710 results about "Safe storage" patented technology

The invention discloses a hardware cryptographic module based on a domestic commercial cryptographic algorithm and an implementation method of the hardware cryptographic module. The hardware cryptographic module comprises a security chip, a central control unit, a memory unit, a key management module, an encryption and decryption module, a multi-interface support unit, a bus interface unit and an indicator light module, the implementation method comprises the following steps: activating multi-layer encryption when a module is started, verifying the integrity of a master key through an SM3 algorithm, and ensuring the secure storage and management of the key; generating a session key by using an SM2 algorithm, and distributing the session key through a secure channel; performing multi-level encryption and decryption operation on the data, and introducing multiple authentication in key access; according to the invention, through multilayer encryption and multi-factor authentication, the security of key management is significantly enhanced, and through optimizing encryption and decryption processes and hardware configuration, the problem of performance bottleneck in a high-load environment is effectively solved, and efficient and safe operation of the system in a complex application scene is ensured.

The invention discloses a warehouse-in and warehouse-out path planning system and method applied to stored goods, and relates to the technical field of intelligent storage. The method comprises the steps of establishing a three-dimensional space structure of a warehouse, generating a menu to be stored and matching various storage schemes, carrying out importance degree assignment and priority ranking on goods, calculating the residual space and the total weight of the warehouse, judging and optimizing the space and the weight, and planning and optimizing warehouse-in and warehouse-out paths. Through the mathematical planning method, the total cost is minimized, and the space utilization rate and the access efficiency are maximized. And meanwhile, the operation condition in the warehouse is monitored in real time, the in-out path and the in-out path are dynamically adjusted, and congestion and conflicts are avoided. In addition, a high-definition camera and a sensor are further installed, and safety management in the warehouse is ensured. According to the invention, intelligent warehouse-in and warehouse-out path planning of the stored goods is realized, the warehouse management efficiency and the space utilization rate are improved, and safe storage and efficient warehouse-in and warehouse-out of the goods are ensured.

The invention discloses a multi-modal data fusion-based intelligent management system for a thoracic surgery monitoring unit, belongs to the technical field of medical information and artificial intelligence, and aims to solve the limitation of an existing thoracic surgery monitoring system in the aspects of multi-modal data fusion, heterogeneous data semantic alignment and intelligent deep analysis and prediction decision. The system is characterized by comprising a multi-modal data acquisition unit, a heterogeneous data fusion and semantic alignment module, an intelligent analysis and prediction decision module, a man-machine interaction and visual presentation module and a secure storage and management module. By the adoption of the technical scheme, comprehensive multi-modal data fusion, high real-time performance, deep intelligent analysis and prospective prediction can be achieved, intelligent decision support, resource optimization, continuous learning and self-adaptive optimization are provided, and the intelligent level and patient management efficiency of the thoracic surgery intensive care unit are remarkably improved.

The invention relates to the field of machine learning, in particular to a model weight confirmation method and device based on a block chain and a model fingerprint, and the method comprises the steps: carrying out the abstract compression of a model weight of each layer of network of a model, and obtaining a model weight abstract; performing Hash encryption and recording on the model weight abstract generated each time by adopting a Merkle tree structure to obtain a model fingerprint record; and uploading the model fingerprint record to the block chain network so as to verify the model fingerprint record. According to the invention, encryption processing is carried out on the model weight through the Hash encryption algorithm with the secret key, the model fingerprint is constructed in combination with the Merkle tree to generate a unique model fingerprint, the model fingerprint is uploaded to the block chain, the model fingerprint is combined with the block chain technology, a safe storage environment is provided for the model fingerprint, and the storage efficiency of the model fingerprint is improved. And the credibility of model ownership authentication and content tracing is enhanced.

The invention relates to the technical field of boric anhydride production, in particular to a boric anhydride production quality tracing system. The system comprises a data acquisition and preprocessing module, a data storage and management module, a data analysis and insight module, a quality early warning and feedback module, a tracing query and display module, a system authority management module and the like, wherein the data acquisition and preprocessing module is responsible for collecting and standardizing multi-source production data; the data storage and management module guarantees safe storage and efficient retrieval of data; the data analysis and insight module deeply mines data association through a plurality of professional units, evaluates a quality state and predicts quality risks and traceability abnormities; the quality early warning and feedback module timely notifies and provides improvement suggestions based on the risk level; the traceability query and display module is convenient for a user to intuitively query and export quality traceability information; and the system authority management module strictly controls the data access authority. Through cooperative operation of all the modules, the quality stability of boric anhydride production is effectively improved, the quality risk is reduced, and the requirement of boric anhydride production for high-quality refined production quality tracing is met.

