CN114173218A - Terminal acquisition abnormity judgment method based on message analysis - Google Patents
Terminal acquisition abnormity judgment method based on message analysis Download PDFInfo
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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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- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04Q2209/00—Arrangements in telecontrol or telemetry systems
- H04Q2209/80—Arrangements in the sub-station, i.e. sensing device
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Abstract
The invention provides a terminal acquisition abnormity judgment method based on message analysis, which comprises the following steps: establishing communication connection between a master station and acquisition terminals, sending downlink messages of acquisition tasks to each acquisition terminal by the master station, and counting the number of the downlink messages sent by the master station on the same day; the method comprises the steps that a collection terminal accepts downlink messages sent by a master station, and the quantity of the downlink messages accepted by the collection terminal on the day is recorded and counted; returning corresponding uplink message data, and counting the uplink message data on the same day; calculating the message receiving and sending integrity rate P of the current day master stationd(ii) a If P isdNot less than 100%, without treatment; if P isdLess than 100 percent, the current collecting terminal has abnormity, and the message receiving and sending integrity rate P of each collecting terminal on the current day is calculatedn(ii) a If P isnAnd (5) less than or equal to 80%, the acquisition terminal is abnormal, and specific abnormal conditions are analyzed. According to the invention, the acquisition quality of the main station is judged according to actual data, the state abnormity of the terminal is checked out, and the targeted processing is carried out, so that the acquisition quality of the main station is improved.
Description
Technical Field
The invention belongs to the technical field of acquisition terminals, and particularly relates to a terminal acquisition abnormity judgment method based on message analysis.
Background
The acquisition terminal mainly realizes functions of data acquisition, data management, data bidirectional transmission and the like, and is key equipment for ensuring stability and reliability of electric energy metering. With the development of automatic acquisition services and the increasing scale and complexity of a master station (hereinafter referred to as "master station") of an electricity consumption information acquisition system, the acquisition quality problem of the master station is gradually exposed in the actual use process, and the abnormal state of the acquisition terminal becomes one of the key factors influencing the acquisition reliability of the acquisition terminal and the master station and tends to gradually increase. Especially, real field data cannot be acquired in time, and great risk is possibly formed on stable and reliable operation of the power grid.
Disclosure of Invention
The invention aims to provide a terminal acquisition abnormity judgment method based on message analysis, which can solve the problem of acquisition quality reduction caused by the fact that acquisition terminal abnormity cannot be found in time in the prior art.
The purpose of the invention is realized by the following technical scheme:
a terminal acquisition abnormity judgment method based on message analysis comprises the following steps:
step S1, establishing communication connection between the master station and the acquisition terminals, sending downlink messages of acquisition tasks to each acquisition terminal by the master station, and recording and counting the number K of the downlink messages sent by the master station on the day;
step S2, the acquisition terminal accepts the downlink message sent by the master station, records and counts the downlink message quantity K accepted by the acquisition terminal on the daydown_n(ii) a Responding to the request of the master station according to the content of the downlink message, returning corresponding uplink message data, recording and counting uplink message data K on the same dayup_n(ii) a Wherein n is the number of the acquisition terminal;
step S3, calculating the message receiving and sending integrity rate P of the main station on the same dayd；
Step S4, if PdIf the current day is more than or equal to 100 percent, the current day is considered to have good collection condition without processing; if P isdIf the current date is less than 100%, the current date collecting terminal is considered to be abnormal, and step S5 is executed;
step S5, calculating the perfectness ratio P of the uplink message and the downlink message of each acquisition terminal on the current dayn(ii) a Wherein n is the number of the acquisition terminal;
step S6, if PnAnd (5) less than or equal to 80%, determining that the acquisition terminal is abnormal, and analyzing the specific abnormal condition of the abnormal acquisition terminal.
