955 results about "Rollback" patented technology

The invention relates to the technical field of artificial intelligence, can be applied to business scenes such as financial science and technology and medical health, and discloses a processing environment switching and recovery method, device, equipment and medium. The method comprises the steps that multi-source heterogeneous data in a main processing environment and a standby processing environment are acquired, and the system fault probability is obtained through multi-model collaborative prediction; a dynamic threshold value is generated in combination with a historical service period mode and a real-time service load, when the fault probability exceeds the threshold value, a switching strategy is generated based on the fault scene knowledge base and the service priority, and flow scheduling between the main processing environment and the standby processing environment is executed; and monitoring the business index of the standby processing environment during the scheduling period, and triggering the fusing rollback when the business index is lower than the health standard. According to the method, the fault identification precision is improved through multi-source data fusion and multi-model prediction, adaptive scheduling is realized in combination with a dynamic threshold and a switching strategy, and fusing rollback is triggered to guarantee high availability and data consistency, so that the continuity and stability of key services are enhanced.

The invention discloses an AI Agent implementation method based on a large language model and a knowledge graph, and relates to the technical field of artificial intelligence, and the method comprises the steps: taking a semantic feature embedding vector as a query basis, obtaining an entity node and a relation path in the knowledge graph, carrying out structure embedding coding, and generating a structure embedding vector; performing two-channel semantic structure alignment on the semantic feature embedding vector and the structure embedding vector, and performing alignment processing on entity nodes and relation paths in the knowledge graph to generate a path candidate set; performing structured coding on the path candidate set to generate prompt information, combining the prompt information with a natural language instruction, inputting the combined prompt information into a large language model, and generating a response draft; and performing path consistency verification on the response draft, if the response draft is not consistent, executing rollback and regenerating a new response text draft, and if the response draft is consistent, outputting a final response text. According to the method, the quality and the credibility of the response text are remarkably improved, and the interaction stability and the user experience of the intelligent agent are enhanced.

The invention relates to the technical field of application state diagnosis, in particular to an application state dynamic diagnosis and automatic repair method and system.The method comprises the steps that multi-source heterogeneous logs are collected and standardized in real time, key fields are extracted, context information is injected, and structured log data are generated; inputting the structured log data into a dynamic anomaly detection model, constructing a dual-path detection mechanism based on LSTM time sequence analysis and a graph neural network, identifying an abnormal mode and positioning a fault root cause; according to the output of the anomaly detection model, a repair action is triggered in a grading manner through an intelligent repair strategy engine; in the repairing process, system state changes are stored and recorded through a pre-writing type redundancy log, automatic rollback during abnormity is achieved on the basis of check point information, and data consistency and system stability are guaranteed. The problem of service interruption or data inconsistency possibly caused by traditional automatic repair is avoided, and the reliability of automatic operation and maintenance is improved.

The invention discloses a data collaborative directory management method and system, and relates to the technical field of government affair informatization, and the method comprises the steps: generating a directory snapshot containing a global hash value; calculating a directory node hash value of each edge directory node based on the directory snapshot identifier; eliminating clock drift interference through time sequence alignment and dynamic tolerance filtering; inputting the Hash difference time sequence into an isolated forest model to judge a substantial change node; based on the difference entry number and the historical calling weight, combining a dual-threshold rule and an online dichotomy model to hierarchically synchronize requirements; according to a grading result, matching an incremental push mode or a full pull mode, and constructing a synchronous transaction context containing an exponential backoff retry mechanism; synchronous operation is executed through the two-stage state model, and compensation rollback is triggered when the synchronous operation fails; and calculating a health index of the substantially changed node, dynamically selecting a self-healing action and optimizing system parameters. The problem of misjudgment caused by time sequence drift is effectively solved, the synchronization efficiency is improved, and the consistency of directory versions is guaranteed.

