CN109063411A - It is a kind of based on system interoperability maturity assessment application, facility, data attribute metric tree calculation method - Google Patents
It is a kind of based on system interoperability maturity assessment application, facility, data attribute metric tree calculation method Download PDFInfo
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Abstract
The invention discloses a kind of applications based on system interoperability maturity assessment, facility, data attribute metric tree calculation method, firstly, extracting application, three facility, data attributes from U.S. information interoperability of system grade evaluation attribute；Then, for three attributes, each attribute interoperability evaluation index system is constructed respectively；The each index for the metric tree for influencing interoperability in terms of influencing the metric tree of interoperability, data attribute for application interoperation metric tree, facility attribute aspect later is handled, finally index is calculated and index result judgement process summarizes, completes the calculating to metric tree corresponding to interoperability core layer attribute.Method of the invention provides index calculating/judgment basis for the assessment for carrying out fixed guantity combining with fixed quality to system interoperability grade.
Description
Technical field
The present invention relates to systems engineering field and equipment architecture evaluation areas, more particularly to it is a kind of based on system interoperability at
The application of ripe degree assessment, facility, data attribute metric tree calculation method.
Background technique
With the development of Information System configuration, information exchange, information mutual communication between system, which become, obtains Information Superiority
Basis, therefore the research of interoperability of system obtains extensive concern.
Carrying out accurate measurement to interoperability is to solve the key factor of Interoperability, the existing method to interoperability measurement
In, Information Systems Interoperability grade (LISI) assessment that US Department of Defense proposes is a kind of method widely approved, LISI is proposed
The interoperability for leaving for measurement system from four regulation, application, facility, data attributes is horizontal.On the basis of LISI, both at home and abroad
Researcher is to the side such as Information Systems Interoperability attribute, interoperability Grade Model, the measurement of interoperability grade and assessment
Research is carried out in face.In existing interoperability grade evaluation studies, it is the assessment mode using qualitative analysis mostly, provides mutual behaviour
The capability model of work does not provide metric tree for interoperability application, facility, data attribute, and to each in three metric tree
Index provides the correlative study of calculating process/result judgement process.Also These parameters tree is not quantified in the prior art
With the qualitative assessment combined.
Summary of the invention
The purpose of the present invention is to provide a kind of applications based on system interoperability maturity assessment, facility, data attribute
Metric tree calculation method.
The technical solution for realizing the aim of the invention is as follows: it is a kind of based on system interoperability maturity assessment application, set
It applies, data attribute metric tree calculation method, comprising the following steps:
Step 1 extracts application, three facility, data attributes from U.S. information interoperability of system grade evaluation attribute；
Step 2 is directed to three attributes, constructs each attribute interoperability evaluation index system respectively；
Step 3, each index for application interoperation metric tree provide index value for the index that can quantitatively calculate
Calculation method；For the index of qualitative analysis, the decision process of index result is provided；Mutually behaviour is influenced in terms of the application attribute
Each two-level index in the metric tree for the property made includes application system scale, using interactive mode, integrated application characteristic；
Step 4 influences each two-level index in the metric tree of interoperability for facility attribute aspect, for that can quantify
The index of calculating provides the calculation method of index value；For the index of qualitative analysis, the decision process of index result is provided；Institute
Influenced in terms of stating facility attribute each two-level index in the metric tree of interoperability include facility robustness, agreement relevance grade and
Facility controllability；
Step 5 influences each two-level index in the metric tree of interoperability for data attribute aspect, for that can quantify
The index of calculating provides the calculation method of index value；For the index of qualitative analysis, the decision process of index result is provided；Institute
The each two-level index influenced in the metric tree of interoperability in terms of stating data attribute includes data element, data model, data
Message；
Step 6, in step 3, step 4 and step 5 index calculate and index result judgement process summarize, complete
Calculating to metric tree corresponding to interoperability core layer attribute.
