CN113993001B - Real-time stream analysis alarm method based on sliding data window - Google Patents
Real-time stream analysis alarm method based on sliding data window Download PDFInfo
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- CN113993001B CN113993001B CN202111049529.9A CN202111049529A CN113993001B CN 113993001 B CN113993001 B CN 113993001B CN 202111049529 A CN202111049529 A CN 202111049529A CN 113993001 B CN113993001 B CN 113993001B
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- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000004458 analytical method Methods 0.000 title claims abstract description 22
- 230000008569 process Effects 0.000 claims description 3
- 238000001514 detection method Methods 0.000 claims description 2
- 230000002159 abnormal effect Effects 0.000 abstract description 7
- 230000002265 prevention Effects 0.000 abstract description 2
- 230000004044 response Effects 0.000 abstract description 2
- 238000012423 maintenance Methods 0.000 description 6
- 230000008859 change Effects 0.000 description 3
- 238000007726 management method Methods 0.000 description 3
- 230000005856 abnormality Effects 0.000 description 2
- 238000013024 troubleshooting Methods 0.000 description 2
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000005206 flow analysis Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q9/00—Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/08—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B29/00—Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation
- G08B29/18—Prevention or correction of operating errors
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B3/00—Audible signalling systems; Audible personal calling systems
- G08B3/10—Audible signalling systems; Audible personal calling systems using electric transmission; using electromagnetic transmission
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q2209/00—Arrangements in telecontrol or telemetry systems
- H04Q2209/80—Arrangements in the sub-station, i.e. sensing device
- H04Q2209/82—Arrangements in the sub-station, i.e. sensing device where the sensing device takes the initiative of sending data
- H04Q2209/823—Arrangements in the sub-station, i.e. sensing device where the sensing device takes the initiative of sending data where the data is sent when the measured values exceed a threshold, e.g. sending an alarm
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Engineering & Computer Science (AREA)
- Electromagnetism (AREA)
- Computer Networks & Wireless Communication (AREA)
- Computer Security & Cryptography (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses a real-time streaming analysis alarm method based on a sliding data window, which takes sound vibration acquired by a vibration sensor as a data source, takes vibration data acquisition time and amplitude value, acquisition frequency as analysis dimension, a message queue and a database as an analysis tool, continuously accesses real-time data of the vibration sensor arranged on a radar turntable, slides the data window backwards along with time so as to calculate out data values in N recent continuous data windows, then compares the data values with the data values in a vibration normal state, immediately generates abnormal alarm records when the phase difference of the data values exceeds a certain threshold value, stores the abnormal alarm records in an alarm database, and can be further divided into early warning and alarm according to the phase difference degree of the comparison result, thereby reducing response time for finding abnormal, improving alarm accuracy and the working efficiency of radar station technical support personnel, and enabling the radar station to realize real unattended operation and accident prevention.
Description
Technical Field
The invention relates to the technical field of intelligent operation and maintenance of radar health management and radar station sensing data anomaly analysis, in particular to a real-time flow analysis alarm method based on a sliding data window.
Background
With the current popularization of cloud computing and artificial intelligence technology application and the business needs of intelligent stations, unmanned radar stations and intelligent operation and maintenance can liberate technical support personnel from repeated and complicated mechanical investigation work.
However, the traditional operation and maintenance system has the problems of untimely fault alarm, low alarm accuracy, repeated alarm and the like, which always puzzles technical support staff.
Disclosure of Invention
The invention aims to provide a real-time streaming analysis alarm method based on a sliding data window, which greatly improves the use and experience of users, and can discover radar accidents in an early stage through early warning and prevent the radar accidents.
The aim of the invention can be achieved by the following technical scheme:
a real-time stream analysis alarm method based on a sliding data window comprises the following steps:
step one: collecting and recording vibration data of the radar turntable in real time through a vibration sensor, and transmitting the real-time vibration data to a message queue;
step two: under the condition that the radar turntable rotates normally, vibration data are collected to be used as standard data values in a normal state, and the standard data values are used as normal thresholds to judge whether early warning or alarming is generated or not;
step three: reading real-time vibration data in the message queue in the first step, and collecting and connecting N data frames to construct a data window;
step four: forming a data comparison group by the M data windows acquired in the third step;
step five: calculating the data value of each data window in the data comparison group in the fourth step to obtain a comparison data value;
step six: comparing the comparison data value obtained in the fifth step with the standard data value obtained in the second step to obtain a comparison result array;
s1: triggering to generate early warning when each result in the comparison result array exceeds a normal threshold value;
s2: when N results in the comparison result array exceed the normal threshold, no alarm is generated;
step seven: storing the early warning data and the warning data generated in the step six into a database, and combining a plurality of warning records connected in the same time period to form a warning;
step eight: and after the front end of the application system reads the alarm in the database, notifying technical support personnel, so that the technical support personnel can go to the radar station for fault detection.
