88 results about "Chain code" patented technology

The invention relates to the technical field of machine vision, in particular to a precision part size automatic detection method and system based on machine vision, precision part images are collected through a high-precision industrial camera, part positioning is carried out, sub-pixel-level topological feature mapping is carried out on interested area images, and precision part size automatic detection is carried out. Comprising the steps of gray histogram equalization, gray morphological processing, edge detection and edge chain code tracking, construction of an edge point topological feature space, execution of sub-pixel subdivision, obtaining of an edge line through contour analysis of a feature distance and a feature angle, and double-constraint geometric reconstruction based on the edge line. The characteristic distance and the characteristic angle are used for rotation matrix conversion and geometric dimension calculation, a relation model of the geometric dimension and the actual dimension of the part is established, precise part dimension measurement is achieved through dynamic error analysis and compensation, the measurement precision is remarkably improved, the risk caused by unreliability of a single characteristic is effectively reduced, and the measurement accuracy is improved. And the measurement stability is improved.

The embodiment of the invention discloses an automatic function chain generation method and device based on a graph database and a medium, and relates to the technical field of graph databases, and the method comprises the steps: receiving natural language query information triggered by a user, carrying out intention analysis on the natural language query information through a preset language model, determining a structured query condition, and sending the structured query condition to the user; the structured query condition comprises a query intention category, a query entity parameter and logic step disassembly information; according to the structured query condition, mixed retrieval is carried out in a pre-constructed graph database, a candidate API calling path set is determined, the graph database comprises an API knowledge graph and node semantic vector information, and the candidate API calling path set comprises at least one candidate API calling path; and performing multi-dimensional scoring on candidate API call paths in the candidate API call path set, and dynamically generating an executable function chain to determine an API call chain code of the target programming language corresponding to the executable function chain.

The invention discloses an industrial data security management and control method and system based on a block chain, and the system comprises an edge device access module which is used for requesting to access on-chain data, carrying out the encryption transmission of original data, and cooperatively collecting the original data under the chain; the distributed key management module is used for realizing public key information negotiation of edge devices, realizing original data encryption, storing public key information of the edge devices to a block chain network and binding edge device identifiers; the block chain network module is used for verifying the identity of the edge equipment and storing data; the dynamic access control module is used for acquiring a preset role permission strategy library, judging the legality of the access request in real time, intercepting illegal operation and recording an audit log to a block chain network; and the data integrity verification module is used for generating a hash value for the original data, uploading the hash value to the block chain network, and verifying the consistency through a chain code when the data is read. According to the invention, the security and reliability of industrial data circulation can be improved.

The invention discloses an apartment lease management system and method, and relates to the technical field of block chains, and the method comprises the steps: generating a facial feature vector through a ResNet-50 model, encrypting identity information and the facial feature vector through a ChaCha20-Poly1305 algorithm to generate encrypted identity data, and generating a credit point identifier and an initial credit point through an SHA-256 algorithm; processing the credit point identifier based on a joint learning framework to generate an anonymous credit query token, and protecting historical lease behavior data by using a differential privacy method; comparing the facial feature vector with the real-time facial feature vector through cosine similarity, and executing identity confirmation; and generating an electronic contract draft by using a Hyperledger Fabric network and a chain code. According to the method, a biological characteristic full-link protection system is constructed by fusing a ResNet-50 model and a ChaCha20-Poly1305 dynamic encryption mechanism.

A system and a method are disclosed relating to a transport block processing chain for a transmitter. A code block determination circuit may be configured to determine a size of a code block that maps across multiple slots of a wireless physical shared channel according to a Transport Block over Multiple Slots (TBoMS) configuration, and a rate matching circuit may be configured to rate match bits of the code block to a number of bits available in a transport block that spans the predetermined number of slots of the wireless physical shared channel. Additionally, an interleaver may be configured to interleave a continuous output of the rate matching circuit on a slot basis so that a code block that crosses a slot boundary between a first slot and a second slot is interleaved within the first slot and the second slot.