Compared with prior art, the present invention its remarkable advantage are as follows: 1) present invention be directed to application, facility, data three attributes,
Each index calculating method in the corresponding metric tree of three attributes and each metric tree is had studied, index result judgement method is right
The assessment that system interoperability grade carries out fixed guantity combining with fixed quality provides index calculating/judgment basis；2) method of the invention
It is simple and easy, it is versatile.
The present invention will be further described in detail with reference to the accompanying drawings and detailed description.
Detailed description of the invention
Fig. 1 is application of the invention, facility, the corresponding metric tree calculation method flow chart of data attribute.
Specific embodiment
The present invention is will affect on the basis of a kind of index system construction method based on system interoperability maturity assessment
Six attributes of system interoperability are divided into core layer and auxiliary layer, and wherein core layer includes application, three facility, data attributes,
Auxiliary layer includes three structure, O&M, safety attributes, at the same provide in core layer and apply, three facility, data attributes it is corresponding
The calculation method of each index/index result judgement method in metric tree.
A kind of of the invention application based on system interoperability maturity assessment, facility, data attribute metric tree calculating side
Method, comprising the following steps:
Step 1 extracts application, facility, data three from U.S. information interoperability of system grade (LISI) evaluation attribute
A attribute；
Step 2 is directed to three attributes, constructs each attribute interoperability evaluation index system respectively, specifically:
Step 2-1, application interoperation metric tree is constructed, specifically from application system scale, using interactive mode and synthesis
Application characteristic carries out verifying assessment, i.e., mutually grasps using application system scale, using interactive mode and integrated application characteristic as application
Make three two-level index of index system；Wherein application system scale is from software size, system quantity, business chain scale three
Aspect is assessed；It using interactive mode is carried out in terms of interactive mode, interaction time delay, interaction direction, interactive mode four
Assessment；Integrated application characteristic is assessed in terms of intersection density, intensity satisfaction, software openness, reconstruct mode four.
Step 2-2, building infrastructure interoperability metric tree, specifically from facility robustness, agreement relevance grade and facility
Three aspects of controllability are assessed, i.e., mutually grasp facility robustness, agreement relevance grade and facility controllability as basic facility
Make three two-level index of index system；Wherein facility robustness is from physical topology, link redundancy degree, device redundancy, sets
Four aspects of anti-degree of ruining are applied to be assessed；Agreement relevance grade is carried out in terms of agreement framework, scale support, service type three
Assessment；Facility controllability be it is controllable from chain of command, control plane is controllable, is assessed in terms of forwarding surface controllable three；
Step 2-3, data interoperation metric tree is constructed, specifically in terms of data element, data model, data message three
It is assessed, i.e., using data element, data model, data message as three two-level index of data interoperation index system；
Wherein, data element is assessed in terms of definition, naming rule two；Data model is from Data Structure Design, data
It is assessed using three dictionary, data computation rule aspects；Data message is from two message rule, data element dictionary sides
It is assessed in face；To the building for the tree that hits the target；
Step 3, for each two-level index in the metric tree for influencing interoperability in terms of application attribute, (application system is advised
Mould, using interactive mode, integrated application characteristic), for can quantitatively calculate index, provide the calculation method of index value；For
The index of qualitative analysis provides the decision process of index result；
Step 301, application system scale merit is evaluated:
Application system scale merit includes software size, system scale and the aspect of business chain scale three, wherein software is
Refer in the independently operated software entity of certain platform, when for single software can be assessed as when stand alone software on list platform；System be by
The software assembly that individual system administrative staff are managed can be assessed as polyphyly when there is multiple system managers collaborative work
System；Business chain is the software operation functional entity realized through excessive software interactive, and business chain can be assessed as single software if it does not exist
Single system.
Step 302, using interactive mode index evaluation
Include four interactive mode, interaction time delay, interaction direction and interactive mode aspects using interactive mode index, it can be comprehensive
Conjunction is assessed as no interactions, simple interaction (unidirectional craft indirect interaction), common interaction (unidirectional automatic directly interaction), complex interaction
(two-way automatic directly interaction) and on demand interaction (two-way automatic directly interaction on demand).Comprehensive Assessment result is in four indexs
Subject to minimum index, as certain application system interactive mode be indirect interaction when, no matter the superiority and inferiority of other three classes indexs, synthesis
Evaluation result is simple interaction.
