CN113642478A - Intelligent operation and maintenance platform - Google Patents
Intelligent operation and maintenance platform Download PDFInfo
- Publication number
- CN113642478A CN113642478A CN202110942589.7A CN202110942589A CN113642478A CN 113642478 A CN113642478 A CN 113642478A CN 202110942589 A CN202110942589 A CN 202110942589A CN 113642478 A CN113642478 A CN 113642478A
- Authority
- CN
- China
- Prior art keywords
- fault
- unit
- module
- equipment
- state
- 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.)
- Withdrawn
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/12—Classification; Matching
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- 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
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] 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
- G06Q10/20—Administration of product repair or maintenance
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- General Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Game Theory and Decision Science (AREA)
- Artificial Intelligence (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The scheme discloses an intelligent operation and maintenance platform in the field of Internet of things, which comprises a monitoring module, a data acquisition module, a full-state information sensing module, a state classification evaluation module and a fault module; the monitoring module transmits signals to the data acquisition module and the all-state information sensing module, and the all-state information sensing module sends the signals to the state evaluation module and the fault module; the all-state information sensing module is used for timely sensing hundreds of power grid faults such as temperature abnormity, partial discharge abnormity and the like which are common to equipment; the state classification evaluation module is used for establishing an equipment index evaluation system, establishing state evaluation models for different types of equipment, displaying the running state of the equipment on line in real time, carrying out regular automatic physical examination on the equipment and providing decision basis for equipment maintenance. The scheme is to provide an operation and maintenance system of the Internet of things smart power grid meeting practical application.
Description
Technical Field
The invention relates to the field of Internet of things, in particular to an intelligent operation and maintenance platform.
Background
At present, the on-line real-time monitoring of the high-voltage power transmission and transformation circuit/tower footing condition is mainly realized by a digital video compression technology, a long-distance GPRS/CDMA/3G/WIFI wireless communication technology, a low-power consumption technology, a solar new energy technology and the like in China, so that not only can the real-time snapshot of the alarm be supported, but also the real-time video can be supported, and meanwhile, all-weather work is completed through self solar power supply, and the real-time monitoring effect is achieved. Therefore, the actual monitoring requirements of fault monitoring and alarming such as the safety of the current high-voltage transmission line and the tower footing are met to a certain extent, but the automation degree is low, the intelligent degree is low, and the interactivity is poor, so that the monitoring and the operation of the power grid can not be rapidly realized, the actual application requirements of monitoring and overhauling of the large-span transmission line can not be met, the power grid maintenance efficiency is low, and the fault power failure time is long.
Disclosure of Invention
The invention aims to provide an intelligent operation and maintenance platform so as to provide an Internet of things intelligent power grid operation and maintenance system meeting practical application.
The intelligent operation and maintenance platform comprises a monitoring module, a data acquisition module, a full-state information sensing module, a state classification evaluation module and a fault module; the monitoring module transmits signals to the data acquisition module and the all-state information sensing module, and the all-state information sensing module sends the signals to the state evaluation module and the fault module;
the monitoring module is used for monitoring the temperature, humidity and partial discharge data of the equipment and monitoring short-circuit faults, open-phase faults, complex faults, power faults and the like;
the data acquisition module is used for acquiring and converging hundreds of thousands of measuring point data of the whole life cycle of the equipment monitored by the monitoring module;
the all-state information sensing module is used for timely sensing hundreds of power grid faults such as temperature abnormity, partial discharge abnormity and the like which are common to equipment;
the state classification evaluation module is used for establishing an equipment index evaluation system, establishing state evaluation models for different types of equipment, displaying the running state of the equipment in real time on line, carrying out regular automatic physical examination on the equipment and providing a decision basis for equipment maintenance;
the fault module is used for receiving the fault signal transmitted by the all-state information sensing module and can timely overhaul equipment.
