CN118017697B - Method and device for monitoring transmission line based on optical fiber sensing technology - Google Patents

Method and device for monitoring transmission line based on optical fiber sensing technology Download PDF

Info

Publication number
CN118017697B
CN118017697B CN202410417835.0A CN202410417835A CN118017697B CN 118017697 B CN118017697 B CN 118017697B CN 202410417835 A CN202410417835 A CN 202410417835A CN 118017697 B CN118017697 B CN 118017697B
Authority
CN
China
Prior art keywords
loss
transmission line
power transmission
value
time
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
CN202410417835.0A
Other languages
Chinese (zh)
Other versions
CN118017697A (en
Inventor
赵纪宗
何春光
谢潜
孙佳威
韩嘉欢
饶子麒
焦阳
周磊
曹松钱
沈牧宙
李斌坤
何晓伟
范慧英
李龙
杨刚
彭亮
何战勇
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.)
Ningbo Yongyao Power Investment Group Co ltd
Ningbo Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
Original Assignee
Ningbo Yongyao Power Investment Group Co ltd
Ningbo Power Supply Co of State Grid Zhejiang 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 Ningbo Yongyao Power Investment Group Co ltd, Ningbo Power Supply Co of State Grid Zhejiang Electric Power Co Ltd filed Critical Ningbo Yongyao Power Investment Group Co ltd
Priority to CN202410417835.0A priority Critical patent/CN118017697B/en
Publication of CN118017697A publication Critical patent/CN118017697A/en
Application granted granted Critical
Publication of CN118017697B publication Critical patent/CN118017697B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • 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
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING 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
    • G01D5/00Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable
    • G01D5/26Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable characterised by optical transfer means, i.e. using infrared, visible, or ultraviolet light
    • G01D5/32Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable characterised by optical transfer means, i.e. using infrared, visible, or ultraviolet light with attenuation or whole or partial obturation of beams of light
    • G01D5/34Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable characterised by optical transfer means, i.e. using infrared, visible, or ultraviolet light with attenuation or whole or partial obturation of beams of light the beams of light being detected by photocells
    • G01D5/353Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable characterised by optical transfer means, i.e. using infrared, visible, or ultraviolet light with attenuation or whole or partial obturation of beams of light the beams of light being detected by photocells influencing the transmission properties of an optical fibre
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/907Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/909Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using geographical or spatial information, e.g. location
    • 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
    • G06Q10/00Administration; Management
    • G06Q10/20Administration of product repair or maintenance
    • 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • 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
    • H02J13/00001Circuit 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 the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
    • 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
    • H02J13/00016Circuit 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 using a wired telecommunication network or a data transmission bus
    • H02J13/00017Circuit 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 using a wired telecommunication network or a data transmission bus using optical fiber

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Power Engineering (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • General Business, Economics & Management (AREA)
  • Health & Medical Sciences (AREA)
  • Marketing (AREA)
  • Tourism & Hospitality (AREA)
  • Strategic Management (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Water Supply & Treatment (AREA)
  • Public Health (AREA)
  • Library & Information Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Remote Sensing (AREA)
  • Human Computer Interaction (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention relates to the technical field of power grid monitoring, in particular to a method and a device for monitoring a power transmission line based on an optical fiber sensing technology, which solve the problems: how to combine with the actual maintenance situation to improve the accuracy of risk prediction of the power transmission line, in order to solve the above problems, the invention provides a monitoring method, which comprises the following steps: acquiring the current loss condition of the power transmission line, obtaining an initial loss value, acquiring environmental information in a first target time, and calculating a first loss change value in the first target time; predicting environmental information in a second target time, and predicting the service life of the power transmission line to obtain the residual service life; determining a theoretical loss threshold value of the power transmission line according to the working information; and calculating maintenance waiting time required for maintaining the power transmission line according to the position information, correcting the theoretical loss threshold according to the maintenance waiting time to obtain a corrected loss threshold, and judging whether the power transmission line has risks according to the corrected loss threshold.

