CN220457173U - Data analysis system suitable for power grid monitoring maintenance - Google Patents
Data analysis system suitable for power grid monitoring maintenance Download PDFInfo
- Publication number
- CN220457173U CN220457173U CN202320291134.8U CN202320291134U CN220457173U CN 220457173 U CN220457173 U CN 220457173U CN 202320291134 U CN202320291134 U CN 202320291134U CN 220457173 U CN220457173 U CN 220457173U
- Authority
- CN
- China
- Prior art keywords
- data
- module
- monitoring
- abnormal
- early warning
- 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
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 89
- 238000007405 data analysis Methods 0.000 title claims abstract description 21
- 238000012423 maintenance Methods 0.000 title claims description 20
- 230000002159 abnormal effect Effects 0.000 claims abstract description 65
- 238000012545 processing Methods 0.000 claims abstract description 40
- 238000004458 analytical method Methods 0.000 claims abstract description 31
- 238000000034 method Methods 0.000 claims abstract description 7
- 238000001514 detection method Methods 0.000 claims description 6
- 230000005856 abnormality Effects 0.000 claims description 5
- 230000003287 optical effect Effects 0.000 claims description 3
- 230000007547 defect Effects 0.000 description 4
- 238000012216 screening Methods 0.000 description 4
- 238000009826 distribution Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 230000010485 coping Effects 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000012163 sequencing technique Methods 0.000 description 2
- 238000004148 unit process Methods 0.000 description 2
- 230000006399 behavior Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000010355 oscillation Effects 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Abstract
The utility model discloses a data analysis system suitable for monitoring and maintaining a power grid, which comprises a data monitoring module, a central processing unit, an abnormal data recording module, an early warning module and an accident analysis module; the central processing unit receives data from the data monitoring module and the abnormal data recording module, processes the data and outputs signals or instructions to the early warning module and the accident analysis module; the system can monitor various data in the power grid, identify abnormal data, classify equipment and lines from which the abnormal data is derived, identify key equipment and lines, and perform priority processing and early warning on the key data of the key equipment and the lines, so that the system is more flexible and reasonable.
Description
Technical Field
The utility model relates to the technical field of power grid monitoring and maintenance, in particular to a data analysis system suitable for power grid monitoring and maintenance.
Background
With the gradual development of the power network, the water rise is required for the dynamic behavior monitoring and control of the power system, and the data analysis system for monitoring and maintaining the power grid becomes a main data source for acquiring dynamic real-time data by the power system dispatching center and is combined with the EMS system and the safety automatic control module so as to strengthen the dynamic safety and stability monitoring of the power system and ensure the safety and stability of personnel and equipment.
At present, the production and life of people are not separated from a power system, the power load is continuously increased, the equipment hierarchy architecture and logic control are also more and more complicated, the pressure is not small for the power network, so that the power grid monitoring maintenance is an indispensable part of the power distribution system, the size problems caused by the conditions of fault disturbance, low-frequency oscillation, system test and the like are solved, the power grid monitoring maintenance system in the prior art is more biased to the functions of alarming, overhauling and auxiliary early warning before and after an accident, and the defect that the power grid monitoring maintenance system does not have the key monitoring function of accident frequent equipment or circuit range and does not classify equipment and key circuits is overcome; therefore, in order to ensure the electricity consumption requirements in life and production, it is important to design a data analysis system for monitoring and maintaining the power grid.
Therefore, those skilled in the art have been working to develop a data analysis system suitable for grid monitoring maintenance, which aims to solve the problem of defects of the data analysis system in the prior art in the grid monitoring maintenance process.
Disclosure of Invention
In view of the above-mentioned defects of the prior art, the novel technical problem to be solved in the experiment is that most of the power grid monitoring maintenance systems in the prior art have no flexibility in early warning function and do not have the defect of carrying out important monitoring in the range of accident frequent equipment or key circuits.
