CN106612208A - Method and system for determining operational quality of communication network of power enterprise - Google Patents
Method and system for determining operational quality of communication network of power enterprise Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/091—Measuring contribution of individual network components to actual service level
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
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- H04L43/55—Testing of service level quality, e.g. simulating service usage
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Abstract
The invention discloses a method for determining the operational quality of a communication network of a power enterprise. The method comprises that the value of each critical index of a sample unit is obtained; the values of the critical indexes are substituted into an operational quality function G, and the value of the operational quality Gi of the corresponding sample unit is calculated; and the operational quality of the communication network of the sample unit is determined via Gi. The operational quality of the communication network of the sample unit is in position correlation with the value of G. According to the invention, different influential factors of operation are integrated, the reasonable operational quality function is constructed, the value of the operational quality function is used to evaluate the operational quality of the communication network of the sample unit, and the visual complete method and system for evaluating the operational quality of the communication network of the power enterprise objectively are provided.
Description
Technical Field
The present invention is in the field of quality of operation management, and more particularly, to a method and system for determining the quality of operation of a power enterprise communications network.
Background
Power utility communication networks are an important infrastructure for power systems. The method realizes the operation quality evaluation and comparative analysis of the power communication network among the units in the power enterprise and among the enterprises in the power industry, and has important significance for improving the power communication planning, construction and operation level.
Currently, some methods for evaluating the operation quality of the power communication network have been proposed by academia, but there are still many problems to be solved in evaluating factors and related evaluation models, which are mainly reflected in:
(1) the evaluation factors are not comprehensive enough, and the consideration of comprehensive factors from the enterprise perspective is lacked;
(2) the evaluation factors lack stability, and the factors comprise a plurality of medium-short term policy factors with large variation, which are not beneficial to longitudinal comparison;
(3) the evaluation factors lack effective playing and negotiation, the existing evaluation factors directly adopt and trust data decided or reported by decision managers, executives and supervisors, and lack effective communication and confirmation, the quality of the data is not high, and the approximation degree of the real network state is not enough;
(4) the selected evaluation mathematical model is mainly based on experience and lacks of rationality verification and analysis;
(5) the association between the evaluation result and the index value and the management target is too simple, mostly non-monotonic relation or simple linear relation, and the association between the evaluation result and the index value cannot be deeply reflected.
Based on the analysis, the stability and the authenticity of the evaluation factors are comprehensively considered aiming at the characteristics of the power business communication network, a reasonable and verifiable mathematical model is constructed, the network operation quality of the power communication network can be more accurately and effectively determined, and good theoretical support is provided for objectively evaluating the operation and maintenance level of a power enterprise and constructing a reasonable evaluation index system.
Disclosure of Invention
To solve the above problem, according to an aspect of the present invention, there is provided a method for determining an operation quality of a power enterprise communication network, comprising:
obtaining the value of each key index in a sample unit;
substituting the value of the key index into a preset running quality function G, and calculating the running quality G of a corresponding sample unitiA value of (d);
by said GiDetermining the operation quality of the communication network of the sample unit;
wherein, the operation quality of the communication network in sample unit is positively correlated with the value of G.
Preferably, the criticality index is quantized from a plurality of predetermined criticality index types, wherein the plurality of criticality index types include: the system comprises a communication system investment class, a communication system internal stock resource and use class, a communication system internal management and operation class and a communication system external service class.
Preferably, the communication system investment class comprises an investment deviation rate indicator; the internal stock resources and the use classes of the communication system comprise an optical cable utilization deviation rate index and a communication equipment utilization deviation rate index; the internal management and operation class of the communication system comprises a communication equipment operation deviation rate index and an optical cable operation deviation rate index; and the communication system includes a reliability target completion deviation rate indicator for the external service class.
Preferably, the operation quality function G is composed of each of a critical index, an adjustment factor K and a trust factor FtThe product of (a).
Preferably, the adjustment factor K functions to bring the running mass function value in sample units within a preset range.
