CN111784453B - Cross-platform medicine collection price synchronization method based on block chain and related device - Google Patents

Cross-platform medicine collection price synchronization method based on block chain and related device Download PDF

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CN111784453B
CN111784453B CN202010611673.6A CN202010611673A CN111784453B CN 111784453 B CN111784453 B CN 111784453B CN 202010611673 A CN202010611673 A CN 202010611673A CN 111784453 B CN111784453 B CN 111784453B
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medicine
centrality
block chain
platforms
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CN111784453A (en
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黄辉
张莉
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Shenzhen Ping An Smart Healthcare Technology Co ltd
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Shenzhen Ping An Smart Healthcare Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0611Request for offers or quotes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/27Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60Protecting data
    • G06F21/64Protecting data integrity, e.g. using checksums, certificates or signatures
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Abstract

The application relates to a cross-platform medicine collection price synchronization method based on a block chain and a related device, belonging to the technical field of block chains, wherein the method comprises the following steps: acquiring source information and historical medicine bid record and medicine price constraint information of each medicine centralized purchasing platform; inputting information of each medicine centralized purchasing platform into a centrality evaluation model to obtain centrality labels corresponding to each medicine centralized purchasing platform; dividing each medicine centralized purchasing platform into a plurality of platform subsets; taking the platforms in each platform subset as partition block chains of the block chain node components corresponding to each platform subset; and connecting all the block chains through an intermediate node to obtain a total platform block chain, and synchronizing the medicine price related information of the total platform block chain through the intermediate node. The method effectively improves the reliability of cross-platform medicine collection price synchronization.

Description

Cross-platform medicine collection price synchronization method based on block chain and related device
Technical Field
The application relates to the technical field of blockchain, in particular to a cross-platform medicine collection price synchronization method based on blockchain and a related device.
Background
Generally, under the popularization of centralized purchasing of medicines, the local area medicine purchasing demands are centralized, and the purchasing is commonly tendered, so that the purpose of price conversion by a large amount is achieved, and the national and patient medicine expense is reduced. The price reduction of the medicine centralized purchasing is large, but the medicine centralized purchasing is not unified nationally, but unified in local areas.
Price information of the medicine centralized purchasing platforms in all areas is synchronous, point-to-point transmission and sharing among the platforms are carried out according to the protocol through the request among the platforms, meanwhile, the medicine centralized purchasing platforms are more, the medicine products are more and not good to follow up, the medicine price is followed by line, the privacy space is reserved, and the price information is easy to tamper. Therefore, the related information of the medicine price can not be effectively synchronized, the reliability of global synchronization is poor, and the medicine price has the problem that a plurality of areas are uncoordinated.
It should be noted that the information disclosed in the above background section is only for enhancing understanding of the background of the application and thus may include information that does not form the prior art that is already known to those of ordinary skill in the art.
Disclosure of Invention
The application aims to provide a cross-platform medicine collection price synchronization scheme based on a block chain, so that reliability of cross-platform medicine collection price synchronization is effectively improved at least to a certain extent.
According to one aspect of the application, there is provided a blockchain-based cross-platform pharmaceutical collection price synchronization method, comprising:
acquiring source information and historical medicine bid registration records of each medicine centralized purchasing platform, and acquiring medicine price constraint information of the source of each medicine centralized purchasing platform according to the source information;
inputting the source information, the historical medicine bid record and the medicine price constraint information corresponding to each medicine centralized purchasing platform into a centrality evaluation model to obtain centrality labels corresponding to each medicine centralized purchasing platform, wherein the centrality labels indicate the price influence centrality of each medicine centralized purchasing platform on a target type medicine;
dividing each medicine centralized purchasing platform into a plurality of platform subsets according to the centrality labels, so that the centrality label similarity among the medicine centralized purchasing platforms in the platform subsets exceeds a preset threshold;
taking the platforms in the platform subsets as partition block chains corresponding to each platform subset by using the block chain node components;
and connecting each block chain to obtain a total platform block chain through an intermediate node, so that after each medicine centralized purchasing platform synchronizes the medicine price related information in the block chain based on the corresponding block chain node, the intermediate node synchronizes the medicine price related information of the total platform block chain.
In an exemplary embodiment of the present application, the dividing each of the centralized procurement platforms into a plurality of platform subsets according to the centrality tag includes:
and clustering each medicine centralized purchasing platform based on the centrality label of each medicine centralized purchasing platform to obtain a plurality of platform subsets.
In an exemplary embodiment of the present application, the inputting the source information, the historical medicine bid record, and the medicine price constraint information corresponding to each medicine centralized purchasing platform into a centrality evaluation model to obtain a centrality label corresponding to each medicine centralized purchasing platform includes:
and inputting the source information, the historical medicine bid record and the medicine price constraint information corresponding to each medicine centralized purchasing platform into a centrality evaluation model to obtain centrality labels and centrality scores corresponding to each medicine centralized purchasing platform.
