CN112312209B - Comprehensive alarm generation method, device, server and storage medium - Google Patents
Comprehensive alarm generation method, device, server and storage medium Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/4425—Monitoring of client processing errors or hardware failure
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
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- H04N21/8126—Monomedia components thereof involving additional data, e.g. news, sports, stocks, weather forecasts
- H04N21/814—Monomedia components thereof involving additional data, e.g. news, sports, stocks, weather forecasts comprising emergency warnings
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Abstract
The embodiment of the invention relates to the field of data processing and discloses a comprehensive alarm generation method. The method comprises the steps of obtaining the total number of audience users and the total number of alarm users according to messages meeting preset conditions, wherein the messages are obtained from a plurality of set top boxes in a preset time period, and the messages comprise alarm messages and audience messages; acquiring real-time alarm coverage rate according to the total number of the audience users and the total number of the alarm users; judging whether to generate a comprehensive alarm according to the real-time alarm coverage rate and the historical average alarm coverage rate; the historical average alarm coverage rate is obtained according to the total number of audience users and the total number of alarm users of the historical messages meeting the preset conditions. And judging whether the associated set top box generates the comprehensive alarm or not by analyzing the historical data and the real-time data to obtain the reason that the set top box generates the alarm.
Description
Technical Field
The embodiment of the invention relates to the technical analysis field of big data, in particular to a comprehensive alarm generation method, a device, a server and a storage medium.
Background
With the development of digital televisions, the set top boxes are increasingly popular, the occurrence of faults of the set top boxes can generate adverse effects on the video watching experiments of users, the current mainstream set top boxes can generate logs, and when fault detection is carried out, related technologies can analyze and obtain alarm reasons according to the logs generated by the current set top boxes.
However, the inventors found that the related art has the following problems: the related technology only carries out fault analysis on a single set top box, only detects the reason that the single set top box gives an alarm, does not analyze the set top box with the association, and is inconvenient to obtain the reason that the set top box gives an alarm.
Disclosure of Invention
The embodiment of the invention aims to provide a comprehensive alarm generation method, which is used for judging whether the associated set top box generates a comprehensive alarm or not by analyzing historical data and real-time data to obtain the reason for the occurrence of the alarm of the set top box.
In order to solve the technical problems, the embodiment of the invention provides a comprehensive alarm generation method, which comprises the following steps: obtaining the total number of audience users and the total number of alarm users according to messages meeting preset conditions, wherein the messages are obtained from a plurality of set top boxes in a preset time period, and the messages comprise alarm messages and audience messages; acquiring real-time alarm coverage rate according to the total number of the audience users and the total number of the alarm users; judging whether to generate a comprehensive alarm according to the real-time alarm coverage rate and the historical average alarm coverage rate; the historical average alarm coverage rate is obtained according to the total number of audience users and the total number of alarm users of the historical messages meeting the preset conditions.
The embodiment of the invention also provides a comprehensive alarm generating device, which comprises: the system comprises a user total number acquisition module, a user total number acquisition module and a user total number processing module, wherein the user total number acquisition module is used for acquiring the total number of viewing users and the total number of warning users according to messages meeting preset conditions, the messages are acquired from a plurality of set top boxes in a preset time period, and the messages comprise warning messages and viewing messages; the real-time alarm coverage rate acquisition module is used for acquiring the real-time alarm coverage rate according to the total number of the audience users and the total number of the alarm users; and the comprehensive alarm generation module is used for judging whether to generate a comprehensive alarm according to the real-time alarm coverage rate and the historical average alarm coverage rate, wherein the historical average alarm coverage rate is obtained according to the total number of audience users and the total number of alarm users of the historical messages meeting the preset conditions.
The embodiment of the invention also provides a server, which comprises: 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 integrated alarm generation method described above.
The embodiment of the invention also provides a computer readable storage medium which stores a computer program, and the computer program realizes the comprehensive alarm generation method when being executed by a processor.
According to the embodiment of the invention, the message of the plurality of set top boxes in the preset time period is obtained, the total number of viewing users and the total number of alarming users are obtained according to the message meeting the preset condition, so that the plurality of set top boxes are related, then the real-time alarming coverage rate is obtained according to the number of viewing users and the number of alarming users, whether the comprehensive alarming is generated is judged according to the real-time alarming coverage rate and the historical average alarming coverage rate, the alarming coverage rate obtained by combining the history can be combined, the set top boxes sending the message meeting the preset condition can be judged whether the comprehensive alarming is generated, the alarming of the single set top box is not analyzed any more, the alarming of the related set top boxes can be analyzed, and the reasons of the alarming of the set top boxes can be conveniently obtained.
In addition, the historical average alarm coverage rate is obtained according to the total number of audience users and the total number of alarm users of the historical messages meeting the preset condition, and the method comprises the following steps: acquiring a historical alarm coverage rate set according to the total number of audience users and the total number of alarm users of the historical messages meeting the preset conditions; removing abnormal values from the alarm coverage rate set; and acquiring historical average alarm coverage rate according to the alarm coverage rate set from which the abnormal value is eliminated. In the implementation, abnormal alarm coverage caused by conditions such as human factors can be removed, so that the calculated historical average alarm coverage is more accurate, and the judgment on whether to generate the comprehensive alarm is more accurate.
