CN110457425A - A kind of case storage method, device, equipment and storage medium - Google Patents
A kind of case storage method, device, equipment and storage medium Download PDFInfo
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Abstract
This application discloses a kind of case storage method, device, equipment and storage mediums, and in this scenario, the whole network for realizing fault case using block chain network is shared, at the same ensure that fault case safety and can not tamper.On this basis, either block chain node can classify the fault case in current block chain network according to fault type, to can get multiple feature cases, the feature case being achieved in that will record fault message and corresponding restoration information comprehensively, so that comprehensive record of feature case can be realized.Further, the feature critical character in multiple feature cases is determined as search index, and search index library is updated according to search index；Updated search index library and multiple feature cases are stored to current block chain network, so all block chain nodes of access current block chain network can sharing feature case, search index can be passed through when necessary and retrieve correlated characteristic case.
Description
Technical field
This application involves block chain technical field, in particular to a kind of case storage method, device, equipment and storage are situated between
Matter.
Background technique
Under normal conditions, people are accustomed to the restoration information of the failure and special and the failure and special of machine or other objects
It is stored as classical case, when encountering corresponding failure again, history case can be referred to, carry out repairing for current failure
It is multiple.But existing recording mode only will record individual case, and also can all have for information such as the historical failures of certain an object
Record missing causes the reference value of case that can also decrease to reduce the authenticity of case history and comprehensive.
Summary of the invention
In view of this, the application's is designed to provide a kind of case storage method, device, equipment and storage medium, with
Comprehensive, true case is obtained, and realizes the shared of case.Its concrete scheme is as follows:
To achieve the above object, on the one hand, this application provides a kind of case storage methods, are applied to either block chain link
Point, comprising:
Obtain the fault case of multiple objects in current block chain network；The fault case includes: existing object
At least one fault message and corresponding restoration information；
Multiple fault cases are classified according to fault type, obtain multiple feature cases；Each feature case
Record has the fault message and corresponding restoration information of at least one object；
Feature critical character in multiple feature cases is determined as search index, and more according to the search index
New search index library；
Updated search index library and multiple feature cases are stored to the current block chain network.
Another aspect, present invention also provides a kind of case storage devices, are applied to either block chain node, comprising:
Module is obtained, for obtaining the fault case of multiple objects in current block chain network；The fault case packet
It includes: at least one fault message and corresponding restoration information of existing object；
Categorization module obtains multiple feature cases for multiple fault cases to be classified according to fault type；
Each feature case history has the fault message and corresponding restoration information of at least one object；
Update module, for the feature critical character in multiple feature cases to be determined as search index, and according to
The search index updates search index library；
Memory module, for storing in updated search index library and multiple feature cases to the current block
Chain network.
Another aspect, present invention also provides a kind of electronic equipment, the electronic equipment includes processor and memory；Its
In, the memory is for storing computer program, before the computer program is loaded by the processor and executed to realize
State disclosed case storage method.
It is executable to be stored with computer present invention also provides a kind of storage medium for another aspect in the storage medium
Instruction when the computer executable instructions are loaded and executed by processor, realizes aforementioned disclosed case storage method.
The application is applied to either block chain node, that is to say, that the executable the application of either block chain node provides
Case storage method.Wherein, current block chain network is stored with the fault case of multiple objects, since block chain has information
Publicity and higher safety, therefore fault case is stored using block chain network, the whole network that fault case may be implemented is total
Enjoy, at the same guarantee fault case safety and can not tamper.On this basis, either block chain node can also will be current
Fault case in block chain network is classified according to fault type, to can get multiple feature cases, is achieved in that
Feature case will record the fault message and corresponding restoration information of some object or multiple objects comprehensively.Further,
Feature critical character in multiple feature cases is determined as search index, and search index is updated according to search index
Library；Updated search index library and multiple feature cases are stored to current block chain network, in this way access current block chain
All block chain nodes of network can sharing feature case.When the failure of certain an object, can be retrieved by search index
Correlated characteristic case, so that the reparation for current failure provides reliable, true and comprehensive reference case.
Correspondingly, case storage device, equipment and storage medium provided by the present application similarly have above-mentioned technology effect
Fruit.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The embodiment of application for those of ordinary skill in the art without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
Fig. 1 is a kind of case storage system configuration diagram provided by the present application；
Fig. 2 is the first case storage method flow chart provided by the present application；
Fig. 3 is second of case storage method flow chart provided by the present application；
Fig. 4 is the third case storage method flow chart provided by the present application；
Fig. 5 is a kind of block chain network schematic diagram provided by the present application；
Fig. 6 is a kind of medical cases storage method flow chart provided by the present application；
Fig. 7 is a kind of natural person's case notes schematic diagram provided by the present application；
Fig. 8 is the first feature case history schematic diagram provided by the present application；
Fig. 9 is second of feature case history schematic diagram provided by the present application；
Figure 10 is a kind of search result schematic diagram provided by the present application；
Figure 11 is a kind of case storage device schematic diagram provided by the present application；
Figure 12 is a kind of server architecture figure provided by the present application；
Figure 13 is a kind of terminal structure figure provided by the present application.
