14results about How to "Realize immutability" patented technology

The invention discloses a block chain-based digital right encryption management method and system, and relates to the technical field of digital right security management. According to the method, a unique identifier is generated for digital asset information through a Hash algorithm, data privacy is ensured by using asymmetric encryption, and asset uniqueness identification and information encryption protection are realized; according to the method, encrypted asset information is subjected to uplink evidence storage through an intelligent contract, node verification is carried out by adopting a consensus algorithm, tampering resistance, authenticity and transparency of the asset information are analyzed, authenticity of digital assets and safety and reliability of storage are guaranteed, legality of ownership transfer is verified through a consensus mechanism when the digital assets are transacted or transferred, and security and reliability of the digital assets are guaranteed. It is ensured that the transaction meets the preset compliance standard, the asset state on the block chain is updated in real time, and the security and compliance of the transaction are improved; the asset ownership history and the transaction path are tracked and recorded through the traceability mechanism of the block chain, and the traceability and transparency of the asset circulation process are realized.

The invention provides a distributed energy regulation and control method and system based on 5G network and block chain collaboration, and the method comprises the steps: building an energy block chain-based IES power transaction architecture which comprises a block chain node; docking the regulation and control object with a block chain node in an IES power transaction architecture, wherein the block chain node is used for storing the smart contract subjected to security verification; constructing a distributed energy optimization scheduling model considering the 5G network and a mathematical model of a cooperative scheduling mechanism; and the intelligent contract generates a scheduling instruction according to the distributed energy optimization scheduling model and the mathematical model of the cooperative scheduling mechanism, and the scheduling instruction value is issued to the power generation and utilization unit after passing constraint condition check.

The invention relates to the technical field of life cycle traceability, in particular to a full life cycle traceability system and method based on intelligent washing. The method comprises the following steps: acquiring washing clothes and user information, generating an RFID identification code, binding the RFID identification code with the user information, creating a user-clothes binding relationship, performing digital mirror image copying on the binding relationship, generating a clothes data file in combination with a database chain technology, and predicting the service life of the clothes by analyzing clothes state data and predicting the service life of the clothes. And making a personalized washing plan. And executing the washing plan and monitoring the washing result, and finally updating the clothes data file according to the washing effect to generate a washing traceability file. According to the invention, safer and more accurate full-life-cycle traceability operation is realized.

The method comprises the following steps: obtaining related information of each batch of prefabricated dishes, adding a timestamp to the related information, performing hash processing by using a hash function, generating an information abstract, encrypting the production raw material information abstract by using a first RSA private key, generating an information digital signature, and storing the information digital signature into a database; finally, storing in a relational database; when traceability query is needed, query operation is executed from the relational database, the whole-process information and the information digital signatures of the current prefabricated dishes are obtained, the information digital signatures are decrypted through the corresponding RSA public keys respectively, the decryption result is compared with the result obtained when the information is subjected to Hash processing through the Hash function, and if the decryption result is completely consistent with the result obtained when the information is subjected to Hash processing, traceability query is executed. And if not, the information is proved to have integrity and is not tampered. The traceability of each link is clear, clear chain traceability can be carried out, and the traceability data cannot be tampered through Hash processing, an RSA public key and private key mechanism and an additional timestamp.

The invention discloses a prefabricated dish traceability method and device and a storage medium, belongs to the technical field of food traceability, and is used for solving the technical problems that traceability information may be maliciously modified and the traceability information is difficult to query. The method comprises the following steps: obtaining enterprise information applying for authentication of a prefabricated dish industry, adding the enterprise information to a preset block chain, obtaining production information of a prefabricated dish product of an enterprise, adding the production information to the block chain, obtaining detection information of the prefabricated dish product, adding the detection information to the block chain, and distributing an authentication code for the prefabricated dish product, and obtaining enterprise information, production information and detection information, writing the enterprise information, the production information and the detection information into an authentication code, obtaining supply chain information of the product, adding the supply chain information into the block chain, and writing the supply chain information into the authentication code of the product. According to the scheme, the query difficulty of the traceability information can be reduced under the condition that the traceability information cannot be modified.

