Child allergen confirmation method and system based on online data transmission

Abstract

The invention discloses a child allergen confirmation method and system based on online data transmission, and relates to the technical field of data transmission. The method comprises the steps of encrypting and transmitting collected child biological monitoring data to a parent terminal based on an asymmetric key pair, and generating an updated asymmetric key pair; based on the symmetric key, encrypting and transmitting the child biological monitoring data and the input child allergen description data to an analysis terminal, and generating an updated symmetric key; using a child allergen knowledge graph to extract child allergen information of the child allergen description data and the child biological monitoring data, and performing auditing to obtain standard child allergen information; and based on the updated symmetric key, encrypting and transmitting the standard child allergen information to the parent terminal, and checking the standard child allergen information. The problems of data potential safety hazards, key management rigidity and insufficient data processing accuracy in the prior art are solved.

Description

Technical Field

[0001] This invention relates to the field of data transmission technology, and in particular to a method and system for identifying allergens in children based on online data transmission. Background Technology

[0002] With childhood allergies becoming an increasingly prominent issue, rapid and accurate identification of allergens is crucial for prevention and treatment. Traditional allergen identification requires staff and parents to repeatedly compare, confirm, and communicate with each other regarding the child's allergen test reports. This process is cumbersome, time-consuming, and cannot meet the immediate needs of daily home testing.

[0003] With the development of the Internet of Things (IoT), solutions for online allergen identification based on analytics platforms have emerged. However, these solutions have significant drawbacks in terms of data transmission and information security.

[0004] 1) Data security risks: Children's biomonitoring data (such as vital signs, biometrics, and behavior) and children's allergen description data (such as reports) are highly sensitive personal health information. If static keys or simple encryption methods are used during data transmission, a leak of the key could lead to a large amount of private data being stolen or misused.

[0005] 2) Rigid key management: Existing key management mechanisms use a static management approach. Static keys are not updated for a long time, which greatly increases the risk of being cracked. The lack of dynamic key management makes it impossible to respond dynamically, resulting in insufficient security.

[0006] 3) Insufficient data processing accuracy: Parents' descriptions of allergens (e.g., in texts or reports) are often vague, colloquial, or use inappropriate technical terms. Furthermore, the correlation analysis between biomonitoring data and allergens requires a high level of expertise. Existing technologies largely rely on simple keyword matching or database queries, making it difficult to accurately and comprehensively extract effective information, easily leading to misjudgments or omissions, and affecting the reliability of the confirmation results. Summary of the Invention

[0007] This invention provides a method and system for identifying allergens in children based on online data transmission, which solves the problems of data security risks, rigid key management, and insufficient data processing accuracy in existing technologies.

[0008] In a first aspect, embodiments of the present invention provide a method for identifying allergens in children based on online data transmission, characterized in that the method includes:

[0009] Based on the asymmetric key pair for intra-domain data transmission, the biological monitoring data of children collected by the data acquisition device in the detection domain is encrypted and transmitted to the parent terminal in the detection domain, and a dynamic key update mechanism is triggered to obtain the updated asymmetric key pair.

[0010] Based on the symmetric key for inter-domain data transmission, the children's biomonitoring data and the input children's allergen description data are encrypted and transmitted to the analysis terminal in the transmission domain, and a dynamic key update mechanism is triggered to obtain the updated symmetric key.

[0011] Using a knowledge graph of childhood allergens, we extract allergen information from the received description data of childhood allergens and the data from childhood biomonitoring, and then review it to obtain standardized information on childhood allergens.

[0012] Based on the updated symmetric key, the standard children's allergen information is encrypted and transmitted to the parent terminal in the detection domain, and the parent terminal verifies the standard children's allergen information.

[0013] The method and system for identifying childhood allergens based on online data transmission provided in this application have the following advantages:

[0014] A layered encryption strategy of "intra-domain asymmetric encryption + inter-domain symmetric encryption" combined with quantum key distribution (QKD) technology was adopted to achieve end-to-end data security from the device to the cloud. Asymmetric keys solved the key distribution problem, symmetric keys ensured transmission efficiency, and QKD provided theoretically unconditionally secure guarantees for the generation of symmetric keys, fundamentally reducing the risk of data leakage. A triple dynamic key update mechanism based on "time factor, behavioral factor, and environmental factor" was proposed. In particular, children's actual behavior and environmental monitoring data were bound to key security. Through precise analysis using the LSTM-GRU algorithm, key updates were no longer a rigid timed task, but could intelligently respond according to the actual security situation, greatly improving the key system's resistance to attacks and survivability. A children's allergen knowledge graph was introduced to replace traditional keyword matching. By semantically mapping keyword groups, it can understand vague and colloquial expressions and accurately identify professional terms, solving the problem of inaccurate descriptions by parents. Combined with a manual review process, it ensured both the efficiency of data processing and the accuracy and reliability of the final results, achieving the best effect of human-machine collaboration.