Specific embodiment
Currently, existing recording mode only will record individual case, and for information such as the historical failures of certain an object
There will be record to lack, to reduce the authenticity of case history and comprehensive, cause the reference value of case also can be therewith
It reduces.In view of the above problem existing at present, present applicant proposes a kind of case storage schemes, pass through the technical solution, energy
Comprehensive, true case is enough obtained, and realizes the shared of case.
In order to make it easy to understand, the system architecture being applicable in below technical solution disclosed in the present application is introduced.It please join
See Fig. 1, it illustrates a kind of system architectures that the application is applicable in.
As shown in Figure 1, case storage system framework disclosed in the present application may include user terminal 11, server 12 and area
Block chain network 13.
Wherein, user terminal 11 can be preassembled client, user can be inputted on human-computer interaction interface to
The fault case of upload.Wherein, fault case is sent to server 12 after getting fault case by user terminal 11, into
And fault case is uploaded to corresponding block chain node by server 12.It is understood that the user terminal 11 in the application
It include but is not limited to the smart phone for being mounted with above-mentioned client, tablet computer, wearable device and desktop computer etc..Its
In, user terminal 11 can be also used for the fault case stored in inquiry block chain network 13.
In the application, server 12 can specifically refer to for realizing the private server of single business, different services
Device 12 is respectively used to realize different business.Server 12 is established by network and user terminal 11 and is communicated to connect.Server 12
The fault case of the transmission of user terminal 11 is got, and after fault case is uploaded to corresponding block chain node, block chain link
Point can execute case storage method provided by the present application.It is understood that the server 12 in the present embodiment includes but not
It is limited to Cloud Server, physical server and virtual server etc..
It is understood that block chain network 13 includes multiple block chain nodes 130.When the failure case that server 12 is submitted
For example on either block chain node 130 after success cochain, above-mentioned fault case will be quickly transferred to it within grade period second
He saves block chain node 130, the shared storage fault case of each block chain node 130.In this application, block link network
It can recorde block-identified symbol, case storage record and cryptographic Hash corresponding with fault case in the either block of network 13.
Wherein, the block-identified symbol carries out what Hash processing obtained later to the block head of a upper block either referring to
Identifier may also mean that the block height of current block；Case storage record may include fault case and corresponding
Timestamp etc..
It is understood that the node device type of the block chain node 130 in the application is including but not limited to various types of
Server, personal computer, handheld terminal of type etc..
It should be noted that the network and block link network of connection user terminal 11, server 12 and block chain network 13
The network between each block chain node in network 13, can according in actual application Network status and application demand come really
It is fixed, either cordless communication network, such as mobile communications network or WIFI network, it is also possible to wireline communication network；Both may be used
To be wide area network, local area network can also be used when situation allows.Certainly, user terminal 11 can also direct and block chain network
13 are communicated, and so as to which server 12 need not be arranged, can save computer resource in this way.
Fig. 2 is the first case storage method flow chart provided by the embodiments of the present application.Shown in Figure 2, which deposits
Method for storing is applied to either block chain node, may comprise steps of:
S201, obtain current block chain network in multiple objects fault case；Fault case includes: existing object
At least one fault message and corresponding restoration information.
In current block chain network, fault case can be that key is stored with the identification information of object.Wherein, right
As can be with are as follows: equipment, people, animal, plant etc., when object behaviour, animal, plant, fault case is natural person's case,
Failure is disease information, and restoration information is disease treatment information；Identification information can be identity information, animal or the plant of people
The title etc. of object.If object is equipment, fault message may include: the component and failure cause of failure；Equipment
Identification information can be the factory coding etc. of equipment.
If object is behaved, then store case with the identity information key of people, in this way for same patient (i.e. natural person),
Its corresponding diagnosis information, laboratory test report information etc. can be unifiedly stored to a case, not only can enrich case, make
Patient cases record comprehensively, are also convenient for patient and doctor inquires case.To be comprehensive, true, the reliable feature case of acquisition
Convenience is provided.
S202, multiple fault cases are classified according to fault type, obtains multiple feature cases；Each feature case
Record has the fault message and corresponding restoration information of at least one object.
In a specific embodiment, it can use sorting algorithm and fault case classified according to fault type,
Multiple feature cases are obtained, sorting algorithm is NB Algorithm, random forests algorithm or support vector machines.Certainly, may be used also
To be classified using other sorting algorithms, such as: clustering algorithm.
If fault case is natural person's case, then it is understood that since natural person's illnesses may have
It is a variety of, therefore after fault case is classified according to disease type, the disease that may be suffered from same natural person is divided to not
With feature case.Such as: record has two kinds of disease informations of heart disease and diabetes and treatment information in natural person's A case, then
In classification, what is recorded in natural person's A case will be classified in relation to cardiopathic disease information and treatment information to heart disease spy
Levy case；The disease information and treatment information of the related diabetes recorded in natural person's A case will be classified to diabetic character
Case.Wherein, since also record has laboratory test report information etc. in fault case, when carrying out classification of diseases, laboratory test report information
Deng can also be classified into corresponding feature case.Wherein, treatment information may include take orally, the drug of external application and/or injection
Information, corresponding medication effect etc..Certainly, the identity information of natural person, illness information such as place, time of going to a doctor also can recorde
In feature case.
