CN109411038A - Blood information acquisition Compare System and comparison method, storage medium in a kind of blood transfusion - Google Patents
Blood information acquisition Compare System and comparison method, storage medium in a kind of blood transfusion Download PDFInfo
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- CN109411038A CN109411038A CN201811194867.XA CN201811194867A CN109411038A CN 109411038 A CN109411038 A CN 109411038A CN 201811194867 A CN201811194867 A CN 201811194867A CN 109411038 A CN109411038 A CN 109411038A
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Abstract
The invention belongs to blood information comparison technology field, blood information acquisition Compare System and comparison method, storage medium in a kind of blood transfusion are disclosed, system includes: that blood information input module for inputting blood information to be transfused blood compares and analyzes adaptation；Detection comparison-of-pair sorting's module is sorted out respectively for analyzing the blood information inputted in input module；Blood bank's module deposits various blood models for collecting；Sign module is monitored after blood transfusion for monitoring the sign information after patients with transfusion, and carries out timely feedbacking information；When user's sign occurs abnormal, blood transfusion module is acted on, stopping blood transfusion being carried out to user；Blood bank's module includes blood bank's submodule one, blood bank's submodule two, blood bank's submodule three, blood bank's submodule four, respectively corresponds blood group information not of the same race.The present invention avoids the process that medical staff compares blood group during patients with transfusion, and compares accurately, monitors patient sign at any time, timely feedbacks.
Description
Technical field
The invention belongs to blood informations in blood information comparison technology field more particularly to a kind of blood transfusion to acquire Compare System
And comparison method, storage medium.
Background technique
It is ensured in relation to evaluation of assessing and transfuse blood before clinical blood transfusion application, blood transfusion, patients with transfusion overall process record and monitoring etc.
The management regulation of transfusion safety and standardized operation is new edition " medical institutions' blood used in clinic management method ", " clinical defeated in recent years
Blood technical specification " to the latest requirement of the related blood transfusion management regulation such as " the rank hospital appraisal execute standard detailed rules and regulations ".Existing doctor
Institute's related management mode and technology are no longer satisfied new laws and regulations requirement, show administrative vulnerability more outstanding, blood transfusion peace
Full blast danger and medical tangle accident potential risk.
In conclusion problem of the existing technology is:
In traditional blood transfusion compares, medical staff is needed manually to compare, the row for working relatively cumbersome, and generating after transfusing blood
Different reaction cannot get perfect solution.
In the prior art, reliable comparative analysis cannot be carried out to blood information to be transfused blood is inputted, causes adaptation inaccurate
Really；Blood cannot be scheduled as needed when use, the chaotic phenomenon of storage easily occur and occur, it cannot be guaranteed that blood model
Quality and use are safe；Timely feedbacking for information is not accomplished effective for the sign information after monitoring patients with transfusion after blood transfusion.
In the prior art, blood information input module inputs blood information to be transfused blood and compares and analyzes adaptation effect
Difference.
Summary of the invention
In view of the problems of the existing technology, the present invention provides blood information acquisition Compare System and ratios in a kind of blood transfusion
To method, storage medium.
The invention is realized in this way blood information acquires comparison method, blood information in the blood transfusion in a kind of blood transfusion
Acquiring comparison method includes:
Blood information to be transfused blood is inputted by blood information input module and compares and analyzes adaptation；
Distribution calculates the reliability between blood information and blood information to be transfused blood and user's blood information to be transfused blood, benefit
With the reliability for mutually evaluating the blood information node transfused blood between the blood information node of distributed collection blood transfusion, divide
Cloth iteration convergence obtains reliability between the blood information to be transfused blood of group and user's blood information；
Global reliability is obtained between blood information and blood information to be transfused blood and user's blood information in conjunction with blood transfusion, benefit
The blood information reliability value of the blood transfusion of the reliability and group of the group belonging to node is come global according to respective weight COMPREHENSIVE CALCULATING
Reliability；
Malicious node is judged using reliability and rejects malicious node, and the overall situation of each node obtained comprehensively is reliable
Degree is less than reliability on the node revocation network of threshold values；
Reliability degree calculation method specifically includes between the blood information to be transfused blood and user's blood information:
S (i, j) indicates nodes i to the local reliability of node j, and S (I, J) indicates group I to the local reliable of group J
Degree, s (i, j)=sat (i, j)-unsat (i, j)；C (I, J) indicates standardization of the group I to the local reliability of group J, T ' (I) table
Show reliability between the blood information to be transfused blood of crowd I and user's blood information:
Node each first utilizes the lower public reliability for calculating group:
Then the specification of reliability between local blood information and user's blood information to be transfused blood is calculated using following formula
Change:
Utilize following formula in last network between each group of super node, distributed computation each group to be transfused blood
Reliability between blood information and user's blood information:
The blood information inputted in detection comparison-of-pair sorting's module analysis input module, is sorted out respectively；
Various blood models are deposited by blood bank's module collection；
By the sign information after monitoring sign module monitors patients with transfusion after blood transfusion, timely feedback；In user's sign number
When according to occurring abnormal, blood transfusion module is acted on, user being carried out to issue stopping blood transfusion command information.