The invention relates to the technical field of base frame operation and maintenance, can be applied to business scenes such as financial science and technology and medical health, and discloses a context object-driven patch processing method, device, equipment and medium, and the method comprises the steps: extracting an equipment attribute identifier, an operation state identifier and a routing path identifier from an operation environment of target equipment to generate a context object, creating a patch definition, verifying the patch definition in a security sandbox, submitting and approving the patch definition to form a patch version identifier, configuring an environment isolation condition in combination with an effective range, issuing a patch execution instruction carrying the patch version identifier, the environment isolation condition and a hook definition, triggering patch script application repair logic, and calling a cache cleaning tool to process a resource cache. And collecting logs and indexes to generate a monitoring record, and executing rollback or off-shelf operation based on the monitoring record to finish the patch task. Through combination of dynamic patch definition, instruction issuing and version management, safe distribution of front-end patches is realized, and the stability and maintainability of the system are improved.

The invention discloses a remote monitoring cooperation system based on intelligent network connection, and relates to the technical field of cooperation control, and the system comprises a protocol analysis and normalization module which analyzes an original protocol message uploaded by a heterogeneous terminal, and generates standard event metadata; the arrangement scheduling module injects an execution token into a linkage execution sequence generated based on the standard event metadata and the strategy library, issues an action instruction, and triggers a remedial sub-process along a rollback edge when feedback is abnormal; the parameter intelligent setting module is used for generating an operation portrait based on the execution track log and obtaining a strategy parameter set based on the operation portrait; the intelligent cooperative processing module executes digital signature verification, certificate rolling rotation, deterministic transmission control and video adaptive adjustment according to the strategy parameter set; according to the invention, through organic combination of strategy analysis, arrangement scheduling, parameter intelligent setting and intelligent cooperative processing modules, automatic response and efficient control during coupling of multiple types of events in an intelligent network connection remote monitoring scene are realized.

The invention discloses a data auditing method based on big data, and relates to the technical field of big data, and the method comprises the steps: obtaining multi-modal data in a big data platform form, extracting features of the multi-modal data to generate a feature set, creating a rule base based on the feature set, and constructing a cross-form dependency graph according to the feature set and the rule base; cascade auditing is executed through a cross-form dependency map, when auditing fails, an affected field is reversely positioned according to the connection direction of the map, and incremental state rollback and re-auditing are executed on the affected field; when it is detected that the high-frequency data is changed, an anti-rollback storm mechanism is started, a cascade load index is obtained, and a rollback instruction set is generated through cascade blocking based on the index; and executing distributed fault-tolerant control, constructing a node collaborative protection system through cascade loads, and outputting a fault-tolerant operation instruction.

The invention discloses an industrial Internet of Things control method for multi-type working parameter deployment, which relates to the technical field of industrial automation control, and comprises the following steps: S001, establishing a time sequence observation baseline of a multi-stage redundant path, injecting micro-amplitude identification pulses into all control nodes, generating an instruction time delay distribution curve and a resource occupation track, and establishing a time sequence observation baseline of a multi-stage redundant path; the method is used for revealing potential conflict sources and providing initial conditions. According to the method, a conflict source is revealed by establishing a time sequence observation baseline, competition nodes are identified by using a loop retrieval graph, a conflict list is formed, a single-source control right token is issued to realize link convergence, token stagnation is monitored, snapshot rollback and standby path takeover are combined to avoid interruption, and after takeover, time delay shaping is implemented to ensure stable landing of an instruction. Finally, the topological weight, the token priority and the fusing threshold value are dynamically updated, a self-evolution closed loop is constructed, and high reliability and high safety of industrial Internet of Things control are achieved.

