53 results about "Stochastic algorithms" patented technology

The invention provides a high-precision modeling method of a porous metal material based on a random algorithm and application of the high-precision modeling method in electrothermal mechanical performance simulation of a material, and relates to the technical field of artificial intelligence algorithms, and the method comprises the following steps: reconstructing and optimizing an initial reconstruction model of the porous metal material based on the random algorithm to obtain a three-dimensional reconstruction model; performing slice analysis on the three-dimensional reconstruction model, and determining whether an analysis result meets a precision error standard or not; and if yes, outputting a three-dimensional reconstruction model. By reconstructing and optimizing the initial model, the three-dimensional structure of the porous material can be accurately simulated, and high-precision modeling of the porous metal material is achieved. And pore seeds are generated through a random algorithm and grow, so that the randomness and authenticity of the model are ensured. And the reliability of the model is further improved by setting the precision error standard, and the precision of the porosity and the aperture is ensured. The error problem in the porous metal material modeling process is effectively solved, and a solid foundation is provided for high-precision simulation and material performance prediction.

The invention provides a hybrid level enhanced random algorithm based on double-loop optimization and a cross-platform implementation method thereof, and belongs to the technical field of modeling and parameter, and the method comprises the following steps: S1, initialization; s2, setting algorithm parameters; s3, executing internal circulation, and executing local search under a fixed threshold value; s4, judging constraint conditions; when there is no constraint condition, generating a candidate solution; s5, calculating a target function value; s6, judging updating of the matrix according to the target function value; s7, returning to an outer loop, and adjusting a threshold value Th according to the frequency for receiving the new design and the number of iterations; s8, after M iterations are completed, the acceptance rate and the improvement rate are calculated; s9, updating the threshold value Th; and S10, judging a condition for stopping iteration. According to the method, the problems that a general construction method is lacked, local optimum is easy to sink and cross-platform deployment is difficult to realize in a multi-factor mixing level test design are solved.

The invention discloses an electric power data analysis and encryption method and system and a storage medium, and relates to the technical field of electric power data. Scanning and processing the electric power data; obtaining a database, converting the power data, and obtaining readable data; scanning the readable data, and disordering the readable data by using a random algorithm to obtain disordered data; acquiring an encrypted public key and an encrypted private key according to the disordered data; encrypting the disordered data according to the encryption public key and the encryption private key; a random operator of a random algorithm is extracted, an AES algorithm is utilized to encrypt the random operator, a symmetric encryption mode and an asymmetric encryption mode do not need complex hardware support or a special software environment, and a generated key is compatible with an existing encryption standard and protocol, so that the method can be seamlessly integrated with other encryption systems; and the overall efficiency and effect of data protection are improved, so that the overall data processing capability of the system is ensured.

The invention relates to the technical field of rail transit engineering, and discloses a rail transit interval water supply and drainage and fire-fighting intelligent design method and system, and the method comprises the steps: S1, candidate point presetting: in a rail transit interval, presetting a plurality of candidate installation points of fire-fighting and drainage equipment according to interval geometric parameters, evacuation streamlines and standard requirements, candidate point set data is formed; s2, fire working condition simulation: generating a plurality of fire working conditions based on a random algorithm, and performing fire scene simulation for the working conditions; s3, hydraulic calculation and environment checking; s4, performing optimization iteration; s5, performing multi-objective optimization; and S6, carrying out digital twinborn verification. A digital twinborn model is established based on BIM and GIS, a Pareto solution set is mapped into a three-dimensional scene, dynamic simulation and reasoning check are carried out in combination with CFD and hydraulic data, and real-time monitoring data of a sensor can be fused, so that it is guaranteed that an equipment arrangement scheme can meet standard constraints, and feasibility and safety of the equipment arrangement scheme can be continuously checked in the operation process.

The invention provides an intelligent short message sending method and system, and belongs to the technical field of communication. The method comprises the following steps: acquiring configuration information of each short message supplier from a configuration database, wherein the configuration information comprises an initial weight ratio, a supplier starting state and an available channel number; screening out available suppliers according to the configuration information; dynamically adjusting the weight ratio of each available supplier according to the short message service type; selecting a supplier through a weighted random algorithm according to the adjusted weight ratio of each available supplier; based on the short message service type, matching an optimal short message content template through a preset template mapping library, and performing template filling by using data uploaded by an external system to obtain a short message to be sent; and calling the selected supplier to send the short message to be sent. According to the invention, the short message supplier is intelligently matched according to the actual short message service demand, and the efficient and accurate sending of the short message is realized.

