CN110648072A - Power communication operation and maintenance safety risk assessment method based on fuzzy analytic hierarchy process - Google Patents
Power communication operation and maintenance safety risk assessment method based on fuzzy analytic hierarchy process Download PDFInfo
- Publication number
- CN110648072A CN110648072A CN201910918966.6A CN201910918966A CN110648072A CN 110648072 A CN110648072 A CN 110648072A CN 201910918966 A CN201910918966 A CN 201910918966A CN 110648072 A CN110648072 A CN 110648072A
- Authority
- CN
- China
- Prior art keywords
- risk
- factors
- fuzzy
- equipment
- power communication
- 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
Links
- 238000000034 method Methods 0.000 title claims abstract description 57
- 238000004891 communication Methods 0.000 title claims abstract description 50
- 238000012423 maintenance Methods 0.000 title claims abstract description 24
- 238000012502 risk assessment Methods 0.000 title claims abstract description 22
- 238000011156 evaluation Methods 0.000 claims abstract description 63
- 239000011159 matrix material Substances 0.000 claims abstract description 12
- 238000012545 processing Methods 0.000 claims abstract description 5
- 230000003287 optical effect Effects 0.000 claims description 30
- 230000004224 protection Effects 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 6
- 230000032683 aging Effects 0.000 claims description 4
- 238000010276 construction Methods 0.000 claims description 4
- 238000007689 inspection Methods 0.000 claims description 4
- 230000000737 periodic effect Effects 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000013598 vector Substances 0.000 description 2
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000006735 deficit Effects 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 238000004445 quantitative analysis Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computing arrangements based on specific mathematical models
- G06N7/02—Computing arrangements based on specific mathematical models using fuzzy logic
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Physics & Mathematics (AREA)
- Economics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- General Health & Medical Sciences (AREA)
- Tourism & Hospitality (AREA)
- Software Systems (AREA)
- General Business, Economics & Management (AREA)
- Biomedical Technology (AREA)
- Data Mining & Analysis (AREA)
- Operations Research (AREA)
- Life Sciences & Earth Sciences (AREA)
- Automation & Control Theory (AREA)
- Game Theory and Decision Science (AREA)
- Fuzzy Systems (AREA)
- Educational Administration (AREA)
- Molecular Biology (AREA)
- Development Economics (AREA)
- Algebra (AREA)
- Artificial Intelligence (AREA)
- Computational Mathematics (AREA)
- Quality & Reliability (AREA)
- Evolutionary Computation (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- Primary Health Care (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention relates to a power communication operation and maintenance safety risk assessment method based on a fuzzy analytic hierarchy process, which comprises the following steps of: (1) establishing a risk index system of the system; (2) determining a factor set: determining a factor set according to the established risk index system in the step (1); dividing and processing according to different levels of factors; (3) determination of fuzzy weight set: ranking the evaluation factors according to the importance degree, thereby determining the fuzzy weight of the factors; (4) determination of comment set: collecting the factors divided into 3-7 levels and setting the factors as a comment set; (5) establishing a fuzzy evaluation matrix: determining the grade of the evaluated factors according to the data of the evaluated factors, and then counting the evaluation results to obtain an evaluation result statistical table; solving the membership degree of the comments of different grades of each factor through the evaluation result statistical table, and then establishing a fuzzy evaluation matrix; (6) calculating a comprehensive evaluation result: and calculating the risk by adopting an algorithm and obtaining a comprehensive evaluation result.
Description
Technical Field
The invention relates to the technical field of communication, in particular to a power communication operation and maintenance safety risk assessment method based on a fuzzy analytic hierarchy process.
Background
The power communication network is a communication private network for the operation of a power system and is one of three main pillars for safe, stable and reliable production of a modern power network. The risk assessment of the operation and maintenance of the power communication is a prior means for ensuring the operation of the communication network, and is vital to ensuring the safe, stable and reliable operation of the communication network and preventing disaster accidents. Because multiple condition factors such as network security, equipment security, business security and the like need to be considered in the risk assessment process, how to carry out overall comprehensive risk assessment under the condition of multiple dimensions and multiple resources is an important problem to be solved.