In addition, before the total number of the audience users and the total number of the alarm users are obtained according to the message meeting the preset condition, the method comprises the following steps: analyzing the messages acquired from the plurality of set top boxes within a preset time period to obtain basic attribute value combinations and alarm information of each message; determining the alarm type of each message according to the alarm information of each message; the preset conditions include: with the same alarm type and basic attribute value combinations. In the implementation, the total number of viewing users and the total number of alarming users are obtained according to the messages with the same basic attribute value combination and the same alarming type, the alarming coverage rate of different categories can be obtained according to different combinations, and whether the comprehensive alarming of the category is generated or not can be judged according to the alarming coverage rate of different categories, so that the comprehensive alarming of the category can be subjected to fault analysis, and the set top boxes corresponding to the different attribute combinations and the alarming types can be subjected to fault analysis.
In addition, the determining the alarm type of each message according to the alarm information of each message includes: detecting whether the alarm information is matched with a preset alarm type condition or not; if the alarm information is matched with the preset alarm type condition, acquiring an alarm type corresponding to the matched alarm type condition as an alarm type of a message to which the alarm information belongs; and presetting setting of the corresponding relation between the alarm type condition and the alarm type. In the implementation, whether the alarm information of the message is matched with the preset alarm type condition is detected, so that the alarm type of the message to which the alarm information belongs and the condition generated by the alarm type are obtained, and the reason for generating the set top box alarm is conveniently obtained.
In addition, the judging whether to generate the comprehensive alarm according to the real-time alarm coverage rate and the historical average alarm coverage rate includes: if the real-time alarm coverage rate is larger than the historical average alarm coverage rate, generating a comprehensive alarm; and if the real-time alarm coverage rate is not greater than the historical average alarm coverage rate, judging whether to end the comprehensive alarm according to the historical comprehensive alarm condition. In the implementation, if the real-time alarm coverage rate is not greater than the historical average alarm coverage rate, judging whether to end the comprehensive alarm according to the historical comprehensive alarm condition, and considering the condition of large-scale comprehensive alarm caused by accidental phenomenon.
In addition, the generating the integrated alarm includes: generating an alarm level according to the ratio of the real-time alarm coverage rate to the historical average alarm coverage rate; and generating a comprehensive alarm according to the alarm level. In the implementation, the alarm level is judged, so that when a large number of alarms are generated, information such as equipment relevant to the alarms which pay attention to in time can be found according to the alarm level.
In addition, after generating the alarm level according to the ratio of the real-time alarm coverage rate to the historical average alarm coverage rate, the method further comprises the following steps: if the alarm level is lower than the historical alarm level, recording the alarm level; and if the alarm level is not lower than the historical alarm level, replacing the historical alarm level with the alarm level. In the implementation, when the judged current alarm level is lower than the historical alarm level, the current alarm level is recorded without covering the current historical alarm level, so that when the system judges the comprehensive alarm to be finished, a user can conveniently determine the severity of the comprehensive alarm according to the recorded historical alarm level.
Drawings
One or more embodiments are illustrated by way of example and not limitation in the figures of the accompanying drawings.
FIG. 1 is a flowchart of a synthetic alert generation method according to a first embodiment of the present invention;
FIG. 2 is a flowchart of a synthetic alert generation method according to a second embodiment of the present invention;
FIG. 3 is a flowchart for eliminating outliers in the integrated alarm generation method according to a second embodiment of the present invention;
FIG. 4 is a flowchart of a synthetic alert generation method according to a third embodiment of the present invention;
FIG. 5 is an interactive graph of integrated alarm generation method data according to a third embodiment of the present invention;
FIG. 6 is a schematic structural view of a comprehensive alarm generating apparatus according to a fourth embodiment of the present invention;
fig. 7 is a schematic diagram of a structure of a server according to a fifth embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the following detailed description of the embodiments of the present invention will be given with reference to the accompanying drawings. However, those of ordinary skill in the art will understand that in various embodiments of the present invention, numerous technical details have been set forth in order to provide a better understanding of the present application. However, the technical solutions claimed in the present application can be implemented without these technical details and with various changes and modifications based on the following embodiments. The following embodiments are divided for convenience of description, and should not be construed as limiting the specific implementation of the present invention, and the embodiments can be mutually combined and referred to without contradiction.
The first embodiment of the present invention relates to a comprehensive alarm generating method, which can be applied to a server, but is not limited thereto. The method comprises the following steps: obtaining the total number of audience users and the total number of alarm users according to messages meeting preset conditions, wherein the messages are obtained from a plurality of set top boxes in a preset time period, and the messages comprise alarm messages and audience messages; acquiring real-time alarm coverage rate according to the total number of the audience users and the total number of the alarm users; judging whether to generate a comprehensive alarm according to the real-time alarm coverage rate and the historical average alarm coverage rate; the historical average alarm coverage rate is obtained according to the total number of audience users and the total number of alarm users of the historical messages meeting the preset conditions. The method comprises the steps of obtaining messages of a plurality of set top boxes within a preset time period, obtaining the total number of viewing users and the total number of alarming users according to the messages meeting preset conditions, associating the plurality of set top boxes, obtaining real-time alarming coverage according to the number of viewing users and the number of alarming users, judging whether comprehensive alarming is generated according to the real-time alarming coverage and historical average alarming coverage, judging whether the set top boxes sending the messages meeting the preset conditions generate comprehensive alarming according to the alarming coverage obtained by combining the history, analyzing the alarming of the single set top box, analyzing the alarming of the associated set top boxes, and conveniently obtaining the reasons of alarming of the set top boxes. The following details of implementation of the partition splitting method according to the first embodiment of the present invention are provided only for convenience of understanding, and are not necessary to implement the present embodiment.