Description

Method and device for monitoring transmission line based on optical fiber sensing technology
Technical Field
The invention relates to the technical field of power grid monitoring, in particular to a method and a device for monitoring a power transmission line based on an optical fiber sensing technology.
Background
The transmission line is an important component of the power system, and when equipment in the transmission line is damaged, the normal operation of the power system can be influenced, so that the transmission line equipment needs to be monitored, and the power system is ensured to normally provide power service.
At present, the erection range of the power transmission line is wider and wider, the environment around the power transmission line is more and more complex, faults are easier to occur, the maintenance work difficulty of the power transmission line is higher for the power transmission line in remote mountain areas, long-time power failure is likely to be caused once the faults occur, and a large amount of time is consumed when workers go to the place where the faults occur after accidents occur, so that in the process of monitoring the power transmission line, accurate fault prediction is needed for the power transmission line, the service life of the power transmission line is considered, and the time required for maintenance is also considered after the power transmission line has a problem, so that the time of power failure is reduced.
Disclosure of Invention
The invention solves the problems that: how to combine the actual maintenance situation, and to improve the accuracy of risk prediction of the transmission line.
In order to solve the above problems, an embodiment of the present invention provides a method for monitoring a power transmission line based on an optical fiber sensing technology, where the monitoring method includes: establishing a data management library, adding the power transmission line in the target area into the data management library, and recording the position information and the working information of the power transmission line; acquiring the current loss condition of the power transmission line, obtaining an initial loss value, acquiring environmental information in a first target time, obtaining a first environmental result, and calculating the loss condition in the first target time according to the first environmental result to obtain a first loss change value; calculating the loss efficiency of the power transmission line according to the first loss variation value and the first environmental result; predicting environmental information in a second target time to obtain a second environmental result, and predicting the service life of the power transmission line according to the loss rate and the second environmental result to obtain the residual service life of the power transmission line; judging whether the power transmission line is in a control state according to the working information and the residual life; if yes, determining a theoretical loss threshold value of the power transmission line according to the working information; calculating maintenance waiting time required for maintaining the power transmission line according to the position information, correcting the theoretical loss threshold according to the maintenance waiting time to obtain a corrected loss threshold, and judging whether the power transmission line has risks according to the corrected loss threshold; when the power transmission line has risks, the data management library sends maintenance reminding aiming at the power transmission line; when the power transmission line is free from risk, maintaining control of the power transmission line, and shortening the time length of the first target time corresponding to the power transmission line; if not, all the first loss change values of the power transmission line are obtained from the data management library, and the time length of the first target time is adjusted according to the fluctuation condition of the first loss change values.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: the data management library can uniformly manage and control the power transmission line in the target area, environmental information corresponding to the power transmission line can be better obtained through position information, the first environmental result is more accurate, the first loss change value and the initial loss value are calculated, the current loss condition of the power transmission line can be periodically known, the subsequent loss degree of the power transmission line is accurately predicted through predicting the environmental information of the second target time, the power transmission line is managed and controlled according to the loss condition in the second target time, the theoretical loss threshold value of the power transmission line is determined according to working information in the management and control process, the maintenance waiting time of the power transmission line is determined according to the position information, the theoretical loss threshold value is combined with the maintenance waiting time, the risk judgment of the power transmission line is more accurate, after the risk occurs, workers can be ensured to arrive at the site for maintenance before the power transmission line breaks down, the problem of long-time power failure after the power transmission line breaks down is avoided, the time length of the first target time is adjusted according to the loss condition and loss trend of the power transmission line, the frequency of detection is timely adjusted, the detected frequency is increased in the management and control state, and the fault frequency of the power transmission line can be more accurately detected, and the fault state can not be detected when the power transmission line can be more accurately detected.
In one embodiment of the present invention, a current loss condition of a power transmission line is obtained to obtain an initial loss value, environmental information in a first target time is obtained to obtain a first environmental result, and the loss condition in the first target time is calculated according to the first environmental result to obtain a first loss variation value, which specifically includes: dividing the first environmental result according to different weather information to obtain a plurality of loss time periods; acquiring the loss duration of each loss time period and a basic loss value corresponding to the loss time period; judging whether extreme weather exists in the loss time period; if so, correcting the loss time length according to the occurrence times of extreme weather to obtain a corrected time length, and calculating a sub-change value in the loss time period according to the corrected time length and the basic loss value; if not, calculating a sub-change value in the loss time period according to the basic loss value and the loss time length; and adding the plurality of sub-variation values to obtain a first loss variation value in the first target time.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: dividing the first environmental result according to weather information to obtain duration of different weather in a first target time, calculating loss conditions of the power transmission line according to basic loss values of different weather, and converting loss duration related to the extreme weather when the extreme weather occurs by carrying out independent analysis on the extreme weather, so that sub-change values in the loss time period are more in accordance with actual working environments of the power transmission line, and the loss conditions of the power transmission line are more accurate.
In one embodiment of the present invention, if yes, correcting the loss duration according to the occurrence times of extreme weather to obtain a corrected duration, and calculating a sub-variation value in the loss time period according to the corrected duration and the basic loss value, including: acquiring the types of extreme weather and the occurrence times of various types of extreme weather; judging whether the extreme weather is in a preset range or not; if yes, acquiring preset times of extreme weather, and correcting the loss time length according to the occurrence times and the preset times; if not, correcting the loss time length according to the occurrence times.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: according to the position information of the power transmission line, the extreme weather possibly encountered by the power transmission line is comprehensively considered when the basic loss value is set, so that the set basic loss value is more accurate, and the loss duration calculation is more convenient.
In one embodiment of the present invention, predicting environmental information in a second target time to obtain a second environmental result, and predicting a life of a power transmission line according to a loss rate and the second environmental result to obtain a remaining life of the power transmission line, including: calculating a residual loss value of the power transmission line according to the initial loss value; calculating a second loss change value corresponding to the power transmission line in a second target time according to a second environmental result and the loss rate; calculating the difference value between the residual loss value and the second loss variation value to obtain a loss allowance; and calculating the shortest running time of the power transmission line according to the second environmental result and the loss allowance, and obtaining the residual life.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: the loss condition of the power transmission line in the second target time is obtained through the second loss change value, the residual life of the power transmission line is combined with the residual loss value, the loss rate is obtained, the second loss change value is more accurate, the working environment in the second target time is also more met, and the accuracy of the predicted residual life is further improved.
