Block chain technology-based preschool child vision monitoring management system

Abstract

The invention belongs to the field of information systems, and provides a preschool child vision monitoring management system based on a block chain technology, comprising a data acquisition module used for acquiring vision data of a child; the privacy protection module is used for protecting the privacy information of the child from being leaked in the analysis process; the block chain network module is used for storing all vision data and performing access control through an alliance chain; the intelligent contract module is used for detecting the vision data; the user access module is used for parents, doctors and educational institutions to access the eyesight data of the children based on their permissions; the incentive module automatically distributes points through an intelligent contract; and the decentralized data sharing module is used for allowing the users to autonomously decide whether to share their data with a third party or not, and managing the transaction and use permission of the data through an intelligent contract. According to the scheme, a safe and efficient preschool child vision monitoring management scheme can be provided.

Description

Technical Field

[0001] The present invention belongs to the field of information systems, and in particular relates to a preschool children's vision monitoring and management system based on blockchain technology. Background Art

[0002] With the rapid development of society and changes in lifestyle, the vision health of preschool children has received increasing attention. The preschool stage is a critical period for the development of children's vision. The visual system develops rapidly at this stage, and the eye's accommodation function and visual acuity gradually mature. However, due to the popularity of electronic devices, the formation of bad eye habits, and the lack of sufficient outdoor activities, more and more children have vision problems in the preschool stage, such as myopia, hyperopia, amblyopia, and strabismus. If these problems are not effectively monitored and intervened in the early stages, they may lead to more serious vision impairment in children during school age, which in turn affects their learning ability and quality of life. Therefore, it is crucial to conduct systematic vision monitoring and management of preschool children.

[0003] Currently, vision monitoring of preschool children mainly relies on the following methods:

[0004] Children undergo routine vision examinations in kindergartens or hospitals, including eye chart testing, refraction measurement, and eye examinations. These examinations are performed by professional medical staff once a year or every six months.

[0005] Parents judge their children's vision at home by using a simple eye chart or observing their children's behavior (such as whether they watch TV too closely, squint frequently, etc.). This method has low accuracy and is prone to overlooking potential vision problems.

[0006] Some kindergartens and primary schools will conduct vision examinations for children before or at the beginning of school, and advise parents whether further medical examinations are needed based on the results of the examination.

[0007] Medical institutions in some areas organize centralized vision screening programs for preschool children at specific time periods, such as pre-school health checks.

[0008] Although the above methods have helped to detect children's vision problems to a certain extent, there are still many shortcomings:

[0009] The limited frequency of regular vision tests and school physicals, which occur once or twice a year, means that early signs of vision problems can be missed between tests. Vision problems can worsen in a short period of time if not detected and treated promptly.

[0010] The existing vision data management method is decentralized, with data stored in different medical institutions or families and lacking unified management. This makes it difficult to track and analyze vision data, making it impossible to form a continuous health record, and affecting the overall assessment of children's vision by medical institutions.

[0011] Traditional vision monitoring data management lacks effective privacy protection measures, and children's health data are vulnerable to threats during transmission and storage, and there is a risk of tampering or leakage.

[0012] Since vision examinations are mostly conducted in medical institutions, parents are often in a passive state in the process of managing their children's vision and lack real-time understanding and sense of participation in the data.

[0013] The existing vision monitoring system is limited to data collection and simple result feedback. It lacks individual vision health trend analysis and personalized intervention recommendations, making it difficult to meet the specific needs of different children. Summary of the invention

[0014] In order to solve the problems in the prior art, the present invention provides a preschool children's vision monitoring and management system based on blockchain technology, the system comprising the following modules: a data acquisition module, used to collect children's vision data and encrypt the data and upload it to the blockchain;

[0015] A privacy protection module is used to anonymize data to ensure that children’s privacy information is not disclosed during data sharing and analysis;

[0016] Blockchain network module, used to store all vision data and control access through consortium chain;

[0017] Smart contract module, used to detect vision data, and automatically notify parents or medical institutions when children’s vision data is abnormal;

[0018] A user access module, which allows parents, doctors and educational institutions to access children's vision data based on their permissions and provides a visual interface;

[0019] An incentive module, which is used to automatically allocate points through smart contracts whenever parents or institutions upload new vision data, participate in health surveys, or complete system tasks. The points can be used to redeem health-related products and services or to pay for future examinations;

[0020] The decentralized data sharing module is used to allow users to decide whether to share their data with third parties, and manage data transactions and usage permissions through smart contracts.