In this embodiment, the server needs to perform the following processing on the message reported by the set top box: and sending the message reported by the set top box to the Kafka message cluster, applying a restful interface to a receiving interface of the message reported by the set top box, writing data reported by the set top box into a local file, then installing a message sending component similar to Logflash on a server for receiving the message, and sending the message content of the local file written by the restful interface to the Kafka cluster by using the message sending component.
And reading the data reported by the last module in a mode of directly connecting SparkStreaming with the Kafka cluster, and then performing marking analysis on various data. That is, the timestamp in the set-top box log message is obtained and converted to a time that can be directly read, such as 1583141880000, to a time 2020-03-02 17:38:00, so the time can be labeled 2020030217.
Then, acquiring alarm information from the message, and detecting whether the alarm information is matched with a preset alarm type condition; if the alarm information is matched with the preset alarm type condition, acquiring an alarm type corresponding to the matched alarm type condition as an alarm type of a message to which the alarm information belongs; the corresponding relation between the alarm type condition and the alarm type is preset, for example:
if the alarm information meets the first alarm type condition, the alarm type is a home local area network problem, and the first alarm type condition comprises any one or combination of the following: the wireless signal is below a certain threshold, e.g., -60, the average wireless strength is below a certain threshold, e.g., -58, the ping gateway packet loss rate is greater than 0, or the maximum delay is greater than a certain threshold, e.g., 80ms;
if the alarm information meets the second alarm type condition, the alarm type is a performance problem of the set top box, and the second alarm type condition comprises any one or combination of the following: cpu utilization is greater than a certain threshold, such as eighty percent, and memory utilization is greater than a certain threshold, such as eighty percent;
if the alarm information meets a third alarm type condition, the alarm type is a CDN (Content Delivery Network ) problem, and the third alarm type condition includes any one or a combination of the following: the M3U8 file request response error is greater than a certain threshold, such as 0, and the number of media file fragmentation request errors is greater than a certain threshold, such as 0;
if the alert information meets a fourth alert type condition, the alert type is a platform problem, the fourth alert type condition including an ICP (Internet Content Provider, web content service provider) maximum retransmission rate less than a certain threshold, e.g., 0.01, and any one or combination of: the number of connection establishment failures of the M3U8 file TCP is 0, the number of response timeout times of the M3U8 file request is greater than 0, the number of non-response times of the M3U8 file request is greater than 0, the average time delay of the HTTP request of the M3U8 file is greater than a certain threshold, the program code rate is greater than the minimum value of the program downloading speed, the number of connection establishment failures of the CDN node TCP of the TS (Terminal Services, terminal service) is greater than 0, the number of non-response times of the HTTP request of the CDN node program is greater than 0, the number of response timeout times of the HTTP request of the CDN node program is greater than 0, and the average time delay of the HTTP request response of the CDN node program is greater than a certain threshold.
If the alarm information meets the fifth alarm type condition, the alarm type is a transmission network problem, and the fifth alarm type condition comprises any one or combination of the following: the TCP three-way handshake time period is longer than a certain preset threshold, the TCP maximum retransmission rate is not smaller than a certain preset threshold, for example, 0.03, the TCP maximum out-of-order rate is not smaller than a certain threshold, for example, 0.06, and the average value of the program download speed is smaller than a certain threshold, for example, 4194304bps.
If none of the above alarm type conditions is satisfied, the alarm type is other problems.
And acquiring the basic attribute reported by the current set top box from the message, and recording the basic attribute value, wherein the basic attribute comprises the information of the region where the current set top box is located, the manufacturer of the set top box, the license plate party of the program, the model of the set top box, the Url of the program and the like.
And storing the obtained alarm types, the preset alarm type conditions met, the unique codes of the set top box in the message, the report time of the viewing message and the alarm message, the basic attribute values and other information into an HBase database.
Determining whether the message is a viewing message or an alarm message to determine the number of viewing users and alarm users, and storing the time obtained by adding the basic attribute value and the conversion into MongoDB, wherein the information stored in MongoDB is shown in the following table 1:
list one
The number of the alarm users in the table is obtained by statistics according to basic attribute values such as license plate side codes, city codes, manufacturer codes, time, set top box models, program URLs and alarm messages with the same alarm types, and the number of the audience users is obtained by statistics according to license plate side codes, city codes, manufacturer codes, time, set top box models and audience messages with the same program URLs, for example, a line record example of MongoDB is as follows:
the record represents that license plate party code is CNTV, city code is Wu Hou Ou in Chengdu, manufacturer code is beacon, manufacturer code is CM201-2, program URL is "http:// 117.146.223.183/888888/16// 26919469. Ts", viewing user number in the period of 2020040210 is 264, and alarm user number of alarm type is 9600 for CDN problem alarm.
The data in MongoDB are classified according to different combination relations between five fields of license plate coding cpcode, city coding area code, manufacturer coding stbcode, manufacturer coding model and program URLprogram, namely basic attribute value combination and alarm type, and meanwhile, alarm coverage rate of different time datetime based on the above conditions is obtained by using the number of alarm users/number of viewing users, for example, alarm data of a home local area network forming an urban Wu Houou is obtained through calculation, and is expressed in JSON format for expressing the following data clearly, and can also be expressed according to formats such as objects:
the above data shows that in Chengdu Hou Ou, the alarm type is home LAN problem, the alarm coverage is 0.352 at time 2020040210, the alarm coverage is 0.354 at time 2020040110, the alarm coverage is 0.337 at time 2020040211, and the alarm coverage is 0.341 at time 2020040211.