The invention discloses a traditional Chinese medicinal material standard base pest and disease damage intelligent monitoring and precise control method and control system, and relates to the technical field of agricultural intelligence. The Internet of Things technology, the block chain and the artificial intelligence algorithm are integrated to improve monitoring accuracy and prevention timeliness, environment and plant states are acquired through the sensor and image data, safe storage of data is ensured by using the block chain, early recognition of diseases and pests is performed by using the convolutional neural network, and the accuracy of disease and pest control is improved. A disease risk index is calculated in combination with environmental parameters, a reinforcement learning algorithm dynamically optimizes a control strategy, control measures are automatically executed through Internet of Things equipment, an execution result is recorded on a block chain, in addition, the strategy is continuously adjusted according to a control effect evaluation result, intelligent and precise disease and pest management is realized, resource consumption is effectively reduced, and the economic benefit is improved. The traditional Chinese medicinal material production safety and efficiency are improved.

The invention discloses a remote intelligent material storage and transportation monitoring method and system based on an intelligent algorithm, and relates to the technical field of intelligent monitoring, and the method comprises the steps: collecting the data of a material storage and transportation place, and building a virtual simulation model on a digital twin platform based on the data; according to the collected real-time data, UKF filtering calculation is utilized to update state estimation, parameters in the digital twin model are dynamically adjusted, and the virtual simulation model is corrected; and taking the state estimation of the future moment calculated by the UKF filtering as the input of the dynamic Bayesian network, evaluating the damage risk of the materials in the storage and transportation process, and triggering an early warning mechanism according to an evaluation result to realize safe storage and transportation of the materials. According to the method, data updating and prediction are carried out by establishing the virtual model, the risk score is calculated, and the early warning threshold is dynamically adjusted, so that the monitoring precision and safety in the storage and transportation process are improved, and safe storage and transportation of materials in a complex environment are ensured.

The invention discloses an intelligent electronic medical record generation management system and method, a terminal and a medium. The generation management system comprises a data acquisition module, a template generation module, an intelligent prompt module, an editing and saving module, a data security protection module and a permission retrieval recording module. The generation management method comprises the following steps: performing identity permission verification; integrating to form multi-modal structured data, and screening and matching to generate a template framework; a diagnosis suggestion sorting table is generated, and data is stored and backed up; transmitting and storing data, and recording operation behavior data. According to the invention, real-time automatic acquisition of basic information and examination results of patients is realized; a medical record template is automatically matched and optimized based on disease characteristics of a patient and an examination result, so that the workload of a doctor is reduced, and the medical record structure conforms to clinical specifications; transmission and storage data are encrypted in a layered mode, current account information operation behavior data are recorded based on a timestamp, and safe storage and real-time management of medical record data are effectively ensured.

The invention discloses an intelligent sorting and scheduling method and system for a multimodal transport scene, and relates to the technical field of warehousing, and the method comprises the steps: collecting the transportation mode identifiers of a plurality of transportation carriers, the physical attribute information of corresponding goods, and the operation state information of a three-dimensional sorting system in real time; analyzing the multimodal transport rigid rule information to generate a dynamic boundary condition of multimodal transport; importing the transportation mode identifier, the physical attribute information, the operation state information and the dynamic boundary condition into a deep reinforcement learning model; outputting a goods shelf distribution strategy for dynamically distributing storage levels according to the goods gravity center parameters and an equipment task sequence for controlling the AGV carrying robot to move; and a sorting execution instruction is automatically generated so as to correspondingly drive the three-dimensional sorting system to carry out goods sorting. According to the method, a'secure storage-time coupling-space cooperation 'technical closed loop is formed, and the comprehensive logistics cost of a multimodal transport full link is remarkably reduced.