Further, the blood information reliability degree calculation method of the blood transfusion includes:
Calculate node first is that the blood information node of blood transfusion comments the node in the reliability of the blood information of blood transfusion
Valence, S 'C(i, j) indicates local reliability of the i-node to j node in group C, C 'C(i, j) indicates i-node to j node point reliability
Standardization, T 'C(i) the blood information reliability of the blood transfusion of group C interior nodes i is indicated；
Each node calculates local reliability using following formula:
S′C(i, j)=sat (i, j)-unsat (i, j)；
The standardization of local reliability is calculated using following formula:
Then following formula, each node in distributed computation group C are utilized between the node for the blood information finally transfused blood
Blood transfusion blood information reliability；
Further, it is obtained between the blood information and blood information to be transfused blood and user's blood information of the combination blood transfusion complete
Office's reliability specifically includes:
After reliability calculating is completed between the blood information and blood information to be transfused blood and user's blood information of blood transfusion,
The reliability between the blood information and blood information to be transfused blood and user's blood information of blood transfusion is combined using following formula, is obtained
The global reliability of each node out:
GR (i)=w*T ' (C)+(1-w) * TC(i)；
Initially set up a HP2P network；Then according to the different parameters of network, to having sprinkled different proportion in network
Malicious node between various nodes, including malicious node and ordinary node, malicious node and is disliked after network starts running
It anticipates between node and ordinary node and ordinary node, carries out various transaction, and record oneself evaluation to other side's behavior；And
And each node start distributed computation blood transfusion blood information node point reliability and blood information to be transfused blood with
Reliability between user's blood information, it is reliable between the blood information and blood information to be transfused blood and user's blood information of two kinds of blood transfusions
After degree calculates completion, in conjunction with two reliability values, the global reliability of each node is obtained.
Further, the blood information input module compares and analyzes adaptation for inputting blood information to be transfused blood,
Wherein blood information utilizes status information reliability model, improves the reliability and accuracy of status information in comparative analysis；
Specific blood transfusion expression formula are as follows:
In formula: S1 is the failure threshold of state parameter characteristic quantity；S2 be it is normal under the conditions of state parameter characteristic quantity minimum
Value；
It include m status information in system, the reliability based on each status information distinguishes R2,1, R2,2..., R2, m；Cause
This, the system dependability R of the assessment models based on status information2It indicates are as follows:
R2=g (R2,1, R2,2..., R2, m)
It rewrites are as follows:
R2=R2,1R2,2..., R2, m；
Blood bank's module deposits various blood models for collecting, and using data cloud storing data library, effectively deposits according to blood model
Store up a large amount of blood, when use is as needed scheduled blood, avoids the occurrence of the chaotic phenomenon of storage and occurs, guarantees blood
Model quality and use are safe.
Under the weighted index of the data distribution of blood model storage, the tagsort weight a in data cloud storing data libraryi's
Attribute value is p, and under effective database access request, the datum number storage in cloud computing storing data library is according to model, and description is such as
Under:
Wherein, the data initial schedule grid assignment that blood model stores in cloud computing storing data library is expressed as；
U×A→V
The grid distributed areas fitting that cloud storage database is carried out using adaptive channel method of weighting, obtains database point
The network of cloth are as follows:
In formula: an (t) is the T/F union feature analysis on nth data memory channels；
τ n (t) is that nth data storage path extends time delay；
Fc is the data attribute weight in cloud computing storing data library；
Setting fuzzy operator is mapped to synthetic evaluation matrix, carries out initialization gridding scheduling, obtains cloud computing storing data
The mapping relations of the transmission path of library data memory node are as follows:
In formula: ai and τ i is the propagation loss and biography for the data that digitizer stores in cloud computing storing data library respectively
Pass time delay.
The state space reconstruction of the data characteristics distribution of blood model are as follows:
Wy(t, v)=Wx(kt, v/k)
In formula: k indicates data information sample frequency；
The memory bandwidth in v expression cloud computing storing data library；
Wx is time window function.
The static quantization information model of the data information in the cloud computing storing data library of the data of blood model storage are as follows:
Max F (X)=(F1 (X), F2 (X) ..., Fn (X))
s.t.gj(X)≤0, j=1,2 ..., p
hk(X)=0, k=1,2 ..., p
In formula: gjIt (X) is mixed model parameter.