In one embodiment of the present invention, calculating the shortest operation time of the power transmission line according to the second environmental result and the loss margin to obtain the remaining life specifically includes: dividing the second target time into a plurality of rate time periods, wherein the time length of each rate time period is the same and is the target time length; calculating the loss condition in each rate time period to obtain a plurality of third loss change values, and screening the third loss change values to obtain the maximum loss value; and calculating the maximum loss rate of the power transmission line according to the maximum loss value and the target duration, and calculating the residual life of the power transmission line according to the maximum loss rate and the loss allowance.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: through the division of a plurality of rate time periods, the loss condition in the second target time is divided, the loss efficiency in the unit time can be obtained through the setting of the same target time, the maximum loss value in the second target time is accurately obtained through screening the loss efficiency in the unit time, the residual life is calculated through the maximum loss value, the influence of weather fluctuation on the residual life in the future is reduced, and the fact that the power transmission line cannot malfunction in the time of the residual life is further ensured.
In one embodiment of the present invention, if yes, determining a theoretical loss threshold of the power transmission line according to the working information, which specifically includes: acquiring the work load quantity of the power transmission line, obtaining a target load result, and determining the work grade of the power transmission line according to the target load result; marking the line associated with the power transmission line as an associated line of the power transmission line, acquiring the work load quantity of all the associated lines, obtaining an associated load result, and determining the associated grade of the power transmission line according to the associated load result; acquiring a coverage area of the associated line in the target area to obtain a coverage grade of the power transmission line; and calculating a theoretical loss threshold according to the working grade, the association grade and the coverage grade.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: by determining the working grade and the association grade, when the theoretical loss threshold of the power transmission line is obtained, the working environment of the power transmission line is fully considered, the influence caused when the power transmission line fails is analyzed from the electric quantity angle, the reasonable maintenance advance is set according to the size of the influence caused, the coverage grade is set, the importance degree of the power transmission line is analyzed from the angle of the influence area, the working environment and the influence area are obtained, the actual result generated after the power transmission line fails is fully considered, and the theoretical loss threshold of the power transmission line is determined according to the result.
In one embodiment of the present invention, a maintenance waiting time period required for maintaining a power transmission line is calculated according to position information, a theoretical loss threshold value is corrected according to the maintenance waiting time period, a corrected loss threshold value is obtained, and whether the power transmission line has risk is judged according to the corrected loss threshold value, which specifically includes: calculating a waiting loss value of the power transmission line according to the maintenance waiting time length and the maximum loss rate; determining a waiting coefficient of the waiting loss value according to the maintenance waiting time length, and converting the waiting loss value according to the waiting coefficient to obtain a converted loss value; and correcting the theoretical loss threshold according to the converted loss value to obtain a corrected loss threshold.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: the correction loss threshold value corresponding to the power transmission line is obtained by setting different waiting coefficients for different maintenance waiting time periods, so that the power transmission line can not reach the theoretical loss threshold value in the maintenance waiting time period, and emergency situations occurring in the maintenance waiting time period can be dealt with.
In one embodiment of the present invention, if not, all first loss variation values of the power transmission line are obtained from the data management database, and the time length of the first target time is adjusted according to the fluctuation condition of the first loss variation values, which specifically includes: acquiring a fluctuation range of a first loss change value corresponding to the power transmission line; when the number of the first loss variation values is larger than the target number, judging whether the first loss variation values are all in a fluctuation range; if yes, the time length of the first target time is prolonged; if not, maintaining the time length of the first target time; when the number of the first loss variation values is equal to or smaller than the target number, the time length of the first target time is maintained.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: the fluctuation range of the first loss change value can obtain the change condition of the working environment of the power transmission line, the power transmission line with stable working environment is subjected to statistics of the loss value of the power transmission line is reduced, the original monitoring intensity is kept for the power transmission line with unstable working environment, and the possible problems of the power transmission line are found timely.
In one embodiment of the present invention, there is also provided a monitoring device for a power transmission line based on an optical fiber sensing technology, the monitoring device including: the data management base is arranged in the storage module; the acquisition module is used for acquiring a first environment result; the prediction module is used for predicting a second environment result; the calculation module is used for calculating the loss efficiency, the monitoring method is applied to the monitoring device, and the monitoring device has all technical characteristics of the monitoring method and is not described in detail herein.
Drawings
For a clearer description of the technical solutions of the embodiments of the present invention, the drawings to be used in the description of the embodiments will be briefly introduced, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art;
FIG. 1 is one of the flow charts of the method for monitoring a transmission line of the present invention;
FIG. 2 is a second flowchart of a method for monitoring a power transmission line according to the present invention;
FIG. 3 is a third flowchart of a method for monitoring a power transmission line according to the present invention;
FIG. 4 is a flow chart of a method for monitoring a power transmission line according to the present invention;
FIG. 5 is a flow chart of a method of monitoring a transmission line according to the present invention;
Fig. 6 is a system diagram of a monitoring device for a power transmission line according to the present invention.
Reference numerals illustrate:
100-monitoring devices; 110-a memory module; 120-an acquisition module; 130-a prediction module; 140-calculation module.
Detailed Description
In order that the above objects, features and advantages of the invention will be readily understood, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings.
[ First embodiment ]
Referring to fig. 1 and fig. 2, in a specific embodiment, the present invention provides a method for monitoring a power transmission line based on an optical fiber sensing technology, where the monitoring method includes:
s100, establishing a data management library, adding the power transmission line in the target area into the data management library, and recording the position information and the working information of the power transmission line;
S200, acquiring the current loss condition of the power transmission line, obtaining an initial loss value, acquiring environmental information in a first target time, obtaining a first environmental result, and calculating the loss condition in the first target time according to the first environmental result to obtain a first loss change value;
s300, calculating the loss rate of the power transmission line according to the first loss change value and the first environment result;
S400, predicting environmental information in a second target time to obtain a second environmental result, and predicting the service life of the power transmission line according to the loss rate and the second environmental result to obtain the residual service life of the power transmission line;
S500, judging whether the power transmission line is in a control state according to the working information and the residual life;
S600, if yes, determining a theoretical loss threshold value of the power transmission line according to the working information;
S610, calculating maintenance waiting time required for maintaining the power transmission line according to the position information, correcting a theoretical loss threshold according to the maintenance waiting time to obtain a corrected loss threshold, and judging whether the power transmission line has risks according to the corrected loss threshold;
s611, when the power transmission line has risks, the data management base sends maintenance reminding aiming at the power transmission line;
s612, when the power transmission line is free from risk, maintaining control of the power transmission line, and shortening the time length of the first target time corresponding to the power transmission line;
and S620, if not, acquiring all the first loss change values of the power transmission line from the data management database, and adjusting the time length of the first target time according to the fluctuation condition of the first loss change values.
In step S100, the power transmission line is usually transmitted based on the optical fiber sensing technology, the size of the target area may be divided according to the density of the power transmission line, in general, the target area is an administrative planning area, and for remote mountain areas with low density of the power transmission line, multiple villages or towns may be divided into one target area, where the position information of the power transmission line is the geographical position where the power transmission line is located, and the working information includes, but is not limited to, the working life of the power transmission line and the load during working.
In step S200, the initial loss value of the transmission line is detected by the damage degree detecting instrument, and the transmission line is running before the data management library is established, each transmission line needs to detect the initial loss value when joining the data management library, and the initial loss value defaults to 0 for the new transmission line to be joined subsequently.
