CN109889612A - Industrial Internet of Things service provider credible evaluation device - Google Patents
Industrial Internet of Things service provider credible evaluation device Download PDFInfo
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- CN109889612A CN109889612A CN201910316869.XA CN201910316869A CN109889612A CN 109889612 A CN109889612 A CN 109889612A CN 201910316869 A CN201910316869 A CN 201910316869A CN 109889612 A CN109889612 A CN 109889612A
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Abstract
A kind of industry Internet of Things service provider credible evaluation device, comprising: the cooperation degree evaluation information in industrial Internet of Things service is completed in processing suitable for obtaining service provider in acquiring unit；Credible evaluation unit filters out untrusted service provider suitable for the cooperation degree evaluation information in industrial Internet of Things service is completed in processing based on the service provider from the service provider.Above-mentioned scheme may be implemented to provide progress credible evaluation to service in industrial Internet of Things, to improve the service reliability of industrial Internet of Things service.
Description
Technical field
The invention belongs to industrial internet of things field, comment more particularly to a kind of industrial Internet of Things service provider is credible
Estimate device.
Background technique
With the development of computer technology and service network, industrial production is stepping into intelligence, automation, industry
Internet of Things comes into being.
Industrial Internet of Things is to realize manufacture raw material by the network interconnection of industrial resources, data interchange and interoperability of system
Flexible configuration, manufacturing process it is on-demand execute, the reasonably optimizing of manufacturing process and manufacturing environment rapidly adapt to, reach resource
Efficient utilization, to construct the new industrial system of service-driven.The continuous development of industrial Internet of Things, so that global industry body
System develops towards intelligentized direction.The network interconnection of the industrial Internet of Things by industrial resources, interoperability of system and data interchange
Deng the quick suitable of the realization convenient configuration of manufacturing recourses, the optimization of manufacturing process, the on-demand execution of manufacturing process and manufacturing environment
It answers, to reach the efficient using flexible convenient with manufacturing process of resource.Excellent ability in industrial Internet of Things is to service
Ability, all service becomes the final goal that industrial Internet of Things develops for all.
Based on this, the credible evaluation of service provider becomes urgent problem to be solved in industrial Internet of Things.
Summary of the invention
Present invention solves the technical problem that being how to provide service in industrial Internet of Things to carry out credible evaluation, to improve
The service reliability of industrial Internet of Things service.
In order to achieve the above object, the present invention provides a kind of industrial Internet of Things service provider credible evaluation device, institutes
Stating device includes:
Acquiring unit is believed suitable for obtaining service provider in the cooperation degree evaluation that processing is completed in industrial Internet of Things service
Breath；
Credible evaluation unit, suitable for the cooperation in industrial Internet of Things service is completed in processing based on the service provider
Evaluation information is spent, untrusted service provider is filtered out from the service provider.
Optionally, the credible evaluation unit, the service group that industrial Internet of Things service is completed suitable for obtaining the processing
The information of all service providers in conjunction；All service providers in the Services Composition are traversed, traversal is obtained
Current service provider extremely；Other service providers obtained in the Services Composition respectively are locating current service provider
Manage the information for the cooperation degree evaluation being completed in industrial Internet of Things service process；Based on acquired cooperation degree evaluation information, divide
Other service providers in the Services Composition are not calculated to the overall merit numerical value of the current service provider, and generation is worked as
The overall merit set of preceding service provider；Overall merit set based on the service provider calculates current service and provides
The overall merit average value and comprehensive value model of side are poor；Calculate separately each overall merit number in the overall merit set
Difference between value and the overall merit average value of current service provider generates the corresponding evaluation of current service provider and deviates
Duration set；When the comprehensive value model difference being calculated is less than preset standard deviation threshold method, by the evaluation bias
The suspection number of other corresponding service providers of the biggish preset quantity evaluation bias of numerical value increases preset in set
Numerical value；When the comprehensive value model difference being calculated is greater than or equal to the standard deviation threshold method and evaluation deviation quantity set
When there is the offset greater than corresponding invalid Evaluation threshold in conjunction, the offset that will be greater than corresponding invalid Evaluation threshold is corresponding
The suspection numbers of other service providers increase the numerical value；Obtain next service provider conduct in the Services Composition
Current service provider, until all service providers all complete by traversal in the Services Composition；Obtain the Services Composition
In each service provider suspect number and evaluate number information；Suspection number based on acquired service provider and
Number is evaluated, the suspicion rate of corresponding service provider is calculated；When the suspicion rate and evaluation number that are calculated are all larger than
When corresponding threshold value, it is filtered corresponding service provider as untrusted service provider.
