CN113987722A - Single line diagram wiring inspection method and device - Google Patents
Single line diagram wiring inspection method and device Download PDFInfo
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- CN113987722A CN113987722A CN202111143444.7A CN202111143444A CN113987722A CN 113987722 A CN113987722 A CN 113987722A CN 202111143444 A CN202111143444 A CN 202111143444A CN 113987722 A CN113987722 A CN 113987722A
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- 238000010586 diagram Methods 0.000 title claims abstract description 51
- 238000007689 inspection Methods 0.000 title claims abstract description 23
- 238000000034 method Methods 0.000 title claims abstract description 22
- 238000001514 detection method Methods 0.000 claims abstract description 82
- 230000002159 abnormal effect Effects 0.000 claims description 43
- 238000009826 distribution Methods 0.000 claims description 6
- 238000003860 storage Methods 0.000 claims description 5
- 238000009795 derivation Methods 0.000 claims description 3
- 238000010801 machine learning Methods 0.000 abstract description 6
- 230000006870 function Effects 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000004807 localization Effects 0.000 description 1
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- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/18—Network design, e.g. design based on topological or interconnect aspects of utility systems, piping, heating ventilation air conditioning [HVAC] or cabling
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/04—Power grid distribution networks
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- 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
- Y04S10/40—Display of information, e.g. of data or controls
Abstract
The invention discloses a single line diagram wiring inspection method and a single line diagram wiring inspection device, which comprise the following steps: step S1: performing typical wiring sample learning; step S2: carrying out wiring example detection; step S3: and displaying and outputting the wiring detection result. The invention can judge the wiring rationality of other newly-added and adjusted single line diagrams from the machine learning angle by taking a typical single line diagram as a blue book through the machine learning, form a virtuous circle through an experience learning mode and guide the wiring detection of the single line diagram, thereby overcoming the problem that the experience of a normative single line diagram in the prior art cannot be passed and used for reference and effectively improving the efficiency of the wiring detection.
Description
Technical Field
The invention relates to the technical field of distribution network single line diagram processing, in particular to a single line diagram wiring inspection method.
Background
The single line diagram is one of important tools for operation and maintenance of power distribution network equipment, the difficulty and workload of two modes of manual drawing and drawing software utilization are high, the requirement for development and use of a smart power grid is difficult to meet under the condition that the complexity of a power grid structure is continuously increased, and a power grid company compiles a distribution line single line diagram drawing specification production and dispatching application detailed rule suitable for the unit on the basis of a unified power grid GIS platform based on the localization characteristics and refines the single line diagram.
However, the drawing specification aims at a single drawing person and a single line diagram, and the experience of the normative single line diagram cannot be passed and referred.
Disclosure of Invention
In view of the above, one of the objectives of the present invention is to provide a single line diagram wiring inspection method. A virtuous circle is formed by an experience learning mode, and the single line diagram wiring detection is guided, so that the problems in the background technology are solved.
One of the purposes of the invention is realized by the following technical scheme:
a single line diagram wiring inspection method comprises the following steps:
step S1: typical wiring sample learning: performing typical wiring learning on the typical sample single line diagrams one by one, and writing a wiring statistical probability distribution result into a learning result library;
step S2: carrying out wiring example detection: detecting an example single line diagram;
step S3: and (3) carrying out wiring detection result display output: and detecting, positioning and outputting the detection result in the abnormal result library.
Further, in step S2, a difference between the statistical probability of the detected instance data and the statistical probability of the learning database is detected from the set abnormal point threshold, and if the statistical probability of the detected instance data at a certain detection point is greater than the statistical probability of the learning database, the detected instance data is considered as abnormal data and is written into the abnormal result database.
Further, the step S3 specifically includes
Listing an abnormal single line diagram list and a specific wiring problem list in an abnormal detection result library;
positioning a specific wiring problem;
the wiring problem is led out.
The invention also provides a single-line diagram wiring checking device, which comprises a typical wiring sample learning module, a wiring example detection module and a wiring detection result display output module,
the typical wiring sample learning module realizes learning of typical sample data based on a statistical abnormal point detection algorithm and puts learning results into a warehouse;
the wiring example detection module is used for actually detecting the example to be detected based on the learning result of the typical wiring sample learning component;
and the wiring detection result display output module is used for displaying and outputting the wiring detection result.