As a further scheme of the invention: in the first step, the vibration sensor is arranged on the radar turntable, and the vibration sensor is closely attached to the radar turntable.
As a further scheme of the invention: and step two, the standard data are vibration data acquired by the radar turntable within 1 minute in the normal rotation process.
As a further scheme of the invention: and step three, the reading sequence of the vibration data in the message queue is consistent with the sequence of the vibration data transmitted into the message queue by the vibration sensor.
As a further scheme of the invention: and fifthly, calculating the data value by adopting a median method or an average method.
As a further scheme of the invention: in the step six, the number of N is less than 5.
As a further scheme of the invention: and step eight, the front end of the application system informs the technical support personnel through playing sound and through an email box, a mobile phone short message and an APP.
The invention has the beneficial effects that:
(1) The invention is based on the real-time stream analysis of the sliding data window, can effectively eliminate the influence of individual abnormal or abrupt change data on normal early warning and warning, reduces the false alarm rate, increases the early warning and warning timeliness by stream analysis, and greatly improves the user experience;
(2) The intelligent operation and maintenance system is used as an important component of the intelligent station, the unattended operation of the radar station and the intelligent alarm are realized through the large data stream analysis, the alarm information is notified to specific technical support personnel through the modes of playing sound, an electronic mailbox, a mobile phone short message, APP notification and the like, the workload of the air management technical support personnel is greatly reduced, and the working efficiency of the support personnel is improved;
(3) The invention reduces the response time consumption for finding the abnormality, improves the alarm accuracy and the working efficiency of the technical assurance personnel of the radar station, and ensures that the radar station can realize the unmanned on duty and accident prevention in the real sense.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a flow chart of the present invention.
Fig. 2 is an enlarged view of the message queue and data window of fig. 1.
Fig. 3 is an enlarged view of the data comparison set in fig. 1.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-3, the present invention is a real-time streaming analysis and alarm method based on a sliding data window, comprising the following steps:
step one: the method comprises the steps that a vibration sensor is arranged on a radar turntable, the vibration sensor is required to be clung to the radar turntable, the slight vibration amplitude of the radar turntable can be sensed and recorded, and then real-time vibration data of the radar is transmitted to a message queue through a software interface matched with the vibration sensor;
step two: under the condition that the radar turntable rotates normally, firstly recording data for a period of time (about 1 minute) as a standard data value in a normal state, wherein the standard data value is used as a normal threshold value for comparing whether early warning or warning is generated in the step six;
step three: after finishing the data recording under the normal state, the real-time vibration data is continuously read from the message queue, the sequence of the data read from the message queue is consistent with the sequence of the data frames transmitted into the message queue by the vibration sensor, and N data frames are continuously read from the message queue in real time to construct a one-dimensional array, namely a data window;
step four: continuously reading data frames from the message queue, wherein each time N data frames are filled, a data window is formed, and a data comparison group is formed by continuous M data windows;
in order to ensure that the memory does not overflow, only the latest data comparison group (M data windows) is stored in the program, namely the oldest data window is replaced by the newly received data window in the data comparison group;
step five: calculating the data value of each data window in the data comparison group to obtain a comparison data value;
the method for calculating the data value can adopt a median method or an average method;
step six: comparing the obtained comparison data value with a standard data value to obtain a comparison result array;
if each result in the comparison result array exceeds a normal threshold (the threshold can be configured), triggering to generate early warning;
if only N (N < 5) results in the comparison result array exceed the normal threshold value, an alarm is not generated because the acquired vibration data have individual abnormal or abrupt change data, which indicates that not all data in the data frame exceed the threshold value;
the abnormal or abrupt data at most affect the data values of 1 or 2 data windows in each group of data comparison group, and only a small probability can cause the data values of all the data windows to exceed a threshold value, so that the false alarm rate of the alarm can be effectively reduced, and the accuracy rate of the alarm is greatly improved;
step seven: the generated early warning data and warning data are stored in a database, and simultaneously, the continuous multiple warning records in the same similar time can be combined to form a warning, so that repeated warning can be effectively removed, only one warning is generated in one accident, and the warning is not generated once the abnormality is found;
step eight: after the front end of the application system reads the alarm in the database, the front end of the application system can inform specific technical support personnel by playing sound, an email box, a mobile phone short message, an APP notification and the like, and the technical support personnel can go to a radar station to specifically check the problem.
