CN109389333A - The methods of risk assessment and device of power equipment - Google Patents

The methods of risk assessment and device of power equipment Download PDF

Info

Publication number
CN109389333A
CN109389333A CN201811629072.7A CN201811629072A CN109389333A CN 109389333 A CN109389333 A CN 109389333A CN 201811629072 A CN201811629072 A CN 201811629072A CN 109389333 A CN109389333 A CN 109389333A
Authority
CN
China
Prior art keywords
risk
equipment
assessed
risk score
score
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.)
Pending
Application number
CN201811629072.7A
Other languages
Chinese (zh)
Inventor
周恺
张睿哲
叶宽
杨亮
李春生
王谦
蔡瀛淼
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.)
State Grid Corp of China SGCC
State Grid Beijing Electric Power Co Ltd
Original Assignee
State Grid Corp of China SGCC
State Grid Beijing 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 State Grid Corp of China SGCC, State Grid Beijing Electric Power Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN201811629072.7A priority Critical patent/CN109389333A/en
Publication of CN109389333A publication Critical patent/CN109389333A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0635Risk analysis of enterprise or organisation activities
    • 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
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A10/00TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE at coastal zones; at river basins
    • Y02A10/40Controlling or monitoring, e.g. of flood or hurricane; Forecasting, e.g. risk assessment or mapping

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Marketing (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Educational Administration (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Game Theory and Decision Science (AREA)
  • Development Economics (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a kind of methods of risk assessment of power equipment and devices.Wherein, this method comprises: obtaining the detection data of equipment to be assessed;The corresponding risk score of each detection data is determined according to preset risk score table;The risk class of equipment to be assessed is determined based on risk score.The present invention solves the prior art and mainly assesses according to subjective factor power equipment flood control risk, and the condition of a disaster is caused to predict not accurate technical problem.