In the case where blood model stores scatterplot state, the attribute of the data characteristics classification based training collection of blood model storage are as follows:
Vi(t+1)=wVi (t)+c1×rand(·)×(Pi-Xi(t))+c2×rand(·)×(Pg-Xi(t))
Binding time sequence analysis method obtains the scheduling concepts lattice of the Data Storage Models of blood model are as follows:
Further, sign module is monitored after blood transfusion, and using RFID technique, the information electricity of sign module is monitored after driving blood transfusion
Information reading capability is improved on road, for monitoring the sign information after patients with transfusion, timely feedbacks；
Equipped with m information to be identified, is pitched and set using L, when search depth is 1, the identification probability of label are as follows:
P (1)=[1-L-1]m-1
In information batch reading process, using super high frequency radio frequency identification technology, the mean value of the search depth of data is obtained are as follows:
All information all work in the frequency range of reader, after reader wakes up all information, obtain average timeslot number
Are as follows:
Empty Hash table data are sent into TABLE, using Binomial Trees, then monitor the information of sign module after transfusing blood
Timeslot number is merged in the stratification that batch reads data are as follows:
Using RFID technique, the information circuit that sign module is monitored after driving blood transfusion sends out internal data, reads at this time
It reads device and receives data by corresponding sequence, the level of information fusion results of sign module are monitored after being transfused blood are as follows:
By above-mentioned processing, retain first Full-automatic digital facility information exported, filtered data need
Original acquisition order is kept, the information reading capability for improving monitoring sign module after transfusing blood effectively grasps the sign letter after blood transfusion
Breath, accomplishes to timely feedback.
Another object of the present invention is to provide a kind of calculating for realizing blood information acquisition comparison method in the blood transfusion
Machine program.
Another object of the present invention is to provide a kind of information for realizing blood information acquisition comparison method in the blood transfusion
Data processing terminal.
Another object of the present invention is to provide a kind of computer readable storage mediums, including instruction, when it is in computer
When upper operation, so that computer executes blood information in the blood transfusion and acquires comparison method.
Another object of the present invention is to provide a kind of blood transfusions for realizing blood information acquisition comparison method in the blood transfusion
Middle blood information acquires Compare System, and blood information acquisition Compare System includes: in the blood transfusion
Blood information input module compares and analyzes adaptation for inputting blood information to be transfused blood；
Detection comparison-of-pair sorting's module is sorted out respectively for analyzing the blood information inputted in input module；
Blood bank's module deposits various blood models for collecting；
Blood transfusion module；For executing blood transfusion movement；
Sign module is monitored after blood transfusion, for monitoring the sign information after patients with transfusion, and carries out timely feedbacking information；?
When patient sign occurs abnormal, blood transfusion module is acted on, stopping blood transfusion being carried out to user；
Blood bank's module includes blood bank's submodule one, blood bank's submodule two, blood bank's submodule three, blood bank's submodule four, described
Four submodules respectively correspond blood group information not of the same race；
It detects and is equipped with judgment mechanism between comparison-of-pair sorting's module and each blood bank's submodule, judgment mechanism is included in detection pair
After detecting blood group to be transfused blood than categorization module, is matched with blood bank module, successively matched with four blood bank's submodules
Clock synchronization generates two orders and continues to transfuse blood in successful matching when with blood bank's one comparison of submodule, when pairing fails
When continue to match, matched with blood bank submodule two.
Another object of the present invention is to provide blood information acquisitions in a kind of blood transfusion to compare source of early warning, in described defeated
Blood information acquisition compares source of early warning and at least carries blood information acquisition Compare System in the blood transfusion in blood.
Advantages of the present invention and good effect are as follows:
The invention is equipped with blood information input module and compares and analyzes adaptation for inputting blood information to be transfused blood；If
There is detection comparison-of-pair sorting's module, detection comparison-of-pair sorting's module is distinguished for analyzing the blood information inputted in input module
Sort out；Equipped with blood bank's module, blood bank's module deposits various blood models for collecting；Equipped with blood transfusion module, and including four sons
Module, comparison is clear and accurate, monitors sign module after being additionally provided with blood transfusion, and sign module is monitored after the blood transfusion for monitoring patient
Sign information after blood transfusion, timely feedbacks, and can prevent unexpected generation.
Blood information input module of the invention compares and analyzes adaptation for inputting blood information to be transfused blood,
Middle blood information utilizes status information reliability model, improves the reliability and accuracy of status information in comparative analysis, favorably
In the expansion of adaptation work；Blood bank's module deposits various blood models for collecting, and using data cloud storing data library, can effectively press
A large amount of blood is stored according to blood model, and when use is as needed scheduled blood, avoids the occurrence of the chaotic phenomenon of storage
Occur, guarantee blood model quality and using safe: monitoring sign module after blood transfusion, using RFID technique, is supervised after driving blood transfusion
The information circuit of sign module is surveyed, information reading capability is improved, it is anti-in time effective for the sign information after monitoring patients with transfusion
Feedback.
The blood information input module compares and analyzes adaptation for inputting blood information to be transfused blood, wherein blood
Liquid use of information status information reliability model improves the reliability and accuracy of status information in comparative analysis.