The technical support personnel can set the alarm equipment to be in an operation and maintenance mode in the application system in the process of troubleshooting the problem, so that the alarm is recorded, the application system can not truly report the alarm to the technical support personnel, and after the equipment problem troubleshooting is finished, the alarm equipment is set back to the alarm mode, so that the alarm can be recovered.
Specifically, the real-time vibration data collected in the second step and the third step have positive numbers and negative numbers, the absolute values of the data are needed to be firstly taken, the absolute values are changed into positive numbers, and otherwise, the positive and negative variation differences between the vibration data are counteracted when the mean value is calculated later.
The N, M and the threshold value in the steps can be configured through an application system and read from a database, and technical support personnel can adjust the parameters according to the actual conditions of the site, so that early warning and warning are generated to be more suitable for actual services.
In summary, the real-time streaming analysis based on the sliding data window can effectively eliminate the influence of individual abnormal or abrupt change data on normal early warning and warning, reduce the false alarm rate, and meanwhile, the streaming analysis increases the early warning and warning timeliness, thereby greatly improving the user experience. Meanwhile, the intelligent operation and maintenance system is used as an important component of the intelligent station, the unattended operation of the radar station is realized through the large data stream analysis, intelligent warning is realized, warning information is notified to specific technical support staff through the modes of playing sound, an electronic mailbox, a mobile phone short message, APP notification and the like, the workload of the air management technical support staff is greatly reduced, and the working efficiency of the support staff is improved.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (7)
1. The real-time stream analysis alarm method based on the sliding data window is characterized by comprising the following steps:
step one: collecting and recording vibration data of the radar turntable in real time through a vibration sensor, and transmitting the real-time vibration data to a message queue;
step two: under the condition that the radar turntable rotates normally, acquiring an absolute value of vibration data as a standard data value in a normal state, and using the standard data value as a normal threshold value to judge whether early warning or alarming is generated;
step three: reading the absolute value of real-time vibration data in the message queue, and collecting and connecting N data frames to construct a data window;
step four: forming a data comparison group by the M data windows acquired in the third step;
step five: calculating the data value of each data window in the data comparison group in the fourth step to obtain a comparison data value;
step six: comparing the comparison data value obtained in the fifth step with the standard data value obtained in the second step to obtain a comparison result array;
s1: triggering to generate early warning when each result in the comparison result array exceeds a normal threshold value;
s2: when N results in the comparison result array exceed the normal threshold, no alarm is generated;
step seven: storing the early warning data and the warning data generated in the step six into a database, and combining a plurality of warning records connected in the same time period to form a warning;
step eight: and after the front end of the application system reads the alarm in the database, notifying technical support personnel, so that the technical support personnel can go to the radar station for fault detection.
2. The real-time streaming analysis alarm method based on a sliding data window according to claim 1, wherein in the first step, the vibration sensor is mounted on the radar turntable, and the vibration sensor is closely attached to the radar turntable.
3. The real-time streaming analysis alarm method based on the sliding data window according to claim 1, wherein the standard data in the second step is vibration data collected by the radar turntable within 1 minute in the normal rotation process.
4. The real-time streaming analysis alarm method based on a sliding data window according to claim 1, wherein the order of reading the vibration data in the message queue in the step three is consistent with the order of the vibration data in the message queue transmitted by the vibration sensor.
5. The real-time streaming analysis alarm method based on a sliding data window according to claim 1, wherein in the fifth step, a median method or a mean method is adopted for calculating the data value.
6. The real-time streaming analysis alarm method based on a sliding data window according to claim 1, wherein the number of N in the sixth step is less than 5.
7. The method for real-time streaming analysis and alarm based on sliding data window according to claim 1, wherein in step eight, the front end of the application system plays sound and notifies technical support personnel via email boxes, mobile phone short messages, APP.
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