CN111968009B - PDPC-based power grid intelligent operation instruction ticket booking method and system - Google Patents

PDPC-based power grid intelligent operation instruction ticket booking method and system Download PDF

Info

Publication number
CN111968009B
CN111968009B CN202010745332.8A CN202010745332A CN111968009B CN 111968009 B CN111968009 B CN 111968009B CN 202010745332 A CN202010745332 A CN 202010745332A CN 111968009 B CN111968009 B CN 111968009B
Authority
CN
China
Prior art keywords
scheduling
ticket
sequence
instruction
power grid
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202010745332.8A
Other languages
Chinese (zh)
Other versions
CN111968009A (en
Inventor
石伟
李万彬
冯永彬
杨海荣
赵青
任庆祥
王军
陈宗明
王冉
杨硕
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Dezhou Power Supply Co of State Grid Shandong Electric Power Co Ltd
Original Assignee
Dezhou Power Supply Co of State Grid Shandong Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Dezhou Power Supply Co of State Grid Shandong Electric Power Co Ltd filed Critical Dezhou Power Supply Co of State Grid Shandong Electric Power Co Ltd
Priority to CN202010745332.8A priority Critical patent/CN111968009B/en
Publication of CN111968009A publication Critical patent/CN111968009A/en
Application granted granted Critical
Publication of CN111968009B publication Critical patent/CN111968009B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit 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
    • H02J13/00002Circuit 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
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit 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
    • H02J13/00006Circuit 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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS 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
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS 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
    • Y04S40/00Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/12Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment

Abstract

The invention provides a PDPC-based method and a PDPC-based system for realizing the ticket drafting of an intelligent operation instruction ticket of a power grid, which realize the generation of the operation instruction ticket through operation task reasoning and scheduling instruction reasoning in sequence, match the scheduling operation task of an operation sequence buffer area with the running state of equipment and a scheduling operation rule in sequence in the operation task reasoning process, and insert the conclusion of an application rule into the scheduling operation task; in the scheduling instruction reasoning process, for the operation tasks of the operation task sequence, sequentially matching the application objects and the types of the electrical equipment, converting the operation tasks into operation contents, and completing the ticket drawing process of the operation tickets; the invention does not need manual modification, avoids the problems of nonstandard ticket filling and wrong ticket filling, realizes ticket simulation automation, improves the qualification rate of the operation instruction ticket, shortens the issuing time, and ensures the power grid safety and enterprise benefit.

