A personal event recording management system

Abstract

The invention discloses a personal mental inheritance and life trajectory management platform system, and aims to record and visually present personal life events and emotional changes, realize safe storage and conditional opening of private data, and transmit information according to a preset rule for a reason or a specific time point. The system comprises at least three modules such as a cloud data security management framework and an event chain triggering engine, utilizes an AI artificial intelligence algorithm to analyze, understand and respond to the emotional state of human beings, and aims to help a user to relieve negative emotions such as anxiety and anxiety. Data flow and release among the modules are uniformly coordinated by an event chain trigger engine, and are protected by a cloud data security management framework. According to the scheme, through modular design and conditional data management, the integrity, safety and controllability of storage of the mental heritage are effectively improved.

Description

(19) State Intellectual Property Office (12) Invention Patent Application (10) Application Publication Number (43) Application Publication Date (21) Application Number 202610212316.X (22) Application Date 2026.02.13 (71) Applicant: Shenling Management & Heritage Limited Address: Room 4A, Block 1, Lok Hang Garden, No. 1, Fo Tan Road, Sha Tin, New Territories, Hong Kong, China (72) Inventor: Huang Wenzhen (74) Patent Agency: Shenzhen Zanzhi Intellectual Property Agency (General Partnership) 44889 Patent Attorney: Fu Yinglong (51) Int.Cl. G06F 16 / 11 (2019.01) G06F 21 / 60 (2013.01) G06F 21 / 62 (2013.01) G06F 21 / 64 (2013.01) G06Q 10 / 40 (2026.01) (54) Invention Title: A Personal Event Record Management System (57) Abstract: This invention discloses a personal spiritual inheritance and life trajectory management platform system, aiming to record and visualize personal life events and emotional changes, achieve secure preservation and conditional access to private data, and transmit information according to preset rules upon death or at specific times. The system includes at least three modules, such as a cloud data security management framework and an event chain triggering engine. It utilizes AI artificial intelligence algorithms to analyze, understand, and respond to human emotional states, aiming to help users alleviate negative emotions such as sadness and anxiety. Data flow and release between modules are uniformly coordinated by the event chain triggering engine and protected by the cloud data security management framework. Through modular design and conditional data management, this solution effectively improves the integrity, security, and controllability of spiritual heritage preservation. Claims (2 pages), Description (5 pages), Drawings (2 pages), CN 122220305 A, 2026.06.16, CN 1 22 22 03 05 A. 1. A personal event record management system, characterized in that it comprises: an emotion star chart visualization module, used to record and visualize user life experience events and emotional changes; a secret base module, used to encrypt private data using AES-256 and write it to a blockchain or permanent storage and bind unlocking conditions; and a succession account module, used to set a successor before death and gradually release data according to authorization after verification of the death event; wherein, the data flow and release between the modules are uniformly coordinated by an event chain triggering engine and protected by a cloud data security management framework. 2. The system of claim 1, characterized in that: the system further comprises a cloud data security management framework, used to perform module isolation encryption, behavior perception defense, and abnormal access detection on all module data. 3. The system of claim 1 or 2, characterized in that: the system further comprises an event chain triggering engine, used to trigger data release across modules according to default time or event conditions.4. The system as described in claim 3, characterized in that: the system further includes a personal exploration record module, used to organize the user's personality, beliefs, and the intrinsic value of dreams and generate a personality vector. 5. The system as described in claim 1 or 4, characterized in that: the system further includes a "Let's Talk" module, used to establish delayed information and automatically transmit it to a designated recipient when conditions are met. 6. The system as described in claim 5, characterized in that: the system further includes a "Leave a Legacy" module, used to record asset allocation intentions and display them only after authorization by the inheritance account module. 7. The system as described in claim 1 or 6, characterized in that: the system further includes a "Final Chapter" module, used to store the user's funeral, medical, and posthumous arrangements. 8. The system as described in claim 7, characterized in that: the system further includes a "Life Summary Table" module, used to generate a downloadable structured life summary file. 9. The system as described in claim 1 or 8, characterized in that: the system further includes an AI emotion support module, used to provide personalized emotional support based on multimodal emotion recognition and integrate the support process into the personal event record. 10. The system as described in claim 9, characterized in that: the emotion star chart visualization module adopts a two-layer structure of line chart and scatter plot, and reflects emotion values ​​through color gradation; and / or the AI ​​emotion supports multimodal input such as NLP emotion annotation text analysis, voice audio emotion analysis, and facial expression recognition, and uses a personalized adjustment model to dynamically generate responses suitable for the user's personality and emotional state; and / or the secret base module uses a Polygon blockchain smart contract to bind Arweave data hash and unlocking conditions, and supports MetaMask multi-factor authentication; and / or the personal exploration record module integrates Enneagram, MBTI, HEXCAO, and Big-Five assessment APIs to automatically generate user personality vectors for reference by subsequent AI emotion support models; and / or the "Let's Talk" module performs one-time identity verification on the recipient before sending information; and / or the cloud data security management framework includes an abnormal behavior detection algorithm, which automatically suspends the account and triggers multi-factor verification when unauthorized access is detected; And / or the aforementioned "Last Love in the World" module provides organ donation, will arrangement, and mobile beneficiary settings, presented in read-only mode; and / or the aforementioned "Inheritance Account" module completes the binding of inheritors through an identity verification invitation link and sets an expiration date; and / or the aforementioned "Life Summary Table" module automatically links data from each module through a guided questionnaire and generates a downloadable file; Claims 1 / 2 pages 2 CN 122220305 A and / or the aforementioned "Final Chapter" module supports exporting funeral options and medical instructions as readable files; and / or the data flow and triggering conditions between each of the aforementioned modules are set based on event chains and support cross-module condition linkage control. Claims 2 / 2 pages 3 CN122220305 A A Personal Event Record Management System Technical Field