Wherein, the assets: the method refers to the things which are directly endowed with value and need to be protected by enterprises and institutions. The vulnerabilities, threats faced, protections and security controls that need to be implemented vary from asset to asset.
Weak points: refers to vulnerabilities in assets that can be exploited. Vulnerabilities can be either hardware or software.
Threat: refers to the potential cause of a damage incident that may be done to an asset or organization.
Risk: refers to the potential for a particular threat to exploit one or a set of vulnerabilities of an asset, resulting in loss or damage to the asset.
The electric power communication network comprises various communication devices, network devices and machine rooms which are organized together to form a multi-technology and multi-level complex network structure, so that a risk evaluation index system of the electric power communication network needs to be considered. According to the concept of the risk of the power communication network, assets, weak points, threats and risks in the power communication network need to be identified, meanwhile, influence factors of risk points are mined, and a power communication network-oriented risk index system is established.
Currently, research methods for risk assessment are mainly divided into three categories: quantitative risk assessment, qualitative risk assessment, and a combined quantitative and qualitative assessment method. The qualitative method can dig some ideas with deep hiding, so that the conclusion of the comment is more comprehensive and deeper, but the subjectivity is too strong, and the comment is often influenced by factors such as knowledge, experience, teaching and training of an evaluator. The quantitative method expresses the evaluation result through visual data, which is clear at a glance, but can simplify the original complex affairs, lose the main factors, and possibly misunderstand and misinterpret some factors. Therefore, the scientificity and objectivity of evaluation can be embodied by adopting a method combining qualitative and quantitative determination. In the actual risk assessment process, an assessment object is an analytic hierarchy process which is a main means, however, the analytic hierarchy process is not easy to convince under the conditions of too many indexes and too large data volume, and it is very difficult to check and judge whether the matrixes are consistent. The fuzzy analytic hierarchy process combines the fuzzy method and the analytic hierarchy process, and optimizes the limitation of the analytic hierarchy process in practical application.
Therefore, it is necessary to provide a method for power communication operation and maintenance safety risk assessment based on the fuzzy analytic hierarchy process, which constructs risk assessment indexes according to actual situations, starts from the aspects of practicability and operability by using the fuzzy analytic hierarchy process, and combines the characteristics of the power communication network.
Disclosure of Invention
The invention provides a power communication operation and maintenance safety risk assessment method based on a fuzzy analytic hierarchy process, which is used for carrying out risk assessment on power communication operation and maintenance by utilizing the fuzzy analytic hierarchy process, modeling multiple dimensions of business safety risk, network safety risk and equipment safety risk in communication operation, excavating risk points of equipment and an optical cable from the multiple dimensions, and comprehensively assessing the power communication operation and maintenance safety risk; the stability and the accuracy of data prediction are improved, and a solution is provided for risk assessment of the communication network.
In order to solve the technical problems, the invention adopts the technical scheme that: the power communication operation and maintenance safety risk assessment method based on the fuzzy analytic hierarchy process comprises the following steps:
(1) establishing a risk index system of the system;
(2) determining a factor set: determining a factor set according to the established risk index system in the step (1); dividing and processing according to different levels of factors;
(3) determination of fuzzy weight set: ranking the evaluation factors according to the importance degree, thereby determining the fuzzy weight of the factors;
(4) determination of comment set: collecting the factors divided into 3-7 levels and setting the factors as a comment set;
(5) establishing a fuzzy evaluation matrix: determining the grade of the evaluated factors according to the data of the evaluated factors, and then counting the evaluation results to obtain an evaluation result statistical table; solving the membership degree of the comments of different grades of each factor through the evaluation result statistical table, and then establishing a fuzzy evaluation matrix;
(6) calculating a comprehensive evaluation result: and calculating the risk by adopting an algorithm and obtaining a comprehensive evaluation result.