Step 303, integrated application characteristic index calculates:
It include software interactive density, intensity satisfaction, openness of system and reconstruct on demand using integrated application characteristic index
Four aspects of mode, are below explained in detail various aspects.
Software interactive density: assuming that including n software in system, a relationship pair is constituted between any two software, altogether
There is n (n-1)/2 relationship pair, it is assumed that wherein have between a relationship pair there are information exchange, then software interactive density z1=a/n
(n-1)/2。
Intensity satisfaction: the reflection of intensity satisfaction is that user provides processing capacity intensity to professional ability demand and application
Between satisfaction degree；If user is L, processing intensity of each software to this Business Stream in the intensity of certain business demand
Respectively l1,l2,…ln, then the intensity satisfaction z of this business2=min (l1,l2,…ln)/L*100%；When there is multiple business to need
When asking, normalized traffic intensity satisfaction is obtained by average weighted mode, weight is provided by user；
Openness of system: openness of system can be used for measuring the mutually integrated ability between application system, it is assumed that application pair
The outer quantity for providing service is N, and own services quantity is M, then openness of system z3=(N/M*100%).
Reconstruct mode on demand: the difference of task will lead to the dynamic change to application system requirements, reconstruct mode energy on demand
The adjustability inside application system is enough embodied, is the important directions of interoperability of system characteristic.Reconstruct mode z on demand4Point
For no reconstruct (0), it is pre-configured reconstruct (0.5), software control reconstruct (0.8) and distributed freedom reconstruct (1).
To sum up, using integrated application characteristic index
Step 4, each two-level index (facility robust in the metric tree of interoperability is influenced for facility attribute aspect
Property, agreement relevance grade and facility controllability), for the index that can quantitatively calculate, provide the calculation method of index value；For qualitative
The index of analysis provides the decision process of index result；
Step 401, facility robustness index determines.Facility robustness index T includes physical topological structure T1, link redundancy
Tri- three-level indexs of T2 and device redundancy T3 are spent, the codomain of T is { single-point isolation, single-point interconnection, redundancy interconnection are extensive mutual
Connection }, it is described below and how the assignment of T is obtained by the assignment of T1, T2, T3:
1) according to the physical topological structure of facility, in set, { isolated topology, pointtopoint topology, local area topology, wide area are opened up
Flutter } in selection T1 assigned result；
2) whether redundancy is had according to network communication link, the assigned result of selection T2 in set { have redundancy, irredundant }；
3) whether redundancy is had according to equipment, the assigned result of selection T3 in set { have redundancy, irredundant }；
4) the assignment calculation method of T are as follows:
If (T1==wide area topology and T2==has redundancy and T3==to have redundancy)
T=is interconnected on a large scale
Else if (T1 >=local area topology and (T2==has redundancy or T3==to have redundancy))
The interconnection of T=redundancy
Else if (T1 >=pointtopoint topology)
The interconnection of T=single-point
else
The isolation of T=single-point
Step 402, agreement relevance grade index judges.Agreement relevance grade index G include agreement framework G1, scale support G2 and
Tri- three-level indexs of service type G3 are described below and how by the assignment of G1, G2, G3 to obtain the assignment of G:
1) agreement framework G1, which divides, interconnects, for Interconnected, wide area interconnection, isomery using four kinds of interconnection, when setting in facility
When for being two layers of equipment, three-layer equipment, the network equipment or terminal device, corresponding agreement framework is respectively Interconnected, wide area
Interconnection, isomery interconnect, using interconnection；
2) scale support refers to whether the scale of upper layer application system is possible to reach the theoretical maximum of protocol stack utilization,
Two class of limited scale and unlimited scale can be divided into accordingly；
3) service type is the service ability that facility can be provided to upper layer, be divided into point-to-point specified services and it is distributed by