[0001] This solution relates to an event record management system, and more particularly to a personal event record management system and its implementation method. Background Technology

[0002] With the popularization of digital content and cloud services, users have accumulated a large number of emotional and life records. However, existing platforms mostly focus on social sharing or file backup, lacking a system that integrates life events, emotional trajectories, asset wishes and posthumous arrangements; it also lacks a highly secure encrypted storage and conditional inheritance mechanism, making it difficult to transmit spiritual values ​​completely and orderly.

[0003] The technical problem to be solved by this solution is to provide a personal event record management system. This system can record and visualize personal life events and emotional changes, securely store private data and open it when conditions are met, transmit information and open data to designated objects according to preset rules when the user dies or at a specific time, and establish an account inheritance mechanism to ensure that spiritual heritage can be accessed by legally authorized persons. It makes full use of artificial intelligence algorithms to analyze, understand and respond to human emotional states, aiming to help users alleviate negative emotions such as sadness and anxiety, provide users with personalized emotional support and incorporate their emotional journey into their spiritual heritage, and establish a complete, modular and continuously iterative personal event record management system.

[0004] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0005] A personal event record management system, characterized in that it includes:

[0006] an emotion star chart visualization module, used to record and visualize user life experience events and emotional changes;

[0007] a secret base module, used to encrypt private data using AES-256 and write it into the blockchain or permanent storage and bind unlocking conditions;

[0008] a succession account module, used to set a successor before death and gradually open the data according to authorization after verifying the death event.

[0009] Wherein, the data flow and release between the modules are uniformly coordinated by the event chain triggering engine and protected by the cloud data security management framework.

[0010] Preferably, the system further includes a cloud data security management framework, used to perform module isolation encryption, behavior perception defense and abnormal access detection on all module data.

[0011] Preferably, the system further includes an event chain triggering engine, used to trigger data release across modules according to default time or event conditions.

[0012] Preferably, the system further includes a personal exploration record module, used to organize the user's personality, beliefs, and intrinsic value of dreams and generate a personality vector.

[0013] Preferably, the system further includes a "Let's Talk" module, used to establish delayed information and automatically transmit it to a designated recipient when conditions are met.