The duration of the first target time is usually one month, and is calculated from the back to the front, for example, the current date is 9 months and 20 days, and the duration of the first target time is one month, so that the first environmental result corresponds to the environmental information between 8 months and 20 days and 9 months and 19 days, and the loss condition in the first target time, that is, the first loss change value, can be obtained through the first environmental result.
It should be noted that, after the loss change value in each stage is calculated, the initial loss value is updated timely, and when the first loss change value between 8 months 20 days and 9 months 19 days is calculated, the initial loss value corresponding to the power transmission line is the value recorded in the data management database on 8 months 19 days.
In step S400, the specific time corresponding to the second target time is predicted in the future, the second environmental result is predicted in a weather forecast or other form, the duration of the second target time may be adjusted according to the specific situation, and may be one week, two weeks, one month or even one quarter, after the loss rate is obtained, the loss value in the second target time is calculated according to the loss rate, and the remaining life of the power transmission line is obtained.
In step S500, when judging the control state, the importance of the transmission line in operation is considered first, and for a transmission line with a larger load or a transmission line having a plurality of transmission lines connected thereto, the control condition of the transmission line is strict, and for a transmission line with a smaller load, only general control is required.
For example, for a transmission line requiring strict management, management is started when the remaining life is less than 50% of its theoretical life, and for a transmission line in general management, management is started when the remaining life is less than 30% of its theoretical life.
In step S600, when the power transmission lines are controlled, different power transmission lines need to calculate the theoretical loss threshold corresponding to the power transmission lines according to different working information, and when the loss degree of the power transmission lines reaches the theoretical loss threshold, the power transmission lines can still work normally, but the probability of failure is greatly increased, and the power transmission lines need to be maintained or replaced in time.
In step S610, for a part of the power transmission lines, the installation positions are far away, and the time required for the staff to arrive at the site is too long, so for this part of the cables, the maintenance waiting time is considered, and the maintenance waiting time is combined with the theoretical loss threshold value, so as to obtain the corrected loss threshold value.
It should be noted that, the maintenance waiting time is not only the time required for the staff to arrive at the present place after the cable fails, but also the time required for preventing maintenance is considered, the time consumed for the place which can be reached in a short time is less, and the maintenance waiting time is compatible with the original daily work plan, but the original work plan is easily disturbed for the place which can be reached for a long time, so that when the power transmission line has not failed, the maintenance prompt is sent out in advance for a certain time, and the staff can reasonably adjust the work plan in a period of time.
In steps S611 to S612, after the power transmission line enters the control state, the duration of the first target time is gradually shortened along with the time, and when the power transmission line in the control state is in bad weather for a long time, the theoretical loss threshold value is easily and directly reached, and the possibility of faults per se is also improved along with the overlong service time of the power transmission line, at this time, the duration of the first target time is shortened, the monitoring force on the power transmission line is increased, and the faults possibly existing in the power transmission line are timely found.
In step S620, when the power transmission line does not need to be managed and controlled, the loss condition of the power transmission line is counted, if the loss condition of the power transmission line is relatively stable, the duration of the first target time can be gradually increased before the power transmission line does not enter the management and control state, and if the loss condition of the power transmission line fluctuates greatly, the duration of the original first target time is maintained.
The data management library can uniformly manage and control the power transmission line in the target area, environmental information corresponding to the power transmission line can be better obtained through position information, the first environmental result is more accurate, the first loss change value and the initial loss value are calculated, the current loss condition of the power transmission line can be periodically known, the subsequent loss degree of the power transmission line is accurately predicted through predicting the environmental information of the second target time, the power transmission line is managed and controlled according to the loss condition in the second target time, the theoretical loss threshold value of the power transmission line is determined according to working information in the management and control process, the maintenance waiting time of the power transmission line is determined according to the position information, the theoretical loss threshold value is combined with the maintenance waiting time, the risk judgment of the power transmission line is more accurate, after the risk occurs, workers can be ensured to arrive at the site for maintenance before the power transmission line breaks down, the problem of long-time power failure after the power transmission line breaks down is avoided, the time length of the first target time is adjusted according to the loss condition and loss trend of the power transmission line, the frequency of detection is timely adjusted, the detected frequency is increased in the management and control state, and the fault frequency of the power transmission line can be more accurately detected, and the fault state can not be detected when the power transmission line can be more accurately detected.
[ Second embodiment ]
Referring to fig. 3, in a specific embodiment, a current loss condition of a power transmission line is obtained, an initial loss value is obtained, environmental information in a first target time is obtained, a first environmental result is obtained, the loss condition in the first target time is calculated according to the first environmental result, and a first loss change value is obtained, which specifically includes:
S210, dividing a first environment result according to different weather information to obtain a plurality of loss time periods, and acquiring the loss duration of each loss time period and a basic loss value corresponding to the loss time period;
s220, judging whether extreme weather exists in the loss time period;
s221, if so, correcting the loss time length according to the occurrence times of extreme weather to obtain a corrected time length, and calculating a sub-change value in the loss time period according to the corrected time length and the basic loss value; if not, calculating a sub-change value in the loss time period according to the basic loss value and the loss time length;
S230, adding the plurality of sub-change values to obtain a first loss change value in the first target time.
In step S210, the first environmental result is divided according to weather types, so as to obtain time of existence of various weathers in a first target time, where each weather existence time is recorded as a loss time period, for example, the first target time is 30 days, and five weathers including sunny, rainy, wind, cloudy and snowy days are shared in the 30 days, at this time, the first target time has five loss time periods, if the sunny time period is 5 days, the loss time period corresponding to the sunny loss time period is 5 days, the basic loss value is directly stored in the data management library, the basic loss value is obtained by integrating according to the material of the power transmission line, the installation position of the power transmission line and the working strength of the power transmission line, and the basic loss value is obtained by the following calculation method.
Taking a sunny day as an example, if the power transmission line can work for 2000 days in a sunny day state, the base loss value of the power transmission line in the sunny day is 0.05%.
In step S220 and step S221, in calculating the base loss value, extreme weather including, but not limited to typhoons, heavy rain, and snow storm is required to be calculated alone.
When extreme weather occurs in the first target time, the loss duration of the loss time period corresponding to the extreme weather needs to be corrected, the loss of the power transmission line is improved under the extreme weather, and in general, the loss duration of the extreme weather needs to be multiplied by a loss coefficient when converted into the loss duration.
For example, the duration of a rainy day in the first target time is 7 days, wherein there is a rainy day of 2 days, the basic loss value of the transmission line in the rainy day is 0.06%, if no correction is made, the sub-change value in this loss period in the rainy day is 0.42%, but the duration of the rainy day needs to be calculated together with the loss coefficient, the loss coefficient is usually 2, and after conversion, the loss period in the rainy day in the first target time becomes 9 days, and thus the sub-change value in this loss period is 0.54%.
In typhoon weather, a case where a storm and a strong wind occur at the same time frequently occurs, and in this case, it is necessary to calculate the base loss value in the wind and the base loss value in the rain separately, and if the loss coefficient is 2, the base loss value in the rain is 0.06%, the base loss value in the wind is 0.07%, and in this case, the sub-change value per day is 0.06% ×2+0.07% ×2=0.26%.
In step S230, after the calculation of the sub-variation values of all the loss time periods is completed, all the sub-variation values are added to obtain a first loss variation value in the first target time.