By adopting the technical scheme, the risk index system really reflects the performance of the system, and the basic principle of designing the index system is as follows: testability, independence and consistency; setting a comment set as V; an expert can fill in an evaluation card, corresponding grades are given according to the specific conditions of the evaluated factors, and then the evaluation conditions are counted; listing an evaluation result statistical table, solving the membership degree of each factor belonging to different grades of comments by the evaluation result statistical table, and then establishing a fuzzy evaluation matrix; the principle of the multi-layer comprehensive evaluation is as follows: and (4) evaluating from the bottommost layer, taking the evaluation result of each layer as a single-factor evaluation set of the previous layer, forming a single-factor evaluation matrix of the higher layer, and sequentially carrying out evaluation until the evaluation of the highest layer is finished.
As a preferred technical solution of the present invention, an improved metric function is adopted in the step (6) for calculating the risk by using an algorithm; the metric function is: r ═ f (p, q), where p represents the probability of occurrence of an indeterminate event, q represents the consequence of occurrence of an indeterminate event, and R is the calculation result;
for the security risk of power communication, the assets, threats and vulnerabilities need to be considered comprehensively, X assets, Y threats and Z vulnerabilities are set, and the total risk of the system can be expressed as follows:
wherein ViRepresenting asset value, TjRepresenting a threat, QkRepresenting a weak point, P (T)j,Qk) Representative threat TjLower weak point QkThe probability of occurrence.
As a preferred technique of the present inventionIn the technical scheme, when in a service model, the safety risk is formed by an optical cable and equipment together, a reference circuit calculates a resistance calculation mode and divides into a series-parallel scene; wherein the series scenario Req＝∑RiIn parallel connection with a scene ofWherein i is 1 … n; reqIs the total risk of the system; riIs the risk value of a single cable or device.
As a preferred technical solution of the present invention, the risk indicator system in step (1) includes an optical cable risk indicator system and an equipment risk indicator system. The electric power communication network comprises various communication devices, network devices and machine rooms which are organized together to form a multi-technology and multi-level complex network structure, so that a risk evaluation index system of the electric power communication network needs to be considered. The lower diagram is an abstract model, equipment is represented as nodes, the nodes are connected through optical cables, and services are carried on links. The power communication security risk refers to determining the serious loss of the whole system caused by the loss or damage of each resource in the power communication network management, and is the evaluation of threats, vulnerabilities and the risk caused by the vulnerabilities.
As a preferred technical scheme of the invention, the optical cable risk indicator system comprises an optical cable threat index and an optical cable weak point; the optical cable threat indexes comprise construction influence, transportation, electromagnetization, natural disasters and human factors; the weak points of the optical cable comprise insufficient overhead height, common erection of power lines, insufficient protection strength and insufficient buried depth. For optical cables, threats include construction impact, transportation, electromagnetization, man-made damage, and natural disasters, and weak points include insufficient overhead height, erection together with power lines, insufficient protection strength and facilities, and insufficient buried depth.
As a preferred technical scheme of the invention, the equipment safety risk comprises equipment threat indexes and equipment vulnerability; the equipment threat indicators comprise vibration, equipment aging, equipment overload and continuous operation; the equipment vulnerabilities include poor equipment quality, improper periodic inspection, improper protection, and insecure fixturing. For equipment, threats include vibration, equipment aging, equipment overload and continuous operation, and weak points include poor quality of equipment, periodic inspections, improper protection, and insecure fixturing. Asset impact can be viewed as a traffic stability impact running on a link, from low to high including traffic delay, traffic impairment and traffic interruption.
By adopting the technical scheme, the risk evaluation is carried out on the electric power communication operation and maintenance by using the fuzzy analytic hierarchy process, multiple dimensions of service safety risk, network safety risk and equipment safety risk in communication operation are modeled, risk points of equipment and an optical cable are excavated from the multiple dimensions, and the electric power communication operation and maintenance safety risk is comprehensively evaluated; the electric power communication operation and maintenance safety risk assessment method based on the fuzzy analytic hierarchy process is high in reasonability and effectiveness.