And intercepting the hour field, namely the last two bits of time, for example 2020040211, from the obtained alarmcoverage, intercepting the hour field to obtain 11, collecting the same formed historical alarm coverage rate of the hour field, for example 11 in the hour field, hou Ou in Chengdu city, 0.337,0.331 in the alarm type of historical alarm coverage rate set formed in the home local area network problem, taking the average value as the basic attribute combination, and collecting the historical alarm coverage rate of 11 under the alarm type.
Historical alarm coverage rates obtained by combining different basic attributes and alarm types are stored in MongoDB as shown in Table 2.
TABLE 2
1 | cpcode | String | License plate square code |
2 | areacode | String | City code |
3 | stbcode | String | Vendor code |
4 | datetime | Int | Time (hours: HH), |
5 | model | String | set top box model |
6 | warntype | String | Alarm type |
7 | coverage | Double | Alarm coverage |
Taking MongoDB Beijing Kogyo CDN problem alarm coverage rate of 10 points of the problem alarm problem as an example of 0.353, the stored data are as follows:
through the processing flow of the message uploaded by the set top box, the server can acquire the alarm type, the basic attribute value, the message uploading time and related data such as the alarm coverage rate and the like of the message according to the combination of the alarm type and the basic attribute value, so as to be used for generating the comprehensive alarm. The specific flow of the comprehensive alarm generation method of this embodiment is shown in fig. 1.
And step 101, obtaining the total number of audience users and the total number of alarm users according to the messages meeting the preset conditions. The message is obtained from a plurality of set top boxes in a preset time period, and comprises an alarm message and a viewing message.
In one example, in the step of preprocessing the data, after processing the message data, storing the corresponding data in an HBase database, wherein the HBase stores alarm types, alarm types conditions of message matching, a set top box in the message uniquely encodes deviceid, viewing messages and alarm message reporting time, the message meeting preset conditions can be searched from the HBase database, the number of viewing users of each message meeting the preset conditions is accumulated, the total number of viewing users of the message meeting the preset conditions is obtained, and similarly, the total number of alarm users of each message meeting the preset conditions is accumulated, so that the total number of alarm users of the message meeting the preset conditions is obtained.
In one example, the preset condition includes: with the same alarm type and the same attribute value combination.
Taking city codes and alarm types as examples, the city codes are Beijing Kogyo areas, the alarm types are CDN alarms, the data of the alarm types and the city codes are searched in an HBase database, the preset time period is 20 minutes, and the total number of viewing users and the total number of alarm users from the current time period to 20 minutes before the current time period are obtained.
And 102, acquiring real-time alarm coverage rate according to the total number of the audience users and the total number of the alarm users.
In one example, the total number of alert users obtained in step 101 is divided by the total number of viewing users to obtain the real-time alert coverage.
And step 103, judging whether to generate comprehensive alarms according to the real-time alarm coverage rate and the historical average alarm coverage rate, wherein the historical average alarm coverage rate is obtained according to the total number of audience users and the total number of alarm users of the historical messages meeting the preset conditions.
In this embodiment, the historical average coverage rate may be obtained according to the data stored in the mongo db database, and the step of preprocessing the data by the mongo db is already described, which is not described herein.
For example, if the current time is between zero point and one point, obtaining a city code from a MongoDB database as a Beijing Korea, and the alarm type is CDN alarm, averaging a historical alarm coverage rate set from zero point to 1 point, obtaining a historical average alarm coverage rate, and comparing the historical average alarm coverage rate with a real-time alarm coverage rate.
In addition, in one example, if the real-time alert coverage is greater than the historical average alert coverage, generating a composite alert; and if the real-time alarm coverage rate is not greater than the historical average alarm coverage rate, judging whether to end the comprehensive alarm according to the historical comprehensive alarm condition. The historical comprehensive alarm condition refers to whether the comprehensive alarm which has the same alarm type, basic attribute and time as the real-time alarm coverage rate exists in the range and the current time is not finished.
Taking the real-time alarm coverage rate from zero to 1 point as an example, taking the real-time alarm coverage rate of the Beijing Kogyo area as the CDN alarm, ending the comprehensive alarm if the real-time alarm coverage rate is not greater than the historical average alarm coverage rate and the comprehensive alarm which is not ended exists in the current range, deleting the comprehensive alarm information which is related to the non-ended in the HBase, such as a basic attribute value, time, alarm type and set top box associated with the alarm, wherein the deleted comprehensive alarm information in the example is as follows: and in the morning sun area of Beijing city, CDN problem alarming, time and associated set top box models, if the real-time alarming coverage rate is larger than the historical average alarming coverage rate, generating comprehensive alarming, and if no finished comprehensive alarming exists in the current range, storing comprehensive alarming information into an HBase database. When the finished comprehensive alarm does not exist in the current range, the comprehensive alarm information is stored in the database to avoid redundancy of the data stored in the database.
If the CDN problem alarm is generated in the Beijing Korea according to the discovery, maintenance personnel can analyze the related network of the Beijing Korea according to the alarm type conditions which are met by specific equipment associated with the CDN problem alarm and HBase, and the fault analysis for a set top box can be made, so that the alarm problem of the set top box can be conveniently solved.