[0021] The present invention can produce the following beneficial effects through the above technical solution:

[0022] The system uses the immutability and decentralized storage characteristics of blockchain technology to ensure the high security of children's vision data during storage, transmission and sharing. The privacy protection module ensures that sensitive information is not leaked during data sharing and analysis, protecting the privacy of children and families.

[0023] Through blockchain technology, the system realizes transparent management and traceability of all vision data and operation records. The upload, access, modification and sharing process of each piece of data is recorded in detail and can be traced at any time, ensuring the fairness and credibility of data management.

[0024] The system incentive module automatically distributes points through smart contracts to encourage parents, medical institutions and educational institutions to actively participate in data collection, health surveys and system tasks. Points can be used to redeem health-related products or services, which increases the user's motivation to participate and improves the overall activity of the system.

[0025] The smart contract module monitors uploaded vision data in real time. Once an abnormality is detected, the system automatically triggers a notification mechanism to promptly remind parents or medical institutions to take further inspections and intervention measures. This automated response improves the efficiency of early detection and treatment of vision problems.

[0026] The user access module provides parents, doctors and educational institutions with personalized data access services based on permissions, and displays vision data through a visual interface, allowing users to intuitively understand and analyze children's vision conditions and make more scientific health management decisions.

[0027] The decentralized data sharing module gives users full control over their vision data. Users can decide whether to share their data with third parties, and manage data transactions and usage permissions through smart contracts. This mechanism not only ensures the security of data sharing, but also promotes the rational use of data and maximizes social value.

[0028] In summary, while ensuring data security and privacy, the system has comprehensively improved the efficiency and effectiveness of preschool children's vision health management through intelligent, decentralized management and user incentive mechanisms. It not only provides users with more convenient and personalized services, but also supports a wider range of health research and social services through the reasonable sharing and use of data, and has significant social and economic value. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0030] Figure 1 It is a system structure diagram of the present invention. DETAILED DESCRIPTION

[0031] Below, the invention is preferably described in conjunction with the accompanying drawings and specific implementation methods.

[0032] like Figure 1 As shown, the present invention provides a preschool children's vision monitoring and management system based on blockchain technology.

[0033] Blockchain technology is a distributed ledger technology that provides a new way for data storage and management through its decentralized, tamper-proof, transparent and secure characteristics. In this system, blockchain technology is used to store, manage and share children's vision data, ensuring data security and privacy while achieving data traceability and transparency.

[0034] In order to solve the problems in the prior art, the system disclosed in this embodiment is an advanced management system developed using blockchain technology, which is specifically used for continuous monitoring and management of the vision health of preschool children. The system ensures the security and privacy of vision data by integrating the decentralization and immutability of blockchain, while providing parents, doctors and educational institutions with a reliable platform for storing, accessing and analyzing children's vision data. Through this system, children's vision monitoring can be more frequent, data is more accurate, and management processes are more efficient and transparent, ultimately helping children get comprehensive health protection at critical stages of vision development. The various functional modules of the system work together to not only realize the collection, storage and management of vision data, but also ensure the compliance use of data and maximum protection of user privacy through smart contracts and privacy protection technologies.

[0035] Specifically, the system implemented in this embodiment includes the following modules:

[0036] The data collection module is used to collect children’s vision data and encrypt the data before uploading it to the blockchain.