Dividing the first environmental result according to weather information to obtain duration of different weather in a first target time, calculating loss conditions of the power transmission line according to basic loss values of different weather, and converting loss duration related to the extreme weather when the extreme weather occurs by carrying out independent analysis on the extreme weather, so that sub-change values in the loss time period are more in accordance with actual working environments of the power transmission line, and the loss conditions of the power transmission line are more accurate.
[ Third embodiment ]
In a specific embodiment, if yes, correcting the loss duration according to the occurrence times of extreme weather to obtain a corrected duration, and calculating a sub-variation value in the loss time period according to the corrected duration and the basic loss value, wherein the method specifically comprises the following steps:
S221a, acquiring types of extreme weather and occurrence times of various types of extreme weather;
s221b, judging whether the extreme weather is in a preset range or not;
s221c, if yes, acquiring preset times of extreme weather, and correcting the loss time length according to the occurrence times and the preset times; if not, correcting the loss time length according to the occurrence times.
In steps S221a to S221c, it is foreseen that a specific extreme weather is generated for a part of the area, and thus this part of the extreme weather has been calculated when setting the base loss value, for example, in coastal areas, each year is affected by typhoons, and thus the influence of typhoons has been comprehensively considered when setting the base loss value of a wind day for the power transmission line of this area, and also the preset number of times of occurrence of typhoons weather is set, within which no loss duration correction is required.
It should be noted that, the occurrence times are continuously accumulated, when the number of times of extreme weather exceeds the preset number of times, the time length of loss still needs to be corrected, for example, the transmission line sets 20 times of preset times for the extreme weather, and at this time, typhoon weather occurs in the first target time, if the occurrence times are less than or equal to 20 times, the time length of loss of the typhoon weather does not need to be converted, and if the occurrence times are greater than 20 times, the time length of loss of the typhoon weather still needs to be converted.
For extreme weather for which the preset times are not set, the loss duration is corrected according to the loss coefficient as long as the extreme weather occurs.
According to the position information of the power transmission line, the extreme weather possibly encountered by the power transmission line is comprehensively considered when the basic loss value is set, so that the set basic loss value is more accurate, and the loss duration calculation is more convenient.
[ Fourth embodiment ]
Referring to fig. 4, in a specific embodiment, predicting environmental information in a second target time to obtain a second environmental result, and predicting a life of the power transmission line according to the loss rate and the second environmental result to obtain a remaining life of the power transmission line specifically includes:
s410, calculating a residual loss value of the power transmission line according to the initial loss value;
S420, calculating a second loss change value corresponding to the power transmission line in a second target time according to a second environment result and the loss rate;
s430, calculating a difference value between the residual loss value and the second loss change value to obtain a loss allowance;
S440, calculating the shortest running time of the power transmission line according to the second environmental result and the loss margin, and obtaining the residual life.
In step S410, the damage degree is expressed in percentage, and the value of each transmission line that can be lost is 100%, for example, when the initial loss value of the transmission line is 20%, the remaining loss value of the transmission line is 80%.
In step S420, considering that the occurrence of extreme weather is difficult to predict, the loss rate corresponding to the first loss change value is used as a reference, when no extreme weather occurs in the first target time, the loss rate corresponding to the second environmental result is the same as the base loss value, when extreme weather occurs in the first target time, the sub-change value corresponding to the extreme weather increases, and when the loss rate is calculated, calculation by the converted loss duration is not required.
Taking the data in steps S220 to S222 as an example, the sub-variation value in this loss period is 0.54% in rainy days after the rainy days, but in the case of rainy days when the loss rate is calculated, the loss rate per day is 0.54% +.7= 0.0771%. Compared with the basic loss value of 0.06%, the loss rate is improved.
The second loss change value in the second target time is predicted by the loss rate in the first target time, for example, the duration of the second target time is 20 days, the duration of the rainy day is 7 days, the duration of the sunny day is 5 days, the duration of the cloudy day is 8 days, the loss rate in the rainy day is 0.0771%, the loss rates in the windy day and the cloudy day are both 0.06%, and the second loss change value is Δs, Δs= 0.0771% ×7+0.06% ×5+0.06% ×8= 1.3197%, which is obtained by the second environmental result.
In step S430, if the residual loss value is 40%, Δs=1.32%, and the residual loss is S 1,S1 =40% -1.32% =38.68%.
It should be noted that, when predicting the second environmental result, the extreme weather is not predicted, only the conventional weather type is counted, and the loss rate is modified.
The loss condition of the power transmission line in the second target time is obtained through the second loss change value, the residual life of the power transmission line is combined with the residual loss value, the loss rate is obtained, the second loss change value is more accurate, the working environment in the second target time is also more met, and the accuracy of the predicted residual life is further improved.
[ Fifth embodiment ]
In a specific embodiment, calculating the shortest running time of the power transmission line according to the second environmental result and the loss margin to obtain the residual life specifically includes:
S441, dividing the second target time into a plurality of rate time periods, wherein the time length of each rate time period is the same and is the target time length;
S442, calculating the loss condition in each rate time period to obtain a plurality of third loss change values, and screening the third loss change values to obtain the maximum loss value;
s443, calculating the maximum loss rate of the power transmission line according to the maximum loss value and the target duration, and calculating the residual life of the power transmission line according to the maximum loss rate and the loss margin.
In step S441, when dividing the rate periods, division is performed sequentially in units of days, with the time length of each rate period ensured to be the same, division is performed sequentially from the first day to the last day of the second target time.
For example, the second target time is 30 days and the target time period is 7 days, then when dividing the rate time period, the first to seventh days are taken as the first rate time period, then the second to eighth days are taken as the second rate time period, and so on, until the last rate time period of the twenty-third to thirty-th days.
In step S442, weather conditions in each rate period are obtained, third loss variation values in each rate period are calculated according to the loss rate, each rate period has a third loss variation value, and the third loss variation values are filtered to obtain a maximum loss value.
For example, three weather types including a sunny day and a cloudy day exist in the second target time, the loss rate in the rainy day is 0.06%, the loss rate in the sunny day is 0.05%, the loss rate in the cloudy day is 0.055%, the third loss change value corresponding to the time period of the first to seventh days is 0.405%, the third loss change value corresponding to the second to eighth days is 0.4%, and all the third loss change values are obtained according to the above calculation method, and the maximum value is selected.
In step S443, the target time period is 7 days, the maximum loss value is 0.42%, the corresponding maximum loss rate is 0.06%, and if the loss margin of the transmission line is 30%, the remaining life is T, t=30% ≡0.06% =500 days after the second target time period elapses.
Through the division of a plurality of rate time periods, the loss condition in the second target time is divided, the loss efficiency in the unit time can be obtained through the setting of the same target time, the maximum loss value in the second target time is accurately obtained through screening the loss efficiency in the unit time, the residual life is calculated through the maximum loss value, the influence of weather fluctuation on the residual life in the future is reduced, and the fact that the power transmission line cannot malfunction in the time of the residual life is further ensured.
[ Sixth embodiment ]
Referring to fig. 5, in a specific embodiment, if yes, determining a theoretical loss threshold of the power transmission line according to the working information specifically includes:
S601, acquiring the work load quantity of a power transmission line, obtaining a target load result, and determining the work grade of the power transmission line according to the target load result;
s602, marking a line associated with the power transmission line as an associated line of the power transmission line, acquiring the work load quantity of all the associated lines, obtaining an associated load result, and determining the associated grade of the power transmission line according to the associated load result;
s603, acquiring a coverage area of the associated line in the target area, and obtaining a coverage grade of the power transmission line;
S604, calculating a theoretical loss threshold according to the working grade, the association grade and the coverage grade.
In step S601, the working load is the amount of electric charge that the electric transmission line passes when working, taking a residential area as an example, power consumption of thousands of households is often supplied to the electric transmission line on the main line, and once the main line fails, there is a dilemma that thousands of households are involved in power failure, so when determining the theoretical loss threshold value of the electric transmission line, it is necessary to determine the working grade of the electric transmission line first, and it is understood that the higher the target load result of the electric transmission line, the higher the working grade of the electric transmission line.