[0014] Preferably, the system further includes a "Leaving Love" module, used to record asset allocation intentions and only display them after authorization by the inheritance account module.

[0015] Preferably, the system further includes a final chapter module for storing the user's funeral, medical, and post-mortem arrangements;

[0016] Preferably, the system further includes a life summary table module for generating a downloadable structured life summary instruction manual (1 / 5 pages, 4 CN 122220305 A file);

[0017] Preferably, the system further includes an AI emotion support module for providing personalized emotional support based on multimodal emotion recognition and integrating the support process into spiritual legacy.

[0018] Preferably, the emotion star chart visualization module adopts a two-layer structure of line chart and scatter plot, and reflects emotion values ​​through color levels;

[0019] and / or the AI ​​emotion support module supports multimodal inputs such as (NLP emotion annotation) text analysis, voice audio emotion analysis, and facial expression recognition, and uses a personalized adjustment model (Personalized Transformer) to dynamically generate responses suitable for the user's personality and emotional state.

[0020] and / or the Secret Base module uses a Polygon blockchain smart contract to bind Arweave data hashes and unlocking conditions, and supports MetaMask multi-factor authentication;

[0021] and / or the Personal Exploration Record module integrates Enneagram and MBTI assessment APIs to automatically generate user personality vectors for reference by subsequent AI emotion support models;

[0022] and / or the Talk to You module performs a one-time identity verification of the recipient before sending information;

[0023] and / or the cloud data security management framework includes an abnormal behavior detection algorithm, which automatically suspends the account and triggers multi-factor verification when unauthorized access is detected;

[0024] and / or the Legacy Module provides organ donation, will arrangements, and mobile phone beneficiary settings, presented in read-only mode;

[0025] and / or the Inheritance Account module completes the binding of inheritors through an identity verification invitation link and sets an expiration date;

[0026] and / or the Life Summary Table module automatically links data from each module through a guided questionnaire and generates a downloadable file;

[0027] and / or the final chapter module supports exporting funeral options and medical instructions as readable files;

[0028] and / or the data flow and triggering conditions between the modules are set based on event chains, and support cross-module conditional linkage control.

[0029] The effective effects of this solution are:

[0030] 1. Through modular design and conditional data management, the integrity, security, and controllability of the preservation of spiritual heritage are improved.

[0031] 2. AI algorithms are used to analyze, understand, and respond to human emotional states, aiming to help users alleviate negative emotions such as sadness and anxiety.

[0032] 3. System modules based on artificial intelligence technology provide emotional support, especially for healing sadness.

[0033] Figure 1 is the overall framework diagram of the platform system of this solution;

[0034] Figure 2 is a schematic diagram of the module functions and data flow of the emotion star chart visualization system;

[0035] Figure 3 is the interface of the emotion star chart;

[0036] Figure 4 is the user interaction process with emotion data. Detailed implementation

[0037] The solution will be further described below with reference to the accompanying drawings and embodiments. The implementation method of this solution includes, but is not limited to, the following embodiments on pages 2 / 5 of the specification, CN 122220305 A.

[0038] As shown in Figures 1-4, this is the overall architecture diagram of this solution. The personal event record management system includes:

[0039] (1) A cloud data security management framework, used to perform module isolation encryption, behavior perception defense and abnormal access detection on all module data; the framework includes an abnormal behavior detection algorithm, which automatically suspends the account and triggers multi-factor verification when unauthorized access is detected, so as to ensure platform security in real time and prevent data leakage or damage.

