CN109286623A - Human health detection data shared system based on block chain - Google Patents
Human health detection data shared system based on block chain Download PDFInfo
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- CN109286623A CN109286623A CN201811127373.XA CN201811127373A CN109286623A CN 109286623 A CN109286623 A CN 109286623A CN 201811127373 A CN201811127373 A CN 201811127373A CN 109286623 A CN109286623 A CN 109286623A
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- 230000036541 health Effects 0.000 title claims abstract description 49
- 238000001514 detection method Methods 0.000 title claims abstract description 42
- 238000003860 storage Methods 0.000 claims abstract description 6
- 238000009826 distribution Methods 0.000 claims abstract description 5
- 238000004891 communication Methods 0.000 claims abstract description 4
- 238000013480 data collection Methods 0.000 claims description 17
- 238000012544 monitoring process Methods 0.000 claims description 14
- 230000002776 aggregation Effects 0.000 claims description 11
- 238000004220 aggregation Methods 0.000 claims description 11
- 230000008447 perception Effects 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 5
- 230000006870 function Effects 0.000 claims description 5
- 238000013507 mapping Methods 0.000 claims description 3
- 238000012360 testing method Methods 0.000 claims description 3
- 238000004458 analytical method Methods 0.000 claims 1
- 241000854291 Dianthus carthusianorum Species 0.000 description 13
- 230000005484 gravity Effects 0.000 description 5
- 238000005265 energy consumption Methods 0.000 description 3
- 238000007689 inspection Methods 0.000 description 3
- 230000007246 mechanism Effects 0.000 description 2
- 230000001737 promoting effect Effects 0.000 description 2
- 208000017667 Chronic Disease Diseases 0.000 description 1
- 241001269238 Data Species 0.000 description 1
- 206010020772 Hypertension Diseases 0.000 description 1
- 230000003542 behavioural effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000000151 deposition Methods 0.000 description 1
- 238000000586 desensitisation Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 206010012601 diabetes mellitus Diseases 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000037213 diet Effects 0.000 description 1
- 235000005911 diet Nutrition 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 238000000034 method Methods 0.000 description 1
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
- H04L63/083—Network architectures or network communication protocols for network security for authentication of entities using passwords
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
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Abstract
The present invention provides the human health detection data shared systems based on block chain, comprising: account management module generates the account and password of user, and feed back to user for receiving application information transmitted by user；Block chain memory module, is used for memory block chain, and block chain includes multiple memory nodes of communication connection；Data wireless acquisition module, for acquiring the human health detection data of sufferer, and will be in memory node corresponding in the storage to block chain of human health detection data；Access authority management module is user distribution to the access authority of the memory node in block chain for the application information according to user；Data sharing module, for recalling human health detection data corresponding with the identification information in block chain according to the identification information for receiving the memory node that user is inputted.
Description
Technical field
The present invention relates to medical control technical fields, and in particular to the shared system of the human health detection data based on block chain
System.
Background technique
Medical institutions be faced with always can not cross-platform safe shared data problem, one side data dispersion, different medical
Mechanism, different information systems form data silo, it is difficult to realize the unified view centered on resident, meanwhile, data are endless
It is whole such as more to the rational diet, behavioural habits, healthy psychology of hypertension, diabetes common chronic disease people and people at highest risk etc.
The routine health data of aspect management and intervention are all not yet digitized or scattered be distributed in intelligent terminal, wearable set
In the system of standby manufacturer；On the other hand longer derived from industry supply chain, be from upstream to downstream, the link that data information passes through compared with
It is more, it is difficult to accomplish that each link puts into enough inspections and management strength.Lack data safety guarantee, secret protection and
The Convention Mechanisms such as data ownership, personal and data owner are reluctant active opening and shares.In past ten years, health care row
Industry experienced great for several times hacker attack and leaking data, have lost millions of consumer datas and sensitive client information.
Summary of the invention
In view of the above-mentioned problems, the present invention provides the human health detection data shared system based on block chain.