Preferably, the trust factor is the trust degree of an appraiser on each item of critical index data reported by a sample unit, and the value range of the trust factor is [0, 1 ].
Preferably, when the value of any one key index in the sample unit is less than or equal to 0.001, the value of the key index is set to 0.001 when the running quality function calculation is performed.
According to another aspect of the present invention, there is provided a system for determining the operational quality of a power enterprise communications network, comprising:
the acquisition unit is used for acquiring the value of each key index in a sample unit;
a calculating unit for substituting the value of the key index into a preset running quality function G and calculating the running quality G of a corresponding sample unitiA value of (d);
evaluation unit by said GiDetermining the operation quality of the communication network of the sample unit;
wherein, the operation quality of the communication network in sample unit is positively correlated with the value of G.
Preferably, the criticality index is quantized from a plurality of predetermined criticality index types, wherein the plurality of criticality index types include: the system comprises a communication system investment class, a communication system internal stock resource and use class, a communication system internal management and operation class and a communication system external service class.
Preferably, the communication system investment class comprises an investment deviation rate indicator; the internal stock resources and the use classes of the communication system comprise an optical cable utilization deviation rate index and a communication equipment utilization deviation rate index; the internal management and operation class of the communication system comprises a communication equipment operation deviation rate index and an optical cable operation deviation rate index; and the communication system includes a reliability target completion deviation rate indicator for the external service class.
Preferably, the operation quality function G is composed of each of a critical index, an adjustment factor K and a trust factor FtThe product of (a).
Preferably, the adjustment factor K functions to bring the running mass function value in sample units within a preset range.
Preferably, the trust factor is the trust degree of an appraiser on each item of critical index data reported by a sample unit, and the value range of the trust factor is [0, 1 ].
Preferably, when the value of any one key index in the sample unit is less than or equal to 0.001, the value of the key index is set to 0.001 when the running quality function calculation is performed.
Aiming at the current situation that the current power enterprise communication network lacks an operation quality evaluation method, lacks consideration of comprehensive factors and a reasonable mathematical evaluation function, the method integrates various operation influence factors, constructs a reasonable operation quality function according to four major indexes, namely an enterprise unit input index, a communication system internal stock resource and a use index, a communication system internal management and operation index and a communication system external service index, evaluates the communication network operation quality of a sample unit through an operation quality function value, and provides a method and a system with intuition and integrity for objectively evaluating the communication operation quality of a power enterprise.
Drawings
A more complete understanding of exemplary embodiments of the present invention may be had by reference to the following drawings in which:
FIG. 1 is a flow diagram of a method for determining the operational quality of an electric power enterprise communications network in accordance with a preferred embodiment of the present invention; and
fig. 2 is a block diagram of a system for determining the operational quality of an electric power enterprise communications network, in accordance with a preferred embodiment of the present invention.
Detailed Description
The exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the present invention may be embodied in many different forms and is not limited to the embodiments described herein, which are provided for complete and complete disclosure of the present invention and to fully convey the scope of the present invention to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the invention. In the drawings, the same units/elements are denoted by the same reference numerals.
Unless otherwise defined, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Further, it will be understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
Fig. 1 is a flow chart of a method for determining the operational quality of a power enterprise communications network, in accordance with a preferred embodiment of the present invention. As shown in fig. 1, the operation quality of the communication network in sample units is determined according to the obtained operation quality value by obtaining the value of each key index in sample units and substituting the value into the operation quality function.