Two classes need to be serviced；
4) calculation method of G are as follows:
If (the unlimited scale and G3==distribution on-demand service of three-layer equipment ∈ G1and G2==)
T=wide area protocol
else
T=local area protocol
Step 403, facility controllability subindex judges.The codomain of facility controllability subindex is that { can manage, can control, can determine
Justice }, include chain of command controllability, three control plane controllability, forwarding surface controllability three-level indexs, how is described below by three
The value of a three-level index obtains the value of facility controllability subindex:
1) when judging chain of command controllability subindex, if facility can be monitored management to whole system state,
It is controllable to represent chain of command, it is otherwise uncontrollable for chain of command；
2) when judging control plane controllability subindex, if facility can carry out control on demand to whole system state,
It is controllable to represent control plane, it is otherwise uncontrollable for control plane；
3) when judging forwarding surface controllability subindex, if facility can carry out the data interaction of whole system to determine on demand
Justice, then it is controllable to represent forwarding surface, otherwise uncontrollable for forwarding surface；
4) when judging facility controllability subindex, if forwarding surface is controllable, facility controllability is represented to can define；If turning
It leavens dough uncontrollable, but control plane is controllable, then it is controllable for representing facility controllability；If forwarding surface and control plane are all uncontrollable, pipe
Reason face is controllable, then represents facility controllability as that can manage；If forwarding surface, control plane, chain of command are uncontrollable, facility controllability
To be not suitable for state.
Step 5, in the metric tree for influencing interoperability in terms of data attribute each two-level index (data element,
Data model, data message), for the index that can quantitatively calculate, provide the calculation method of index value；For the finger of qualitative analysis
Mark, provides the decision process of index result；
Step 501, data element index
1) definition and naming rule of data element: the definition and life of main entity and attribute including logic data model
The definition and naming rule of the table and field data element of name rule and Physical data model.
2) metadata: the metadata of entity, generic element and data element.
Assuming that definition and the naming rule index x of data elementD1, metadata is index xD2, then data element evaluation index
For xD=f1(xD1, xD2)=wD1*xD1+(1-wD1)*xD2, wherein f1It represents about xD1And xD2Function, 0 < wD1≤ 1 represents A1 power
Value coefficient.
The value that the definition of data element and naming rule index correspond to each grade is respectively as follows:
xD1=0: without definition, without naming rule
xD1=1: definition and naming rule meet primitive rule
xD1=2: definition and naming rule meet advanced naming rule
xD1=3: definition and naming rule meet field naming rule
xD1=4: definition and naming rule meet cross-domain data naming rule
xD1=5: definition and naming rule meet network information system specification
The value that metadata index corresponds to each grade is respectively as follows:
xD2=0: not including basic metadata set
xD2=1: including basic metadata set
xD2=2: including functional domain metadata set
xD2=3: including basic area metadata set
xD2=4: including cross-cutting metadata set
xD2=5: including the metadata set in network information system specification
Step 502, data model index
1) Data Structure Design: the database design content including data information.Data Structure Design document mainly includes
Entity relationship diagram and definition of data item table, the physical aspect of Data Structure Design mainly include table in database entity, field
And relationship.
2) data application dictionary: the set including normal datas and coding rule all kinds of in data information.
3) data computation rule: the rules such as associated calculated values, algorithm during being used including data model.Including data
Associated calculated values during model use, the rules such as algorithm.
Assuming that Data Structure Design index yD1, data application dictionary index yD2, data computation rule index yD3, then grammer
Evaluation index is yD=f2(yD1, yD2, yD3)=wD2*yD1+wD3*yD2+(1-wD2-wD3)*yD3, wherein f2It represents about yD1, yD2,
And yD30 < w of functionD2≤ 1 and 0 < wD3≤ 1 respectively represents yD1And yD2Weight coefficient.