The utility model provides a propeller collecting device of a multi-rotor unmanned aerial vehicle. The propeller collecting device comprises a nest body, and at least one pair of centering mechanisms is arranged on the upper surface of the nest body. The nest body is connected with a top door, and the top door is connected to the nest body in an openable and closable mode. A paddle shifting plate is arranged on the inner side surface of the top door. After the unmanned aerial vehicle lands on the parking apron, the unmanned aerial vehicle can be stored in the small nest body, the size of the nest body is reduced, the space utilization rate of the nest body is improved, the paddle stirring plates can prevent the paddles and the top door from forming dead angles, damage to the paddles is avoided, and safe storage of the unmanned aerial vehicle is guaranteed.

The invention provides a full-platform detection system and an identification method, and relates to the field of data detection systems, and the full-platform detection system and the identification method comprise a USB interface module, an analysis and judgment module, a dynamic adjustment module, a driving adaptation module, a data management module, a data interaction module and a security encryption module. By means of the technology, full-process automatic processing from device insertion to final data transmission is achieved, by means of the technology, the storage device can be comprehensively compatible with Windows, Android, iOS, Mac OS and Linux systems, iOS and Mac OS of apple ecology or Windows, Android and Linux of non-apple ecology can easily deal with the conditions, data safe storage and transfer become convenient, and the method is suitable for large-scale popularization and application. The universality and convenience of the storage device are improved, the operation steps of a user are simplified, the interoperability and safety between the device and different operation systems are improved, and the method is suitable for wide application scenes, so that the requirements of the user for backing up and transferring data between different platforms are met.

The invention discloses a data archiving processing method and system based on a shutdown system, and the method comprises the steps: carrying out the classification of data through employing a multi-dimensional classification model based on deep learning according to the data type, access frequency and business importance of the shutdown system, and obtaining a classified data set and a priority label; inputting the classified data set into a compression and encryption joint processing model based on a neural network to obtain a compressed and encrypted data packet; distributing the compressed and encrypted data packet to a distributed storage system, and generating a data storage path index by adopting an index construction algorithm based on a graph database to obtain a distributed storage index table; and according to the distributed storage index table, verifying the data integrity by using a block chain-based archiving verification technology, and generating an archiving verification report. By utilizing the embodiment of the invention, intelligent classification, effective compression and safe storage of the data in the shutdown system can be realized, and the integrity and traceability of the data are finally ensured.

The invention relates to the technical field of electric power engineering, in particular to a power transmission line monitoring method based on meteorological disaster early warning, which comprises the steps of risk assessment model establishment, potential risk area division, risk level division, real-time monitoring and remote monitoring and management. The data acquisition center carries out decoding, coding and primary processing on data and regularly checks the working state of a sensor by supporting multiple transmission protocols, and can access monitoring equipment under different communication protocols, so that on one hand, the redundancy and repetition of the equipment can be avoided, and on the other hand, the monitoring efficiency is improved; on the other hand, the building and laying cost of the monitoring system is reduced, comprehensive receiving, efficient transmission, safe storage and accurate analysis of meteorological data are effectively ensured, and a solid technical guarantee is provided for stable operation and efficient management of the real-time monitoring system of the power transmission line.

A storage container assembly set is disclosed for use with the safe storage and containment of food items in different environments. The storage container assembly set may include a plurality of storage containers that can hold the food items. The plurality of storage containers may have a storage container base and a storage container lid with optional components that may also be used with the assembled storage containers. In the assembled configuration, the storage container assembly set may include a tray to hold the plurality of storage containers. The tray may also first hold a plurality of cooling inserts that can contact the plurality of storage containers to keep the plurality of storage containers cool in higher temperature environments to help maintain the stability and freshness of the food items contained within the plurality of storage containers.

According to the deep and far seawater suspension oil and liquid storage device and the underwater oil storage method thereof, a layered tank body structure is adopted, and a load adjusting cabin, a flexible oil storage cabin and a water storage cabin are arranged from top to bottom. The load adjusting cabin is used for dynamically adjusting the net buoyancy of the device through seawater feeding / discharging to reduce the load of the mooring system; the oil storage cabin adopts a flexible storage bag to adapt to volume change and is linked with the water storage cabin through a movable composite heat preservation partition plate, the partition plate comprises an active heating layer and a phase change material layer, when the oil temperature is too low, the active heating layer directionally heats crude oil, the phase change layer absorbs dissipated heat, latent heat is released during external low-temperature impact to buffer temperature drop, and dynamic temperature control is achieved. The device is moored and fixed through a gravity anchor, and multiple types of sensors are arranged to monitor the posture, stress, oil temperature and leakage state of the tank body in real time. The problems of oil storage tank deformation, high pour point oil heat preservation and mooring stability under the deepwater high-pressure environment are solved, and the device has the advantages of being low in construction cost, high in environmental adaptability and efficient in operation and maintenance and is suitable for safe storage and transportation of deep and far sea oil and gas resources.