[0040] (2) Event chain triggering engine, used to trigger data release across modules according to preset time or event conditions;

[0041] (3) Mood Star Sparks visualization module, used to record and visualize user life experience events and emotional changes. In order to more accurately analyze the specific details of individual emotional changes, this system also introduces the concept of "emotion points (star points)". "Emotion points (star points)" represent significant emotional fluctuations that occur in an individual at a specific moment or within a specific time period. In the process of displaying the "lifeline", the system will use advanced time positioning and marking technology to accurately mark the specific date or period of occurrence corresponding to each "emotion point (star point)". Through this display method, users can clearly understand every key node of their own emotional changes, providing strong data support for in-depth analysis of their own emotional patterns, exploration of emotional change patterns and formulation of corresponding emotional management strategies. As shown in Figure 3, the points in the Mood Star Sparks display can flash dynamically. When clicked, the situation event recorded by the point can be viewed. This module adopts a two-layer structure of line chart and scatter plot, and uses color-coded emotional values ​​(for example, specific endpoint values ​​can be set from -10 to +10, specifically -10, -9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10) to enhance the recognition of emotional trends, intuitively present the emotional journey of life, and promote users' self-understanding and record completeness.

[0042] (4) Personal exploration record module, used to organize users' personality, beliefs, dreams and other intrinsic values ​​and generate personality vectors. This module introduces assessment APIs such as Enneagram and MBTI to generate personality vectors, and at the same time builds tables to save acquired beliefs, dreams and interest tags. It can form an individual intrinsic value database that can be searched and inherited, supporting personalized AI emotional support and offspring.In retrospect, the problem of scattered and difficult-to-structure management of personality and belief data was addressed. The personal exploration record module integrates the Enneagram, MBTI (which divides personality into four dimensions, each with two options, resulting in 16 different personality types, mainly used to understand the test subject's handling style, characteristics, career adaptability, potential, etc.), HEXACO (a six-dimensional personality model including honesty-humility, emotionality, extraversion, agreeableness, conscientiousness, and openness), and BIG-Five (which comprehensively analyzes the candidate's personality characteristics from five dimensions: extraversion, openness, neuroticism, conscientiousness, and agreeableness) assessment APIs to automatically generate user personality vectors for reference by subsequent AI emotion support models.

[0043] (5) Secret Base Module (Confidential Storage and Conditional Unlocking) is used to encrypt private data with AES-256 and write it to the blockchain or permanent storage and bind unlocking conditions. The client uses AES-256 encryption, and the data is written to Arweave permanent storage. The Polygon smart contract binds the hash and unlocking conditions (date, event, multi-signature, etc.). The heir uses MetaMask to sign and extract the key for decryption. This ensures that the data is absolutely confidential before it is triggered, and verifiable and tamper-proof after it is triggered, meeting the requirements of regulations and wills. This solves the problem of the lack of reliable long-term encryption and condition disclosure mechanisms for sensitive data. This module uses the Polygon blockchain smart contract to bind the Arweave data hash and unlocking conditions, and supports MetaMask multi-factor authentication to ensure that important data is securely encrypted and released according to the will conditions. The encrypted data storage adopts the Web3 architecture and combines EIP-1193Provider standard verification and multi-factor authentication to enhance the security of data unlocking.

[0044] (6) The "Talk to You" module (conditional information deferred) is used to establish delayed information and automatically transmit it to the designated recipient when the conditions are met. Information is encrypted and stored in the backend. Condition settings are written into the event chain. Upon expiration, the server verifies the conditions and triggers the Delivery Engine to send the message. The encrypted link requires the recipient's identity verification to unlock, enabling emotional continuation before and after death, ensuring privacy and timeliness, and ensuring that delayed information is reliably delivered after the specified date or event. This module performs a one-time identity verification on the recipient before sending the information to ensure the privacy of the information and to ensure accurate delivery of information before or after death.

[0045] Users edit information through mobile terminals, select recipients (which can be imported from the address book or entered manually), and set trigger conditions (such as birthday, specified date, after death, etc.). The system stores the information in an encrypted manner and binds it for verification.

[0046] The system starts a periodic verification process according to the mode selected by the user (such as the death declaration form being submitted by a designated person).Once the conditions are met and the review is passed, the system will trigger a notification mechanism. The recipient must complete identity verification (such as entering an invitation code, MFA verification, facial recognition, etc.) after logging in before the information can be unlocked. The information will be opened once within a limited time and an access record will be generated. The information content can include text, voice, pictures or audio-visual files, and supports protection options such as downloading and prohibiting screenshots. This implementation method can be extended and integrated into the inheritance account module, so that its information can be unlocked in batches according to the conditions after the user's death, and strengthen the flexibility and security of the arrangement of spiritual content and life's legacy.