[0015] In one optional implementation, based on an asymmetric key pair for intra-domain data transmission, the child's biometric monitoring data collected by the data acquisition device in the detection domain is encrypted and transmitted to the parent's terminal in the detection domain, and a dynamic key update mechanism is triggered to obtain an updated asymmetric key pair, including:

[0016] Generate asymmetric key pairs for data transmission within the detection domain and symmetric keys for data transmission between the detection domain and the transmission domain, and configure a dynamic key update mechanism;

[0017] Based on the private key in the asymmetric key pair, the data acquisition device in the detection domain is used to encrypt the collected children's biometric monitoring data, and the encrypted children's biometric monitoring data is transmitted to the parent terminal in the detection domain.

[0018] Extract the first time factor parameter of the private key. If the first time factor parameter is greater than the time factor threshold, trigger the dynamic key update mechanism to update the asymmetric key pair and publish the updated asymmetric key pair to the detection domain.

[0019] In one optional implementation, an asymmetric key pair for data transmission within the detection domain and a symmetric key for data transmission between the detection domain and the transmission domain are generated, and a dynamic key update mechanism is configured, including:

[0020] Call upon trusted institutions within the detection domain, use an asymmetric key generation algorithm to generate asymmetric key pairs for data transmission within the detection domain, and configure a dynamic key update mechanism for trusted institutions.

[0021] Send the private key of the asymmetric key pair to the data acquisition device in the detection domain, and send the public key of the asymmetric key pair to the parent terminal in the detection domain;

[0022] In the parent terminal within the detection domain, a random entropy source is generated. Combined with the child's biometric summary, a master key seed is obtained. A behavioral and environmental factor parameter extraction model and a dynamic key update mechanism are configured for the parent terminal.

[0023] Using the QKD modules of the parent terminal and the analysis terminal, a QKD secure channel is built between the detection domain and the transmission domain, and a shared session key is generated on the parent terminal and the analysis terminal based on the QKD secure channel;

[0024] Based on the session key, the master key seed is encrypted and transmitted to the analysis terminal. Based on the master key seed, the same symmetric key for data transmission between the detection domain and the transmission domain is generated on both the parent terminal and the analysis terminal.

[0025] In one alternative implementation, the dynamic key update mechanism includes a time factor triggering mechanism, a behavior factor triggering mechanism, and an environmental factor triggering mechanism.

[0026] The time factor triggering mechanism is as follows: if the time factor parameter of the asymmetric key pair / symmetric key is greater than the time factor threshold, then the corresponding asymmetric key pair / symmetric key is updated.

[0027] The behavioral factor triggering mechanism is as follows: if the behavioral factor parameters of the children's biomonitoring data extracted by the behavioral and environmental factor parameter extraction model are greater than the behavioral factor threshold, then the corresponding symmetric key is updated.

[0028] The environmental factor triggering mechanism is as follows: if the environmental factor parameters of the children's biomonitoring data extracted by the behavior and environmental factor parameter extraction model are greater than the environmental factor threshold, then the corresponding symmetric key is updated.

[0029] In one optional implementation, based on a symmetric key for inter-domain data transmission, the child's biomonitoring data and the input child allergen description data are encrypted and transmitted to the analysis terminal in the transmission domain, triggering a dynamic key update mechanism to obtain the updated symmetric key, including:

[0030] Based on the public key in the asymmetric key pair, the encrypted child biometric monitoring data is decrypted using the parent terminal in the detection domain, resulting in the decrypted child biometric monitoring data.

[0031] Using the parent terminal in the detection domain, the input child allergy description data and the corresponding decrypted child biomonitoring data are compressed and packaged to obtain a data packet;

[0032] The data packet is encrypted using the symmetric key to obtain the encrypted data packet, and then the encrypted data packet is transmitted to the analysis terminal in the transmission domain.

[0033] Using the parent terminal's behavior and environmental factor parameter extraction model, behavioral and environmental factor parameters of the decrypted children's biomonitoring data are extracted;

[0034] If the behavior factor parameter is greater than the behavior factor threshold, the dynamic key update mechanism is triggered to update the symmetric key and obtain the updated symmetric key; otherwise, proceed to the next step.