Techniques are described herein for a Web 3.0-Enabled Cyber-Resilient Data Exchange Platform Leveraging Permission Blockchain, Edge Computing, and Federated Learning Technology, which is configured to enhance the privacy, confidentiality, cyber-resilience, and operational efficiency of multi-system, multi-client, multi-directional data exchanges among client users, devices, servers, cloud environments, and a decentralized web architecture or other applications within one network or a system of networks by deploying edge computing, federated learning models, and permissioned blockchain technology that uses threshold cryptographic primitives and the key primitive of permissioned blockchains called Byzantine fault-tolerant (BFT) protocol, combined with fine-grained access control, pub / sub capabilities and a novel private chaincode functionality during industry-agnostic operations. Techniques, methods, processes, and systems described herein enhance operational efficiency by increasing operational processing speed and reducing operational processing time for industry-agnostic operations within the described industry-agnostic platform.

The invention relates to the field of industrial metering, and discloses a data-driven belt weigher intelligent calibration method and system, and the method comprises the steps: when a calibration command is triggered, collecting real-time data to form a feature vector input model, calculating and predicting a calibration coefficient and zero offset, writing the calibration coefficient and zero offset into a metering instrument to complete calibration, carrying out the importance analysis and screening of feature variables, and obtaining a calibration result. Optimizing model parameters; and performing rationality verification and adaptive adjustment on the prediction parameters, generating a calibration report, and adding data to a historical library. According to the method, a data-driven artificial intelligence model which is fully trained and can deeply reproduce the internal rule of the physical calibration process is used for replacing the traditional physical chain code calibration operation which is time-consuming and labor-consuming and possibly causes danger. Through historical data learning, the mapping relation between the operation states of the belt weigher under various working conditions and environments and the calibration parameters of the belt weigher is established, so that non-contact, high-efficiency and intelligent automatic calibration is realized.

The invention discloses a concurrent scene-oriented extensible block chain client optimization method, which comprises the following steps of: decoupling a client into an interface service layer, a message service layer and a data service layer based on an asynchronous message bus, and realizing node dynamic registration and routing table maintenance through a heartbeat protocol; the interface service layer calculates a dynamic weight according to the state information of the data service nodes to construct a dynamic weight table so as to distribute an external request to the surviving data service nodes; a distributed cache layer is introduced, a cache layer cluster is preferentially queried in a read operation path, chain code query is triggered when the cache layer is not hit, and a result is written into a cache; and a write operation path adopts two-stage cache failure guarantee to eliminate dirty reading. Industrial environment parameters of all the data service nodes are collected in real time and scored, and part or all of the flow is intelligently migrated according to the score. According to the method, the client throughput, the response efficiency and the industrial environment adaptability are remarkably improved, and large-scale deployment of intelligent manufacturing high-concurrency scenes is supported.

The invention provides a distributed archive storage method based on an alliance chain, which can be applied to the technical field of alliance chains. The method comprises the steps that in response to a request of uploading an archive file by a first user, the type of the archive file is determined, and the first user is configured to have the authority to upload, query and authorize the archive file; determining a chain code corresponding to the archive file based on the type of the archive file; the archive file is uploaded to the distributed file storage system through the chain code corresponding to the archive file, the chain code is created by an archive file administrator, and the archive file administrator is configured to manage the authority of the chain code. The invention further provides a distributed file storage device and equipment based on the alliance chain, a storage medium and a program product.

The invention discloses a power transmission line icing thickness detection method and system based on deep learning, and relates to the technical field of image processing and power transmission line online detection, and the method comprises the steps: collecting an icing image of a power transmission line through a standardized dual-light optical device, and carrying out the image preprocessing, and generating an original data set; and performing image segmentation on the original data set, training the deep neural network model by using the lightweight YOLACT network, and performing evaluation. Edge detection is carried out through a multi-direction Sobel operator template, an Otsu method is adopted for binarization processing and nonlinear operator filtering denoising, a boundary chain code array is extracted based on a boundary tracking algorithm of a topological structure, and the MASK of an original power transmission line is determined. And acquiring an image of the power transmission line by using a dual-light camera, performing camera calibration, performing registration and fusion on the calibrated image, and outputting a calculation result of the icing thickness of the power transmission line by using the trained neural network. According to the invention, the detection precision and efficiency are improved, and the thickness estimation deviation caused by image errors is reduced.