[0047] (7) Inheritance account module (license management), used to set the successor before death and gradually open the data according to authorization after verifying the death event.

[0048] It can be divided into two parts. The first part is the verification module. The successor is set before death, and the system sends an identity verification invitation link to bind. After death verification, manual review + mobile terminal receipt verification completes the authorization. The data of the specified module is gradually opened in stages, which can reduce the risk of data loss and illegal access, and ensure that spiritual legacy is passed on according to the will, thereby solving the problem that the account data cannot be legally and securely opened after the user's death. The succession account module completes the successor binding through identity verification and sets an expiration period (e.g., 7 days) to reduce the risk of link leakage, and provides flexible authorization and multi-level successor management. The second part is the decentralized module, which includes: (1) a data encryption and upload module, used to encrypt spiritual content and store it on decentralized nodes; (2) an NFT control module, used to issue non-fungible tokens corresponding to the encrypted data and bind unlocking conditions; (3) a condition setting module, used to set condition rules including timestamps, user death events or third-party verification triggers; (4) an unlock verification module, used for the recipient to verify the conditions and connect to the blockchain wallet for decryption and access; and (5) a behavior recording and self-destruction module, used to record unlocking records and can set key self-destruction and one-time opening of content.

[0049] After logging into the mobile terminal, the user establishes a secret base data packet, uploads private content files, performs AES encryption through the front-end system, and stores them in the Arweave or IPFS node. Simultaneously, a description file and an encrypted key are generated. The system calls the Polygon smart contract through MetaMask to cast a set of NFTs (non-fungible tokens) with data hashes and control conditions. The user defines the address of the sharing object, the unlock timestamp, or the third-party verification trigger logic. The sharing object will be notified through a dedicated URL and will connect to the wallet to verify the NFT status after the conditions are met. The successful person can access the key and complete the decryption and viewing on the front end. Data viewing is limited to a certain period and forwarding is prohibited. The unlock record is recorded and sent back to the chain for future reference.

[0050] (8) The "Leaving Love in the World" module (asset distribution intention record) is used to record asset distribution intentions and is only displayed after authorization by the inheritance account module. In order to solve the problem that spiritual and financial wishes often cause disputes due to the lack of structural records, this module providesProvides asset allocation form, organ donation and beneficiary settings; data is encrypted and linked to the inheritance account module, and is displayed in read-only mode. The heir can see the deceased's wishes at a glance, reduce family disputes and facilitate legal follow-up. The "Leave Love in the World" module provides organ donation, will arrangements and mobile beneficiary settings, and is presented in read-only mode to prevent the heir from modifying them without authorization.

[0051] (9) The final chapter module is used to save the user's funeral, medical and post-mortem arrangements. It saves funeral forms, hospice care, medical orders, etc. in structured options + free text, and supports PDF export for legal institutions to archive. It can ensure that the individual's wishes are respected after death and reduce the burden on relatives and friends, and solve the problem that funeral and medical wishes often lack centralized records. The final chapter module supports exporting funeral options and medical instructions as PDF, and attaching digital signatures to ensure the integrity of the documents.

[0052] (10) The life summary table module is used to generate downloadable structured life summary documents. If the user lacks tools to summarize life value and important documents, a downloadable summary document can be generated through the guided questionnaire of this module, and the data of each module can be linked back. A structured review is formed to facilitate family members to quickly understand the user's life goals. The life summary module automatically links the data of each module and generates a downloadable file through the questionnaire on page 4 / 5 of the instruction manual (CN 122220305 A).

