524 results about "Consensus algorithm" patented technology

A computer-implemented method and system for privacy-preserving location verification in distributed networks comprises initializing a multi-modal biometric authentication system on a user device, generating cryptographic keys using a distributed key generation protocol, binding the cryptographic keys to biometric templates using a fuzzy vault scheme, constructing and broadcasting encrypted location beacons, and generating zero-knowledge proofs of location claims. The system includes user devices equipped with biometric sensors and verifier devices configured to validate location claims and maintain consensus in a blockchain network. The method implements real-time liveness detection for multiple biometric input types, executes fault-tolerant consensus algorithms with privacy preservation, and maintains a dual-scoring mechanism comprising device trust scores and user reputation scores. The system enables secure location verification while preserving user privacy through cryptographic protocols and biometric authentication in decentralized environments.

The invention relates to a data access method and system of an intelligent Internet of Things gateway. The method comprises the following steps: performing feature matching and protocol identification on a plurality of sensors and terminal equipment connected to the intelligent Internet of Things gateway by using an equipment feature library to obtain an equipment protocol type; analyzing the original data to obtain standardized data; performing encryption processing to obtain an encrypted security data packet and an encrypted session key; performing multi-factor transmission channel selection to obtain an optimal transmission channel combination; and based on the optimal transmission channel combination, sending the encrypted security data packet to the Internet of Things platform, verifying the received data confirmation information based on a consensus algorithm, and outputting a data access state report through a data visual interface and an AI voice assistant. The processing strategy can be dynamically adjusted according to the equipment characteristics, the data characteristics and the network environment, and the flexibility and adaptability of the system are improved.

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 relates to the technical field of intelligent navigation and control of ships. The invention provides a complex channel ship intelligent navigation and emergency decision-making method and system. The method comprises the following steps: acquiring environment data through a multi-source heterogeneous sensor array, and establishing a channel three-dimensional dynamic environment model; establishing a multi-objective optimization function, and performing dynamic path planning by adopting an improved model prediction control algorithm; synchronizing motion state parameters of an actual ship and a virtual ship model in real time, constructing an emergency decision tree in combination with an expert knowledge base, and verifying the feasibility of an emergency decision through Monte Carlo simulation; carrying out local route optimization by adopting edge computing nodes, carrying out multi-ship trajectory prediction through a federated learning mechanism, and generating a corresponding collaborative collision avoidance strategy; and establishing a dynamic priority scheduling mechanism, implementing hierarchical response, and confirming a global avoidance scheme through a distributed consensus algorithm. The problems that an existing inland ship intelligent system is limited in perception, rigid in decision and weak in collaboration in a complex scene are solved.

The invention provides a medical material distribution method and system based on an offshore medical rescue unmanned aerial vehicle. Wherein a marine environment model is generated; according to the marine environment model, an AI scheduling algorithm is applied to analyze the specific demand, priority and emergency degree of a marine receiving point, and an optimized task sequence and a material loading scheme are obtained; establishing a cooperative communication mechanism between offshore medical rescue unmanned aerial vehicle formations through an AI-driven distributed consensus algorithm, and dynamically adjusting a flight path and generating a distribution path by using an AI path planning technology in combination with real-time situation awareness and obstacle detection analysis; and after arriving at a specified receiving point, automatically calibrating the landing coordinates, and synchronizing the material state, handover information and environmental data to a medical team and a central scheduling system through a low-delay wireless transmission mode according to the distribution path. According to the technical scheme provided by the invention, the efficiency and reliability of offshore material distribution are greatly improved.

The invention discloses a digital production plan scheduling method and system, and belongs to the technical field of optimal scheduling, and the method comprises the steps: constructing a distributed storage architecture based on edge computing nodes; a central coordinator is adopted to realize cross-node data synchronization through an improved Raft consensus algorithm, multi-version concurrency control is realized based on a vector clock, and a global consistent data view is established; a visual scheduling platform is built based on a Vue3 framework, and man-machine interaction is realized by adopting a Canvas and WebGL collaborative rendering framework; establishing a dynamic coordinate conversion model based on bilinear interpolation, designing a space mapping function containing distortion compensation, establishing a multi-thread coordinate service based on WebWorker, and realizing submillimeter-level bidirectional mapping of pixel coordinates and physical coordinates; constructing a three-dimensional space-time analysis model fused with the multi-dimensional features; and all the units are subjected to feature fusion through residual connection, and finally a scheduling scheme with a confidence coefficient weight is output. The method and the device have the effect of meeting various scheduling requirements.