The invention discloses a supply chain full-process traceability tracking method based on a block chain, and relates to the technical field of block chain and supply chain traceability, and the method comprises the specific steps: collecting supply chain node identity qualification basic information, and carrying out the structural processing; generating a unique initial dynamic chain code by using an encryption algorithm, and storing the unique initial dynamic chain code in a main chain after binding the unique initial dynamic chain code with qualification information hash; integrating the collected data into traceability data and checking node identities and chain codes; after the verification is passed, the traceability data is bound with a chain code for the second time, and a timestamp is added for chaining; updating the chain code according to the service state, adding an identifier to the old chain code and permanently storing the identifier; according to the invention, a rigorous node identity authentication system is constructed, so that the credibility of a traceability subject is guaranteed, and identity and qualification data can be traced and verified in the whole process; multiple terminals collect data cooperatively, completeness and timeliness are ensured through multiple associations, chain code dynamic update adapts to service changes, and data association continuity is ensured; the whole-process mechanism effectively solves the problem of traditional traceability data splitting.

Embodiments of the present application are suitable for the field of blockchain technology, and provide a data processing method and device, computer equipment and medium. The method is applied to a blockchain node, and includes: receiving a transaction request from a user, the transaction request including a computing event; if the computing event is a privacy computing event, sending the privacy computing event to an off-chain computing node to obtain a privacy computing result of the privacy computing event; in response to the privacy computing result, verifying the privacy computing result by using a proxy chaincode to obtain a verification result, the proxy chaincode being a contract deployed in the blockchain; based on the verification result and the privacy computing result, returning a privacy computing response to the off-chain computing node, so that the off-chain computing node returns event end information of the transaction request to the user according to the received privacy computing response. Through the above method, the privacy of privacy computing in the blockchain can be guaranteed, and the execution efficiency of privacy computing can be improved.

The present invention relates to the technical field of road engineering construction, specifically to a blockchain traceability system and method for the construction quality of asphalt pavement, including an intelligent contract layer, a consensus layer, a chain code layer, and a traceability module, an intelligent optimization module, a detection module, a blockchain traceability database, and a server in the application layer. The intelligent contract layer encrypts the data of the entire construction process and automatically executes the functions of intelligent contracts and transaction processing. The consensus layer adopts an improved Practical Byzantine Fault Tolerance (PBFT) algorithm to ensure data consensus. The chain code layer implements the business logic function and uploads the processed data to the access layer. The traceability module, intelligent optimization module, and detection module in the application layer are respectively used to store the working parameters of the equipment, recommend the best modifier addition scheme, and extract the asphalt softening point data. The blockchain traceability database stores the blockchain data, and the server provides system services, realizing the trustworthy storage and anti-tampering of the data in the whole process of asphalt pavement construction.

This invention discloses a multidimensional coupled chain code encoding method based on generalized integrated interleaving codes. It selects d-dimensional chain codes from s-dimensional chain codes for generalized integrated interleaving encoding, resulting in the l-th... i The code length of the wiry chain code is [value], and the information bit length is [value]. The remaining (s-d) wiry chain code is encoded, and the l′ [value] is [value]. i' Wirachain codes use linear block codes with a code length of and an information bit length of as the basic code, and the sequence c... (t) Initialize to an all-zero sequence; set the information sequence u Divide into sL groups. For the l-th dimensional zip code, divide into groups of length k. t,l -m t,l sequence u (t,l) With a length of m t,l sequence w (t,l) The data is fed into a multiplexer to obtain a length of k. t,l sequence a (t,l) The sequence is fed into a basic code encoder for encoding to obtain a codeword sequence. Simultaneously, the sequence is fed into a generalized integrated interleaved code encoder for encoding to obtain another codeword sequence. c (t,0) , c (t,1) ,…, c (t,s‑1) The encoded output sequence c at time t is obtained by feeding it into the multiplexer. (t) This invention has the advantages of simple coding, ease of implementation, and good performance.