In an exemplary embodiment of the present application, the dividing each of the centralized procurement platforms into a plurality of platform subsets according to the centrality tag includes:
acquiring centrality labels corresponding to centrality scores of the medicine centralized purchasing platforms, which are higher than a preset threshold, as classification labels;
And clustering each medicine centralized purchasing platform based on the classification labels to obtain a plurality of platform subsets.
In an exemplary embodiment of the present application, the partitioning block chain for each of the subset of platforms as a block chain node member includes:
taking the platforms in each platform subset as block chain nodes;
dividing the blockchain nodes corresponding to each platform subset into a plurality of node sets according to the source information of the platforms;
after constructing a region chain based on each node set, all the region chains are connected with each other to obtain a partition block chain corresponding to each platform subset.
In an exemplary embodiment of the present application, the connecting each of the blockchains through an intermediate node to obtain a total platform blockchain includes:
selecting one node from each partition block chain as an alliance node;
and connecting the alliance main nodes through intermediate nodes to obtain the total platform block chain.
In an exemplary embodiment of the present application, the connecting each of the blockchains through an intermediate node to obtain a total platform blockchain includes:
Acquiring one node with the highest sum of centrality scores from each blockchain as a alliance master node according to the centrality scores corresponding to each medicine centralized purchasing platform;
and connecting the alliance main nodes through intermediate nodes to obtain the total platform block chain.
According to one aspect of the application, a cross-platform pharmaceutical collection price synchronization device based on a blockchain is characterized by comprising:
the acquisition module is used for acquiring the source information and the historical medicine bid record of each medicine centralized purchasing platform and acquiring the medicine price constraint information of the source of each medicine centralized purchasing platform according to the source information;
the evaluation module is used for inputting the source information, the historical medicine bid record and the medicine price constraint information corresponding to each medicine centralized purchasing platform into a centrality evaluation model to obtain a centrality label corresponding to each medicine centralized purchasing platform, wherein the centrality label indicates the price influence centrality of each medicine centralized purchasing platform on a target type medicine;
the division module is used for dividing each medicine centralized purchasing platform into a plurality of platform subsets according to the centrality labels, so that the centrality label similarity among the medicine centralized purchasing platforms in the platform subsets exceeds a preset threshold;
A first building module for associating a platform in each of the subset of platforms as a blockchain node member with a partitioned blockchain for each of the subset of platforms;
and the second construction module is used for connecting each block chain to obtain a total platform block chain through an intermediate node, so that after the medicine centralized purchasing platforms synchronize the medicine price related information in the block chains based on the corresponding block chain nodes, the intermediate node synchronizes the medicine price related information of the total platform block chain.
According to an aspect of the present application, there is provided a computer readable storage medium having stored thereon program instructions, characterized in that the program instructions, when executed by a processor, implement the method of any of the above.
According to an aspect of the present application, there is provided an electronic apparatus comprising:
a processor; and
a memory for storing program instructions of the processor; wherein the processor is configured to perform the method of any of the above via execution of the program instructions.
The application discloses a block chain-based cross-platform medicine collection price synchronization method and a related device.
Firstly, acquiring source information and historical medicine bid registration records of each medicine centralized purchasing platform, and acquiring medicine price constraint information of the source of each medicine centralized purchasing platform according to the source information; the relevant characteristic information forming the medicine price corresponding to each medicine centralized purchasing platform can be completely acquired. Then, inputting the source information, the historical medicine bid record and the medicine price constraint information corresponding to each medicine centralized purchasing platform into a centrality evaluation model to obtain a centrality label corresponding to each medicine centralized purchasing platform; the centrality labels of the platforms can be reliably evaluated based on the characteristic information corresponding to the platforms through the centrality evaluation model, and the centrality labels can indicate the price influence centrality of the centralized medicine purchasing platforms on the target type medicines. Then, dividing each medicine centralized purchasing platform into a plurality of platform subsets according to the centrality labels; the platforms can be classified based on price impact centrality, so that the price impact centrality of the target type medicines among the medicine centralized purchasing platforms in the platform subset is similar. Then, taking the platforms in the platform subsets as partition block chains corresponding to each platform subset by using the block chain node components; because the price influence centrality of each platform in the block chain is similar, the index established by the block chain such as price uplink contract is easy to realize, and the medicine price related information can be effectively shared by the block chain. And finally, connecting each block chain to obtain a total platform block chain through an intermediate node, so that after each medicine centralized purchasing platform synchronizes the medicine price related information in the block chain based on the corresponding block chain node, the intermediate node synchronizes the medicine price related information of the total platform block chain. After each sub-block chain is coupled through the intermediate node, information synchronization among the sub-block chains is performed, global coordination synchronization of the intermediate node is performed on the basis of local effective synchronization of the sub-block chains, global reliability of medicine price information synchronization is guaranteed, the problem of sharing invalidity caused by various differentiation among different platforms is avoided, safety and irrecoverability of information are effectively guaranteed through sharing on the chain, and further reliability of cross-platform medicine collection price synchronization is effectively improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application. It is evident that the drawings in the following description are only some embodiments of the present application and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.