The invention discloses a safe storage method for flight data of an unmanned aerial vehicle. The safe storage method comprises the following steps of 1, performing data collection and primary processing; 2, selecting storage equipment, wherein the storage equipment comprises an internal storage, an external storage and a cloud storage; 3, data storage and backup are carried out, the data after primary processing are stored in a selected storage device, and backup is carried out according to requirements; 4, implementing data security measures, and performing data security protection; and 5, performing data management and maintenance, including data classification, data updating and classification and storage equipment maintenance. According to the invention, the integrity, accuracy and safety of the data can be ensured, the management efficiency of the data is improved, the storage cost is reduced, and powerful support is provided for flight data management and application of the unmanned aerial vehicle.

The invention discloses a geological disaster early warning information rapid publishing system and a priority-based accurate pushing method, and relates to the technical field of geological disaster monitoring and early warning. According to the method, the deep learning model, the block chain technology and the multi-channel dynamic pushing strategy are integrated, so that high-precision prediction, safe storage and accurate distribution of geological disasters are realized, the convolutional neural network and the long-short-term memory network are utilized to process multi-source data, and the prediction accuracy is improved; the block chain is adopted to ensure that the information is not tampered and traceable; the information pushing priority is dynamically adjusted according to risk assessment and network conditions, rapid and accurate information distribution is achieved through multiple channels such as short messages, mobile applications and satellite communication, the response speed and reliability of the early warning system are improved, and powerful technical support is provided for effective disaster prevention and reduction.

The invention provides an aero-engine test whole-process business management method and system, and belongs to the technical field of whole-process business management, and the method comprises the steps: extracting information in a test item information document and a tester information document, and determining structured data; on the basis of the structured data, forming an initial test plan, performing test personnel allocation optimization on the initial test plan, and determining a target test plan; generating a target test card on the basis of the target test plan, and continuously updating the target test card by adopting an editable block chain according to the data in the test process until the test is finished; and after the test is finished, the operation authority of the target test card is removed, and non-tampered and decentralized aero-engine test whole-process business data is formed. The information utilization efficiency of each link is effectively improved, the distribution rationality of testers is improved, and the safe storage of test data is ensured.

A system for AI-driven predictive healthcare for pandemic prevention, which includes the following: a data collection module configured to capture health-related data from IoT-based wearable devices, electronic health records (EHRs), environmental sensors, and social media in real time; an AI-driven analysis module that is operationally linked to the data collection module and configured to use deep learning and natural language processing (NLP) techniques to process and analyze collected data in order to detect potential disease outbreaks; a predictive modeling module configured to use hybrid epidemiological and AI models to predict disease transmission patterns based on mobility data, population density, and historical infection trends; a warning and response module that automatically generates and disseminates notifications to health authorities, medical professionals, and vulnerable individuals based on predicted outbreak risks; a blockchain-based data security module configured to ensure the secure storage, access control, and verification of health-related data through decentralized ledger technology and smart contracts; and a decision support module that is operationally linked to the predictive modeling module and provides AI-driven recommendations for healthcare resource allocation, vaccination strategies, quarantine measures and public health measures.

The invention discloses a security storage chip energy consumption optimization method based on multi-objective optimization, and relates to the technical field of energy consumption optimization, and the method comprises the steps: inputting the threshold voltage distribution characteristics of a security storage chip of a candidate parameter set into an aging model, fitting the rule of the threshold voltage distribution characteristics along with the time under an accelerated aging condition, and obtaining an aging model; aging model parameters are obtained; calculating the data retention failure rate of the security storage chip in the target life cycle by using the aging model parameters, and obtaining an extended feasible region of the instant erasure security constraint and the long-term retention security constraint in combination with a data retention judgment standard; and establishing a multi-objective optimization function with reduction of operation energy consumption and maintenance energy consumption as optimization objectives in the extended feasible region, and obtaining a candidate solution set through a multi-objective optimization algorithm. According to the method, data retention prediction in the life cycle is realized, and energy consumption optimization and long-term reliability constraint are combined.