In step 101, the value of each critical index in sample units is first obtained. Preferably, the criticality index is quantized from a plurality of predetermined criticality index types, wherein the plurality of criticality index types include: the system comprises a communication system investment class, a communication system internal stock resource and use class, a communication system internal management and operation class and a communication system external service class. Preferably, the communication system investment class comprises an investment deviation rate indicator; the internal stock resources and the use classes of the communication system comprise an optical cable utilization deviation rate index and a communication equipment utilization deviation rate index; the internal management and operation class of the communication system comprises a communication equipment operation deviation rate index and an optical cable operation deviation rate index; and the communication system includes a reliability target completion deviation rate indicator for the external service class. Because the invention focuses on the operation quality of the communication network, factors such as short-term policy regulation and control, environmental change and the like of a power enterprise communication system management department are ignored when a key index is selected. The method for quantifying each criticality index comprises the following steps:
(1) communication system investment classes
The communication system investment class comprises investment deviation rate indexes, and the quantification method comprises the following steps:
the input index of each sample unit of the enterprise is represented by X1, and the calculation formula is as follows:
wherein the investment refers to the sum of capital investment and cost investment; the staff points to sign staff directly;
enterprise sample unit investment index X1iIs denoted by M1 and is expressed as:
wherein N is the unit total number of subordinate samples (or the unit total number of subordinate samples), and the index is the accounting of the superior management unit;
the unit input deviation index D1 of each sampleiInputting index X1 for each sample unitiThe square of the difference with M1, expressed as:
D1i＝(X1i-M1)2
and the index is the upper management unit accounting.
(2) Communication system internal stock resource and usage class
The internal stock resources and the use classes of the communication system comprise an optical cable utilization deviation rate index and a communication equipment utilization deviation rate index, wherein the optical cable utilization deviation rate index quantification method comprises the following steps:
utilization index X2 of optical cable of each sample unitiExpressed as:
X2itotal number of unit optical cable/total exit bandwidth of unit communication equipment
It should be understood that the total number of the unit optical cables is the number of all the optical cables laid (erected) and the total bandwidth of the outlet of the unit communication equipment is the outlet bandwidth of all the unit communication equipment, including the backbone network carrier and the microwave communication equipment, but not including the switching equipment.
The average number index M2 for fiber optic cable utilization in the enterprise sample unit is expressed as:
wherein N is the unit total number of subordinate samples (or the unit total number of subordinate samples), and the index is the accounting of the superior management unit;
the ith sample unit cable utilizes the deviation ratio index D2iExpressed as:
D2i＝X2i/M2
the index is calculated by the upper management unit.
The method for quantizing the deviation rate index by the communication equipment comprises the following steps:
utilization index X3 of communication equipment of each sample unitiExpressed as:
where N1 is the total number of communication devices (excluding switching devices) per unit, fjAn impact weight for the jth communication device, defined as:
the average utilization index M3 of the communication devices in the enterprise sample unit is defined as:
wherein N is the unit total number of subordinate samples (or the unit total number of subordinate samples), and the index is the accounting of the superior management unit;
the ith sample unit communication device utilizes the deviation ratio index D3iDefined as:
D3i＝(X3i-M3)2
the index is calculated by the upper management unit.
(3) Internal management and operation class of communication system
The internal management and operation class of the communication system comprises a communication equipment operation deviation rate index and an optical cable operation deviation rate index, wherein the communication equipment operation deviation rate index quantification method comprises the following steps:
operation rate index X4 for each sample unit communication deviceiThe definition is as follows:
where N1 is the total number of communication devices (without switching device), fjAn impact weight for the jth communication device, defined as:
the average operation rate index M4 of the communication devices of the enterprise sample unit is defined as follows:
wherein N is the unit total number of subordinate samples (or the unit total number of subordinate samples), and the index is the accounting of the superior management unit;
ith sample unit communication device operating deviationRate index D4iThe definition is as follows:
D4i＝(X4i-M4)2
the index is calculated by the upper management unit.
The method for quantizing the operation deviation rate index of the optical cable comprises the following steps:
operation rate index X5 of communication optical cable of each sample unit of enterpriseiIt is defined as follows:
wherein N2 is the total number of optical cables;
the average operation rate index M5 of the communication optical cable in the enterprise sample unit is defined as:
wherein N is the unit total number of subordinate samples (or the unit total number of subordinate samples), and the index is the accounting of the superior management unit;
sample unit communication cable operating deviation ratio index D5iDefined as:
D5i＝(X5i-M5)2
the index is calculated by the upper management unit.