The embodiment is a one-time comprehensive alarm generation process, and different ranges, namely different basic attribute value combinations and comprehensive alarms of different alarm types, can be determined according to the data of the database.
In addition, the database and the frame, the components and the like used in the embodiment are only for easy understanding, and do not limit the technical scheme.
The embodiment of the invention stores the audience alarm number in a classifying way and judges the comprehensive alarm of the set top box according to the historical alarm coverage rate, and the alarm of the associated set top box is analyzed instead of only analyzing the alarm of a single set top box, so that the reason for the occurrence of the alarm of the set top box is conveniently obtained.
A second embodiment of the present invention relates to a comprehensive alarm method. The second embodiment is substantially the same as the first embodiment, and differs mainly in that: in a second embodiment of the present invention, a history alert coverage collection is obtained according to the total number of viewing users and the total number of alert users of a history message satisfying a preset condition; removing abnormal values from the alarm coverage rate set; and acquiring historical average alarm coverage rate according to the alarm coverage rate set from which the abnormal value is eliminated.
A specific flow chart of a second embodiment of the invention is shown in fig. 2.
Step 201, obtaining a historical alarm coverage rate set according to the total number of audience users and the total number of alarm users of the historical messages meeting the preset conditions.
Step 201 of acquiring the historical alert coverage is substantially the same as the embodiment of acquiring the historical alert coverage set, and will not be described here again.
And 202, eliminating abnormal values in the alarm coverage rate set.
In one example, the outliers are removed using the glaubes criterion method, and other methods may be used, and the embodiment uses the glaubes criterion method as an example, as shown in fig. 3.
In a substep 301, the alarm coverage sets are ordered.
In a substep 302, the mean and standard deviation of the alert coverage set are obtained.
In a substep 303, a maximum deviation value is obtained. And comparing the deviation value obtained by subtracting the average value from the maximum value obtained by sequencing with the deviation value obtained by subtracting the average value from the minimum value obtained by sequencing, wherein the maximum value of the deviation values is the maximum deviation value.
Substep 304 of determining whether the maximum deviation divided by the standard deviation is greater than G 95 (n)。G 95 (n) can be found in a glabros table. If the alarm coverage corresponding to the maximum deviation value is greater than the abnormal value, executing the substep 305, otherwise, entering the substep 306.
In a substep 305, outliers are culled. Specifically, the alert coverage corresponding to the maximum deviation value is eliminated, and then sub-step 301 is performed.
In a substep 306, a set of alert coverage values is obtained that eliminates outliers.
After the alarm coverage rate set with the outliers removed is obtained, step 203 is entered, and the historical average alarm coverage rate is obtained according to the alarm coverage rate set with the outliers removed.
In one example, an average of historical alert coverage rates in the set of historical alert coverage rates that eliminates the outliers is calculated to obtain a historical average alert coverage rate.
Step 204, obtaining the total number of audience users and the total number of alarm users according to the messages meeting the preset conditions.
And step 205, acquiring real-time alarm coverage rate according to the total number of the audience users and the total number of the alarm users.
And step 206, judging whether to generate the comprehensive alarm according to the real-time alarm coverage rate and the historical alarm coverage rate.
Steps 204 to 206 are substantially the same as steps 101 to 103 in the first embodiment, and will not be repeated here.
When the historical average alarm coverage rate is calculated, the abnormal value is removed, the abnormal alarm coverage rate caused by factors and the like can be removed, the calculated historical average alarm coverage rate is more accurate, and therefore the judgment on whether to generate the comprehensive alarm is more accurate.
A third embodiment of the present invention relates to a comprehensive alarm method. The third embodiment is substantially the same as the second embodiment, and the main difference is that the third embodiment generates an alarm level according to the ratio of the real-time alarm coverage rate and the historical average alarm coverage rate after determining that the integrated alarm is generated.
A specific flow chart of a third embodiment of the invention is shown in fig. 4.
Step 401, obtaining a historical alarm coverage rate set according to the total number of audience users and the total number of alarm users of the historical messages meeting the preset conditions.
And step 402, eliminating abnormal values in the alarm coverage rate set.
And step 403, obtaining historical average alarm coverage according to the alarm coverage collection from which the abnormal values are removed.
Step 404, obtaining the total number of audience users and the total number of alarm users according to the message meeting the preset condition.
And step 405, acquiring real-time alarm coverage rate according to the total number of the audience users and the total number of the alarm users.
And step 406, judging whether to generate the comprehensive alarm according to the real-time alarm coverage rate and the historical alarm coverage rate. If an integrated alarm is generated, step 407 is performed.
Step 401 is substantially the same as step 406 and will not be described in detail herein.
Step 407, generating an alarm level according to the ratio of the real-time alarm coverage rate and the historical average alarm coverage rate.
In one example, if the alert level is below a historical alert level, recording the alert level; and if the alarm level is not lower than the historical alarm level, replacing the historical alarm level with the alarm level. If the historical comprehensive alarm is not generated, recording the current comprehensive alarm level.
In one example, the alarm level is generated according to the ratio of the real-time alarm coverage rate to the historical average alarm coverage rate, that is, the alarm level value is obtained by dividing the difference between the real-time alarm coverage rate and the historical average alarm coverage rate by the historical average alarm coverage rate, and the alarm level is obtained according to the alarm level value, for example:
if the alarm level value meets the first preset alarm level range, the alarm is a low-level alarm;
if the alarm level value meets the second preset alarm level range, the alarm is a medium-level alarm;
and if the alarm level value meets the third preset alarm level range, the alarm level value is a grade alarm.