Blood bank's module deposits various blood models for collecting, and using data cloud storing data library, effectively deposits according to blood model
Store up a large amount of blood, when use is as needed scheduled blood, avoids the occurrence of the chaotic phenomenon of storage and occurs, guarantees blood
Model quality and use are safe.
Blood information input module of the present invention compares and analyzes in adaptation for inputting blood information to be transfused blood, and compares
In EigenTrust algorithm, method of the invention can allow the reliability rating of malicious node lower, so that whole system can be more preferable
The latent malicious node of detection, avoid the occurrence of blood mistake.Possess lower wrong report and rate of failing to report.Calculation can significantly be reduced
Method restrains the required time, and the result of analog simulation also illustrates, the time needed for can significantly reduce algorithmic statement.Reach quick
Judge information.
Detailed description of the invention
Fig. 1 is the structural representation of blood information acquisition Compare System and comparison method in blood transfusion provided in an embodiment of the present invention
Figure；
In figure: 1, blood information input module；2, comparison-of-pair sorting's module is detected；3, blood bank's module；4, blood bank's submodule one；
5, blood bank's submodule two；6, blood bank's submodule three；7, blood bank's submodule four；8, blood transfusion module；9, sign module is monitored after transfusing blood.
Fig. 2 is that blood information acquires comparison method flow chart in blood transfusion provided in an embodiment of the present invention.
Specific embodiment
In order to further understand the content, features and effects of the present invention, the following examples are hereby given, and cooperate attached drawing
Detailed description are as follows.
Structure of the invention is explained in detail with reference to the accompanying drawing.
Blood information acquisition Compare System and comparison method are provided with blood information input module 1, detection in the blood transfusion
Comparison-of-pair sorting's module 2, blood bank's module 3, blood bank's submodule 1, blood bank's submodule 25, blood bank's submodule 36, blood bank's submodule
47, sign module 9 is monitored after blood transfusion module 8, blood transfusion.
The blood information input module 1 compares and analyzes adaptation for inputting blood information to be transfused blood；Include
Comparison-of-pair sorting's module 2 is detected, detection comparison-of-pair sorting's module 2 is carried out for analyzing the blood information inputted in input module
Sort out respectively；It include blood bank's module 3, blood bank's module 3 deposits various blood models for collecting；It include blood transfusion module 8；Also
Include to monitor sign module 9 after transfusing blood, sign module 5 is monitored after the blood transfusion for the sign letter after monitoring patients with transfusion
Breath, timely feedbacks.
Blood bank's module 3 includes blood bank's submodule 1, blood bank's submodule 25, blood bank's submodule 36, blood bank's submodule
47, four submodules respectively correspond blood group not of the same race.
Judgment mechanism, the judgment mechanism packet are equipped between the detection comparison-of-pair sorting module 2 and each blood bank's submodule
Include after detection comparison-of-pair sorting's module 2 detects blood group to be transfused blood, matched with blood bank module 3, successively with four
Blood bank's submodule matches clock synchronization, when with blood bank's one 4 comparison of submodule, generates two orders and continues defeated in successful matching
Blood module continues to match when matching failure, i.e., matches with blood bank submodule 25.
Sign module 9 is monitored after the blood transfusion for monitoring the sign information after patients with transfusion, is occurred in patient sign different
Chang Shi acts on blood transfusion module 8, carries out stopping blood transfusion to patient.
Such as Fig. 2, blood information acquisition comparison method includes: in blood transfusion provided in an embodiment of the present invention
S101: blood information to be transfused blood is inputted by blood information input module and compares and analyzes adaptation；
S102: the blood information inputted in detection comparison-of-pair sorting's module analysis input module is sorted out respectively；
S103: various blood models are deposited by blood bank's module collection；
S104: it by the sign information after monitoring sign module monitors patients with transfusion after blood transfusion, timely feedbacks；In user's body
When levying data appearance exception, blood transfusion module is acted on, user is carried out to issue stopping blood transfusion command information.
The blood information input module compares and analyzes adaptation for inputting blood information to be transfused blood, wherein blood
Liquid use of information status information reliability model improves the reliability and accuracy of status information in comparative analysis；
Specific blood transfusion expression formula are as follows:
In formula: S1 is the failure threshold of state parameter characteristic quantity；S2 be it is normal under the conditions of state parameter characteristic quantity minimum
Value；
It include m status information in system, the reliability based on each status information distinguishes R2,1, R2,2..., R2, m；Cause
This, the system dependability R of the assessment models based on status information2It indicates are as follows:
R2=g (R2,1, R2,2..., R2, m)
It rewrites are as follows:
R2=R2,1R2,2..., R2, m；
Blood bank's module deposits various blood models for collecting, and using data cloud storing data library, effectively deposits according to blood model
Store up a large amount of blood, when use is as needed scheduled blood, avoids the occurrence of the chaotic phenomenon of storage and occurs, guarantees blood
Model quality and use are safe.
