CN108734404A - A kind of intelligent grid information management system complexity evaluation method and system - Google Patents
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Abstract
The invention discloses a kind of intelligent grid information management system complexity evaluation method and system.System includes data acquisition module, evaluation module and storage module.Appraisal procedure includes the following steps：1, in terms of system main website layer, communication network layer and three, intelligent terminal layer, intelligent grid information management system complexity evaluation index system is established；2, data acquisition module obtains index of correlation data system automatic collection or by way of being manually entered, and by data storage to storage module；3, evaluation module calculates the structure entropy that each complexity measures factor again；4, evaluation module is based on multidimensional entropy space scale theory, computational intelligence electric network information management system complexity component and system overall complexity assessed value；5, evaluation module exports assessment result to storage module.The present invention can fully assess the complexity of intelligent grid information management system, be convenient for designer's comparison system design scheme, the operation management cost of serving of reasonable estimation system.
Description
Technical field
The present invention relates to system complexity evaluation areas, more particularly to a kind of intelligent grid information management system complexity is commented
Estimate method and system.
Background technology
Intelligent grid information management system is the Important Platform that power grid realizes power generation and electricity consumption two-way interaction, is intelligent grid
The key point of information physical fusion, with the expansion of the iterative method and power grid scale of intelligent grid construction, intelligent grid letter
Geometric growth is presented in the complexity for ceasing management system.But China is complicated for intelligent grid information management system at present
The understanding of property feature is not generally still deep enough, and the research that its complexity is quantified and assessed even more urgently is carried out.Therefore,
Quantitative evaluation is carried out to the complexity of intelligent grid information management system, quantization ginseng can not only be provided for the design optimization of system
It examines, also has great significance for its service pricing, O&M cost estimation.
In view of above-mentioned deficiency, the present invention goes out from three levels such as system main website layer, communication network layer, intelligent terminal layer
Hair, using the complexity evaluation method based on structure entropy, each complexity of quantitative evaluation intelligent grid information management system is surveyed
Amount factor, and it is theoretical using " management work(" and multidimensional entropy space scale, further provide the intelligence electricity based on multidimensional structure entropy
Information management system complexity evaluation method and system.
Invention content
The shortcomings that it is an object of the invention to overcome the prior art and deficiency, propose a kind of intelligent grid information management system
Complexity evaluation method and system.
The purpose of the present invention is realized by the following technical solution.
A kind of intelligent grid information management system complexity evaluation system, it includes：
Data acquisition module, the corresponding data of acquisition intelligent grid information management system complexity evaluation index system,
It is manually entered part index number data for staff.
Evaluation module, using the complexity evaluation method based on structure entropy, computational intelligence electric network information management system is each
Complexity measures the structure entropy of factor, and theoretical using " management work(" and multidimensional entropy space scale, and intelligent grid is calculated
The each complexity component and system overall complexity assessed value of information management system.
Storage module stores data and assessment result.
Using a kind of appraisal procedure of intelligent grid information management system complexity evaluation system, including following step
Suddenly：
S1, in terms of system main website layer, communication network layer and three, intelligent terminal layer, establish intelligent grid message tube
Manage system complexity evaluation index system；
S2, data acquisition module obtain index of correlation data system automatic collection or by way of being manually entered, and
By data storage to storage module；
S3, evaluation module calculate the structure entropy that each complexity measures factor again；
S4, evaluation module are based on multidimensional entropy space scale theory, computational intelligence electric network information management system complexity component
With system overall complexity assessed value；
S5, evaluation module export assessment result to storage module.
Further, the intelligent grid information management system complexity evaluation index system that the step S1 is referred to, specifically
Contain three complexity measurement field such as system main website layer, communication network layer, intelligent terminal layer.System main website layer includes
5 complexity such as data entity collection number, data relationship set number, data attribute number, number of tuples, access total amount measure factors；Communication
Network layer includes that 3 complexity such as communication equipment quantity, communication device types and communication packet loss measure factor；Intelligent terminal
Mechanical floor includes that 3 complexity such as terminal device quantity, terminal equipment type, data acquiring frequency measure factor.