Drawings
The technical scheme of the invention is further described by combining the accompanying drawings as follows:
FIG. 1 is a risk model of an electric power communication service in the method for evaluating the operation and maintenance safety risk of electric power communication based on the fuzzy analytic hierarchy process of the present invention;
FIG. 2 is a security risk of an optical cable in the method for power communication operation and maintenance security risk assessment based on the fuzzy analytic hierarchy process of the present invention;
FIG. 3 is a safety risk of the device in the method for power communication operation and maintenance safety risk assessment based on the fuzzy analytic hierarchy process of the invention;
fig. 4 is an algorithm diagram of embodiment 2 in the method for assessing the safety risk of power communication operation and maintenance based on the fuzzy analytic hierarchy process of the present invention.
Detailed Description
For the purpose of enhancing the understanding of the present invention, the present invention will be described in further detail with reference to the accompanying drawings and examples, which are provided for the purpose of illustration only and are not intended to limit the scope of the present invention.
Example 1: as shown in fig. 1 to 3, the method for evaluating the power communication operation and maintenance safety risk based on the fuzzy analytic hierarchy process includes the following steps:
(1) establishing a risk index system of the system; the risk index system comprises an optical cable risk index system and an equipment risk index system;
the optical cable risk indicator system comprises optical cable threat indicators and optical cable weak points; the optical cable threat indexes comprise construction influence, transportation, electromagnetization, natural disasters and human factors; the weak points of the optical cable comprise insufficient overhead height, common erection of power lines, insufficient protection strength and insufficient buried depth; as shown in fig. 2;
the equipment security risk comprises equipment threat indicators and equipment vulnerabilities; the equipment threat indicators comprise vibration, equipment aging, equipment overload and continuous operation; the equipment vulnerability comprises poor quality, unreasonable regular inspection, unreasonable protection and insecure fixation; as shown in fig. 3;
(2) determining a factor set: determining a factor set according to the established risk index system in the step (1); dividing and processing according to different levels of factors;
(3) determination of fuzzy weight set: ranking the evaluation factors according to the importance degree, thereby determining the fuzzy weight of the factors;
(4) determination of comment set: collecting the factors divided into 3-7 levels and setting the factors as a comment set;
(5) establishing a fuzzy evaluation matrix: determining the grade of the evaluated factors according to the data of the evaluated factors, and then counting the evaluation results to obtain an evaluation result statistical table; solving the membership degree of the comments of different grades of each factor through the evaluation result statistical table, and then establishing a fuzzy evaluation matrix;
(6) calculating a comprehensive evaluation result: calculating risks by adopting an algorithm and obtaining a comprehensive evaluation result;
in the step (6), an improved metric function is adopted for calculating the risk by adopting an algorithm; the metric function is: r ═ f (p, q), where p represents the probability of occurrence of an indeterminate event, q represents the consequence of occurrence of an indeterminate event, and R is the calculation result;
for the security risk of power communication, the assets, threats and vulnerabilities need to be considered comprehensively, X assets, Y threats and Z vulnerabilities are set, and the total risk of the system can be expressed as follows:
wherein ViRepresenting asset value, TjRepresenting a threat, QkRepresenting a weak point, P (T)j,Qk) Representative threat TjLower weak point QkThe probability of occurrence.
When in a service model, the safety risk is formed by an optical cable and equipment together, a reference circuit calculates a resistance calculation mode and divides into a series-parallel scene; wherein the series scenario Req＝∑RiIn parallel connection with a scene of
Wherein i is 1 … n; reqIs the total risk of the system; riIs a risk value for a single device or cable.
