CN116703154A - Method and system for real-time early warning of abnormal links of power system engineering flow - Google Patents

Method and system for real-time early warning of abnormal links of power system engineering flow Download PDF

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Publication number
CN116703154A
CN116703154A CN202310614126.7A CN202310614126A CN116703154A CN 116703154 A CN116703154 A CN 116703154A CN 202310614126 A CN202310614126 A CN 202310614126A CN 116703154 A CN116703154 A CN 116703154A
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time
early warning
real
link
power system
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徐坤宗
原攀峰
陈廷梁
史奇
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Zhejiang Shuxin Network Co ltd
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Zhejiang Shuxin Network Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0635—Risk analysis of enterprise or organisation activities
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315—Needs-based resource requirements planning or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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Abstract

The invention discloses a real-time early warning method for an abnormal link of an electric power system engineering flow, belonging to the technical field of real-time processing of big data technology; the method comprises the following steps: acquiring flow link data; acquiring legal holiday information; obtaining early warning overtime according to the flow link data, legal holiday information and preset early warning time limit; acquiring the current time; and carrying out early warning according to the early warning expiration time and the current time. The invention also provides a system for real-time early warning of the abnormal link of the power system engineering flow. The invention can remind corresponding responsible persons of possible construction period risks and the like in real time aiming at the abnormal flow of the existing links so as to process feedback in real time and meet the needs of users in time.