Description

PDPC-based power grid intelligent operation instruction ticket booking method and system
Technical Field
The invention relates to the technical field of power grid operation instruction tickets, in particular to a PDPC-based power grid intelligent operation instruction ticket booking method and system.
Background
With the continuous expansion of power grids and the increase of the number of substations, the working strength and the operation risk of dispatchers are increasing day by day, and dispatchers not only need to be responsible for monitoring tasks of substations and serve as commanders of power grid operation and accident handling, but also need to be responsible for the correctness and timeliness of dispatching instructions issued in planning work and accident handling.
At present, in a compiling link of a used order management system OMS in a process of issuing a scheduling operation instruction, only manual typing input or single use of a imported historical ticket is used as a base and then manual modification is carried out, so that the problems of nonstandard ticket filling, wrong filling and the like of regulating and controlling personnel are easily caused, and the qualification rate and the issuing time of the operation instruction ticket are influenced.
Disclosure of Invention
The invention aims to provide a PDPC-based method and a PDPC-based system for simulating a power grid intelligent operation instruction ticket, which aim to solve the problems of nonstandard ticket filling and errors of the operation instruction ticket which is manually finished in the prior art, realize ticket simulation automation, improve the qualification rate of the operation instruction ticket, shorten the issuing time and ensure the power grid safety and enterprise benefits.
In order to achieve the technical purpose, the invention provides a PDPC-based power grid intelligent operation instruction ticket booking method, which comprises the following operations:
sending all scheduling operation tasks to be inferred into an operation sequence buffer area, taking the scheduling operation tasks out of the operation task sequence buffer area in sequence, matching the running state of equipment and rules in a scheduling and running rule base in sequence, selecting the most appropriate rule, inserting the conclusion of the application rule into the scheduling operation tasks of the current inference, and marking the inference until no scheduling tasks which are not inferred exist in the buffer area;
traversing the operation task sequence, matching the rules in the scheduling operation rule base, matching the application objects and the types of the electrical equipment in sequence, converting the operation contents into operation contents through variable substitution after the matching is successful, and sending the operation contents into an operation ticket buffer area to finish the ticket drafting process.
The invention also provides a PDPC-based power grid intelligent operation instruction ticket booking system, which comprises:
the operation task reasoning module is used for sending all scheduling operation tasks to be inferred into the operation sequence buffer area, taking the scheduling operation tasks out of the operation task sequence buffer area in sequence, matching the equipment operation state and the rules in the scheduling operation rule base in sequence, selecting the most appropriate rule, inserting the conclusion of the application rule into the scheduling operation task of the current inference, and marking the inferred scheduling operation tasks until no scheduling tasks which are not inferred exist in the buffer area;
and the scheduling instruction reasoning module is used for traversing the operation task sequence, matching the rules in the scheduling operation rule base, sequentially matching the application object and the type of the electrical equipment, converting the operation content into operation content through variable substitution after the matching is successful, and sending the operation content into the operation ticket buffer area to finish the ticket drafting process.
Preferably, the system updates the state of the wire graph in real time through a WebSocket protocol of HTML 5.
Preferably, the system identifies devices in the wiring diagram using a target detection neural network model, wherein a training framework uses Tensorflow, multi-scale features are used for object detection, object classification uses logic instead of softmax, and 256 × 3 is used as input in a Darknet-53 network.
Preferably, the system adopts a dictionary tree algorithm model to count, sort and store instruction ticket combinations, and uses an AC automata algorithm of machine learning to match dictionary trees.
Preferably, the interface curve drawing of the system is automatically drawn by image algorithm-Bezier curve fitting.
Preferably, the system also comprises three subsystems of a user system, a wiring diagram list system and a wiring diagram management system;
the user system comprises authority limit, user binding and login and logout; the wiring diagram list system comprises tree node increasing, deleting, modifying and checking and multi-level node displaying; the wiring diagram management system comprises a wiring diagram uploading module, a wiring diagram instruction list checking module, a wiring diagram editing module and an instruction list exporting module.
The effect provided in the summary of the invention is only the effect of the embodiment, not all the effects of the invention, and one of the above technical solutions has the following advantages or beneficial effects:
compared with the prior art, the method and the device realize the generation of the operation instruction ticket through operation task reasoning and scheduling instruction reasoning in sequence, match the scheduling operation tasks of the operation sequence buffer area with the running state of the equipment and the scheduling running rule in sequence in the operation task reasoning process, and insert the conclusion of the application rule after the scheduling operation tasks; in the scheduling instruction reasoning process, for the operation tasks of the operation task sequence, sequentially matching the application objects and the types of the electrical equipment, converting the operation tasks into operation contents, and completing the ticket drawing process of the operation tickets; the invention does not need manual modification, avoids the problems of nonstandard ticket filling and wrong ticket filling, realizes ticket simulation automation, improves the qualification rate of the operation instruction ticket, shortens the issuing time, and ensures the power grid safety and enterprise benefit.
Drawings
Fig. 1 is a flowchart of a PDPC-based method for generating a power grid smart operation instruction ticket according to an embodiment of the present invention;
fig. 2 is a block diagram of a power grid intelligent operation instruction ticket booking system implemented based on a PDPC in an embodiment of the present invention.
Detailed Description
In order to clearly explain the technical features of the present invention, the following detailed description of the present invention is provided with reference to the accompanying drawings. The following disclosure provides many different embodiments, or examples, for implementing different features of the invention. To simplify the disclosure of the present invention, the components and arrangements of specific examples are described below. Furthermore, the present invention may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed. It should be noted that the components illustrated in the figures are not necessarily drawn to scale. Descriptions of well-known components and processing techniques and procedures are omitted so as to not unnecessarily limit the invention.
The PDPC-based method and system for generating a power grid intelligent operation instruction ticket according to the embodiments of the present invention are described in detail below with reference to the accompanying drawings.
As shown in fig. 1, the invention discloses a PDPC-based power grid intelligent operation instruction ticket booking method, which includes the following operations:
sending all scheduling operation tasks to be inferred into an operation sequence buffer area, taking the scheduling operation tasks out of the operation task sequence buffer area in sequence, matching the running state of equipment and rules in a scheduling and running rule base in sequence, selecting the most appropriate rule, inserting the conclusion of the application rule into the scheduling operation tasks of the current inference, and marking the inference until no scheduling tasks which are not inferred exist in the buffer area;
traversing the operation task sequence, matching the rules in the scheduling operation rule base, matching the application objects and the types of the electrical equipment in sequence, converting the operation contents into operation contents through variable substitution after the matching is successful, and sending the operation contents into an operation ticket buffer area to finish the ticket drafting process.