[0037] The data acquisition module is the basic component of the system, responsible for obtaining children's vision data from multiple sources and ensuring the security of this data during transmission and after storage. This module mainly includes the following key steps and implementation methods:

[0038] First, the vision data of preschool children are collected through vision testing equipment (such as vision charts, automatic ophthalmometers, eye scanners, etc.) installed in homes, kindergartens or medical institutions. These data may include key indicators such as vision value, refraction, axial length, corneal curvature, etc.

[0039] After the data collection is completed, the data collection module will immediately pre-process the raw data. This step may include standardization of data format, data verification, and removal of noise data to ensure that the data uploaded to the blockchain is accurate.

[0040] Subsequently, in order to protect the privacy and security of children's sensitive data, the data collection module uses advanced encryption algorithms to encrypt all collected data. Common encryption methods may include symmetric encryption (such as AES) or asymmetric encryption (such as RSA) to ensure that the data will not be accessed or tampered with by unauthorized third parties even during data transmission.

[0041] After encryption is completed, the data collection module uploads the encrypted data to the blockchain network through the system's built-in API or dedicated interface. The blockchain network is responsible for storing these data on a distributed ledger to ensure the data is tamper-proof and traceable. During the upload process, the system generates a unique hash value for each piece of data and adds a timestamp to mark the submission time and data source of the data, thereby ensuring the integrity and real-time nature of the data.

[0042] At the same time, the data collection module records the upload operation of each batch of data and generates corresponding logs, which are also securely stored on the blockchain for future auditing or verification.

[0043] Specifically:

[0044] When vision data D is collected, the system generates a timestamp T to record the time when the data was generated:

[0045] T=Timestamp(D)

[0046] The data format of the initial record is:

[0047] Record0={D,T0}

[0048] Among them, T0 is the initial timestamp of data generation.

[0049] Generate log records for each data operation, and use hash algorithms to ensure the integrity and immutability of the operation.

[0050] Whenever data D is operated (e.g., created, modified, deleted), an operation log record L is generated. i

[0051] Li ={Operation,H i-1 ,T i ,User}

[0052] Operation is the operation type (such as create, modify, delete), H i-1 is the hash value of the previous operation, T i It is the timestamp of the current operation, and User is the operating user.

[0053] Calculate the hash value H of the log record i

[0054] H i =SHA-256(L i )

[0055] These hash values ​​form the leaf nodes of the storage tree.

[0056] At the same time, the log records and the generated hash values ​​are stored on the chain, and the format of the data records is updated to:

[0057] Record i ={D,H i ,T i}

[0058] The hash value of a non-leaf node is the combined hash value of its child nodes. For each pair of adjacent leaf nodes H i and H i+1 , generate their parent node hash value H i,i+1

[0059] H i,i+1 =SHA-256(H i ||H i+1 )

[0060] Among them, || represents the string concatenation operation.

[0061] Repeat the process of combining hashes until the top-level root hash R is generated, which is the storage tree root of the entire data set:

[0062] R=Root(H1,H2,…,H n )

[0063] This root hash R is stored on the blockchain for subsequent integrity verification.

[0064] After each data operation is completed, the data D and the latest hash value H i and timestamp T i Recorded in the blockchain:

[0065] Block i={H i ,T i ,Record i}

[0066] Among them, R i is the root hash value of the current block, Record i It is a collection of data records and logs.

[0067] When a user or system wants to retrieve a specific data record, it can use the hash value H j Make a query.

[0068] The query operation is performed on the blockchain, traversing the stored block data to find the target hash value H j If a matching record is found, j The system returns it.

[0069] Use the root hash R of the storage tree to verify the found record Record j Has it not been tampered with? If H j If it matches the root hash R of the query, the data is complete and has not been tampered with.

[0070] Through this implementation method, the data acquisition module not only completes the effective collection of vision data, but also ensures the high security and reliability of data during transmission and storage through encryption technology and blockchain storage.