In order to achieve the above purpose, the utility model provides a data analysis system suitable for monitoring and maintaining a power grid, which comprises a data monitoring module, a central processing unit, an abnormal data recording module, an early warning module and an accident analysis module; the central processing unit receives data from the data monitoring module and the abnormal data recording module, processes the data and outputs signals or instructions to the early warning module and the accident analysis module;
further, the data monitoring module comprises an optical temperature monitoring module, a field monitoring module, a current and voltage monitoring module and a fault arc detection module; the light temperature monitoring module comprises a temperature sensor for monitoring the temperature of the electric wire in real time and a photosensitive sensor for monitoring a line abnormality prompting lamp or spark in real time; the field monitoring module comprises a camera device and a positioning device, and is used for monitoring the working condition of the device in real time and rapidly positioning the position of the abnormal device after the subsequent staff receives the alarm; the current and voltage monitoring module comprises a current transformer and a voltage transformer and is used for monitoring current and voltage conditions in a line in real time; the fault arc detection module comprises a fault arc monitoring detector which can monitor the fault arc of the electrical equipment so as to judge the current fault state;
further, the central processing unit performs comparison and analysis according to the data sent by the data monitoring module and the normal data, screens out abnormal data, and sends the data to the abnormal data recording module for abnormal data recording; the central processing unit judges early warning content according to the abnormal data and sends the type, the position and the abnormal event content of the abnormal equipment to the early warning module; the central processing unit sends accident data which occur in a few moments or in a short time to the accident analysis module;
further, the abnormal data recording module is used for recording the type of abnormal equipment and abnormal event content data sent by the central processing unit; the abnormal equipment type is mainly the names of all equipment in the power system when the system is actually applied; the abnormal event mainly comprises various data records when the accident type and the equipment are abnormal; the abnormal data recording module comprises computer equipment with statistics and sequencing functions and is used for sorting event types of different equipment according to time sequence, and meanwhile, manual screening is added for screening error data, and important points are marked on equipment and lines with more abnormality; for key data in the abnormal data recording module, the central processing unit receives and transmits the data to the accident analysis module;
further, the early warning module comprises an early warning device and a PC end information push; the early warning device emits sound and lights a warning lamp after receiving the early warning signal, and is used for prompting workers to repair fault circuits and equipment and locally protect damaged or to-be-damaged line ranges; the PC end information pushing device is used for prompting monitoring indoor staff in real time and guiding emergency repair staff correspondingly in time;
further, the accident analysis module receives key abnormal data and early warning data sent by the central processing unit; the accident analysis module applies statistical analysis software and a corresponding electronic computer to obtain a time-corresponding numerical curve of each item of data, and a worker analyzes an alarm reason by combining the curve to obtain an analysis result and a coping method; the accident analysis module sends the key monitoring objects to the central processing unit according to the analysis result, and the central processing unit processes data preferentially for the key objects in the future;
by adopting the scheme, the data analysis system suitable for monitoring and maintaining the power grid disclosed by the utility model has the following technical effects:
1. the data analysis system suitable for monitoring and maintaining the power grid can identify abnormal data while monitoring various data in the power grid, and timely early warning and reminding staff of maintenance.
2. The data analysis system suitable for power grid monitoring and maintenance provided by the utility model classifies accident frequent equipment and lines by using statistical software, and performs priority processing and early warning on the important data, so that the system is more flexible and reasonable.
In summary, the data analysis system suitable for monitoring and maintaining the power grid can identify abnormal data while monitoring various data in the power grid, classify equipment and lines from which the abnormal data is derived, identify key equipment and lines, and perform priority processing and early warning on the key data of the key equipment and the lines, so that the system is more flexible and reasonable.
The conception, specific structure, and technical effects of the present utility model will be further described with reference to the drawings and the detailed description to fully understand the objects, features, and effects of the present utility model.
Drawings
FIG. 1 is a system flow diagram of a data analysis system suitable for grid monitoring maintenance in accordance with the present utility model;
Detailed Description
The following description of the preferred embodiments of the present utility model refers to the accompanying drawings, which make the technical contents thereof more clear and easier to understand. This utility model may be embodied in many different forms of embodiments and should not be construed as limited to the embodiments set forth herein.
In the drawings, like structural elements are referred to by like reference numerals and components having similar structure or function are referred to by like reference numerals. The dimensions and thickness of each component shown in the drawings are arbitrarily shown, and the present utility model is not limited to the dimensions and thickness of each component. The thickness of the components is exaggerated in some places in the drawings for clarity of illustration.