Description

Method and system for real-time early warning of abnormal links of power system engineering flow
Technical Field
The invention relates to the technical field of real-time processing of big data technology, in particular to a method and a system for real-time early warning of abnormal links of a power system engineering flow.
Background
Under the current power system flow link processing flow, a responsible person cannot acquire early warning information of a corresponding link in time, and is in a state of delayed acquisition, namely, only the early warning state of a day before the current flow can be acquired, so that the early warning information is fundamentally delayed by one day, the requirement that the responsible person processes and solves the link abnormality in time cannot be met, and the complaint rate of a user is maintained at a higher level.
Disclosure of Invention
The invention aims to provide a high-efficiency real-time early warning method and system for abnormal links of a power system engineering flow.
In order to solve the technical problems, the invention provides a method for real-time early warning of abnormal links of a power system engineering flow, which comprises the following steps:
acquiring flow link data;
acquiring legal holiday information;
obtaining early warning overtime according to the flow link data, legal holiday information and preset early warning time limit;
acquiring the current time;
and carrying out early warning according to the early warning expiration time and the current time.
Preferably, the early warning expiration time is obtained according to the flow link data, legal holiday information and preset early warning time limit, and the method specifically comprises the following steps:
obtaining link starting time from the flow link data;
obtaining early warning exceeding days and early warning exceeding accurate time according to preset early warning time limit;
obtaining the overtime days according to the link starting time, legal holiday information and early warning overtime days;
obtaining the over-period accurate time according to the link starting time and the early warning over-period accurate time;
and obtaining the expiration time according to the expiration days and the expiration accurate time.
Preferably, the number of out-of-date days is obtained according to the link starting time, legal holiday information and early warning out-of-date days, and the method specifically comprises the following steps:
the starting time of the link is accumulated to early warning out-of-date days according to 1 day added each time, and then the number of days is obtained by rounding, and is used as out-of-date days.
Preferably, when calculating the number of days exceeding the period, the accumulation is not counted over the day when the legal holiday in the legal holiday information is encountered.
Preferably, the over-period accurate time is obtained according to the link starting time and the early warning over-period accurate time, and the method specifically comprises the following steps:
and accumulating the early warning overtime time to the early warning overtime accurate time by adding 1 second each time to obtain the overtime accurate time.
Preferably, the link start time is obtained from the flow link data, and specifically includes the following steps:
the link frame loads holiday information in the form of a cache dimension table, and acquires early warning time limit and link starting time of flow link data in a parallel mode.
Preferably, the process link data is acquired, which specifically comprises the following steps:
the flow work list table is obtained from the oracle database through the ogg component based on the datahub component.
Preferably, the method for acquiring legal holiday information specifically comprises the following steps:
and acquiring legal holiday information from the Internet in real time through an interface.
Preferably, the preset early warning time limit is 48 hours.
The invention also provides a system for real-time early warning of abnormal links of the power system engineering flow, which comprises:
the first acquisition module is used for acquiring flow link data;
the second acquisition module is used for acquiring legal festival holiday information;
the computing module is used for obtaining early warning overtime according to the flow link data, legal holiday information and preset early warning time limit;
the third acquisition module is used for acquiring the current time;
and the early warning module is used for carrying out early warning according to the early warning expiration time and the current time.
Compared with the prior art, the invention has the beneficial effects that:
the method for real-time early warning of the abnormal links of the power system engineering flow can remind corresponding responsible persons of possible construction period risks and the like in real time aiming at the abnormal links of the flow so as to process feedback in real time and meet the needs of users in time.
Drawings
The following describes the embodiments of the present invention in further detail with reference to the accompanying drawings.
Fig. 1 is a flow diagram of a method for real-time early warning of abnormal links in a power system engineering flow according to the present invention.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. The present invention may be embodied in many other forms than those herein described, and those skilled in the art will readily appreciate that the present invention may be similarly embodied without departing from the spirit or essential characteristics thereof, and therefore the present invention is not limited to the specific embodiments disclosed below.
The terminology used in the one or more embodiments of the specification is for the purpose of describing particular embodiments only and is not intended to be limiting of the one or more embodiments of the specification. As used in this specification, one or more embodiments and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used in one or more embodiments of the present specification refers to and encompasses any or all possible combinations of one or more of the associated listed items.
It should be understood that, although the terms first, second, etc. may be used in one or more embodiments of this specification to describe various information, these information should not be limited by these terms. These terms are only used to distinguish one type of information from another. For example, a first may also be referred to as a second, and similarly, a second may also be referred to as a first, without departing from the scope of one or more embodiments of the present description. The word "if" as used herein may be interpreted as "at … …" or "at … …" or "responsive to a determination", depending on the context.
The invention is described in further detail below with reference to the attached drawing figures:
