21results about How to "Automate execution" patented technology

The invention relates to the field of legal service management, and discloses a legal service management system based on a block chain, and the system comprises the following modules: a block chain network, an intelligent contract module, a data storage module, a user interface module, a feedback and monitoring module and a user management module, the non-tampering property and the transparency are ensured; the intelligent contract module automatically executes contract terms and supports intelligent management; the data storage module adopts a hierarchical structure, and on-chain data and off-chain data are stored in a distinguished manner, so that the storage and access efficiency is optimized; and the user interface module provides user-friendly operation experience through a visual tool. By using the block chain technology, all contract execution and compliance audit data are encrypted and stored in a distributed mode, it is ensured that tampering is avoided and whole-course traceability is achieved, and a user and related mechanisms can verify the authenticity and integrity of the contract data at any time.

The invention provides an automatic software testing method and system based on a visual attention mechanism, and relates to the technical field of automatic testing, and the method comprises the steps: obtaining an initial interface of to-be-tested software, carrying out the preprocessing, inputting an enhanced interface image into an interface detection model, and recognizing control information through the analysis of the enhanced interface image; inputting the control information into a pre-trained attention mechanism model, generating semantic association and context information between controls based on the control information, determining an execution sequence and execution parameters of test actions, sequentially simulating manual test actions, and performing test operation on the controls according to the execution parameters; interface feedback information of the to-be-tested software is obtained, text content in the interface feedback information is extracted based on a character recognition algorithm, semantics corresponding to the text content are determined in combination with a pre-constructed semantic understanding model and compared with a preset expected result, and a test conclusion corresponding to the test operation is generated.

The invention relates to the technical field of data management methods, in particular to a bid inviting data management method and system based on a block chain. According to the technical scheme, the system comprises a data storage module, a network communication module, an intelligent contract module, a user interface module and a data backup and recovery module. Through a block chain distributed account book technology and an asymmetric encryption algorithm, data integrity, authenticity, confidentiality and security are improved, and data are prevented from being stolen or tampered; the bid invitation data management system based on the block chain enables the bid invitation data to be traced by authorized parties, and the transparency and fairness of the bid invitation process are improved; meanwhile, automatic execution of a bid invitation process is realized through an intelligent contract, efficiency and fairness are improved, transaction cost and risk are reduced, transparency and credibility of the bid invitation process are enhanced, and availability and integrity of bid invitation data and stable operation of a block chain network are ensured and Byzantine node risk is resisted based on a P2P network architecture and a PBFT algorithm.

The invention discloses a model training method and device, equipment, a storage medium and a product, and relates to the technical field of artificial intelligence, and the model training method comprises the steps: receiving task demand data used for model training; sending a training request instruction corresponding to the task demand data to a preset large model, reasoning the task demand data based on the preset large model, and generating a training code and a recommended target algorithm; and extracting training set data from the task demand data, and performing iterative training on the target algorithm through the training code and the training set data to obtain a trained small model. According to the invention, the small model training process is automatically executed.

The invention relates to the field of flow engine establishment and defect detection, in particular to a flow establishment and detection method based on Flowable engine execution, which comprises the steps of S1, defect detection task creation based on a Flowable engine, S2, chip detection preparation, S3, defect detection execution, S4, detection result analysis, S5, defect processing and S6, report generation and auditing. Through automatic and intelligent process management, the efficiency and accuracy of defect detection are improved.

The invention relates to the technical field of intelligent financial management, and provides a financial digital employee safety management system based on a block chain, and the system comprises a system initialization module which is used for deploying block chain nodes, configuring safety parameters, registering digital employees, and making preparations for the operation of a financial digital system; the identity authentication and authorization module is used for the user to log in a personal account and limiting the access level of the user; the data encryption and storage module is used for data encryption, storage and backup; and the intelligent contract execution module is used for intelligently compiling and formulating the financial contract and monitoring the execution condition of the contract. The business rule is written into the smart contract in the form of the code, automatic execution of the transaction is realized, the transaction efficiency and accuracy are greatly improved, meanwhile, the non-tampering characteristic of the smart contract ensures the fairness and transparency of the transaction, the transaction risk is reduced, the execution process of the smart contract is audited, and the transaction efficiency is improved. And execution of the smart contract is ensured to accord with preset rules and laws and regulations.