The invention relates to a dynamic collaborative deployment method and system for unmanned cluster tasks. The nodes of a cluster are divided into main nodes and sub-nodes; each node comprises a cluster communication module, a task component management module, a task component and a task component distribution table, and the method comprises the following steps: a cluster initialization stage: firstly, selecting a certain node as a main node through an election algorithm, distributing the task component by the main node according to a random algorithm, entering a task deployment stage, and executing a task deployment stage; the method comprises the following steps: determining a required task component by a child node according to the task requirement, safely deleting part of the task component from the node according to an elimination algorithm after the task is completed, updating a task component distribution table of the node, and entering a main and child node re-backup stage if the main and child nodes are lost. The problem of how to keep high efficiency, reliability and fault-tolerant capability in the unmanned cluster task deployment method under the weak communication condition is solved, and automatic, intelligent and efficient deployment of the task of the unmanned cluster under the weak communication condition is realized.

The invention is suitable for the technical field of intelligent control, and particularly relates to an intelligent control method and system of an industrial personal computer, and the method comprises the steps: setting a virtual model of the industrial personal computer at a cloud; identity verification is carried out, the virtual model is loaded through an external device, and a currently used variation function is sent to the external device at regular time through the cloud; generating a transition function through a random algorithm, obtaining to-be-transmitted data, and converting the to-be-transmitted data through the transition function to obtain transition data; and performing secondary conversion on the transition data through the variation function to obtain plaintext data, and synchronously transmitting the plaintext data and the transition function to the data receiver by the data sender through the cloud to complete the data transmission. According to the method, the data needing to be transmitted are converted, and the original data are replaced by the transition function and the plaintext data which are not directly associated with the data to be transmitted, so that the data security is improved, the data does not need to be additionally encrypted and transmitted, and the equipment control security is ensured.

The present application discloses a communication control method and apparatus, which is applied to a first device and includes: generating a first character string according to a random algorithm; processing the first character string according to a version identifier of a first key negotiation configuration file to obtain verification information and a first configuration item; generating a key negotiation request message according to at least the first character string and the verification information; sending the key negotiation request message to a second device, and the second device processing the first character string according to the version identifier of a second key negotiation configuration file to obtain a second configuration item when the second device passes the legitimacy verification of the verification information; encrypting a communication key according to a corresponding encryption and decryption key using an encryption and decryption algorithm corresponding to the second configuration item to generate a key negotiation confirmation message; the first device receiving the key negotiation confirmation message sent by the second device; and decrypting the communication key in the key negotiation confirmation message according to the first configuration item.

The encryption method, device, computer equipment and storage medium for sensitive information proposed by the present invention, wherein the method includes: obtaining specified data; selecting sensitive fields that need to be encrypted from the specified data, and annotating and marking the sensitive fields to obtain marked identification data; intercepting a first string of a preset length from a preset managed password according to the identification of the identification data, obtaining a second string from a preset Git repository, and randomly generating a third string through a random algorithm; combining the first string, the second string and the third string according to a specified rule to obtain an encryption password; encrypting the identification data and the encryption password through a preset encryption algorithm to obtain encrypted data with the sensitive fields encrypted, which can improve the security of data, eliminate the chance for any party such as development and operation and maintenance to view sensitive data, and effectively ensure the integrity of data and user privacy.

The embodiment of the invention provides an attack and defense drilling method, device and equipment based on chaos engineering, a medium and a product. The method comprises the following steps: acquiring a first chaotic fault scene by using a random algorithm; acquiring a to-be-detected fault matched with the first chaotic fault scene from a predetermined to-be-detected fault range; wherein one to-be-detected fault corresponds to one fault weight; capturing system state parameters in real time in the process of executing the to-be-detected faults based on the sequence of the fault weights from large to small; degrading the fault weight of the to-be-detected fault after execution, and adding the degraded to-be-detected fault into the to-be-detected fault range again; when a completion instruction is detected, effect verification and system repair are carried out based on the system state parameters, and a verification result and a repair result are obtained; and outputting a chaos test summary report based on the verification result and the repair result. According to the method, the comprehensiveness and accuracy of evaluation are improved, and reliable support is provided for optimization and improvement of the system.