This invention discloses a multi-tenant end-to-end data security isolation and control system and method, belonging to the field of vehicle network data security. It aims to solve the problems of easy data crosstalk, discontinuous isolation, unreliable trust benchmarks, and difficulty in compliance traceability in multi-tenant scenarios. The system generates a tenant root identifier (TID) for vehicle enterprise tenants, which, together with the device sub-identifier (DID), forms a tenant identifier chain. This chain is synchronized with a trusted authentication center to establish a vehicle-cloud hardware-level trust root. When the vehicle terminal accesses the system, it completes two-way identity authentication and allocates a dedicated message queue telemetry transmission MQTT topic partition and access permissions according to the TID. The terminal collects time-series vehicle control data and generates encrypted data frames with intrinsic identifiers and checksums for uploading. The access gateway performs dual isolation verification before transparent transmission. Data is forwarded to an independent logical storage partition for isolated storage according to the TID. This invention achieves strong hardware-level isolation, real-time verification, and full traceability throughout the entire end-to-cloud chain, effectively preventing cross-tenant data leakage.

The invention discloses an intelligent scheduling system and method for the passage of unmanned logistics vehicles in a park, and particularly relates to the technical field of intelligent scheduling. All scheduling data are stored through a decentralized block chain network, each unmanned logistics vehicle is connected with a block chain, whether information circulation is necessary is judged according to the use scene of the unmanned logistics vehicle, and if yes, the unmanned logistics vehicle passes through the block chain; activating an information interaction mechanism, screening out vehicles needing to perform information interaction with the target unmanned logistics vehicle through interaction analysis, and obtaining a corresponding database combination from the block chain; based on the database combination, using a pre-trained neural network model to extract restriction features, and generating a restriction condition set; using a genetic algorithm to optimize the scheduling path of the target vehicle based on a limiting condition, and updating the scheduling path to the block chain network; whether the target vehicle and the surrounding vehicles have the necessity of information circulation can be accurately judged, an information interaction mechanism is started when necessary, and effective coordination work among the vehicles can be ensured.

The invention relates to a block chain-based secondary market metering device management method. The method comprises the following steps of constructing a manufacturing node, a construction and operation and maintenance node, a system design node, an asset management node and an operation node of a secondary market metering device; manufacturing information, construction, operation and maintenance information, system design information, asset information and operation information of the secondary market metering devices are obtained, encrypted and then stored in the corresponding nodes in a block form, and the blocks of the secondary market metering devices in all the nodes are associated; and when any one of the manufacturing information, the construction and operation information, the system design information, the asset information and the operation information of the secondary market metering device is modified, the modified information is encrypted and then is added to a corresponding node in a block form, and the block is associated to blocks in other nodes of the secondary market metering device.

The invention discloses a block chain evidence storage method and device for electronic paper marking, and relates to the technical field of information technology and education, and the method comprises the steps: receiving a test paper scanning image of a test paper and an answer sheet scanning image of an answer sheet, extracting key feature points in the test paper scanning image and the answer sheet scanning image, and storing the key feature points in the test paper scanning image and the answer sheet scanning image; establishing a mapping relationship between the test paper and the answer sheet; encrypting the original data of the test paper and the answer sheet based on a Hash encryption algorithm to generate a unique identifier, and recording the scoring behavior of the answer sheet to obtain scoring process data; and detecting the scoring process data, when it is detected that the scoring process data is an abnormal paper marking behavior, triggering a block chain evidence storage mechanism, recording context information of the abnormal paper marking behavior, and generating an evidence storage record which cannot be tampered. By means of the mode, comprehensive behavior evidence storage in the paper marking process can be achieved, effective supervision and data non-tampering performance are achieved, and paper marking transparency and the intelligent level are improved.