Description

The methods of risk assessment and device of power equipment
Technical field
The present invention relates to risk assessment fields, in particular to the methods of risk assessment and device of a kind of power equipment.
Background technique
Meteorological disaster seriously threatens the power supply safety of power grid, the geographic climate in the region as locating for some power equipments Complexity, meteorological disaster type is more, and may also have stronger local, and damage control difficulty is also bigger, especially the summer The secondary disaster that presentation is measured big, wide feature, and thus caused more than flood season in season disastrous rainstorm such as mountain torrents mud-rock flow, river water fall Filling, low-lying place's rainwater catchment etc. seriously affect power network safety operation.Conventional electric power equipment flood control work risk assessment work master If dividing risk by subjective judgement in conjunction with O&M experience according to information such as history rainfall, flood season unit exception situations Grade.
Since the flood control methods of risk assessment of existing electric power facility is mainly differentiated according to subjective factor, the condition of a disaster prediction Information is not accurate, and therefore, poor in timeliness, reference value be not high, so as to cause prevention and control blindness, prevention and control deficiency and mistake during flood control The problem of spending and depositing.
For above-mentioned problem, currently no effective solution has been proposed.
Summary of the invention
The embodiment of the invention provides a kind of methods of risk assessment of power equipment and devices, at least to solve the prior art It is main that power equipment flood control risk is assessed according to subjective factor, cause the condition of a disaster to predict not accurate technical problem.
According to an aspect of an embodiment of the present invention, a kind of methods of risk assessment of power equipment is provided, comprising: obtain The detection data of equipment to be assessed;The corresponding risk score of each detection data is determined according to preset risk score table;It is based on Risk score determines the risk class of equipment to be assessed.
Further, the detection data of equipment to be assessed includes at least one following: power grid history flood control hidden danger information, to The status information and weather prognosis information of assessment equipment.
Further, the methods of risk assessment of power equipment further include: the device data of multiple power equipments is obtained, In, device data includes at least one following: the device types of multiple power equipments, location information, history flood season operating condition, Environmental information;Risk indicator is determined based on device data;Determine the corresponding risk score of each risk indicator;Based on each risk The corresponding risk score of index determines risk score table.
Further, the methods of risk assessment of power equipment further include: determine the corresponding device type of equipment to be assessed;Base The corresponding risk indicator of each detection data is determined in device type;Determine that risk indicator is corresponding based on preset risk score table Risk score.
Further, the methods of risk assessment of power equipment further include: determine the corresponding weighted value of each risk indicator;Base It is weighted in the risk score that weighted value treats assessment equipment, obtains target score value;Based on target score value, institute is right The scoring range answered, determines the risk class of equipment to be assessed, wherein risk class includes at least: low risk level, risk Grade, high-risk grade.
Further, the methods of risk assessment of power equipment further include: obtain the corresponding revision value of risk class;Based on repairing Value is ordered to revise scoring range corresponding to risk class.
According to another aspect of an embodiment of the present invention, a kind of risk assessment device of power equipment is additionally provided, comprising: obtain Modulus block, for obtaining the detection data of equipment to be assessed;First determining module, for being determined according to preset risk score table The corresponding risk score of each detection data;Second determining module, for determining the risk of equipment to be assessed based on risk score Grade.
According to another aspect of an embodiment of the present invention, a kind of storage medium is additionally provided, which includes storage Program, wherein equipment where control storage medium executes the methods of risk assessment of power equipment in program operation.
According to another aspect of an embodiment of the present invention, a kind of processor is additionally provided, which is used to run program, In, the methods of risk assessment of power equipment is executed when program is run.
In embodiments of the present invention, in such a way that marking mode determines the risk class of power equipment, obtain it is to be evaluated After the testing number for estimating equipment, the corresponding risk score of each detection data is determined by preset risk score table, then base The risk class of equipment to be assessed is determined in risk score.
It being easily noted that, the application is treated assessment equipment based on preset risk score table and carries out risk score, And then the risk class of equipment to be assessed is determined according to risk score, by the evaluation process of the risk class of equipment to be assessed into Digitized weakens influence of the subjective factor to assessment result, to improve the standard of the flood control risk assessment of power equipment True property, so that the risk class of power equipment has more reference value.
As shown in the above, scheme provided herein solves the prior art mainly according to subjective factor to electric power Equipment flood control risk is assessed, and the condition of a disaster is caused to predict not accurate technical problem.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present invention, constitutes part of this application, this hair Bright illustrative embodiments and their description are used to explain the present invention, and are not constituted improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is a kind of methods of risk assessment flow chart of power equipment according to an embodiment of the present invention;And
Fig. 2 is a kind of risk assessment schematic device of power equipment according to an embodiment of the present invention.
Specific embodiment
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only The embodiment of a part of the invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people The model that the present invention protects all should belong in member's every other embodiment obtained without making creative work It encloses.