The power grid dispatching operation order is an operation instruction set for drawing the operation states of the relevant equipment according to the standard operation term description sequence of dispatching operation tasks.
When the operation task reasoning is carried out, all scheduling operation tasks to be reasoned are sent into an operation sequence buffer area, and circular reasoning is started. In the cyclic inference, one scheduling operation task which is not inferred is taken out each time according to the sequence of an operation sequence buffer area, the operation state of equipment is matched from the operation state of a power grid, then rules are taken out from a scheduling operation rule base in sequence for matching, the condition number of a proper operation ticket type rule is selected, the most proper rule is selected, the conclusion of the rule is applied, the conclusion generated by inference is inserted into the scheduling task which is inferred at present, the scheduling task which is being inferred is sent into the buffer area, the scheduling task which is being inferred is marked as inferred, the inference is circulated until the scheduling task which is not inferred does not exist in the buffer area, and the operation task sequence can be obtained.
When scheduling instruction reasoning is carried out, traversing the operation task sequence, taking out one operation task sequence every time, sequentially taking out all rules from a scheduling operation rule base for matching, firstly matching application objects of the rules, continuously judging to match according to the electrical equipment types if the types of the operation objects for executing the operation tasks belong to or the upper layer types of the types are in the application objects of the rules, judging the conditions of each word in the rules if the conditions are met, judging the words meeting the conditions, wherein the text content of the words is the final operation content after variable substitution, sending the final operation content into an operation ticket buffer area, and after the reasoning is finished, the operation ticket buffer area is the final operation ticket.
The embodiment of the invention realizes the generation of the operation instruction ticket through operation task reasoning and scheduling instruction reasoning in sequence, in the operation task reasoning process, the scheduling operation tasks of the operation sequence buffer area are matched with the running state of the equipment and the scheduling running rule in sequence, and the conclusion of the application rule is inserted into the scheduling operation tasks; in the scheduling instruction reasoning process, for the operation tasks of the operation task sequence, sequentially matching the application objects and the types of the electrical equipment, converting the operation tasks into operation contents, and completing the ticket drawing process of the operation tickets; the invention does not need manual modification, avoids the problems of nonstandard ticket filling and wrong ticket filling, realizes ticket simulation automation, improves the qualification rate of the operation instruction ticket, shortens the issuing time, and ensures the power grid safety and enterprise benefit.
As shown in fig. 2, an embodiment of the present invention further discloses a PDPC-based power grid intelligent operation instruction ticket booking system, which includes:
the operation task reasoning module is used for sending all scheduling operation tasks to be inferred into the operation sequence buffer area, taking the scheduling operation tasks out of the operation task sequence buffer area in sequence, matching the equipment operation state and the rules in the scheduling operation rule base in sequence, selecting the most appropriate rule, inserting the conclusion of the application rule into the scheduling operation task of the current inference, and marking the inferred scheduling operation tasks until no scheduling tasks which are not inferred exist in the buffer area;
and the scheduling instruction reasoning module is used for traversing the operation task sequence, matching the rules in the scheduling operation rule base, sequentially matching the application object and the type of the electrical equipment, converting the operation content into operation content through variable substitution after the matching is successful, and sending the operation content into the operation ticket buffer area to finish the ticket drafting process.
The power grid dispatching operation order is an operation instruction set for drawing the operation states of the relevant equipment according to the standard operation term description sequence of dispatching operation tasks.
When the operation task reasoning is carried out, all scheduling operation tasks to be reasoned are sent into an operation sequence buffer area, and circular reasoning is started. In the cyclic inference, one scheduling operation task which is not inferred is taken out each time according to the sequence of an operation sequence buffer area, the operation state of equipment is matched from the operation state of a power grid, then rules are taken out from a scheduling operation rule base in sequence for matching, the condition number of a proper operation ticket type rule is selected, the most proper rule is selected, the conclusion of the rule is applied, the conclusion generated by inference is inserted into the scheduling task which is inferred at present, the scheduling task which is being inferred is sent into the buffer area, the scheduling task which is being inferred is marked as inferred, the inference is circulated until the scheduling task which is not inferred does not exist in the buffer area, and the operation task sequence can be obtained.
When scheduling instruction reasoning is carried out, traversing the operation task sequence, taking out one operation task sequence every time, sequentially taking out all rules from a scheduling operation rule base for matching, firstly matching application objects of the rules, continuously judging to match according to the electrical equipment types if the types of the operation objects for executing the operation tasks belong to or the upper layer types of the types are in the application objects of the rules, judging the conditions of each word in the rules if the conditions are met, judging the words meeting the conditions, wherein the text content of the words is the final operation content after variable substitution, sending the final operation content into an operation ticket buffer area, and after the reasoning is finished, the operation ticket buffer area is the final operation ticket.
The system also includes three subsystems: the system comprises a user system, a wiring diagram list system and a wiring diagram management system, wherein the user system comprises authority limit, user binding and login and logout; the wiring diagram list system comprises tree node increasing, deleting, modifying and checking and multi-level node displaying; the wiring diagram management system comprises a wiring diagram uploading function, a wiring diagram checking instruction list, a wiring diagram editing function and a wiring diagram exporting instruction list, has a graphic function, an anti-error function, a closed-loop flow management function and the like, and is combined with graphics to perform point diagram ticketing, preview checking, business training and the like.
In the system, the wiring diagram state is updated in real time based on a WebSocket protocol of HTML5, so that the Web end is ensured to communicate with the server in real time on the premise of not refreshing the webpage, the latest data of the database is acquired, and the latest data is displayed on the Web webpage in real time.
The method comprises the steps of identifying devices such as switches and buses in a wiring diagram by using an artificial intelligence technology, replacing the devices with operable units on the diagram, using a target detection neural network model, wherein a training frame in the model adopts Tensorflow, object detection is carried out by using multi-scale features, object classification adopts Logistic to replace softmax, 256 is adopted as input in a Darknet-53 network, and a convolution network obtains a final detection result after 79 layers, so that the identification rate of the devices in the wiring diagram is greatly improved.
A large number of instruction ticket combinations are counted, ordered and stored through the dictionary tree algorithm model, matching of the dictionary tree is accelerated by using the machine learning AC automaton algorithm, and detection precision and efficiency are greatly improved.
For curve drawing in a system interface, point positions of equipment such as switches and buses in a wiring diagram are automatically drawn by a Bezier curve drawn in a certain mode for curves in a wiring diagram application program from a starting point, a terminating point and a control point based on image algorithm-Bezier curve fitting, so that the accuracy of the point positions is improved, and the error risk coefficient of operators is reduced.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.