Further, each complexity that the step S3 is referred to measures the structure entropy computational methods of factor, specific steps
It is as follows：
(1) entity set number
Entity is that other objects " things " or " object " are different from real world.In general, with mutually similar
The entity of type and same nature (or attribute) can be classified as an entity set.It, can be ammeter, transformer, concentrator etc. in design
These specific equipment regard entity as, equipment day freezing data, charge per month situation, more exchange device these abstract concepts can also be regarded as
Entity.In the E-R models of intelligent grid information management system, entity is indicated with box, if entity set number is ne, then entity set
Structure entropy be：
(2) relationship set number
Contact is interrelated between entity and entity.The type of contact has one-to-one, one-to-many, many-one and multipair
More four kinds.Same class contact constitutes relationship set.Relationship set number refers to the quantity of relationship set in E-R models, i.e. diamond shape in E-R models
Quantity.If relationship set number is n in intelligent grid information management systemr, structure entropy is：
(3) data attribute number
Attribute refers to property possessed by each individual in entity set or relationship set.Entity or the attribute value of contact are storages
In the important component of system data, each entity and contact have attribute.As the attribute in concentrator entity set has：It concentrates
Device number, communication modes, protocol type, meter reading interval etc..These attributes indicate that each entity stores in this entity set
Similar information, but each entity attributes have respective value.
Data attribute number refers to the sum of the quantity of attribute of each entity set and relationship set in E-R models, i.e., ellipse in E-R figures
The quantity of circle symbol.If sharing n in intelligent grid information management system E-R modelspA entity set and relationship set, then np=ne+
nr, the attribute number of i-th of entity set or relationship set is ni, then the structure entropy of total attribute number be：
(4) number of tuples
In intelligent grid information management system, number of tuples corresponds to the data volume of database purchase, is system main website layer
The direct acting factor of complexity.A line in one tuple i.e. tables of data.Each tuple in one tables of data is equal
There are one only reference numerals (recording mechanism).If intelligent grid information management system shares n tables of data, wherein the i-th number
Number of tuples according to table is nti, then the structure entropy of the data volume in table i be：
(5) total amount is accessed
After the static data complexity to system main website layer data library is analyzed, dynamic data complexity also must
It must take into account.The dynamic data complexity of system main website layer is mainly shown as user to each page of intelligent grid information management system
The data manipulation in face, thus its complexity can be analyzed with access total amount.
In time of measuring, user is to access always to the access operation quantity of each page of intelligent grid information management system
Amount.If intelligent grid information management system, in a certain section of time of measuring, user is to each page of intelligent grid information management system
Access total amount be nv, then the structure entropy for accessing total amount is：
(6) communication equipment quantity
If the quantity of communication equipment is n in intelligent grid information management systemc, structure entropy is：
(7) communication device types
If having n in intelligent grid information management systemtcKind communication equipment, then the structure entropy of communication device types is：
(8) packet loss is communicated
If the communication packet loss of i-th kind of communication equipment is ri, then the structure entropy of communication apparatus communication packet loss is：
(8) intelligent terminal quantity
If the quantity of intelligent terminal is n in intelligent grid information management systema, structure entropy is：
(9) intelligent terminal type
If having n in intelligent grid information management systemtaKind intelligent terminal, then the structure of intelligent terminal type
Entropy is：
(10) data acquiring frequency
If the data acquiring frequency of i-th kind of intelligent terminal is fi, then the data acquiring frequency of intelligent terminal
Structure entropy be：
Further, the intelligent grid information management system complexity component and system that the step S4 is referred to are whole complicated
Property assessment value calculating method, be as follows：
If eiComplexity vector, e are tieed up for a n of systemi=(ei1, ei2... ..., ein), wherein einExpression system i-th
The structure entropy of each complexity profile of layer.According to Euclid's relationship in multi-C vector space, system complexity component is obtained
Calculation formula is as follows：
It, can will be short with 0 element for the less row vector of columns when the structure entropy row matrix columns of system is inconsistent
Row element polishing, then the form of tensor is：||Φi| |=| | ei| |, | | Φi| | it is the unified structure of i-th layer of system
Entropy.
If the Complexity Assessment component of each level of system has same alike result, the complexity of whole system can be asked to unite with following formula
One assessed value：
In formula, | | ei+1-ei| | it is i+1 layers of system generated complexity information content after i layers, m is the total layer of system
Number.
If the Complexity Assessment component of each level of system all has different attributes, the complexity of whole system is calculated
Uniformly the method for assessed value is：
When existing simultaneously part in system there is complexity vector with different attribute of same alike result and part, have
There is the vector of same alike result its generated complexity information content can be calculated using formula (13), the vector profit with different attribute
The complexity information content of its generation is calculated with formula (14), both final be added can obtain system overall complexity assessed value.