[0035] If the environmental factor parameter is greater than the environmental factor threshold, the dynamic key update mechanism is triggered to update the symmetric key and obtain the updated symmetric key; otherwise, proceed to the next step.

[0036] Extract the second time factor parameter of the symmetric key. If the second time factor parameter is greater than the time factor threshold, trigger the dynamic key update mechanism to update the symmetric key and obtain the updated symmetric key.

[0037] In one optional implementation, a pediatric allergen knowledge graph is used to extract pediatric allergen information from received pediatric allergen description data and pediatric biomonitoring data, and this information is then reviewed to obtain standardized pediatric allergen information, including:

[0038] Based on the symmetric key, the encrypted data packet is decrypted using the analysis terminal in the transmission domain, and the decrypted data packet is decompressed to obtain the decrypted children's allergen description data and the decrypted children's biomonitoring data.

[0039] Extract keyword groups from the decrypted children's allergen description data and the decrypted children's biomonitoring data, and obtain the similarity between each keyword in the keyword group and the children's allergen knowledge graph;

[0040] Based on similarity, a knowledge graph of children's allergens is used to perform semantic mapping on keyword groups to obtain information on children's allergens that includes several entities of children's allergens;

[0041] The information on children's allergens is manually reviewed to remove erroneous and duplicate allergen entities, resulting in standardized information on children's allergens.

[0042] In one alternative implementation, the behavioral and environmental factor parameter extraction model is constructed based on the LSTM-GRU algorithm.

[0043] In one optional implementation, based on the updated symmetric key, standard childhood allergen information is encrypted and transmitted to the parent's terminal in the detection domain, and the parent's terminal verifies the standard childhood allergen information, including:

[0044] Based on the updated symmetric key, the standard children's allergen information is encrypted using the analysis terminal in the transmission domain, and the encrypted standard children's allergen information is transmitted to the parent terminal in the detection domain.

[0045] Based on the updated symmetric key, the encrypted standard children's allergen information is decrypted using the parent terminal in the detection domain, and the decrypted standard children's allergen information is then visualized.

[0046] The decrypted standard allergen information for children is checked. If there are errors in the standard allergen information for children, the process returns to the monitoring data collection step and the allergen confirmation process for children is repeated.

[0047] In one alternative implementation, the children's biomonitoring data includes children's vital signs monitoring data, children's biometrics, children's behavior monitoring data, and environmental monitoring data;

[0048] The data describing childhood allergens includes allergen testing reports and descriptive texts of childhood allergens.

[0049] Secondly, embodiments of the present invention provide a child allergen identification system based on online data transmission, used to implement a method for identifying child allergens. The system includes a data acquisition device and a parent terminal set in the detection domain, and an analysis terminal set in the transmission domain. The parent terminal is communicatively connected to the data acquisition device and the analysis terminal respectively.

[0050] The data acquisition device is used to encrypt and transmit the collected children's biometric monitoring data to the parent terminal in the detection domain based on the asymmetric key pair for data transmission within the domain, and trigger a dynamic key update mechanism to obtain the updated asymmetric key pair.

[0051] The parent terminal is used to encrypt and transmit children's biomonitoring data and input children's allergen description data to the analysis terminal in the transmission domain based on the symmetric key of inter-domain data transmission, and triggers a dynamic key update mechanism to obtain the updated symmetric key; it also verifies the standard children's allergen information.

[0052] The analysis terminal is used to extract and review the received child allergy description data and child biomonitoring data using a child allergy knowledge graph, and obtain standard child allergy information. Based on the updated symmetric key, the standard child allergy information is encrypted and transmitted to the parent terminal in the detection domain.

[0053] A third aspect of this invention provides an electronic device, which includes:

[0054] At least one processor; and a memory communicatively connected to the at least one processor; wherein,

[0055] The memory stores instructions that can be executed by at least one processor, such that the at least one processor can perform the method proposed in the first aspect of the present invention.

[0056] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method as described in the first aspect of the present invention. Attached Figure Description

[0057] Figure 1 This is a flowchart illustrating the steps of a method for identifying childhood allergens based on online data transmission, as provided in an embodiment of the present invention.

[0058] Figure 2 This is a structural block diagram of a children's allergen identification system based on online data transmission provided in an embodiment of the present invention. Detailed Implementation

[0059] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0060] The present invention will be further described below with reference to the accompanying drawings.

[0061] Reference Figure 1 The present invention provides a method for identifying allergens in children based on online data transmission, characterized in that the method includes:

[0062] S101: Based on the asymmetric key pair for data transmission within the domain, the biological monitoring data of children collected by the data acquisition device in the detection domain is encrypted and transmitted to the parent terminal in the detection domain, and a dynamic key update mechanism is triggered to obtain the updated asymmetric key pair.