Under the weighted index of the data distribution of blood model storage, the tagsort weight a in data cloud storing data libraryi's
Attribute value is p, and under effective database access request, the datum number storage in cloud computing storing data library is according to model, and description is such as
Under:
Wherein, the data initial schedule grid assignment that blood model stores in cloud computing storing data library is expressed as；
U×A→V
The grid distributed areas fitting that cloud storage database is carried out using adaptive channel method of weighting, obtains database point
The network of cloth are as follows:
In formula: an (t) is the T/F union feature analysis on nth data memory channels；
τ n (t) is that nth data storage path extends time delay；
Fc is the data attribute weight in cloud computing storing data library；
Setting fuzzy operator is mapped to synthetic evaluation matrix, carries out initialization gridding scheduling, obtains cloud computing storing data
The mapping relations of the transmission path of library data memory node are as follows:
In formula: ai and τ i is the propagation loss and biography for the data that digitizer stores in cloud computing storing data library respectively
Pass time delay.
The state space reconstruction of the data characteristics distribution of blood model are as follows:
Wy(t, v)=Wx(kt, v/k)
In formula: k indicates data information sample frequency；
The memory bandwidth in v expression cloud computing storing data library；
Wx is time window function.
The static quantization information model of the data information in the cloud computing storing data library of the data of blood model storage are as follows:
Max F (X)=(F1 (X), F2 (X) ..., Fn (X))
s.t.gj(X)≤0, j=1,2 ..., p
hk(X)=0, k=1,2 ..., p
In formula: gjIt (X) is mixed model parameter.
In the case where blood model stores scatterplot state, the attribute of the data characteristics classification based training collection of blood model storage are as follows:
Vi(t+1)=wVi (t)+c1×rand(·)×(Pi-Xi(t))+c2×rand(·)×(Pg-Xi(t))
Binding time sequence analysis method obtains the scheduling concepts lattice of the Data Storage Models of blood model are as follows:
Sign module is monitored after blood transfusion, using RFID technique, the information circuit of sign module is monitored after driving blood transfusion, is improved
Information reading capability is timely feedbacked for monitoring the sign information after patients with transfusion；
Equipped with m information to be identified, is pitched and set using L, when search depth is 1, the identification probability of label are as follows:
P (1)=[1-L-1]m-1
In information batch reading process, using super high frequency radio frequency identification technology, the mean value of the search depth of data is obtained are as follows:
All information all work in the frequency range of reader, after reader wakes up all information, obtain average timeslot number
Are as follows:
Empty Hash table data are sent into TABLE, using Binomial Trees, then monitor the information of sign module after transfusing blood
Timeslot number is merged in the stratification that batch reads data are as follows:
Using RFID technique, the information circuit that sign module is monitored after driving blood transfusion sends out internal data, reads at this time
It reads device and receives data by corresponding sequence, the level of information fusion results of sign module are monitored after being transfused blood are as follows:
By above-mentioned processing, retain first Full-automatic digital facility information exported, filtered data need
Original acquisition order is kept, the information reading capability for improving monitoring sign module after transfusing blood effectively grasps the sign letter after blood transfusion
Breath, accomplishes to timely feedback.
Below with reference to concrete analysis, the invention will be further described.
The present invention inputs blood information to be transfused blood by blood information input module and compares and analyzes adaptation；
Distribution calculates the reliability between blood information and blood information to be transfused blood and user's blood information to be transfused blood, benefit
With the reliability for mutually evaluating the blood information node transfused blood between the blood information node of distributed collection blood transfusion, divide
Cloth iteration convergence obtains reliability between the blood information to be transfused blood of group and user's blood information；
Global reliability is obtained between blood information and blood information to be transfused blood and user's blood information in conjunction with blood transfusion, benefit
The blood information reliability value of the blood transfusion of the reliability and group of the group belonging to node is come global according to respective weight COMPREHENSIVE CALCULATING
Reliability；
Malicious node is judged using reliability and rejects malicious node, and the overall situation of each node obtained comprehensively is reliable
Degree is less than reliability on the node revocation network of threshold values；
Reliability degree calculation method specifically includes between the blood information to be transfused blood and user's blood information:
S (i, j) indicates nodes i to the local reliability of node j, and S (I, J) indicates group I to the local reliable of group J
Degree, s (i, j)=sat (i, j)-unsat (i, j)；C (I, J) indicates standardization of the group I to the local reliability of group J, T ' (I) table
Show reliability between the blood information to be transfused blood of crowd I and user's blood information:
Node each first utilizes the lower public reliability for calculating group:
Then the specification of reliability between local blood information and user's blood information to be transfused blood is calculated using following formula
Change:
Utilize following formula in last network between each group of super node, distributed computation each group to be transfused blood
Reliability between blood information and user's blood information:
The blood information reliability degree calculation method of the blood transfusion includes:
Calculate node first is that the blood information node of blood transfusion comments the node in the reliability of the blood information of blood transfusion
Valence, S 'C(i, j) indicates local reliability of the i-node to j node in group C, C 'C(i, j) indicates i-node to j node point reliability
Standardization, T 'C(i) the blood information reliability of the blood transfusion of group C interior nodes i is indicated；
Each node calculates local reliability using following formula:
S′C(i, j)=sat (i, j)-unsat (i, j)；
The standardization of local reliability is calculated using following formula:
Then following formula, each node in distributed computation group C are utilized between the node for the blood information finally transfused blood
Blood transfusion blood information reliability；