Compared with prior art, the present invention haing the following advantages and technique effect：
1, a kind of intelligent grid information management system complexity evaluation method and system that the present invention designs, can calculate intelligence
Each complexity component and system overall complexity assessed value of energy electric network information management system, assess system from part to whole synthesis
The complexity of system provides the quantization reference index of clear and definite for design and operation personnel, convenient for the preferred system of designer's comparison
System design scheme, reasonable estimation operation management cost of serving have practical implementation value；
2, the intelligent grid information management system complexity evaluation index system that the present invention establishes combines intelligent grid letter
The characteristics of ceasing management system, from three levels such as system main website layer, communication network layer and intelligent terminal layer, comprehensively
The complexity features for reflecting system have certain reference for system complexity assessment；
3, the complexity evaluation method based on structure entropy that the present invention uses calculates simply and accurately and effectively each
Complexity measures the complexity information content of factor.
Description of the drawings
Fig. 1 is a kind of flow chart of intelligent grid information management system complexity evaluation method in example；
Fig. 2 is the intelligent grid information management system complexity evaluation index system figure that step S1 is referred in example.
Fig. 3 is a kind of system construction drawing of intelligent grid information management system complexity evaluation method described in example.
Fig. 4 is that intelligent grid information management system part E-R schemes in example.
Specific implementation mode
Present invention will now be described in further detail with reference to the embodiments and the accompanying drawings, but embodiments of the present invention are unlimited
In this, if it is noted that the following process for having not special detailed description, is that those skilled in the art can refer to the prior art
Realize or understand.
Attached drawing 1 is a kind of estimation flow figure of intelligent grid information management system complexity evaluation method and system, substantially
Step is：1, in terms of system main website layer, communication network layer and three, intelligent terminal layer, intelligent grid information management is established
System complexity evaluation index system；2, data acquisition module obtains phase system automatic collection or by way of being manually entered
Achievement data is closed, and by data storage to storage module；3, evaluation module calculates the structure entropy that each complexity measures factor again；
4, evaluation module is based on multidimensional entropy space scale theory, and computational intelligence electric network information management system complexity component and system are whole
Complexity evaluation value；5, evaluation module exports assessment result to storage module.
Attached drawing 2 is the intelligent grid information management system complexity evaluation index system figure that step S1 is referred to, particular content
For：
Intelligent grid information management system complexity evaluation index system contains system main website layer, communication network layer, intelligence
Three complexity measurement field such as energy terminal device layer.System main website layer includes data entity collection number, data relationship set number, data
5 complexity such as attribute number, number of tuples, access total amount measure factors；Communication network layer include communication equipment quantity, communication set
3 complexity such as standby type and communication packet loss measure factor；Intelligent terminal layer includes that terminal device quantity, terminal are set
3 complexity such as standby type, data acquiring frequency measure factor.
Attached drawing 3 is a kind of intelligent grid information management system complexity evaluation system construction drawing, is specifically included：A kind of intelligence
Electric network information management system complexity evaluation method and system, including：Data acquisition module, acquisition intelligent grid information management system
The corresponding data of complexity evaluation index system of uniting, also are available for staff and are manually entered part index number data；Evaluation module, profit
With the complexity evaluation method based on structure entropy, each complexity of computational intelligence electric network information management system measures the structure of factor
Entropy, and it is theoretical using " management work(" and multidimensional entropy space scale, each multiple of intelligent grid information management system is calculated
Polygamy component and system overall complexity assessed value；Storage module stores data and assessment result.
Embodiment
It is further described with reference to example, the intelligent grid information management system for choosing certain power supply bureau of city herein is
Research object carries out the implementation analysis of the present invention.
First, from three complexity measurement field such as system main website layer, communication network layer, intelligent terminal layer, intelligence is established
It can electric network information management system complexity evaluation index system.Wherein, system main website layer includes data entity collection number, data connection
5 complexity such as assembly number, data attribute number, number of tuples, access total amount measure factors；Communication network layer includes communication equipment
3 complexity such as quantity, communication device types and communication packet loss measure factor；Intelligent terminal layer includes terminal device
3 complexity such as quantity, terminal equipment type, data acquiring frequency measure factor.
The intelligent grid information management system part E-R figures of certain power supply bureau of city as shown in Fig. 4 (use in E-R models by specialization
It is directed toward from specialization entity and is indicated by the hollow arrow line of specialization entity, be called ISA contacts).
The data calculated for complexity evaluation the system items count, and utilize the calculating pair of formula (1)~(11)
The structure entropy of complexity profile is answered, the results are shown in Table 1.