The invention relates to the field of data encryption, and discloses a secure storage method and system for an electronic medical record, and the method comprises the steps: an uploading end obtains an original data stream of the electronic medical record; the uploading end carries out segmentation processing on the original data stream to obtain segmented data streams, and carries out data encryption to obtain segmented encrypted data streams; the storage end extracts a data packet in the encrypted data stream, and detects the integrity of the data packet to obtain an integrity verification data packet; the storage end carries out secondary encryption on the integrity verification data packet to generate a storage encryption data block, and the storage encryption data block is stored to the node position; the storage end divides access permissions for the storage units at the node positions to obtain permission allocation storage units; the storage end generates an access control strategy according to the log information, and node positions are redistributed to the storage encrypted data block. According to the method, through a systematic multi-level protection strategy, safe storage of the electronic medical record in the whole life cycle is achieved.

The invention discloses a secure storage and transmission method and system for an audit log, and belongs to the technical field of data encryption. The method comprises the following steps: encrypting the audit log generated in an operation process by adopting an encryption algorithm; signing the encrypted audit log to generate a digital signature, and attaching the digital signature to the encrypted audit log; adding a timestamp to the signed encrypted audit log by adopting a timestamp technology; transmitting and storing the obtained encrypted audit log with the timestamp by adopting a secure transmission channel; the auditing log is verified by adopting a public key of an encryption algorithm, and the authenticity and integrity of the auditing log are confirmed by comparing the digital signature with the timestamp. According to the method, through multiple technical means of encryption, signature, timestamp and rule matching and the like, safe storage transmission and effective analysis of the DCS audit logs are achieved, and important guarantee is provided for safe operation and maintenance and decision making of the DCS.

The invention discloses a decentralized identity authentication method using a DID technology, and the method comprises the following steps: S1, generating a public key and a private key by a user, and generating an identity identifier by using the public key; s2, the user combines the identity data with the identifier, encrypts the identity data and the identifier, and stores the encrypted identity data and identifier on the block chain; s3, the third-party authentication mechanism issues a verifiable certificate based on the identifier; s4, the user manages the verifiable certificate, signs the identity verification request by using a private key, and sends the signed identity verification request to the verifier; s5, the verifier verifies the validity of the signature through the public key on the block chain; s6, recording verification time, a signature and a result, and storing the verification time, the signature and the result on the block chain; s7, the user can recover the lost private key or identity identifier through multiple signatures or other mechanisms; and S8, providing a user-friendly interface, supporting cross-platform migration of identity data, following open standards and protocols, and establishing a transparent governance mechanism. According to the method, the block chain and the advanced encryption technology are combined, and safe storage and privacy protection of identity data are realized.

The invention relates to the technical field of document generation processing, in particular to a medical document automatic generation and archiving system and method.The system comprises an information extraction and structuring module, a document generation and verification module, an abnormal content recognition module and a label generation and archiving module. According to the method, the electronic medical records are analyzed word by word and key information is structured, so that accurate extraction and rapid processing of the medical data are realized, the document generation efficiency is greatly enhanced, the verification process of document continuity and logicality is optimized, the document quality is improved, and through comparative analysis and accurate matching of medicine doses, the accuracy of the medical data is improved. Potential medical errors are effectively recognized, treatment safety is improved, document archiving is systematically performed through an automatic tag generation and data matching technology, document retrieval speed and accuracy are remarkably improved, safe storage of information is ensured, high efficiency of information processing and accuracy of archiving are ensured, and the method is suitable for popularization and application. And the medical document processing cost is obviously reduced.

The safe storage cabin comprises a main monitoring system, a heat dissipation fire fighting system and a cabin body, a plurality of energy storage electric cabinets are stored in the cabin body, and a main energy storage converter, a main transformer and an electric cabinet management system which are connected with the energy storage electric cabinets are fixedly arranged in the cabin body; the cabin body is provided with a cabin door, the cabin door is provided with a display panel and a cabin body management server, and the cabin body management server is electrically connected with a valve of the fire sprinkler, the main monitoring system, the main energy storage converter, the main transformer, the electric cabinet management system, a control mechanism of a roller shutter type fireproof blanket in the heat dissipation fire extinguishing system and the display panel; the main monitoring system transmits detected signals to the cabin management server, the cabin management server controls the operation states of the roller shutter type fireproof blanket, the fire sprinkler, the main energy storage converter, the main transformer and the electric cabinet management system according to the received signals, operation data are displayed through the display panel, large-scale management of the energy storage electric cabinet is achieved, and the energy storage electric cabinet management efficiency is improved. The energy storage cost is reduced, and the space utilization rate is improved.