If record has repeatedly related cardiopathic disease information and treatment information in fault case, then each record can be with
Regard a treatment record as.When being classified, the treatment time of these treatment records is recorded respectively, and these treatments are recorded
Regard the relevant information that current natural person suffers from a heart complaint as.Suffer from that is, uniformly regarding these treatment records as current natural person
Cardiopathic case.
S203, the feature critical character in multiple feature cases is determined as search index, and is updated according to search index
Search index library.
S204, updated search index library and multiple feature cases are stored to current block chain network.
In the present embodiment, by updated search index library and multiple feature cases store to current block chain network it
Before, further includes: it is directed to any one feature case, the fault message with same type restoration information is added to same failure
Group；It include multiple failure groups in any one feature case.
In each feature case, multiple failure groups are equipped with, same type reparation letter has been record in each failure group
The fault message of breath.Still by taking the feature case obtained after natural person's multi-class classification as an example, it is assumed that have 2 in nettle rash feature case
Failure group (namely case group), first failure group is for recording the letter such as the illness symptom for taking a kind of drug, therapeutic effect
Breath；Second failure group is for recording the information such as the illness symptom for taking another drug, therapeutic effect.It can understand in this way
Ground find out from feature case different drugs, different therapeutic modality for same disease therapeutic effect；It can also be quickly from spy
Find out that present illness can have several treatment means and mode in sign case.
For the ease of retrieving and inquiring, case can be characterized and construct corresponding search index.Wherein, search index can be with
Any feature critical character in feature case, feature critical character such as: failure title, position, failure cause.If failure
Case is natural person's case, then feature critical character can be disease name or abbreviation, such as: nettle rash；Or peculiar illness disease
Shape etc., such as: wheal, wheal is its peculiar symptom when suffering from nettle rash.
Updated search index library and multiple feature cases are stored to current block chain network, that is, rope will be retrieved
Draw library and feature case is shared to current block chain network.Any one block chain node can be looked into using search index in this way
Ask correlated characteristic case.
It should be noted that other in the present embodiment realize that step is same as the previously described embodiments or similar, therefore this implementation
Details are not described herein for example.
Method disclosed in the present embodiment is applied to either block chain node, that is to say, that either block chain node can be held
Row case storage method provided by the present application.Wherein, current block chain network is stored with the fault case of multiple objects, due to area
Block chain has information publicity and higher safety, therefore stores fault case using block chain network, and failure may be implemented
The whole network of case is shared, at the same guarantee fault case safety and can not tamper.On this basis, either block chain node
Fault case in current block chain network can also be classified according to fault type, to can get multiple feature cases
Example, the feature case being achieved in that will record the fault message of some object or multiple objects comprehensively and corresponding repair is believed
Breath.Further, the feature critical character in multiple feature cases is determined as search index, and more according to search index
New search index library；Updated search index library and multiple feature cases are stored to current block chain network, accessed in this way
All block chain nodes of current block chain network can sharing feature case.When the failure of certain an object, inspection can be passed through
Rope indexed search correlated characteristic case, so that the reparation for current failure provides reliable, true and comprehensive reference case.
Fig. 3 is second of case storage method flow chart provided by the embodiments of the present application.Shown in Figure 3, which deposits
Method for storing is applied to either block chain node, may comprise steps of:
S301, obtain current block chain network in multiple objects fault case；Fault case includes: existing object
At least one fault message and corresponding restoration information.
S302, multiple fault cases are classified according to fault type, obtains multiple feature cases；Each feature case
Record has the fault message and corresponding restoration information of at least one object.
S303, the feature critical character in multiple feature cases is determined as search index, and is updated according to search index
Search index library.
S304, updated search index library and multiple feature cases are stored to current block chain network.
S305, the retrieval request that user sends is received.
It is understood that user can submit retrieval request by human-computer interaction interface.Target inspection in retrieval request
Rustling sound draws the presupposed information that can be human-computer interaction interface, can also be the information of user's input.
S306, the target retrieval extracted in retrieval request index.
S307, the similarity for determining target retrieval index and multiple feature cases in current block chain network respectively.
Wherein, similarity can be used the calculations such as semantic similarity, cosine similarity and determine.When using cosine similarity
When determining target retrieval index and the similarity of feature case, need first to convert target retrieval index and feature case to
Vector, and then calculate the similarity between two vectors.
S308, the corresponding feature case of maximum similarity is determined as search result and is returned.
It is understood that determining the similarity of target retrieval index and multiple feature cases respectively, need to calculate separately
The similarity of target retrieval index and each feature case, to obtain similarity corresponding with each feature case.It will wherein
The corresponding feature case of maximum similarity is determined as search result and the return of current retrieval request.
In a specific embodiment, for any feature case, target retrieval index and current signature case are determined
Similarity, comprising: respectively determine target retrieval index with current signature case in each feature critical character similarity,
Obtain multiple sub- similarities；Multiple sub- Similarity-Weighteds are summarized, it is similar to current signature case to obtain target retrieval index
Degree.