Claims (5)

1. A PDPC-based power grid intelligent operation instruction ticket simulation system is characterized in that the system uses a target detection neural network model to identify equipment in a wiring diagram, a training framework in the model adopts Tensorflow, multi-scale features are used for object detection, object classification adopts Logistic to replace softmax, and 256 is adopted as input in a Darknet-53 network, and the system comprises:
the operation task reasoning module is used for sending all scheduling operation tasks to be inferred into the operation sequence buffer area, taking the scheduling operation tasks out of the operation task sequence buffer area in sequence, matching the equipment operation state and the rules in the scheduling operation rule base in sequence, selecting the most appropriate rule, inserting the conclusion of the application rule into the scheduling operation task of the current inference, and marking the inferred scheduling operation tasks until no scheduling tasks which are not inferred exist in the buffer area;
and the scheduling instruction reasoning module is used for traversing the operation task sequence, matching the rules in the scheduling operation rule base, sequentially matching the application object and the type of the electrical equipment, converting the operation content into operation content through variable substitution after the matching is successful, and sending the operation content into the operation ticket buffer area to finish the ticket drafting process.
2. The PDPC-based power grid intelligent operation instruction ticket booking system as claimed in claim 1, wherein the system updates the state of the wiring diagram in real time through a WebSocket protocol of HTML 5.
3. The PDPC-based power grid intelligent operation instruction ticket booking system as claimed in claim 1, wherein the system adopts a dictionary tree algorithm model to count, sort and store instruction ticket combinations, and uses a machine-learned AC automaton algorithm to match dictionary trees.
4. The PDPC-based power grid intelligent operation instruction ticket booking system as claimed in claim 1, wherein interface curve drawing of the system is automatically drawn through image algorithm-Bezier curve fitting.
5. The PDPC-based power grid intelligent operation instruction ticket booking system is characterized by further comprising three subsystems, namely a user system, a wiring diagram list system and a wiring diagram management system;
the user system comprises authority limit, user binding and login and logout; the wiring diagram list system comprises tree node increasing, deleting, modifying and checking and multi-level node displaying; the wiring diagram management system comprises a wiring diagram uploading module, a wiring diagram instruction list checking module, a wiring diagram editing module and an instruction exporting module.
CN202010745332.8A 2020-07-29 2020-07-29 PDPC-based power grid intelligent operation instruction ticket booking method and system Active CN111968009B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010745332.8A CN111968009B (en) 2020-07-29 2020-07-29 PDPC-based power grid intelligent operation instruction ticket booking method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010745332.8A CN111968009B (en) 2020-07-29 2020-07-29 PDPC-based power grid intelligent operation instruction ticket booking method and system