[0071] The privacy protection module is used to anonymize data to ensure that children’s privacy information is not disclosed during data sharing and analysis.

[0072] The core task of the privacy protection model is to ensure that children’s sensitive information will not be leaked or abused in all aspects of data sharing and analysis.

[0073] Before uploading the data to the blockchain, the privacy protection module first encrypts and anonymizes the children’s vision data. Encryption uses symmetric or asymmetric encryption algorithms, while anonymization removes or blurs identifiable personal information so that the data cannot be directly associated with a specific child.

[0074] Furthermore, when a third party (such as a research institution or public health department) needs to access or verify certain data, the system uses indirect data and only provides the third party with indirect data that meets the prediction conditions without exposing the specific content of the data.

[0075] For example, if a research institution needs to confirm that a child's vision data meets a certain standard without knowing the specific value of the data, the privacy protection module generates an indirect data (that is, whether it meets the standard preset by the institution) to prove to the verifier that the data does meet the conditions. The verifier can confirm the authenticity of the data through this proof without obtaining the content of the original data.

[0076] To ensure the comprehensiveness of privacy protection, the privacy protection module also strictly controls data access rights. Based on the user's identity and authorization level, the system dynamically adjusts data access rights to ensure that only authorized users or system modules can access or process specific data. The access control policy is executed by smart contracts to ensure the transparency and traceability of data access.

[0077] After each data sharing or analysis operation is completed, the privacy protection module automatically records the operation log, including access time, visitor identity, access purpose, etc. These logs are securely stored on the blockchain to ensure the transparency of the data sharing process and provide a basis for future audits and dispute resolution.

[0078] The privacy protection module ensures that children's privacy information is fully protected throughout the process of data sharing and analysis. It enables the system to complete necessary data verification and analysis tasks without leaking sensitive information, thus meeting the requirements of privacy protection without affecting the efficiency and value of data use. The design and implementation of this module provides a solid privacy protection guarantee for the entire preschool children's vision monitoring and management system.

[0079] The blockchain network module is used to store all vision data and perform access control through the alliance chain.

[0080] The blockchain network is responsible for securely storing all collected vision data and achieving effective control of data access through the alliance chain mechanism. This module uses the decentralized, tamper-proof and transparent characteristics of the blockchain to ensure that data is highly secure and reliable during storage and access. In the specific implementation process, this module mainly involves the on-chain storage of data, the implementation of access control, and the configuration and management of the alliance chain network.

[0081] After the data collection module completes the collection and encryption of vision data, the data is uploaded to the blockchain network through the system interface. Each piece of vision data is packaged into a block when it is uploaded. This block contains the encrypted content of the data, timestamp, data source identifier (such as device ID or user ID) and the hash value of the previous block, forming an unalterable chain structure.

[0082] For example, when a kindergarten's vision testing device collects a child's vision data, the data is encrypted to generate a block, which includes "vision data: encrypted content", "timestamp: 2024-08-21 10:00:00", "data source identifier: device ID12345", and is linked to the previous block.

[0083] The system uses consortium chain as the type of blockchain network. Consortium chain is a type of blockchain between private chain and public chain, jointly managed by multiple trusted organizations, and only authorized nodes can participate in data writing and verification. Each participant (such as kindergartens, hospitals, research institutions) has one or more nodes in the consortium chain, and these nodes jointly maintain the operation of the blockchain.

[0084] For example, Hospital A, Kindergarten B, and Research Institute C are members of this blockchain network, each of which runs one or more nodes that jointly participate in the storage, verification, and consensus process of vision data.

[0085] The blockchain network module manages and limits access to vision data through smart contracts and access control lists. Smart contracts determine which users or nodes can access which data and their access rights level (such as read-only, read-write, data analysis, etc.) based on predefined rules.

[0086] For example, doctors at Hospital A can access and analyze the vision data of all children in the hospital; teachers at Kindergarten B can only view the vision data of students in their class and can only perform read-only operations; researchers at Research Institute C can obtain anonymized vision data sets for academic research.