In one example, the first preset alert level range may be 0% -57% (excluding 57%), the second preset alert level range may be 57% -135% (excluding 135%), the third preset alert level range may be 135% or more, and the alert level ranges are shown in Table 3.
TABLE 3 Table 3
Alarm level | (alert coverage-historic baseline)/historic baseline |
Low level alert | 0% -57% (excluding 57%) |
Medium level alarm | 57% -135% (excluding 135%) |
Advanced warning | More than or equal to 135 percent |
And recording the alarm level into the corresponding comprehensive alarm information.
The interaction between data in this embodiment is shown in fig. 5, a set-top box alarm viewing message, that is, an alarm message and a viewing message is obtained, the message is sent to a Kafka cluster, sparkStreaming and the Kafka cluster are directly connected to read data and calculate, the data is classified according to basic attribute values, time and alarm types, corresponding data are stored in MongoDB and HBase, in the historical alarm baseline calculation, the alarm and viewing number of users with the granularity of each hour are calculated, and the alarm coverage rate with the granularity of each hour is generated as comparison data of the comprehensive alarm calculation, that is, the historical average alarm coverage rate is calculated; the comprehensive alarm calculation is mainly to periodically acquire the number of devices and the number of viewing users of different alarm types in the latest period to generate alarm coverage rate, compare the alarm coverage rate with the alarm coverage rate of the small period, determine whether to generate comprehensive alarm, record comprehensive alarm information in an HBase database, and determine specific alarm devices through the comprehensive alarm in the range.
The embodiment of the invention acquires the level of the comprehensive alarm, can judge the severity of the alarm according to the level, and in addition, records the current alarm level when the judged current alarm level is lower than the historical alarm level and does not cover the current historical alarm level, so that when the system judges the comprehensive alarm to be finished, a user can conveniently determine the severity of the comprehensive alarm according to the recorded historical alarm level.
The above steps of the methods are divided, for clarity of description, and may be combined into one step or split into multiple steps when implemented, so long as they include the same logic relationship, and they are all within the protection scope of this patent; it is within the scope of this patent to add insignificant modifications to the algorithm or flow or introduce insignificant designs, but not to alter the core design of its algorithm and flow.
A fourth embodiment of the present invention relates to a comprehensive alarm generating apparatus, as shown in fig. 6, including: the total number of users obtaining module 601 is configured to obtain the total number of viewing users and the total number of alert users according to a message that satisfies a preset condition, where the message is obtained from a plurality of set top boxes in a preset time period, and the message includes an alert message and a viewing message; the real-time alarm coverage rate acquisition module 602 is configured to acquire real-time alarm coverage rates according to the total number of viewing users and the total number of alarm users; and the comprehensive alarm generation module 603 is configured to determine whether to generate a comprehensive alarm according to the real-time alarm coverage rate and the historical average alarm coverage rate, where the historical average alarm coverage rate is obtained according to the total number of audience users and the total number of alarm users of the historical messages meeting the preset condition.
In one example, the total user count obtaining module 601 is further configured to obtain a historical alert coverage set according to the total number of viewing users and the total number of alert users in the historical message meeting the preset condition; removing abnormal values from the alarm coverage rate set; and acquiring historical average alarm coverage rate according to the alarm coverage rate set from which the abnormal value is eliminated.
In one example, the total number of users obtaining module 601 is further configured to parse the messages obtained from the plurality of set top boxes in the preset time period to obtain a basic attribute value combination and alarm information including each message; determining the alarm type of each message according to the alarm information of each message; the preset conditions include: with the same alarm type and basic attribute value combinations.
In one example, the total number of users obtaining module 601 is further configured to detect whether the alarm information matches with a preset alarm type condition; if the alarm information is matched with the preset alarm type condition, acquiring an alarm type corresponding to the matched alarm type condition as an alarm type of a message to which the alarm information belongs; and presetting setting of the corresponding relation between the alarm type condition and the alarm type.
In one example, the comprehensive alarm generating module 603 is further configured to determine that if the real-time alarm coverage rate is greater than the historical average alarm coverage rate, generate a comprehensive alarm; and if the real-time alarm coverage rate is not greater than the historical average alarm coverage rate, judging whether to end the comprehensive alarm according to the historical comprehensive alarm condition.
In one example, the comprehensive alarm generation module 603 is further configured to generate an alarm level according to a ratio of the real-time alarm coverage rate and the historical average alarm coverage rate; and generating a comprehensive alarm according to the alarm level.
In one example, the integrated alarm generation module 603 is further configured to, after generating an alarm level according to the ratio of the real-time alarm coverage rate to the historical average alarm coverage rate, further include: if the alarm level is lower than the historical alarm level, recording the alarm level; and if the alarm level is not lower than the historical alarm level, replacing the historical alarm level with the alarm level.
It is to be noted that this embodiment is a system example corresponding to the first embodiment, and can be implemented in cooperation with the first embodiment. The related technical details mentioned in the first embodiment are still valid in this embodiment, and in order to reduce repetition, a detailed description is omitted here. Accordingly, the related art details mentioned in the present embodiment can also be applied to the first embodiment.