Further, the typical sample learning module comprises four sub-modules of sample selection, learning parameter setting, sample learning and learning result warehousing, the wiring example detection module comprises three sub-modules of example selection, example detection and inspection result warehousing, and the wiring detection result display output module comprises three sub-modules of a wiring detection list, wiring problem positioning and wiring problem exporting.
Further, the sample selection submodule is used for setting a selection range of the specified sample learning; the learning parameter setting submodule is used for setting an abnormal point out-of-limit threshold; in fact, the sample learning submodule is used for analyzing the sample data one by one and learning typical wiring characteristics of the sample; and the learning result warehousing submodule is used for counting the probability of the occurrence of the typical characteristics of the sample and warehousing the learning results.
Further, the example selection submodule is used for selecting a detection range; the instance detection submodule is used for detecting the difference value of the statistical probability of the instance data and the statistical probability of the learning database from the set abnormal point threshold crossing value according to the statistical probability data based on the learning result database, and if the statistical probability of the detection instance data at a certain detection point is greater than the statistical probability of the learning database, the detection instance data is considered to be abnormal data; and the inspection result storage submodule is used for writing the abnormal data into the abnormal detection result library.
Further, the wiring detection list submodule is used for listing an abnormal single line diagram list and a specific wiring problem list in an abnormal detection result library; the wiring problem positioning submodule is used for positioning a specific wiring problem; the wiring problem derivation submodule is used for deriving the wiring problem.
The invention has the beneficial effects that:
the invention can judge the wiring rationality of other newly-added and adjusted single line diagrams from the machine learning angle by taking a typical single line diagram as a blue book through the machine learning, form a virtuous circle through an experience learning mode and guide the wiring detection of the single line diagram, thereby overcoming the problem that the experience of a normative single line diagram in the prior art cannot be passed and used for reference and effectively improving the efficiency of the wiring detection.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the present invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail with reference to the accompanying drawings, in which:
FIG. 1 is a schematic flow diagram of the process of the present invention;
FIG. 2 is a schematic diagram of the device architecture of the present invention.
Detailed Description
Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. It should be understood that the preferred embodiments are illustrative of the invention only and are not limiting upon the scope of the invention.
As shown in fig. 1, a single-line diagram routing inspection method of the present invention includes the following steps:
step S1: typical wiring sample learning: performing typical wiring learning on the typical sample single line diagrams one by one, and writing a wiring statistical probability distribution result into a learning result library;
step S2: carrying out wiring example detection: and detecting the example single line diagram, specifically, starting from a set abnormal point threshold, detecting a difference value between the statistical probability of the example data and the statistical probability of the learning database, and if the statistical probability of the detected example data at a certain detection point is greater than the statistical probability of the learning database, considering the detected example data as abnormal data and writing the abnormal data into an abnormal result library.
Step S3: and (3) carrying out wiring detection result display output: and detecting, positioning and outputting the detection result in the abnormal result library. The method specifically comprises the following steps:
listing an abnormal single line diagram list and a specific wiring problem list in an abnormal detection result library;
positioning a specific wiring problem;
the wiring problem is led out.
As shown in fig. 2, based on the design idea of the foregoing method, the present invention further provides a single line diagram wiring inspection apparatus, which includes a typical wiring sample learning module, a wiring example detection module, and a wiring detection result display output module, and the performance and composition of the apparatus are detailed as follows:
(1) typical wiring sample learning module: learning typical sample data based on a statistical abnormal point detection algorithm, and warehousing learning results; the typical sample learning module comprises four sub-modules of sample selection, learning parameter setting, sample learning and learning result storage, wherein:
the sample selection submodule is used for setting a selection range of appointed sample learning;
the learning parameter setting submodule is used for setting the threshold value of abnormal point out-of-limit;
the sample learning submodule is used for analyzing the sample data one by one and learning typical wiring characteristics of the sample;
and the learning result warehousing submodule is used for counting the probability of the occurrence of the typical characteristics of the sample and warehousing the learning results.
(2) A wiring example detection module: actual detection is carried out on the example to be detected based on the learning result of the typical wiring sample learning component; the wiring example detection module comprises three sub-modules of example selection, example detection and inspection result warehousing, wherein:
the example selection submodule is used for selecting a detection range;
the instance detection submodule is used for detecting the difference value of the statistical probability of the instance data and the statistical probability of the learning database from the set abnormal point threshold crossing value according to the statistical probability data based on the learning result database, and if the statistical probability of the detection instance data at a certain detection point is greater than the statistical probability of the learning database, the detection instance data is considered to be abnormal data;
and the inspection result storage submodule is used for writing the abnormal data into the abnormal detection result library.