The purpose of the present invention is realized using following technical scheme:
Provide the human health detection data shared system based on block chain, comprising: account management module, for receiving
Application information transmitted by user, generates the account and password of user, and feeds back to user；Block chain memory module, for depositing
Storage area block chain, block chain include multiple memory nodes of communication connection；Data wireless acquisition module, for acquiring the human body of sufferer
Health detection data, and will be in memory node corresponding in the storage to block chain of human health detection data；Access authority management
Module is user distribution to the access authority of the memory node in block chain for the application information according to user；Data are total
Module is enjoyed, the identification information for the memory node that user is inputted is received for basis, it will be with the identification information in block chain
Corresponding human health detection data recalls.
Preferably, the account management module generates the account of user and close specifically for receiving the application information of user
Code, and stored the account of user and password by the way of mapping table, and feed back to user.
Preferably, the data sharing module, specifically for according to the identification for receiving the memory node that user is inputted
Information is recalled human health detection data corresponding with the identification information in block chain by transparent mathematical algorithm.
The invention has the benefit that present system, which has, initiates inquiry, obtains sufferer medical treatment record and consult de-
The functions such as quick human health detection data, the circulation for promoting medical big data is shared, is conducive to promote medical big data multi-party
Interoperability.
Detailed description of the invention
The present invention will be further described with reference to the accompanying drawings, but the embodiment in attached drawing is not constituted to any limit of the invention
System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings
Other attached drawings.
Fig. 1 is the knot of the human health detection data shared system based on block chain of an illustrative embodiment of the invention
Structure connects block diagram.
Appended drawing reference:
Account management module 1, block chain memory module 2, data wireless acquisition module 3, access authority management module 4, number
According to sharing module 5.
Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, the human health detection data shared system based on block chain is present embodiments provided, comprising: account
Management module 1 generates the account and password of user, and feed back to user for receiving application information transmitted by user；Block
Chain memory module 2, is used for memory block chain, and block chain includes multiple memory nodes of communication connection；Data wireless acquisition module
3, for acquiring the human health detection data of sufferer, and will be stored accordingly in the storage to block chain of human health detection data
In node；Access authority management module 4 is distributed for the user to the storage in block chain for the application information according to user
The access authority of node；Data sharing module receives the identification information for the memory node that user is inputted for basis, in area
Human health detection data corresponding with the identification information is recalled in block chain.
Preferably, each memory node further include: the identification information of itself, human health testing number connected to it
According to the identification information and cryptographic Hash of memory node, timestamp.
Preferably, the account management module 1, specifically for receive user application information, generate user account and
Password, and stored the account of user and password by the way of mapping table, and feed back to user.
Preferably, the data sharing module, specifically for according to the identification for receiving the memory node that user is inputted
Information is recalled human health detection data corresponding with the identification information in block chain by transparent mathematical algorithm.
For the system of the above embodiment of the present invention design with inquiry is initiated, acquisition sufferer, which is seen a doctor, records and consults desensitization people
The functions such as body health detection data, the circulation for promoting medical big data is shared, and be conducive to promote medical big data multi-party is mutual
Operation.
In one embodiment, data wireless acquisition module 3 includes single aggregation node, four relay nodes and multiple biographies
Sensor node, the aggregation node are deployed in the center in the data collection zone domain of setting, and four relay nodes are set to number
According to the different location in pickup area, and four relay nodes are identical as the distance between aggregation node, the multiple sensor
Node needs to be deployed in the data collection zone domain according to actual monitoring；Sensor node is responsible for acquiring human health testing number
One of relay node is sent to according to and by human health detection data, and relay node is by received human health detection data
Single-hop is sent to aggregation node, and aggregation node converges received human health detection data and is sent to block chain memory module 2.
In one embodiment, sensor node model use Boolean sense model, sensor node the perception radius isomery,
The perception radius of any sensor node is in [Hmin, Hmax] in range, wherein HmaxAnd HminIt is divided into sensor node the perception radius
Bound；After multiple sensor nodes are needed to be deployed in the data collection zone domain according to actual monitoring, data are adopted
Collection region is averagely divided into multiple rectangular net regions, is that the distribution monitoring of each net region is important according to monitoring requirements intensity
Grade, the monitoring important level include rudimentary important, intermediate important and advanced important, the rudimentary important corresponding theory of setting
Coverage density is 0.8, and the important corresponding theoretical coverage density of middle rank is 1.0, and advanced important corresponding theoretical coverage density is
1.2, calculating each net region is the sensor node quantity for meeting theoretical coverage density and needing to dispose, if NiIndicate i-th
A net region is the sensor node quantity for meeting theoretical coverage density and needing to dispose, reality in i-th of net region
The sensor node quantity that border has been disposed is Ni0If Ni0< Ni, then N is disposed in addition in i-th of net regioni-Ni0It is a
Sensor node；Wherein, NiCalculation formula are as follows:
In formula, σiFor the theoretical coverage density that i-th of net region is correspondingly arranged, DiFor i-th of net region
Size；Int is bracket function.