[0087] Once the data is written to the blockchain, it cannot be tampered with. Any modification to the vision data must be recorded by adding a new block, while the original data remains on the chain. In this way, the system can track the history of each data change and ensure the integrity and credibility of the data.

[0088] For example, if a parent requests to modify the incorrect data of a vision test, the system generates a new block to record the modification, while the original data remains in the blockchain to ensure data traceability.

[0089] In the consortium chain, data writing needs to be achieved through a consensus mechanism. Commonly used consensus mechanisms include PBFT (Practical Byzantine Fault Tolerance), which ensures that the blockchain network can still operate normally even if some nodes fail or act maliciously, and prevents data tampering and fraud.

[0090] For example, when the nodes of Hospital A and Kindergarten B upload vision data, the two nodes must reach an agreement through a consensus protocol to confirm the validity and integrity of the data before writing the data into the blockchain.

[0091] The blockchain network module automatically records all access requests and data change logs, which are also securely stored on the blockchain. Due to the immutability of the blockchain, these logs can serve as an important basis for data audits and security reviews, helping system administrators and regulators to conduct effective supervision.

[0092] For example, every time a research institution accesses a data set, information such as the time of the access operation, the identity of the visitor, the scope of the data set, etc. is recorded on the chain, and no party can tamper with these logs.

[0093] The smart contract module is used to detect vision data and automatically notify parents or medical institutions when children’s vision data is abnormal.

[0094] The smart contract module is an automatically executed program in the blockchain network, which is responsible for real-time monitoring and analysis of uploaded vision data. Once an abnormality is detected in the vision data, the smart contract will immediately trigger a preset automated action, such as notifying the child's parents or relevant medical institutions and recommending further examination or intervention. The introduction of smart contracts not only improves the automation of the system, but also ensures that no human intervention is required during the data processing process, thereby improving the system's response speed and reliability.

[0095] Smart contracts are automated rulesets written in code and developed using blockchain-specific programming languages ​​such as Solidity. These contracts are deployed on the blockchain and operations related to vision data are fully executed by these contracts.

[0096] For example, a smart contract could be written that contains the rule: “If a child’s vision data (e.g., diopter) falls below a certain threshold (e.g., -1.00), it is considered abnormal and a notification process is automatically triggered.”

[0097] Smart contracts are written with multiple trigger conditions preset, which are determined based on medical standards or expert advice. For example, the normal vision of children ranges from 0.8 to 1.0, and any vision data below 0.8 may be considered abnormal.

[0098] For example, a smart contract can set the following conditions: "When the diopter is below -0.5 and is negative for two consecutive tests, it is determined to be a risk of myopia, and parents need to be reminded to take their children for further examinations."

[0099] When new vision data is uploaded to the blockchain, the smart contract module automatically reads the data and performs tests based on preset conditions. If an abnormality is detected in the data, the smart contract immediately executes the next step.

[0100] For example, during a child's routine vision test in kindergarten, the vision data is uploaded to the blockchain. The smart contract module detects in real time that the child's refractive power is -1.25 (vision is significantly below the normal range), and therefore judges it as abnormal.

[0101] Once the smart contract detects abnormal data, the system automatically generates a notification message and sends it to parents or medical institutions through various means (such as SMS, email, mobile app notification). The notification content includes the specific value of the abnormal data, possible health risks, and recommended follow-up actions (such as making an appointment for a doctor's examination).

[0102] For example, when the smart contract detects abnormal vision data, the system automatically sends a text message to the parent: "Dear parents, your child's refraction in the most recent vision test was -1.25, which may be at risk of myopia. It is recommended to take your child for an eye examination as soon as possible. Please contact your doctor to arrange further examination."