Optionally, the credible evaluation unit, suitable for the comprehensive of the service provider is calculated using following formula
Close figure of merit:
And:
ΔEi=| Ei-Ti(t-Δt)|；
Wherein, EiIndicate the overall merit numerical value of i-th of service provider, Qj,iIndicate j-th of service provider to i-th
The figure of merit of a service provider, Ti(t) personal credit worthiness of i-th of service provider in time t, T are indicatedi(t-Δt)
Indicate i-th of service provider in time (personal credit worthiness when t- Δ t).
Optionally, the invalid Evaluation threshold is to be calculated based on the corresponding composite rating standard deviation.
Optionally, the credible evaluation unit, suitable for the invalid Evaluation threshold is calculated using following formula:
Wherein, H (σi) indicate the corresponding invalid Evaluation threshold of i-th of service provider, σiIndicate i-th of service provider
Corresponding invalid Evaluation threshold.
Optionally, the credible evaluation unit, suitable for corresponding service provider is calculated using following formula
Suspicion rate:
Wherein, MPiIndicate the suspicion rate of i-th of service provider, MiThe suspection total degree of i-th of service provider, CiTable
Show the total degree that i-th of service provider is evaluated.
Optionally, the preset quantity is related to the quantity of service provider in the Services Composition.
Optionally, the preset numerical value is 1.
Compared with prior art, the invention has the benefit that
Above-mentioned scheme is evaluated by obtaining service provider in the cooperation degree that processing is completed in industrial Internet of Things service
Information, and the cooperation degree evaluation information in the service of industrial Internet of Things is completed in processing based on the service provider, from described
Untrusted service provider is filtered out in service provider, and the credible evaluation of industrial Internet of Things service provider may be implemented, from
And industry Internet of Things reliability of service provided by service provider can be provided.
Detailed description of the invention
In order to more clearly explain the technical solutions in the embodiments of the present application, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, the drawings in the following description are only some examples of the present application, for
For those of ordinary skill in the art, without any creative labor, it can also be obtained according to these attached drawings
His attached drawing.
Fig. 1 is a kind of flow diagram of industrial Internet of Things service provider credible evaluation method of the embodiment of the present invention；
Fig. 2 shows the processes of industry Internet of Things service provider credible evaluation method another in the embodiment of the present invention to show
It is intended to；
Fig. 3 is a kind of structural schematic diagram of industrial Internet of Things service provider credible evaluation device of the embodiment of the present invention.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of embodiments of the present application, instead of all the embodiments.It is based on
Embodiment in the application, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall in the protection scope of this application.Related directionality instruction in the embodiment of the present invention (such as upper and lower, left and right,
It is forward and backward etc.) it is only used for the relative positional relationship explained under a certain particular pose (as shown in the picture) between each component, movement feelings
Condition etc., if the particular pose changes, directionality instruction is also correspondingly changed correspondingly.
As stated in the background art, the ropy problem of method of servicing presence service of existing industrial Internet of Things, it is difficult to have
Effect realizes the personalization independently adapted to, the collaboration of wisdom trusted service.
Technical solution of the present invention passes through the industrial Internet of Things service request for receiving industrial Internet of Things demand for services side, and base
In the industrial Internet of Things service request received, building is using response time, availability, handling capacity, confidence level as evaluation index
Multi objective cooperation with service adaptation model, and using constructed multi objective cooperation with service adaptation model from optional Services Composition
In filter out the optimal service combination for handling the industrial Internet of Things service request, then use the optimal service combined treatment institute
Industrial Internet of Things service request is stated, it is more due to being constructed using response time, availability, handling capacity, confidence level as evaluation index
Index cooperation with service adaptation model can be realized simultaneously excellent to the multiple target of response time, availability, handling capacity and confidence level
Change, meet Pareto Efficiency thought, with using compared with linear weighted function service adapter model, when can be to the response of Services Composition
Between, availability, handling capacity and confidence level accurately measured, therefore the quality of industrial Internet of Things service can be improved, and improve money
The utilization rate in source.
It is understandable to enable above-mentioned purpose of the invention, feature and beneficial effect to become apparent, with reference to the accompanying drawing to this
The specific embodiment of invention is described in detail.
Fig. 1 is a kind of flow diagram of industrial Internet of Things service provider credible evaluation method of the embodiment of the present invention.