A system described herein may identify a chaincode record recorded to a blockchain, and may output chaincode discovery information to a chaincode discovery system. A client device may receive the chaincode discovery information from the chaincode discovery system, and may output a request to invoke the chaincode. The system may obtain verification, from the chaincode discovery system, that the client device is authorized to invoke the chaincode, and may instruct a node that maintains the blockchain to execute the chaincode. The system may receive output values resulting from executing the chaincode and may output, to the client device, the output values resulting from executing the chaincode.

This invention relates to the field of activated carbon raw material screening, providing a method and system for activated carbon raw material screening based on multimodal image feature fusion. The method includes: acquiring original images of edge contours and surface textures, constructing a set of binary edge contour images and a set of grayscale surface texture images; extracting edge chain codes to generate edge curvature sequences, extracting effective cutting feature vectors based on coating damage critical thresholds, and mapping them to generate a physical wear risk index; mapping the texture region of interest to a three-dimensional grayscale topological surface, calculating fractal dimension feature values ​​and the proportion of hygroscopic texture, and coupling them to generate an environmental hygroscopic preemption index; calculating the compatibility score of color-changing beads using an environment-medium dual-constraint weighted algorithm, and performing multi-path diversion decisions based on optimization thresholds, elimination thresholds, and physicochemical test data to generate particle grading control instructions. This invention achieves intelligent screening and resource scheduling of activated carbon particle microstructure through synchronous time-division optical field imaging and multimodal feature coupling.

An external chaincode (CC) executor controller includes a block tracking circuit to register for events and a first data model type data access layer (DAL) to receive a data point and convert the data point to a native first data model type to be stored in a first data model type database. Furthermore, a second data model type DAL receives the data point and converts the data point to a native second data model type to be stored in a second data model type database. Moreover, a block committer circuit receives a new block notification and determines that the new block notification includes a smart contract data model, and in response thereto dispatch the smart contract to the first data model type DAL or to the second data model type DAL to support delegated execution of the smart contract data model efficiently and reliably.

The invention relates to a strong non-linkable password-free authentication method supporting global revocation, and belongs to the technical field of information security. According to the method, a deterministic derived key mechanism is adopted, a public key, a chain code and a variable are utilized to form a revocation key, the public key, the chain code and the variable can uniquely identify all certificate public keys generated by the token, after the revocation key is released, any server can check whether a stored certificate needs to be revoked according to the revocation key, and if yes, the revocation key is released. An administrator can immediately revoke permissions of all the sub-keys through the main key, namely global revocation, step-by-step operation is not needed, and risk diffusion after key leakage is avoided. And through dual encryption and parameter transformation, strict identity authentication and session authentication, and use of a specific randomization technology and an encryption function, strong non-linkability is achieved. According to the password-free authentication method, the sub-keys are not required to be disabled one by one or the master key is not required to be replaced; and the password-free authentication method has the characteristics of supporting global revocation, meeting high non-linkability and the like.

The application is suitable for the technical field of image processing, and provides a battery glue line skeleton extraction method based on an improved ZS thinning algorithm, which comprises the following steps: preprocessing a collected battery glue line image to obtain a binary image; performing improved ZS thinning on the binary image, dividing the image into odd and even subdomains for batch processing, and introducing a constraint condition to iteratively delete redundant pixels to obtain a preliminary skeleton; using a T-shaped 4-neighborhood deletion template to remove T-shaped redundant pixels and realize complete single-pixelization; through 8-chain code tracking, identifying and removing burr branches caused by glue overflow and uneven glue coating, while protecting nodes to obtain a final glue line skeleton. The application solves the problems of skeleton redundancy, over-thinning and burr in existing thinning algorithms, realizes high-precision, single-pixel and burr-free glue line skeleton extraction, and can meet the online detection requirements of battery assembly lines, and has good industrial applicability.