It is obtained between the blood information and blood information to be transfused blood and user's blood information of the combination blood transfusion global reliable
Degree specifically includes:
After reliability calculating is completed between the blood information and blood information to be transfused blood and user's blood information of blood transfusion,
The reliability between the blood information and blood information to be transfused blood and user's blood information of blood transfusion is combined using following formula, is obtained
The global reliability of each node out:
GR (i)=w*T ' (C)+(1-w) * TC(i)；
Initially set up a HP2P network: and then different parameters according to network, to having sprinkled different proportion in network
Malicious node between various nodes, including malicious node and ordinary node, malicious node and is disliked after network starts running
It anticipates between node and ordinary node and ordinary node, carries out various transaction, and record oneself evaluation to other side's behavior；And
And each node start distributed computation blood transfusion blood information node point reliability and blood information to be transfused blood with
Reliability between user's blood information, it is reliable between the blood information and blood information to be transfused blood and user's blood information of two kinds of blood transfusions
After degree calculates completion, in conjunction with two reliability values, the global reliability of each node is obtained.
The working principle of the invention is: the device is used to input blood letter to be transfused blood by blood information input module 1
Breath compares and analyzes adaptation；By detecting comparison-of-pair sorting's module 2, detection comparison-of-pair sorting's module 2 is for analyzing in input module
The blood information of input, is sorted out respectively；By blood bank's module 3 and its submodule, blood bank's module 3 deposits various blood for collecting
Model；By transfusing blood, blood bank's submodule that module 8 has been compared is transfused blood；It is described by monitoring sign module 9 after blood transfusion
Sign module 9 is monitored after blood transfusion for monitoring the sign information after patients with transfusion, is timely feedbacked.
In the above-described embodiments, can come wholly or partly by software, hardware, firmware or any combination thereof real
It is existing.When using entirely or partly realizing in the form of a computer program product, the computer program product include one or
Multiple computer instructions.When loading on computers or executing the computer program instructions, entirely or partly generate according to
Process described in the embodiment of the present invention or function.The computer can be general purpose computer, special purpose computer, computer network
Network or other programmable devices.The computer instruction may be stored in a computer readable storage medium, or from one
Computer readable storage medium is transmitted to another computer readable storage medium, for example, the computer instruction can be from one
A web-site, computer, server or data center pass through wired (such as coaxial cable, optical fiber, Digital Subscriber Line (DSL)
Or wireless (such as infrared, wireless, microwave etc.) mode is carried out to another web-site, computer, server or data center
Transmission).The computer-readable storage medium can be any usable medium or include one that computer can access
The data storage devices such as a or multiple usable mediums integrated server, data center.The usable medium can be magnetic Jie
Matter, (for example, floppy disk, hard disk, tape), optical medium (for example, DVD) or semiconductor medium (such as solid state hard disk Solid
State Disk (SSD)) etc..
The above is only the preferred embodiments of the present invention, and is not intended to limit the present invention in any form,
Any simple modification made to the above embodiment according to the technical essence of the invention, equivalent variations and modification, belong to
In the range of technical solution of the present invention.
Claims (10)
1. blood information acquires comparison method in a kind of blood transfusion, which is characterized in that other side is compared in blood information acquisition in the blood transfusion
Method includes:
Blood information to be transfused blood is inputted by blood information input module and compares and analyzes adaptation；
Distribution calculates reliability between blood information and blood information to be transfused blood and user's blood information to be transfused blood, using point
Cloth collects the reliability for mutually evaluating the blood information node transfused blood between the blood information node of blood transfusion, distributed
Iteration convergence obtains reliability between the blood information to be transfused blood of group and user's blood information；
Global reliability is obtained between blood information and blood information to be transfused blood and user's blood information in conjunction with blood transfusion, utilizes section
The blood information reliability value of the blood transfusion of the reliability and group of group belonging to point is come global reliable according to respective weight COMPREHENSIVE CALCULATING
Degree；
Malicious node is judged using reliability and rejects malicious node, the global reliability of each node obtained comprehensively,
Reliability is less than the node revocation network of threshold values；
Reliability degree calculation method specifically includes between the blood information to be transfused blood and user's blood information:
S (i, j) indicates nodes i to the local reliability of node j, and S (I, J) indicates local reliability of the group I to group J, s
(i, j)=sat (i, j)-unsat (i, j)；C (I, J) indicates standardization of the group I to the local reliability of group J, and T ' (I) indicates group
Reliability between the blood information to be transfused blood and user's blood information of I:
Node each first utilizes the lower public reliability for calculating group:
Then the standardization of reliability between local blood information and user's blood information to be transfused blood is calculated using following formula:
Following formula, distributed computation each group blood to be transfused blood are utilized between each group of super node in last network
Reliability between information and user's blood information:
The blood information inputted in detection comparison-of-pair sorting's module analysis input module, is sorted out respectively；
Various blood models are deposited by blood bank's module collection；
By the sign information after monitoring sign module monitors patients with transfusion after blood transfusion, timely feedback；Go out in user's sign data
When now abnormal, blood transfusion module is acted on, user is carried out to issue stopping blood transfusion command information.