as shown in fig. 1, the invention provides a method for early warning abnormal links of a power system engineering process in real time, which comprises the following steps:
acquiring flow link data;
acquiring legal holiday information;
obtaining early warning overtime according to the flow link data, legal holiday information and preset early warning time limit;
acquiring the current time;
and carrying out early warning according to the early warning expiration time and the current time.
Preferably, the early warning expiration time is obtained according to the flow link data, legal holiday information and preset early warning time limit, and the method specifically comprises the following steps:
obtaining link starting time from the flow link data;
obtaining early warning exceeding days and early warning exceeding accurate time according to preset early warning time limit;
obtaining the overtime days according to the link starting time, legal holiday information and early warning overtime days;
obtaining the over-period accurate time according to the link starting time and the early warning over-period accurate time;
and obtaining the expiration time according to the expiration days and the expiration accurate time.
Preferably, the number of out-of-date days is obtained according to the link starting time, legal holiday information and early warning out-of-date days, and the method specifically comprises the following steps:
the starting time of the link is accumulated to early warning out-of-date days according to 1 day added each time, and then the number of days is obtained by rounding, and is used as out-of-date days.
Preferably, when calculating the number of days exceeding the period, the accumulation is not counted over the day when the legal holiday in the legal holiday information is encountered.
Preferably, the over-period accurate time is obtained according to the link starting time and the early warning over-period accurate time, and the method specifically comprises the following steps:
and accumulating the early warning overtime time to the early warning overtime accurate time by adding 1 second each time to obtain the overtime accurate time.
Preferably, the link start time is obtained from the flow link data, and specifically includes the following steps:
the link frame loads holiday information in the form of a cache dimension table, and acquires early warning time limit and link starting time of flow link data in a parallel mode.
Preferably, the process link data is acquired, which specifically comprises the following steps:
the flow work list table is obtained from the oracle database through the ogg component based on the datahub component.
Preferably, the method for acquiring legal holiday information specifically comprises the following steps:
and acquiring legal holiday information from the Internet in real time through an interface.
Preferably, the preset early warning time limit is 48 hours.
The invention also provides a system for real-time early warning of abnormal links of the power system engineering flow, which comprises:
the first acquisition module is used for acquiring flow link data;
the second acquisition module is used for acquiring legal festival holiday information;
the computing module is used for obtaining early warning overtime according to the flow link data, legal holiday information and preset early warning time limit;
the third acquisition module is used for acquiring the current time;
and the early warning module is used for carrying out early warning according to the early warning expiration time and the current time.
In order to better illustrate the technical effects of the present invention, the present invention provides the following specific embodiments to illustrate the above technical flow:
embodiment 1, a method for early warning abnormal links of an electric power system engineering process in real time:
A. acquiring flow work list table and link table data in an oracle database in real time through the ogg component based on the datahub component respectively, and writing the flow work list table and the link table data into a corresponding topic theme;
B. acquiring legal festival holiday information from the network in real time through an interface;
C. setting a construction period early warning time limit such as 48 hours through engineering practice;
D. respectively fusing holiday information and flow link data in a flink frame, and calculating early warning expiration time by combining a custom function with early warning time limit after fusion;
1: firstly, flink loads holiday information in the form of a cache dimension table, and obtains link starting time (accurate to seconds) of flow link data and early warning time limit (in hours) of a corresponding link in a parallel flow mode.
2: dividing the early warning time limit by 24, and accumulating the initial time of the link according to 1 day added each time to the number of days obtained by rounding the early warning time limit, wherein accumulation is not counted in the day if holidays are met, the early warning time limit can be divided by 24, the early warning time limit is obtained, and otherwise, entering a third step.
3: converting the remainder obtained in the second step into a corresponding second number, and accumulating the early warning overtime time obtained in the second step to the corresponding second number by adding 1 second each time, wherein if the holiday is met, the accumulation is skipped, and the early warning overtime time is obtained.
E. Comparing the returned time with the current time, and judging whether the current link has link abnormality or not, namely, carrying out primary early warning, secondary early warning and out-of-period warning;
F. matching the abnormal links to corresponding responsible persons and informing the responsible persons in real time through information;
G. after checking and processing, the responsible person can complete the whole flow by returning to supervision. The aim of early warning and processing abnormal links in real time for responsible persons is achieved.
Specific examples are as follows:
the following abnormal link states exist in the power system flow: primary early warning, secondary early warning and out-of-date links. The corresponding links are generally virtual links, namely, are spliced by the starting and ending time of different real links, and the following table is the corresponding relation between the virtual links and the real links:
correspondence table between virtual links and real links
After obtaining the corresponding virtual link starting and ending event, the early warning logic processing is needed, and the following table is a simple early warning processing example:
correspondence table of virtual links and early warning method
The process of link abnormality exists: and as long as a link in the flow has primary early warning, secondary early warning and out-of-date, the flow is abnormal. When the multi-link is abnormal, the link abnormal grade is counted according to the highest, and the process is counted only once in the process of the link abnormality.