It should be noted that description and claims of this specification and term " first " in above-mentioned attached drawing, " Two " etc. be to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that using in this way Data be interchangeable under appropriate circumstances, so as to the embodiment of the present invention described herein can in addition to illustrating herein or Sequence other than those of description is implemented.In addition, term " includes " and " having " and their any deformation, it is intended that cover Cover it is non-exclusive include, for example, the process, method, system, product or equipment for containing a series of steps or units are not necessarily limited to Step or unit those of is clearly listed, but may include be not clearly listed or for these process, methods, product Or other step or units that equipment is intrinsic.
Embodiment 1
According to embodiments of the present invention, a kind of methods of risk assessment embodiment of power equipment is provided, it should be noted that Step shown in the flowchart of the accompanying drawings can execute in a computer system such as a set of computer executable instructions, and It, in some cases, can be to be different from sequence execution institute herein and although logical order is shown in flow charts The step of showing or describing.
Fig. 1 is the methods of risk assessment flow chart of power equipment according to an embodiment of the present invention, as shown in Figure 1, this method Include the following steps:
Step S102 obtains the detection data of equipment to be assessed.
It should be noted that above-mentioned equipment to be assessed can be power equipment, for example, transmission line of electricity, shaft tower, substation, Power distribution station room/distribution line.The detection data of equipment to be assessed includes at least one following: power grid history flood control hidden danger information, The status information and weather prognosis information of equipment to be assessed, wherein power grid history flood control hidden danger information includes equipment to be assessed Equipment appearance to be assessed abnormal number and/or frequency caused by history rainfall and flood season in locating region;It is to be assessed The status information of equipment includes the operating status of equipment to be assessed and the environmental information of local environment, wherein equipment to be assessed Operating status include the operation time limit of equipment to be assessed, device model etc., the environmental information of equipment to be assessed includes to be assessed Equipment local environment is vulnerable to flood season effect, for example, whether transmission line of electricity closes on whether river, substation room leak Water, with the presence or absence of geological disaster hidden danger etc.;Weather prognosis information mainly includes the meteorological in short-term pre- of equipment local environment to be assessed Measurement information, such as, it is contemplated that the information such as rainfall, wind-force.
In a kind of optional scheme, the risk assessment platform of power equipment can obtain the detection data of equipment to be assessed, And detection data is handled, with the risk class of determination equipment to be assessed.Optionally, user can pass through input equipment (example Such as, keyboard, mouse) to risk assessment platform input detection data, and then risk assessment platform can obtain the equipment to be assessed Detection data.
In another optional scheme, user is defeated to risk assessment platform by input equipment (for example, keyboard, mouse) Enter the identification information (for example, title and/or number of equipment to be assessed) of equipment to be assessed, risk assessment platform is from internet And/or detection data corresponding to equipment to be assessed is extracted in the data system of work about electric power department, for example, risk assessment platform The information such as rainfall, the wind-force size of preset time period are obtained by internet.
Step S104 determines the corresponding risk score of each detection data according to preset risk score table.
It should be noted that risk score table include staff formulate equipment to be assessed each detection data institute it is right The risk score answered, for example, it is 1 point that the interlayer of substation, which leaks corresponding risk score,.
In a kind of optional scheme, different types of equipment to be assessed has different risk score tables, therefore, in root Before determining the corresponding risk score of each detection data according to risk score table, it is thus necessary to determine that set corresponding to the equipment to be assessed Standby type is then obtained and frame from the local of risk assessment platform for example, in the case where determining equipment to be assessed is overhead transmission line The corresponding risk score table in ceases to be busy road.
In another optional scheme, different types of equipment to be assessed is opposite with the different piece in risk score table It answers, for example, then determination is corresponding with overhead transmission line from risk score table in the case where determining equipment to be assessed is overhead transmission line Risk score table in partial evaluation table, and the corresponding risk score of overhead transmission line is determined based on partial evaluation table.
Step S106 determines the risk class of equipment to be assessed based on risk score.
It should be noted that risk class includes at least: low risk level, risk grade, high-risk grade.Wherein, Different risk class corresponds to different scoring ranges, for example, risk score is more than or equal to 0, and less than 1 for transmission line of electricity When, determine that the corresponding risk class of transmission line of electricity is low risk level;Risk score is more than or equal to 1, and when less than 3, determines defeated The corresponding risk class of electric line is risk grade.
It based on scheme defined by above-mentioned steps S102 to step S106, can know, electric power is determined using marking mode The mode of the risk class of equipment is determined every after the testing number for obtaining equipment to be assessed by preset risk score table The corresponding risk score of a detection data, is then based on the risk class that risk score determines equipment to be assessed.
It being easily noted that, the application is treated assessment equipment based on preset risk score table and carries out risk score, And then the risk class of equipment to be assessed is determined according to risk score, by the evaluation process of the risk class of equipment to be assessed into Digitized weakens influence of the subjective factor to assessment result, to improve the standard of the flood control risk assessment of power equipment True property, so that the risk class of power equipment has more reference value.