The working principle and the beneficial effects of the scheme are as follows: when the intelligent operation and maintenance platform is used, the monitoring module monitors the temperature, humidity and partial discharge data of equipment, and monitors the power grid faults such as short-circuit faults, open-phase faults, complex faults, power faults and the like; the monitoring module sends the detected data of different types of equipment to the data acquisition module and the all-state information sensing module, and receives the signals; the data acquisition module acquires and gathers hundreds of thousands of measuring point data of different types of equipment in a full life cycle, a worker can analyze the equipment state according to the data counted by the data acquisition module, the all-state information sensing module displays the equipment data in real time through the monitoring module, the worker can master the equipment operation condition in time, process hundreds of faults of equipment, such as common temperature abnormity, partial discharge abnormity and the like in time, transmit the sensed data to the state analysis module, and transmit the sensed faults to the fault module; after the all-state information sensing module sends data to the state analysis and evaluation module, the state analysis and evaluation module establishes state evaluation on different types of equipment in real time on line, performs regular automatic physical examination on the equipment and provides decision basis for equipment maintenance; after the full-state information sensing module sends the fault to the fault module, the different types of equipment can be conveniently and timely overhauled.
Further, the monitoring module comprises an unmanned aerial vehicle, a robot and a sensor, and the unmanned aerial vehicle, the robot and the sensor send monitored data to the data acquisition module and the all-state information sensing module.
Furthermore, the all-state information sensing module comprises an integrated information analysis unit, a three-dimensional panoramic real-time sensing unit and a display screen, the unmanned aerial vehicle, the robot and the sensor send data to the integrated information analysis unit, the three-dimensional panoramic real-time sensing unit sends signals to the display screen and the integrated information analysis unit, and the integrated information analysis unit analyzes the signals and then sends the data to the state evaluation module and the fault module.
Further, the state classification evaluation module comprises a health state classification evaluation unit and a health trend prediction unit, and the comprehensive information analysis unit transmits the signals to the health state analysis evaluation unit and the health trend prediction unit; the health state classification evaluation unit is used for evaluating the health state of the equipment and analyzing the performance degradation inflection point, and the health trend prediction unit is used for predicting the health trend of the equipment and the maintenance strategy decision of the equipment.
Further, the fault module comprises a fault intelligent early warning unit, a fault intelligent analysis unit and a power protection state comprehensive control unit; the comprehensive information analysis unit transmits signals to the intelligent fault early warning unit and the intelligent fault analysis unit, the three-dimensional panoramic real-time sensing unit transmits the signals to the comprehensive power-saving state management and control unit, the intelligent fault early warning unit establishes a fault prediction model for equipment partial discharge abnormity, temperature abnormity and the like based on data transmitted by the all-state information sensing module, and adopts an artificial intelligence algorithm to reflect a fault occurrence rule so as to realize accurate pre-judgment on the fault; when the equipment state is abnormal or fails, the intelligent fault analysis unit pushes according to the data characteristics and automatically recommends a solution and a similar fault case list; the comprehensive management and control unit for the power protection state displays the running state of equipment in the power protection area in real time through the three-dimensional panoramic real-time sensing unit, and once the equipment fails, the system automatically judges the power failure range and the power failure duration, and carries out real-time tracking on the geographical position of rush-repair personnel to ensure that the failure is processed at the first time.
Further, the fault module still includes the trouble and salvagees the unit, the management and control unit is synthesized with data transfer for the trouble to the unit to the state of protecting the power, the trouble salvagees the unit when equipment breaks down, immediately to equipment the work order is issued to the unit.
Further, unit electric signal connection is salvageed to the trouble has strong warning unit, and the unit is salvageed to the trouble is with data transmission strong warning unit, when strong warning unit received that salvage personnel did not in time confirm the work order in the unit is salvageed to the trouble, dial the salvage personnel's phone automatically and remind.
Further, the fault module still includes the tracking unit is salvageed to the trouble, and the tracking unit is salvageed to the trouble transmits the signal for the unit is salvageed to the trouble, the tracking unit is salvageed to the trouble carries out whole journey tracking record to work order processing progress, trouble salvage process, trouble salvage result, sends data transfer to the unit is salvageed to the trouble again.
Drawings
Fig. 1 is a schematic working diagram of an intelligent operation and maintenance platform according to the present invention.