It should be noted that each module in this embodiment is a logic module, and in practical application, one logic unit may be one physical unit, or may be a part of one physical unit, or may be implemented by a combination of multiple physical units. In addition, in order to highlight the innovative part of the present invention, units that are not so close to solving the technical problem presented by the present invention are not introduced in the present embodiment, but this does not indicate that other units are not present in the present embodiment.
A fifth embodiment of the invention relates to a server, as shown in fig. 7, comprising at least one processor 701; and a memory 702 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 a synthetic alert generation method as described above.
Where the memory and the processor are connected by a bus, the bus may comprise any number of interconnected buses and bridges, the buses connecting the various circuits of the one or more processors and the memory together. The bus may also connect various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art, and therefore, will not be described any further herein. The bus interface provides an interface between the bus and the transceiver. The transceiver may be one element or may be a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. The data processed by the processor is transmitted over the wireless medium via the antenna, which further receives the data and transmits the data to the processor.
The processor is responsible for managing the bus and general processing and may also provide various functions including timing, peripheral interfaces, voltage regulation, power management, and other control functions. And memory may be used to store data used by the processor in performing operations.
A sixth embodiment of the present invention relates to a computer-readable storage medium storing a computer program. The computer program implements the above-described method embodiments when executed by a processor.
That is, it will be understood by those skilled in the art that all or part of the steps in implementing the methods of the embodiments described above may be implemented by a program stored in a storage medium, where the program includes several instructions for causing a device (which may be a single-chip microcomputer, a chip or the like) or a processor (processor) to perform all or part of the steps in the methods of the embodiments described herein. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
It will be understood by those of ordinary skill in the art that the foregoing embodiments are specific examples of carrying out the invention and that various changes in form and details may be made therein without departing from the spirit and scope of the invention.
Claims (10)
1. A method for generating a composite alarm, comprising:
obtaining the total number of audience users and the total number of alarm users according to messages meeting preset conditions, wherein the messages are obtained from a plurality of set top boxes in a preset time period, and the messages comprise alarm messages and audience messages;
acquiring real-time alarm coverage rate according to the total number of the audience users and the total number of the alarm users;
judging whether to generate a comprehensive alarm according to the real-time alarm coverage rate and the historical average alarm coverage rate; the historical average alarm coverage rate is obtained according to the total number of audience users and the total number of alarm users of the historical messages meeting the preset conditions;
wherein, the preset conditions include: have the same alarm type and basic attribute value combination;
if the real-time alarm coverage rate is not greater than the historical average alarm coverage rate and an unfinished comprehensive alarm exists in the current range, ending the comprehensive alarm, and deleting the comprehensive alarm information about the unfinished comprehensive alarm in the database;
if the finished comprehensive alarm does not exist in the current range, the comprehensive alarm information is stored in a database;
and if the real-time alarm coverage rate is larger than the historical average alarm coverage rate, generating a comprehensive alarm.
2. The comprehensive alarm generation method according to claim 1, wherein the historical average alarm coverage rate is obtained according to the total number of viewing users and the total number of alarm users of the historical messages meeting the preset condition, and the method comprises the steps of:
acquiring a historical alarm coverage rate set according to the total number of audience users and the total number of alarm users of the historical messages meeting the preset conditions;
removing abnormal values from the alarm coverage rate set;
and acquiring historical average alarm coverage rate according to the alarm coverage rate set from which the abnormal value is eliminated.
3. The method for generating comprehensive alarm according to claim 1, wherein before obtaining the total number of viewing users and the total number of alarm users according to the message satisfying the preset condition, the method comprises:
analyzing the messages acquired from the plurality of set top boxes within a preset time period to obtain basic attribute value combinations and alarm information of each message;
and determining the alarm type of each message according to the alarm information of each message.
4. The comprehensive alarm generation method according to claim 3, wherein the determining the alarm type of each message according to the alarm information of each message comprises:
detecting whether the alarm information is matched with a preset alarm type condition or not;
if the alarm information is matched with the preset alarm type condition, acquiring an alarm type corresponding to the matched alarm type condition as an alarm type of a message to which the alarm information belongs; and presetting setting of the corresponding relation between the alarm type condition and the alarm type.
5. The synthetic alert generation method according to any one of claims 1 to 4, wherein the determining whether to generate a synthetic alert according to the real-time alert coverage and the historical average alert coverage includes:
if the real-time alarm coverage rate is larger than the historical average alarm coverage rate, generating a comprehensive alarm;
and if the real-time alarm coverage rate is not greater than the historical average alarm coverage rate, judging whether to end the comprehensive alarm according to the historical comprehensive alarm condition.
6. The synthetic alert generation method of claim 5 wherein generating the synthetic alert comprises:
generating an alarm level according to the ratio of the real-time alarm coverage rate to the historical average alarm coverage rate;
and generating a comprehensive alarm according to the alarm level.
7. The synthetic alert generation method of claim 6 further comprising, after generating an alert level based on a ratio of the real-time alert coverage and the historical average alert coverage:
if the alarm level is lower than the historical alarm level, recording the alarm level;
and if the alarm level is not lower than the historical alarm level, replacing the historical alarm level with the alarm level.