Fig. 1 schematically shows a flow chart of a blockchain-based cross-platform pharmaceutical collection price synchronization method.
Fig. 2 schematically illustrates an exemplary diagram of an application scenario of a blockchain-based cross-platform pharmaceutical collection price synchronization method.
Fig. 3 schematically shows a flow chart of a method of partitioning into a plurality of platform subsets.
Fig. 4 schematically shows a block diagram of a blockchain-based cross-platform pharmaceutical collection price synchronization device.
Fig. 5 schematically illustrates an example block diagram of an electronic device for implementing the blockchain-based cross-platform medical collection price synchronization method described above.
Fig. 6 schematically illustrates a computer readable storage medium for implementing the blockchain-based cross-platform medical collection price synchronization method described above.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the application. One skilled in the relevant art will recognize, however, that the application may be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known aspects have not been shown or described in detail to avoid obscuring aspects of the application.
Furthermore, the drawings are merely schematic illustrations of the present application and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor devices and/or microcontroller devices.
In this exemplary embodiment, a blockchain-based cross-platform pharmaceutical collection price synchronization method is provided first, which may be run on a server, or may be run on a server cluster or a cloud server, or the like, and of course, a person skilled in the art may also run the method of the present invention on other platforms according to requirements, which is not limited in particular in this exemplary embodiment. Referring to fig. 1, the blockchain-based cross-platform pharmaceutical collection price synchronization method may include the following steps:
step S110, acquiring source information and historical medicine bid registration records of each medicine centralized purchasing platform, and acquiring medicine price constraint information of the source of each medicine centralized purchasing platform according to the source information;
step S120, inputting source information, historical medicine bid registration records and medicine price constraint information corresponding to each medicine centralized purchasing platform into a centrality evaluation model to obtain centrality labels corresponding to each medicine centralized purchasing platform, wherein the centrality labels indicate the price influence centrality of each medicine centralized purchasing platform on a target type medicine;
step S130, dividing each medicine centralized purchasing platform into a plurality of platform subsets according to the centrality labels, wherein the centrality label similarity among the medicine centralized purchasing platforms in the platform subsets exceeds a preset threshold;
Step S140, taking the platforms in each platform subset as partition block chains corresponding to each platform subset by using the block chain node components;
and step S150, connecting each sub-block chain through an intermediate node to obtain a total platform block chain, so that after each medicine centralized purchasing platform synchronizes the medicine price related information in the sub-block chain based on the corresponding block chain node, the intermediate node synchronizes the medicine price related information of the total platform block chain.
In the block chain-based cross-platform medicine centralized acquisition price synchronization method, firstly, source information and historical medicine bidding records of each medicine centralized purchasing platform are obtained, and medicine price constraint information of the source of each medicine centralized purchasing platform is obtained according to the source information; the relevant characteristic information forming the medicine price corresponding to each medicine centralized purchasing platform can be completely acquired. Then, inputting the source information, the historical medicine bid record and the medicine price constraint information corresponding to each medicine centralized purchasing platform into a centrality evaluation model to obtain a centrality label corresponding to each medicine centralized purchasing platform; the centrality labels of the platforms can be reliably evaluated based on the characteristic information corresponding to the platforms through the centrality evaluation model, and the centrality labels can indicate the price influence centrality of the centralized medicine purchasing platforms on the target type medicines. Then, dividing each medicine centralized purchasing platform into a plurality of platform subsets according to the centrality labels; the platforms can be classified based on price impact centrality, so that the price impact centrality of the target type medicines among the medicine centralized purchasing platforms in the platform subset is similar. Then, taking the platforms in the platform subsets as partition block chains corresponding to each platform subset by using the block chain node components; because the price influence centrality of each platform in the block chain is similar, the index established by the block chain such as price uplink contract is easy to realize, and the medicine price related information can be effectively shared by the block chain. And finally, connecting each block chain to obtain a total platform block chain through an intermediate node, so that after each medicine centralized purchasing platform synchronizes the medicine price related information in the block chain based on the corresponding block chain node, the intermediate node synchronizes the medicine price related information of the total platform block chain. After each sub-block chain is coupled through the intermediate node, information synchronization among the sub-block chains is performed, global coordination synchronization of the intermediate node is performed on the basis of local effective synchronization of the sub-block chains, global reliability of medicine price information synchronization is guaranteed, the problem of sharing invalidity caused by various differentiation among different platforms is avoided, safety and irrecoverability of information are effectively guaranteed through sharing on the chain, and further reliability of cross-platform medicine collection price synchronization is effectively improved.
The steps in the block chain-based cross-platform medicine collection price synchronization method according to the exemplary embodiment will be explained and described in detail with reference to the accompanying drawings.
In step S110, source information and historical drug bidding records of each of the centralized medicine purchasing platforms are obtained, and drug price constraint information of the source of each of the centralized medicine purchasing platforms is obtained according to the source information.
In the embodiment of the present example, referring to fig. 2, the server 210 may obtain the source information of the centralized medical purchasing platform and the history medicine bid record from the server 220 of the centralized medical purchasing platform; meanwhile, the server 210 may obtain the drug price constraint information of the origin of each medicine centralized purchasing platform from the server 230 of the drug management department associated with the server 220 of the medicine centralized purchasing platform according to the origin information. The server 210, the server 220, and the server 230 may be various terminal devices having a command processing function and a data storage function, such as a computer and a mobile phone, and are not particularly limited herein.
The centralized medicine purchasing platform is a platform for integrating medicine purchasing requirements and commonly bidding and purchasing, and different platforms have different bidding conditions due to different sources, for example, the same medicine (possibly having different attributes of production places, production parties and the like) has different prices.
The source information may be set according to actual situations, such as a city or county area.
The drug price constraint information of the source can be legally obtained from a service center of a drug administration agency, and the drug price constraint information can comprise constraint information such as suggested price, purchase limit and the like.
The historical drug bidding records may include the number of users and types of users historically participating in bidding for each drug per centralized procurement platform, etc.
The information can be obtained completely to obtain the relevant characteristic information corresponding to each medicine centralized purchasing platform for forming the medicine price.
In step S120, the source information, the historical medicine bid record and the medicine price constraint information corresponding to each medicine centralized purchasing platform are input into a centrality evaluation model, so as to obtain a centrality label corresponding to each medicine centralized purchasing platform, wherein the centrality label indicates the price influence centrality of each medicine centralized purchasing platform on the target type medicine.
In the embodiment of the present example, the centrality evaluation model is a pre-trained deep learning model for analyzing and evaluating a medicine centralized purchasing platform according to source information, historical medicine bid record and medicine price constraint information, for example, a multi-classification decision tree model.
The centrality label corresponding to the target type of medicine (a certain medicine or a certain series of medicines) can be calibrated for each platform through the centrality evaluation model, and the centrality label indicates the centrality of the price influence of the medicine centralized purchasing platform on the target type of medicine, namely the centrality can evaluate the centrality of the influence of each platform on the price of the certain medicine or the certain series of medicines. Center level labels for example, center level label for platform one may include A, B, C, F type drug center 4 labels, center level label for platform two may include A, B, C, M type drug center 4 labels, where platform one and platform two both have A, B, C type drug center 3 labels, indicating that platform one and platform two both have some degree of impact on price formation for A, B, C type drug, but the degree of impact may be different.
The training method of the centrality evaluation model comprises the following steps: collecting information sample sets of source information, historical medicine bid record and medicine price constraint information corresponding to each medicine centralized purchasing platform, wherein each information sample is marked by an expert with a corresponding centrality label and centrality score; and then, respectively inputting the information samples in the information sample set into a centrality evaluation model, controlling the output centrality label and centrality bisection similarity of the information samples to be higher than a preset threshold value by adjusting model parameters, and finishing training when the preset accuracy rate is reached.
And the centering degree label of each platform is reliably evaluated based on the characteristic information corresponding to each platform through the centering degree evaluation model, and the centering degree label can reliably indicate the price influence centering degree of each medicine centralized purchasing platform on the target type medicine.
In step S130, each medicine centralized purchasing platform is divided into a plurality of platform subsets according to the centrality labels, and the centrality label similarity between each medicine centralized purchasing platform in the platform subsets exceeds a predetermined threshold.
In an embodiment of the present example, the predetermined threshold may be set according to the sharing precision management requirements.
The similarity of centrality labels between the centralized purchasing platforms in the platform subset exceeds a predetermined threshold, which may be that the number of identical labels between the centralized purchasing platforms exceeds a predetermined number, for example, the first and second platforms belong to the same platform subset, and the number of identical labels between the first and second platforms is greater than 3. The similarity of the label sets between the centralized purchasing platforms of the medicine is higher than the preset similarity, for example, the center label set of the first platform can comprise A, B, C, F type medicine center 4 labels, the center label set of the second platform can comprise A, B, C, M type medicine center 4 labels, the first platform and the second platform belong to the same platform subset, the similarity of the label sets between the first platform and the second platform is 75%, and the similarity is greater than 70%.
Dividing each medicine centralized purchasing platform into a plurality of platform subsets according to the centrality labels; the platforms can be classified based on price impact centrality, so that the price impact centrality of each medicine centralized purchasing platform in the platform subset to the target type medicine is similar. The centralized purchasing platforms in the platform subset have similarity in medicine management or price mechanism, so that the centralized purchasing platforms can be effectively shared in the same level. The reliability of the subsequent medicine price synchronization is improved, for example, the medicine price is synchronous in the medicine centralized purchasing platform in the platform subset only, and the medicine price is synchronous to other platforms.
In one embodiment, the centralized procurement platforms of the medicines are divided into a plurality of platform subsets according to the centrality tags, comprising:
and clustering the medicine centralized purchasing platforms based on the centrality labels of the medicine centralized purchasing platforms to obtain a plurality of platform subsets.
Clustering processing is carried out on each medicine centralized purchasing platform, the existing unsupervised clustering model can be utilized for training, and platforms with the centrality label similarity exceeding a preset threshold value can be clustered by the clustering model; and then, inputting the centrality label data set of each medicine centralized purchasing platform into a clustering model, and automatically clustering to obtain a plurality of platform subsets.
In one embodiment, the method for obtaining the centrality label corresponding to each medicine centralized purchasing platform includes the steps of:
and inputting source information, historical medicine bid registration records and medicine price constraint information corresponding to each medicine centralized purchasing platform into a centrality evaluation model to obtain centrality labels and centrality scores corresponding to each medicine centralized purchasing platform.
The centrality score indicates the central degree of the price influence of the medicine centralized purchasing platform on the target type medicine, namely the centrality score can evaluate the central degree of the influence of each platform on the price of a certain medicine or a certain series of medicines. For example, the center-of-gravity label of the first platform may include an a-label, the center-of-gravity label of the second platform may include an a-label, wherein the center-of-gravity label of the first platform may include a center score of 60 minutes corresponding to the a-label, and the center-of-gravity label of the second platform may include a center score of 80 minutes corresponding to the a-label, which indicates that the first and second platforms have some effect on the price formation of the a-type medicine, but the effect is less than the first platform.
In one embodiment, referring to FIG. 3, the division of each medical centralized procurement platform into a plurality of platform subsets according to a centrality tag comprises:
step S310, obtaining a centrality label corresponding to a centrality score of each medicine centralized purchasing platform higher than a preset threshold value as a classification label;
step S320, clustering processing is carried out on each medicine centralized purchasing platform based on the classification labels, and a plurality of platform subsets are obtained.
Acquiring centrality labels corresponding to centrality scores of the medicine centralized purchasing platforms higher than a preset threshold value as classification labels, wherein a centrality label set of a first platform can comprise 4 labels of A, B, C, F type medicines, and the centrality scores of the 4 labels are 30, 60, 55 and 90 in sequence; the predetermined threshold may be 50, at which time 3 labels in the B, C, F type medicine center of platform one are obtained as classification labels.
And clustering the medicine centralized purchasing platforms based on the classification labels to obtain a plurality of platform subsets. The reliability of the division of the subset of the platform can be further ensured.
In one embodiment, the centralized purchasing platforms of each medicine are divided into a plurality of platform subsets according to the centrality labels, and the centrality label similarity between the centralized purchasing platforms of each medicine in the platform subsets exceeds a preset threshold value, comprising: when the number of the medicine centralized purchasing platforms is smaller than the number of the preset platforms, the label similarity between the platforms is directly compared in pairs, and when the centrality label similarity between the medicine centralized purchasing platforms exceeds a preset threshold value, the medicine centralized purchasing platforms are divided into a group.
In step S140, the platforms in each subset of platforms are assigned as blockchain node members to the partition blockchains of each subset of platforms.
In the embodiment of the present example, by acquiring information of platform node devices constructed by each medicine centralized purchasing platform, adding the information to a price uplink intelligent contract template set in advance, and constructing the node devices in the platform subset as block chain link points to obtain a block chain, each node in the block chain can safely share medicine price information.
Because the price influence centrality of each platform in the block chain is similar, the index established by the block chain such as price uplink contract is easy to realize, and the medicine price related information can be effectively shared by the block chain.
In one embodiment, a partition block chain having a platform in each subset of platforms as a blockchain node member for each subset of platforms, comprising:
taking the platforms in each platform subset as block chain nodes;
dividing the blockchain nodes corresponding to each platform subset into a plurality of node sets according to the source information of the platforms;
after constructing the region chains based on each node set, all the region chains are connected with each other to obtain partition block chains corresponding to each platform subset.
According to the source information among the platforms in the platform subsets, the platforms corresponding to the platform subsets are divided into a plurality of node sets, and the node sets in the region can be obtained by dividing the platforms from the same region range (for example, the same province or the distance between the platforms is smaller than a preset distance, etc.).
After the regional chains are built based on each node set, all the regional chains are connected with each other to obtain partition block chains corresponding to each platform subset, and the complexity of node connection relation of the partition block chains can be reduced.
In step S150, each blockchain is connected to obtain a total platform blockchain through an intermediate node, so that after each centralized medicine purchasing platform synchronizes the medicine price related information in the blockchain of the partition based on the corresponding blockchain node, the intermediate node synchronizes the medicine price related information of the total platform blockchain.
In the embodiment of the present example, the intermediate node is a node connected between partition block chains, each partition block chain is connected through the intermediate node to obtain a total platform block chain, and the intermediate node synchronizes the drug price related information of the total platform block chain, so that the node coupling degree between the partition block chains can be reduced.
Wherein, the intermediate nodes can be one or a plurality of, when the intermediate nodes are a plurality of, each intermediate node can be respectively connected with a plurality of partition block chains, and then the intermediate nodes are interconnected.
Meanwhile, each block chain is connected through an intermediate node to obtain a total platform block chain, so that after each medicine centralized purchasing platform synchronizes the medicine price related information in the block chain based on the corresponding block chain node, the intermediate node synchronizes the medicine price related information of the total platform block chain. After each sub-block chain is coupled through the intermediate node, information synchronization among the sub-block chains is performed, global coordination synchronization of the intermediate node is performed on the basis of local effective synchronization of the sub-block chains, global reliability of medicine price information synchronization is guaranteed, the problem of sharing invalidity caused by various differentiation among different platforms is avoided, safety and irrecoverability of information are effectively guaranteed through sharing on the chain, and further reliability of cross-platform medicine collection price synchronization is effectively improved.
In one embodiment, the connecting each sub-blockchain through an intermediate node to obtain a total platform blockchain includes:
selecting one node from each block chain as an alliance node;
And connecting the alliance main nodes through the intermediate nodes to obtain the total platform block chain.
One node is selected from each blockchain as a alliance node, namely, one blockchain node selected randomly is selected as an alliance node, and the alliance node can represent the blockchain.
And connecting the alliance master nodes through the intermediate nodes to obtain a total platform blockchain, wherein the alliance master nodes and the intermediate nodes can cooperatively share information among the blockchains.
In one embodiment, the connecting each sub-blockchain through an intermediate node to obtain a total platform blockchain includes:
acquiring one node with the highest sum of centrality scores from each block chain as a alliance master node according to the centrality scores corresponding to each medicine centralized purchasing platform;
and connecting the alliance main nodes through the intermediate nodes to obtain the total platform block chain.
For example, the center degree label set of the platform one can comprise 4 labels of A, B, C, F type medicines, the center degree scores of the 4 labels are 30, 60, 55 and 90 in sequence, the center degree score sum of the platform one is 235, and if the center degree score sum of the partition chain is 235, the platform one is selected as a alliance master node.
In one embodiment, after step S150, the method further includes:
uploading the related information of the drug price to the partition block chain corresponding to each medicine centralized purchasing platform by each medicine centralized purchasing platform based on the corresponding node;
the alliance nodes in each block chain generate a medicine price report based on the medicine price related information uploaded by each node, and synchronize the medicine price report to the intermediate node;
the intermediate node determines a synchronizing party of each medicine price report based on the broadcasting chain request information of each block chain by using the collected medicine price report of each block chain, and synchronizes the medicine price report to the determined synchronizing party.
The chain request information of each blockchain indicates the medicine synchronization requirement of nodes in each blockchain or each blockchain, wherein the information characteristics of the quantity scale, the medicine type scale and the like of the medicine centralized purchasing platform on each blockchain can be included.
The synchronous party can be a certain determined blocking chain, a certain target node,
furthermore, the intermediate node can perform global coordination sharing in the blockchain according to the chain request information.
The application also provides a cross-platform medicine collection price synchronization device based on the block chain. Referring to fig. 4, the blockchain-based cross-platform pharmaceutical collection price synchronization device may include an acquisition module 410, an evaluation module 420, a partitioning module 430, a first construction module 440, and a second construction module 450. Wherein:
The obtaining module 410 may be configured to obtain source information and historical drug bidding records of each centralized pharmaceutical purchasing platform, and obtain drug price constraint information of a source of each centralized pharmaceutical purchasing platform according to the source information;
the evaluation module 420 may be configured to input the source information, the historical drug bidding record, and the drug price constraint information corresponding to each of the centralized medical purchasing platforms into a centrality evaluation model, to obtain a centrality label corresponding to each of the centralized medical purchasing platforms, where the centrality label indicates a centrality of a price influence of each of the centralized medical purchasing platforms on a target type of drug;
the dividing module 430 may be configured to divide each of the medical centralized purchasing platforms into a plurality of platform subsets according to the centrality label, so that a centrality label similarity between each of the medical centralized purchasing platforms in the platform subsets exceeds a predetermined threshold;
the first building module 440 may be configured to use a platform in each of the subset of platforms as a partition block chain for each of the subset of platforms as a blockchain node member;
the second construction module 450 may be configured to connect each of the blockchains to obtain a total platform blockchain through an intermediate node, so that after each of the centralized purchasing platforms synchronizes the drug price related information in the blockchain based on the corresponding blockchain node, the intermediate node synchronizes the drug price related information of the total platform blockchain.
The specific details of each module in the block-chain-based cross-platform medicine collection price synchronization device are described in detail in the corresponding block-chain-based cross-platform medicine collection price synchronization method, so that the details are not repeated here.
It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functions of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the application. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
Furthermore, although the steps of the methods of the present application are depicted in the accompanying drawings in a particular order, this is not required to either imply that the steps must be performed in that particular order, or that all of the illustrated steps be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform, etc.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present application may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, and includes several instructions to cause a computing device (may be a personal computer, a server, a mobile terminal, or a network device, etc.) to perform the method according to the embodiments of the present application.
In an exemplary embodiment of the present application, an electronic device capable of implementing the above method is also provided.
Those skilled in the art will appreciate that the various aspects of the application may be implemented as a system, method, or program product. Accordingly, aspects of the application may be embodied in the following forms, namely: an entirely hardware embodiment, an entirely software embodiment (including firmware, micro-code, etc.) or an embodiment combining hardware and software aspects may be referred to herein as a "circuit," module "or" system.
An electronic device 500 according to such an embodiment of the invention is described below with reference to fig. 5. The electronic device 500 shown in fig. 5 is merely an example, and should not be construed as limiting the functionality and scope of use of embodiments of the present invention.
As shown in fig. 5, the electronic device 500 is embodied in the form of a general purpose computing device. The components of electronic device 500 may include, but are not limited to: the at least one processing unit 510, the at least one memory unit 520, and a bus 530 connecting the various system components, including the memory unit 520 and the processing unit 510.
Wherein the storage unit stores program code that is executable by the processing unit 510 such that the processing unit 510 performs steps according to various exemplary embodiments of the present invention described in the above section of the "exemplary method" of the present specification. For example, the processing unit 510 may perform step S110 shown in fig. 1, obtain source information and historical drug bidding records of each of the centralized pharmaceutical purchase platforms, and obtain drug price constraint information of the source of each of the centralized pharmaceutical purchase platforms according to the source information; step S120, inputting the source information, the historical medicine bid record and the medicine price constraint information corresponding to each medicine centralized purchasing platform into a centrality evaluation model to obtain a centrality label corresponding to each medicine centralized purchasing platform, wherein the centrality label indicates the price influence centrality of each medicine centralized purchasing platform on a target type medicine; step S130, dividing each medicine centralized purchasing platform into a plurality of platform subsets according to the centrality labels, wherein the centrality label similarity between the medicine centralized purchasing platforms in the platform subsets exceeds a preset threshold; step S140, taking the platforms in the platform subsets as partition block chains corresponding to each platform subset as block chain node components; step S150, connecting each block chain to obtain a total platform block chain through an intermediate node, so that after each medicine centralized purchasing platform synchronizes medicine price related information in the block chain based on the corresponding block chain node, the intermediate node synchronizes the medicine price related information of the total platform block chain.
The storage unit 520 may include readable media in the form of volatile storage units, such as Random Access Memory (RAM) 5201 and/or cache memory unit 5202, and may further include Read Only Memory (ROM) 5203.
The storage unit 520 may also include a program/utility 5204 having a set (at least one) of program modules 5205, such program modules 5205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
Bus 530 may be one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.
The electronic device 500 may also communicate with one or more external devices 700 (e.g., keyboard, pointing device, bluetooth device, etc.), one or more devices that enable a client to interact with the electronic device 500, and/or any device (e.g., router, modem, etc.) that enables the electronic device 500 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 550 and may further include a display unit 540 connected to the input/output (I/O) interface 550. Also, electronic device 500 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 560. As shown, network adapter 560 communicates with other modules of electronic device 500 over bus 530. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 500, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present application may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, and includes several instructions to cause a computing device (may be a personal computer, a server, a terminal device, or a network device, etc.) to perform the method according to the embodiments of the present application.
In an exemplary embodiment of the present application, referring to fig. 6, there is also provided a computer-readable storage medium having stored thereon a program product capable of implementing the method described above in the present specification. In some possible embodiments, the various aspects of the application may also be implemented in the form of a program product comprising program code for causing a terminal device to carry out the steps according to the various exemplary embodiments of the application as described in the "exemplary methods" section of this specification, when said program product is run on the terminal device.
Referring to fig. 6, a program product 600 for implementing the above-described method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable signal medium may include a data signal propagated in baseband or as part of a carrier wave with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the client computing device, partly on the client device, as a stand-alone software package, partly on the client computing device and partly on a remote computing device or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the client computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
Furthermore, the above-described drawings are only schematic illustrations of processes included in the method according to the exemplary embodiment of the present application, and are not intended to be limiting. It will be readily appreciated that the processes shown in the above figures do not indicate or limit the temporal order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, for example, among a plurality of modules.
Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.