A method and system for smart contract vulnerability detection on Hyperledger Fabric are disclosed. The method includes uploading the chaincode to be tested, auxiliary chaincode, and test parameters; analyzing and processing the chaincode to be tested to generate an Abstract Syntax Tree (AST); generating a data flow graph and a key data flow graph based on the AST; using the chaincode to be tested and the generated key data flow graph as input for vulnerability detection, obtaining graph learning vulnerability detection results; installing the chaincode to be tested and the auxiliary chaincode on two channels of the blockchain network respectively; acquiring the blockchain network's operating status; generating test cases based on the test parameters; executing the test cases to verify the existence of vulnerabilities, obtaining fuzzing vulnerability detection results; and integrating and displaying the graph learning vulnerability detection results and fuzzing vulnerability detection results. This invention can achieve dynamic and static combined vulnerability detection of chaincode, enhancing the accuracy and efficiency of vulnerability detection.

The invention discloses an image region extraction and morphological processing method and system based on color features, and the method comprises the steps: determining the pixel coordinates of a target foreign body through the preset percentage coordinates of the target foreign body, and extracting representative color features in a positioning region of the target foreign body; taking the representative color features as a reference, searching for all pixel regions with similar colors in a total image range for extraction, performing judgment and selection on the extracted colors, and extracting a target foreign matter total image; morphological processing is carried out on the target foreign matter total image to obtain a binary image, and the processing process sequentially comprises Laplace edge detection, brightness normalization, binarization, opening operation and closing operation; and carrying out boundary tracking on the binary image after morphological processing so as to extract contour chain code data of the target foreign body, and reconstructing and outputting a smooth target contour.

The application relates to the technical field of data compression, and discloses a multimedia data compression method and device for narrowband transmission. The method comprises the following steps: performing double-threshold contour extraction on an input image to obtain main contour data and secondary contour data; performing mixed-precision chain code coding on the main contour data and the secondary contour data to obtain compressed contour chain codes; performing parameterization decomposition and superframe coding on an input speech signal to obtain compressed speech parameters; allocating a transmission bandwidth according to the compressed speech parameters, and packing the compressed contour chain codes and the compressed speech parameters based on the transmission bandwidth to obtain a target transmission packet sequence. The application ensures the time synchronization and transmission reliability of image and speech data, solves the problems of multi-modal data asynchronous transmission and high bit error rate in a narrowband environment, and guarantees correct reconstruction and playing at a receiving end.

The present invention discloses an off-chain data acquisition system based on an oracle cluster, which relates to the technical field of off-chain data acquisition, including a user contract, an oracle contract, a database and an oracle cluster; the user initiates a request through the user contract, and the oracle contract encapsulates the request parameters as a chain code event and sends it to the oracle cluster; the oracle cluster includes at least one centralized oracle node, which is responsible for monitoring the chain code event and obtaining the processing right of the event by seizing the event lock. The node that obtains the processing right obtains the data source parameter by parsing the chain code event, initiates a data request to the data source and parses the response result, and finally calls back the user contract through the oracle contract to write the data back to the chain; all nodes in the cluster share a database, and the database implements event locks based on data tables, and the nodes in the cluster collaborate through event locks; the present invention can improve the efficiency of data acquisition, reduce the complexity of design, and ensure the high availability of services.

This application provides a file storage method, apparatus, electronic device, and storage medium. The method includes: receiving chaincode parameters and a file to be processed through a conversion layer of a blockchain server; identifying the chaincode parameters; after confirming that the chaincode parameters include a file identifier, establishing a connection between the conversion layer and the blockchain server, and transmitting the file to be processed to the blockchain server; performing fragmentation on the file to be processed to obtain file fragments; calculating a digest of the file fragments to obtain a fragment hash value for each file fragment; and distributively storing the fragment hash values ​​on the blockchain server. By receiving the chaincode parameters and the file to be processed through the conversion layer of the blockchain server, identifying the chaincode parameters, and establishing a connection with the blockchain server after confirming that the transmitted file is a file, the method enables file storage on the blockchain server, improving file transmission efficiency, eliminating reliance on third parties, and enhancing data security.

The invention belongs to the technical field of artificial intelligence, and particularly relates to a multi-modal generation model acceleration method and system, and the method comprises the steps: constructing an edge cluster, deploying a block chain network in the edge cluster, the edge cluster comprises a plurality of edge calculation nodes, and each edge calculation node is provided with a multi-modal generation model; deploying a multi-modal generation model chain code to a block chain network, wherein the multi-modal generation model chain code defines service logic for processing and storing multi-modal generation model information of the edge computing node; and receiving and processing multi-modal generation model information sent by the edge computing node by using the multi-modal generation model chain code. The calling efficiency of the multi-modal generation model can be improved.