Still by taking natural person's case as an example.Such as: key index in nettle rash feature case be wheal, pruitus,
Blood routine, corresponding weight are 40%, 40%, 20%.The similarity for so calculating target retrieval index and wheal, from
And it can get first sub- similarity A；The similarity of target retrieval index and pruitus is calculated, to can get second son
Similarity B；The similarity of target retrieval index and blood routine is calculated, to can get the sub- similarity C of third；So to this three
A sub- Similarity-Weighted summarizes, then has: W=A × 40%+B × 40%+C × 20%, then W is target retrieval index and nettle
The similarity of morbilli feature case.
In a specific embodiment, the corresponding feature case of maximum similarity is determined as search result and returned,
Include: that multiple feature cases are subjected to descending arrangement according to similarity size, obtains feature case sequence；By feature case sequence
It is determined as search result and returns.
The similarity of target retrieval index and each feature case can be calculated through the above way, then can be according to phase
Feature case is subjected to descending arrangement like degree size, to can get feature case sequence；And then it can be by this feature case sequence
Column are as search result and return.Wherein, if the feature case sequence feature case that includes is more, then before can choose wherein
It is N number of to be used as search result and return.It is, of course, also possible to feature case be carried out ascending order arrangement according to similarity size, then then
It can choose rear N number of conduct search result in feature case sequence and return.It is, of course, also possible to show retrieval knot in client
Fruit, so as to user's reference.
It should be noted that can limit user to avoid user's malice fixed reference feature case by client and submit inspection
The permission of rope request, such as: correct Physician's License coding is only inputted, just allows to submit retrieval request.It certainly can also
To avoid the malice of feature case to inquire and obtain using cryptographic technique.
It should be noted that other in the present embodiment realize that step is same as the previously described embodiments or similar, therefore this implementation
Details are not described herein for example.
Method disclosed in the present embodiment when receiving retrieval request, then mentions after storing feature case to block chain network
It takes the target retrieval in retrieval request to index, and then determines the similarity of target retrieval index and multiple feature cases respectively, from
And it returns and shows according to the determining search result corresponding with retrieval request of similarity.In this way user can immediate inquiring to phase
Case is closed, so that the reparation for current failure provides reliable and comprehensive foundation.
Fig. 4 is the third case storage method flow chart provided by the embodiments of the present application.Shown in Figure 4, which deposits
Method for storing is applied to either block chain node, may comprise steps of:
S401, the fault message and corresponding restoration information for receiving multiple objects that user sends.
In a specific embodiment, user can send fault message and corresponding restoration information extremely in different moments
Block chain node, so that fault message and corresponding restoration information are synchronized storage by block chain node in the whole network.
S402, according to the identification information of different objects, generate the fault case of each object, and with the identification information of object
ID as fault case.
S403, it establishes incidence relation between fault case and ID, and incidence relation, fault case and ID is stored to working as
Preceding block chain network.
In the present embodiment, incidence relation, fault case and ID are stored to current block chain network, comprising: current
Incidence relation, fault case and ID are broadcasted in block chain network, so that other block chain nodes pair in current block chain network
Incidence relation, fault case and ID are verified；If being verified, incidence relation, fault case and ID are packaged as second
Block, and broadcast in current block chain network the packing message of the second block.
It is, of course, also possible to setting is classified the execution time of fault case in current block chain network, and such as: setting executes
Period executes a sort operation every 10 minutes or every 1 hour.Namely each block chain link point collects new failure
Information and corresponding restoration information are simultaneously synchronized to the whole network, execute time point wait reach classification, then execute time point to a upper classification
The fault message collected between time point is executed to this subseries and corresponding restoration information is classified.Classification obtains new spy
After levying case, if new feature case exists in block chain network, new feature case and old feature case are closed
It is shared after and；If new feature case is not present in block chain network, stores new feature case and share.
S404, obtain current block chain network in multiple objects fault case；Fault case includes: existing object
At least one fault message and corresponding restoration information.
S405, multiple fault cases are classified according to fault type, obtains multiple feature cases；Each feature case
Record has the fault message and corresponding restoration information of at least one object.
S406, the feature critical character in multiple feature cases is determined as search index.
S407, judge in search index library with the presence or absence of search index；If so, executing S408；If it is not, then executing
S409。
S408, former search index library is determined as updated search index library；
S409, search index is added to search index library, obtains updated search index library, and execute S410.
S410, updated search index library and multiple feature cases are broadcasted in current block chain network, so that currently
Other block chain nodes in block chain network verify updated search index library and multiple feature cases.
If S411, being verified, updated search index library and multiple feature cases are packaged as the first block, and
The packing message of the first block is broadcasted in current block chain network.
S412, the new fault message and corresponding restoration information for receiving the target object that user sends.
S413, according to the fault type of new fault message, by new fault message and the addition pair of corresponding restoration information
The feature case answered.
In the present embodiment, multiple feature cases are obtained when having classified in block chain network, and after completing sharing operation,
If current block chain network receives new fault message and corresponding restoration information again, directly new failure can be believed
Breath and corresponding restoration information are added in corresponding feature case.If new fault message is not present in current block chain network
The corresponding feature case with corresponding restoration information can then create corresponding feature case in current block chain network, and
New fault message and corresponding restoration information are added in newly created feature case.