(4) Communication system external service class
The communication system comprises a reliability target completion deviation rate index for external service classes, and the quantization method comprises the following steps:
communication service reliability X6 of each sample unit of enterpriseiThe definition is as follows:
wherein,
determining a communication system reliability target T6 according to the annual work target of the power enterprise, wherein the value range of T6 is (0, 1);
the translation quantity S6 is Fs abs (min { X6i }), wherein Fs is a reward and penalty factor, the value range is [1.01-1.50], the smaller the value of Fs is, the more the indicator reported by the examiner on the sample unit is penalized, and the larger the value of Fs is, the more the indicator reported by the examiner on the sample unit is awarded; abs (min { X6i }) represents the absolute value of the value at the minimum of X6 i.
(ii) th sample reliability target completion deviation ratio D6iDefined as:
D6i＝X6i-T6+S6
it should be appreciated that the communication system collects the reliability data of the external service from the accident investigation report data and the planned outage and repair records and work reports, and thus the planning management and the accident investigation are required to be carefully made and recorded by each sample unit of the enterprise.
In step 102, the value of the critical index in a sample unit is substituted into the running quality function G, and the running quality G of the corresponding sample unit is calculatediThe value of (c). Preferably, the operation quality function G is composed of each of the critical index, the adjustment factor K and the trust factor FtThe product of (a). The formula is defined as:
Gi＝K×Ft×D1i-P1×D2i-P2×D3i-P3×D4i-P4×D5i-P5×D6iP6
wherein G isiIs the ith sampleA running quality value in units; the sum of P1+ P2+ P3+ P4+ P5+ P6 is 1, which can be adjusted according to the actual situation of the sample unit, but the sum of P1 to P6 is always equal to 1. A selectable set of data is as follows: p1 ═ 0.2; p2 ═ 0.2; p3 ═ 0.2; p4 ═ 0.2; p5 ═ 0.1; p6 ═ 0.1.
Preferably, K is an adjustment factor, which acts to make the running quality function value of the sample unit fall within a preset range, for example, the preset range of the running quality function can be defined to be within 0 to 100, and then the calculation formula of K is:
K＝100÷(M1-0.2×M2-0.2×M3-0.2×M4-0.2×M5-0.1×(T60.1+1))
and replacing 100 in the K calculation formula according to the actually set operation quality function range.
Preferably, FtThe confidence factor is the confidence level of the appraiser to each item of key index data reported by the sample unit, and the value range of the confidence factor is [0, 1]. Wherein, the value of the trust factor is subjectively determined by the appraiser.
Preferably, when the value of any one key index in a sample unit is less than or equal to 0.001, the value of the key index is set to 0.001 when the operation quality function calculation is performed, so as to prevent each key index value from influencing the evaluation result of the operation quality of the communication network in the sample unit too low. For example:
when D1i<When the value is 0.001, D1i＝0.001；
When D2i<When the value is 0.001, D2i＝0.001；
When D3i<When the value is 0.001, D3i＝0.001；
When D4i<When the value is 0.001, D4i＝0.001；
When D5i<When the value is 0.001, D4i＝0.001。
In step 103, the operation quality of the communication network in sample units is determined from the operation quality values in sample units calculated in step 102. Since the operation quality of the communication network in the sample unit is positively correlated with the value of G, the operation quality of the communication network in the sample unit is higher as the operation quality value is closer to the maximum value of the preset operation quality function range.