Example 2: constructing a power communication network example by taking a power communication operation and maintenance scene of a certain city as a sample, as shown in fig. 4;
(1) establishing a risk index system of the system; determining index weights of the optical cable and the equipment according to a Delphi expert investigation method on the basis of a risk index system; according to the characteristics of the optical cable and the equipment, the risk evaluation is defined as 3 grades: determining membership function of index layer by adopting expert evaluation method, and then using the membership function { risk evaluation low V1, risk evaluation medium V2 and risk evaluation high V3}, wherein V isCalculating evaluation vectors of the intermediate layer and the target layer respectively by a fuzzy synthesis operator; the following table 1 is an optical cable risk index information table;
table 1 optical cable risk index information table
The following table 2 is an equipment risk index information table;
TABLE 2 Equipment Risk indicator information Table
(2) Determining a factor set: determining a factor set according to the established risk index system in the step (1); dividing and processing according to different levels of factors;
(3) determination of fuzzy weight set: ranking the evaluation factors according to the importance degree, thereby determining the fuzzy weight of the factors;
(4) determination of comment set: collecting the factors divided into 3-7 levels and setting the factors as a comment set;
(5) establishing a fuzzy evaluation matrix: determining the grade of the evaluated factors according to the data of the evaluated factors, and then counting the evaluation results to obtain an evaluation result statistical table; solving the membership degree of the comments of different grades of each factor through the evaluation result statistical table, and then establishing a fuzzy evaluation matrix;
(6) calculating a comprehensive evaluation result: calculating risks by adopting an algorithm and obtaining a comprehensive evaluation result;
assuming that the fuzzy vector is v ═ 0.1,0.5,0.7, the risk values for the cables and equipment are calculated as follows:
L＝(0.21,0.47,0.33)(0.1,0.5,0.7)TX(0.03,0.22,0.75)(0.1,0.5,0.7)T＝0.31
D＝(0.22,0.38,0.41)(0.1,0.5,0.7)TX(0.03,0.22,0.75)(0.1,0.5,0.7)T＝0.318
therefore, the primary channel has a risk value of 3L +2D of 1.566, and the backup channel has a risk value of 2L + D of 0.938. The overall risk value is calculated as
The comprehensive risk value is lower than the respective risk values of the main channel and the standby channel.
It is obvious to those skilled in the art that the present invention is not limited to the above embodiments, and it is within the scope of the present invention to adopt various insubstantial modifications of the method concept and technical scheme of the present invention, or to directly apply the concept and technical scheme of the present invention to other occasions without modification.
Claims (6)
1. A power communication operation and maintenance safety risk assessment method based on a fuzzy analytic hierarchy process is characterized by comprising the following steps:
(1) establishing a risk index system of the system;
(2) determining a factor set: determining a factor set according to the established risk index system in the step (1); dividing and processing according to different levels of factors;
(3) determination of fuzzy weight set: ranking the evaluation factors according to the importance degree, thereby determining the fuzzy weight of the factors;
(4) determination of comment set: collecting the factors divided into 3-7 levels and setting the factors as a comment set;
(5) establishing a fuzzy evaluation matrix: determining the grade of the evaluated factors according to the data of the evaluated factors, and then counting the evaluation results to obtain an evaluation result statistical table; solving the membership degree of the comments of different grades of each factor through the evaluation result statistical table, and then establishing a fuzzy evaluation matrix;
(6) calculating a comprehensive evaluation result: and calculating the risk by adopting an algorithm and obtaining a comprehensive evaluation result.
2. The method for assessing the operation and maintenance safety risk of power communication based on the fuzzy analytic hierarchy process of claim 1, wherein the step (6) of calculating the risk by using an algorithm uses an improved metric function; the metric function is: r ═ f (p, q), where p represents the probability of occurrence of an indeterminate event, q represents the consequence of occurrence of an indeterminate event, and R is the calculation result;
for the security risk of power communication, the assets, threats and vulnerabilities need to be considered comprehensively, X assets, Y threats and Z vulnerabilities are set, and the total risk of the system can be expressed as follows:
wherein ViRepresenting asset value, TjRepresenting a threat, QkRepresenting a weak point, P (T)j,Qk) Representative threat TjLower weak point QkThe probability of occurrence.
3. The method for assessing the operation and maintenance safety risk of power communication based on the fuzzy analytic hierarchy process of claim 2, wherein when the safety risk is formed by an optical cable and equipment in a business model, the reference circuit calculates a resistance calculation mode and is divided into a series-parallel scene; wherein the series scenario Req＝∑RiIn parallel connection with a scene of
Wherein i is 1 … n; reqIs the total risk of the system; riIs the risk value of a single cable or device.
4. The method for assessing operation and maintenance safety risk of power communication based on the fuzzy analytic hierarchy process of claim 3, wherein the risk indicator system in the step (1) comprises an optical cable risk indicator system and an equipment risk indicator system.