[0063] S102: Based on the symmetric key for inter-domain data transmission, the child biomonitoring data and the input child allergen description data are encrypted and transmitted to the analysis terminal in the transmission domain, and a dynamic key update mechanism is triggered to obtain the updated symmetric key;

[0064] S103: Using a knowledge graph of childhood allergens, extract the allergen information from the received description data of childhood allergens and the biomonitoring data of children, and review it to obtain standard information on childhood allergens;

[0065] S104: Based on the updated symmetric key, the standard child allergen information is encrypted and transmitted to the parent terminal in the detection domain, and the standard child allergen information is verified on the parent terminal.

[0066] A layered encryption strategy of "intra-domain asymmetric encryption + inter-domain symmetric encryption" combined with quantum key distribution (QKD) technology achieves end-to-end data security from the device to the cloud. Asymmetric keys solve the key distribution problem, symmetric keys ensure transmission efficiency, and QKD provides theoretically unconditional security for the generation of symmetric keys, fundamentally reducing the risk of data leakage. A triple dynamic key update mechanism based on "time factor, behavioral factor, and environmental factor" is proposed. In particular, children's actual behavior and environmental monitoring data are bound to key security. Through precise analysis using the LSTM-GRU algorithm, key updates are no longer a rigid timed task, but can intelligently respond according to the actual security situation, greatly improving the key system's resistance to attacks and survivability. A children's allergen knowledge graph is introduced to replace traditional keyword matching. By semantically mapping keyword groups, it can understand vague and colloquial expressions and accurately identify professional terms, solving the problem of inaccurate descriptions by parents. Combined with a manual review process, it ensures both the efficiency of data processing and the accuracy and reliability of the final results, achieving the best effect of human-machine collaboration.

[0067] In one optional implementation, based on an asymmetric key pair for intra-domain data transmission, the child's biometric monitoring data collected by the data acquisition device in the detection domain is encrypted and transmitted to the parent's terminal in the detection domain, and a dynamic key update mechanism is triggered to obtain an updated asymmetric key pair, including:

[0068] S1011: Generate an asymmetric key pair for data transmission within the detection domain and a symmetric key for data transmission between the detection domain and the transmission domain, and configure a dynamic key update mechanism.

[0069] S1012: Based on the private key in the asymmetric key pair, use the data acquisition device in the detection domain to encrypt the collected child biometric monitoring data, and transmit the encrypted child biometric monitoring data to the parent terminal in the detection domain.

[0070] It is worth noting that the children's biomonitoring data includes children's vital signs monitoring data, children's biological characteristics, children's behavior monitoring data, and environmental monitoring data;

[0071] Children's vital signs monitoring data are measured directly through wearable devices (such as smartwatches and wristbands) or dedicated sensors, reflecting children's basic physiological indicators, including heart rate and heart rate variability, body temperature, blood oxygen saturation, skin conductance, and respiratory rate.

[0072] Children's biometric data is collected through biometric collection devices for identity verification and data binding, including fingerprints, faces, and irises;

[0073] Children's behavior monitoring data is analyzed through the device's motion sensors and algorithms to interpret children's behavioral patterns, including activity level and posture data, sleep pattern data, and location data;

[0074] Environmental monitoring data is obtained through external sensors or public data sources and is used to analyze the risk of allergens in the external environment, including air quality index, pollen and mold concentration, and temperature and humidity data.

[0075] All of the above data can be integrated and realized through a single wearable device;

[0076] S1013: Extract the first time factor parameter of the private key. If the first time factor parameter is greater than the time factor threshold, trigger the dynamic key update mechanism to update the asymmetric key pair and publish the updated asymmetric key pair to the detection domain.

[0077] In one optional implementation, an asymmetric key pair for data transmission within the detection domain and a symmetric key for data transmission between the detection domain and the transmission domain are generated, and a dynamic key update mechanism is configured, including:

[0078] S10111: Call a trusted institution (such as a home gateway or local server) within the detection domain, use an asymmetric key generation algorithm such as RSA to generate an asymmetric key pair for data transmission within the detection domain, and configure a dynamic key update mechanism for the trusted institution.

[0079] S10112: Send the private key of the asymmetric key pair to the data acquisition device in the detection domain, and send the public key of the asymmetric key pair to the parent terminal in the detection domain;

[0080] S10113: The quantum random number generation engine built into the parent terminal in the detection domain generates a random entropy source, combines it with the child's biometric summary to obtain the master key seed, and configures the parent terminal with a behavioral and environmental factor parameter extraction model and a dynamic key update mechanism.