The invention discloses a large language model knowledge base self-adaptive updating method combining documents and interactive feedback, and relates to the technical field of knowledge base updating, and the method comprises the steps that a real-time change detection module monitors streaming documents and interactive feedback, and captures and marks a single fact change event; the decision module calculates a shunting decision coefficient according to the heat density index and the linkage sweep index, and the event is shunted to a Micro-Edit or Incremental-Tune path; if shunting to the Micro-Edit path, the positioning module executes attention backtracking and gradient sensitivity analysis, and determines a to-be-updated weight address; the rank-one editing module implements rank-one updating and records an audit log; the verification module generates an online token or a rollback instruction through consistency comparison; the version management module manages a version, activates a new version route and cleans out expired branches. Through event granularity identification, intelligent shunting, local updating and multi-version management, the timeliness of knowledge base updating is remarkably improved, and resource consumption and maintenance cost are reduced.

The invention discloses a campus intelligent terminal equipment management method and system based on multi-source state synchronization, and relates to the technical field of intelligent terminals. The campus intelligent terminal equipment management method and system based on multi-source state synchronization comprises the following steps: S1, a terminal cooperatively collects a context state data set, and normalization processing is carried out; s2, constructing a migration mirror image synchronization state data set, and carrying out migration handover of stage switching and playback; s3, constructing a pulse interference detection model, and performing interference window suppression and online correction; and S4, constructing a dual-time reference transaction consistency verification and migration submission determination closed loop, and carrying out linkage rollback and governance. According to the method, the state consistency and the operation stability in the cross-node migration process of the campus intelligent terminal are effectively improved, and the problem of pulse interference in equipment state migration is solved.

The invention discloses an EAP unified management and version rollback system, which relates to the technical field of industrial Internet of Things, is designed aiming at the problems of equipment diversification, non-unified protocols, high updating risk, rollback mechanism deficiency and the like, and consists of a system initialization and configuration module, an updating management execution module, a version rollback control module and a monitoring maintenance optimization module. The method can dynamically bind equipment and applications, preset update rollback rules, guarantee data security through cloud backup and MD5 verification, support active or passive update, realize update whole process management and control through a standardized instruction packet and a version file, roll back to a stable version according to a range when abnormity occurs, monitor states and logs in real time, set a threshold alarm, and improve the reliability of the system. The method solves the problems of poor compatibility, disordered versions and the like of the equipment, improves the updating efficiency and reliability, reduces the risk of production interruption, achieves the full-life-cycle efficient management of the equipment, and guarantees the production stability and operation and maintenance efficiency of intelligent manufacturing.

The invention discloses a manufacturing task autonomous negotiation and execution method based on a large language model agent, and the method comprises the steps: constructing a production scheduling agent, an equipment management agent, a material distribution agent and a quality control agent, analyzing a natural language task instruction through the production scheduling agent, and decomposing the natural language task instruction into subtasks; each agent calculates a utility value based on the load rate, the resource matching degree, the estimated completion time and the historical success rate, and performs structured negotiation to achieve a task allocation consensus; a prediction-check-rollback architecture is adopted to generate an action instruction sequence, the sequence is compiled into a time Petri network transition sequence, and reachability verification is carried out based on hard security constraints; production environment data is collected in real time to trigger anomaly detection and re-negotiation, and a formalized security verification and causal anti-factual reasoning parameter updating mechanism is introduced. According to the method, unstructured instruction understanding, autonomous task planning, multi-agent collaborative decision and closed-loop optimization are realized, and the problems of real-time performance, safety and interpretability of a large language model in manufacturing control are solved.

The invention relates to the technical field of firmware upgrading, in particular to an LZ77-based embedded firmware security upgrading method and system, which comprises the following steps: electrifying to obtain guide information and a version identifier, judging a trigger condition and writing in an upgrading mode, generating a start mark to perform LZ77 compression, executing decryption and CRC (Cyclic Redundancy Check) check, and reconstructing a firmware comparison signature. And updating the guide pointer or recovering the snapshot, and monitoring voltage evaluation abnormity to trigger recovery interruption. According to the method, the storage efficiency of the space occupied by the snapshot data is improved through compression ratio evaluation before writing, a data integrity screening mechanism is established in combination with AES encryption head decoding and CRC comparison in the data block receiving process, the data security guarantee in the firmware writing stage is enhanced, decoding recovery is achieved through an original snapshot structure under the condition that comparison fails, and the data integrity screening efficiency is improved. Power supply state dynamic evaluation is realized by combining voltage change rate analysis, snapshot recovery and firmware rollback are triggered through an abnormal trend, and the safety processing capability in a voltage abnormal environment is improved.