Referring to Fig. 1, a kind of industry Internet of Things service provider credible evaluation method can specifically include following step:
Step S101: service provider is obtained in processing, the cooperation degree evaluation information in industrial Internet of Things service is completed；
Step S102: the cooperation degree evaluation letter in industrial Internet of Things service is completed in processing based on the service provider
Breath, filters out untrusted service provider from the service provider.
Above-mentioned scheme is evaluated by obtaining service provider in the cooperation degree that processing is completed in industrial Internet of Things service
Information, and the cooperation degree evaluation information in the service of industrial Internet of Things is completed in processing based on the service provider, from described
Untrusted service provider is filtered out in service provider, and the credible evaluation of industrial Internet of Things service provider may be implemented, from
And industry Internet of Things reliability of service provided by service provider can be provided.
Below in conjunction with Fig. 2 to the industrial Internet of Things service provider credible evaluation method in the embodiment of the present invention carry out into
The detailed introduction of one step.Referring to fig. 2, a kind of industrial Internet of Things service provider credible evaluation method, can using how
Step is realized:
Step S201: all service providers for handling and being completed in the Services Composition of industrial Internet of Things service are obtained
Information.
In specific implementation, industrial Internet of Things service request generally has at the Services Composition of multiple service providers
Reason.In other words, the Services Composition for handling an industrial Internet of Things request may include more than two service providers.
Step S202: traversing all service providers in the Services Composition, obtains the current clothes of traversal extremely
Be engaged in provider.
In specific implementation, the sequence traversed to the service provider in the Services Composition can be according to actual
It needs to be configured, herein with no restrictions.
Step S203: other service providers obtained in the Services Composition respectively are handling current service provider
The information of the cooperation degree evaluation in industrial Internet of Things service process is completed.
In specific implementation, other service providers obtained in the Services Composition are handling current service provider
Be completed in industrial Internet of Things service process cooperation degree evaluation, namely will acquire in Services Composition go out current service provider it
Outer service provider evaluates the cooperation degree of the current service provider.
Step S204: based on acquired cooperation degree evaluation information, other services in the Services Composition are calculated separately
Provider generates the overall merit set of current service provider to the overall merit numerical value of the current service provider.
In an embodiment of the present invention, it is evaluated using the cooperation degree of current service provider as index, using following public affairs
Other service providers in the Services Composition are calculated to the overall merit numerical value of the current service provider in formula:
And:
ΔEi=| Ei-Ti(t-Δt)| (4)
Wherein, EiIndicate the overall merit numerical value of i-th of service provider, Qj,iIndicate j-th of service provider to i-th
The figure of merit of a service provider, Ti(t) personal credit worthiness of i-th of service provider in time t, T are indicatedi(t-Δt)
Indicate i-th of service provider in time (personal credit worthiness when t- Δ t).
In specific implementation, when each of Services Composition other service providers are calculated to current service provider
Overall merit numerical value when, the overall merit numerical value for the current service provider being calculated is added to identity set
In, form the corresponding overall merit set of current service provider.
Step S205: the overall merit set based on the service provider, the synthesis for calculating current service provider are commented
Valence average value and comprehensive value model are poor.
In specific implementation, the overall merit average value and comprehensive value model difference can be using in the prior art flat
Mean value and standard deviation calculation formula are calculated, and those skilled in the art can select according to the actual needs, herein
With no restrictions.
Step S206: each overall merit numerical value in the overall merit set and current service provider are calculated separately
Overall merit average value between difference, generate current service provider corresponding evaluation deviation duration set.
In specific implementation, when the overall merit average value for calculating current service provider, by the overall merit
The overall merit average value of each overall merit numerical value and current service provider in set does subtraction, can obtain
Each bias of other service providers to the overall merit numerical value of current service provider in Services Composition.By Services Composition
In other each service providers set that the bias of the overall merit numerical value of current service provider is constituted, as described
The corresponding evaluation of current service provider deviates duration set.
Step S207: judge whether the comprehensive value model difference of current service provider is less than preset standard deviation threshold method；
When the judgment result is yes, step S208 can be executed；Conversely, can then execute step S209.
In specific implementation, the preset standard deviation threshold method can be chosen according to the actual needs, not do herein
Limitation.
Step S208: by the evaluation deviate the biggish preset quantity of numerical value in duration set evaluate bias it is corresponding its
The suspection number of his service provider increases preset numerical value.