In step S602, the associated line refers to a line connected to the power transmission line, and a line that cannot continue to transmit power even after the power transmission line fails, where the sum of the workload amounts of all the associated lines is the associated load result, and the higher the associated load result, the higher the associated level corresponding to the power transmission line.
In step S603, the coverage area refers to the area covered by all the associated lines of the power transmission line, for example, the power consumption of all the users in a certain cell is provided by one power transmission line, and the power transmission line only supplies power to the cell, so that the coverage area of the power transmission line is the occupied area of the whole cell.
In step S604, the working grades are classified according to the position information of the power transmission lines, and the target load results of the classification of the power transmission lines in different areas are different, and the same association grade and coverage grade of the power transmission lines are respectively related to the position information of the power transmission lines.
For example, a theoretical loss threshold value of a certain power transmission line is 95%, there is a power transmission line similar to the position information of the power transmission line, the working grade and the coverage grade are the same, but the association grade is higher, and the theoretical loss threshold value of the power transmission line is 93% after conversion according to the position information.
By determining the working grade and the association grade, when the theoretical loss threshold of the power transmission line is obtained, the working environment of the power transmission line is fully considered, the influence caused when the power transmission line fails is analyzed from the electric quantity angle, the reasonable maintenance advance is set according to the size of the influence caused, the coverage grade is set, the importance degree of the power transmission line is analyzed from the angle of the influence area, the working environment and the influence area are obtained, the actual result generated after the power transmission line fails is fully considered, and the theoretical loss threshold of the power transmission line is determined according to the result.
[ Seventh embodiment ]
In a specific embodiment, a maintenance waiting time period required for maintaining the power transmission line is calculated according to the position information, a theoretical loss threshold value is corrected according to the maintenance waiting time period to obtain a corrected loss threshold value, and whether the power transmission line has risk is judged according to the corrected loss threshold value, which specifically comprises:
s610a, calculating a waiting loss value of the power transmission line according to the maintenance waiting time length and the maximum loss rate;
s610b, determining a waiting coefficient of the waiting loss value according to the maintenance waiting time length, and converting the waiting loss value according to the waiting coefficient to obtain a converted loss value;
and S610c, correcting the theoretical loss threshold according to the converted loss value to obtain a corrected loss threshold.
In steps S610a to S610c, the maintenance waiting time is set according to the position information of the power transmission line, for the central position of the urban area, the maintenance of the power transmission line is relatively rapid, the maintenance waiting time can not be considered at this time, when the power transmission line reaches the theoretical loss threshold value, the maintenance reminding is sent out again, before the power transmission line is damaged, a worker can definitely maintain the power transmission line, the maintenance reminding is sent out in advance for the power transmission line which can reach the site for maintenance only by adjusting the work plan, the worker can have more time for work distribution, the time is defined as the maintenance waiting time, the maintenance of the power transmission line is not started after the maintenance waiting time is ended, and only in the maintenance waiting time, the worker can definitely reach the site for maintenance, so that the normal operation of the maintenance of other power transmission lines is ensured, and the power transmission line in the remote area can be maintained in time.
For example, after a power transmission line in a remote area sends a maintenance reminder, a maintenance person will go to the area to perform maintenance within five days, and it should be noted that sending the maintenance reminder does not represent that the power transmission line has failed, but the residual life obtained through prediction is insufficient, but the current use is not affected, at this time, the maintenance waiting time is 5 days, if the theoretical loss threshold value corresponding to the power transmission line is 96%, the maximum loss rate is 0.06%, and within the maintenance waiting time, the power transmission line still loses 0.3% at most, that is, the waiting loss value is 0.3%, the waiting coefficient is determined according to the length of the maintenance waiting time, the maintenance waiting time is recorded as H, the conversion coefficient is K, and the conversion coefficient and the maintenance waiting time satisfy the following relations:
when H is less than or equal to 3, k=1;
when 3 < H.ltoreq.4, K=1.1;
when H > 4, k=1.2.
Taking the above data as an example, the maintenance waiting time is 5 days, the corresponding conversion coefficient K is 1.2, the conversion loss value is L, l=1.2×0.3% =0.36%, and the corresponding correction loss threshold value of the power transmission line is 95.64%.
The correction loss threshold value corresponding to the power transmission line is obtained by setting different waiting coefficients for different maintenance waiting time periods, so that the power transmission line can not reach the theoretical loss threshold value in the maintenance waiting time period, and emergency situations occurring in the maintenance waiting time period can be dealt with.
[ Eighth embodiment ]
In a specific embodiment, if not, all the first loss variation values of the power transmission line are obtained from the data management database, and the time length of the first target time is adjusted according to the fluctuation condition of the first loss variation values, which specifically includes:
s621, acquiring a fluctuation range of a first loss change value corresponding to the power transmission line;
S622, judging whether the first loss variation values are all in a fluctuation range or not when the number of the first loss variation values is larger than the target number;
s623, if yes, prolonging the time length of the first target time; if not, maintaining the time length of the first target time;
s624, when the number of the first loss variation values is less than or equal to the target number, maintaining the time length of the first target time.
In step S621, the fluctuation range of the first loss variation value is related to the position information of the transmission lines, but the fluctuation range corresponding to each transmission line is stored in the data management library.
In steps S622 to S624, each first loss variation value of the power transmission line is stored in the data management library, and when the number of first loss variation values reaches the target number, the first target time is modified according to the fluctuation of the first loss variation values.
For example, the duration of the first target time is one month, and the transmission line is newly installed in 5 months of the year, then the initial loss value of the transmission line is 0 in five months, the first loss change value of the transmission line in five months is obtained in 6 months, the first loss change value of the transmission line in 6 months is obtained in 7 months, and so on.
The target number is related to the time length of the first target time, and when each first loss change value is within the fluctuation range, the time length of the first target time can be prolonged, usually in 6 months.
For example, if the duration of the first target time is one month, the time length is only modified and judged when 6 corresponding first loss change values are within the fluctuation range, and assuming that the fluctuation range of the power transmission line is (0.24%, 0.27%), the last 6 first loss change values are 0.245%, 0.255%, 0.265%, 0.26% and 0.25%, respectively, where the power transmission line meets the modification condition, the duration of the first target time may be prolonged, and the typical prolonged time is 1 month.
The fluctuation range of the first loss change value can obtain the change condition of the working environment of the power transmission line, the power transmission line with stable working environment is subjected to statistics of the loss value of the power transmission line is reduced, the original monitoring intensity is kept for the power transmission line with unstable working environment, and the possible problems of the power transmission line are found timely.
[ Ninth embodiment ]
Referring to fig. 6, in a specific embodiment, the present invention further provides a monitoring device 100 for a power transmission line based on an optical fiber sensing technology, where the monitoring device 100 includes: the storage module 110, the data management base is set in the storage module 110; the acquisition module 120, the acquisition module 120 is configured to acquire a first environmental result; a prediction module 130, where the prediction module 130 is configured to predict a second environmental result; the calculation module 140, the calculation module 140 is configured to calculate the loss efficiency, and the above-described monitoring method is applied to the monitoring device 100, and the monitoring device 100 has all the technical features of the above-described monitoring method, which is not described herein.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be made by one skilled in the art without departing from the spirit and scope of the invention, and the scope of the invention should be assessed accordingly to that of the appended claims.