Detailed Description
The following is further detailed by the specific embodiments:
the embodiment is basically as shown in the attached figure 1: an intelligent operation and maintenance platform comprises a monitoring module, a data acquisition module, a full-state information sensing module, a state classification evaluation module and a fault module;
the monitoring module is used for monitoring the temperature, humidity and partial discharge data of the equipment and monitoring short-circuit faults, open-phase faults, complex faults, power faults and the like;
the data acquisition module is used for acquiring and converging hundreds of thousands of measuring point data of the whole life cycle of the equipment monitored by the monitoring module;
the all-state information sensing module is used for timely sensing hundreds of power grid faults such as common temperature abnormity and partial discharge abnormity of the equipment, so that a worker can timely master the operation condition of the equipment and timely process hundreds of faults such as common temperature abnormity and partial discharge abnormity of the equipment;
the state classification evaluation module is used for establishing an equipment index evaluation system, establishing state evaluation models for different types of equipment, displaying the running state of the equipment in real time on line, carrying out regular automatic physical examination on the equipment and providing a decision basis for equipment maintenance;
the fault module is used for receiving the fault signal transmitted by the all-state information sensing module and can timely overhaul equipment.
The monitoring module comprises an unmanned aerial vehicle, a robot and a sensor;
the all-state information sensing module comprises a comprehensive information analysis unit, a three-dimensional panoramic real-time sensing unit and a display screen;
the state classification evaluation module comprises a health state classification evaluation unit and a health trend prediction unit;
the fault module comprises a fault intelligent early warning unit, a fault intelligent analysis unit, a power protection state comprehensive management and control unit, a fault first-aid repair unit, a strong reminding unit and a fault first-aid repair tracking unit.
The unmanned aerial vehicle, the robot and the sensor send detected data to the data acquisition module and the comprehensive information analysis unit, the three-dimensional panoramic real-time sensing unit transmits signals to the display screen, the comprehensive information analysis unit and the power-saving state comprehensive management and control unit, the comprehensive information analysis unit transmits the signals to the health state analysis and evaluation unit, the health trend prediction unit, the fault intelligent early warning unit and the fault intelligent analysis unit, the health state classification and evaluation unit is used for evaluating the health state and performance degradation inflection point analysis of equipment, and the health trend prediction unit is used for predicting the health trend of the equipment and making equipment maintenance strategy decisions;
the fault intelligent early warning unit establishes a fault prediction model such as equipment partial discharge abnormity, temperature abnormity and the like based on data transmitted by the comprehensive information analysis unit, and adopts an artificial intelligence algorithm to reflect a fault occurrence rule so as to realize accurate pre-judgment of the fault; when the equipment state is abnormal or fails, the intelligent fault analysis unit pushes according to the data characteristics and automatically recommends a solution and a similar fault case list; the comprehensive power-saving state control unit displays the running state of equipment in a power-saving area in real time through data sent by the three-dimensional panoramic real-time sensing unit, and once the equipment fails, the system automatically judges the power failure range and the power failure duration and tracks the geographical position of emergency repair personnel in real time to ensure that the failure is processed at the first time;
the comprehensive power protection state control unit transmits data to the fault first-aid repair unit, and the fault first-aid repair unit immediately issues a work order to the unit of the equipment when the equipment fails;
the fault emergency repair unit is in electric signal connection with a strong reminding unit, the fault emergency repair unit transmits data to the strong reminding unit, and the strong reminding unit automatically dials the telephone of an emergency repair worker for reminding when the strong reminding unit receives that the emergency repair worker in the fault emergency repair unit does not confirm a work order in time;
the fault first-aid repair tracking unit transmits a signal to the fault first-aid repair unit, the fault first-aid repair tracking unit carries out whole-process tracking record on a work order processing progress, a fault first-aid repair process and a fault first-aid repair result, and then transmits data to the fault first-aid repair unit.