[0103] The smart contract module can also be integrated with the medical institution’s system to realize an automated appointment and feedback mechanism. If parents choose to make an appointment with a doctor through a notification link, the system can automatically connect with the medical institution, arrange the appointment time and notify the parents. In addition, the feedback data uploaded by the doctor after the examination can also be automatically recorded and analyzed through smart contracts.

[0104] For example, a parent makes an appointment for an eye examination at a hospital through a notification link in the system. The smart contract automatically generates an appointment form and confirms the time and location. After the doctor completes the examination, the results are uploaded to the blockchain, and the smart contract automatically updates the child's health record and notifies the parents of the results.

[0105] All abnormal data detected by smart contracts and subsequent notification and feedback operations are automatically recorded on the blockchain to form a complete record chain. This process ensures the transparency and traceability of all abnormal detection and subsequent processing.

[0106] For example, the system records the time when a child's refractive error is detected, the time when the notification is sent, the time when the parents respond, and the doctor's examination results. This information can be used in subsequent analysis to evaluate the development trend of vision problems and the speed of parents' response.

[0107] The user access module is used to allow parents, doctors and educational institutions to access children's vision data based on their permissions, and also provides a visual interface.

[0108] The user access module is a key part of the system that interacts with end users. It is designed to provide permission-based vision data access services for users with different roles (such as parents, doctors, and educational institutions), while displaying data through an intuitive visual interface to help users better understand and analyze children's vision conditions. The module combines authentication, permission management, and data visualization technologies to ensure that users can safely and conveniently access data related to their roles while protecting data privacy and system security.

[0109] The primary task of the user access module is to authenticate different users and ensure that only authorized users can access the system. Authentication is achieved through username and password, two-factor authentication (2FA) or biometrics (such as fingerprint, facial recognition).

[0110] After the user successfully logs in, the system assigns corresponding access rights based on the user's identity (parent, doctor, educational institution administrator, etc.). Permission management is implemented through predefined access control policies (such as role-based access control RBAC), ensuring that users can only access data related to their roles.

[0111] For example, parents can view their own children's vision data but cannot access other children's data; doctors can access the vision records of all children under their care; administrators of educational institutions can view vision data statistics for the entire school or class but cannot see specific personal privacy information.

[0112] After the user successfully passes the identity authentication and obtains the corresponding permissions, the user access module extracts the relevant vision data from the blockchain network according to the user's request. The data is further decrypted and processed to ensure that the data is properly protected and optimized before being displayed to the user.

[0113] For example, if a parent requests to view the child's vision development over the past six months, the system will extract the vision data for the corresponding time period from the blockchain, decrypt and format it, and present it to the user.

[0114] The user access module provides a friendly visual interface to help users understand and analyze data. The visual interface uses charts, trend lines, bar charts and other forms to intuitively display complex vision data. Users can view the trend of their children's vision changes, comparative analysis with children of the same age, and health advice.

[0115] For example, after logging into the system, parents can see a line graph of their child's vision changes, showing the vision data points for each checkup, and a baseline representing the health standard. If the child's vision is below the baseline, the graph is marked in red, with health advice automatically generated by the system.

[0116] The user access module allows users to filter and customize the data display as needed. For example, parents can choose to view data for a specific time period, doctors can filter data for a specific group of children, and administrators of educational institutions can generate statistical reports on the vision health of the entire school.

[0117] For example, a doctor can use the screening function in the system to choose to view the refractive changes of all myopic children in the past three months and generate a detailed report to guide further medical intervention.

[0118] The incentive module is used to automatically allocate points through smart contracts whenever parents or institutions upload new vision data, participate in health surveys, or complete system tasks. The points can be used to redeem health-related products and services or to pay for future examinations.

[0119] The incentive module is an incentive mechanism in the system that aims to encourage parents, medical institutions and educational institutions to actively participate in the collection and management of vision data. Whenever a user uploads new vision data, participates in a health survey or completes a system task, the incentive module automatically allocates points as rewards through smart contracts. These points can be accumulated and used to redeem health-related products and services, or to pay for future examinations, thereby increasing user participation and the overall activity of the system.