When a link abnormality occurs in the flow, the relevant responsible person needs to process the corresponding abnormality in time.
In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and the division of modules, or units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units, modules, or components may be combined or integrated into another apparatus, or some features may be omitted, or not performed.
The units may or may not be physically separate, and the components shown as units may be one physical unit or a plurality of physical units, may be located in one place, or may be distributed in a plurality of different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such embodiments, the computer program may be downloaded and installed from a network via a communication portion, and/or installed from a removable medium. The above-described functions defined in the method of the present invention are performed when the computer program is executed by a Central Processing Unit (CPU). The computer readable medium of the present invention may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The foregoing is merely illustrative of specific embodiments of the present invention, and the scope of the present invention is not limited thereto, but any changes or substitutions within the technical scope of the present invention should be covered by the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. The real-time early warning method for the abnormal link of the power system engineering flow is characterized by comprising the following steps:
acquiring flow link data;
acquiring legal holiday information;
obtaining early warning overtime according to the flow link data, legal holiday information and preset early warning time limit;
acquiring the current time;
and carrying out early warning according to the early warning expiration time and the current time.
2. The method for real-time early warning of abnormal links in a power system engineering process according to claim 1, wherein the early warning expiration time is obtained according to the process link data, legal holiday information and preset early warning time limit, and specifically comprises the following steps:
obtaining link starting time from the flow link data;
obtaining early warning exceeding days and early warning exceeding accurate time according to preset early warning time limit;
obtaining the overtime days according to the link starting time, legal holiday information and early warning overtime days;
obtaining the over-period accurate time according to the link starting time and the early warning over-period accurate time;
and obtaining the expiration time according to the expiration days and the expiration accurate time.
3. The method for real-time early warning of abnormal links in a power system engineering process according to claim 2, wherein the method is characterized in that the number of the exceeding days is obtained according to the starting time of the links, legal holiday information and early warning exceeding days, and specifically comprises the following steps:
the starting time of the link is accumulated to early warning out-of-date days according to 1 day added each time, and then the number of days is obtained by rounding, and is used as out-of-date days.
4. The method for real-time early warning of abnormal links in a power system engineering process according to claim 3, wherein the method comprises the following steps:
when the exceeding days are calculated, the legal holidays in the legal holiday information are skipped and accumulation is not counted.
5. The method for real-time early warning of abnormal links in a power system engineering process according to claim 2, wherein the method is characterized in that the out-of-range accurate time is obtained according to the link starting time and the early warning out-of-range accurate time, and specifically comprises the following steps:
and accumulating the early warning overtime time to the early warning overtime accurate time by adding 1 second each time to obtain the overtime accurate time.
6. The method for real-time early warning of abnormal links in a power system engineering process according to claim 2, wherein the step of obtaining the link start time from the process link data specifically comprises the following steps:
the link frame loads holiday information in the form of a cache dimension table, and acquires early warning time limit and link starting time of flow link data in a parallel mode.
7. The method for real-time early warning of abnormal links in a power system engineering process according to claim 1, wherein the process link data is obtained, and specifically comprises the following steps:
the flow work list table is obtained from the oracle database through the ogg component based on the datahub component.
8. The method for real-time early warning of abnormal links in a power system engineering process according to claim 1, wherein the method for acquiring legal holiday information comprises the following steps:
and acquiring legal holiday information from the Internet in real time through an interface.
9. The method for real-time early warning of abnormal links in a power system engineering process according to claim 1, wherein the method comprises the following steps:
the preset early warning time limit is 48 hours.
10. A system for real-time early warning of an abnormal link in a power system engineering process, for implementing the method for real-time early warning of an abnormal link in a power system engineering process according to any one of claims 1 to 9, comprising:
the first acquisition module is used for acquiring flow link data;
the second acquisition module is used for acquiring legal festival holiday information;
the computing module is used for obtaining early warning overtime according to the flow link data, legal holiday information and preset early warning time limit;
the third acquisition module is used for acquiring the current time;
and the early warning module is used for carrying out early warning according to the early warning expiration time and the current time.
CN202310614126.7A 2023-05-25 2023-05-25 Method and system for real-time early warning of abnormal links of power system engineering flow Pending CN116703154A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310614126.7A CN116703154A (en) 2023-05-25 2023-05-25 Method and system for real-time early warning of abnormal links of power system engineering flow

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310614126.7A CN116703154A (en) 2023-05-25 2023-05-25 Method and system for real-time early warning of abnormal links of power system engineering flow

Publications (1)

Publication Number Publication Date
CN116703154A true CN116703154A (en) 2023-09-05

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