As shown in fig. 1, the data analysis system suitable for monitoring and maintaining the power grid comprises a data monitoring module, a central processing unit, an abnormal data recording module, an early warning module and an accident analysis module; the central processing unit receives data from the data monitoring module and the abnormal data recording module, processes the data and outputs signals or instructions to the early warning module and the accident analysis module;
the data monitoring module comprises an optical temperature monitoring module, a field monitoring module, a current and voltage monitoring module and a fault arc detection module; the light temperature monitoring module comprises a temperature sensor for monitoring the temperature of the electric wire in real time and a photosensitive sensor for monitoring a line abnormality prompting lamp or spark in real time; the field monitoring module comprises a camera device and a positioning device, and is used for monitoring the working condition of the device in real time and rapidly positioning the position of the abnormal device after the subsequent staff receives the alarm; the current and voltage monitoring module comprises a current transformer and a voltage transformer and is used for monitoring current and voltage conditions in a line in real time; the fault arc detection module comprises a fault arc monitoring detector which can monitor the fault arc of the electrical equipment so as to judge the current fault state;
the central processing unit performs comparison and analysis on the data sent by the data monitoring module and the normal data, screens out abnormal data, and sends the data to the abnormal data recording module for abnormal data recording; the central processing unit judges early warning content according to the abnormal data and sends the type, the position and the abnormal event content of the abnormal equipment to the early warning module; the central processing unit sends accident data which occur in a few moments or in a short time to the accident analysis module;
the abnormal data recording module is used for recording the type of abnormal equipment and abnormal event content data sent by the central processing unit; the abnormal equipment type is mainly the names of all equipment in the power system when the system is actually applied; the abnormal event mainly comprises various data records when the accident type and the equipment are abnormal; the abnormal data recording module comprises computer equipment with statistics and sequencing functions and is used for sorting event types of different equipment according to time sequence, and meanwhile, manual screening is added for screening error data, and important points are marked on equipment and lines with more abnormality; for key data in the abnormal data recording module, the central processing unit receives and transmits the data to the accident analysis module;
the early warning module comprises an early warning device and a PC end information push; the early warning device emits sound and lights a warning lamp after receiving the early warning signal, and is used for prompting workers to repair fault circuits and equipment and locally protect damaged or to-be-damaged line ranges; the PC end information pushing device is used for prompting monitoring indoor staff in real time and guiding emergency repair staff correspondingly in time;
the accident analysis module receives key abnormal data and early warning data sent by the central processing unit; the accident analysis module applies statistical analysis software and a corresponding electronic computer to obtain a time-corresponding numerical curve of each item of data, and a worker analyzes an alarm reason by combining the curve to obtain an analysis result and a coping method; the accident analysis module sends the key monitoring objects to the central processing unit according to the analysis result, and the central processing unit processes data preferentially for the key objects in the future;
when the system is used, the data analysis system suitable for monitoring and maintaining the power grid is applied to a certain power distribution network, the data monitoring module monitors the voltage and current of a line, fault arc and abnormal fire in real time, monitors all devices in an omnibearing manner in cooperation with camera shooting monitoring, sends monitoring data to the central processing unit in real time, sends the abnormal data to the abnormal data central processing unit for storage and statistics of the abnormal data recording module, and marks important points on the abnormal devices and the line and sends important data types to the central processing unit; the central processing unit sends out early warning instructions to the early warning module after receiving the abnormal data, the early warning module sends out emergency repair and inspection reminding to the staff through an alarm sound, a warning lamp and an on-line pushing mode, and the staff carries out maintenance and inspection on the local line; various early warning indication data and abnormal data are sent to an accident analysis module by a central processing unit, the accident analysis module applies statistics and analysis software to obtain a time-corresponding numerical curve of each item of data, and the analysis of the alarm reasons is combined with the curve, so that a key monitoring object is sent to the central processing unit, and the data are treated as priority data in the future; for example, if a certain transformer or motor is frequently damaged in the past to cause the burning of the circuit and equipment and the power failure of the whole power distribution system, the equipment and the circuit are monitored as key data, and the processing priority is improved;
through practical use, when the data analysis system suitable for power grid monitoring maintenance of the embodiment is used for power grid monitoring maintenance, abnormal data can be identified while various data in a power grid can be monitored, equipment and lines from which the abnormal data is derived are classified, key equipment and lines are identified, and the key data of the key equipment and the lines are subjected to priority processing and early warning, so that the system is more flexible and reasonable.
The foregoing describes in detail preferred embodiments of the present utility model. It should be understood that numerous modifications and variations can be made in accordance with the concepts of the utility model without requiring creative effort by one of ordinary skill in the art. Therefore, all technical solutions which can be obtained by logic analysis, reasoning or limited experiments based on the prior art by the person skilled in the art according to the inventive concept shall be within the scope of protection defined by the claims.
Claims (4)
1. The data analysis system suitable for the power grid monitoring maintenance is characterized by comprising a data monitoring module, a central processing unit, an abnormal data recording module, an early warning module and an accident analysis module;
the central processing unit receives data from the data monitoring module and the abnormal data recording module, processes the data and outputs signals or instructions to the early warning module and the accident analysis module;
the data monitoring module comprises an optical temperature monitoring module, a field monitoring module, a current and voltage monitoring module and a fault arc detection module;
the central processing unit performs comparison and analysis on the data sent by the data monitoring module and the normal data, screens out abnormal data, and sends the data to the abnormal data recording module for abnormal data recording;
the abnormal data recording module is used for recording the type of abnormal equipment and abnormal event content data sent by the central processing unit;
the early warning module comprises an early warning device and a PC end information push;
the accident analysis module receives key abnormal data and early warning data sent by the central processing unit.