The method 100 for determining the operation quality of the power enterprise communication network according to the preferred embodiment of the invention obtains the value of each key index of a sample unit, substitutes the value into the operation quality function, and judges the operation quality of the communication network of the sample unit according to the obtained operation quality value. The preferred embodiment of the invention integrates various operation influence factors, constructs a reasonable operation quality function, evaluates the operation quality of the communication network of a sample unit through the operation quality function value, and provides a method with intuition and integrity for objectively evaluating the communication operation quality of a power enterprise
Fig. 2 is a block diagram of a system for determining the operational quality of an electric power enterprise communications network, in accordance with a preferred embodiment of the present invention. As shown in fig. 2, the system 200 includes: an acquisition unit 201, a calculation unit 202, and an evaluation unit 203, wherein,
the obtaining unit 201 is used for obtaining the value of each critical index of a sample unit
The calculating unit 202 is configured to substitute the value of the critical indicator into the running quality function G, and calculate the running quality G of the corresponding sample unitiValue of (A)
The evaluation unit 203 passes the GiDetermining the operation quality of the communication network of the sample unit; wherein, the operation quality of the communication network in sample unit is positively correlated with the value of G.
Preferably, the criticality index is quantized from a plurality of predetermined criticality index types, wherein the plurality of criticality index types include: the system comprises a communication system investment class, a communication system internal stock resource and use class, a communication system internal management and operation class and a communication system external service class.
Preferably, the communication system investment class comprises an investment deviation rate indicator; the internal stock resources and the use classes of the communication system comprise an optical cable utilization deviation rate index and a communication equipment utilization deviation rate index; the internal management and operation class of the communication system comprises a communication equipment operation deviation rate index and an optical cable operation deviation rate index; and the communication system includes a reliability target completion deviation rate indicator for the external service class.
Preferably, the operation quality function G is composed of each of a critical index, an adjustment factor K and a trust factor FtThe product of (a).
Preferably, the adjustment factor K functions to bring the running mass function value in sample units within a preset range.
Preferably, the trust factor is the trust degree of an appraiser on each item of critical index data reported by a sample unit, and the value range of the trust factor is [0, 1 ].
Preferably, when the value of any one of the critical indexes in the sample unit is less than or equal to 0.001, the value of the critical index is set to 0.001 when the operation quality function calculation is performed, so as to prevent each critical index value from influencing the evaluation result of the operation quality of the communication network in the sample unit too low.
The system 200 for determining the operation quality of the power enterprise communication network according to the embodiment of the present invention corresponds to the method 100 for determining the operation quality of the power enterprise communication network according to another embodiment of the present invention, and is not described herein again.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The invention has been described with reference to a few embodiments. However, other embodiments of the invention than the one disclosed above are equally possible within the scope of the invention, as would be apparent to a person skilled in the art from the appended patent claims.
Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the technical field, unless explicitly defined otherwise herein. All references to "a/an/the [ device, component, etc ]" are to be interpreted openly as referring to at least one instance of said device, component, etc., unless explicitly stated otherwise. The steps of any method disclosed herein do not have to be performed in the exact order disclosed, unless explicitly stated.
Claims (14)
1. A method for determining the operational quality of a power enterprise communications network, comprising:
obtaining the value of each key index in a sample unit;
substituting the value of the key index into a preset running quality function G, and calculating the running quality G of a corresponding sample unitiA value of (d);
by said GiDetermining the operation quality of the communication network of the sample unit;
wherein, the operation quality of the communication network in sample unit is positively correlated with the value of G.
2. The method of claim 1, wherein the criticality index is quantified for a predetermined plurality of criticality index types, wherein the plurality of criticality index types comprises: the system comprises a communication system investment class, a communication system internal stock resource and use class, a communication system internal management and operation class and a communication system external service class.
3. The method of claim 2, wherein the communication system investment classes comprise investment deviation rate indicators; the internal stock resources and the use classes of the communication system comprise an optical cable utilization deviation rate index and a communication equipment utilization deviation rate index; the internal management and operation class of the communication system comprises a communication equipment operation deviation rate index and an optical cable operation deviation rate index; and the communication system includes a reliability target completion deviation rate indicator for the external service class.
4. The method of claim 1, wherein the running quality function G is defined by each of a criticality index, an adjustment factor K, and a confidence factor FtThe product of (a).