Claims (7)

1. The monitoring method of the power transmission line based on the optical fiber sensing technology is characterized by comprising the following steps of:
a data management base is established, a power transmission line in a target area is added into the data management base, and position information and working information of the power transmission line are recorded;
Acquiring the current loss condition of the power transmission line, obtaining an initial loss value, acquiring environmental information in a first target time, obtaining a first environmental result, and calculating the loss condition in the first target time according to the first environmental result to obtain a first loss change value;
Calculating the loss rate of the power transmission line according to the first loss variation value and the first environment result;
Predicting environmental information in a second target time to obtain a second environmental result, and predicting the service life of the power transmission line according to the loss rate and the second environmental result to obtain the residual service life of the power transmission line;
judging whether the power transmission line is in a control state or not according to the working information and the residual life;
if yes, determining a theoretical loss threshold value of the power transmission line according to the working information;
Calculating maintenance waiting time required for maintaining the power transmission line according to the position information, correcting the theoretical loss threshold according to the maintenance waiting time to obtain a corrected loss threshold, and judging whether the power transmission line has risk according to the corrected loss threshold;
When the power transmission line has risks, the data management base sends maintenance reminding aiming at the power transmission line;
When the power transmission line is free from risk, maintaining control of the power transmission line and shortening the time length of the first target time corresponding to the power transmission line;
If not, acquiring all the first loss variation values of the power transmission line from the data management library, and adjusting the time length of the first target time according to the fluctuation condition of the first loss variation values;
The method comprises the steps of obtaining the current loss condition of the power transmission line, obtaining an initial loss value, obtaining environmental information in a first target time, obtaining a first environmental result, and calculating the loss condition in the first target time according to the first environmental result to obtain a first loss change value, wherein the method specifically comprises the following steps:
Dividing the first environmental result according to different weather information to obtain a plurality of loss time periods;
Acquiring the loss duration of each loss time period and a basic loss value corresponding to the loss time period;
Judging whether extreme weather exists in the loss time period;
If yes, correcting the loss time length according to the occurrence times of the extreme weather to obtain a correction time length, and calculating a sub-change value in the loss time period according to the correction time length and the basic loss value;
If not, calculating a sub-variation value in the loss time period according to the basic loss value and the loss duration;
adding the sub-variation values to obtain the first loss variation value in the first target time;
If so, correcting the loss time length according to the occurrence times of the extreme weather to obtain a correction time length, and calculating a sub-change value in the loss time period according to the correction time length and the basic loss value, wherein the method specifically comprises the following steps of:
acquiring the types of the extreme weather and the occurrence times of the extreme weather of various types;
Judging whether the extreme weather is in a preset range or not;
if yes, acquiring preset times of the extreme weather, and correcting the loss duration according to the occurrence times and the preset times;
If not, correcting the loss time length according to the occurrence times.
2. The method for monitoring the power transmission line based on the optical fiber sensing technology according to claim 1, wherein the predicting the environmental information in the second target time to obtain the second environmental result, and predicting the life of the power transmission line according to the loss rate and the second environmental result to obtain the remaining life of the power transmission line specifically includes:
Calculating a residual loss value of the power transmission line according to the initial loss value;
Calculating a second loss change value corresponding to the power transmission line in the second target time according to the second environmental result and the loss rate;
Calculating the difference value between the residual loss value and the second loss variation value to obtain a loss allowance;
and calculating the shortest running time of the power transmission line according to a second environment result and the loss allowance, and obtaining the residual life.
3. The method for monitoring a power transmission line based on an optical fiber sensing technology according to claim 2, wherein the calculating the shortest operation time of the power transmission line according to the second environmental result and the loss margin to obtain the remaining life specifically includes:
Dividing the second target time into a plurality of rate time periods, wherein the time length of each rate time period is the same and is the target time length;
Calculating the loss condition in each speed time period to obtain a plurality of third loss change values, and screening the third loss change values to obtain the maximum loss value;
and calculating the maximum loss rate of the power transmission line according to the maximum loss value and the target duration, and calculating the residual life of the power transmission line according to the maximum loss rate and the loss margin.
4. The method for monitoring a power transmission line based on an optical fiber sensing technology according to claim 3, wherein if yes, determining a theoretical loss threshold of the power transmission line according to the working information specifically comprises:
Acquiring the work load quantity of the power transmission line, obtaining a target load result, and determining the work grade of the power transmission line according to the target load result;
Marking a line associated with the power transmission line as an associated line of the power transmission line, acquiring the work load amounts of all the associated lines, obtaining an associated load result, and determining an associated grade of the power transmission line according to the associated load result;
Acquiring the coverage area of the associated line in the target area to obtain the coverage grade of the power transmission line;
And calculating the theoretical loss threshold according to the working grade, the association grade and the coverage grade.
5. The method for monitoring a power transmission line based on an optical fiber sensing technology according to claim 4, wherein the calculating a maintenance waiting time period required for maintaining the power transmission line according to the location information, correcting the theoretical loss threshold according to the maintenance waiting time period to obtain a corrected loss threshold, and judging whether the power transmission line has a risk according to the corrected loss threshold, specifically includes:
Calculating a waiting loss value of the power transmission line according to the maintenance waiting time length and the maximum loss rate;
Determining a waiting coefficient of a waiting loss value according to the maintenance waiting time, and converting the waiting loss value according to the waiting coefficient to obtain a converted loss value;
and correcting the theoretical loss threshold according to the converted loss value to obtain the corrected loss threshold.
6. The method for monitoring a power transmission line based on an optical fiber sensing technology according to claim 5, wherein if not, obtaining all the first loss variation values of the power transmission line from the data management library, and adjusting the time length of the first target time according to fluctuation conditions of the first loss variation values, specifically comprising:
acquiring a fluctuation range of the first loss variation value corresponding to the power transmission line;
When the number of the first loss variation values is larger than the target number, judging whether the first loss variation values are all in the fluctuation range;
if yes, extending the time length of the first target time;
If not, maintaining the time length of the first target time;
When the number of the first loss variation values is equal to or smaller than the target number, the time length of the first target time is maintained.
7. A monitoring device for a power transmission line based on an optical fiber sensing technology, wherein the monitoring method as set forth in any one of claims 1 to 6 is applied to the monitoring device, the monitoring device comprising:
the data management library is arranged in the storage module;
The acquisition module is used for acquiring the first environment result;
the prediction module is used for predicting the second environment result;
And the calculation module is used for calculating the loss rate.
CN202410417835.0A 2024-04-09 2024-04-09 Method and device for monitoring transmission line based on optical fiber sensing technology Active CN118017697B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202410417835.0A CN118017697B (en) 2024-04-09 2024-04-09 Method and device for monitoring transmission line based on optical fiber sensing technology