The value that Data Structure Design index corresponds to each grade is respectively as follows:
yD1=0: data structure is customized
yD1=1: data structure meets Data Structures
yD1=2: data structure meets advanced data structure
yD1=3: data structure meets FIELD Data structure
yD1=4: data structure meets cross-cutting data structure
yD1=5: data structure meets network information system specification
The value that data application dictionary index corresponds to each grade is respectively as follows:
yD2=0: no data application dictionary
yD2=1: data application dictionary meets basic standard
yD2=2: data application dictionary meets functional domain standard
yD2=3: data application dictionary meets field standard
yD2=4: data application dictionary meets cross-cutting standard
yD2=5: data application dictionary meets network information system specification
The level of evaluation of data computation rule are as follows:
yD3=0: no data computation rule
yD3=5: having data computation rule
Step 503, data message index
1) message rule: including rules such as message length, packaged type, frame structure, grammer, processing.
2) data element dictionary: the contents such as bit length, codomain range including data element.
Assuming that message rule index zD1, data element index zD2, data message index is zD=f3(zD1, zD2)=wD4*zD1
+wD5*zD2, wherein f3It represents about zD1And zD2Function, 0 < wD4≤ 1 represents weight coefficient.
The value that message rule index corresponds to each grade is respectively as follows:
zD1=0: message rule is customized
zD1=1: message rule meets primitive rule
zD1=2: message rule meets functional domain rule
zD1=3: message rule meets domain-planning
zD1=4: message rule meets cross-cutting standard
zD1=5: message rule meets network information system specification
The value that data element dictionary index corresponds to each grade is respectively as follows:
zD2=0: data element dictionary is customized
zD2=1: meeting primitive rule
zD2=2: meeting functional domain rule
zD2=3: meeting domain-planning
zD2=4: meeting cross-cutting rule
zD2=5: meeting network information system specification.
Step 6, in step 3, step 4 and step 5 index calculate and index result judgement process summarize, complete
Calculating to metric tree corresponding to interoperability core layer attribute.
The present invention is directed to application, three facility, data attributes, has studied the corresponding metric tree of three attributes, and respectively refers to
Each index calculating method in mark tree ,/index result judgement method, to carry out fixed guantity combining with fixed quality to system interoperability grade
Assessment provide index calculating/judgment basis.
Claims (5)
1. a kind of application based on system interoperability maturity assessment, facility, data attribute metric tree calculation method, feature exist
In, comprising the following steps:
Step 1 extracts application, three facility, data attributes from U.S. information interoperability of system grade evaluation attribute；
Step 2 is directed to three attributes, constructs each attribute interoperability evaluation index system respectively；
Step 3, each index for application interoperation metric tree provide the meter of index value for the index that can quantitatively calculate
Calculation method；For the index of qualitative analysis, the decision process of index result is provided；Interoperability is influenced in terms of the application attribute
Metric tree in each two-level index include application system scale, using interactive mode, integrated application characteristic；
Step 4 influences each two-level index in the metric tree of interoperability for facility attribute aspect, for can quantitatively calculate
Index, provide the calculation method of index value；For the index of qualitative analysis, the decision process of index result is provided；It is described to set
The each two-level index influenced in the metric tree of interoperability in terms of applying attribute includes facility robustness, agreement relevance grade and facility
Controllability；
Step 5 influences each two-level index in the metric tree of interoperability for data attribute aspect, for can quantitatively calculate
Index, provide the calculation method of index value；For the index of qualitative analysis, the decision process of index result is provided；The number
It include data element, data model, data message according to each two-level index in the metric tree for influencing interoperability in terms of attribute；
Step 6, in step 3, step 4 and step 5 index calculate and index result judgement process summarize, complete to mutual
Operate the calculating of metric tree corresponding to core layer attribute.