Publications (2)

Publication Number Publication Date
CN111968009A CN111968009A (en) 2020-11-20
CN111968009B true CN111968009B (en) 2021-05-18

Family

ID=73363126

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010745332.8A Active CN111968009B (en) 2020-07-29 2020-07-29 PDPC-based power grid intelligent operation instruction ticket booking method and system

Country Status (1)

Country Link
CN (1) CN111968009B (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112464630B (en) * 2020-11-30 2022-05-03 海南电网有限责任公司定安供电局 Automatic generation method and system for scheduling instruction ticket
CN113592226A (en) * 2021-06-25 2021-11-02 国能大渡河流域水电开发有限公司 One-key control method and platform for cascade power station group
CN114218900B (en) * 2021-12-23 2024-02-20 国网北京市电力公司 110kV and below transformer substation operation ticket filling method, system, device and medium

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101183802A (en) * 2007-02-06 2008-05-21 深圳职业技术学院 Main-branch station mode based intelligent power system scheduling command ticket automatic generation system
US20110060623A1 (en) * 2009-09-08 2011-03-10 Flower City Group System and Method for Resource Workflow Scheduling
CN102073305A (en) * 2009-11-24 2011-05-25 广东电网公司中山供电局 Cross-platform power grid intelligent program-controlled error-preventing system and operation method and interface communication way
CN102169570A (en) * 2011-05-12 2011-08-31 东北电力大学 Two tickets combined inference billing method of power grid based on work task analysis
CN102324788A (en) * 2011-09-19 2012-01-18 山西省电力公司大同供电分公司 Power dispatching integrated anti-misoperation simulation comprehensive management platform
CN103679350A (en) * 2013-11-28 2014-03-26 四川蓝讯宝迩电子科技有限公司 Power grid switching operation ticket automatic generating system and method
CN103761624A (en) * 2014-01-28 2014-04-30 国网安徽省电力公司 Implementing method of integrated power grid dispatching operation intelligent mistaken-early-warning preventing system
CN104050529A (en) * 2014-05-28 2014-09-17 国网山东省电力公司日照供电公司 Power grid dispatching intelligent maintenance order and operation order system
CN104933535A (en) * 2015-07-03 2015-09-23 国家电网公司 An intelligent monitoring operation ticket management method and a system thereof
CN105303314A (en) * 2015-10-28 2016-02-03 国家电网公司 Bridge-circuit configuration operation command automatic analysis method
CN106296467A (en) * 2016-08-31 2017-01-04 金现代信息产业股份有限公司 A kind of method generating operation order
CN111130116A (en) * 2019-12-14 2020-05-08 贵州电网有限责任公司 Scheduling operation power flow checking method based on key topology change item identification

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106953862B (en) * 2017-03-23 2020-09-25 全球能源互联网研究院有限公司 Sensing method and device for network security situation and sensing model training method and device
CN110019696A (en) * 2017-08-09 2019-07-16 百度在线网络技术(北京)有限公司 Query intention mask method, device, equipment and storage medium
CN111160276B (en) * 2019-12-31 2023-05-12 重庆大学 U-shaped cavity full convolution segmentation network identification model based on remote sensing image