The invention relates to a method and a system for randomly selecting questions and identifying answers based on a dynamic library file, and relates to the technical field of data processing. A material library, a vocabulary library and a selected question library are pre-constructed, so that an intelligent terminal participating in a network program obtains a target material library, a target vocabulary library and a target selected question library; the method comprises the following steps: according to a random algorithm, randomly selecting corresponding target materials, keywords and the like according to the random algorithm to obtain randomly selected questions and randomly combined options, and displaying the questions and the options on an intelligent terminal, so that a user participating in a network program can answer questions and display corresponding prompt statements or jump objects after the answers are correct, thereby realizing display of preset contents; by adopting the technical scheme, questions and answers are generated intelligently, manpower is saved, meanwhile, needed preset content can be displayed after answering, and the publicity is improved; in addition, according to network updating, the three library files can be updated in real time, and the applicability of the files is improved.

The application discloses a stratum attribute value determination method, device and computing equipment. The method comprises the following steps: acquiring a first number of groups of adjacent well stratum attribute value distribution data of a target well logging, and generating a first number of attribute value reference sequences; using a random algorithm to generate a derived sequence set under the constraint of each attribute value reference sequence of any inversion stratum depth, each derived sequence set comprising a second number of attribute value derived sequences; taking any derived sequence set as an initial model vector, using a random gradient evolution hybrid optimization algorithm to perform inversion on the well logging data of the inversion stratum depth to obtain an inversion result set, each inversion result set comprising a third number of inversion results; and determining a target inversion result corresponding to the inversion stratum depth from the inversion results. The scheme can improve the inversion accuracy and efficiency of the stratum attribute value.

The invention relates to a flexible production line equipment collaborative energy-saving control system based on a random ADMM, and the system comprises a multi-dimensional energy consumption sensing module which is used for collecting the time sequence power data, equipment state transition data and environment parameter data of equipment in a production line; the data transmission module is used for transmitting the time sequence power data, the equipment state transfer data and the environment parameter data to the central control system; the central control system is internally integrated with a cross-industry federated learning module which is used for carrying out federated learning and collaborative optimization of multi-source energy consumption data based on a privacy protection mechanism; the non-convex optimization model is used for performing non-convex optimization solution on the equipment start-stop strategy by adopting a random ADMM algorithm to generate a global optimal equipment start-stop strategy; and the dynamic correction module is used for receiving the collaborative optimization data and the global optimal equipment start-stop strategy, carrying out fusion analysis and optimization calculation, and then feeding back the optimized final control strategy to a production line execution mechanism so as to regulate and control the start-stop state of the production line equipment.

The invention discloses a DAG-based block chain consensus method, which ensures the uniqueness and availability of blocks in a DAG by constructing a reliable broadcast algorithm under a new hybrid model. And meanwhile, throughput is improved by utilizing a DAG structure, a rapid confirmation path is fused and added to realize rapid confirmation and reduce delay, and then the activity of the protocol is ensured through a coin confirmation path. According to the method, a main-free design is introduced into a hybrid algorithm design, a multi-proposal architecture is adopted, block relationships of blocks of proposals are structured through a directed acyclic graph (DAG), and the activity and security of a system are ensured by using a random algorithm and a time hypothesis. In addition, by introducing a rapid confirmation condition, the delay is reduced while the throughput capacity of the protocol is ensured. The consensus of the blocks can be completed in the fastest four rounds of communication, and most of the blocks can complete the consensus of the blocks in the six rounds of communication, so that the low time delay of the block consensus process is ensured, and the responsiveness of the system is improved.

The application provides a ship voyage track generation method based on STK and MATLAB combined simulation, comprising: setting a random seed, initializing an STK environment through MATLAB, and loading a set simulation scene; under the simulation scene, randomly selecting a ship model needing to be simulated, and setting a corresponding type, attribute and speed for each ship model; using a random algorithm to generate a starting point and an ending point of each ship model, using an interpolation method to generate continuous and diverse path points, and through dynamic propagation of the path points, updating a voyage track of the ship model in real time. The application not only improves the efficiency and practicability of the voyage track simulation, but also greatly improves the convenience and accuracy of the voyage track data analysis through automatic data processing and output functions, and is suitable for fields of ocean research, navigation safety evaluation, channel planning, military and education training and the like.