[0120] The incentive module first designs a points system to assign corresponding points to users for various activities in the system. For example, every time a user successfully uploads vision data, completes a health questionnaire, or participates in a specific health task, the user will receive a certain number of points. The points system sets the corresponding point values ​​for different tasks and activities.

[0121] For example, uploading a new eye exam data can earn 10 points, participating in a health questionnaire can earn 5 points, and completing a health challenge (such as a monthly eye exam) can earn 20 points.

[0122] Whenever a user completes a specific operation (such as uploading data or filling out a questionnaire), the system automatically triggers the smart contract. The smart contract calculates the points to be given according to the preset rules and automatically distributes them to the user's account. This process does not require human intervention, ensuring the fairness and immediacy of point distribution.

[0123] For example, once a parent uploads their child’s vision data, the smart contract is triggered and checks the user’s account, automatically adds 10 points, and sends a notification to the user to inform him that the points have been increased.

[0124] The incentive module also includes a points redemption system where users can use their accumulated points to redeem health-related products and services. Redemption options can include vision care products (such as glasses, eye drops), health services (such as eye exam appointments), or online courses. In addition, users can also use points to pay for future vision exams to reduce financial burden.

[0125] For example, parents can use their accumulated 100 points to redeem a bottle of children's eye drops, or use 200 points to offset part of the cost of the next vision examination.

[0126] The decentralized data sharing module is used to allow users to decide whether to share their data with third parties, and manage data transactions and usage permissions through smart contracts.

[0127] The decentralized data sharing module aims to give users full control over their data through the decentralized nature of blockchain. Users can decide whether and under what conditions to share their vision data with third parties (such as research institutions, medical service providers or public health agencies). The module uses smart contracts to manage data transactions and usage permissions to ensure that the data sharing process is transparent, secure, and in compliance with user authorization conditions. In this decentralized way, the system not only protects the privacy and security of data, but also promotes the rational use and value creation of data.

[0128] After users access the system, they can see their vision data in their personal accounts and choose whether to share this data with third parties. The system provides a user-friendly interface that displays optional third-party data usage requests and related information (such as data usage, usage period, privacy protection measures, etc.).

[0129] For example, a public health agency requests access to a user's vision data to study trends in children's vision development. After reviewing the relevant information, the user can choose to agree or deny the request.

[0130] Users can set conditions for data sharing, such as the scope of data use, usage period, anonymization requirements, etc. These conditions will be clearly listed through smart contracts and automatically executed during the data transaction process.

[0131] For example, users can set that data can only be used for academic research and must be destroyed within one year; or require that data must be anonymized before sharing to ensure that personal privacy is not leaked.

[0132] Once the user agrees to share data, the smart contract is triggered to automatically execute the management of data transactions and usage permissions. Smart contracts control data access rights, usage methods and time according to the conditions set by the user, and record all transaction operations to ensure the transparency and immutability of the entire process.

[0133] For example, when a user agrees to share data and sets the usage period to one year, the smart contract starts counting after the data is transferred and automatically revokes the third party’s access rights after one year.

[0134] The decentralized data sharing module ensures that the data storage and transmission process is also decentralized. Data can be distributed and stored on multiple blockchain nodes, and any sharing behavior is transmitted in the network in a peer-to-peer manner without relying on a single centralized server. This greatly improves the security and anti-attack resistance of the data.

[0135] For example, when users agree to share data, the data is encrypted and transmitted through multiple nodes in the blockchain network and distributedly stored on designated nodes, and third parties can access the data within the authorized scope.

[0136] The system monitors data usage in real time through smart contracts to ensure that third parties use data in accordance with agreed conditions. If any illegal use is found, the smart contract can immediately revoke the third party's access rights and send a warning notification to the user. Users can also view data usage at any time through the system interface and actively revoke access rights.