5. The method for assessing the operational safety risk of electric power communication based on the fuzzy analytic hierarchy process of claim 4, wherein the optical cable risk indicator system comprises an optical cable threat indicator and an optical cable weak point; the optical cable threat indexes comprise construction influence, transportation, electromagnetization, natural disasters and human factors; the weak points of the optical cable comprise insufficient overhead height, common erection of power lines, insufficient protection strength and insufficient buried depth.
6. The method for power communication operation and maintenance safety risk assessment based on the fuzzy analytic hierarchy process of claim 4, wherein the equipment safety risk comprises equipment threat index and equipment vulnerability; the equipment threat indicators comprise vibration, equipment aging, equipment overload and continuous operation; the equipment vulnerabilities include poor equipment quality, improper periodic inspection, improper protection, and insecure fixturing.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910918966.6A CN110648072A (en) | 2019-09-26 | 2019-09-26 | Power communication operation and maintenance safety risk assessment method based on fuzzy analytic hierarchy process |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910918966.6A CN110648072A (en) | 2019-09-26 | 2019-09-26 | Power communication operation and maintenance safety risk assessment method based on fuzzy analytic hierarchy process |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110648072A true CN110648072A (en) | 2020-01-03 |
Family
ID=69011493
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910918966.6A Pending CN110648072A (en) | 2019-09-26 | 2019-09-26 | Power communication operation and maintenance safety risk assessment method based on fuzzy analytic hierarchy process |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110648072A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111340337A (en) * | 2020-02-14 | 2020-06-26 | 国网山西省电力公司大同供电公司 | Method for evaluating operation risk of power distribution network by high-permeability distributed power supply grid connection |
| CN111489077A (en) * | 2020-04-07 | 2020-08-04 | 王菲 | Reliability assessment method for power communication system |
| CN111614615A (en) * | 2020-04-16 | 2020-09-01 | 国网浙江省电力有限公司湖州供电公司 | Network security quantitative evaluation method for transformer substation power monitoring system |
| CN113592324A (en) * | 2021-08-05 | 2021-11-02 | 国网江苏省电力有限公司无锡供电分公司 | Cable terminal tower live-line work risk assessment method based on hierarchical analysis |
| CN114022000A (en) * | 2021-11-09 | 2022-02-08 | 中交智运有限公司 | Vehicle road transportation risk assessment method and system based on fuzzy comprehensive evaluation |
| CN116208429A (en) * | 2023-04-27 | 2023-06-02 | 中国信息通信研究院 | Security capability evaluation method and device of zero trust system architecture |
| CN116318915A (en) * | 2023-02-22 | 2023-06-23 | 深圳市众云网有限公司 | Network security risk assessment service system |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106203833A (en) * | 2016-07-05 | 2016-12-07 | 杨林 | Power telecom network risk evaluating system |
| CN106327071A (en) * | 2016-08-19 | 2017-01-11 | 广东电网有限责任公司佛山供电局 | Power line communication risk analysis method and power line communication risk analysis system |
| CN108549984A (en) * | 2018-04-12 | 2018-09-18 | 南京南瑞继保电气有限公司 | A kind of electric power communication transmission network performance synthesis appraisal procedure based on fuzzy AHP |
-
2019
- 2019-09-26 CN CN201910918966.6A patent/CN110648072A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106203833A (en) * | 2016-07-05 | 2016-12-07 | 杨林 | Power telecom network risk evaluating system |
| CN106327071A (en) * | 2016-08-19 | 2017-01-11 | 广东电网有限责任公司佛山供电局 | Power line communication risk analysis method and power line communication risk analysis system |
| CN108549984A (en) * | 2018-04-12 | 2018-09-18 | 南京南瑞继保电气有限公司 | A kind of electric power communication transmission network performance synthesis appraisal procedure based on fuzzy AHP |
Non-Patent Citations (1)
| Title |
|---|
| 劳志烜: "基于模糊层次法的电力通信网风险模型的研究", 《中国优秀博硕士学位论文全文数据库(硕士) 信息科技辑》 * |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111340337A (en) * | 2020-02-14 | 2020-06-26 | 国网山西省电力公司大同供电公司 | Method for evaluating operation risk of power distribution network by high-permeability distributed power supply grid connection |