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101183802A (en) * 2007-02-06 2008-05-21 深圳职业技术学院 Main-branch station mode based intelligent power system scheduling command ticket automatic generation system
US20110060623A1 (en) * 2009-09-08 2011-03-10 Flower City Group System and Method for Resource Workflow Scheduling
CN102073305A (en) * 2009-11-24 2011-05-25 广东电网公司中山供电局 Cross-platform power grid intelligent program-controlled error-preventing system and operation method and interface communication way
CN102169570A (en) * 2011-05-12 2011-08-31 东北电力大学 Two tickets combined inference billing method of power grid based on work task analysis
CN102324788A (en) * 2011-09-19 2012-01-18 山西省电力公司大同供电分公司 Power dispatching integrated anti-misoperation simulation comprehensive management platform
CN103679350A (en) * 2013-11-28 2014-03-26 四川蓝讯宝迩电子科技有限公司 Power grid switching operation ticket automatic generating system and method
CN103761624A (en) * 2014-01-28 2014-04-30 国网安徽省电力公司 Implementing method of integrated power grid dispatching operation intelligent mistaken-early-warning preventing system
CN104050529A (en) * 2014-05-28 2014-09-17 国网山东省电力公司日照供电公司 Power grid dispatching intelligent maintenance order and operation order system
CN104933535A (en) * 2015-07-03 2015-09-23 国家电网公司 An intelligent monitoring operation ticket management method and a system thereof
CN105303314A (en) * 2015-10-28 2016-02-03 国家电网公司 Bridge-circuit configuration operation command automatic analysis method
CN106296467A (en) * 2016-08-31 2017-01-04 金现代信息产业股份有限公司 A kind of method generating operation order
CN111130116A (en) * 2019-12-14 2020-05-08 贵州电网有限责任公司 Scheduling operation power flow checking method based on key topology change item identification

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
基于多智能体的全面防误策略;郭创新;《电网技术》;20060228;第30卷(第4期);全文 *
新型智能电网调度操作票自动生成与管理系统;周明等;《电力系统自动化》;20040610;第28卷(第11期);第71-73页 *

Also Published As

Publication number Publication date
CN111968009A (en) 2020-11-20

Similar Documents

Publication Publication Date Title
CN111968009B (en) PDPC-based power grid intelligent operation instruction ticket booking method and system
Wadhwa et al. Modeling FMS with decision Petri nets
CN106533754A (en) Fault diagnosis method and expert system for college teaching servers
CN108345739B (en) Method for identifying CIME and SVG model file information to realize protection fixed value on-line check function and obtain model
CN110909986A (en) Suspected actual controller risk identification method and system based on knowledge graph
CN112699681A (en) Power communication system defect fault order dispatching method and device based on knowledge graph
CN111311133B (en) Monitoring system applied to power grid production equipment
CN106886950A (en) A kind of method that dispatching of power netwoks instruction is automatically generated
CN113095050A (en) Intelligent ticketing method, system, equipment and storage medium
CN102289727A (en) Comprehensive early-warning control system for grid scheduling
CN114746815A (en) Method for creating a digital twin of a facility or device
CN111524031B (en) Implementation method and system for intelligently generating operation steps based on analysis operation task
CN111709597B (en) Power grid production domain operation monitoring system
CN111652760B (en) Power grid operation and maintenance virtual reality simulation system and simulation method
CN110782145B (en) Power dispatching plan decision making system, method and equipment
Martinez et al. A language for the description of concurrent systems modeled by colored Petri nets: Application to the control of flexible manufacturing systems
Baratov et al. Improvement of the scientific bases of creating means of automation of documentation of devices of railway automation and telemechanics
CN115203427A (en) Power system regulation and control regulation knowledge graph management system, knowledge graph generation method and storage medium
CN114925663A (en) Intelligent ticket forming method and system based on overhaul ticket
CN103544345A (en) Intelligent anti-misoperation simulation system of operation tickets
CN113191793A (en) Artificial intelligence based marketing asset delivery demand planning method and device
Coupat et al. Methodology for Railway Automation Study and Automatic Generation of PLC Programs
CN112685608A (en) CYPHER-based power grid dispatching field knowledge attribute graph model construction method
CN111881313A (en) Intelligent ticketing model visual display system
CN109918353A (en) The method and terminal device of automated information processing

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant