CN113539510A - Novel infectious disease discovery and management and control system based on intelligent contract - Google Patents
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Abstract
The invention provides a novel infectious disease discovery and management and control system based on an intelligent contract, and belongs to the technical field of block chains. The system packages a management component for major infectious disease events outside intelligent contract logic to serve as an intermediary for calling the intelligent contract logic, and discovers, manages and controls the novel infectious diseases based on the intelligent contract through uploading, collecting, analyzing, judging, early warning and controlling interfaces owned by the management component for the novel infectious disease events. The model can control the novel emergent infectious disease events rapidly, wherein patient medical record information is public and transparent, the accuracy of judging the novel emergent infectious disease events is greatly enhanced, the novel emergent infectious disease events can be controlled and prevented from being diffused in time through the characteristics that a block chain can not be tampered with and can be made into a plastic source and the characteristics of subarea control of the model, the life and property safety of people is greatly protected, and the influence of the novel emergent infectious disease events on the society is reduced to the minimum.
Description
Technical Field
The invention relates to the technical field of block chain application, in particular to a novel infectious disease discovery and management and control system based on an intelligent contract.
Background
The block chain is a novel decentralized protocol, information is stored in a segmented mode and cannot be forged and falsified, the block chain is suitable for statistics of big data, transaction confirmation on the block chain is completed by all nodes on the block chain together, consistency of the transaction confirmation is guaranteed by a consensus algorithm, and the fact that the information on the block chain is legal and well documented is guaranteed. Any transaction can be traced through the block chain.
An intelligent contract is a calculated transaction agreement for verifying or executing the terms of the contract. The intelligent contract allows the credible transaction to be carried out under the condition of no third party, the intelligent contract can regularly check whether the triggering condition of the relevant event exists, the verification node on the block chain verifies the signature of the event after the triggering condition is met so as to ensure the validity, and the intelligent contract can be successfully executed after the consensus is achieved.
The application of the block chain technology and public health monitoring is in the exploration period nationwide, the sharing of medical data information is researched by utilizing the characteristics of transparent disclosure, data non-falsification and the like of the block chain, and the research of the system is lacked in the aspects of early data acquisition of infectious diseases, regional early warning, prevention and control.
In view of the above problems, there is a need to provide a novel model of infectious disease discovery and management and control method based on intelligent contracts.
Disclosure of Invention
According to the method, the early warning disposal mechanism of each region is established by using a block chain intelligent contract, medical record information is shared in the region in the early period of infectious disease outbreak and is controlled in a partitioning mode, and an infectious disease control method combining local real-time linkage control and cloud overall scheduling control is formed.
In order to solve the technical problems, the invention provides a novel infectious disease discovery and management and control system based on an intelligent contract, which is applied to a block chain network, wherein the block chain network comprises edge nodes, a local controller, a local storage pool and a cloud end; the cloud end, the local controller and the edge node are connected in sequence; the local controller is also connected with the local storage pool;
a medical record uploader uploads difficult medical records to the edge node closest to the uploader through the terminal mobile device, a certain number of edge nodes in the same area receive the difficult medical records, and the verified medical records are stored in a local storage pool; calling data in the storage pool according to the local controller to perform disease analysis; when the collected medical record symptoms increase in a short time and reach a threshold value, the local controller uploads the medical record of the symptoms to the cloud; the medical records uploaded to the cloud are compared, and the result is fed back to the expert scholars to judge the type of the infectious disease; after the judgment of the expert scholars, the novel infectious diseases are generated, early warning is generated at the cloud end and is transmitted to the local controllers of all regions, and the local controllers distribute early warning information to all nodes in the regions; after the information is confirmed by relevant departments, the cloud can distribute the information and the control information of the novel infectious diseases to the local controller, and the information and the control information are broadcasted to each edge node in the area by the local controller.
Further, a certain number of edge nodes in the same area form an edge cluster, each edge cluster is provided with a local controller and a local storage pool, the local controller is used for managing data requests of data operators, and the storage pool stores data information of original medical records; the edge node is a node with computing power and storage space, and provides data computing and data storage services; digital signature Sign of additional data provider on uploaded caseIDThe other edge nodes determine whether the medical record information is legal or not by verifying the digital signature of the data provider, and the medical record which is verified to be legal is stored in the local storage pool; each edge node in the same area regularly collects the medical record uploaded locally, generates a new data block with a time stamp, and broadcasts the new data block to other edge nodes for auditing and verification.
Further, over a period of time, the node in the edge cluster with the largest contribution of storage resources becomes the leader of the round of blocks, the leader collects all received records and generates a Merkle hash value linked to the previous block record; the new block is broadcast to all edge nodes and added to the block chain.
Further, the step of storing the verified medical record in the local storage pool comprises: the medical records which are verified to be legal are stored in the local storage pool, and the index of the medical records is added into the local controller; the local controller calls medical records in the local storage pool according to the index address stored in the local controller, performs keyword analysis on the disease symptoms, and performs keyword extraction and statistics on the disease symptoms by using the LDA algorithm module.
Further, the method also comprises the steps that the suspicious medical records uploaded to the cloud terminal and the previously diagnosed infectious disease medical records stored in the cloud terminal are subjected to Bayesian model analysis, and results and medical records are fed back to expert scholars.
Further, if the expert scholars contend and are puzzled for difficult cases, the expert scholars transmit messages to a controller for uploading the medical records through the cloud, the controller transmits the messages to edge nodes for receiving the medical records, and the edge nodes inform the medical record uploader of further inspection; if the expert scholars judge that the difficult case is not the infectious disease, deleting the record of the difficult case in the cloud and feeding the result back to the controller for uploading the case history; when the medical records containing the early warning information are stored in the local memory again, the local controller can inform the edge node receiving the medical records, and the edge node reminds a case uploader of the notice.
Further, the novel infectious disease information and the management and control information confirmed by the relevant departments are stored in the edge node, and when the edge node receives a medical record containing early warning symptoms, a case uploader is directly reminded; the management and control information can be managed and controlled in a subarea mode according to the medical record condition of the infectious disease in each area.
Further, the system also includes 6 intelligent contracts:
contract 1: once the local storage pool stores a new medical record, the local controller automatically establishes an index of the medical record in the local storage pool;
contract 2: once the index table in the local controller is updated, the LDA algorithm analysis is carried out on medical records in the local storage pool, and the medical records with disease symptoms reaching a threshold value are automatically uploaded to the cloud;
contract 3: early warning information sent by the cloud is automatically transmitted to the local controller of each area;
contract 4: the early warning information received by the local controller is automatically transmitted to each edge node in the area;
contract 5: the control information of the novel infectious diseases in each region sent by the cloud is automatically transmitted to the local controllers in each region;
contract 6: the control information of the novel infectious diseases received by the local controller is automatically transmitted to each edge node in the area.
Compared with the prior art, the novel infectious disease discovery and control system based on the intelligent contract provided by the invention has the advantages that the infectious disease medical records are subjected to identity verification by utilizing the edge node, the medical records passing the verification are stored in the local storage pool, the local controller analyzes the medical records in the local storage pool and counts disease symptoms, the results are fed back to the cloud end, the cloud end further calculates and predicts the received medical records and feeds the results back to expert scholars for scientific judgment, and the local controllers in the same scheduling areas of the cloud end, which judge the novel infectious diseases, carry out regional early warning and prevention and control. The novel infectious disease discovery and management and control system based on the intelligent contract combines local real-time linkage management and control with cloud overall scheduling management and control, and manages and controls novel infectious diseases rapidly, efficiently and scientifically.
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FIG. 1 is a flow chart of the overall architecture of an embodiment of the present invention;
FIG. 2 is a diagram of a general architecture model according to an embodiment of the present invention;
FIG. 3 is a diagram of an edge node consensus model according to an embodiment of the present invention;
fig. 4 is a flowchart illustrating a process of an edge node receiving a suspected case according to an embodiment of the present invention;
Detailed Description
The present invention will be described in detail below with reference to embodiments shown in the drawings. These embodiments are not intended to limit the present invention, and structural, methodological, or functional changes made by those skilled in the art according to these embodiments are included in the scope of the present invention.
Referring to fig. 1, the novel infectious disease discovery and management and control system based on an intelligent contract comprises edge nodes for receiving difficult medical records, verifying that all nodes achieve consensus, adding the medical records into a local storage pool, extracting and counting keywords of medical symptoms of the medical records by a local controller, uploading the medical records reaching a preset threshold value of the medical symptoms to a cloud by the local controller, calculating and comparing the received medical records with confirmed infectious diseases stored in the system by the cloud, sending the medical records and results to expert scholars, judging the expert scholars to be infectious diseases, sending early warning information and management and control information by related departments at the cloud, sending the early warning information and the management and control information to the local controllers in all areas by the cloud, and sending the early warning information and the management and control information to all edge nodes in the areas by the local controller.
The specific implementation process of the system is as follows:
a medical record uploader can upload a difficult medical record to an edge node nearest to the uploader through the terminal mobile equipment, and the edge node receives the difficult medical record;
after receiving the medical record of the medical record uploader, the edge node firstly verifies whether the digital signature of the medical record uploader is legal or not, and if not, the medical record uploaded by the medical record uploader is abandoned;
if the identity verification of the medical record uploader is passed, the medical record is broadcasted to other edge nodes in the area to achieve consensus, and if the verification is not passed, the medical record is discarded;
the medical records which are verified by each edge node can feed back the result to the edge node receiving the medical records, and the edge node stores the medical records in a local storage pool through a local controller;
the local controller analyzes medical record data stored in the local storage pool through the index table, and the local controller extracts and counts keywords of medical record symptoms;
the local controller packs and uploads the medical records reaching the preset threshold value of the disease symptoms to the cloud;
the cloud carries out Bayesian calculation comparison on the received medical records and the confirmed infectious disease medical records stored in the system, and packs the medical records and calculation results and sends the medical records and the calculation results to the mobile terminal of the expert scholars;
the expert scholars judge whether the infectious diseases exist according to the medical records transmitted from the cloud and the comparison result of the computer;
the expert scholars judge the infectious diseases, early warning information is formed at the cloud end, and the early warning information is reported to relevant departments. Relevant departments can formulate early warning information and management and control information according to the analysis science of experts and scholars and send the early warning information and the management and control information to the cloud end through terminal equipment;
after receiving the early warning information and the management and control information, the cloud sends different early warning information and different management and control information in a subarea mode according to the effect of relevant departments;
and after receiving the early warning information and the management and control information from the cloud end, the local controller in each area sends the early warning information and the management and control information to all edge nodes in the area.
Referring to fig. 2, a novel infectious disease discovery and management and control system based on an intelligent contract is deployed in a block chain network and includes a cloud, each edge region, experts, scholars and related departments, each edge region includes a local controller and a local storage pool, edge nodes in each edge region form an edge cluster, and a medical record uploader can upload medical records to the edge node nearest to the medical record uploader through communication equipment.
Referring to fig. 3, an edge node is a node having a storage space, which provides a data storage service. The data storage service includes each edge node periodically collecting locally uploaded medical records, generating a new block of data with a timestamp, and broadcasting them to other edge nodes for auditing and verification. Over a period of time, the node in the edge cluster with the largest contribution of storage resources becomes the leader of the round of chunks, which collects all received records and generates a Merkle hash value linked to the previous chunk record. The new block is then broadcast to all edge nodes and then added to the block chain.
And calling the difficult medical record stored in the local storage pool by the local controller according to the stored index list of the data in the local storage pool, and extracting and counting the keywords of the disease symptoms by using an LDA (latent Dirichlet Allocation) algorithm.
The LDA algorithm cleans words of each medical record stored in the local storage pool and extracts words of disease symptoms, different words have different weights, so that the theme and word distribution of the data set are obtained, and word statistics are digitized according to different weights of different distributions.
The local controller uploads the medical records reaching the preset threshold value of the disease symptom to the cloud. The threshold value is set in advance by an expert scholars with reference to the type of an infectious disease and symptoms thereof in the past.
The cloud is a computer with strong data computing capacity and storage capacity, and is used for carrying out Bayesian comparison analysis on the received medical records and the previous infectious disease medical records stored in the system and sending the analyzed medical records and results to the communication equipment of the expert scholars.
The medical record is extensible, and after the medical record is identified and analyzed by expert scholars and is not a novel infectious disease, the medical record is deleted at the cloud. If the medical record needs to be further inspected after being analyzed by the expert scholars, the expert scholars can send messages to the cloud end, the cloud end finds the local controller which uploads the medical record and sends the further inspected messages to the local controller, and the local controller sends the further inspected messages to the medical record uploader according to the stored identity information of the medical record uploader of the medical record.
The system is extensible, and related departments can distribute early warning information and management and control information in a partition mode according to the regions where confirmed infectious disease medical records are located and according to the severity and the transmissibility of infectious diseases in each region.
Referring to FIG. 4, an edge node is also a node with computing power that provides data computing services. If the edge node receives an infectious disease symptom signature from the local controller:
step 2.1: the cloud sends the infectious disease symptom characteristics sent by the related departments to the local controllers in the regions;
step 2.2: the local controller sends the symptoms of the infectious disease to all edge nodes in the area;
step 2.3: the edge node receives the infectious disease symptom characteristic from the local controller and stores the infectious disease symptom characteristic;
step 2.4: the edge node receives the medical record uploaded by the medical record uploader, and after the identity verification of the medical record uploader is passed, the medical record is compared with the infectious disease symptom characteristics stored in the edge node by using a Bayesian comparison algorithm; if the comparison result reaches a threshold value preset by the expert scholars, the medical record becomes a suspected medical record;
step 2.5: the edge node directly reminds a medical record uploader of the suspected medical record of infectious disease notice, and sends the suspected medical record to the local controller;
step 2.6: the local controller directly uploads the suspected medical record to the cloud after receiving the suspected medical record, and the cloud sends the suspected medical record to the mobile terminal of the expert scholars for the expert scholars to judge and analyze in real time.
The consensus achieved by this model includes 6 main intelligent contracts:
contract 1: once the local storage pool stores a new medical record, the local controller automatically builds an index for the medical record in the local storage pool.
Contract 2: once the index table in the local controller is updated, the LDA algorithm analysis is carried out on medical records in the local storage pool, and the medical records with disease symptoms reaching a threshold value are automatically uploaded to the cloud.
Contract 3: early warning information sent by the cloud is automatically transmitted to the local controller of each area.
Contract 4: the early warning information received by the local controller is automatically propagated to each edge node in the area.
Contract 5: the control information of the novel infectious diseases in each region sent by the cloud is automatically transmitted to the local controllers in each region.
Contract 6: the control information of the novel infectious diseases received by the local controller is automatically transmitted to each edge node in the area.
Compared with the prior art, the invention provides a novel infectious disease discovery and management and control method model based on an intelligent contract. The invention establishes a novel infectious disease discovery and control method framework based on the application of a block chain in public health medical service, thereby solving the situations that the initial messages of novel infectious diseases are not intercommunicated and the diagnosis is not timely, establishing a discovery, early warning and control processing mechanism of each region by using an intelligent contract, forming a model combining local real-time linkage control and cloud overall scheduling control, and timely controlling the spread of the infectious diseases.
In summary, the present invention provides a novel infectious disease discovery and management and control system based on an intelligent contract, which encapsulates a management component for a major infectious disease event outside an intelligent contract logic as an intermediary for invoking the intelligent contract logic, and discovers, manages and controls a novel infectious disease based on the intelligent contract through an uploading, collecting, analyzing, judging, early warning, and management and control interface owned by the management component for the novel infectious disease event. The model can control the novel emergent infectious disease events rapidly, wherein patient medical record information is public and transparent, the accuracy of judging the novel emergent infectious disease events is greatly enhanced, the novel emergent infectious disease events can be controlled and prevented from being diffused in time through the characteristics that a block chain can not be tampered with and can be made into a plastic source and the characteristics of subarea control of the model, the life and property safety of people is greatly protected, and the influence of the novel emergent infectious disease events on the society is reduced to the minimum.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an illustrative embodiment," "an example," "a specific example," or "some examples" or the like mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims (8)
1. A novel infectious disease discovery and control system based on an intelligent contract is characterized in that the system is applied to a block chain network, and the block chain network comprises edge nodes, a local controller, a local storage pool and a cloud end; the cloud end, the local controller and the edge node are connected in sequence; the local controller is also connected with the local storage pool;
a medical record uploader uploads difficult medical records to the edge node closest to the uploader through the terminal mobile device, a certain number of edge nodes in the same area receive the difficult medical records, and the verified medical records are stored in a local storage pool; calling data in the storage pool according to the local controller to perform disease analysis; when the collected medical record symptoms increase in a short time and reach a threshold value, the local controller uploads the medical record of the symptoms to the cloud; the medical records uploaded to the cloud are compared, and the result is fed back to the expert scholars to judge the type of the infectious disease; after the judgment of the expert scholars, the novel infectious diseases are generated, early warning is generated at the cloud end and is transmitted to the local controllers of all regions, and the local controllers distribute early warning information to all nodes in the regions; after the information is confirmed by relevant departments, the cloud can distribute the information and the control information of the novel infectious diseases to the local controller, and the information and the control information are broadcasted to each edge node in the area by the local controller.