According to the archive data tracking and multi-party cooperation auditing method based on the block chain smart contract provided by the invention, the authenticity and non-tampering property of archive data are guaranteed through a block chain technology, and an efficient and transparent auditing process is realized in combination with the smart contract. According to the method, a multi-level encryption storage and unique identifier generation mechanism of archive data is designed and is used for accurately tracking an archive circulation process; the access behavior is automatically recorded and verified through the intelligent contract, and the operation compliance is ensured. A distributed consensus algorithm is adopted for multi-party cooperative auditing, multiple auditing parties are allowed to participate together, and meanwhile objectivity and authority of auditing results are ensured. The method improves the safety, transparency and efficiency of archive data management and auditing, and can be widely applied to archive management and auditing scenes in the fields of governments, enterprises, education and the like.

The invention relates to the technical field of unmanned aerial vehicle cluster control, and particularly discloses an intelligent cooperative flight path planning method and system for an unmanned aerial vehicle cluster system, and the method comprises the steps: firstly constructing a dynamic environment perception model, collecting data through all unmanned aerial vehicle sensors, and carrying out the preprocessing, attention feature extraction and federal learning fusion, and generating a global environment situation map; planning and screening a candidate track set by adopting a particle swarm-genetic hybrid optimization algorithm for adaptive weight adjustment on the basis of the image; a global optimal track consensus is achieved through an improved consensus algorithm and conflict resolution through a distributed collaborative negotiation mechanism and no human-computer interaction evaluation indexes; and finally, monitoring the environment in real time during execution, triggering dynamic re-planning when the environment is abnormal, and ensuring track adaptation through multi-level threshold and incremental planning. According to the method, the unmanned aerial vehicle cluster can quickly respond to the environment change and adjust the flight path, so that the task execution efficiency and success rate of the unmanned aerial vehicle cluster in the complex dynamic environment are improved.

The invention discloses an emergency demand response resource optimal allocation method under a hierarchical aggregation architecture, which comprises the following steps of: by constructing the hierarchical aggregation architecture, dividing flexible resources into a plurality of regions according to geographic positions and communication characteristics, and enabling a region coordination center to be responsible for local power allocation and load scheduling in each region; a power grid dispatching center is responsible for coordinated management of global demand targets, dispatching complexity is remarkably reduced, real-time performance is improved, an optimization model adopts a multi-target optimization method, power response cost, response reliability and time delay penalty are integrated, and through power balance, capability constraint and time constraint, accuracy and economical efficiency of an allocation scheme are ensured, and the allocation efficiency is improved. According to the method, rapid adjustment of resource state abnormity, response deviation or node faults is realized through dynamic adjustment and a distributed consensus algorithm, the surplus capacity in the region is preferentially utilized to compensate the insufficient demand, and redundant power support is scheduled through an inter-region coordination mechanism when necessary.

The invention discloses a goaf unmanned aerial vehicle inspection system based on monitoring and early warning, and the system comprises an observation data collection module which is used for collecting settlement and fracture main variables to form a time stamp observation set; the data fusion module is used for generating a unified monitoring data set by adopting a fractal small-world network coding consensus algorithm; the initial route planning module is used for constructing a route sequence based on a main variable evolution tensor and a risk map; the flight path execution module is used for collecting a flight path and environment data; the fault-tolerant control module triggers a fractional order sliding mode fault-tolerant and degradation mechanism based on the consistency error; and the closed-loop optimization module is used for dynamically updating the main variable tensor and the path cost function and outputting an optimized track and a structured early warning result. The system has high dynamic responsiveness and multi-source risk adaptability.

The invention discloses a rural industry agricultural product full-process traceability method based on a block chain. The method comprises the following steps: collecting agricultural product full-life-cycle process data and environmental parameter data through Internet of Things sensing equipment; preprocessing the agricultural product traceability data by using a space-time agricultural data compression technology; storing the compressed key traceability data in a block chain network, and storing high-capacity original data through a content addressing interstellar file system; maintaining the consistency of the block chain network based on an adaptive agricultural season consensus algorithm; automatically executing data verification and business logic processing through the smart contract; the authenticity of agricultural product traceability information is verified based on a zero-knowledge proving technology, and meanwhile peasant household sensitive data are protected.