The invention discloses an intelligent gray scale and multi-version adaptive deployment system and method based on Kubernetes, and the method comprises the steps: through an Operator which operates in Kubernetes and integrates a plurality of intelligent modules, the Operator can collect and fuse a business performance index and a technical performance index, and generates a comprehensive "version health score"; according to the real-time state of the health score, the rhythm and the step length of flow release are adaptively adjusted; meanwhile, through integration with a service grid, staged and context-based accurate flow routing is realized; when serious problems occur, safe rollback can be automatically executed, and cooling locking can be applied. According to the method, the service target and the release process are deeply bound, so that the intelligence of release decision, the self-adaptive adjustment of the release process and the fine control of the risk are realized, and the security, efficiency and success rate of software release are remarkably improved.

The invention provides a front-end resource dynamic preloading method, system and device and a medium, and belongs to the technical field of front-end engineering. The method comprises the following steps: constructing and training a user behavior prediction model based on a Transform time sequence model architecture, and deploying the user behavior prediction model to a browser side after compression processing; the method comprises the following steps: acquiring behavior data of a user by monitoring a user interaction event, constructing a time sequence operation sequence, and collecting network information and equipment performance information; inputting the time sequence operation sequence into the model, outputting probability distribution of the next operation, and determining related resources; based on the probability distribution, the resource type and the network information, calculating the priority of the resource, and generating a resource priority queue; according to the network information and the equipment performance information, determining a pre-loaded resource type, and adjusting a resource priority queue to generate a pre-loading strategy; a cache rule is defined, a cache configuration file is generated, and a CDN cache is used for preloading resources; and executing the preloading strategy, and carrying out rollback processing after loading fails.

The invention discloses a construction site-oriented multi-mode inspection data intelligent analysis and closed-loop management system, and belongs to the technical field of building construction management. The system comprises a multi-modal data acquisition module, a fusion and feature extraction module, an intelligent analysis module, a decision distribution module and a closed loop verification module. The system performs space-time alignment on the collected visual, sensing and positioning heterogeneous data, and generates unified representation by using cross-modal attention fusion; modal contradictions are eliminated through joint reasoning, risks are evaluated, and a disposal task is automatically generated; after the task is completed, a data rechecking process is automatically started, the improvement degree is calculated by comparing the data before and after rectification so as to verify the effect, and automatic rollback is performed if the result is unqualified. The problem of heterogeneous data integration is effectively solved, a whole-process closed loop from hidden danger recognition to automatic verification is realized, and the risk response speed and management efficiency of a construction site are remarkably improved.

The invention discloses a power distribution terminal upgrading method, system and device based on an SD card and a medium. The method specifically comprises the steps of generating an incremental package of a Linux kernel and / or a root file system, calculating a hash value file of the incremental package, and generating a block chain certificate with a timestamp; encrypting and packaging the incremental package, the hash value file and the block chain certificate into a container mirror image, performing digital signature to form an upgrade package, and writing the upgrade package into an SD card; after it is detected that the SD card is inserted, mounting a boot partition, analyzing metadata of an upgrade package, and setting an upgrade flag bit and an upgrade operation type of Boot; and performing digital signature verification, hash value file verification and block chain certificate verification on the upgrade package in the SD card, if the verification is passed, backing up user parameters to the encrypted storage area, and restarting to enter the Recovery OS to complete replacement upgrade of the Linux kernel and / or the root file system. According to the method, safe, efficient and flexible upgrading of the operating system of the power distribution automation terminal is achieved, the rollback function is achieved, and the upgrading risk and cost are effectively reduced.