[0081] It is worth noting that the child's biometric digest is obtained by generating a fixed-length biometric digest from the child's biometric data using a secure hash function (such as SHA-3). This process ensures that the key is strongly bound to the device and the user, so that even if the random entropy source is leaked, the biometric digest cannot be derived.

[0082] S10114: Using the QKD modules of the parent terminal and the analysis terminal, a QKD secure channel is built between the detection domain and the transmission domain, and a shared session key is generated between the parent terminal and the analysis terminal based on the QKD secure channel;

[0083] S10115: Based on the session key, the master key seed is encrypted and transmitted to the analysis terminal, and based on the master key seed, the same symmetric key for data transmission between the detection domain and the transmission domain is generated in both the parent terminal and the analysis terminal.

[0084] In one alternative implementation, the dynamic key update mechanism includes a time factor triggering mechanism, a behavior factor triggering mechanism, and an environmental factor triggering mechanism.

[0085] The time factor triggering mechanism is as follows: if the time factor parameter of the asymmetric key pair / symmetric key is greater than the time factor threshold, then the corresponding asymmetric key pair / symmetric key is updated.

[0086] The behavioral factor triggering mechanism is as follows: if the behavioral factor parameters of the children's biomonitoring data extracted by the behavioral and environmental factor parameter extraction model are greater than the behavioral factor threshold, then the corresponding symmetric key is updated.

[0087] The environmental factor triggering mechanism is as follows: if the environmental factor parameters of the children's biomonitoring data extracted by the behavior and environmental factor parameter extraction model are greater than the environmental factor threshold, then the corresponding symmetric key is updated.

[0088] In one optional implementation, based on a symmetric key for inter-domain data transmission, the child's biomonitoring data and the input child allergen description data are encrypted and transmitted to the analysis terminal in the transmission domain, triggering a dynamic key update mechanism to obtain the updated symmetric key, including:

[0089] S1021: Based on the public key in the asymmetric key pair, use the parent terminal in the detection domain to decrypt the encrypted child biometric monitoring data to obtain the decrypted child biometric monitoring data;

[0090] S1022: Using the parent terminal in the detection domain, compress and package the input child allergen description data and the corresponding decrypted child biomonitoring data to obtain a data packet;

[0091] It is worth noting that the data describing children's allergens includes allergen testing reports and text descriptions of children's allergens.

[0092] S1023: Encrypt the data packet using the symmetric key to obtain the encrypted data packet, and transmit the encrypted data packet to the analysis terminal in the transmission domain;

[0093] S1024: Use the parent terminal's behavior and environmental factor parameter extraction model to extract behavioral factor parameters (such as crying frequency and activity intensity) and environmental factor parameters (such as pollen concentration and PM2.5 value) from the decrypted child biomonitoring data.

[0094] S1025: If the behavior factor parameter is greater than the behavior factor threshold, the dynamic key update mechanism is triggered to update the symmetric key and obtain the updated symmetric key; otherwise, proceed to the next step.

[0095] S1026: If the environmental factor parameter is greater than the environmental factor threshold, the dynamic key update mechanism is triggered to update the symmetric key and obtain the updated symmetric key; otherwise, proceed to the next step.

[0096] S1027: Extract the second time factor parameter of the symmetric key. If the second time factor parameter is greater than the time factor threshold, trigger the dynamic key update mechanism to update the symmetric key and obtain the updated symmetric key.

[0097] In one optional implementation, a pediatric allergen knowledge graph is used to extract pediatric allergen information from received pediatric allergen description data and pediatric biomonitoring data, and this information is then reviewed to obtain standardized pediatric allergen information, including:

[0098] S1031: Based on the symmetric key, the encrypted data packet is decrypted using the analysis terminal in the transmission domain, and the decrypted data packet is decompressed to obtain the decrypted child allergen description data and the decrypted child biomonitoring data.