A structural damage identification method based on random sparse regularization comprises the following steps: S1, establishing a finite element model of a to-be-identified damage structure, dispersing the structure into a finite number of units, setting a damage working condition, and simulating the damage working condition; s2, performing modal analysis, calculating a stiffness matrix and a mass matrix of the structure, adding boundary conditions, and solving feature values and feature vectors; s3, constructing an objective function of damage identification; s4, introducing an l1 / 2 regularization optimization method, and establishing a structural damage identification equation; s5, introducing a random class algorithm, optimizing and solving the structural damage identification target equation, and obtaining a solution vector; and S6, determining the damage position and the damage degree in the structure according to the solution vector of the damage identification equation. According to the method, the damage position can be quickly positioned, the damage degree can be accurately quantified, the accuracy of a damage identification result is improved, and the identification time of damage identification is shortened.

The invention discloses a three-dimensional wire harness wiring method and system and a medium, and relates to the field of wire harness layout. The method comprises the following steps: acquiring a three-dimensional space region to be wired, equipment coordinate information and an equipment connection relationship; dividing the three-dimensional space area into a plurality of sections along a preset main wiring direction to obtain a section set, and determining an initial section of the section set; based on the equipment coordinate information and the equipment connection relationship, determining a plurality of wires passing through the initial cross section, and obtaining a target wire set of the initial cross section; generating an initial channel group of the initial section through a first random algorithm based on the traverse information of the target traverse set; based on the initial channel group, determining a target wiring solution of the initial cross section through a simulated annealing algorithm; based on the target wiring solution of the initial section, determining the target wiring solution of the target section according to a preset main wiring direction sequence; and based on the target wiring solution corresponding to each section, determining a wiring harness wiring result of the three-dimensional space region. According to the invention, the accuracy of three-dimensional wiring harness wiring can be improved.

A three-dimensional wire harness wiring method, system and medium relate to the field of wire harness layout. The method comprises: obtaining a three-dimensional space region to be wired, device coordinate information and device connection relationship; dividing the three-dimensional space region into multiple cross sections along a preset main wiring direction to obtain a cross section set, and determining a starting cross section of the cross section set; determining a plurality of wires passing through the starting cross section based on the device coordinate information and the device connection relationship to obtain a target wire set of the starting cross section; generating an initial channel group of the starting cross section by a first random algorithm based on the wire information of the target wire set; determining a target wiring solution of the starting cross section by a simulated annealing algorithm based on the initial channel group; determining a target wiring solution of a target cross section in sequence according to the preset main wiring direction based on the target wiring solution of the starting cross section; and determining a wire harness wiring result of the three-dimensional space region based on the target wiring solution corresponding to each cross section. The application can improve the accuracy of three-dimensional wire harness wiring.

This invention discloses a privacy information retrieval method and system, comprising: data digest extraction; preprocessing the database index before data retrieval to privatize client query requests; a first server storing the indexes of n data points from a public database DB in an array of l rows * m columns, arranging the elements of each subarray using a random algorithm to obtain random permutation groups; performing column-wise operations on each random permutation group to obtain m data digests; querying and responding; when a client wants to query data with index x, calculating the corresponding data digest, constructing a request that does not expose the real query using the data digest, and sending it to a second server; state reset; the data digest represents the latest state of the current retrieval method, and the state of the data digest is reset after each data retrieval; and re-performing the query and response tasks after the state reset. This invention will help promote privacy information protection in fields such as healthcare, finance, and media recording.

The invention relates to the technical field of biological information, in particular to a genetic rate estimation method and system for sequencing data, a computer device and a computer program product. And representing phenotypic data of the concerned character as y = X beta + e, calculating a matrix trace of a genetic relationship matrix by adopting a Girard-Hutchinson random estimation method, and estimating the genetic rate according to a formula when judging that the sequencing data are from the same data source. The invention provides an optimized heredity estimation method, through a controllable random algorithm, on the premise of balancing calculation precision and calculation amount, the heredity can be solved under sample amount increase, especially under a million-level sample scale, and especially under a moment estimation framework, full-sample calculation can be used, large-scale data can be efficiently processed, sample loss is avoided, and the calculation efficiency is improved. And calculation precision is maintained.