The invention discloses a risk control strategy-based decision engine and method, and relates to the technical field of financial risk control, and the decision engine comprises a strategy warehouse module, a mapping service module, an execution engine module, a data management module, a version rollback module, a security scale module, and a monitoring alarm module. According to the invention, function decoupling is realized through collaborative design of the seven modules, and the modules interact through a unified interface, support strategy dynamic loading, gray release, distributed parallel execution, version governance and security compliance capabilities, and ensure high cohesion and low coupling of the system; through unique strategy version management, intelligent mapping and gray release, plug-in parallel execution, multi-version consistency view, block chain audit rollback, security compliance management and control, intelligent monitoring and other technical innovations, a complex, dynamic and high-concurrency risk control business scene is effectively supported; the security, the flexibility, the expandability and the auditing performance of the decision engine are remarkably improved, and the technical advancement and the industry creativity are high.

A data acquisition method for online computing and a related device are applied to the technical field of online computing, and according to the method, a computing device is replaced by an access layer switch to realize a multi-path forwarding capability, so that quick switching recovery when a network path fails is ensured, and the failure recovery time and the backspacing frequency are reduced. And meanwhile, dynamic mapping of paths and data storage addresses is realized by applying a relative index technology, and the flexibility and efficiency of data access are improved. The access layer switch intelligently records and analyzes network requests and data forwarding conditions, and the problem of data inconsistency is solved. The upper layer switch intelligently adjusts the data processing flow according to the data forwarding amount, and network resource utilization is optimized. By adopting the method, the stability and availability of a system related to online computing are improved, and an efficient, reliable and flexible data acquisition scheme is provided for online computing.

The invention relates to the technical field of multi-thread rendering pipeline optimization, in particular to a WebGPU-oriented multi-thread rendering pipeline optimization system and method.In the system, a thread task dynamic balance adjusting module is used for dynamically adjusting thread task distribution according to a real-time tracking result of an atomic counter, and when it is detected that a thread task fails, a thread task dynamic balance adjusting module is used for dynamically adjusting thread task distribution according to the real-time tracking result of the atomic counter; and triggering an error isolation and local rollback mechanism. According to the method, a dynamic task dividing and conquering mode is adopted, rendering pipelines can be effectively split and effectively distributed to a plurality of WebWorker threads for execution, full-link parallelization of the rendering pipelines is achieved, the affinity constraint of the WebGPU threads is broken through to a certain degree, and the utilization rate of a CPU is obviously increased; and in combination with atomic state collaboration and task state linkage analysis modes, dynamic adjustment of thread tasks is realized, and the influence of load imbalance is effectively reduced.

The invention discloses a distributed centralized control data synchronization method and system, and relates to the technical field of distributed system data processing, and the method comprises the steps: detecting an abnormal event in real time in a data synchronization process, and forming a pollution domain through the expansion of an event causal graph along a dependency relationship, and an abnormal range is accurately defined by combining forward and backward traversal with a boundary truncation condition. A recovery perception graph is constructed in a pollution domain, event node recovery sensitivity and edge cutting cost are quantified, a dynamic minimum cut optimization model is established, and a minimum rollback set and a recovery range covered by the minimum rollback set are obtained. And generating a verifiable recovery proof at the boundary of the minimum fallback set, realizing independent verification of the event state, and executing fallback and replay operations after the verification is passed. And consistency synchronization of the whole system is realized. And a unified closed loop of high-precision abnormal positioning, verifiable state recovery and efficient synchronous expansion is realized.