In specific implementation, when the comprehensive value model difference being calculated is less than preset standard deviation threshold method, table
The ratio of untrusted service evaluation side in bright Services Composition is lower, or the current service evaluation side being evaluated is one and mentions
The untrusted service node of high cooperation degree service is supplied.At this point it is possible to according to the scale of Services Composition, by the evaluation bias
The suspection number of the corresponding service provider of the biggish preset quantity evaluation bias of numerical value increases preset numerical value in set.
Wherein, preset quantity and preset numerical value can be configured according to the actual needs respectively, herein with no restrictions.
Step S209: judge that the evaluation deviates in duration set with the presence or absence of the offset greater than corresponding invalid Evaluation threshold
Amount；When the judgment result is yes, step S210 can be executed；Conversely, can then execute step S211.
In specific implementation, the invalid Evaluation threshold can be configured according to the actual needs.It is real in the present invention one
It applies in example, the invalid Evaluation threshold is related to the comprehensive value model of current service provider difference, that is, uses following formula
The corresponding invalid Evaluation threshold of current service provider is calculated:
Wherein, H (σi) indicate the corresponding invalid Evaluation threshold of i-th of service provider, σiIndicate i-th of service provider
Corresponding invalid Evaluation threshold.
Step S210: it will be greater than the suspection time of other corresponding service providers of offset of corresponding invalid Evaluation threshold
Number increases the numerical value.
In specific implementation, when the comprehensive value model difference being calculated be greater than or equal to the standard deviation threshold method and
When the evaluation deviates the offset existed in duration set greater than corresponding invalid Evaluation threshold, show occur in Services Composition
Partial service provides other service providers of direction and provides the case where malice is evaluated.At this point it is possible to which the evaluation deviates duration set
In be greater than suspection of other the corresponding service providers of offset as untrusted service provider of the invalid Evaluation threshold
Object, so the suspection number of the service provider is increased into the numerical value.Wherein, the preset numerical value can be according to reality
Carry out choose, such as be set as 1, herein with no restrictions.
Step S211: judge whether all service providers in the Services Composition traverse completion；When judging result is
When being, step S213 can be executed；Conversely, can then execute step S212.
Step S212: next service provider in the Services Composition is obtained.
In specific implementation, when determining that all service providers in the Services Composition do not traverse completion, Ke Yijie
The service provider in Services Composition is traversed, the next service provider traversed is provided as current service
Side, and restart to execute from step S203.
Step S213: the information of each service provider in the Services Composition suspected number and evaluate number is obtained.
In specific implementation, an above-mentioned step is completed by being performed both by each service provider in Services Composition
S202 to S211, then the partly or completely service provider in Services Composition can obtain a certain number of suspection time
Number, meanwhile, the evaluation number of available each service provider.
Step S214: corresponding clothes are calculated in suspection number and evaluation number based on acquired service provider
The suspicion rate of business provider.
In one embodiment of the invention, by the suspection number and evaluation number of service provider, using following formula
The suspicion rate of the health service provider is calculated:
Wherein, MPiIndicate the suspicion rate of i-th of service provider, MiThe suspection total degree of i-th of service provider, CiTable
Show the total degree that i-th of service provider is evaluated.
Step S215: when the suspicion rate and evaluation number that are calculated are all larger than corresponding threshold value, by corresponding service
Provider is filtered as untrusted service provider.
In specific implementation, when the suspicion rate of each optional service provider is calculated, by will be corresponding
The suspicion rate of service provider and corresponding suspicion rate threshold valueIt is compared, and being evaluated corresponding service provider
Total degree and preset frequency threshold valueIt is compared, to judge the suspicion rate of service provider and whether be evaluated total degree equal
More than corresponding threshold value.When the suspicion rate for determining service provider is greater than corresponding suspicion rate threshold valueAnd the service provider
Be evaluated total degree and preset frequency threshold valueWhen, using corresponding service provider as untrusted service provider, from
And corresponding trusted service provider can be filtered out, so as to provide reliable industrial Internet of Things service, and then can provide
The quality of industrial Internet of Things service.
The above-mentioned method in the embodiment of the present invention is described in detail, below will be to the above-mentioned corresponding dress of method
It sets and is introduced.
The structure that Fig. 3 shows the industrial Internet of Things service provider credible evaluation device of one of embodiment of the present invention is shown
It is intended to.Referring to Fig. 3, one of embodiment of the present invention industry Internet of Things service provider credible evaluation device 30 may include
Acquiring unit 301 and credible evaluation unit 302, in which:
The cooperation in industrial Internet of Things service is completed in processing suitable for obtaining service provider in the acquiring unit 301
Spend evaluation information.