The invention provides a building safety monitoring system integrating natural language interaction and self-iterative optimization. Comprising a natural language interaction module, an authority management module, a task sequence scheduling module, an API data input module, a data preprocessing module, a picture and video real-time monitoring module, a data analysis and image display module, an energy consumption optimization module, a block chain data storage module, a GIS and BIM model interaction module, a real-time monitoring and early warning module and an emergency response module. And a model iterative optimization module. According to the method, the field vacancy in the aspects of data acquisition timeliness and convenience, multi-source data comprehensive processing, emergency real-time response, energy efficiency management and the like is solved.

The application discloses a product carbon mark management system and method based on a cloud platform, and relates to the field of environmental information management and green supply chain.The method comprises the following steps: collecting carbon emission data of each stage from the whole life cycle of a product, generating standardized emission data through nonlinear normalization; generating stage carbon synergy factors based on node collaborative analysis and sensitivity evaluation, and constructing a cross-enterprise carbon synergy matrix; calculating stage carbon impact factors and damping coefficients to generate comprehensive stage emission factors; calculating cumulative sensitivity accordingly to form a whole life cycle carbon footprint; identifying abnormal stages and dynamically correcting in combination with historical data to generate carbon mark stability; and finally generating a carbon mark and storing it through a blockchain to realize a cloud platform management closed loop.Through efficient collection and standardization of whole life cycle carbon emission data, multi-layer collaborative analysis and dynamic correction, and credible storage and management closed loop of the carbon mark, the accuracy, reliability and traceability of the product carbon mark are realized.

The invention discloses a method and equipment for realizing a front-end full stack through CellJS, a program product and a storage medium, and relates to the technical field of Web application development. The method comprises the following steps: defining a plurality of service interfaces, and generating a metadata file according to each service interface; when the back-end module is started, the back-end module loads the metadata file to obtain a data set containing mapping information of the service interface and the service method; constructing an authentication and authorization module according to the data set; generating a front-end client class corresponding to each service interface; when a user triggers a login operation on the front-end interface, the front-end module sends the login operation to the corresponding rear-end module, and generates an access token according to the authentication and authorization module and the front-end client class; when the front-end module initiates business service calling, the rear-end module performs permission verification according to the access token to obtain a verification result; and performing service processing according to a verification result, and returning a service processing result to the front-end module. By implementing the technical scheme provided by the invention, the development complexity of the full-stack application can be reduced.

The invention discloses an application software loading execution control system based on a trusted computing technology, and relates to the technical field of computers, the system comprises a trusted computing technology module, a control center module, an early warning module and a processor; the trusted computing technology module comprises a trusted execution environment module, a trusted software technology module and a trusted hardware technology module, and the trusted computing technology module is used for jointly forming a trusted computing infrastructure and providing a solid guarantee for safe and stable operation of the application software loading execution system; and the trusted execution environment module is used for constructing a secure monitoring system and comprises an execution environment module, a design security architecture, a development trusted monitoring module and an information system deployment architecture module. The safety of the computing platform is protected through cooperative work of hardware and software, and the safety of the whole application software execution control system is improved.

The invention relates to the technical field of traffic database collection, and discloses a traffic database collection system and method based on the business field, and the system comprises a data collection planning module which is responsible for the overall planning and design of urban traffic data collection, and comprises the layout of data collection point locations, the setting of data collection frequency, and the formulation of a data structure standard; an AI auxiliary planning technology is introduced, and data acquisition point positions and frequency are intelligently adjusted according to multi-dimensional data of traffic flow, road conditions and weather conditions. Through an AI auxiliary planning technology, data acquisition point location and frequency can be intelligently adjusted, data are ensured to be comprehensive and accurate, resource waste is avoided, a machine learning algorithm is introduced to carry out accuracy verification, errors and abnormal values in the data are automatically detected and corrected, and data quality is remarkably improved.