The embodiment of the present application discloses a method, device and medium for obtaining and generating random numbers, including: when each node needs a random number, calling the random number acquisition method in the random number chain code, inputting the timestamp and transaction ID into the random number chain code, and outputting a number with a preset number of digits; using the number with the preset number of digits as the serial number corresponding to the random number in the pre-stored random number library; determining the first random number corresponding to the serial number in the random number library, and sending the first random number to each node. The embodiment of the present application determines the corresponding random number in the pre-stored random number library through the timestamp and transaction ID, and sends the random number to each node. Due to the uniqueness of the timestamp and transaction ID, the random number obtained by each node is also the same, which can ensure the success of the write chain operation.

The present invention relates to a computer-aided agricultural product quality detection and grading method and system, and belongs to the field of image processing technology. The method comprises the following steps: obtaining an image of the agricultural product to be detected, extracting the epidermis portion of the image of the agricultural product to be detected as an initial agricultural product image, obtaining an initial outer contour edge line of the initial agricultural product image, obtaining a chain code sequence of the initial outer contour edge line, and selecting abnormal chain code values ​​in the chain code sequence; forming abnormal edges from pixel points corresponding to the abnormal chain code values, deleting the abnormal edges to obtain incomplete edge lines, and filling the incomplete edge lines to obtain a final outer contour edge line of the epidermis; the present invention can accurately obtain the final outer contour edge line of the agricultural product, calculate the roundness of the final outer contour edge line by using the distance between each pixel point and a center point on the final outer contour edge line, and grade the agricultural product according to the roundness.

The invention discloses a weighing data acquisition and analysis system and method based on industrial Internet of Things, and particularly relates to the field of industrial metrology, and the system comprises a historical database module, a machine learning model training module, an automatic calibration module and a calibration application module. The historical database module is used for collecting, integrating and storing multi-dimensional data in a historical physical chain code calibration process, forming and establishing a structured database containing the following three types of information and preprocessing the structured database; the automatic calibration module is an execution unit used for calibration and is responsible for completing real-time prediction of parameters when calibration is needed; the calibration application module is responsible for applying the prediction result to a metering instrument of the belt weigher and executing parameter updating and application; according to the invention, the original physical calibration process requiring several hours of shutdown and multi-person cooperation is shortened to several minutes of data acquisition and model calculation process, so that one-key automatic calibration is realized.

The present invention provides a method for identifying ship types based on adaptive chain codes, comprising: S1, obtaining a ship image of a ship to be identified; S2, extracting the outer contour of the ship to be identified from the ship image; S3, calculating an adaptive chain code for the outer contour of the ship to be identified, recorded as a first adaptive chain code; S4, respectively calculating the similarity between the first adaptive chain code and each adaptive chain code in a preset ship type library, recording the adaptive chain code in the ship database as a second adaptive chain code, and using the second adaptive chain code with the highest similarity as a target chain code; S5, obtaining the corresponding ship type in the ship type library based on the target chain code, and using the obtained ship type as the ship type of the ship to be identified. This method can effectively improve recognition rates, does not require a training process, and has a lower computational load than machine learning methods for identifying ship types.

The application discloses a method for verifying a Fabric complex endorsement strategy in cross-chain, wherein the Fabric blockchain first registers an MSP list, a chain code ID and an endorsement strategy description into a cross-chain network, transmits a generated cross-chain transaction to a relay chain, then the relay chain analyzes a transaction execution result and a set of endorsement node signatures, generates an endorsement strategy interpreter, and confirms that the transaction execution result is consistent with the chain code ID registered in the cross-chain network, and if not, the verification fails, and finally the endorsement strategy interpreter verifies the set of signatures. The application can verify a complex endorsement strategy customized by a user, is friendly to a user of the Fabric network, does not need to write a verification strategy by itself, and only needs to submit an endorsement strategy description, and can prevent a user from performing malicious attacks through different chain codes.