2. blood information acquires comparison method in blood transfusion as described in claim 1, which is characterized in that the blood of the blood transfusion is believed
Ceasing reliability degree calculation method includes:
Calculate node is evaluation of the blood information node of blood transfusion to the node in the reliability of the blood information of blood transfusion first,
S′C(i, j) indicates local reliability of the i-node to j node in group C, C 'C(i, j) indicates i-node to the specification of j node point reliability
Change, T 'C(i) the blood information reliability of the blood transfusion of group C interior nodes i is indicated；
Each node calculates local reliability using following formula:
S′C(i, j)=sat (i, j)-unsat (i, j)；
The standardization of local reliability is calculated using following formula:
Then following formula is utilized between the node for the blood information finally transfused blood, each node is defeated in distributed computation group C
The blood information reliability of blood；
3. blood information acquires comparison method in blood transfusion as described in claim 1, which is characterized in that
Global reliability tool is obtained between the blood information and blood information to be transfused blood and user's blood information of the combination blood transfusion
Body includes:
After reliability calculating is completed between the blood information and blood information to be transfused blood and user's blood information of blood transfusion, utilize
Following formula combines the reliability between the blood information and blood information to be transfused blood and user's blood information of blood transfusion, obtains every
The global reliability of a node:
GR (i)=w*T ' (C)+(1-w) * TC(i)；
Initially set up a HP2P network；Then according to the different parameters of network, to the malice for having sprinkled different proportion in network
Node, after network starts running, between various nodes, including malicious node and ordinary node, malicious node and malice are saved
Between point and ordinary node and ordinary node, various transaction are carried out, and record oneself evaluation to other side's behavior；And
Each node starts the blood information node point reliability that distributed computation is transfused blood and blood information to be transfused blood and user
Reliability between blood information, reliability meter between the blood information and blood information to be transfused blood and user's blood information of two kinds of blood transfusions
It calculates after completing, in conjunction with two reliability values, obtains the global reliability of each node.
4. blood information acquires comparison method in blood transfusion as described in claim 1, which is characterized in that
The blood information input module compares and analyzes adaptation for inputting blood information to be transfused blood, and wherein blood is believed
Breath utilizes status information reliability model, improves the reliability and accuracy of status information in comparative analysis；
Specific blood transfusion expression formula are as follows:
In formula: S1 is the failure threshold of state parameter characteristic quantity；S2 be it is normal under the conditions of state parameter characteristic quantity minimum value；
It include m status information in system, the reliability based on each status information distinguishes R2,1, R2,2..., R2, m；Therefore, base
In the system dependability R of the assessment models of status information2It indicates are as follows:
R2=g (R2,1, R2,2..., R2, m)
It rewrites are as follows:
R2=R2,1R2,2..., R2, m；
Blood bank's module deposits various blood models for collecting, and under the weighted index of the data distribution of blood model storage, data cloud is deposited
Store up the tagsort weight a of databaseiAttribute value be p, under effective database access request, cloud computing storing data library
Datum number storage according to model, be described as follows:
Wherein, the data initial schedule grid assignment that blood model stores in cloud computing storing data library is expressed as；
U×A→V
The grid distributed areas fitting that cloud storage database is carried out using adaptive channel method of weighting, obtains database distribution
Network are as follows:
In formula: an (t) is the T/F union feature analysis on nth data memory channels；
τ n (t) is that nth data storage path extends time delay；
Fc is the data attribute weight in cloud computing storing data library；
Setting fuzzy operator is mapped to synthetic evaluation matrix, carries out initialization gridding scheduling, obtains cloud computing storing data library number
According to the mapping relations of the transmission path of memory node are as follows:
In formula: when ai and τ i is the propagation loss and transmitting for the data that digitizer stores in cloud computing storing data library respectively
Prolong.