[0099] S1032: Extract keyword groups from the decrypted children's allergen description data and the decrypted children's biomonitoring data, such as ["cough", "rub eyes", "allergy"], and obtain the similarity between each keyword in the keyword group and the children's allergen knowledge graph;

[0100] S1033: Based on similarity, use the knowledge graph of children's allergens to perform semantic mapping on keyword groups to obtain information on children's allergens that includes several entities of children's allergens;

[0101] In this embodiment, the atlas includes entities (such as "dust mite", "cat hair", "pollen"), symptoms (such as "cough", "rubbing eyes", "rash") and the relationships between them;

[0102] The keyword "cough" highly matches the "cough" symptom entity in the atlas;

[0103] The keyword "rubbing eyes" is associated with the symptom entity "allergic conjunctivitis" in the atlas;

[0104] The system uses semantic reasoning to map parents' colloquial descriptions into standard entities in the graph;

[0105] By combining environmental data with high pollen concentrations from the decrypted children's biomonitoring data, preliminary information on children's allergens is generated: for example, {"entity":["dust mite","pollen"],"confidence level":[0.85,0.78]};

[0106] S1034: Manually review children's allergen information, remove erroneous and duplicate children's allergen entities, and obtain standard children's allergen information;

[0107] For example, human reviewers, combining the past medical history and allergy description text of children's allergy reports in the decrypted children's allergy description data, judged that "pollen" was highly likely, but the evidence for "dust mites" was insufficient (because the environmental data did not mention high dust mite concentrations), and obtained the standard children's allergy information {"entity":["pollen"],"confidence level":0.95,"recommendation":"avoid going to areas with high pollen concentrations recently"}.

[0108] In one alternative implementation, the behavioral and environmental factor parameter extraction model is constructed based on the Long Short-Term Memory (LSTM)-Gated Recurrent Unit (GRU) algorithm.

[0109] In one optional implementation, based on the updated symmetric key, standard childhood allergen information is encrypted and transmitted to the parent's terminal in the detection domain, and the parent's terminal verifies the standard childhood allergen information, including:

[0110] S1041: Based on the updated symmetric key, use the analysis terminal in the transmission domain to encrypt the standard child allergen information, obtain the encrypted standard child allergen information, and transmit it to the parent terminal in the detection domain.

[0111] S1042: Based on the updated symmetric key, use the parent terminal in the detection domain to decrypt the encrypted standard child allergen information, obtain the decrypted standard child allergen information, and visualize it;

[0112] S1043: Verify the decrypted standard child allergen information. If there is an error in the standard child allergen information, return to the monitoring data collection step and re-execute the child allergen confirmation process.

[0113] This invention also provides a child allergen identification system 200 based on online data transmission, used to implement a method for identifying child allergens, as described above. Figure 2 The system includes a data acquisition device and a parent terminal set in the detection domain, and an analysis terminal set in the transmission domain. The parent terminal is communicatively connected to the data acquisition device and the analysis terminal, respectively.

[0114] The data acquisition device 201 is used to encrypt and transmit the collected children's biological monitoring data to the parent terminal in the detection domain based on the asymmetric key pair for data transmission within the domain, and trigger a dynamic key update mechanism to obtain the updated asymmetric key pair.

[0115] Parent terminal 202 is used to encrypt and transmit children's biomonitoring data and input children's allergen description data to the analysis terminal in the transmission domain based on the symmetric key of inter-domain data transmission, and trigger a dynamic key update mechanism to obtain the updated symmetric key; and to verify the standard children's allergen information.

[0116] Analysis terminal 203 is used to extract children's allergen information from the received children's allergen description data and children's biomonitoring data using a children's allergen knowledge graph, and to review it to obtain standard children's allergen information; based on the updated symmetric key, the standard children's allergen information is encrypted and transmitted to the parent terminal in the detection domain.

[0117] Based on the same inventive concept, another embodiment of the present invention provides an electronic device, including a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus.

[0118] Memory, used to store computer programs;

[0119] When the processor executes the program stored in the memory, it implements the method for identifying childhood allergens based on online data transmission of the present invention.

[0120] The communication bus mentioned above can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into address bus, data bus, control bus, etc. For ease of representation, only one thick line is used in the diagram, but this does not indicate that there is only one bus or one type of bus. The communication interface is used for communication between the aforementioned terminal and other devices. The memory can include Random Access Memory (RAM) or non-volatile memory, such as at least one disk storage device. Optionally, the memory can also be at least one storage device located remotely from the aforementioned processor.

[0121] The processors mentioned above can be general-purpose processors, including central processing units (CPUs), network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0122] Furthermore, to achieve the above objectives, embodiments of the present invention also propose a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the method for identifying pediatric allergens based on online data transmission, as described in the embodiments of the present invention.

[0123] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, apparatus, or computer program products. Therefore, embodiments of the present invention can take the form of entirely hardware embodiments, entirely software embodiments, or embodiments combining software and hardware aspects. Furthermore, embodiments of the present invention can take the form of computer program products implemented on one or more computer-usable vehicles (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0124] The embodiments of the present invention are described with reference to flowchart illustrations and / or block diagrams of methods, terminal devices (apparatus), and computer program products according to embodiments of the invention. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0125] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing terminal device to operate in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0126] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal equipment, causing a series of operational steps to be performed on the computer or other programmable terminal equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable terminal equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0127] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. "" and / or "" indicate that either one or both can be selected. Furthermore, the terms "includes," "contains," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that includes a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitations, an element defined by the statement "includes a..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes the element.