2. A data analysis system suitable for grid monitoring maintenance as defined in claim 1,
the light temperature monitoring module comprises a temperature sensor for monitoring the temperature of the electric wire in real time and a photosensitive sensor for monitoring a line abnormality prompting lamp or spark in real time;
the field monitoring module comprises a camera device and a positioning device, and is used for monitoring the working condition of the device in real time and rapidly positioning the position of the abnormal device after the subsequent staff receives the alarm;
the current and voltage monitoring module comprises a current transformer and a voltage transformer and is used for monitoring current and voltage conditions in a line in real time;
the fault arc detection module comprises a fault arc monitoring detector which can monitor the fault arc of the electrical equipment so as to judge the current fault state.
3. A data analysis system suitable for grid monitoring maintenance as defined in claim 1,
the central processing unit judges early warning content according to the abnormal data and sends the type, the position and the abnormal event content of the abnormal equipment to the early warning module;
the central processing unit sends accident data which occur in a few moments or in a short time to the accident analysis module.
4. A data analysis system suitable for grid monitoring maintenance as defined in claim 1,
the early warning device emits sound and lights a warning lamp after receiving the early warning signal, and is used for prompting workers to repair fault circuits and equipment and locally protect damaged or to-be-damaged line ranges; the PC end information pushing device is used for prompting monitoring indoor staff in real time and guiding rush repair staff correspondingly in time.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202320291134.8U CN220457173U (en) | 2023-02-22 | 2023-02-22 | Data analysis system suitable for power grid monitoring maintenance |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202320291134.8U CN220457173U (en) | 2023-02-22 | 2023-02-22 | Data analysis system suitable for power grid monitoring maintenance |
Publications (1)
Publication Number | Publication Date |
---|---|
CN220457173U true CN220457173U (en) | 2024-02-06 |
Family
ID=89727566
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202320291134.8U Active CN220457173U (en) | 2023-02-22 | 2023-02-22 | Data analysis system suitable for power grid monitoring maintenance |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN220457173U (en) |
-
2023
- 2023-02-22 CN CN202320291134.8U patent/CN220457173U/en active Active
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103473710B (en) | A kind of failure sorted processing method concentrating operational system | |
CN113968528B (en) | On-demand maintenance monitoring method and system | |
CN206515675U (en) | A kind of LED display intellectual monitoring management system | |
CN109245300B (en) | Automatic checking method for 500kV intelligent substation pressure plate | |
CN114137302B (en) | Electric energy metering instrument verification whole process monitoring system | |
CN114485796A (en) | Online state monitoring self-diagnosis system of box-type substation | |
CN220457173U (en) | Data analysis system suitable for power grid monitoring maintenance | |
WO2024071608A1 (en) | Safety inspection solution for explosion proof diagnosis | |
KR101023533B1 (en) | Automatic train control real time remote restore system and its control method thereof | |
CN112486304A (en) | Real-time state monitoring and automatic defect processing system for secondary equipment of power transformation part | |
CN117221145A (en) | Equipment fault predictive maintenance system based on Internet of things platform | |
CN117215940A (en) | Intelligent operation and maintenance emergency processing system | |
CN110737256B (en) | Method and device for controlling variable-frequency transmission system | |
CN111509839A (en) | Trip event model analysis method based on alarm signal | |
CN114994565A (en) | Electrical cabinet water and electricity leakage prevention alarm system | |
CN111026097B (en) | Fault self-diagnosis and early warning method for inspection robot | |
CN113848761A (en) | Electric appliance safety early warning system and control method | |
CN113708489A (en) | Electric power secondary equipment warning method and system | |
CN112531653A (en) | Distribution network fault management method based on distribution automation | |
CN215219117U (en) | Abnormal alarm output monitoring device applied to medium-voltage harmonic elimination device | |
CN218567503U (en) | Diagnostic system of distribution network system fault type | |
CN216621260U (en) | Ship lock equipment fault diagnosis expert system | |
CN108933479A (en) | A kind of high-speed rail power supply unit on-line monitoring information comprehensive management system | |
CN210799574U (en) | Steam turbine set opening degree measuring system and servo valve self-detection system | |
CN211207468U (en) | Practical alarm system of electric power safety |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
GR01 | Patent grant | ||
GR01 | Patent grant |