a contact way of a user in the preset time period set by a page;
and if the jitter coefficient is larger than the threshold value, acquiring the responsible person and the contact way in the preset time period.
5. The method of claim 4, wherein the threshold includes the first threshold and the second threshold, the first threshold is smaller than the second threshold, and the obtaining the responsible person and the contact for the preset time period if the jitter coefficient is greater than the threshold includes:
when the jitter coefficient is larger than the first threshold value but smaller than the second threshold value, a first responsible person and a contact way in the responsible persons are obtained;
and when the jitter coefficient is greater than or equal to the second threshold value, acquiring a first responsible person and a contact way and a second responsible person and a contact way in the responsible persons.
6. The method of claim 5, wherein generating the alert information comprises:
and packaging the jitter coefficient, the current time stamp and the ID of the Kafka queue into alarm information.
7. An apparatus for real-time data anomaly alerting, comprising:
the acquisition rate module is used for acquiring the data transmission rate in the Kafka queue;
the jitter calculating module is used for obtaining the jitter coefficient of the data in a preset time period according to the data transmission rate;
the person in charge obtaining module is used for obtaining a person in charge and a contact way corresponding to the preset time period when the jitter coefficient is larger than a preset threshold value;
and the alarm module is used for generating alarm information and sending the alarm information to the responsible person according to the contact mode.
8. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-6.
CN202310565077.2A 2023-05-18 2023-05-18 Real-time data abnormality warning method and device and electronic equipment Pending CN116595469A (en)

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Application Number Priority Date Filing Date Title
CN202310565077.2A CN116595469A (en) 2023-05-18 2023-05-18 Real-time data abnormality warning method and device and electronic equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310565077.2A CN116595469A (en) 2023-05-18 2023-05-18 Real-time data abnormality warning method and device and electronic equipment

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117553855A (en) * 2023-11-21 2024-02-13 苏州市润凯汽车配件制造有限公司 Clutch joint detection method and system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117553855A (en) * 2023-11-21 2024-02-13 苏州市润凯汽车配件制造有限公司 Clutch joint detection method and system
CN117553855B (en) * 2023-11-21 2024-05-14 苏州市润凯汽车配件制造有限公司 Clutch joint detection method and system

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