2. according to claim 1 based on the application of system interoperability maturity assessment, facility, data attribute metric tree
Calculation method, which is characterized in that step 2 is directed to three attributes, constructs each attribute interoperability evaluation index system respectively, specifically:
Step 2-1, application interoperation metric tree is constructed, specifically from application system scale, using interactive mode and integrated application
Characteristic carries out verifying assessment, i.e., refers to using application system scale, using interactive mode and integrated application characteristic as application interoperation
Three two-level index of mark system；Wherein application system scale is in terms of software size, system quantity, business chain scale three
It is assessed；It using interactive mode is assessed in terms of interactive mode, interaction time delay, interaction direction, interactive mode four；
Integrated application characteristic is assessed in terms of intersection density, intensity satisfaction, software openness, reconstruct mode four；
Step 2-2, building infrastructure interoperability metric tree, it is specifically controllable from facility robustness, agreement relevance grade and facility
Property three aspects assessed, i.e., facility robustness, agreement relevance grade and facility controllability are interoperated as basic facility and are referred to
Three two-level index of mark system；Wherein facility robustness is anti-from physical topology, link redundancy degree, device redundancy, facility
Four aspects of degree of ruining are assessed；Agreement relevance grade is commented in terms of agreement framework, scale support, service type three
Estimate；Facility controllability be it is controllable from chain of command, control plane is controllable, is assessed in terms of forwarding surface controllable three；
Step 2-3, data interoperation metric tree is constructed, is specifically carried out in terms of data element, data model, data message three
Assessment, i.e., using data element, data model, data message as three two-level index of data interoperation index system；Wherein,
Data element is assessed in terms of definition, naming rule two；Data model is from Data Structure Design, data application word
Three allusion quotation, data computation rule aspects are assessed；Data message is carried out in terms of message rule, data element dictionary two
Assessment；To the building for the tree that hits the target.
3. according to claim 1 based on the application of system interoperability maturity assessment, facility, data attribute metric tree
Calculation method, which is characterized in that step 3 specifically includes the following steps:
Step 3-1, application system scale merit is evaluated:
The application system scale merit includes software size, system scale and the aspect of business chain scale three, wherein software is
Refer in the independently operated software entity of certain platform, when for single software can be assessed as when stand alone software on list platform；System be by
The software assembly that individual system administrative staff are managed can be assessed as polyphyly when there is multiple system managers collaborative work
System；Business chain is the software operation functional entity realized through excessive software interactive, and business chain can be assessed as single software if it does not exist
Single system；
Step 3-2, using interactive mode index evaluation:
Include four interactive mode, interaction time delay, interaction direction and interactive mode aspects using interactive mode index, can integrate and comment
It is i.e. double to be set to the i.e. unidirectional manual indirect interaction of no interactions, simple interaction, common interaction i.e. unidirectional automatic directly interaction, complex interaction
To the automatic directly interactive and i.e. two-way automatic directly interaction on demand of interaction on demand；Comprehensive Assessment result is with minimum in four indexs
Subject to index；
Step 3-3, integrated application characteristic index calculates:
Include software interactive density, intensity satisfaction, openness of system using integrated application characteristic index and on demand reconstructs mode
Four aspects, specifically:
Software interactive density: assuming that including n software in system, a relationship pair is constituted between any two software, shares n
(n-1)/2 relationship pair, it is assumed that wherein have between a relationship pair there are information exchange, then software interactive density z1=a/n (n-
1)/2；
Intensity satisfaction: the reflection of intensity satisfaction is that user provides between processing capacity intensity professional ability demand and application
Satisfaction degree；If user is L to the intensity of certain business demand, each software distinguishes the processing intensity of this Business Stream in
For l1,l2,…ln, then the intensity satisfaction z of this business2=min (l1,l2,…ln)/L*100%；When there is multiple business demands
When, normalized traffic intensity satisfaction is obtained by average weighted mode, weight is provided by user；