1 complexity data statistic of table
By entropy result of calculation, the structure entropy value matrix that can form the system is as follows：
Each complexity component can be calculated by formula (12).By | | Φi| |=| | ei| | each layer unified structure entropy can be calculated, is calculated
The results are shown in Table 2：
2 complexity evaluation result of calculation of table
Because the attribute of each complexity vector is different, system overall complexity assessed value, which is calculated, by formula (14) is：
From system respectively layer by layer in from the point of view of complexity：The size of number of tuples and the complexity of system main website layer are closely related, adopt
Data are recorded while being conducive to carry out classification processing to data with multiple two-dimensional data tables, largely increase number
According to the complexity of amount, thus in the relationship that the database design phase both should suitably weigh, commented using the carried complexity of the present invention
Method and system are estimated to assess various scheme complexity；In communication network layer, it is multiple to communicate packet loss and communication equipment quantity
The major influence factors of polygamy, it is therefore desirable to which Unified Communication equipment standard improves the reliability of communication mode, reduces packet loss；
In intelligent terminal layer, terminal device quantity is necessarily increased with the development of intelligent grid, and WAMS and SCADA etc. is new
The popularization and application of a generation high-precision, high sample frequency system more make intelligent terminal layer become more sophisticated.
From the point of view of each layer complexity component, w1>w3>w2, system main website layer is the weight of storage processing whole system Data Data
Part is wanted, and to the key point of whole system operation, control, thus is system part the most complicated.At the same time, lead to
It is following inexorable trend that communication network layer and intelligent terminal layer are complicated with the development of technology and more, it is necessary to be made in advance
Determine all standard and requirement, standardized management is carried out when planning puts into new equipment, reduces management cost.
Intelligent grid information management system complexity evaluation is to develop intelligent grid at this stage, builds intelligent grid information
The most important theories research new content of management system is the premise of estimating system management O&M cost and efficiency.It is proposed by the present invention
A kind of intelligent grid information management system complexity evaluation method and system, go out from the framework of intelligent grid information management system
Hair, various dimensions in all directions calculate the complexity of system, open an intelligent grid information management system complexity
The brand-new angle of assessment.
The present invention is according to each complexity component w1、w2、w3, in combination with system overall complexity assessed value | | C | |T, can be with
From part to the complexity of whole synthesis evaluation system, value is bigger, indicates that system structure is more complicated.This is design and operation personnel
The quantization reference index of clear and definite is provided, optimum decision system design scheme, reasonable estimation O&M pipe are compared convenient for designer
Cost of serving is managed, there is practical implementation value, can be promoted the use of within the scope of the production practices of bigger.
The above embodiment is a preferred embodiment of the present invention, but embodiments of the present invention are not by above-described embodiment
Limitation, it is other it is any without departing from the spirit and principles of the present invention made by changes, modifications, substitutions, combinations, simplifications,
Equivalent substitute mode is should be, is included within the scope of the present invention.
Claims (5)
1. a kind of intelligent grid information management system complexity evaluation system, it is characterised in that including：
Data acquisition module, for acquiring the corresponding data of intelligent grid information management system complexity evaluation index system, or
It is manually entered part index number data for staff；
Evaluation module utilizes the complexity evaluation method based on structure entropy, each complexity of computational intelligence electric network information management system
Property measure the structure entropy of factor, each complexity component and the system that intelligent grid information management system is calculated are integrally multiple
Polygamy assessed value；
Storage module stores data and assessment result.
2. using a kind of appraisal procedure of intelligent grid information management system complexity evaluation system described in claim 1,
It is characterized in that comprising the steps of：
S1, in terms of system main website layer, communication network layer and three, intelligent terminal layer, establish intelligent grid information management system
System complexity evaluation index system；
S2, data acquisition module obtain corresponding index data system automatic collection or by way of being manually entered, and will count
According to being stored into storage module；
S3, evaluation module calculate the structure entropy that each complexity measures factor again；
It is theoretical that S4, evaluation module are based on multidimensional entropy space scale, computational intelligence electric network information management system complexity component and is
System overall complexity assessed value；
S5, evaluation module export assessment result to storage module.
3. appraisal procedure according to claim 2, it is characterised in that：The intelligent grid information management that the step S1 is referred to
System complexity evaluation index system includes：Three system main website layer, communication network layer, intelligent terminal layer complexity measure
Domain；System main website layer includes data entity collection number, data relationship set number, data attribute number, number of tuples, accesses total amount 5 again
Polygamy measures factor；Communication network layer includes that communication equipment quantity, communication device types and communication 3 complexity of packet loss measure
Factor；Intelligent terminal layer include terminal device quantity, 3 terminal equipment type, data acquiring frequency complexity measure because
Element.