The invention relates to a micro-service architecture system based on business function and data double isolation, and the system comprises a business function splitting module which splits a single application into independent micro-services; the data physical isolation module is used for distributing an independent database instance for each micro-service; the dynamic routing control module is used for dynamically distributing flow through a load sensing strategy and integrating a fusing mechanism; and the gray release module supports flow hierarchical diversion and abnormal automatic rollback, and ensures safe switching of service versions. According to the invention, by realizing double isolation of service functions and data, the independence and the expandability of the system are improved, and the data coupling degree and the maintenance cost are reduced; the stability and reliability of the system are ensured, and the risk in the migration process is reduced; according to the method, rapid iteration and continuous delivery can be realized, the development and deployment period of new functions is accelerated, and the user experience is improved through efficient service governance and data consistency guarantee, so that the system can better cope with challenges of high concurrent access and distributed transaction processing.

The invention relates to the technical field of edge computing and artificial intelligence model updating, and provides a cloud edge collaborative edge end equipment operator hot updating method, system and device and a medium. The method comprises the steps that a cloud detects a new version of an operator and generates an incremental update package between the new version and the old version; the edge node pulls the incremental update package and performs multiple security verification on the incremental update package; a double-instance inference engine is deployed in the edge node, operators passing verification are preloaded to a standby engine, and hot switching from an operation engine to the standby engine is achieved through a state synchronization mechanism; monitoring the running state of the new engine after switching, if the running state is abnormal, triggering a rollback mechanism, and switching back to the original engine; and optimizing edge node resources, cleaning old version operators, and reporting an update state and a resource use condition to the cloud. Core mechanisms such as differential updating, double-instance engine hot switching, multiple safety verification and dynamic resource scheduling are fused, and therefore efficient, safe and non-perceptual operator updating is achieved.

The invention discloses a network system security monitoring device, which comprises an intelligent sensing layer for scanning network traffic, logs and user behaviors by deploying AI-driven detection nodes; when a potential threat is detected, a structured alarm is generated immediately and pushed to a trusted transmission layer; the trusted transmission layer is used for generating a unique block identifier by adopting a Hash algorithm after the data integrity is verified through a consensus node; automatically triggering a repair process by using an intelligent contract; the self-adaptive decision-making layer is used for synchronizing configuration, flow and vulnerability states of physical equipment; after the vulnerability information is received, simulating various repair schemes in a virtual environment, evaluating the influence of the schemes on services, dynamically adjusting the priority, generating an optimal strategy, and pushing the optimal strategy to the automatic execution layer; the automatic execution layer is used for automatically executing and monitoring the repair progress through an agency-free technology after receiving the repair instruction of the self-adaptive decision-making layer, and triggering a rollback mechanism and generating a fault report if abnormity is detected; and after repairing is completed, a verification script is automatically generated.

The invention discloses a low-code platform-oriented distributed transaction engine generation method and system and a medium, mainly relates to the technical field of engine generation, and is used for solving the problems of high transaction model selection error rate, low compensation logic development efficiency and poor static strategy adaptability of an existing low-code platform. Comprising the following steps: acquiring a business process, converting the business process into a 128-dimensional feature vector, and determining a corresponding CART decision tree type; inputting the 128-dimensional feature vector into a corresponding CART decision tree to generate a transaction execution plan; inputting specific data of preset core features into the TD3 model, and generating transaction submission intervals and resource allocation data of transactions in the transaction execution plan; collecting a transaction rollback log corresponding to the transaction execution plan, encoding the transaction rollback log into a 512-dimensional semantic vector, and inputting the 512-dimensional semantic vector into the LSTM model to obtain a compensation code; and when the compensation code is updated, injecting the updated compensation code into the runtime environment through a code instrumentation technology.

The invention discloses an interaction state backtracking and semantic reconstruction system based on a user operation log. The system comprises an operation log recording module which is used for capturing interactive operation of a user in an interface in real time and generating an event log with a timestamp; the state backtracking module is used for recovering the interactive semantic state of any time node according to the log; the semantic reconstruction module is used for allowing a user to derive a new interaction path on the basis of the backtracking state so as to realize branch evolution of a semantic structure; and the user control confirmation module is used for providing a confirmation mechanism in the state recovery and reconstruction process to ensure that final execution is triggered by a user. The technical problems that an existing system lacks historical operation tracking, and semantic rollback and reconstruction are difficult to carry out are solved.