It should be noted that other in the present embodiment realize that step is same as the previously described embodiments or similar, therefore this implementation
Details are not described herein for example.
It, can be to newly collecting when being collected into fault case again as it can be seen that the present embodiment is after classification obtains feature case
Fault case carries out classification processing, so as to classify in time to the fault case in block chain network, obtains feature case,
It is referred to so that related personnel inquires.
Case storage method provided by the present application is described below by a specific application scenarios example.Fig. 5 is referred to,
Fig. 5 is a kind of block chain network schematic diagram provided by the embodiments of the present application.In Fig. 5, any one medical institutions be can be used as
Block chain node access area block chain network, each medical institutions can upload natural person's case to itself corresponding block chain node, together
When the block chain node natural person's case of upload is shared to other nodes, to can realize that the whole network of natural person's case is shared
Storage.
Meanwhile the corresponding block chain node of any one medical institutions is also used as analysis summary node.Analysis summary
Node classifies natural person's case in the whole network according to disease type, to can get multiple feature cases, is achieved in that
Feature case will record all relevant informations that patient suffers from present illness comprehensively, so that comprehensive note of feature case can be realized
Record.Further, the feature critical character in multiple feature cases is determined as search index, and more according to search index
New search index library；Updated search index library and multiple feature cases are stored to current block chain network, accessed in this way
All medical institutions of current block chain network can sharing feature case, it is related special that search index retrieval can be passed through when necessary
Levy case.
In order to reduce the data processing amount of each block chain node, analysis summary section can be set in block chain network
Point.Multiple, i.e. analysis node 1 and analysis node 2 in Fig. 1 can be set in analysis summary node.This analysis summary node is only used
In execution case storage scheme provided by the present application.That is, the corresponding block chain node of each medical institutions is for collecting
Natural person's case is simultaneously shared, after analysis summary node is used to classify to the natural person's case being collected into, sharing feature case.
Block chain network as shown in connection with fig. 5, the embodiment of the present application provide the 4th kind of case storage method, refer to figure
6, Fig. 6 be a kind of medical cases storage method flow chart provided by the embodiments of the present application.Medical cases storage method shown in fig. 6
It may comprise steps of:
S601, target block chain node obtain natural person's case in current block chain network.
In the present embodiment, fault case is natural person's case.Current block chain network is obtained in target block chain node
In natural person's case before, further includes: all block chain nodes in current block chain network collect natural person's case respectively,
The natural person's case being collected into is packaged into block simultaneously, that is, carries out the shared storage of the whole network of natural person's case.
Specifically, the storage and displaying of natural person's case refer to Fig. 7, Fig. 7 be it is provided by the embodiments of the present application it is a kind of from
Right people's case notes schematic diagram.Time point in Fig. 7 is the consultation time point of patient per.Natural person ID in Fig. 7 can be
Patient identification information.
S602, target block chain node classify natural person's case according to disease type, obtain multiple feature cases.
Wherein, each feature case history has the illness information and corresponding treatment information of at least one natural person.Disease
Type is corresponding with fault type mentioned above.
Feature critical character in multiple feature cases is determined as search index, and root by S603, target block chain node
Search index library is updated according to search index.
Wherein, feature critical character can be the title of disease, illness symptom etc..
Specifically, the storage and displaying of feature case refer to Fig. 8-Fig. 9, Fig. 8 is provided by the embodiments of the present application first
Kind feature case history schematic diagram, Fig. 9 are second of feature case history schematic diagram provided by the embodiments of the present application.In Fig. 9
Specific method is to take medicine information or other treatment information for present illness, and corresponding case number of cases as has phase
With the case number for the treatment of information, the above-mentioned case group referred to can be referred to herein.Feature case in Fig. 8 and Fig. 9 is disease
Medical record example.
S604, target block chain node broadcast in updated search index library and multiple feature cases to other block chains
Node.
Wherein, target block chain node and other block chain nodes collectively form current block chain network.
S605, other block chain nodes know together to updated search index library and multiple feature cases.
If S606, common recognition pass through, other block chain nodes broadcast common recognition in the whole network and pass through message.
Wherein it is possible to be total to using common common recognition method to updated search index library and multiple feature cases
Know, such as: PBFT, POW, POS, DPOS common recognition method.
Updated search index library and multiple feature cases are packaged into block by S607, target block chain node.
S608, target block chain node broadcast block in the whole network and generate message.
It should be noted that the realization step in the present embodiment is same as the previously described embodiments or similar, for details, reference can be made to upper
Any embodiment is stated, therefore details are not described herein for the present embodiment.
If search index is illness symptom and inspection result (such as leukocyte count), then looking into when using symptom and inspection result
When asking the feature case in block chain network, the search result of acquisition referring to Figure 10.Figure 10 is provided by the embodiments of the present application
A kind of search result schematic diagram.In Figure 10, all similar cases are dropped according to the similarity size with symptom and inspection result
Sequence arrangement.Case ID in Fig. 8, Fig. 9 and Figure 10 can be the title of the corresponding disease of current signature case.