[0053] (11) AI Emotional Support Module (Grief Healing), which is used to provide personalized emotional support based on multimodal emotion recognition and integrate the support process into spiritual heritage. This module supports multimodal inputs such as (NLP emotion annotation) text analysis, voice audio emotion analysis, and facial expression recognition, and adopts a personalized adjustment model (Personalized Transformer) to dynamically generate responses suitable for the user's personality and emotional state, such as positive encouragement, emotional companionship suggestions, and psychological soothing resource recommendations. Facial expression recognition specifically extracts emotional features from photos or videos actively uploaded by users to supplement emotional information sources other than text and voice, improve recognition accuracy and personalized support quality. Personalized emotional support content may include text responses, image generation, audio suggestions, or other forms of emotional soothing. While typical emotion-based robots lack multimodal recognition and continuous companionship, this module integrates NLP acoustics (analyzing user voice input to identify emotional features such as pitch, speech rate, and volume; fundamental frequency and energy changes in speech can help determine emotional intensity, providing richer information for AI emotion support) with facial expression models to extract emotional features. Based on Personalized Transformer, it incorporates personalized information such as user ID and historical behavior, enabling the model to generate responses that better match individual user characteristics and needs. It can capture differences between users, provide personalized AI emotion support services, dynamically generate support suggestions, and encrypt the support process.By adding users to their spiritual legacy archives, we can provide real-time, empathetic, precise, and personalized psychological relief, and preserve the emotional journey for future generations. The AI ​​emotion support module integrates NLP (analyzing user text input to identify emotional states such as happiness / positive, negative, neutral, angry, sad, and anxious; capturing emotional features in text through emotion dictionary matching, grammatical rule analysis, and deep learning models to provide foundational data for AI emotion support), acoustic and facial expression recognition models (using computer vision technology to extract facial features such as the shape and position changes of the eyes, nose, and mouth, combined with machine learning or deep learning algorithms for emotion classification), and dynamically adjusts the response tone (when the user expresses sadness, the system can respond with a gentler, more comforting tone; when the user expresses positive emotions, the system can use a more encouraging and praising tone) and push frequency based on Personalized Transformer. That is, when the user is in a low mood, the system can increase the push frequency of AI emotion support content to provide more emotional support; when the user's emotions are stable, the system can reduce the push frequency to avoid excessive interference with the user, analyze emotional state in real time, and proactively push support suggestions to assist in the construction of spiritual legacy. This module uses AI algorithms to analyze, understand, and respond to human emotional states, aiming to help users alleviate negative emotions such as sadness and anxiety. When users write logs, upload voice messages, or interact with messages on the platform every day, the data enters the emotion analysis module. Through NLP text emotion classifier, acoustic emotion recognition engine, and facial expression analysis API, emotional features (such as multi-dimensional labels such as happy, sad, anxious, and angry) are extracted. The system feeds the accumulated emotional data into the personalized modeler and adjusts the support strategy according to the user's past behavior, tone tendency, and preference settings. When abnormal emotional fluctuations are detected (such as being depressed for several consecutive days), the system automatically pushes personalized support suggestions, such as: encouraging diary entries, recommending mindfulness exercises, providing warm text responses, and playing reminders and accompanying voice messages.

[0054] The support process will be synchronously organized into an emotional process chart and encrypted and linked to the Secret Base module and the Spiritual Heritage Data Report. Users can choose whether to include the inheritance content for relatives and friends to review in the future.

[0055] The above modules are based on modules (3), (5), and (7). Other modules can be arbitrarily loaded or deleted on this basis to form a module chain according to requirements. The data flow and release between the modules are uniformly coordinated by the event chain triggering engine and protected by the cloud data security management framework. The data flow and triggering conditions between modules are based on the event chain setting and support cross-module condition linkage control.