The invention relates to a hot update control method and system for an industrial PLC (Programmable Logic Controller) of a microkernel operating system, belonging to the field of industrial controllers. A shadow instance is created by an isolated address space and is bound with a shadow I / O (Input / Output) mirror image and a shadow communication stack; capturing a containment point in the scanning period, wherein the containment point is located between input sampling completion and output submission; acquiring running state information from the current network instance, converting the running state information, and transmitting the converted running state information to the shadow instance; pre-operating the shadow instance in the isolation channel in an accelerated or constant-speed manner, and switching the I / O channel from the current network instance to a shadow I / O mirror image of the shadow instance at the next restraint point if the verification is passed; and continuing to run in parallel for a certain period, unloading the old instance if the continuous running is qualified, and executing rollback if an exception occurs. Depending on a microkernel operating system, shadow instances are drilled and switched under the controlled priority, the real-time performance and certainty are met, the time delay defect of periodic gap switching is overcome, and updating and switching are completed in a single scanning period or a plurality of scanning periods in an atomic mode.

The invention discloses a BMS (Battery Management System) double-partition collaborative flashing method and system and electronic equipment. Relates to the field of program flashing. A BMS storage area is divided into a first bootstrap program area, two independent bootstrap program partitions and two independent application program partitions, an effective flag bit and a program version number are set for each partition, and state judgment of a partition type arbitration mechanism and a program flashing flag bit is combined, so that the application program is flashed and written, and the application program is flashed and written. A complete process from system starting, partition selection and flash control is constructed. According to the scheme, independent dual-backup management of the bootstrap program and the application program is realized, and when any flash fails or the program is abnormal, a runnable stable version is kept all the time; the technical problems of system paralysis, rollback mechanism deficiency, irreversible upgrading process and the like caused by flashing failure in a traditional single-partition or single-side dual-backup architecture are effectively solved, and the reliability, the safety and the fault-tolerant capability of BMS software updating are remarkably improved.

The invention discloses a target equipment upgrading method and device based on an equipment grading strategy, equipment, a medium and a product, and relates to the field of mobile terminal software upgrading, and the method comprises the steps that a server collects hardware features of target equipment and automatically grades the equipment by using a K-means clustering algorithm; generating a differential OTA upgrade package based on the grading result; segmenting the differential packet into data fragments with fixed sizes, and generating a hash value and a digital signature for each fragment; the equipment end downloads one by one, verifies integrity and signatures in real time, and supports breakpoint resume; the server side predicts the OTA upgrade failure risk through the trained random forest model, and dynamically adjusts a push strategy; the equipment adopts an A / B partition mechanism to realize safe rollback; in a non-secure network environment, the server and the device cooperatively generate a temporary key based on a device ID and a timestamp to encrypt and transmit fragments. The volume of the upgrade package is effectively reduced, the transmission efficiency is improved, the security is enhanced, and the upgrade failure rate is remarkably reduced.

The invention relates to the technical field of block chain smart contracts, and provides a smart contract automatic execution system and method based on a block chain technology. In order to solve the problems that in the prior art, out-of-chain event verification is fragile, cross-contract atomicity is lacked, and resource management and control are insufficient, the system comprises a multi-mode under-chain event verification module, and a tamper-proof data channel is established through an Internet of Things hardware anchor point and an anti-collusion oracle; the autonomous execution engine is integrated with a resource awareness scheduler and an out-of-chain computing adapter; the transaction atomicity guarantee module is used for realizing cross-contract rollback by adopting a global snapshot tree and an intelligent compensation contract; the governance arbitration interface supports anonymous dispute resolution. The method comprises the steps of out-of-chain event multi-level verification, voucher execution queue management and sandbox resource isolation control. Credible collaboration inside and outside the chain is realized, the execution reliability is improved by more than 90%, and the contract development cost is reduced by 40%.