As it can be seen that the present embodiment makes any one medical institutions be used as block chain node access area block chain network, and upload
Natural person's case.Wherein, natural person's case is stored in block chain network with naturally artificial key, and then is key with disease type
Classification natural person's case so not only realizes the unified storage of the patient cases of different medical mechanism, is also characterized case
Retrieval and inquiry are provided convenience.
1, Figure 11 is a kind of case storage device schematic diagram provided by the embodiments of the present application referring to Figure 1, is applied to any
Block chain node, comprising:
Module 1101 is obtained, for obtaining the fault case of multiple objects in current block chain network；Fault case packet
It includes: at least one fault message and corresponding restoration information of existing object；
Categorization module 1102 obtains multiple feature cases for multiple fault cases to be classified according to fault type；
Each feature case history has the fault message and corresponding restoration information of at least one object；
Update module 1103, for the feature critical character in multiple feature cases to be determined as search index, and according to
Search index updates search index library；
Memory module 1104, for storing in updated search index library and multiple feature cases to current block link network
Network.
In a specific embodiment, further includes:
First receiving module, for receiving the retrieval request of user's transmission；
Extraction module, for extracting the index of the target retrieval in retrieval request；
Retrieval module for retrieving feature case corresponding with target retrieval index in current block chain network, and is returned
Return search result.
In a specific embodiment, retrieval module includes:
First determination unit, for determining target retrieval index and multiple feature cases in current block chain network respectively
Similarity；
Second determination unit, for the corresponding feature case of maximum similarity to be determined as search result and is returned.
In a specific embodiment, the first determination unit is specifically used for:
For any feature case, target retrieval index and each feature critical word in current signature case are determined respectively
The similarity of symbol obtains multiple sub- similarities；Multiple sub- Similarity-Weighteds are summarized, target retrieval index and current signature are obtained
The similarity of case.
In a specific embodiment, the second determination unit is specifically used for:
Multiple feature cases are subjected to descending arrangement according to similarity size, obtain feature case sequence；By feature case
Sequence is determined as search result and returns.
In a specific embodiment, further includes:
First adding module, for being directed to any one feature case, by the fault message with same type restoration information
It is added to same failure group；It include multiple failure groups in any one feature case.
In a specific embodiment, update module includes:
Judging unit, for judging in search index library with the presence or absence of search index；
Updating unit, if search index is added to search index for search index to be not present in search index library
Library obtains updated search index library.
In a specific embodiment, memory module includes:
First radio unit, for broadcasting updated search index library and multiple feature cases in current block chain network
Example, so that other block chain nodes in current block chain network carry out updated search index library and multiple feature cases
Verifying；
First packaged unit, if being packaged updated search index library and multiple feature cases for being verified
For the first block, and broadcast in current block chain network the packing message of the first block.
In a specific embodiment, further includes:
Second receiving module, the fault message and corresponding restoration information of multiple objects for receiving user's transmission；
Generation module generates the fault case of each object for the identification information according to different objects, and with object
ID of the identification information as fault case；
Execution module, for establishing the incidence relation between fault case and ID, and by incidence relation, fault case and ID
It stores to current block chain network.
In a specific embodiment, execution module includes:
Second radio unit, for broadcasting incidence relation, fault case and ID in current block chain network, so that currently
Other block chain nodes in block chain network verify incidence relation, fault case and ID；
Second packaged unit, if incidence relation, fault case and ID are packaged as the second block for being verified,
And the packing message of the second block is broadcasted in current block chain network.
In a specific embodiment, further includes:
Third receiving module, for receiving the new fault message and corresponding reparation letter of the target object of user's transmission
Breath；
Second adding module by new fault message and corresponding is repaired for the fault type according to new fault message
Complex information adds corresponding feature case.
In a specific embodiment, categorization module is specifically used for:
Fault case is classified according to fault type using sorting algorithm, obtains multiple feature cases, sorting algorithm
For NB Algorithm, random forests algorithm or support vector machines.
Wherein, previous embodiment can be referred to by closing the more specifical course of work of modules, unit in this present embodiment
Disclosed in corresponding contents, no longer repeated herein.
As it can be seen that present embodiments providing a kind of case storage device, comprising: obtain module, categorization module, update module and
Memory module.The fault case of multiple objects in current block chain network is obtained by acquisition module first；Fault case includes:
At least one fault message and corresponding restoration information of existing object；Then categorization module is by multiple fault cases according to failure
Type is classified, and multiple feature cases are obtained；Each feature case history has the fault message and correspondence of at least one object
Restoration information；And then the feature critical character in multiple feature cases is determined as search index by update module, and according to inspection
Rope index upgrade search index library；Last memory module stores in updated search index library and multiple feature cases to current
Block chain network.Share out the work and help one another between such modules, Each performs its own functions, so as to obtain true and comprehensive feature case
Example, and realize the shared of feature case.
Further, the embodiment of the present application also provides a kind of electronic equipment.Wherein, above-mentioned electronic equipment is either such as
Server 50 shown in Figure 12 are also possible to terminal 60 as shown in fig. 13 that.Figure 12 and Figure 13 is the electricity shown in the present embodiment
Sub- equipment structure chart, the content in figure are not construed as any restrictions to the use scope of the application.