A thermal treatment reactor for feedstocks and method of use. The thermal treatment reactor comprises an infeed assembly, a furnace, a rotary drum, a discharge assembly, and a liberator assembly. The rotary drum may comprise forwarding flights, mixing flights, oscillating flights, and raking pins. The feedstock to be thermally treated enters the reactor through the infeed assembly. The feedstock is fed into the reactor in a controlled manner by means of a screw conveyor system. The thermally-treated product exits the reactor via the discharge assembly, which separates the thermally treated product into a VOC liberator, from whence the product enters into a cooling system to reduce the temperature for safe storage and handling.

The invention relates to the technical field of data transmission, and particularly discloses a data transmission security protection system adapted to a communication base station, which comprises a sending end, a communication base station, a receiving end and a block chain verification unit, the sending end is in communication connection with the receiving end through a network transmission interface of the communication base station, and the sending end and the receiving end are both connected with the block chain verification unit. Through cooperative operation of a sending end, a communication base station, a receiving end and a block chain verification unit, in terms of data integrity verification, a dual mechanism combining a message authentication code technology and a digital signature is adopted, the message authentication code technology can quickly check whether data is tampered or not, the digital signature ensures that a data source is real and non-repudiation, and common tampering attacks are effectively resisted; and meanwhile, a block chain distributed account book technology is introduced, safe storage and reliable verification are provided for important data transmission records by utilizing decentralization and tamper-resistant characteristics of the block chain distributed account book technology, and even if data are tampered, the tampered data can be timely perceived through an original hash value, so that the data integrity protection capability is greatly improved.

The invention belongs to the technical field of carbon dioxide capture low-energy-consumption safe storage methods, and discloses a marine diesel engine tail gas carbon dioxide capture low-energy-consumption safe storage method which comprises a carbon dioxide capture system, a low-energy-consumption system and a safe storage system. The carbon dioxide trapping system is mainly used for separating carbon dioxide from tail gas of a marine diesel engine for subsequent sealing or utilization, the carbon dioxide trapping system is divided into a pretreatment unit and a carbon trapping unit, and the carbon dioxide can be conveniently transported and sealed through liquefaction storage; the volume of the liquefied carbon dioxide is greatly reduced, long-distance transportation and storage are facilitated, the transportation cost is reduced, the liquefied carbon dioxide can also be used as a resource, for example, the liquefied carbon dioxide can be used in the fields of industrial raw materials, refrigerants, food preservation and the like, sustainable utilization of the resource is achieved, and the energy storage mode has the advantages of low cost, high efficiency, long service life and the like. And the energy utilization efficiency can be improved.

The invention belongs to the technical field of data security and privacy protection, and particularly relates to a face data full-life-cycle management system which comprises a full-life-cycle management system. A data acquisition module, a data storage module, a data processing module, a data distribution module, a data destruction module and a supervision and analysis module are arranged in the full life cycle management system; the invention further particularly relates to a human face data full-life-cycle management method. The method comprises the following specific steps of personal authorization, human face collection and verification, safe storage and distribution, authorization access control and full-life-cycle supervision and analysis. According to the invention, through comprehensive management of personal authorization, face collection, identity and quality verification, state secret storage and distribution, revocation and destruction, traceability and other links of face data, full-life-cycle supervision of the face data of colleges and universities from generation to destruction is realized, and the safety of the face data and personal information is guaranteed.

The invention discloses a block chain-based big data secure storage sharing method and system. The method comprises the following steps: firstly, preprocessing original big data, including data cleaning, desensitization and blocking operation; then the preprocessed data is encrypted, and the safety of the data in the storage and transmission process is ensured; generating a data fingerprint from the encrypted data, and storing the data fingerprint on the block chain to realize non-tampering and traceability of the data; the encrypted data is stored in a distributed storage system, so that the reliability and the expandability of data storage are improved; sharing and access control of data are realized through an intelligent contract, and only an authorized user can obtain a data key, decrypt and use the data; and finally, realizing full-life-cycle traceability of the data by using the block chain. The method has the advantages of high security, high traceability, high reliability and the like, and is suitable for security storage and sharing scenes of big data.