The state space reconstruction of the data characteristics distribution of blood model are as follows:
Wy(t, v)=Wx(kt, v/k)
In formula: k indicates data information sample frequency；
The memory bandwidth in v expression cloud computing storing data library；
Wx is time window function.
The static quantization information model of the data information in the cloud computing storing data library of the data of blood model storage are as follows:
Max F (X)=(F1 (X), F2 (X) ..., Fn (X))
s.t.gj(X)≤0, j=1,2 ..., p
hk(X)=0, k=1,2 ..., p
In formula: gjIt (X) is mixed model parameter.
In the case where blood model stores scatterplot state, the attribute of the data characteristics classification based training collection of blood model storage are as follows:
Vi(t+1)=wVi (t)+c1×rand(·)×(Pi-Xi(t))+c2×rand(·)×(Pg-Xi(t))
Binding time sequence analysis method obtains the scheduling concepts lattice of the Data Storage Models of blood model are as follows:
5. blood information acquires comparison method in blood transfusion as described in claim 1, which is characterized in that
Sign module is monitored after blood transfusion, using RFID technique, the information circuit of sign module is monitored after driving blood transfusion, improves information
Reading capability is timely feedbacked for monitoring the sign information after patients with transfusion；
Equipped with m information to be identified, is pitched and set using L, when search depth is 1, the identification probability of label are as follows:
P (1)=[1-L-1]m-1
In information batch reading process, using super high frequency radio frequency identification technology, the mean value of the search depth of data is obtained are as follows:
All information all work in the frequency range of reader, after reader wakes up all information, obtain average timeslot number are as follows:
Empty Hash table data are sent into TABLE, using Binomial Trees, then monitor the information batch of sign module after transfusing blood
Timeslot number is merged in the stratification for reading data are as follows:
Using RFID technique, the information circuit that sign module is monitored after driving blood transfusion sends out internal data, at this time reader
Data are received by corresponding sequence, the level of information fusion results of sign module are monitored after being transfused blood are as follows:
By above-mentioned processing, retain first Full-automatic digital facility information exported, filtered data need to keep
Acquisition order originally, the information reading capability for improving monitoring sign module after transfusing blood effectively grasp the sign information after blood transfusion,
Accomplish to timely feedback.
6. a kind of computer program for realizing blood information acquisition comparison method in blood transfusion described in Claims 1 to 5 any one.
7. a kind of realize in blood transfusion described in Claims 1 to 5 any one at the information data of blood information acquisition comparison method
Manage terminal.
8. a kind of computer readable storage medium, including instruction, when run on a computer, so that computer is executed as weighed
Benefit requires blood information in blood transfusion described in 1-5 any one to acquire comparison method.
9. a kind of realize that blood information acquires blood in the blood transfusion of comparison method in blood transfusion described in Claims 1 to 5 any one
Information collection Compare System, which is characterized in that blood information acquisition Compare System includes: in the blood transfusion
Blood information input module compares and analyzes adaptation for inputting blood information to be transfused blood；
Detection comparison-of-pair sorting's module is sorted out respectively for analyzing the blood information inputted in input module；
Blood bank's module deposits various blood models for collecting；
Blood transfusion module；For executing blood transfusion movement；
Sign module is monitored after blood transfusion, for monitoring the sign information after patients with transfusion, and carries out timely feedbacking information；In user
When sign occurs abnormal, blood transfusion module is acted on, stopping blood transfusion being carried out to user；
Blood bank's module includes blood bank's submodule one, blood bank's submodule two, blood bank's submodule three, blood bank's submodule four, and described four
Submodule respectively corresponds blood group information not of the same race；
It detects and is equipped with judgment mechanism between comparison-of-pair sorting's module and each blood bank's submodule, judgment mechanism is included in detection to score
It after generic module detects blood group to be transfused blood, is matched with blood bank module, is successively matching clock synchronization with four blood bank's submodules,
When being compared with blood bank submodule one, generate two orders and continue to transfuse blood in successful matching, when pairing unsuccessfully when after
It is continuous to be matched, it is matched with blood bank submodule two.
10. blood information acquisition compares source of early warning in a kind of blood transfusion, which is characterized in that blood information acquires ratio in the blood transfusion
Blood information in blood transfusion as claimed in claim 9 is at least carried to source of early warning acquires Compare System.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109948489A (en) * | 2019-03-09 | 2019-06-28 | 闽南理工学院 | A kind of face identification system and method based on the fusion of video multiframe face characteristic |
| CN113380405A (en) * | 2021-03-11 | 2021-09-10 | 东莞市人民医院 | Mobile health management platform and control method thereof |
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2018
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109948489A (en) * | 2019-03-09 | 2019-06-28 | 闽南理工学院 | A kind of face identification system and method based on the fusion of video multiframe face characteristic |
| CN113380405A (en) * | 2021-03-11 | 2021-09-10 | 东莞市人民医院 | Mobile health management platform and control method thereof |
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