Figure 12 is a kind of structural schematic diagram of server provided by the embodiments of the present application.The server 50, specifically can wrap
Include: at least one processor 51, at least one processor 52, power supply 53, communication interface 54, input/output interface 55 and communication are total
Line 56.Wherein, for storing computer program, the computer program is loaded and is held by the processor 51 memory 52
Row, to realize the correlation step in the storage of case disclosed in aforementioned any embodiment.
In the present embodiment, power supply 53 is used to provide operating voltage for each hardware device on server 50；Communication interface 54
It can be the data transmission channel between the creation of server 50 and external device, the communication protocol followed is can be suitable for
The random communication protocol of technical scheme does not limit it specifically herein；Input/output interface 55, it is outer for obtaining
Boundary's input data or outwardly output data, specific interface type can be chosen according to concrete application, herein
Without specifically limiting.
In addition, the carrier that memory 52 is stored as resource, can be read-only memory, random access memory, disk or
CD etc., the resource stored thereon include operating system 521, computer program 522 and data 523 etc., and storage mode can be with
Be it is of short duration storage or permanently store.
Wherein, operating system 521 is used to manage and each hardware device and computer program in control server 50
522, to realize operation and processing of the processor 51 to data 523 in memory 52, can be Windows Server,
Netware, Unix, Linux etc..Computer program 522 is in addition to including that can be used in completing case disclosed in aforementioned any embodiment
Except the computer program of example storage method, the computer journey that can be used in completing other particular jobs can further include
Sequence.Data 523 can also include the data such as feature case other than it may include the data such as fault case.
Figure 13 is a kind of structural schematic diagram of terminal provided by the embodiments of the present application, which can specifically include but not
It is limited to smart phone, tablet computer, laptop or desktop computer etc..
In general, the terminal 60 in the present embodiment includes: processor 61 and memory 62.
Wherein, processor 61 may include one or more processing cores, such as 4 core processors, 8 core processors
Deng.Processor 61 can use DSP (Digital Signal Processing, Digital Signal Processing), FPGA (Field-
Programmable Gate Array, field programmable gate array), PLA (Programmable Logic Array, may be programmed
Logic array) at least one of example, in hardware realize.Processor 61 also may include primary processor and coprocessor, main place
Reason device is the processor for being handled data in the awake state, also referred to as CPU (Central Processing
Unit, central processing unit)；Coprocessor is the low power processor for being handled data in the standby state.In
In some embodiments, processor 61 can be integrated with GPU (Graphics Processing Unit, image processor), GPU
For being responsible for the rendering and drafting of content to be shown needed for display screen.In some embodiments, processor 61 can also include AI
(Artificial Intelligence, artificial intelligence) processor, the AI processor is for handling the calculating in relation to machine learning
Operation.
Memory 62 may include one or more computer readable storage mediums, which can be with
It is non-transient.Memory 62 may also include high-speed random access memory and nonvolatile memory, such as one or more
A disk storage equipment, flash memory device.In the present embodiment, memory 62 is at least used to store following computer program 621,
Wherein, after which is loaded and executed by processor 61, it is disclosed by terminal to can be realized aforementioned any embodiment
The correlation step in case storage method that side executes.In addition, the resource that memory 62 is stored can also include operating system
622 and data 623 etc., storage mode can be of short duration storage or permanently store.Wherein, operating system 622 may include
Windows, Unix, Linux etc..Data 623 can include but is not limited to fault case and feature case.
In some embodiments, terminal 60, which may also include, has display screen 63, input/output interface 64, communication interface 65, passes
Sensor 66, power supply 67 and communication bus 68.
It will be understood by those skilled in the art that the restriction of the not structure paired terminal 60 of structure shown in Figure 13, can wrap
It includes than illustrating more or fewer components.
Further, the embodiment of the present application also discloses a kind of storage medium, is stored with computer in the storage medium
Executable instruction when the computer executable instructions are loaded and executed by processor, is realized disclosed in aforementioned any embodiment
Case storage method.Specific steps about this method can be with reference to corresponding contents disclosed in previous embodiment, herein no longer
It is repeated.
It should be pointed out that above are only the preferred embodiment of the application, it is all in the application not to limit the application
Spirit and principle within, any modification, equivalent replacement, improvement and so on, should be included in the application protection scope it
It is interior.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with it is other
The difference of embodiment, same or similar part may refer to each other between each embodiment.For being filled disclosed in embodiment
For setting, since it is corresponded to the methods disclosed in the examples, so being described relatively simple, related place is referring to method part
Explanation.
Specific examples are used herein to illustrate the principle and implementation manner of the present application, and above embodiments are said
It is bright to be merely used to help understand the present processes and its core concept；At the same time, for those skilled in the art, foundation
The thought of the application, there will be changes in the specific implementation manner and application range, in conclusion the content of the present specification is not
It is interpreted as the limitation to the application.
Claims (15)
1. a kind of case storage method, which is characterized in that be applied to either block chain node, comprising:
Obtain the fault case of multiple objects in current block chain network；The fault case include: existing object at least
One fault message and corresponding restoration information；
Multiple fault cases are classified according to fault type, obtain multiple feature cases；Each feature case history
There are the fault message and corresponding restoration information of at least one object；
Feature critical character in multiple feature cases is determined as search index, and is updated and is examined according to the search index
Rope index database；
Updated search index library and multiple feature cases are stored to the current block chain network.