As shown in the above, scheme provided herein solves the prior art mainly according to subjective factor to electric power Equipment flood control risk is assessed, and the condition of a disaster is caused to predict not accurate technical problem.
In a kind of optional scheme, determining that the corresponding risk of each detection data is commented according to preset risk score table / preceding, risk assessment platform is it needs to be determined that risk score table.Specifically, risk assessment platform obtains multiple power equipments first Device data, be then based on device data and determine risk indicator, and determine the corresponding risk score of each risk indicator, finally Risk score table is determined based on the corresponding risk score of each risk indicator.Wherein, device data includes at least one following: more Device type, location information, the history flood season operating condition, environmental information of a power equipment.
Optionally, staff is by collecting the device datas of multiple power equipments, for example, device type, geographical location, History flood season operating condition, environmental information etc., then, it is determined that flood control risk class Score index, and work out risk score table.So Staff reconnoitres the scene of transmission facility afterwards, according to risk score table one by one to power equipment carry out site environment, The scoring work such as equipment state, is completed after assessing by data inputting risk assessment platform, so that risk assessment platform passes through machine The mode of study determines risk score corresponding to each risk indicator, and generates risk score table.Generating risk score table Later, risk assessment platform stores risk score table.
It should be noted that risk indicator is to determine the key factor of the risk score of power equipment, for example, all previous flood season In the shaft tower with flood control hidden danger quantity, substation or power distribution station with the presence or absence of channel leakage etc..
In a kind of optional scheme, after risk score table has been determined, risk assessment platform is according to preset risk Grade form determines the corresponding risk score of each detection data.Specifically, risk assessment platform determines equipment pair to be assessed first The device type answered is then based on device type and determines the corresponding risk indicator of each detection data, is finally based on preset wind Dangerous grade form determines the corresponding risk score of risk indicator.
Optionally, table 1 is a kind of optional risk score table.Risk assessment platform is in the equipment class for determining equipment to be assessed After type, the corresponding risk score table of the equipment to be assessed is determined, for example, determining that equipment to be assessed is overhead transmission line or distribution In the case where route, partial evaluation table corresponding to ceases to be busy road or distribution line is determined from risk score table, and according to risk Risk indicator in grade form determines risk score corresponding to the detection data of equipment to be assessed, for example, aerial determining Route is located in neighbouring river, and when vulnerable to rain drop erosion, determines that the corresponding risk score of the risk indicator is 1 point, be 0 otherwise Point.
In a kind of optional scheme, determined risk score corresponding to each detection data of equipment to be assessed it Afterwards, risk assessment platform is based further on the risk class that risk score determines equipment to be assessed.Specifically, risk assessment platform It determines the corresponding weighted value of each risk indicator, is then based on weighted value and treats the risk score of assessment equipment and be weighted meter It calculates, obtains target score value, finally based on scoring range corresponding to target score value, determine the risk etc. of equipment to be assessed Grade.
Table 1
In a kind of optional scheme, determined risk score corresponding to each detection data of equipment to be assessed it Afterwards, risk assessment platform is based further on the risk class that risk score determines equipment to be assessed.Specifically, risk assessment platform It determines the corresponding weighted value of each risk indicator, is then based on weighted value and treats the risk score of assessment equipment and be weighted meter It calculates, obtains target score value, finally based on scoring range corresponding to target score value, determine the risk etc. of equipment to be assessed Grade.
It should be noted that the risk class of equipment to be assessed and power grid history flood control hidden danger information, equipment to be assessed Status information and weather prognosis information etc. are information-related, specific as shown in table 2.
The application division principle according to shown in table 2, it is determined that evaluation index shown in table 1 and risk score, in base After table 2 determines risk score corresponding to each detection data of equipment to be assessed, risk that risk assessment platform obtains Scoring is weighted, and obtains target score value corresponding to equipment to be assessed.Wherein, the corresponding weighted value of risk indicator can The influence degree for the risk class for treating assessment equipment according to risk indicator each in historical experience by staff determines, example Such as, risk indicator treat the risk class of assessment equipment influence degree it is bigger when, the corresponding weighted value of the risk indicator It is bigger.
Further, after obtaining target score value, risk assessment platform can based on risk class tablet shown in table 3 come Risk class corresponding to the equipment to be assessed is determined, for example, for substation, if obtained target score value is more than or equal to 1, and less than 3, it is determined that the corresponding risk class of substation is risk grade.
Table 2
Table 3
Risk class Transmission line of electricity Substation Power distribution station room/distribution line
Low-risk [0,1) [0,1) [0,1)
Risk [1,3) [1,3) [1,3)
High risk [3,∞) [3,∞) [3,∞)
It should be noted that after the risk class for determining equipment to be assessed based on risk score, in order to guarantee to treat The risk class of assessment equipment is able to carry out accurate assessment, and risk assessment platform also revises risk score table.In addition, Risk assessment platform can also obtain the corresponding revision value of risk class, and based on revision value to scoring model corresponding to risk class It encloses and is revised.