Further, the master station on the same day receives and transmits the message integrity rate PdThe calculation formula of (2) is as follows:
Pd＝(Kup_1+Kup_2+......+Kup_n)/K×100％。
further, the integrity ratio P of the uplink packet and the downlink packet of each acquisition terminal on the same day isnThe calculation formula of (2) is as follows:
Pn＝Kup_n/Kdown_n×100％。
further, analyzing the specific abnormal condition of the abnormal acquisition terminal includes:
respectively operating the IP address of each abnormal acquisition terminal by using a ping or telnet command, and if the abnormal acquisition terminal has no return value, judging that the abnormal acquisition terminal is in a false online condition;
using ping or telnet commands to respectively operate the IP address of each abnormal acquisition terminal, if the abnormal acquisition terminal has a return value, calling the abnormal acquisition terminal by using the master station, and if the acquisition terminal still has no return data, judging that the acquisition terminal is on-line but does not respond to the instruction;
if the total number K of the downlink messages of the abnormal acquisition terminaldown_nLess than or equal to 30 or Kdown_nAnd if the number of the collected data is more than or equal to 1000, the collected data is considered to be abnormal, the abnormal condition is online normal, and the returned message data is abnormal.
Furthermore, the acquisition terminal comprises a station electric energy acquisition terminal, a load management terminal, a distribution transformer monitoring terminal and a low-voltage concentrator.
Compared with the existing evaluation indexes, the terminal acquisition abnormity judging method based on message analysis provided by the invention has the advantages that effective data are mined according to the defects of the actual service environment, the acquisition quality of the main station is judged, and the specific state abnormity of the terminal is checked out, so that the targeted processing is carried out, and the acquisition quality of the main station is improved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart of a method for determining abnormality in terminal acquisition based on message analysis according to the present invention.
Detailed Description
The embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.
The embodiments of the present disclosure are described below with specific examples, and other advantages and effects of the present disclosure will be readily apparent to those skilled in the art from the disclosure in the specification. It is to be understood that the described embodiments are merely illustrative of some, and not restrictive, of the embodiments of the disclosure. The disclosure may be embodied or carried out in various other specific embodiments, and various modifications and changes may be made in the details within the description without departing from the spirit of the disclosure. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
The invention discloses a terminal acquisition abnormity judgment method based on message analysis, which comprises the following steps:
and step S1, establishing communication connection between the master station and the acquisition terminals, sending downlink messages of acquisition tasks to each acquisition terminal by the master station, and recording and counting the number K of the downlink messages sent by the master station on the day.
According to the collection principle of the main station, when the collection terminal equipment is online and connected with the main station, collection tasks are generated every time collection is carried out, the main station sends the collection tasks to the collection terminal equipment, a downlink message is generated, and the type of messages are recorded, collected and counted.
Step S2, the acquisition terminal accepts the downlink message sent by the master station, records and counts the downlink message quantity K accepted by the acquisition terminal on the daydown_n(ii) a Responding to the request of the master station according to the content of the downlink message, returning corresponding uplink message data, recording and counting uplink message data K on the same dayup_n. Wherein n is the number of the acquisition terminal.
Furthermore, when one uplink message cannot be completely transmitted in an uplink manner due to too much content, the uplink message is split into N uplink messages and then returned to the master station.
Step S3, calculating the message receiving and sending integrity rate P of the main station on the same daydCalculating the message receiving and sending integrity rate P of the master station and the acquisition terminal in each hourh。
Further, PdThe total number of uplink messages on the same day/the total number of downlink messages on the same day x 100 ═ Kup_1+Kup_2+......+Kup_n)/K×100％。
The total number of the uplink messages on the day is equal to the sum of the total number of the uplink messages sent by all the acquisition terminals, and the total number of the downlink messages on the day is the counted number of the downlink messages sent by the main station.
Further, PhX 100% (calculated at 24 points all day long).