[0128] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present invention, and these modifications or substitutions should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for identifying childhood allergens based on online data transmission, characterized in that, The method includes: Based on the asymmetric key pair for intra-domain data transmission, the biological monitoring data of children collected by the data acquisition device in the detection domain is encrypted and transmitted to the parent terminal in the detection domain, and a dynamic key update mechanism is triggered to obtain the updated asymmetric key pair. Based on the symmetric key for inter-domain data transmission, the children's biomonitoring data and the input children's allergen description data are encrypted and transmitted to the analysis terminal in the transmission domain, and a dynamic key update mechanism is triggered to obtain the updated symmetric key. Using a knowledge graph of childhood allergens, we extract allergen information from the received description data of childhood allergens and the data from childhood biomonitoring, and then review it to obtain standardized information on childhood allergens. Based on the updated symmetric key, the standard children's allergen information is encrypted and transmitted to the parent terminal in the detection domain, and the parent terminal verifies the standard children's allergen information.

2. The method for identifying childhood allergens based on online data transmission according to claim 1, characterized in that, Based on the asymmetric key pair for intra-domain data transmission, the child's biometric monitoring data collected by the data acquisition device in the detection domain is encrypted and transmitted to the parent's terminal in the detection domain, and a dynamic key update mechanism is triggered to obtain the updated asymmetric key pair, including: Generate asymmetric key pairs for data transmission within the detection domain and symmetric keys for data transmission between the detection domain and the transmission domain, and configure a dynamic key update mechanism; Based on the private key in the asymmetric key pair, the data acquisition device in the detection domain is used to encrypt the collected children's biometric monitoring data, and the encrypted children's biometric monitoring data is transmitted to the parent terminal in the detection domain. Extract the first time factor parameter of the private key. If the first time factor parameter is greater than the time factor threshold, trigger the dynamic key update mechanism to update the asymmetric key pair and publish the updated asymmetric key pair to the detection domain.

3. The method for identifying childhood allergens based on online data transmission according to claim 2, characterized in that, Generate asymmetric key pairs for data transmission within the detection domain and symmetric keys for data transmission between the detection and transmission domains, and configure a dynamic key update mechanism, including: Call upon trusted institutions within the detection domain, use an asymmetric key generation algorithm to generate asymmetric key pairs for data transmission within the detection domain, and configure a dynamic key update mechanism for trusted institutions. Send the private key of the asymmetric key pair to the data acquisition device in the detection domain, and send the public key of the asymmetric key pair to the parent terminal in the detection domain; In the parent terminal within the detection domain, a random entropy source is generated. Combined with the child's biometric summary, a master key seed is obtained. A behavioral and environmental factor parameter extraction model and a dynamic key update mechanism are configured for the parent terminal. Using the QKD modules of the parent terminal and the analysis terminal, a QKD secure channel is built between the detection domain and the transmission domain, and a shared session key is generated on the parent terminal and the analysis terminal based on the QKD secure channel; Based on the session key, the master key seed is encrypted and transmitted to the analysis terminal. Based on the master key seed, the same symmetric key for data transmission between the detection domain and the transmission domain is generated on both the parent terminal and the analysis terminal.

4. The method for identifying childhood allergens based on online data transmission according to claim 3, characterized in that, The dynamic key update mechanism includes a time factor triggering mechanism, a behavior factor triggering mechanism, and an environmental factor triggering mechanism. The time factor triggering mechanism is as follows: if the time factor parameter of the asymmetric key pair / symmetric key is greater than the time factor threshold, then the corresponding asymmetric key pair / symmetric key is updated. The behavioral factor triggering mechanism is as follows: if the behavioral factor parameters of the children's biomonitoring data extracted by the behavioral and environmental factor parameter extraction model are greater than the behavioral factor threshold, then the corresponding symmetric key is updated. The environmental factor triggering mechanism is as follows: if the environmental factor parameters of the children's biomonitoring data extracted by the behavior and environmental factor parameter extraction model are greater than the environmental factor threshold, then the corresponding symmetric key is updated.