Openness of system: openness of system can be used for measuring the mutually integrated ability between application system, it is assumed that application externally mentions
Quantity for service is N, and own services quantity is M, then openness of system z3=(N/M*100%)；
Reconstruct mode on demand: the difference of task will lead to the dynamic change to application system requirements, and reconstructing mode on demand being capable of body
Reveal the adjustability inside application system, is the important directions of interoperability of system characteristic；Reconstruct mode z on demand4It is divided into nothing
It reconstructs (0), be pre-configured reconstruct (0.5), software control reconstruct (0.8) and distributed freedom reconstruct (1)；
To sum up, using integrated application characteristic index
4. according to claim 1 based on the application of system interoperability maturity assessment, facility, data attribute metric tree
Calculation method, which is characterized in that step 4 specifically:
Step 4-1, facility robustness index determines: facility robustness index T includes physical topological structure T1, link redundancy degree T2
With tri- three-level indexs of device redundancy T3, the codomain of T is { single-point isolation, single-point interconnection, redundancy interconnection are extensive to interconnect },
It is described below and how the assignment of T is obtained by the assignment of T1, T2, T3:
1) according to the physical topological structure of facility, in set { isolated topology, pointtopoint topology, local area topology, wide area topology }
Select the assigned result of T1；
2) whether redundancy is had according to network communication link, the assigned result of selection T2 in set { have redundancy, irredundant }；
3) whether redundancy is had according to equipment, the assigned result of selection T3 in set { have redundancy, irredundant }；
4) the assignment calculation method of T are as follows:
If (T1==wide area topology and T2==has redundancy and T3==to have redundancy)
T=is interconnected on a large scale
Else if (T1 >=local area topology and (T2==has redundancy or T3==to have redundancy))
The interconnection of T=redundancy
Else if (T1 >=pointtopoint topology)
The interconnection of T=single-point
else
The isolation of T=single-point
Step 4-2, agreement relevance grade index judges: agreement relevance grade index G includes agreement framework G1, scale support G2 and service
Tri- three-level indexs of type G3 are described below and how by the assignment of G1, G2, G3 to obtain the assignment of G:
1) agreement framework G1, which divides, interconnects, for Interconnected, wide area interconnection, isomery using four kinds of interconnection, when the equipment in facility is
When two layers of equipment, three-layer equipment, the network equipment or terminal device, corresponding agreement framework is respectively that Interconnected, wide area are mutual
Connection, isomery interconnect, using interconnection；
2) scale support refers to whether the scale of upper layer application system is possible to reach the theoretical maximum of protocol stack utilization, accordingly
Two class of limited scale and unlimited scale can be divided into；
3) service type is the service ability that facility can be provided to upper layer, is divided into point-to-point specified services and distributed clothes on demand
It is engaged in two classes；
4) calculation method of G are as follows:
If (the unlimited scale and G3==distribution on-demand service of three-layer equipment ∈ G1and G2==)
T=wide area protocol
else
T=local area protocol
Step 4-3, facility controllability subindex judges, the codomain of facility controllability subindex is { can manage, can control, can define },
Include three chain of command controllability, control plane controllability, forwarding surface controllability three-level indexs:
1) it when judging chain of command controllability subindex, if facility can be monitored management to whole system state, represents
Chain of command is controllable, otherwise uncontrollable for chain of command；
2) it when judging control plane controllability subindex, if facility can carry out control on demand to whole system state, represents
Control plane is controllable, otherwise uncontrollable for control plane；
3) when judging forwarding surface controllability subindex, if facility can the data interaction to whole system defined on demand,
It is controllable then to represent forwarding surface, it is otherwise uncontrollable for forwarding surface；
4) when judging facility controllability subindex, if forwarding surface is controllable, facility controllability is represented to can define；If forwarding surface
It is uncontrollable, but control plane is controllable, then and it is controllable for representing facility controllability；If forwarding surface and control plane are all uncontrollable, chain of command
Controllably, then facility controllability is represented as that can manage；If forwarding surface, control plane, chain of command are uncontrollable, facility controllability is not
The state of being applicable in.