8. An integrated alarm generation apparatus, comprising:
the system comprises a user total number acquisition module, a user total number acquisition module and a user total number processing module, wherein the user total number acquisition module is used for acquiring the total number of viewing users and the total number of warning users according to messages meeting preset conditions, the messages are acquired from a plurality of set top boxes in a preset time period, and the messages comprise warning messages and viewing messages;
the real-time alarm coverage rate acquisition module is used for acquiring the real-time alarm coverage rate according to the total number of the audience users and the total number of the alarm users;
the comprehensive alarm generation module is used for judging whether to generate a comprehensive alarm according to the real-time alarm coverage rate and the historical average alarm coverage rate, wherein the historical average alarm coverage rate is obtained according to the total number of audience users and the total number of alarm users of the historical messages meeting the preset conditions;
wherein, the preset conditions include: have the same alarm type and basic attribute value combination;
the comprehensive alarm generation module is further used for ending the comprehensive alarm when the real-time alarm coverage rate is not more than the historical average alarm coverage rate and the comprehensive alarm which is not ended exists in the current range, and deleting the comprehensive alarm information which is related to the non-ended in the database;
when no finished comprehensive alarm exists in the current range, the comprehensive alarm information is stored in a database;
and generating a comprehensive alarm when the real-time alarm coverage rate is larger than the historical average alarm coverage rate.
9. A server, comprising:
at least one processor; the method comprises the steps of,
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 synthetic alert generation method of any one of claims 1 to 7.
10. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the integrated alarm generation method of any one of claims 1 to 7.
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Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2010069190A1 (en) * | 2008-12-18 | 2010-06-24 | 中兴通讯股份有限公司 | Early warning system and method for wireless communication |
CN103337012A (en) * | 2013-07-08 | 2013-10-02 | 国家电网公司 | Power grid equipment monitoring oriented multi-subject intelligent integrated alarm analysis method |
WO2017140084A1 (en) * | 2016-02-15 | 2017-08-24 | 中兴通讯股份有限公司 | Test method and device |
CN107396143A (en) * | 2017-08-31 | 2017-11-24 | 江苏省公用信息有限公司 | Video platform automatic fault predicts alarm machine and its Forecasting Methodology |
CN107493492A (en) * | 2017-09-20 | 2017-12-19 | 李�荣 | Multi-functional dual tuner set top box |
CN107733712A (en) * | 2017-10-18 | 2018-02-23 | 郑州云海信息技术有限公司 | The monitoring method and device of Service Source in cloud computing system |
CN111343484A (en) * | 2018-12-19 | 2020-06-26 | 飞思达技术(北京)有限公司 | IPTV/OTT intelligent quality alarm method based on artificial intelligence |
CN111431733A (en) * | 2020-02-20 | 2020-07-17 | 拉扎斯网络科技(上海)有限公司 | Service alarm coverage information evaluation method and device |
Family Cites Families (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8199653B2 (en) * | 2006-08-22 | 2012-06-12 | Embarq Holdings Company, Llc | System and method for communicating network performance information over a packet network |
US9019095B2 (en) * | 2012-12-07 | 2015-04-28 | General Electric Company | Systems and methods for integrating alarm processing and presentation of alarms for a power generation system |
CN107690068B (en) * | 2017-10-10 | 2024-02-20 | 飞思达技术(北京)有限公司 | Method and device for analyzing video flow and quality convergence of embedded probe of set top box |
CN108717416A (en) * | 2018-03-30 | 2018-10-30 | 广州供电局有限公司 | Power equipment monitoring method, device, computer equipment and storage medium |
CN109412870B (en) * | 2018-12-10 | 2022-07-01 | 网宿科技股份有限公司 | Alarm monitoring method and platform, server and storage medium |
CN110096410A (en) * | 2019-03-15 | 2019-08-06 | 中国平安人寿保险股份有限公司 | Alarm information processing method, system, computer installation and readable storage medium storing program for executing |
CN110752942B (en) * | 2019-09-06 | 2021-09-17 | 平安科技(深圳)有限公司 | Alarm information decision method and device, computer equipment and storage medium |
CN110971444B (en) * | 2019-10-09 | 2023-04-07 | 中移(杭州)信息技术有限公司 | Alarm management method, device, server and storage medium |
CN111352808B (en) * | 2020-03-03 | 2023-04-25 | 腾讯云计算(北京)有限责任公司 | Alarm data processing method, device, equipment and storage medium |
-
2020
- 2020-10-30 CN CN202011192397.0A patent/CN112312209B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2010069190A1 (en) * | 2008-12-18 | 2010-06-24 | 中兴通讯股份有限公司 | Early warning system and method for wireless communication |
CN103337012A (en) * | 2013-07-08 | 2013-10-02 | 国家电网公司 | Power grid equipment monitoring oriented multi-subject intelligent integrated alarm analysis method |
WO2017140084A1 (en) * | 2016-02-15 | 2017-08-24 | 中兴通讯股份有限公司 | Test method and device |
CN107396143A (en) * | 2017-08-31 | 2017-11-24 | 江苏省公用信息有限公司 | Video platform automatic fault predicts alarm machine and its Forecasting Methodology |
CN107493492A (en) * | 2017-09-20 | 2017-12-19 | 李�荣 | Multi-functional dual tuner set top box |
CN107733712A (en) * | 2017-10-18 | 2018-02-23 | 郑州云海信息技术有限公司 | The monitoring method and device of Service Source in cloud computing system |
CN111343484A (en) * | 2018-12-19 | 2020-06-26 | 飞思达技术(北京)有限公司 | IPTV/OTT intelligent quality alarm method based on artificial intelligence |
CN111431733A (en) * | 2020-02-20 | 2020-07-17 | 拉扎斯网络科技(上海)有限公司 | Service alarm coverage information evaluation method and device |
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