5. The method for identifying childhood allergens based on online data transmission according to claim 4, characterized in that, Based on the symmetric key used for inter-domain data transmission, the child biomonitoring data and the input child allergen description data are encrypted and transmitted to the analysis terminal in the transmission domain, triggering a dynamic key update mechanism to obtain the updated symmetric key, including: Based on the public key in the asymmetric key pair, the encrypted child biometric monitoring data is decrypted using the parent terminal in the detection domain, resulting in the decrypted child biometric monitoring data. Using the parent terminal in the detection domain, the input child allergy description data and the corresponding decrypted child biomonitoring data are compressed and packaged to obtain a data packet; The data packet is encrypted using the symmetric key to obtain the encrypted data packet, and then the encrypted data packet is transmitted to the analysis terminal in the transmission domain. Using the parent terminal's behavior and environmental factor parameter extraction model, behavioral and environmental factor parameters of the decrypted children's biomonitoring data are extracted; If the behavior factor parameter is greater than the behavior factor threshold, the dynamic key update mechanism is triggered to update the symmetric key and obtain the updated symmetric key; otherwise, proceed to the next step. If the environmental factor parameter is greater than the environmental factor threshold, the dynamic key update mechanism is triggered to update the symmetric key and obtain the updated symmetric key; otherwise, proceed to the next step. Extract the second time factor parameter of the symmetric key. If the second time factor parameter is greater than the time factor threshold, trigger the dynamic key update mechanism to update the symmetric key and obtain the updated symmetric key.

6. The method for identifying childhood allergens based on online data transmission according to claim 5, characterized in that, Using a knowledge graph of childhood allergens, we extract allergen information from received childhood allergen description data and childhood biomonitoring data, and then review and verify it to obtain standardized childhood allergen information, including: Based on the symmetric key, the encrypted data packet is decrypted using the analysis terminal in the transmission domain, and the decrypted data packet is decompressed to obtain the decrypted children's allergen description data and the decrypted children's biomonitoring data. Extract keyword groups from the decrypted children's allergen description data and the decrypted children's biomonitoring data, and obtain the similarity between each keyword in the keyword group and the children's allergen knowledge graph; Based on similarity, a knowledge graph of children's allergens is used to perform semantic mapping on keyword groups to obtain information on children's allergens that includes several entities of children's allergens; The information on children's allergens is manually reviewed to remove erroneous and duplicate allergen entities, resulting in standardized information on children's allergens.

7. The method for identifying childhood allergens based on online data transmission according to claim 6, characterized in that, The behavioral and environmental factor parameter extraction model is constructed based on the LSTM-GRU algorithm.

8. The method for identifying childhood allergens based on online data transmission according to claim 7, characterized in that, Based on the updated symmetric key, standard childhood allergen information is encrypted and transmitted to the parent's terminal in the detection domain. The parent's terminal then verifies the standard childhood allergen information, including: Based on the updated symmetric key, the standard children's allergen information is encrypted using the analysis terminal in the transmission domain, and the encrypted standard children's allergen information is transmitted to the parent terminal in the detection domain. Based on the updated symmetric key, the encrypted standard children's allergen information is decrypted using the parent terminal in the detection domain, and the decrypted standard children's allergen information is then visualized. The decrypted standard allergen information for children is checked. If there are errors in the standard allergen information for children, the process returns to the monitoring data collection step and the allergen confirmation process for children is repeated.

9. The method for identifying childhood allergens based on online data transmission according to claim 8, characterized in that, The aforementioned children's biological monitoring data includes children's vital signs monitoring data, children's biological characteristics, children's behavior monitoring data, and environmental monitoring data; The data describing children's allergens includes children's allergen testing reports and text describing children's allergens.

10. A system for identifying childhood allergens based on online data transmission, used to implement the method for identifying childhood allergens as described in any one of claims 1-9, characterized in that, The system includes a data acquisition device and a parent terminal located in the detection domain, and an analysis terminal located in the transmission domain. The parent terminal is communicatively connected to both the data acquisition device and the analysis terminal. The data acquisition device is used to encrypt and transmit the collected children's biometric monitoring data to the parent terminal in the detection domain based on the asymmetric key pair for data transmission within the domain, and trigger a dynamic key update mechanism to obtain the updated asymmetric key pair. The parent terminal is used to encrypt and transmit children's biomonitoring data and input children's allergen description data to the analysis terminal in the transmission domain based on the symmetric key of inter-domain data transmission, and triggers a dynamic key update mechanism to obtain the updated symmetric key; it also verifies the standard children's allergen information. The analysis terminal is used to extract and review the received child allergy description data and child biomonitoring data using a child allergy knowledge graph, and obtain standard child allergy information. Based on the updated symmetric key, the standard child allergy information is encrypted and transmitted to the parent terminal in the detection domain.

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