The credible evaluation unit 302, suitable for industrial Internet of Things service is completed in processing based on the service provider
In cooperation degree evaluation information, untrusted service provider is filtered out from the service provider.
In an embodiment of the present invention, industrial Internet of Things are completed suitable for obtaining the processing in the credible evaluation unit 302
Net the information of all service providers in the Services Composition of service；All service providers in the Services Composition are carried out
Traversal obtains the current service provider of traversal extremely；Other service providers in the Services Composition are obtained respectively to current
The information for the cooperation degree evaluation that service provider is completed in industrial Internet of Things service process in processing；Based on acquired cooperation
Evaluation information is spent, other service providers calculated separately in the Services Composition comment the synthesis of the current service provider
Valence mumber value generates the overall merit set of current service provider；Overall merit set based on the service provider calculates
The overall merit average value and comprehensive value model of current service provider is poor；It calculates separately each in the overall merit set
Difference between a overall merit numerical value and the overall merit average value of current service provider generates current service provider couple
The evaluation answered deviates duration set；When the comprehensive value model difference being calculated is less than preset standard deviation threshold method, by institute
Commentary valence deviates the suspection time of other corresponding service providers of the biggish preset quantity evaluation bias of numerical value in duration set
Number increases preset numerical value；When the comprehensive value model difference being calculated is greater than or equal to the standard deviation threshold method and described
When evaluation deviates the offset existed in duration set greater than corresponding invalid Evaluation threshold, corresponding invalid Evaluation threshold will be greater than
The suspection numbers of other corresponding service providers of offset increase the numerical value；Obtain next clothes in the Services Composition
Provider be engaged in as current service provider, until all service providers all complete by traversal in the Services Composition；It obtains
The information of each service provider suspected number and evaluate number in the Services Composition；Based on acquired service provider
Suspection number and evaluation number, the suspicion rate of corresponding service provider is calculated；When the suspicion rate being calculated and comment
When valence number is all larger than corresponding threshold value, it is filtered corresponding service provider as untrusted service provider.
In an alternative embodiment of the invention, the credible evaluation unit 302, suitable for institute is calculated using following formula
State the overall merit numerical value of service provider:
And:
ΔEi=| Ei-Ti(t-Δt)|；
Wherein, EiIndicate the overall merit numerical value of i-th of service provider, Qj,iIndicate j-th of service provider to i-th
The figure of merit of a service provider, Ti(t) personal credit worthiness of i-th of service provider in time t, T are indicatedi(t-Δt)
Indicate i-th of service provider in time (personal credit worthiness when t- Δ t).
In specific implementation, the invalid Evaluation threshold can be to be calculated based on the corresponding composite rating standard deviation
It arrives.
In an embodiment of the present invention, the credible evaluation unit 302, it is described suitable for being calculated using following formula
Invalid Evaluation threshold:
Wherein, H (σi) indicate the corresponding invalid Evaluation threshold of i-th of service provider, σiIndicate i-th of service provider
Corresponding invalid Evaluation threshold.
In an embodiment of the present invention, the credible evaluation unit 302, suitable for correspondence is calculated using following formula
Service provider suspicion rate:
Wherein, MPiIndicate the suspicion rate of i-th of service provider, MiThe suspection total degree of i-th of service provider, CiTable
Show the total degree that i-th of service provider is evaluated.
In an embodiment of the present invention, the quantity phase of the preset quantity and the service provider in the Services Composition
It closes, the preset numerical value is 1.
The embodiment of the invention also provides a kind of computer readable storage mediums, are stored thereon with computer instruction, described
The step of industrial Internet of Things service provider credible evaluation method is executed when computer instruction is run.Wherein, the work
Industry Internet of Things service provider credible evaluation method refers to being discussed in detail for preceding sections, repeats no more.
The embodiment of the invention also provides a kind of terminal, including memory and processor, energy is stored on the memory
Enough computer instructions run on the processor, the processor execute the industry when running the computer instruction
The step of Internet of Things service provider credible evaluation method.Wherein, the industrial Internet of Things service provider credible evaluation method
Being discussed in detail for preceding sections is referred to, is repeated no more.
Using the above scheme in the embodiment of the present invention, industrial Internet of Things is completed in processing by obtaining service provider
Cooperation degree evaluation information in service, and the cooperation in industrial Internet of Things service is completed in processing based on the service provider
Evaluation information is spent, untrusted service provider is filtered out from the service provider, industrial Internet of Things service may be implemented and mention
The credible evaluation of supplier, so as to provide industry Internet of Things reliability of service provided by service provider.