Step S4, if the master station receives and sends the message perfectness ratio P on the same daydIf the current day is more than or equal to 100 percent, the current day is considered to have good collection condition without processing; if the master station receives and transmits the message perfectness ratio P on the same dayd＜100％，The current day collection terminal is considered to be abnormal, and step S5 is executed.
When the acquisition terminal is abnormal, deep inspection needs to be carried out on the acquisition condition of the current day to determine the specific problem reason, the acquisition perfectness rate of various acquisition terminals is calculated by being associated with a user, and the acquisition conditions of four types of acquisition terminals (a plant station electric energy acquisition terminal, a load management terminal, a distribution transformer monitoring terminal and a low-voltage concentrator) are calculated according to the types of the terminals.
Step S5, calculating the perfectness ratio P of the uplink message and the downlink message of each acquisition terminal on the current dayn。
PnK is equal to the sum of the uplink messages/the sum of the downlink messages of the acquisition terminal on the same day multiplied by 100%up_n/Kdown_n×100％。
And respectively carrying out data integration analysis on the downlink message and the uplink message of each acquisition terminal, and analyzing the perfectness of the uplink message and the downlink message of the current online terminal on the basis of the current online terminal data.
Step S6, if PnAnd (5) less than or equal to 80%, determining that the acquisition terminal is abnormal, and analyzing the specific abnormal condition of the abnormal acquisition terminal.
Further, analyzing the specific abnormal condition of the abnormal acquisition terminal includes:
and respectively operating the IP address of each abnormal acquisition terminal by using a ping or telnet command, and if the abnormal acquisition terminal has no return value, judging that the abnormal acquisition terminal is in a false online condition.
And respectively operating the IP address of each abnormal acquisition terminal by using a ping or telnet command, if the abnormal acquisition terminal has a return value, calling and testing the abnormal acquisition terminal by using the master station, and if the acquisition terminal still has no return data, judging that the acquisition terminal is on-line but does not respond to the instruction condition.
If the total number K of the downlink messages of the abnormal acquisition terminaldown_nLess than or equal to 30 or Kdown_nAnd if the number of the collected data is more than or equal to 1000, the collected data is considered to be abnormal, the abnormal condition is online normal, and the returned message data is abnormal. Under the abnormal condition, the master station initiates an active acquisition instruction, farThe program acquisition terminal only returns negative confirmation or confirmation, and can not return normal uplink message data.
In the present invention, unless otherwise expressly stated or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally formed; may be mechanically coupled, may be electrically coupled or may be in communication with each other; they may be directly connected or indirectly connected through intervening media, or they may be connected internally or in any other suitable relationship, unless expressly stated otherwise. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and the like.
The above description is for the purpose of illustrating embodiments of the invention and is not intended to limit the invention, and it will be apparent to those skilled in the art that any modification, equivalent replacement, or improvement made without departing from the spirit and principle of the invention shall fall within the protection scope of the invention.
Claims (5)
1. A terminal acquisition abnormity judgment method based on message analysis is characterized by comprising the following steps:
step S1, establishing communication connection between the master station and the acquisition terminals, sending downlink messages of acquisition tasks to each acquisition terminal by the master station, and recording and counting the number K of the downlink messages sent by the master station on the day;
step S2, the acquisition terminal accepts the downlink message sent by the master station, records and counts the downlink message quantity K accepted by the acquisition terminal on the daydown_n(ii) a Responding to the request of the master station according to the content of the downlink message, returning corresponding uplink message data, recording and counting uplink message data K on the same dayup_n(ii) a Wherein n is the number of the acquisition terminal;
step S3, calculating the message receiving and sending integrity rate P of the main station on the same dayd；
Step S4, if PdIf the current day is more than or equal to 100 percent, the current day is considered to have good collection condition without processing; if P isdIf the current date is less than 100%, the current date collecting terminal is considered to be abnormal, and step S5 is executed;
step S5, calculating the perfectness ratio P of the uplink message and the downlink message of each acquisition terminal on the current dayn(ii) a Wherein n is the number of the acquisition terminal;
step S6, if PnAnd (5) less than or equal to 80%, determining that the acquisition terminal is abnormal, and analyzing the specific abnormal condition of the abnormal acquisition terminal.