2. The system of claim 1, wherein a number of edge nodes in the same area form an edge cluster, each edge cluster has a local controller and a local storage pool, the local controller is used for managing data requests of data operators, and the storage pool stores data information of original medical records; the edge node is a node with computing power and storage space, and provides data computing and data storage services; digital signature Sign of additional data provider on uploaded caseIDThe other edge nodes determine whether the medical record information is legal or not by verifying the digital signature of the data provider, and the medical record which is verified to be legal is stored in the local storage pool; each edge node in the same area regularly collects the medical record uploaded locally, generates a new data block with a time stamp, and broadcasts the new data block to other edge nodes for auditing and verification.
3. A novel infectious disease discovery and management and control system based on smart contracts according to claim 2, wherein the node with the largest contribution of storage resources in the edge cluster becomes the leader of the round of blocks in a period of time, and the leader collects all received records and generates Merkle hash values linked to the previous block records; the new block is broadcast to all edge nodes and added to the block chain.
4. The system of claim 1, wherein the verified medical records are stored in a local storage pool, and the system comprises: the medical records which are verified to be legal are stored in the local storage pool, and the index of the medical records is added into the local controller; the local controller calls medical records in the local storage pool according to the index address stored in the local controller, performs keyword analysis on the disease symptoms, and performs keyword extraction and statistics on the disease symptoms by using the LDA algorithm module.
5. The system of claim 1, further comprising a bayesian analysis between the suspicious medical records uploaded to the cloud and previously diagnosed medical records of infectious diseases stored in the cloud, and a feedback of the results and medical records to the expert learner.
6. The system of claim 5, wherein if the expert and scholars contend and are puzzled about the difficult case, the information is transmitted to the controller for uploading the case history through the cloud, the controller sends the information to the edge node for receiving the case history, and the edge node notifies the case history uploader of further inspection; if the expert scholars judge that the difficult case is not the infectious disease, deleting the record of the difficult case in the cloud and feeding the result back to the controller for uploading the case history; when the medical records containing the early warning information are stored in the local memory again, the local controller can inform the edge node receiving the medical records, and the edge node reminds a case uploader of the notice.
7. The system according to claim 1, wherein the information on the novel infectious diseases and the management and control information confirmed by the relevant departments are stored in the edge node, and when the edge node receives a medical record containing an early warning symptom, the edge node directly reminds a patient of case uploading; the management and control information can be managed and controlled in a subarea mode according to the medical record condition of the infectious disease in each area.
8. A system for discovering and managing a novel infectious disease based on intelligent contracts according to claim 1, characterized in that the system further comprises 6 intelligent contracts:
contract 1: once the local storage pool stores a new medical record, the local controller automatically establishes an index of the medical record in the local storage pool;
contract 2: once the index table in the local controller is updated, the LDA algorithm analysis is carried out on medical records in the local storage pool, and the medical records with disease symptoms reaching a threshold value are automatically uploaded to the cloud;
contract 3: early warning information sent by the cloud is automatically transmitted to the local controller of each area;
contract 4: the early warning information received by the local controller is automatically transmitted to each edge node in the area;
contract 5: the control information of the novel infectious diseases in each region sent by the cloud is automatically transmitted to the local controllers in each region;
contract 6: the control information of the novel infectious diseases received by the local controller is automatically transmitted to each edge node in the area.
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| CN116342345A (en) * | 2023-05-26 | 2023-06-27 | 湖南智慧平安科技有限公司 | Intelligent community convenience comprehensive service method and platform based on big data |
| CN116342345B (en) * | 2023-05-26 | 2023-09-19 | 贺显雅 | Intelligent community convenience comprehensive service method and platform based on big data |
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