AI neural networks are integrated with distributed ledger technology (DLT), including the integration of decentralized oracles, to enhance the functionality, security, and efficiency of systems. The integration incorporates several components and methods comprising novel neural network architectures, data preprocessing techniques, DLT integration approaches, privacy and security measures, consensus mechanisms, and others. The invention enables the development of neural smart contracts, neural consensus algorithms, dynamic neural network training, neural network optimization techniques, hybrid DLT architectures, neural network interpretability methods, and reinforcement learning for neural smart contract execution. By integrating decentralized oracles into the system, the invention has the capability to further enhance the reliability, accuracy, and diversity of data used within the DLT, improving transaction validation, consensus mechanisms, and overall system performance.

The present invention relates to the technical field of communication anti-interference, and relates to an interference confrontation method, system, device and medium for a wireless communication network, the method comprising: obtaining spectrum data, the spectrum data comprising spectrum data deployed and collected by a wireless network according to an initial deployment scheme; performing feature extraction and fusion processing on the spectrum data to generate a spectrum situation map; performing reinforcement learning decision processing according to the frequency spectrum situation map to generate a dynamic anti-interference strategy; according to transmitting node combination parameters in the dynamic anti-interference strategy, a collaborative bait node group is obtained through distributed consensus algorithm processing; sending a virtual signal to an interference source according to the dynamic anti-interference strategy and the collaborative bait node group; and calculating the strategy effect of the virtual signal by using a reinforcement learning reward function to obtain an optimized anti-interference strategy, thereby breaking through the limitation of insufficient static coping and cooperation of a traditional anti-interference method, and realizing communication reliability and anti-interference adaptability in a complex dynamic interference environment.

The invention discloses an air-ground cooperative vehicle networking distributed digital twin service credible sharing method, which comprises the following steps of: firstly, according to an air-ground cooperative traffic data type, performing hierarchical packaging and storage on operation data of a vehicle networking distributed digital twin system; secondly, an authoritative random equilibrium consensus algorithm is used, and a distributed edge digital twinning system of the air-ground cooperative Internet of Vehicles carries out consensus on blocks generated by data and uploads the blocks to a block chain; and finally, requesting a twinning service from the remote digital twinning system at the edge digital twinning system, and verifying the service record through a directed acyclic graph block chain and an interstellar file system, thereby realizing the trusted sharing of the service among the edge digital twinning systems in the air-ground collaborative internet-of-vehicles distributed digital twinning system. According to the method, the authenticity and tamper-proof capability of the operation data of the air-ground cooperative Internet of Vehicles distributed digital twin system in cross-node sharing are ensured, the access efficiency of large-scale data is improved, and technical support is provided for cooperation of the Internet of Vehicles and the unmanned aerial vehicle.

The invention provides a block chain-based production breaking information management method and system, and the method comprises the steps: collecting production breaking management information in a production breaking management process, and carrying out the encryption of the production breaking management information for multiple times; the encrypted production breaking management information is packaged and linked, and a fragmentation mechanism carries out fragmentation storage on different types of data; dynamically adjusting the weight of the consensus node, and carrying out transaction verification in each fragment through a dynamic consensus algorithm; after consensus verification, an innovative Hash chain is constructed by using a wave function, and further verification is carried out. Through the method and the corresponding system, the system performance and the tamper-proof capability of the data can be effectively improved, and the rights and interests of the participants and the integrity of the data are ensured.

The invention relates to a carbon emission checking system and method based on a block chain, and the system comprises a basic resource layer which collects enterprise energy consumption data in real time, employs cloud computing resources to provide data storage and computing capability, and employs a Hash algorithm to process the enterprise energy consumption data, and obtains a data abstract; the block chain network layer carries out distributed storage through an alliance chain architecture, carries out consensus evidence storage on the data abstract by adopting a PBFT consensus algorithm, and generates an encrypted data abstract; the intelligent contract layer receives the encrypted data abstract transmitted by the block chain network layer, and executes verification, calculation and supervision rules; and the application service layer calls the processing result of the intelligent contract layer, and respectively provides an enterprise carbon checking terminal service interface, an institution carbon checking terminal service interface and a competent department carbon supervision terminal service interface for the enterprise, a third-party checking institution and the competent department to check the carbon emission. According to the invention, high-efficiency check, high-credibility verification and whole-process traceable supervision of the carbon emission data are realized.