2. According to claimThe method for determining abnormality in terminal acquisition based on message analysis according to claim 1, wherein the message integrity rate P for the current day master station to transmit and receive messagesdThe calculation formula of (2) is as follows:
Pd＝(Kup_1+Kup_2+......+Kup_n)/K×100％。
3. the method according to claim 1, wherein the completeness P of the uplink packet and the downlink packet of each collection terminal on the same day is higher than the completeness P of the uplink packet and the downlink packet of each collection terminal on the same daynThe calculation formula of (2) is as follows:
Pn＝Kup_n/Kdown_n×100％。
4. the method for determining abnormality in terminal acquisition based on message analysis according to claim 1, wherein the analyzing the specific abnormal condition of the abnormal acquisition terminal includes:
respectively operating the IP address of each abnormal acquisition terminal by using a ping or telnet command, and if the abnormal acquisition terminal has no return value, judging that the abnormal acquisition terminal is in a false online condition;
using ping or telnet commands to respectively operate the IP address of each abnormal acquisition terminal, if the abnormal acquisition terminal has a return value, calling the abnormal acquisition terminal by using the master station, and if the acquisition terminal still has no return data, judging that the acquisition terminal is on-line but does not respond to the instruction;
if the total number K of the downlink messages of the abnormal acquisition terminaldown_nLess than or equal to 30 or Kdown_nAnd if the number of the collected data is more than or equal to 1000, the collected data is considered to be abnormal, the abnormal condition is online normal, and the returned message data is abnormal.
5. The message analysis-based terminal acquisition anomaly determination method according to any one of claims 1 to 4, wherein the acquisition terminal comprises a plant station electric energy acquisition terminal, a load management terminal, a distribution transformer monitoring terminal and a low-voltage concentrator.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104540161A (en) * | 2014-12-12 | 2015-04-22 | 大唐移动通信设备有限公司 | Node state detection method and device |
| CN105515180A (en) * | 2015-07-14 | 2016-04-20 | 国家电网公司 | Intelligent substation communication network dynamic monitoring system and monitoring method thereof |
| CN110333402A (en) * | 2019-05-23 | 2019-10-15 | 广西电网有限责任公司 | A kind of user's electric voltage exception cognitive method and system based on edge calculations |
| CN111432295A (en) * | 2020-03-18 | 2020-07-17 | 北京科东电力控制系统有限责任公司 | Power consumption information acquisition master station system based on distributed technology |
| CN112398699A (en) * | 2020-12-01 | 2021-02-23 | 杭州迪普科技股份有限公司 | Network traffic packet capturing method, device and equipment |
-
2021
- 2021-11-12 CN CN202111339199.7A patent/CN114173218B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104540161A (en) * | 2014-12-12 | 2015-04-22 | 大唐移动通信设备有限公司 | Node state detection method and device |
| CN105515180A (en) * | 2015-07-14 | 2016-04-20 | 国家电网公司 | Intelligent substation communication network dynamic monitoring system and monitoring method thereof |
| CN110333402A (en) * | 2019-05-23 | 2019-10-15 | 广西电网有限责任公司 | A kind of user's electric voltage exception cognitive method and system based on edge calculations |
| CN111432295A (en) * | 2020-03-18 | 2020-07-17 | 北京科东电力控制系统有限责任公司 | Power consumption information acquisition master station system based on distributed technology |
| CN112398699A (en) * | 2020-12-01 | 2021-02-23 | 杭州迪普科技股份有限公司 | Network traffic packet capturing method, device and equipment |
Non-Patent Citations (1)
| Title |
|---|
| 陈俊;李刚;杨舟;: "基于动态聚类的负荷管理终端故障定位方法研究", 广西电力, no. 05, pages 9 - 12 * |
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