CN112858836A - Active fault first-aid repair method based on power grid big data - Google Patents
Active fault first-aid repair method based on power grid big data Download PDFInfo
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- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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Abstract
The invention provides a fault active first-aid repair method and system based on power grid big data, which are characterized in that the level of power transmission and transformation equipment, and the health state index range and early warning index range corresponding to each level of power transmission and transformation equipment are set, the state information of the power transmission and transformation equipment is monitored and compared with the early warning index range, and if any one item of state information of the power transmission and transformation equipment is in the early warning index range or exceeds the early warning index range to reach the fault level, the power transmission and transformation equipment actively sends early warning information or fault warning information of the corresponding level to a specified maintenance management terminal. By the invention, before the power transmission and transformation equipment fails or after the power transmission and transformation equipment fails and before a user declares the failure, the power maintenance personnel can receive early warning or failure warning information sent by the system in advance and make early work of active maintenance, thereby not only avoiding the generation of partial power failure, but also improving the rush-repair speed of the power failure and further improving the satisfaction degree of customers.
Description
Technical Field
The invention belongs to the technical field of electric power equipment maintenance, and particularly relates to a fault active first-aid repair method and system based on power grid big data.
Background
At present, with the continuous expansion of power grids and power consumers, the quality and efficiency of service of power are more and more emphasized, and with the improvement of social and economic scales, the economic loss caused by the failure of power facilities in certain areas is more and more increased, so the requirements on the maintenance and emergency repair efficiency of power equipment are also increased greatly.
Most of the existing power failure emergency repair modes are that users actively dial 95598 telephones to perform failure repair and complaint, a company always receives repair work orders passively and then dispatches the work orders to the site to perform failure emergency repair, and the emergency repair is affected by other factors such as weather, traffic road conditions and the like, so that the emergency repair often cannot reach the repair site rapidly, the emergency repair time is prolonged, and the customer service satisfaction is low.
Under the big background of current deepening electric power system reform, optimizing operator environment, government, media, vast customer are increasing with each other to power supply service expectation, and power supply service faces new challenge, and the mode of waiting for the user to report for repair passively has not been able to satisfy the requirement of high reliability power supply under the new situation, consequently, explore and build distribution network initiative and salvage command system, promote trouble and salvage efficiency and power supply reliability, and is compelling. Various kinds of monitoring information of the existing power distribution network do not form a unified data acquisition and sharing application platform, and basic analysis data cannot be provided for distribution network active rush repair commands.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a fault active first-aid repair method and system based on power grid big data, so as to solve the technical problems.
In order to achieve the purpose, the invention provides a fault active first-aid repair method based on power grid big data, which comprises the following steps:
setting the grade of the power transmission and transformation equipment according to the service range of the power transmission and transformation equipment;
respectively appointing a maintenance management terminal for each level of power transmission and transformation equipment and setting the level of the maintenance management terminal;
setting a health state index range corresponding to each level of power transmission and transformation equipment;
acquiring state information of power transmission and transformation equipment, and judging whether the state information is in the health state index range;
and if not, generating a fault alarm of the power transmission and transformation equipment, and sending the fault alarm to a specified maintenance management terminal of the power transmission and transformation equipment.
Further, the method further comprises the following steps:
setting the early warning index range of each level of power transmission and transformation equipment;
if any one item of state information of the power transmission and transformation equipment is within the early warning index range, generating early warning information, and sending the early warning information to a maintenance management terminal appointed by the power transmission and transformation equipment;
if any one of the state information of the power transmission and transformation equipment is not monitored or any one of the state information of the power transmission and transformation equipment exceeds the early warning index range, generating fault warning information of the power transmission and transformation equipment and sending the fault warning information to a maintenance management terminal appointed by the power transmission and transformation equipment.
Further, the method further comprises the following steps:
the state information of the power transmission and transformation equipment comprises the voltage, the current, the power generation power, the load, the temperature, the humidity and the aging degree of a line of the power transmission and transformation equipment.
Further, the method further comprises the following steps:
and under the condition that the confirmation information sent back by the maintenance management terminal is not received within a certain time after the early warning information or the fault alarm information is sent to the appointed maintenance management terminal, the early warning information or the fault alarm information is sent to the maintenance management terminal higher than the level again.
Further, the method further comprises the following steps:
the early warning information and the fault warning information comprise various state information of the power transmission and transformation equipment monitored by the real-time state monitoring module, and also comprise ID information and GI geographical position information of the power transmission and transformation equipment.
The invention provides a fault active early warning system based on power grid big data, which comprises:
an information storage module: storing the grade information of the power transmission and transformation equipment, and the corresponding health state index range and early warning index range;
real-time status monitoring module: monitoring state information of the power transmission and transformation equipment, wherein the state information comprises voltage, current, power generation power, load, temperature, humidity and line aging degree of the power transmission and transformation equipment;
index comparison module: comparing each item of state information of the power transmission and transformation equipment monitored by the real-time state monitoring module with a health state index range and an early warning index range;
a communication module: the monitoring system is used for sending early warning information and fault warning information, if the real-time state monitoring module monitors that any one of the state information of the power transmission and transformation equipment is in an early warning index range, the communication module generates the early warning information and sends the early warning information to a maintenance management terminal appointed by the power transmission and transformation equipment, and if the real-time state monitoring module does not monitor any one of the state information of the power transmission and transformation equipment or any one of the state information of the power transmission and transformation equipment exceeds the early warning index range, the communication module generates the fault warning information and sends the fault warning information to the maintenance management terminal appointed by the power transmission and transformation equipment;
further, the system further comprises:
the information storage module periodically stores state information of the power transmission and transformation equipment according to a certain time interval, and stores corresponding early warning information or fault warning information under the condition of early warning or fault.