The invention relates to a multi-robot cooperation method and device, electronic equipment and a storage medium, belongs to the technical field of robot control, and is used for performing cooperative control on multiple robots based on a constructed MRVCC model. The MRVCC model comprises a virtual centroid module, a consensus algorithm module and a hierarchical strategy control module; the multi-robot cooperation method comprises the following steps: constructing a virtual centroid node shared by multiple robots based on a virtual centroid module, planning behaviors of the multiple robots based on the virtual centroid node, generating a multi-robot formation, and obtaining formation information; the behaviors of the multiple robots are coordinated based on formation information and a consensus algorithm module, and a minimum formation accumulated error is obtained; and the states of the robots in the multi-robot formation are determined, and based on the states of the robots, a hierarchical strategy control module is adopted to execute various kinds of strategy control, so that multi-robot collaborative formation and obstacle avoidance targets are completed.

The invention provides a thermal power network security consensus verification method and system based on artificial intelligence, and relates to the technical field of network security, and the method comprises the steps: collecting thermal power network equipment data, carrying out the feature extraction, inputting a deep neural network model, and carrying out the analysis, thereby obtaining a network security state evaluation result. Constructing a consensus mechanism based on a block chain technology, and storing an evaluation result to a plurality of nodes; when an evaluation result triggers a threshold condition, an improved practical Byzantine fault-tolerant consensus algorithm is started for verification, a credibility weight mechanism is introduced into the algorithm, and a credibility score is calculated according to node historical behaviors to serve as a voting weight. And an evaluation result exceeding two-thirds weighted voting is confirmed as a valid result, and safety early warning information is generated and broadcasted to all the control units. The accuracy and reliability of thermal power network security state evaluation can be effectively improved, security threats can be found and early warned in time, and the security protection capability of the thermal power network is enhanced.

The invention discloses a data integrity verification method based on a block chain, and particularly relates to the field of data verifier.The method comprises the steps that firstly, a mixed framework of a relational database and a non-relational database is constructed, various kinds of data and statistical information are stored, and then image and text data are subjected to multi-dimensional segmentation; a specific algorithm is adopted to calculate a data unit hash value, a data block hash value and a top level hash value are obtained through hash aggregation, an alliance chain architecture and an intelligent contract are utilized to realize data uploading and storage, access permissions of different block chains are set, and a consensus algorithm is dynamically adjusted by monitoring a network load and a node performance state in real time, so that the network load and the node performance state are monitored in real time. According to the method, the block chain network is guaranteed to run stably, in the data integrity verification link, through preliminary verification and detailed verification, comparison of hash values of all levels and accurate judgment of data integrity, complex data can be effectively processed, tampering positions can be quickly positioned, and verification efficiency and safety are improved.

The invention discloses a dynamic security authentication method for cross-platform information system integration, and relates to the technical field of cross-platform dynamic authentication. A non-tampering identity trust chain is established through a block chain consensus algorithm, the problems of single-point fault and expansibility of centralized identity management are solved, cross-platform unified identity verification is realized, the problem that multi-factor authentication lacks intelligent risk assessment is solved through intelligent contract automatic verification and user behavior analysis, threats can be dynamically responded, and the user experience is improved. The authority is dynamically adjusted based on the risk level, and a real-time access control decision engine is combined, so that the problem of response lag of traditional access control is solved, accurate authority control is realized, and finally, a continuously optimized security authentication mechanism and a unified and coordinated cross-platform security protection system are formed.

The invention provides an information security risk management method and management system. The system is composed of four core modules: a multi-modal data acquisition layer: probes deployed at a terminal and a server support heterogeneous data acquisition of network traffic, operation logs and an API (Application Program Interface) call chain; according to the block chain log storage layer, a private chain is constructed based on an improved BFT consensus algorithm, and each block comprises a timestamp hash value and a preorder block fingerprint; the dynamic risk assessment engine adopts an LSTM-Transform hybrid neural network, and input dimensions comprise a user behavior baseline, a vulnerability library version and threat intelligence feed; and the intelligent response decision module is used for integrating a reinforcement learning algorithm, automatically generating a disposal strategy and triggering the SDN controller to execute network isolation. According to the method, a local chain-alliance chain-audit chain three-level structure is applied to data island treatment and data integration in organization, the problem of internal data fragmentation is solved through the local chain structure, unified storage and rapid source tracing of heterogeneous logs are achieved, and data authenticity and time sequence integrity are ensured.