The basic principles, main features and advantages of the present invention have been shown and described above.The technology of the industry
Personnel are it should be appreciated that the present invention is not limited to the above embodiments, and the above embodiments and description only describe this
The principle of invention, without departing from the spirit and scope of the present invention, various changes and improvements may be made to the invention, the present invention
Claimed range is delineated by the appended claims, the specification and equivalents thereof from the appended claims.
Claims (8)
1. a kind of industry Internet of Things service provider credible evaluation device characterized by comprising
The cooperation degree evaluation information in industrial Internet of Things service is completed in processing suitable for obtaining service provider in acquiring unit；
Credible evaluation unit, suitable for being commented based on the service provider in the cooperation degree that processing is completed in industrial Internet of Things service
Valence information filters out untrusted service provider from the service provider.
2. industry Internet of Things service provider credible evaluation device according to claim 1, which is characterized in that described credible
Assessment unit, suitable for obtaining the letter for handling all service providers being completed in the Services Composition of industrial Internet of Things service
Breath；All service providers in the Services Composition are traversed, the current service provider of traversal extremely is obtained；It obtains respectively
It takes other service providers in the Services Composition that industrial Internet of Things is completed in processing to current service provider to service
The information of cooperation degree evaluation in journey；Based on acquired cooperation degree evaluation information, its in the Services Composition is calculated separately
His service provider generates the overall merit collection of current service provider to the overall merit numerical value of the current service provider
It closes；Overall merit set based on the service provider calculates the overall merit average value and synthesis of current service provider
Evaluation criterion is poor；Calculate separately the synthesis of each the overall merit numerical value and current service provider in the overall merit set
The difference between average value is evaluated, the corresponding evaluation of current service provider is generated and deviates duration set；Described in being calculated
When comprehensive value model difference is less than preset standard deviation threshold method, the evaluation is deviateed into the biggish preset quantity of numerical value in duration set
A suspection number for evaluating other corresponding service providers of bias increases preset numerical value；When the synthesis being calculated
Evaluation criterion difference is greater than or equal in the standard deviation threshold method and evaluation deviation duration set to exist to be commented in vain greater than corresponding
When the offset of valence threshold value, the suspection time of other corresponding service providers of offset of corresponding invalid Evaluation threshold will be greater than
Number increases the numerical value；Next service provider in the Services Composition is obtained as current service provider, until described
All service providers all complete by traversal in Services Composition；Obtain the suspection time of each service provider in the Services Composition
The information of number and evaluation number；Suspection number and evaluation number based on acquired service provider, are calculated corresponding
The suspicion rate of service provider；When the suspicion rate and evaluation number that are calculated are all larger than corresponding threshold value, by corresponding clothes
Business provider is filtered as untrusted service provider.
3. industry Internet of Things service provider credible evaluation device according to claim 2, which is characterized in that described credible
Assessment unit, suitable for the overall merit numerical value of the service provider is calculated using following formula:
And:
ΔEi=| Ei-Ti(t-Δt)|；
Wherein, EiIndicate the overall merit numerical value of i-th of service provider, Qj,iIndicate that j-th of service provider services i-th
The figure of merit of provider, Ti(t) personal credit worthiness of i-th of service provider in time t, T are indicatedi(t- Δ t) indicates the
I service provider is in time (personal credit worthiness when t- Δ t).
4. industry Internet of Things service provider credible evaluation device according to claim 2, which is characterized in that described invalid
Evaluation threshold is to be calculated based on the corresponding composite rating standard deviation.
5. industry Internet of Things service provider credible evaluation device according to claim 4, which is characterized in that described credible
Assessment unit, suitable for the invalid Evaluation threshold is calculated using following formula:
Wherein, H (σi) indicate the corresponding invalid Evaluation threshold of i-th of service provider, σiIndicate that i-th of service provider is corresponding
Invalid Evaluation threshold.
6. industry Internet of Things service provider credible evaluation device according to claim 2, which is characterized in that described credible
Assessment unit, suitable for the suspicion rate of corresponding service provider is calculated using following formula:
Wherein, MPiIndicate the suspicion rate of i-th of service provider, MiThe suspection total degree of i-th of service provider, CiIndicate the
The total degree that i service provider is evaluated.
7. industry Internet of Things service provider credible evaluation device according to claim 2, which is characterized in that described default
Quantity is related to the quantity of service provider in the Services Composition.
8. industry Internet of Things service provider credible evaluation device according to claim 2, which is characterized in that described default
Numerical value be 1.
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