2. case storage method according to claim 1, which is characterized in that described by updated search index library and more
A feature case is stored to the current block chain network, further includes:
Receive the retrieval request that user sends；
Extract the target retrieval index in the retrieval request；
Feature case corresponding with target retrieval index is retrieved in the current block chain network, and returns to retrieval knot
Fruit.
3. case storage method according to claim 2, which is characterized in that described to be examined in the current block chain network
Rope feature case corresponding with target retrieval index, and return to search result, comprising:
The similarity of the target retrieval index and multiple feature cases in the current block chain network is determined respectively；
The corresponding feature case of maximum similarity is determined as the search result and is returned.
4. case storage method according to claim 3, which is characterized in that be directed to any feature case, determine the mesh
Mark the similarity of search index and current signature case, comprising:
The similarity for determining the target retrieval index and each feature critical character in the current signature case respectively, is obtained
Much a sub- similarities；
Multiple sub- Similarity-Weighteds are summarized, it is similar to the current signature case to obtain the target retrieval index
Degree.
5. case storage method according to claim 3, which is characterized in that described by the corresponding feature case of maximum similarity
Example is determined as the search result and returns, comprising:
Multiple feature cases are subjected to descending arrangement according to similarity size, obtain feature case sequence；
The feature case sequence is determined as the search result and is returned.
6. case storage method according to any one of claims 1 to 5, which is characterized in that described by updated retrieval
Index database and multiple feature cases are stored to before the current block chain network, further includes:
For any one feature case, the fault message with same type restoration information is added to same failure group；It is any
It include multiple failure groups in a feature case.
7. case storage method according to claim 1, which is characterized in that described updated according to the search index is retrieved
Index database, comprising:
Judge in search index library with the presence or absence of the search index；
If it is not, the search index is then added to the search index library, the updated search index library is obtained.
8. case storage method according to claim 1, which is characterized in that described by updated search index library and more
A feature case is stored to the current block chain network, comprising:
The updated search index library and multiple feature cases are broadcasted in the current block chain network, so that institute
Other block chain nodes in current block chain network are stated to the updated search index library and multiple feature cases
It is verified；
If being verified, the updated search index library and multiple feature cases are packaged as the first block, and
The packing message of first block is broadcasted in the current block chain network.
9. case storage method according to any one of claims 1 to 5, which is characterized in that the acquisition current block chain
Before the fault case of multiple objects in network, further includes:
Receive the fault message and corresponding restoration information of multiple objects that user sends；
According to the identification information of different objects, generate the fault case of each object, and using the identification information of the object as
The ID of the fault case；
Establish the incidence relation between the fault case and the ID, and by the incidence relation, the fault case and institute
ID is stated to store to the current block chain network.
10. case storage method according to claim 9, which is characterized in that described by the incidence relation, the failure
Case and the ID are stored to the current block chain network, comprising:
The incidence relation, the fault case and the ID are broadcasted in the current block chain network, so that described current
Other block chain nodes in block chain network verify the incidence relation, the fault case and the ID；
If being verified, the incidence relation, the fault case and the ID are packaged as the second block, and work as described
The packing message of second block is broadcasted in preceding block chain network.
11. case storage method according to claim 9, which is characterized in that it is described by updated search index library and
Multiple feature cases are stored to the current block chain network, further includes:
Receive the new fault message and corresponding restoration information of the target object that user sends；
According to the fault type of the new fault message, the new fault message and the addition of corresponding restoration information are corresponded to
Feature case.
12. case storage method according to claim 1, which is characterized in that it is described by the fault case according to failure
Type is classified, and multiple feature cases are obtained, comprising:
The fault case is classified according to fault type using sorting algorithm, obtains multiple feature cases, the classification
Algorithm is NB Algorithm, random forests algorithm or support vector machines.
13. a kind of case storage device, which is characterized in that be applied to either block chain node, comprising:
Module is obtained, for obtaining the fault case of multiple objects in current block chain network；The fault case includes: to work as
At least one fault message and corresponding restoration information of preceding object；
Categorization module obtains multiple feature cases for multiple fault cases to be classified according to fault type；Each
Feature case history has the fault message and corresponding restoration information of at least one object；
Update module, for the feature critical character in multiple feature cases to be determined as search index, and according to described
Search index updates search index library；
Memory module, for storing in updated search index library and multiple feature cases to the current block link network
Network.
14. a kind of electronic equipment, which is characterized in that the electronic equipment includes processor and memory；Wherein, the memory
For storing computer program, the computer program is loaded by the processor and is executed to realize such as claim 1 to 12
Described in any item case storage methods.
15. a kind of storage medium, which is characterized in that be stored with computer executable instructions, the calculating in the storage medium
When machine executable instruction is loaded and executed by processor, such as the described in any item case storage methods of claim 1 to 12 are realized.
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Also Published As
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| CN110597946A (en) | 2019-12-20 |
| CN110457425B (en) | 2024-05-03 |
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