(3) The wiring detection result display output module: and the method is used for displaying and outputting the wiring detection result. The wiring detection result display output module comprises three submodules of a wiring detection list, a wiring problem positioning module and a wiring problem exporting module. Wherein:
the wiring detection list submodule is used for listing an abnormal single line diagram list and a specific wiring problem list in the abnormal detection result library;
the wiring problem positioning submodule is used for positioning a specific wiring problem;
and the wiring problem derivation submodule is used for deriving the wiring problem.
This patent is from machine learning angle to typical single line diagram is the blue book, through machine learning, differentiates the wiring rationality of other newly-increased, adjustment single line diagrams, through experience learning's mode, forms virtuous circle, guides single line diagram wiring detection. Therefore, the problem that experience of a normative single line diagram in the prior art cannot be passed on and used for reference is solved, and the efficiency of wiring detection is effectively improved.
Any process or method descriptions in flow charts or otherwise herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps in the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, and the program may be stored in a computer readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.
Finally, the above embodiments are only intended to illustrate the technical solutions of the present invention and not to limit the present invention, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions, and all of them should be covered by the claims of the present invention.
Claims (8)
1. A single line diagram wiring inspection method is characterized in that: the method comprises the following steps:
step S1: typical wiring sample learning is performed: performing typical wiring learning on the typical sample single line diagrams one by one, and writing a wiring statistical probability distribution result into a learning result library;
step S2: carrying out wiring example detection: detecting an example single line diagram;
step S3: and (3) carrying out wiring detection result display output: and detecting, positioning and outputting the detection result in the abnormal result library.
2. The single-line diagram routing inspection method of claim 1, wherein: in step S2, a difference between the statistical probability of the detection instance data and the statistical probability of the learning database is detected from the set abnormal point threshold, and if the statistical probability of the detection instance data at a certain detection point is greater than the statistical probability of the learning database, the detection instance data is considered as abnormal data and written into the abnormal result database.
3. The single-line diagram routing inspection method of claim 1, wherein: the step S3 specifically includes
Listing an abnormal single line diagram list and a specific wiring problem list in an abnormal detection result library;
positioning a specific wiring problem;
the wiring problem is led out.
4. A single-line diagram wiring inspection apparatus characterized in that: the device comprises a typical wiring sample learning module, a wiring example detection module and a wiring detection result display output module,
the typical wiring sample learning module realizes learning of typical sample data based on a statistical abnormal point detection algorithm and puts learning results into a warehouse;
the wiring example detection module is used for actually detecting the example to be detected based on the learning result of the typical wiring sample learning component;
and the wiring detection result display output module is used for displaying and outputting the wiring detection result.
5. The single-wire diagram routing inspection device of claim 4, wherein: the typical sample learning module comprises four sub-modules of sample selection, learning parameter setting, sample learning and learning result warehousing, the wiring example detection module comprises three sub-modules of example selection, example detection and inspection result warehousing, and the wiring detection result display output module comprises three sub-modules of a wiring detection list, wiring problem positioning and wiring problem exporting.
6. The single-wire diagram routing inspection device of claim 5, wherein: the sample selection submodule is used for setting a selection range of appointed sample learning;
the learning parameter setting submodule is used for setting an abnormal point out-of-limit threshold;
the sample learning submodule is used for analyzing the sample data one by one and learning typical wiring characteristics of the sample;
and the learning result warehousing submodule is used for counting the probability of the occurrence of the typical characteristics of the sample and warehousing the learning results.
7. The single-wire diagram routing inspection device of claim 5, wherein: the example selection submodule is used for selecting a detection range;
the example detection submodule is used for detecting the difference value of the statistical probability of the example data and the statistical probability of the learning database from the set abnormal point threshold crossing value according to the statistical probability data based on the learning result database, and if the statistical probability of the detection example data at a certain detection point is greater than the statistical probability of the learning database, the detection example data are considered to be abnormal data;
and the inspection result storage submodule is used for writing the abnormal data into the abnormal detection result library.
8. The single-wire diagram routing inspection device of claim 5, wherein: the wiring detection list submodule is used for listing an abnormal single line diagram list and a specific wiring problem list in an abnormal detection result library;
the wiring problem positioning submodule is used for positioning a specific wiring problem;
the wiring problem derivation submodule is used for deriving the wiring problem.
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