5. The method of claim 4, wherein the adjustment factor K acts to bring the running mass function value in sample units within a preset range.
6. The method of claim 4, wherein the trust factor is a trust level of the examiner on each item of critical index data reported by a sample unit, and the value range of the trust factor is [0, 1 ].
7. The method of claim 1, wherein when the value of any one of the critical indicators in the sample unit is 0.001 or less, the value of the critical indicator is set to 0.001 when performing the running quality function calculation.
8. A system for determining the operational quality of a power enterprise communications network, comprising:
the acquisition unit is used for acquiring the value of each key index in a sample unit;
a calculating unit for substituting the value of the key index into a preset running quality function G and calculating the running quality G of a corresponding sample unitiA value of (d);
evaluation unit by said GiDetermining the operation quality of the communication network of the sample unit;
wherein, the operation quality of the communication network in sample unit is positively correlated with the value of G.
9. The system of claim 8, wherein the criticality index is quantified for a predetermined plurality of criticality index types, wherein the plurality of criticality index types comprises: the system comprises a communication system investment class, a communication system internal stock resource and use class, a communication system internal management and operation class and a communication system external service class.
10. The system of claim 9, wherein the communication system investment classes include investment deviation rate indicators; the internal stock resources and the use classes of the communication system comprise an optical cable utilization deviation rate index and a communication equipment utilization deviation rate index; the internal management and operation class of the communication system comprises a communication equipment operation deviation rate index and an optical cable operation deviation rate index; and the communication system includes a reliability target completion deviation rate indicator for the external service class.
11. The system of claim 8, wherein the running quality function G is defined by each of a criticality index, an adjustment factor K, and a confidence factor FtThe product of (a).
12. The system of claim 11, wherein the adjustment factor K functions to bring the running mass function value in sample units within a preset range.
13. The system of claim 11, wherein the trust factor is a trust level of the examiner on each item of critical index data reported by a sample unit, and the value range of the trust factor is [0, 1 ].
14. The system of claim 8, wherein when the value of any one of the critical indicators in the sample unit is 0.001 or less, the value of the critical indicator is set to 0.001 when performing the running quality function calculation.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101189895A (en) * | 2005-06-02 | 2008-05-28 | 日本电气株式会社 | Abnormality detecting method and system, and upkeep method and system |
| CN105120486A (en) * | 2015-09-11 | 2015-12-02 | 中国联合网络通信集团有限公司 | Method and device for evaluating communication network efficiency |
| WO2016004361A1 (en) * | 2014-07-02 | 2016-01-07 | North Carolina A&T State University | System and method for assessing smart power grid networks |
| CN105471624A (en) * | 2015-11-16 | 2016-04-06 | 国网天津市电力公司 | Comprehensive evaluation method for access of communication equipment to terminal communication access network |
| CN205320084U (en) * | 2016-01-26 | 2016-06-15 | 中国电力工程顾问集团华东电力设计院有限公司 | Powerline network fail safe nature ration evaluation device |
-
2016
- 2016-12-20 CN CN201611186278.8A patent/CN106612208A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101189895A (en) * | 2005-06-02 | 2008-05-28 | 日本电气株式会社 | Abnormality detecting method and system, and upkeep method and system |
| WO2016004361A1 (en) * | 2014-07-02 | 2016-01-07 | North Carolina A&T State University | System and method for assessing smart power grid networks |
| CN105120486A (en) * | 2015-09-11 | 2015-12-02 | 中国联合网络通信集团有限公司 | Method and device for evaluating communication network efficiency |
| CN105471624A (en) * | 2015-11-16 | 2016-04-06 | 国网天津市电力公司 | Comprehensive evaluation method for access of communication equipment to terminal communication access network |
| CN205320084U (en) * | 2016-01-26 | 2016-06-15 | 中国电力工程顾问集团华东电力设计院有限公司 | Powerline network fail safe nature ration evaluation device |
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