The present invention relates to the technical field of blockchains, and in particular to a blockchain-based multi-partition asynchronous parallel consensus method. The method comprises: constructing a multi-partition asynchronous parallel consensus blockchain system comprising a plurality of partitions and a plurality of guide nodes; for each partition, each ordinary node publishes and broadcasts transaction information in the partition to which it belongs, and each ordinary node collects and stores the transaction information published in the partition to which it belongs; each partition creates a partition block by executing an intra-partition consensus algorithm, and uses a main node to upload the partition block to a guide node; and each guide node sorts the collected partition blocks, and selects one partition block therefrom to execute an inter-partition consensus algorithm. The present invention enables the synchronous intra-partition consensus initiation and execution provided for in existing sharded blockchain systems to now be performed asynchronously, thus improving system parallelism, transaction information processing throughput, and cross-shard communication processing efficiency.

The invention relates to the technical field of energy storage systems, and provides a self-adaptive power distribution method and system for multiple energy storage units of an island microgrid. According to the invention, a discrete consistency algorithm is adopted to realize coordination control of multiple units, each unit only exchanges information with adjacent units, and power distribution targets of all the units are converged to a consistent value through iterative computation, so that the communication bottleneck and the single-point fault risk of centralized control are avoided; according to the invention, a complete fault-tolerant processing mechanism is designed, the operation state of each energy storage unit is monitored in real time, topology updating and power redistribution are automatically carried out when a unit fault is detected, and the self-healing operation of the system is realized. Experiments show that compared with a traditional method, the method has remarkable advantages in key performance indexes such as capacity balance among energy storage units, system operation efficiency, communication overhead and fault recovery time, and the operation efficiency and reliability of the island microgrid system are remarkably improved.

A heterogeneous storage-oriented hot and cold data management method and system, wherein hot and cold data are managed by means of the following steps: at table granularity, storing data from each table into an independent data bucket in the form of object storage, each data bucket comprising a plurality of partitions, the data being randomly distributed in each partition, and the consistency of replicas of the partitioned data being ensured by means of a distributed consensus algorithm; collecting statistics about the access frequencies of the partitions in one data bucket; when the access frequency of one partition reaches a set threshold, adding a new replica to a target storage medium by means of a membership change in the distributed consensus algorithm; and when data synchronization between the new replica and an old replica is completed, detecting the old replica. In this way, the migration of the partitioned data on different storage media is realized, and data cooling and heating are implemented. The method and system can maximize the use efficiency of high-performance storage media, ensure the access efficiency of users, and can reduce the costs of data migration and maintenance.

The invention provides an accounting method based on a distributed account book, and the method comprises the steps: enabling a system to obtain a complete log block after a bifurcation point from other nodes according to the position of the bifurcation point, transmitting the complete log block to a bifurcated node, and enabling a log of the bifurcated node to be consistent with other nodes through a log copying mechanism of a Raft consensus algorithm; in the bifurcation recovery process, the system continuously monitors network connection and health conditions of all nodes, if any new exception is detected in the recovery process, the process is temporarily stopped, and when the exception is solved, bifurcation recovery is restarted; and after the bifurcation is recovered, the secondary node receives the log entry again or receives the log entry again, so that the financial bookkeeping record in the cloud environment is recovered, and the account book state of the node generating the network partition problem is synchronized with that of other nodes.

The invention discloses a carbon right-green certificate collaborative transaction method based on a block chain, and belongs to the field of block chain technology and environment management. The method specifically comprises the following steps: 1) deploying an intelligent contract based on an Ethereum platform, and integrating power transaction, carbon quota delivery and green certificate issuing process chains to realize automatic execution of transaction rules and non-tampering of data; (2) a Carbon Token excitation mechanism is innovatively designed, a DPoS-CT consensus algorithm considering the right of the Carbon Token is proposed, and a market subject is excited to continuously reduce emission; 3) a dynamic reputation model and a reward and punishment mechanism are used to quantify subject performance behaviors and distribute on-chain rights and interests; and 4) resetting the transaction cycle every 24 hours, and optimizing quota allocation and consensus parameters based on historical data. According to the mechanism provided by the invention, renewable energy transaction can be effectively stimulated, and after the block chain carbon pass system is introduced, the quota completion rate, the green electricity utilization rate, the carbon emission, the carbon right-green certificate transaction volume and the economic benefit are optimized to a certain extent.