5. the index system construction method according to claim 1 based on system interoperability maturity assessment, feature exist
In step 5 specifically:
Step 5-1, data element index:
1) definition and naming rule of data element: the definition and naming rule of entity and attribute including logic data model,
And the definition and naming rule of the table of Physical data model and field data element；
2) metadata: the metadata of entity, generic element and data element；
Assuming that definition and the naming rule index x of data elementD1, metadata is index xD2, then data element evaluation index is xD
=f1(xD1, xD2)=wD1*xD1+(1-wD1)*xD2, wherein f1It represents about xD1And xD2Function, 0 < wD1≤ 1 represents A1 weight system
Number；
The value that the definition of data element and naming rule index correspond to each grade is respectively as follows:
xD1=0: without definition, without naming rule
xD1=1: definition and naming rule meet primitive rule
xD1=2: definition and naming rule meet advanced naming rule
xD1=3: definition and naming rule meet field naming rule
xD1=4: definition and naming rule meet cross-domain data naming rule
xD1=5: definition and naming rule meet network information system specification
The value that metadata index corresponds to each grade is respectively as follows:
xD2=0: not including basic metadata set
xD2=1: including basic metadata set
xD2=2: including functional domain metadata set
xD2=3: including basic area metadata set
xD2=4: including cross-cutting metadata set
xD2=5: including the metadata set in network information system specification
Step 5-2, data model index:
1) Data Structure Design: the database design content including data information, Data Structure Design document include entity relationship
Figure and definition of data item table, the physical aspect of Data Structure Design mainly includes table, field and relationship in database entity；
2) data application dictionary: the set including normal datas and coding rule all kinds of in data information；
3) data computation rule: associated calculated values, algorithmic rule during being used including data model, including data model fortune
With associated calculated values in the process, algorithmic rule；
If Data Structure Design index yD1, data application dictionary index yD2, data computation rule index yD3, then grammer is assessed and is referred to
It is designated as yD=f2(yD1, yD2, yD3)=wD2*yD1+wD3*yD2+(1-wD2-wD3)*yD3, wherein f2It represents about yD1, yD2And yD3's
0 < w of functionD2≤ 1 and 0 < wD3≤ 1 respectively represents yD1And yD2Weight coefficient；
The value that Data Structure Design index corresponds to each grade is respectively as follows:
yD1=0: data structure is customized
yD1=1: data structure meets Data Structures
yD1=2: data structure meets advanced data structure
yD1=3: data structure meets FIELD Data structure
yD1=4: data structure meets cross-cutting data structure
yD1=5: data structure meets network information system specification
The value that data application dictionary index corresponds to each grade is respectively as follows:
yD2=0: no data application dictionary
yD2=1: data application dictionary meets basic standard
yD2=2: data application dictionary meets functional domain standard
yD2=3: data application dictionary meets field standard
yD2=4: data application dictionary meets cross-cutting standard
yD2=5: data application dictionary meets network information system specification
The level of evaluation of data computation rule are as follows:
yD3=0: no data computation rule
yD3=5: having data computation rule
Step 5-3, data message index:
1) message rule: including message length, packaged type, frame structure, grammer, processing rule；
2) data element dictionary: bit length, codomain range including data element；
Assuming that message rule index zD1, data element index zD2, data message index is zD=f3(zD1, zD2)=wD4*zD1+wD5*
zD2, wherein f3It represents about zD1And zD2Function, 0 < wD4≤ 1 represents weight coefficient；
The value that message rule index corresponds to each grade is respectively as follows:
zD1=0: message rule is customized
zD1=1: message rule meets primitive rule
zD1=2: message rule meets functional domain rule
zD1=3: message rule meets domain-planning
zD1=4: message rule meets cross-cutting standard
zD1=5: message rule meets network information system specification
The value that data element dictionary index corresponds to each grade is respectively as follows:
zD2=0: data element dictionary is customized
zD2=1: meeting primitive rule
zD2=2: meeting functional domain rule
zD2=3: meeting domain-planning
zD2=4: meeting cross-cutting rule
zD2=5: meeting network information system specification.
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| CN102663503A (en) * | 2012-04-05 | 2012-09-12 | 北京联海信息系统有限公司 | Information security assessment method |
| CN107220168A (en) * | 2017-06-22 | 2017-09-29 | 中国人民解放军装备学院 | It is a kind of based on integrated information system system maturity assessment method |
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