The application discloses a wild bird irregular silent feeding device and method in the technical field of wild animal protection, which comprises a moving device, a control device and a lifting piece are arranged on the moving device, a rotating disc and a driving device for driving the rotating disc to rotate are arranged on the moving end of the lifting piece, the control device comprises a control unit and a random algorithm unit, a storage tank is arranged in the rotating disc, a silent discharge pipe for being communicated with the storage tank is arranged on the side wall of the rotating disc, and the control unit of the control device controls the driving device, the moving device and the lifting piece to start based on the random time interval generated by the random algorithm unit of the control device, so that the feeding device can irregularly feed, the randomness and uncertainty of food in a natural environment can be effectively simulated, the migratory birds cannot form a fixed expectation for feeding time, and thus the dependence behavior of the migratory birds can be prevented.

Embodiments of the present application provide a chaos engineering-based attack and defense drill method, device, equipment, medium and product. The method comprises: obtaining a first chaos fault scene using a random algorithm; obtaining a to-be-tested fault matching the first chaos fault scene from a predetermined to-be-tested fault range; wherein one to-be-tested fault corresponds to one fault weight; in the process of executing the to-be-tested faults in the order of fault weights from large to small, real-time capture of system state parameters; downgrading the fault weight of the to-be-tested fault that ends execution, and re-adding the downgraded to-be-tested fault to the to-be-tested fault range; when a completion instruction is detected, effect verification and system repair are performed based on the system state parameters to obtain verification results and repair results; and a chaos test summary report is output based on the verification results and the repair results. The present application improves the comprehensiveness and accuracy of evaluation, and provides reliable support for optimization and improvement of the system.

This invention discloses a method, device, and storage medium for robotic arm motion planning in random and chaotic environments, relating to the field of robot control technology. The method includes: constructing a forward kinematics model of the robotic arm and a workspace obstacle model; constructing an initial geometric reference path and generating an end effector reference trajectory; constructing a joint space configuration domain; using a bidirectional fast expanding stochastic algorithm to expand the sampling nodes of the initial geometric reference path and generate a time-parameterized reference joint trajectory; constructing a safety corridor and a quality-unified objective function; employing a metaheuristic optimization algorithm, using the end effector reference trajectory and the time-parameterized reference joint trajectory, iteratively solving to minimize the quality-unified objective function to obtain optimized control point offsets and time allocation parameters, and outputting the optimized joint trajectory and end effector trajectory. This invention can output high-quality robotic arm motion trajectories that meet industrial-grade safety and execution quality requirements.

The present invention discloses a process query method and system based on digital relocation, including: S1: when a user initiates a query request, a query task is created according to the user's query conditions, and the task is added to the query queue to wait for processing; the task is decomposed, and the query task is decomposed into multiple subtasks through a distributed framework, and the subtasks are assigned to different nodes for processing through a random algorithm; a monitoring mechanism is established, and the operating status of each node is monitored through the monitoring mechanism; when a node is found to have a fault, the subtasks of the faulty node are transferred to the nearest edge node for processing; this is conducive to making full use of the computing resources of each node, improving the processing speed and throughput of the system; reducing the resource occupancy rate of a single node, thereby avoiding the emergence of resource bottlenecks and further improving the scalability of the system.

The present invention relates to a robot vision-guided grasping method. The method comprises inputting a pattern of a workpiece to be grasped and generating a virtual image of the workpiece through a virtual engine. The images collected by the visual system are cropped and spliced, and a random algorithm is used to generate uniformly distributed images of the workpiece at different positions. The image is optimized using a cycleGAN network, and a gradient loss function and a multi-channel hybrid attention mechanism are introduced to improve the image clarity of the detection model, as well as the learning efficiency and generation effect. The YOLOv7 algorithm is used to predict key points on the workpiece surface, and the proposed GeIOU function is used as the loss function to improve prediction accuracy. The EPnP algorithm is used to convert the key points on the workpiece surface into positional key points, and the grasping position is calculated through 6DOF pose calculation. The method improves the learning efficiency and generation effect of the network through the gradient loss function and the multi-channel hybrid attention mechanism, while eliminating the grayscale difference between the workpiece and the background in the spliced ​​image while ensuring the clarity of the generated image.