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202410417835.0A CN118017697B (en) 2024-04-09 2024-04-09 Method and device for monitoring transmission line based on optical fiber sensing technology

Publications (2)

Publication Number Publication Date
CN118017697A CN118017697A (en) 2024-05-10
CN118017697B true CN118017697B (en) 2024-07-09

Family

ID=90948856

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202410417835.0A Active CN118017697B (en) 2024-04-09 2024-04-09 Method and device for monitoring transmission line based on optical fiber sensing technology

Country Status (1)

Country Link
CN (1) CN118017697B (en)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111696097A (en) * 2020-06-15 2020-09-22 国网山东省电力公司平邑县供电公司 Cable on-line monitoring method and device
CN117214587A (en) * 2023-11-07 2023-12-12 国网浙江省电力有限公司象山县供电公司 Detection method and detection system for cable equipment

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106568482A (en) * 2016-11-16 2017-04-19 合肥普望电子有限责任公司 Distribution network transmission line centralized monitoring method
CN107085170A (en) * 2017-06-23 2017-08-22 盛秀群 Extra high voltage direct current transmission line based on big data is maked an inspection tour and reponse system
CN109146093B (en) * 2018-08-08 2020-08-11 成都保源酷码科技有限公司 Power equipment field investigation method based on learning
US11695975B1 (en) * 2020-03-07 2023-07-04 Stephen G. Giraud System and method for live web camera feed and streaming transmission with definitive online identity verification for prevention of synthetic video and photographic images
CN117474319A (en) * 2023-10-19 2024-01-30 国网安徽省电力有限公司合肥供电公司 Risk assessment method and system for electric power system

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111696097A (en) * 2020-06-15 2020-09-22 国网山东省电力公司平邑县供电公司 Cable on-line monitoring method and device
CN117214587A (en) * 2023-11-07 2023-12-12 国网浙江省电力有限公司象山县供电公司 Detection method and detection system for cable equipment

Also Published As

Publication number Publication date
CN118017697A (en) 2024-05-10

Similar Documents

Publication Publication Date Title
EP2605327B1 (en) Lead storage battery and lead storage battery system for system utilising natural energy
US7133787B2 (en) Method of managing electric power generator, managing device, electric power generator, communications device, computer program therefor, and managing system for electric power generator
JP5276294B2 (en) Load reduction planning system and demand control system
US8866443B2 (en) Lead acid storage battery and lead acid storage battery system for natural energy utilization system
US9136706B2 (en) Power management system and power management method
EP2800221A1 (en) Power control system and method for controlling power
CN117318111B (en) Weather prediction-based dynamic adjustment method and system for light energy storage source
CN115333170A (en) Distributed power supply grid-connected scheduling method and device and power grid operation system
CN115640967B (en) Power grid resource elastic allocation method based on extreme rainfall disaster prediction
EP3964707A1 (en) Controlling the operation of a wind turbine
CN116683500A (en) Active power scheduling method and system for electrochemical energy storage power station
CN117214587B (en) Detection method and detection system for cable equipment
CN115276007A (en) Digital power integration visual scheduling management method and system
TW202205777A (en) Moving charging system achieved by transporting secondary battery
KR101357394B1 (en) Method and system for power management
CN108923485B (en) Residential community charging pile power control method
CN117728379A (en) Intelligent operation scheduling method for regional power grid
CN118017697B (en) Method and device for monitoring transmission line based on optical fiber sensing technology
CN117933644A (en) Large-load line demand analysis system based on power operation and maintenance application
CN117154740A (en) Load regulation and control method and device for heat accumulating type electric heating participating power distribution network
US20210027399A1 (en) Energy management system
CN116896063B (en) Intelligent control method and system for power transformation and distribution
JPWO2021117127A1 (en) Power generation amount prediction device
CN115759599A (en) Power supply guarantee method and device, electronic equipment and storage medium
CN111401689B (en) Determination method, device and equipment for snowfall date of photovoltaic station and storage medium

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