[0056] This solution is not limited to the specific implementation methods described above. Any changes made by those skilled in the art based on the above concept without creative labor are within the protection scope of this solution. Specification 5 / 5Page 8 CN 122220305 A Figure 1 Figure 2 Description Drawings 1 / 2 Page 9 CN 122220305 A Figure 3 Figure 4 Description Drawings 2 / 2 Page 10 CN 122220305 A Abstract This disclosure provides an individual spiritual legacy and life trajectory management platform system, aimed at recording and visually presenting personal life events and emotional fluctuations, securely preserving and conditionally disclosing private data, and transmitting information after death or at a specific time point according to preset rules. The system comprises at least three modules, including a cloud data security management framework and an event-chain trigger engine, and utilizes artificial intelligence (AI) algorithms to analyze, understand, and respond to human emotional states, thereby helping users alleviate negative emotions such as grief and anxiety. Data flow and release among the modules are unified and coordinated by the event-chain trigger engine and are protected by the cloud data security management framework. Through modular design and conditionaldata management, the present disclosure effectively enhances the integrity, security, and controllability of spiritual legacy preservation.

Claims

1. A personal event record management system, characterized in that, include: The Emotional Star Chart visualization module is used to record and visualize users' life experiences and emotional changes. The Secret Base module is used to encrypt private data using AES-256 and write it to the blockchain or permanent storage, and bind unlocking conditions. The succession account module is used to designate a successor during the lifetime and gradually release information according to authorization after the death event is verified. The data flow and release between the modules are uniformly coordinated by the event chain triggering engine and protected by the cloud data security management framework.

2. The system as described in claim 1, characterized in that: The system also includes a cloud-based data security management framework for module isolation and encryption, behavior-aware defense, and abnormal access detection of all module data.

3. The system as described in claim 1 or 2, characterized in that: The system also includes an event chain triggering engine, which is used to trigger data release across modules based on default time or event conditions.

4. The system as described in claim 3, characterized in that: The system also includes a personal exploration record module, which is used to organize the user's personality, beliefs, dreams, intrinsic values, and generate personality vectors.

5. The system as described in claim 1 or 4, characterized in that: The system also includes a "Talk to You" module, which is used to establish delay information and automatically transmit it to a designated recipient when the conditions are met.

6. The system as described in claim 5, characterized in that: The system also includes a "Leaving Love in the World" module, which records the intention to distribute assets and is only displayed after authorization by the inheritance account module.

7. The system as described in claim 1 or 6, characterized in that: The system also includes a final chapter module for storing the user's funeral, medical, and post-mortem arrangements.

8. The system as described in claim 7, characterized in that: The system also includes a life summary module for generating downloadable structured life summary files.

9. The system as described in claim 1 or 8, characterized in that: The system also includes an AI emotion support module, which provides personalized emotional support based on multimodal emotion recognition and integrates the support process into personal event records.

10. The system as described in claim 9, characterized in that: The aforementioned emotion star chart visualization module adopts a two-layer structure of line chart and scatter plot, and reflects emotion values ​​through color levels; And / or the AI ​​emotion supports NLP emotion annotation text analysis, voice audio emotion analysis, facial expression recognition multimodal input, and adopts a personalized adjustment model to dynamically generate responses suitable for the user's personality and emotional state; And / or the aforementioned secret base module uses a Polygon blockchain smart contract to bind Arweave data hashes and unlocking conditions, and supports MetaMask multi-factor authentication; And / or the aforementioned personal exploration record module integrates the Enneagram, MBTI, HEXCAO, and Big-Five assessment APIs to automatically generate user personality vectors for reference by subsequent AI emotion support models; And / or the aforementioned "Talk to You" module performs a one-time identity verification of the recipient before sending the information; And / or the cloud data security management framework includes an abnormal behavior detection algorithm that automatically suspends the account and triggers multi-factor authentication when unauthorized access is detected; And / or the aforementioned "Leave a Love" module provides organ donation, will arrangements, and mobile beneficiary settings, and is presented in read-only mode; And / or the aforementioned succession account module completes the successor binding through an identity verification invitation link and sets an expiration period; And / or the aforementioned life summary form module automatically links data from each module through a guided questionnaire and generates a downloadable file; And / or the aforementioned final chapter module supports exporting funeral options and medical instructions as a readable file; And / or the data flow and triggering conditions between the modules are set based on the event chain, and cross-module condition linkage control is supported.

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