[0137] For example, if a research institution attempts to access data outside of an authorized time period, the smart contract automatically denies the request and notifies the user and relevant regulators.

[0138] All data transactions and usage permission operations are recorded on the blockchain, forming an unalterable audit record. Users, third-party organizations and regulators can access these records at any time to ensure the legitimacy and transparency of the data sharing process.

[0139] For example, the system records information such as the time, sharing party, recipient, and usage conditions of a certain data sharing. These records can be used as a basis for future audits.

[0140] The present invention does not particularly specify the structure of some modules, which shall be subject to the contents recorded in the prior art. The prior art mentioned in the above background technology section and the specific embodiment section of the present invention can be used as part of the present invention to understand the meaning of some technical features or parameters. The scope of protection of the present invention shall be subject to the contents actually recorded in the claims.

Claims

1. A preschool children's vision monitoring and management system based on blockchain technology, characterized by The system includes the following modules: The data collection module is used to collect children's vision data and upload the data to the blockchain after encryption; the privacy protection module is used to anonymize the data to ensure that the children's privacy information is not disclosed during the data sharing and analysis process; The blockchain network module is used to store all vision data and control access through the alliance chain; the smart contract module is used to detect vision data and automatically notify parents or medical institutions when children's vision data is abnormal; A user access module, which allows parents, doctors and educational institutions to access children's vision data based on their permissions and provides a visual interface; An incentive module, which is used to automatically allocate points through smart contracts whenever parents or institutions upload new vision data, participate in health surveys, or complete system tasks. The points can be used to redeem health-related products and services or to pay for future examinations; The decentralized data sharing module is used to allow users to decide whether to share their data with third parties, and manage data transactions and usage permissions through smart contracts.

2. The preschool children's vision monitoring and management system based on blockchain technology according to claim 1 is characterized in that The data collection module generates a unique hash value for each piece of data and adds a timestamp to mark the submission time and data source of the data.

3. The preschool children's vision monitoring and management system based on blockchain technology according to claim 1 is characterized in that The data collection module records the upload operation of each batch of data and generates a corresponding log, which is stored on the blockchain.

4. The preschool children's vision monitoring and management system based on blockchain technology according to claim 1 is characterized in that The privacy protection module only provides indirect data that meets the prediction conditions to the third party without exposing the specific content of the data.

5. The preschool children's vision monitoring and management system based on blockchain technology according to claim 1 is characterized in that The blockchain network module adopts alliance chain as the type of blockchain network, which is jointly managed by multiple trusted organizations, and only authorized nodes can participate in data writing and verification; each participant owns one or more nodes in the alliance chain, and these nodes jointly maintain the operation of the blockchain.

6. The preschool children's vision monitoring and management system based on blockchain technology according to claim 1 is characterized in that When new vision data is uploaded to the blockchain, the smart contract module automatically reads the data and performs tests based on preset conditions.

7. The preschool children's vision monitoring and management system based on blockchain technology according to claim 1 is characterized in that All abnormal data detected by smart contracts and subsequent notification and feedback operations are automatically recorded on the blockchain, forming a complete chain of records.

8. The preschool children's vision monitoring and management system based on blockchain technology according to claim 1 is characterized in that Parents can view their own children's vision data, but cannot access other children's data; doctors can access the vision records of all children under their care; administrators of educational institutions can view vision data statistics for the entire school or class, but cannot see specific personal privacy information.

9. The preschool children's vision monitoring and management system based on blockchain technology according to claim 1 is characterized in that Whenever a user completes a preset operation, the system automatically triggers the smart contract, which calculates the points to be given according to the preset rules and automatically distributes them to the user's account.

10. The preschool children's vision monitoring and management system based on blockchain technology according to claim 1 is characterized in that After the user agrees to share the data, the smart contract is triggered to automatically execute the management of data transactions and usage permissions. The smart contract controls the access rights, usage methods and time of the data based on the conditions set by the user, and records all transaction operations.

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