Further, the system further comprises:
the equipment for active fault early warning further comprises a positioning module, and a data network positioner, a GPS positioner or a Beidou positioner is adopted.
Further, the system further comprises:
the communication module comprises GSM, CDMA, GPRS, WCDMA and LET modules.
The beneficial effect of the invention is that,
the power transmission and transformation equipment can monitor the health state of the equipment in real time before the equipment breaks down, and once abnormal information appears, early warning information is immediately sent to a specified maintenance management terminal to prompt maintenance personnel to take maintenance measures in time, so that the power failure is avoided. Even if power failure occurs, the power transmission and transformation equipment can send failure alarm information to the maintenance management terminal in time, and emergency measures such as home maintenance and the like can be taken at the first time without waiting for a user to call for repair.
In addition, the invention has reliable design principle, simple structure and very wide application prospect.
Drawings
In order to more clearly illustrate the embodiments or technical solutions in the prior art of the present invention, the drawings used in the description of the embodiments or prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a system according to an embodiment of the present application.
The system comprises an information storage module 1, a real-time state detection module 2, an index comparison module 3, a communication module 4, a positioning module 5 and a maintenance management terminal 6.
FIG. 2 is a schematic flow diagram of a method of one embodiment of the invention.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, the technical solution in the embodiment of the present invention will be clearly and completely described below with reference to the drawings in the embodiment of the present invention, and it is obvious that the described embodiment is only a part of the embodiment of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
Example 1
Referring to fig. 1, the present embodiment provides a fault active early warning system based on grid big data, including:
the system comprises an information storage module 1, a real-time state detection module 2, an index comparison module 3, a communication module 4, a positioning module 5 and a maintenance management terminal 6.
The information storage module 1 stores the grade information of the power transmission and transformation equipment, and the corresponding health state index range and early warning index range; the real-time state monitoring module 2 monitors state information of the power transmission and transformation equipment, including voltage, current, power generation power, load, temperature, humidity and line aging degree of the power transmission and transformation equipment.
The index comparison module 3 compares the state information of the power transmission and transformation equipment monitored by the real-time state monitoring module 2 with the health state index; the communication module 4 comprises a GSM, CDMA, GPRS, WCDMA or LET module and is used for sending early warning information and fault warning information to the maintenance management terminal 6; the positioning module 5 is used for positioning the geographical position of the power transmission and transformation equipment and adopts a data network positioner, a GPS positioner or a Beidou positioner.
In addition, the information storage module 1 periodically stores the state information of the power transmission and transformation equipment according to a certain time interval, and stores corresponding early warning information or fault warning information under the condition of early warning or fault.
Example 2
The embodiment provides a fault active first-aid repair method based on power grid big data, which comprises the following steps:
as shown in fig. 2, the method includes:
the level of the power transmission and transformation equipment is set according to the size of a service range corresponding to the power transmission and transformation equipment in each link, and generally, the level can be set to be a user level, a building level, a district level, a street level, an area level, a city level and the like according to the size of the service range.
And setting a health state index range and an early warning index range corresponding to each level of power transmission and transformation equipment according to the requirements of the operation management system.
The real-time state monitoring module 2 monitors the state information of the power transmission and transformation equipment, including the voltage, the current, the power generation power, the load, the temperature, the humidity and the aging degree of the line of the power transmission and transformation equipment.
Comparing the state information of the power transmission and transformation equipment monitored by the real-time state monitoring module 2 with the health state indexes, and if any one of the detected state information of the power transmission and transformation equipment exceeds the health state index range corresponding to the information and is in the early warning index range, sending early warning information of a corresponding level to a specified maintenance management terminal 6 by the communication module 4 according to the level of the power transmission and transformation equipment; if the real-time state monitoring module 3 cannot monitor any one of the state information of the power transmission and transformation equipment, or any one of the state information of the power transmission and transformation equipment exceeds the health state index range corresponding to the information and the early warning index range, the power transmission and transformation equipment is considered to be in fault, and the communication module 4 sends fault warning information of a corresponding level to the specified maintenance management terminal 6 according to the level of the power transmission and transformation equipment.
Under general conditions, if the generated early warning information or fault warning information is at a user level, a building level or a cell level, the communication module 4 can send the early warning information or the fault warning information to a cell property management department, can also send the early warning information or the fault warning information to a power company maintenance station nearest to a cell, and can also send the early warning information or the fault warning information to the cell property management department and the nearest power company maintenance station at the same time; if the early warning information or the fault warning information is at street level or area level, the communication module can send the early warning information or the fault warning information to a maintenance station of an electric power company or a subordinate maintenance company in the jurisdiction range, and if the power transmission equipment belongs to the condition of higher level, the communication module can directly send the early warning information or the fault warning information to an emergency maintenance department of a city power supply office.