As shown in the above, in this application, according to power grid history flood control hidden danger situation, electric power facility present position, The flood control risk class of power equipment is divided into high, medium and low totally three ranks, to power equipment by the factors such as weather prognosis in short-term Flood control hidden danger risk assessed, realize the division to flood control risk class, while realizing to flood control risk class It dynamically adjusts, and then solve subjective factor under Traditional measurements mode to influence greatly, the condition of a disaster predictive information is not precisely so as to cause anti- During flood prevention and control blindly, prevention and control deficiency and excessively and the problem of deposit.It is manually commented in addition, scheme provided herein also passes through Estimate data and real time meteorological data COMPREHENSIVE CALCULATING, realize power equipment flood control risk class evaluation work, it is anti-to solve tradition The problems such as flood risk class timeliness is poor, reference value is not high.
Embodiment 2
According to embodiments of the present invention, a kind of risk assessment Installation practice of power equipment is additionally provided, wherein Fig. 2 is The risk assessment schematic device of power equipment according to an embodiment of the present invention, as shown in Fig. 2, the device includes: acquisition module 201, the first determining module 203 and the second determining module 205.
Wherein, module 201 is obtained, for obtaining the detection data of equipment to be assessed;First determining module 203 is used for root The corresponding risk score of each detection data is determined according to preset risk score table;Second determining module 205, for being based on risk Scoring determines the risk class of equipment to be assessed.Wherein, the detection data of equipment to be assessed includes at least one following: power grid is gone through The location information and weather prognosis information of history flood control hidden danger information, equipment to be assessed.
Herein it should be noted that above-mentioned acquisition module 201, the first determining module 203 and the second determining module 205 are right Should be in the step S102 to step S106 of above-described embodiment, example and application scenarios that three modules and corresponding step are realized It is identical, but it is not limited to the above embodiments disclosure of that.
In a kind of optional scheme, the risk assessment device of power equipment further include: first obtains module, third determines Module, the 4th determining module and the 5th determining module.Wherein, first module is obtained, for obtaining setting for multiple power equipments Standby data, wherein device data includes at least one following: the device type of multiple power equipments, location information, history flood season Operating condition, environmental information;Third determining module, for determining risk indicator based on device data;4th determining module, is used for Determine the corresponding risk score of each risk indicator;5th determining module, for being commented based on the corresponding risk of each risk indicator Divide and determines risk score table.
In a kind of optional scheme, the first determining module includes: the 6th determining module, the 7th determining module and the 8th Determining module.Wherein, the 6th determining module, for determining the corresponding device type of equipment to be assessed;7th determining module, is used for The corresponding risk indicator of each detection data is determined based on device type;8th determining module, for being commented based on preset risk Table is divided to determine the corresponding risk score of risk indicator.
In a kind of optional scheme, the second determining module includes: that the 9th determining module, processing module and the tenth are determining Module.Wherein, the 9th determining module, for determining the corresponding weighted value of each risk indicator;Processing module, for being based on weight The risk score that value treats assessment equipment is weighted, and obtains target score value;Tenth determining module, for being based on target Scoring range corresponding to score value, determines the risk class of equipment to be assessed, wherein risk class includes at least: low-risk Grade, risk grade, high-risk grade.
In a kind of optional scheme, the risk assessment device of power equipment further include: second obtains module and revision Module.Wherein, second module is obtained, for obtaining the corresponding revision value of risk class;Module is revised, for being based on revision value pair Scoring range corresponding to risk class is revised.
Embodiment 3
According to another aspect of an embodiment of the present invention, a kind of storage medium is additionally provided, which includes storage Program, wherein equipment where control storage medium executes the risk assessment side of the power equipment in embodiment 1 in program operation Method.
Embodiment 4
According to another aspect of an embodiment of the present invention, a kind of processor is additionally provided, which is used to run program, In, the methods of risk assessment of the power equipment in embodiment 1 is executed when program is run.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
In the above embodiment of the invention, it all emphasizes particularly on different fields to the description of each embodiment, does not have in some embodiment The part of detailed description, reference can be made to the related descriptions of other embodiments.
In several embodiments provided herein, it should be understood that disclosed technology contents can pass through others Mode is realized.Wherein, the apparatus embodiments described above are merely exemplary, such as the division of the unit, Ke Yiwei A kind of logical function partition, there may be another division manner in actual implementation, for example, multiple units or components can combine or Person is desirably integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual Between coupling, direct-coupling or communication connection can be through some interfaces, the INDIRECT COUPLING or communication link of unit or module It connects, can be electrical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple On unit.It can some or all of the units may be selected to achieve the purpose of the solution of this embodiment according to the actual needs.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product When, it can store in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words It embodies, which is stored in a storage medium, including some instructions are used so that a computer Equipment (can for personal computer, server or network equipment etc.) execute each embodiment the method for the present invention whole or Part steps.And storage medium above-mentioned includes: that USB flash disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited Reservoir (RAM, Random Access Memory), mobile hard disk, magnetic or disk etc. be various to can store program code Medium.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered It is considered as protection scope of the present invention.