The foregoing is merely an example of the present invention and common general knowledge of known specific structures and features of the embodiments is not described herein in any greater detail. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (8)
1. The utility model provides an intelligence fortune dimension platform which characterized in that: the system comprises a monitoring module, a data acquisition module, a full-state information sensing module, a state classification evaluation module and a fault module; the monitoring module transmits signals to the data acquisition module and the all-state information sensing module, and the all-state information sensing module sends the signals to the state evaluation module and the fault module;
the monitoring module is used for monitoring the temperature, humidity and partial discharge data of the equipment and monitoring short-circuit faults, open-phase faults, complex faults, power faults and the like;
the data acquisition module is used for acquiring and converging hundreds of thousands of measuring point data of the whole life cycle of the equipment monitored by the monitoring module;
the all-state information sensing module is used for timely sensing hundreds of power grid faults such as temperature abnormity, partial discharge abnormity and the like which are common to equipment;
the state classification evaluation module is used for establishing an equipment index evaluation system, establishing state evaluation models for different types of equipment, displaying the running state of the equipment in real time on line, carrying out regular automatic physical examination on the equipment and providing a decision basis for equipment maintenance;
the fault module is used for receiving the fault signal transmitted by the all-state information sensing module and can timely overhaul equipment.
2. The intelligent operation and maintenance platform according to claim 1, wherein: the monitoring module comprises an unmanned aerial vehicle, a robot and a sensor, and the unmanned aerial vehicle, the robot and the sensor send monitored data to the data acquisition module and the all-state information sensing module.
3. The intelligent operation and maintenance platform according to claim 2, wherein: the all-state information sensing module comprises an integrated information analysis unit, a three-dimensional panoramic real-time sensing unit and a display screen, the unmanned aerial vehicle, the robot and the sensor send data to the integrated information analysis unit, the three-dimensional panoramic real-time sensing unit sends signals to the display screen and the integrated information analysis unit, and the integrated information analysis unit analyzes the signals and then sends the data to the state evaluation module and the fault module.
4. The intelligent operation and maintenance platform according to claim 3, wherein: the state classification evaluation module comprises a health state classification evaluation unit and a health trend prediction unit, and the comprehensive information analysis unit transmits signals to the health state analysis evaluation unit and the health trend prediction unit; the health state classification evaluation unit is used for evaluating the health state of the equipment and analyzing the performance degradation inflection point, and the health trend prediction unit is used for predicting the health trend of the equipment and the maintenance strategy decision of the equipment.
5. The intelligent operation and maintenance platform according to claim 4, wherein: the fault module comprises a fault intelligent early warning unit, a fault intelligent analysis unit and a power protection state comprehensive management and control unit; the comprehensive information analysis unit transmits signals to the intelligent fault early warning unit and the intelligent fault analysis unit, the three-dimensional panoramic real-time sensing unit transmits the signals to the comprehensive power-saving state management and control unit, the intelligent fault early warning unit establishes a fault prediction model for equipment partial discharge abnormity, temperature abnormity and the like based on data transmitted by the all-state information sensing module, and adopts an artificial intelligence algorithm to reflect a fault occurrence rule so as to realize accurate pre-judgment on the fault; when the equipment state is abnormal or fails, the intelligent fault analysis unit pushes according to the data characteristics and automatically recommends a solution and a similar fault case list; the comprehensive management and control unit for the power protection state displays the running state of equipment in the power protection area in real time through the three-dimensional panoramic real-time sensing unit, and once the equipment fails, the system automatically judges the power failure range and the power failure duration, and carries out real-time tracking on the geographical position of rush-repair personnel to ensure that the failure is processed at the first time.
6. The intelligent operation and maintenance platform according to claim 5, wherein: the fault module further comprises a fault first-aid repair unit, the power protection state comprehensive control unit transmits data to the fault first-aid repair unit, and the fault first-aid repair unit immediately sends a work order to the equipment when the equipment breaks down.
7. The intelligent operation and maintenance platform according to claim 6, wherein: the electric signal connection of the fault emergency repair unit is provided with a strong reminding unit, the fault emergency repair unit transmits data to the strong reminding unit, and when the strong reminding unit receives that emergency repair personnel in the fault emergency repair unit do not confirm the work order in time, the strong reminding unit automatically dials the telephone of the emergency repair personnel to remind.