The invention relates to the technical field of data information operation and maintenance management, and discloses a data information operation and maintenance management method based on an AI chain trust mechanism, and the method comprises the steps: obtaining multi-source heterogeneous data through a distributed collection terminal composed of an edge calculation node, an Internet of Things sensor and a third-party interface module; and after format conversion, a data trust value is calculated by using a multi-dimensional trust evaluation model containing a source reliable item, a content consistent item and the like, then the data trust value and a historical trust record in a block chain distributed account book are subjected to association verification, and a trusted data identifier is generated through a consensus algorithm. And constructing an on-chain storage index based on the data type, the timestamp and the source node, encapsulating the data by adopting a hierarchical structure of a metadata layer, a content layer and a verification layer, and outputting a storage address. A monitoring layer of the dynamic operation and maintenance control model identifies abnormity in real time, a decision-making layer generates an operation and maintenance strategy in combination with credible data identification and historical records, and an execution layer triggers repairing and updating operation through an intelligent contract, so that on-chain credible operation and maintenance management of data information is realized.

The invention provides a circuit breaker control method and system based on wireless communication, and the method comprises the steps: obtaining a network environment through employing a safety authentication wireless network with a self-adaptive spectrum sensing capability, and carrying out the control of a circuit breaker through employing a zero-knowledge proof algorithm based on an advanced encryption standard according to an operation request sent by a user through a mobile terminal, the method comprises the following steps: generating an encryption control command, obtaining an operation instruction based on a Hash chain security protocol and a digital signature technology, executing a corresponding preset action according to the operation instruction to obtain execution state information, generating a log entry according to an advanced encryption standard feedback mechanism, and storing the log entry by utilizing a block chain technology. The operation consistency between systems is coordinated through a consensus algorithm under a distributed decision framework, and non-tampering and distributed maintenance and control records are generated; according to the technical scheme provided by the invention, the communication flexibility, reliability and security are enhanced, the risk of unauthorized access is reduced, and the accuracy and reliability of the operation instruction are ensured.

The invention discloses a radiotherapy mold full-process block chain traceability storage method and system, and relates to the technical field of medical user management, and the method comprises the steps: building a radiotherapy mold storage block chain platform, and deploying an identity verification smart contract; establishing a medical institution radiotherapy mold management block chain platform, and integrating an Internet of Things data acquisition module; establishing a radiotherapy order collaborative block chain platform; a cross-chain relay protocol is adopted to establish data mapping between the radiotherapy mold storage block chain platform and the medical institution management platform, and a mold state synchronization rule is defined; data transmission among all platforms is encrypted by adopting a BFT consensus algorithm, a non-tampering auditing chain is generated by data access operation of a medical institution, and a supervision institution verifies data integrity through a zero-knowledge proof technology. The method has the advantages that through deep cooperation of the block chain and the Internet of Things technology, a credible traceability closed loop of the whole life cycle of the radiotherapy mold is constructed.

The invention relates to the technical field of power equipment supply chain management, and discloses a power equipment supply chain collaborative management system based on an alliance chain, comprising an alliance chain network layer: a distributed network composed of a manufacturer node, a supplier node, a logistics node, a detection node and a grid company node, each node maintaining account book consistency through a consensus algorithm; the intelligent contract execution layer comprises an order processing contract, a logistics tracking contract, a quality acceptance contract and a settlement management contract, and supports automatic execution of a business process; and the data management platform is provided with a distributed storage unit, an encryption transmission unit and an authority control unit and is used for realizing encryption storage and hierarchical access of key data. Full-process automation of order matching, production plan generation and logistics tracking is realized through an intelligent contract execution layer, an AI prediction module can pre-judge a demand peak value in advance based on historical data, a node processing priority is optimized in combination with a dynamic consensus algorithm, and manufacturer order response time is compressed.