When the communication module 4 does not receive feedback information from the maintenance management terminal within a certain time after sending the early warning information or the failure warning information of the corresponding level to the designated maintenance management terminal 6, the communication module 4 resends the early warning information or the failure warning information to the maintenance management terminal 6 of a higher level than the level, so that the delay of the transmission of the early warning information or the failure warning information caused by human factors or hardware problems of the maintenance management terminal is prevented, a higher maintenance management department can be timely turned to send the early warning information or the failure warning information, and more inconvenience is avoided for users.
The early warning information and the fault warning information comprise various state information of the power transmission and transformation equipment monitored by the real-time state monitoring module, ID information of the power transmission and transformation equipment and GIS geographical position information, so that maintenance personnel can know fault reasons, equipment types and specific positions of the equipment in time, and maintenance personnel can arrive at a site more quickly to process the problems correspondingly.
Although the present invention has been described in detail by referring to the drawings in connection with the preferred embodiments, the present invention is not limited thereto. Various equivalent modifications or substitutions can be made on the embodiments of the present invention by those skilled in the art without departing from the spirit and scope of the present invention, and these modifications or substitutions are within the scope of the present invention/any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (9)
1. A fault active first-aid repair method based on power grid big data is characterized by comprising the following steps:
setting the grade of the power transmission and transformation equipment according to the service range of the power transmission and transformation equipment;
respectively appointing a maintenance management terminal for each level of power transmission and transformation equipment and setting the level of the maintenance management terminal;
setting a health state index range corresponding to each level of power transmission and transformation equipment;
acquiring state information of power transmission and transformation equipment, and judging whether the state information is in the health state index range;
and if not, generating a fault alarm of the power transmission and transformation equipment, and sending the fault alarm to a maintenance management terminal appointed by the power transmission and transformation equipment.
2. The active fault repair method based on the grid big data is characterized by further comprising the following steps of:
setting the early warning index range of each level of power transmission and transformation equipment;
if any one item of state information of the power transmission and transformation equipment is within the early warning index range, generating early warning information, and sending the early warning information to a maintenance management terminal appointed by the power transmission and transformation equipment;
and if any one of the state information of the power transmission and transformation equipment is not monitored or any one of the state information of the power transmission and transformation equipment exceeds the early warning index range, generating fault warning information and sending the fault warning information to a maintenance management terminal appointed by the power transmission and transformation equipment.
3. The active fault first-aid repair method based on the power grid big data is characterized in that the state information of the power transmission and transformation equipment comprises voltage, current, power generation power, load, temperature, humidity and line aging degree of the power transmission and transformation equipment.
4. The active fault repair method based on the grid big data according to claim 1, further comprising: and under the condition that the confirmation information sent back by the maintenance management terminal is not received within a certain time after the early warning information or the fault alarm information is sent to the appointed maintenance management terminal, the early warning information or the fault alarm information is sent to the maintenance management terminal higher than the level again.
5. The active fault first-aid repair method based on the power grid big data is characterized in that the early warning information and the fault warning information comprise various state information of power transmission and transformation equipment monitored by a real-time state monitoring module, and also comprise ID information of the power transmission and transformation equipment and GIS geographical position information.
6. The utility model provides a trouble initiative early warning system based on electric wire netting big data which characterized in that includes:
an information storage module: storing the grade information of the power transmission and transformation equipment, and the corresponding health state index range and early warning index range;
real-time status monitoring module: monitoring state information of the power transmission and transformation equipment, wherein the state information comprises voltage, current, power generation power, load, temperature, humidity and line aging degree of the power transmission and transformation equipment;
index comparison module: comparing the state information of the power transmission and transformation equipment monitored by the real-time state monitoring module with the health state index;
a communication module: the communication module is used for sending early warning information and fault warning information, if the real-time state monitoring module monitors that any one of the state information of the power transmission and transformation equipment is in an early warning index range, the communication module generates the early warning information and sends the early warning information to the maintenance management terminal appointed by the power transmission and transformation equipment, and if the real-time state monitoring module does not monitor any one of the state information of the power transmission and transformation equipment or any one of the state information of the power transmission and transformation equipment exceeds the early warning index range, the communication module generates the fault warning information and sends the fault warning information to the maintenance management terminal appointed by the power transmission and transformation equipment.
7. The active fault early warning system based on the power grid big data as claimed in claim 6, wherein the information storage module periodically stores the state information of the power transmission and transformation equipment according to a certain time interval, and stores corresponding early warning information or fault warning information under the condition of occurrence of early warning or fault.
8. The active power grid big data-based fault early warning system according to claim 6, wherein the active fault early warning device further comprises a positioning module, and the data network positioner, the GPS positioner or the Beidou positioner are adopted.
9. The active power grid big data-based fault early warning system according to claim 6, wherein the communication module comprises GSM, CDMA, GPRS, WCDMA, LET modules.
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