8. The intelligent operation and maintenance platform according to claim 7, wherein: the fault module further comprises a fault first-aid repair tracking unit, the fault first-aid repair tracking unit transmits a signal to the fault first-aid repair unit, the fault first-aid repair tracking unit carries out whole-process tracking record on work order processing progress, a fault first-aid repair process and a fault first-aid repair result, and then transmits data to the fault first-aid repair unit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110942589.7A CN113642478A (en) | 2021-08-17 | 2021-08-17 | Intelligent operation and maintenance platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110942589.7A CN113642478A (en) | 2021-08-17 | 2021-08-17 | Intelligent operation and maintenance platform |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113642478A true CN113642478A (en) | 2021-11-12 |
Family
ID=78422397
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110942589.7A Withdrawn CN113642478A (en) | 2021-08-17 | 2021-08-17 | Intelligent operation and maintenance platform |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113642478A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115099618A (en) * | 2022-06-23 | 2022-09-23 | 国网福建省电力有限公司 | Substation equipment health state scoring method based on panoramic information |
| CN115310952A (en) * | 2022-10-11 | 2022-11-08 | 海油来博(天津)科技股份有限公司 | Enterprise asset management method and system based on Internet of things |
-
2021
- 2021-08-17 CN CN202110942589.7A patent/CN113642478A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115099618A (en) * | 2022-06-23 | 2022-09-23 | 国网福建省电力有限公司 | Substation equipment health state scoring method based on panoramic information |
| CN115310952A (en) * | 2022-10-11 | 2022-11-08 | 海油来博(天津)科技股份有限公司 | Enterprise asset management method and system based on Internet of things |
| CN115310952B (en) * | 2022-10-11 | 2023-01-10 | 海油来博(天津)科技股份有限公司 | Enterprise asset management method and system based on Internet of things |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106655522B (en) | A kind of main station system suitable for electric grid secondary equipment operation management | |
| CN104020754B (en) | Method for enabling state monitoring information of transformer station primary main equipment to access to regulation and control system | |
| CN105897925A (en) | Mobile remote electric power monitoring system based on 4G network and monitoring method | |
| CN103761776B (en) | The monitoring of a kind of highway weight metering charging equipment working state and maintenance system and method | |
| CN113642478A (en) | Intelligent operation and maintenance platform | |
| CN202049215U (en) | High-voltage power transmission line fault on-line monitoring system based on simple wavelet algorithm | |
| CN110988559A (en) | Online monitoring method for full life cycle of transformer substation direct current system based on Internet of things | |
| CN202210709U (en) | Distribution transformer real time monitoring system | |
| CN115016339A (en) | Monitoring method, device and medium for outdoor power equipment | |
| CN110011864A (en) | A kind of high-speed railway touching net method for monitoring safety status | |
| CN205484727U (en) | Wireless battery system of patrolling and examining | |
| CN113852661A (en) | Carrier roller fault monitoring system and method for flow supply chain carrying equipment based on sound wave analysis | |
| CN113644974A (en) | Fault management and control system of optical fiber communication port network | |
| CN205846861U (en) | A kind of 500 kv substation communication equipment intelligence regular visit systems | |
| CN209311894U (en) | A kind of real-time road construction Supervision system based on cloud | |
| CN111308239A (en) | Wireless monitoring system for GIS state online monitoring | |
| CN107328438A (en) | A kind of power transformer runs comprehensive monitor system | |
| CN114485796A (en) | Online state monitoring self-diagnosis system of box-type substation | |
| CN109980782A (en) | A kind of the wireless monitor detector and system of electric line safe operation | |
| CN117614487A (en) | Beidou system-based transmission line communication method and system | |
| CN117595493A (en) | Power plant electrical equipment safety monitoring system | |
| CN117578711A (en) | Power grid power transmission quantity monitoring system and monitoring method thereof | |
| CN117439265A (en) | Distribution network equipment running state monitoring device and application method thereof | |
| CN116707139A (en) | Transformer substation based on digital twin technology | |
| CN111812496A (en) | Online detection system and method for alternating current filament switching relay |
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 | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20211112 |