It, will after multiple sensor nodes are needed to be deployed in the data collection zone domain by the present embodiment according to actual monitoring
Data collection zone domain is averagely divided into multiple rectangular net regions, and is the setting of each net region based on monitoring requirements intensity
Corresponding theoretical coverage density, and the sensor node quantity that net region should be arranged is calculated according to theoretical coverage density,
When the sensor node quantity of actual deployment is less than the sensor node quantity that be arranged, continue to increase sensor node.
The present embodiment enables to the sensor node deployment in each net region that can reach certain network to cover
Lid density has ensured monitoring requirements, and the mode relative to random placement sensor node, has optimized network topology structure, into
And promote the Monitoring Performance of wireless sensor network.
In one embodiment, after completing sensor node deployment, by the data collection zone domain random division set as r
Virtual grid region, and make each relay node in different virtual grid regions；In the virtual net for not including relay node
Lattice choose cluster head in region；Cluster head is responsible for the human health inspection of each sensor node acquisition in virtual grid region where collecting
The human health detection data of collection is sent to apart from nearest relay node by measured data, each cluster head；It is saved comprising relaying
In the virtual grid region of point, each sensor node is by human health detection data collected by directly transmitting or multi-hop
The form of transmission is sent to corresponding relay node.
The present embodiment carries out human health inspection in the virtual grid region for not including relay node by way of sub-clustering
The collection of measured data, and the entirety of network is advantageously reduced without a group cluster in the virtual grid region comprising relay node
Energy consumption, while unnecessary sub-clustering is avoided, save sub-clustering energy consumption, the life cycle of effective prolonging wireless sensor network.
In one embodiment, the division number r in virtual grid region is determined according to the following formula:
In formula, D is the area in the data collection zone domain, LoFor the distance of relay node to aggregation node, int is to be rounded
Function.
Actual conditions of the present embodiment based on data collection zone domain devise data collection zone domain and are divided into virtual grid area
The calculation formula of the number in domain determines the number in virtual grid region according to the calculation formula, relative to the mode set at random,
The number for optimizing sub-clustering is conducive to the energy consumption for saving net inner sensor node, and then reduces adopting for human health detection data
Collect cost.
In one embodiment, cluster head is chosen in the virtual grid region for not including relay node, comprising:
(1) position of centre of gravity in virtual grid region is calculated:
In formula, VbIndicate that the position of centre of gravity of virtual grid region b, x (c) indicate c-th of biography in the virtual grid region b
The abscissa of sensor node position, y (c) are the ordinate of c-th of sensor node position, wherein with convergence
Node is coordinate origin, nbThe sensor node number having for the virtual grid region b；
(2) probability that each sensor node in virtual grid region serves as cluster head, and the maximum sensing of select probability are calculated
Cluster head of the device node as the virtual grid region:
In formula, QbcThe probability of cluster head is served as c-th of sensor node in the b of virtual grid region,It is described c-th
Sensor node and position of centre of gravity VbDistance,For u-th of sensor node and position of centre of gravity V in the b of virtual grid regionb
Distance；For the minimum range of c-th of sensor node and relay node,For u-th of sensor section
The minimum range of point and relay node, p1、p2For the weight coefficient and p of setting1> p2。
The present embodiment calculates each virtual net by the way that data collection zone domain is averagely divided into multiple virtual grid regions
The position of centre of gravity in lattice region.The present embodiment proposes the calculating that each sensor node in virtual grid region serves as the probability of cluster head
Formula, in the calculation formula, the sensor node tool closer apart from place virtual grid regional barycenter position and relay node
There is bigger probability to serve as the cluster head in the virtual grid region.The present embodiment select probability from each virtual grid region is maximum
Sensor node as cluster head, on the one hand can guarantee that cluster head is evenly distributed in as far as possible in entire data collection zone domain, separately
On the one hand it is able to ascend global optimum's performance of sub-clustering result, saves the energy that cluster head collects and transmits human body health detection data
Consumption improves the stability that cluster head carries out human health detection data collection work.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of range is protected, although explaining in detail referring to preferred embodiment to the present invention, those skilled in the art are answered
Work as understanding, it can be with modification or equivalent replacement of the technical solution of the present invention are made, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (6)
1. the human health detection data shared system based on block chain, characterized in that include: account management module, for connecing
Application information transmitted by user is received, generates the account and password of user, and feed back to user；Block chain memory module, is used for
Memory block chain, block chain include multiple memory nodes of communication connection；Data wireless acquisition module, for acquiring the people of sufferer
Body health detection data, and will be in memory node corresponding in the storage to block chain of human health detection data；Access authority pipe
Module is managed, is user distribution to the access authority of the memory node in block chain for the application information according to user；Data
Sharing module, for that will be believed with the identification in block chain according to the identification information for receiving the memory node that user is inputted
Corresponding human health detection data is ceased to recall.