4. appraisal procedure according to claim 2, it is characterised in that：The step S3 is specifically included：
(1) entity set number
Entity with same type and same nature or attribute can be classified as an entity set；In design, ammeter, transformation
These specific equipment of device, concentrator regard entity as, also can equipment day freezing data, charge per month situation, more exchange device these pumping
As concept regards entity as；In the E-R models of intelligent grid information management system, entity is indicated with box, if entity set number is
ne, then the structure entropy of entity set be：
(2) relationship set number
Contact is interrelated between entity and entity；The type of contact has one-to-one, one-to-many, many-one and multi-to-multi four
Kind；Same class contact constitutes relationship set；Relationship set number refers to the quantity of relationship set in E-R models, i.e., the number of diamond shape in E-R models
Amount；If relationship set number is n in intelligent grid information management systemr, structure entropy is：
(3) data attribute number
Attribute refers to property possessed by each individual in entity set or relationship set；Entity or the attribute value of contact are stored in and are
The important component for data of uniting, each entity and contact have attribute；Each entity attributes have respective value；
Data attribute number refers to the sum of the quantity of attribute of each entity set and relationship set in E-R models, i.e., oval in E-R figures
The quantity of symbol；If sharing n in intelligent grid information management system E-R modelspA entity set and relationship set, then np=ne+nr,
The attribute number of i-th of entity set or relationship set is ni, then the structure entropy of total attribute number be：
(4) number of tuples
In intelligent grid information management system, number of tuples corresponds to the data volume of database purchase, is that system main website layer is complicated
The direct acting factor of property；A line in one tuple i.e. tables of data；Each tuple in one tables of data has one
A only reference numeral, that is, recording mechanism；If intelligent grid information management system shares n tables of data, wherein i-th tables of data
Number of tuples be nti, then the structure entropy of the data volume in table i be：
(5) total amount is accessed
The dynamic data complexity of system main website layer is mainly shown as number of the user to each page of intelligent grid information management system
According to operation, thus its complexity can be analyzed with access total amount；
In time of measuring, user is access total amount to the access operation quantity of each page of intelligent grid information management system；
If intelligent grid information management system is in one section of time of measuring, access of the user to each page of intelligent grid information management system
Total amount is nv, then the structure entropy for accessing total amount is：
(6) communication equipment quantity
If the quantity of communication equipment is n in intelligent grid information management systemc, structure entropy is：
(7) communication device types
If having n in intelligent grid information management systemtcKind communication equipment, then the structure entropy of communication device types is：
(8) packet loss is communicated
If the communication packet loss of i-th kind of communication equipment is ri, then the structure entropy of communication apparatus communication packet loss is：
(8) intelligent terminal quantity
If the quantity of intelligent terminal is n in intelligent grid information management systema, structure entropy is：
(9) intelligent terminal type
If having n in intelligent grid information management systemtaKind intelligent terminal, then the structure entropy of intelligent terminal type
For：
(10) data acquiring frequency
If the data acquiring frequency of i-th kind of intelligent terminal is fi, then the structure of the data acquiring frequency of intelligent terminal
Entropy is：
5. appraisal procedure according to claim 2, it is characterised in that：The step S4 is specifically included：
If eiComplexity vector, e are tieed up for a n of systemi=(ei1, ei2... ..., ein), wherein einI-th layer of expression system is each multiple
The structure entropy of polygamy index；According to Euclid's relationship in multi-C vector space, the calculation formula of system complexity component is such as
Under：
It, can be with 0 element by the row of shortage for the less row vector of columns when the structure entropy row matrix columns of system is inconsistent
Element polishing, then the form of tensor is：||Φi| |=| | ei| |, | | Φi| | it is the unified structure entropy of i-th layer of system；
If the Complexity Assessment component of each level of system has same alike result, the complexity of whole system can be asked uniformly to comment with following formula
Valuation：
In formula, | | ei+1-ei| | it is i+1 layers of system generated complexity information content after i layers, m is the total number of plies of system；
If the Complexity Assessment component of each level of system all has different attributes, the complexity for calculating whole system is unified
The method of assessed value is：
When existing simultaneously part in system there is complexity vector with different attribute of same alike result and part, with phase
Vector with attribute can calculate its generated complexity information content using formula (13), and the vector with different attribute utilizes formula
(14) the complexity information content of its generation is calculated, it is both final to be added up to system overall complexity assessed value.
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