This invention relates to the field of intelligent control technology, and particularly to an intelligent control method and system for industrial control computers. The method includes: setting up a virtual model of the industrial control computer in the cloud; performing authentication; loading the virtual model through an external device; periodically sending the currently used variable function to the external device via the cloud; generating a transition function using a random algorithm and obtaining the data to be transmitted; transforming the data to be transmitted using the transition function to obtain transition data; performing a secondary transformation on the transition data using the variable function to obtain plaintext data; and having the data sender synchronously transmit the plaintext data and the transition function to the data receiver via the cloud to complete the data transmission. This invention transforms the data to be transmitted, replacing the original data with a transition function and plaintext data that are not directly related to the data to be transmitted, thus improving data security. It eliminates the need for additional data encryption during transmission, ensuring the security of device control.

The invention discloses a pseudo-random prediction-based quantum bit waveform parameter dynamic configuration method and system, and relates to the technical field of superconducting quantum calculation measurement and control, and the method comprises the steps: a configuration execution circuit decodes prediction code words generated on a chip to obtain a parameter group index, the prediction code words are generated by a pseudo-random prediction engine, and the parameter group index is generated by a pseudo-random prediction engine; the pseudo-random prediction engine receives externally input seed data by using a seed stack and executes a pseudo-random algorithm in real time by using a real-time prediction module, and a pseudo-random numerical value obtained by prediction serves as a prediction code word corresponding to a measurement and control waveform of next quantum logic gate operation in a quantum bit line according to a set rule; parameter group indexes are used for carrying out parallel search in a parameter lookup table of a configuration execution circuit, all parameter data values corresponding to the parameter group indexes can be output after a clock period, and therefore quantum bit measurement and control waveforms mapped by the parameter data are dynamically configured. The parameter dynamic configuration method and system aim at achieving efficient and low-delay quantum bit measurement and control waveform configuration.

The invention discloses a rapid generation method of a random double-aggregate reinforced concrete grid model. The rapid generation method comprises the following steps: Step 1, generating a concrete regular hexahedron grid model by adopting finite element grid division software; 2, steel bars are created on the basis of the concrete hexahedral mesh model, and reinforced concrete interface units are generated; step 3, constructing a quantity and quality database of a plurality of types of aggregates, and endowing each component with a material part attribute; step 4, randomly selecting different types of aggregates in the concrete area according to the grading quantity proportion, and avoiding aggregate overlapping through a random algorithm; and Step 5, merging and outputting a finite element mesh model file. According to the method, random distribution and non-overlapping generation of the aggregate are achieved, the tedious process of traditional manual adjustment is avoided, the generation speed of the method is increased by 50% or above, meanwhile, efficient random algorithms such as randperm are adopted for rapidly extracting the aggregate, calculation time is greatly shortened, and efficient construction of a large-scale model (such as one million units) is supported.

This invention provides a high-precision modeling method for porous metallic materials based on a stochastic algorithm and its application in simulating the electrothermal-mechanical properties of materials. It relates to the field of artificial intelligence algorithm technology. The method includes: reconstructing and optimizing an initial reconstruction model of the porous metallic material based on a stochastic algorithm to obtain a three-dimensional reconstruction model; performing slice analysis on the three-dimensional reconstruction model and determining whether the analysis results meet the accuracy error standard; if they do, outputting the three-dimensional reconstruction model. By reconstructing and optimizing the initial model, the three-dimensional structure of porous materials can be accurately simulated, achieving high-precision modeling of porous metallic materials. Generating and growing pore seeds using a stochastic algorithm ensures the randomness and realism of the model. The setting of the accuracy error standard further improves the reliability of the model, ensuring the accuracy of porosity and pore size. This effectively solves the error problem in the modeling process of porous metallic materials, providing a solid foundation for high-precision simulation and material performance prediction.

The application discloses a method and a transaction execution device for improving the execution speed of a blockchain smart contract transaction, which comprises the following steps: identifying all global counters of a global variable type which is prone to cause read-write conflicts according to the application type of the original read-write conflict in an application; dividing each identified global counter into multiple sub-counters; when a blockchain smart contract transaction arrives, distributing the blockchain smart contract transaction to one of the corresponding sub-counters according to a predetermined random algorithm, and obtaining the counting value of the corresponding sub-counter; and when the real-time value of the global counter is needed, adding the counting values of the multiple sub-counters. Therefore, the application effectively reduces the probability of read-write conflicts in the parallel execution process of the smart contract, thereby greatly improving the speed of the parallel execution transaction of the smart contract.