Claims (10)

1. a kind of methods of risk assessment of power equipment characterized by comprising
Obtain the detection data of equipment to be assessed;
The corresponding risk score of each detection data is determined according to preset risk score table;
The risk class of the equipment to be assessed is determined based on the risk score.
2. the method according to claim 1, wherein the detection data of the equipment to be assessed include it is following at least One of: power grid history flood control hidden danger information, the status information and weather prognosis information of the equipment to be assessed.
3. the method according to claim 1, wherein determining each inspection according to preset risk score table Before the corresponding risk score of measured data, the method also includes:
Obtain the device data of multiple power equipments, wherein the device data includes at least one following: the multiple electric power Device type, location information, the history flood season operating condition, environmental information of equipment;
Risk indicator is determined based on the device data;
Determine the corresponding risk score of each risk indicator;
The risk score table is determined based on the corresponding risk score of each risk indicator.
4. according to the method described in claim 3, it is characterized in that, determining each detection according to preset risk score table The corresponding risk score of data, comprising:
Determine the corresponding device type of the equipment to be assessed;
The corresponding risk indicator of each detection data is determined based on the device type;
The corresponding risk score of the risk indicator is determined based on the preset risk score table.
5. according to the method described in claim 4, it is characterized in that, determining the equipment to be assessed based on the risk score Risk class, comprising:
Determine the corresponding weighted value of each risk indicator;
It is weighted based on risk score of the weighted value to the equipment to be assessed, obtains target score value;
Based on scoring range corresponding to the target score value, the risk class of the equipment to be assessed is determined, wherein described Risk class includes at least: low risk level, risk grade, high-risk grade.
6. the method according to claim 1, wherein determining the equipment to be assessed based on the risk score Risk class after, the method also includes:
Obtain the corresponding revision value of the risk class;
Scoring range corresponding to the risk class is revised based on the revision value.
7. a kind of risk assessment device of power equipment characterized by comprising
Module is obtained, for obtaining the detection data of equipment to be assessed;
First determining module, for determining the corresponding risk score of each detection data according to preset risk score table;
Second determining module, for determining the risk class of the equipment to be assessed based on the risk score.
8. device according to claim 7, which is characterized in that the detection data of the equipment to be assessed include it is following at least One of: the location information and weather prognosis information of power grid history flood control hidden danger information, the equipment to be assessed.
9. a kind of storage medium, which is characterized in that the storage medium includes the program of storage, wherein run in described program When control the storage medium where equipment perform claim require any one of 1 to 6 described in power equipment risk assessment Method.
10. a kind of processor, which is characterized in that the processor is for running program, wherein right of execution when described program is run Benefit require any one of 1 to 6 described in power equipment methods of risk assessment.
CN201811629072.7A 2018-12-28 2018-12-28 The methods of risk assessment and device of power equipment Pending CN109389333A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811629072.7A CN109389333A (en) 2018-12-28 2018-12-28 The methods of risk assessment and device of power equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811629072.7A CN109389333A (en) 2018-12-28 2018-12-28 The methods of risk assessment and device of power equipment