Claims (10)

1. A cross-platform medicine collection price synchronization method based on a block chain is characterized by comprising the following steps:
acquiring source information and historical medicine bid registration records of each medicine centralized purchasing platform, and acquiring medicine price constraint information of the source of each medicine centralized purchasing platform according to the source information;
Inputting the source information, the historical medicine bid record and the medicine price constraint information corresponding to each medicine centralized purchasing platform into a centrality evaluation model to obtain centrality labels corresponding to each medicine centralized purchasing platform, wherein the centrality labels indicate the price influence centrality of each medicine centralized purchasing platform on a target type medicine;
dividing each medicine centralized purchasing platform into a plurality of platform subsets according to the centrality labels, wherein the centrality label similarity among the medicine centralized purchasing platforms in the platform subsets exceeds a preset threshold;
taking the platforms in the platform subsets as partition block chains corresponding to each platform subset by using the block chain node components;
and connecting each block chain to obtain a total platform block chain through an intermediate node, so that after each medicine centralized purchasing platform synchronizes the medicine price related information in the block chain based on the corresponding block chain node, the intermediate node synchronizes the medicine price related information of the total platform block chain.
2. The method of claim 1, wherein said dividing each of said pharmaceutical centralized procurement platforms into a plurality of platform subsets according to said centrality tags comprises:
And clustering each medicine centralized purchasing platform based on the centrality label of each medicine centralized purchasing platform to obtain a plurality of platform subsets.
3. The method according to claim 1, wherein inputting the source information, the historical medicine bid record, and the medicine price constraint information corresponding to each of the medicine centralized purchasing platforms into a centrality evaluation model to obtain a centrality label corresponding to each of the medicine centralized purchasing platforms, comprises:
and inputting the source information, the historical medicine bid record and the medicine price constraint information corresponding to each medicine centralized purchasing platform into a centrality evaluation model to obtain centrality labels and centrality scores corresponding to each medicine centralized purchasing platform.
4. The method of claim 3, wherein said dividing each of said pharmaceutical centralized procurement platforms into a plurality of platform subsets according to said centrality tags comprises:
acquiring centrality labels corresponding to centrality scores of the medicine centralized purchasing platforms, which are higher than a preset threshold, as classification labels;
and clustering each medicine centralized purchasing platform based on the classification labels to obtain a plurality of platform subsets.
5. The method of claim 1, wherein said associating platforms in each of said subsets of platforms as blockchain node members with a partitioned blockchain for each of said subsets of platforms, comprises:
taking the platforms in each platform subset as block chain nodes;
dividing the blockchain nodes corresponding to each platform subset into a plurality of node sets according to the source information of the platforms;
after constructing a region chain based on each node set, all the region chains are connected with each other to obtain a partition block chain corresponding to each platform subset.
6. The method of claim 1, wherein said connecting each of said blockchains through an intermediate node results in a total platform blockchain, comprising:
selecting one node from each partition block chain as an alliance node;
and connecting the alliance main nodes through intermediate nodes to obtain the total platform block chain.
7. The method of claim 3, wherein said connecting each of said blockchains through an intermediate node results in a total platform blockchain, comprising:
acquiring one node with the highest sum of centrality scores from each blockchain as a alliance master node according to the centrality scores corresponding to each medicine centralized purchasing platform;
And connecting the alliance main nodes through intermediate nodes to obtain the total platform block chain.
8. Cross-platform medicine collection price synchronizer based on block chain, which is characterized by comprising:
the acquisition module is used for acquiring the source information and the historical medicine bid record of each medicine centralized purchasing platform and acquiring the medicine price constraint information of the source of each medicine centralized purchasing platform according to the source information;
the evaluation module is used for inputting the source information, the historical medicine bid record and the medicine price constraint information corresponding to each medicine centralized purchasing platform into a centrality evaluation model to obtain a centrality label corresponding to each medicine centralized purchasing platform, wherein the centrality label indicates the price influence centrality of each medicine centralized purchasing platform on a target type medicine;
the division module is used for dividing each medicine centralized purchasing platform into a plurality of platform subsets according to the centrality labels, so that the centrality label similarity among the medicine centralized purchasing platforms in the platform subsets exceeds a preset threshold;
a first building module for associating a platform in each of the subset of platforms as a blockchain node member with a partitioned blockchain for each of the subset of platforms;
And the second construction module is used for connecting each block chain to obtain a total platform block chain through an intermediate node, so that after the medicine centralized purchasing platforms synchronize the medicine price related information in the block chains based on the corresponding block chain nodes, the intermediate node synchronizes the medicine price related information of the total platform block chain.
9. A computer readable storage medium having stored thereon program instructions, which when executed by a processor, implement the method of any of claims 1-7.
10. An electronic device, comprising:
a processor; and
a memory for storing program instructions of the processor; wherein the processor is configured to perform the method of any of claims 1-7 via execution of the program instructions.
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