| CN111340337B (en) * | 2020-02-14 | 2023-07-21 | 国网山西省电力公司大同供电公司 | Method for evaluating running risk of power distribution network by high-permeability distributed power grid connection |
| CN111489077A (en) * | 2020-04-07 | 2020-08-04 | 王菲 | Reliability assessment method for power communication system |
| CN111614615A (en) * | 2020-04-16 | 2020-09-01 | 国网浙江省电力有限公司湖州供电公司 | Network security quantitative evaluation method for transformer substation power monitoring system |
| CN113592324A (en) * | 2021-08-05 | 2021-11-02 | 国网江苏省电力有限公司无锡供电分公司 | Cable terminal tower live-line work risk assessment method based on hierarchical analysis |
| CN114022000A (en) * | 2021-11-09 | 2022-02-08 | 中交智运有限公司 | Vehicle road transportation risk assessment method and system based on fuzzy comprehensive evaluation |
| CN116318915A (en) * | 2023-02-22 | 2023-06-23 | 深圳市众云网有限公司 | Network security risk assessment service system |
| CN116208429A (en) * | 2023-04-27 | 2023-06-02 | 中国信息通信研究院 | Security capability evaluation method and device of zero trust system architecture |
| CN116208429B (en) * | 2023-04-27 | 2023-07-21 | 中国信息通信研究院 | Security capability evaluation method and device of zero trust system architecture |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110648072A (en) | Power communication operation and maintenance safety risk assessment method based on fuzzy analytic hierarchy process | |
| Mao et al. | Assessment of the impact of interdependencies on the resilience of networked critical infrastructure systems | |
| Croope et al. | Improving resilience of critical infrastructure systems postdisaster: recovery and mitigation | |
| Pitilakis et al. | SYNER-G: typology definition and fragility functions for physical elements at seismic risk | |
| US7529195B2 (en) | System and method of mapping and analyzing vulnerabilities in networks | |
| Kong et al. | Sequential hazards resilience of interdependent infrastructure system: A case study of Greater Toronto Area energy infrastructure system | |
| Shadabfar et al. | Resilience-based design of infrastructure: Review of models, methodologies, and computational tools | |
| CN106203833A (en) | Power telecom network risk evaluating system | |
| CN105915402A (en) | Industrial control network security protection system | |
| Yang et al. | Research on Cloud Computing Security Risk Assessment Based on Information Entropy and Markov Chain. | |
| CN104320271B (en) | A kind of network equipment safety evaluation method and device | |
| Stergiopoulos et al. | Critical infrastructure protection tools: classification and comparison | |
| CN106327071A (en) | Power line communication risk analysis method and power line communication risk analysis system | |
| CN108769018B (en) | Multidimensional and multi-granularity network space security measurement method | |
| Rod et al. | Recoverability modeling of power distribution systems using accelerated life models: Case of power cut due to extreme weather events in Norway | |
| CN106060077A (en) | Ocean network security risk assessment system | |
| Vass et al. | Probabilistic shared risk link groups modeling correlated resource failures caused by disasters | |
| Evans et al. | Mapping urban infrastructure interdependencies and fuzzy risks | |
| Liu et al. | Internet of things based solutions for transport network vulnerability assessment in intelligent transportation systems | |
| Mohajerani et al. | Cyber-related risk assessment and critical asset identification within the power grid | |
| Forsberg et al. | Power grid vulnerability analysis using complex network theory: A topological study of the Nordic transmission grid | |
| Kayhani et al. | Estimating the annual probability of failure using improved progressive incremental dynamic analysis of structural systems | |
| CN115577548A (en) | Method, apparatus and medium for analyzing power communication transmission network based on digital twin | |
| Poljanšek et al. | GIS-based method to assess seismic vulnerability of interconnected infrastructure: A case of EU gas and electricity networks | |
| CN106528795A (en) | Data mining method and apparatus |
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 |
Application publication date: 20200103 |
|
| RJ01 | Rejection of invention patent application after publication |