Publications (1)

Publication Number Publication Date
CN109389333A true CN109389333A (en) 2019-02-26

Family

ID=65430955

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811629072.7A Pending CN109389333A (en) 2018-12-28 2018-12-28 The methods of risk assessment and device of power equipment

Country Status (1)

Country Link
CN (1) CN109389333A (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112070406A (en) * 2020-09-11 2020-12-11 国网北京市电力公司 Equipment risk processing method and device for power transmission equipment and electronic device
CN112070407A (en) * 2020-09-11 2020-12-11 国网北京市电力公司 Environmental risk processing method and device for power transmission equipment
CN112308460A (en) * 2020-11-23 2021-02-02 国网北京市电力公司 Safety production risk assessment method and device, processor and risk assessment system
CN112381437A (en) * 2020-11-23 2021-02-19 国网北京市电力公司 Power grid risk assessment method and device, processor and risk assessment system
CN115760074A (en) * 2022-12-07 2023-03-07 中国南方电网有限责任公司超高压输电公司广州局 Power equipment operation and maintenance method and device, computer equipment and storage medium

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107832975A (en) * 2017-11-30 2018-03-23 南方电网科学研究院有限责任公司 A kind of equipment complex methods of risk assessment, device and power system

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107832975A (en) * 2017-11-30 2018-03-23 南方电网科学研究院有限责任公司 A kind of equipment complex methods of risk assessment, device and power system

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112070406A (en) * 2020-09-11 2020-12-11 国网北京市电力公司 Equipment risk processing method and device for power transmission equipment and electronic device
CN112070407A (en) * 2020-09-11 2020-12-11 国网北京市电力公司 Environmental risk processing method and device for power transmission equipment
CN112308460A (en) * 2020-11-23 2021-02-02 国网北京市电力公司 Safety production risk assessment method and device, processor and risk assessment system
CN112381437A (en) * 2020-11-23 2021-02-19 国网北京市电力公司 Power grid risk assessment method and device, processor and risk assessment system
CN115760074A (en) * 2022-12-07 2023-03-07 中国南方电网有限责任公司超高压输电公司广州局 Power equipment operation and maintenance method and device, computer equipment and storage medium

Similar Documents

Publication Publication Date Title
CN109389333A (en) The methods of risk assessment and device of power equipment
Karimi et al. Dynamic thermal rating of transmission lines: A review
Jarventausta et al. Using fuzzy sets to model the uncertainty in the fault location process of distribution networks
CN103033855B (en) Grid meteorological disaster monitoring and early warning system
Durdu Application of linear stochastic models for drought forecasting in the Büyük Menderes river basin, western Turkey
CN103337133B (en) Based on the electrical network Thunderstorm early warning system and the method that identify forecasting technique
KR102108754B1 (en) Realtime forest fire danger rating system in north korea
Neubert et al. The geographic information system‐based flood damage simulation model HOWAD
Guedes Soares et al. Statistical uncertainty in long-term distributions of significant wave height
CN104538958B (en) The intelligent analysis method of Electricity customers electrical network access point and system
Shin et al. Investigation of drought propagation in South Korea using drought index and conditional probability.
CN112308292A (en) Method for drawing fire risk grade distribution map
KR102108752B1 (en) Method for realtime forest fire danger rating forecasting in north korea
CN106682774A (en) Contact net insulator pollution flashover prediction method
Weekes et al. Data efficient measure-correlate-predict approaches to wind resource assessment for small-scale wind energy
Koivisto et al. Application of microscale wind and detailed wind power plant data in large-scale wind generation simulations
Pittore et al. Toward a loss‐driven earthquake early warning and rapid response system for Kyrgyzstan (Central Asia)
CN113537846B (en) Meteorological disaster-based risk analysis method and system for power transmission and distribution line tower
CN109146230A (en) A kind of electric line typhoon wind damage caused by waterlogging evil is short to face method for early warning and device
KR20150059505A (en) Apparatus and method for managing disaster using floating population of base station
CN112836897A (en) Power grid geological settlement hidden danger risk prediction method based on machine learning
KR102108755B1 (en) Realtime forest fire danger rating system in north korea on mobile network
CN112257329A (en) Method for judging influence of typhoon on line
CN109740900A (en) The flood control method and device of power equipment
Hou et al. Modeling the resilience of power distribution systems subjected to extreme winds considering tree failures: An integrated framework

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
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20190226