2. the human health detection data shared system according to claim 1 based on block chain, characterized in that the account
Number management module generates the account and password of user, and by the way of mapping table specifically for receiving the application information of user
The account of user and password are stored, and feed back to user.
3. the human health detection data shared system according to claim 1 based on block chain, characterized in that the number
According to sharing module, specifically for according to the identification information for receiving the memory node that user is inputted, by transparent mathematical algorithm,
Human health detection data corresponding with the identification information is recalled in block chain.
4. the human health detection data shared system according to claim 1-3 based on block chain, feature
It is that data wireless acquisition module includes single aggregation node, four relay nodes and multiple sensor nodes, the aggregation node
It is deployed in the center in the data collection zone domain of setting, four relay nodes are set to the different positions in the domain of data collection zone
It sets, and four relay nodes are identical as the distance between aggregation node, the multiple sensor node is needed according to actual monitoring
It is deployed in the data collection zone domain；Sensor node is responsible for acquiring human health detection data and by human health testing number
According to one of relay node is sent to, received human health detection data single-hop is sent to aggregation node by relay node,
Aggregation node converges received human health detection data and is sent to block chain memory module.
5. the human health detection data shared system according to claim 4 based on block chain, characterized in that sensor
Nodal analysis method uses Boolean sense model, sensor node the perception radius isomery, and the perception radius of any sensor node exists
[Hmin, Hmax] in range, wherein HmaxAnd HminIt is divided into the bound of sensor node the perception radius.
6. the human health detection data shared system according to claim 5 based on block chain, characterized in that will be multiple
After sensor node needs to be deployed in the data collection zone domain according to actual monitoring, data collection zone domain is averagely divided into
Multiple rectangular net regions are each net region distribution monitoring important level, the monitoring according to monitoring requirements intensity
Important level include it is rudimentary it is important, middle rank is important and advanced important, it is 0.8 that rudimentary important corresponding theoretical coverage density, which is arranged,
The important corresponding theoretical coverage density of middle rank is 1.0, and advanced important corresponding theoretical coverage density is 1.2, calculates each grid
Region is the sensor node quantity for meeting theoretical coverage density and needing to dispose, if NiI-th of net region is indicated to meet
Theoretical coverage density and the sensor node quantity for needing to dispose, the practical sensor disposed in i-th of net region
Number of nodes is Ni0If Ni0< Ni, then N is disposed in addition in i-th of net regioni-Ni0A sensor node；Wherein,
NiCalculation formula are as follows:
In formula, σiFor the theoretical coverage density that i-th of net region is correspondingly arranged, DiFor the face of i-th of net region
Product size；Int is bracket function.
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Denomination of invention: Blockchain based human health detection data sharing system Effective date of registration: 20230817 Granted publication date: 20210924 Pledgee: Qilu Bank Co.,Ltd. Jinan Second Ring West Road Branch Pledgor: Fano Information Industry Co.,Ltd. Registration number: Y2023980052626 |
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