The invention discloses a method, a system and equipment for troubleshooting a communication terminal of an all-moving simulator, and belongs to the technical field of aviation simulation equipment fault diagnosis. The method comprises the following steps: acquiring data of a communication terminal operation state, an input / output system state and a central control console environment state, synchronizing time, and constructing a time sequence feature vector through denoising normalization processing; inputting a Kalman filtering state space model to calculate an observation residual error, and distinguishing a fault source and interference characteristics; identifying a fault type by using an integrated decision tree classification model, positioning a target fault point in combination with a fault tree and a Bayesian network, and matching historical cases to generate a troubleshooting scheme; after troubleshooting is completed, the fault case library is updated, and the model is optimized. According to the scheme, intelligent and standardized troubleshooting of faults is achieved, the problems that a traditional method is low in efficiency and poor in accuracy, and fault sources are difficult to distinguish are solved, the troubleshooting efficiency and accuracy are greatly improved, the operation and maintenance cost is reduced, and stable operation of the full-motion simulator is guaranteed.

The present invention relates to the field of vacuum coating technology, and specifically to a composite current collector evaporation aluminum coating process parameter optimization method and system, the composite current collector evaporation aluminum coating process parameter optimization method, comprising the following steps: obtaining a first temperature, the first temperature is the temperature of the aluminum film layer during the evaporation process; based on the first temperature, obtaining a first thermal stress, the first thermal stress is the thermal stress value of the aluminum film layer during the evaporation process; obtaining a second temperature, the second temperature is the temperature of the substrate layer during the evaporation process; based on the second temperature, obtaining a second thermal stress, the second thermal stress is the thermal stress value of the substrate layer during the evaporation process; according to the first thermal stress and the second thermal stress, adjusting the output power of the heat source. The present invention calculates the thermal stress value of each film layer respectively through the temperature of the aluminum film layer and the substrate layer, and then dynamically adjusts the output power of the heat source according to the difference in thermal stress values, so that the thermal stress difference between the two film layers is maintained within a controllable range.

The application relates to the technical field of automation operation and maintenance, and discloses an intention recognition method and system based on dynamic ontology evolution and multi-agent, which comprises the following steps: receiving a natural language instruction, performing entity extraction and probabilistic linking by using a dynamic ontology knowledge base, and generating an initial intention based on predicate analysis; automatically completing missing key slots by using a probabilistic graph model, and generating a standardized intention; decomposing the standardized intention into an atomic subtask sequence, dynamically matching an execution agent based on an agent capability-demand matrix, generating a collaborative workflow, controlling the execution agent to call an atomic tool to execute a task, performing causal correlation analysis on multi-source results according to logical relations between ontology instances, generating a structured reasoning chain, and feeding back; and extracting a new treatment script based on execution feedback by using an evolution engine, and updating an ontology knowledge base and an agent confidence degree. The application can realize accurate understanding, automatic execution and adaptive evolution of a knowledge base of a fuzzy operation and maintenance intention.

This invention discloses an evaluation method for an autonomous driving trajectory planning module, comprising the following steps: obtaining the trajectory planning results generated by the trajectory planning module under test and reference results for comparison; traversing all trajectory points of each trajectory in the trajectory planning results under test, comparing the velocity, lateral acceleration, longitudinal acceleration, lateral jerk, and longitudinal jerk of each trajectory point with the set limits for each item respectively; if at least one item exceeds the set limit, recording and storing the relative time on the trajectory of that trajectory point and the output time of the trajectory where that trajectory point is located; comparing each trajectory in the trajectory planning results under test with the reference trajectory corresponding to the same time in the reference results to obtain the difference between the two; calculating the index scores for each item based on the difference and the set scoring weights; and weighting the index scores of each item for each trajectory to obtain the evaluation score for that trajectory.

This application relates to a method for cross-border digital certificate mutual recognition based on dynamic trust anchors, comprising: collecting and preprocessing multi-dimensional trust assessment data of cross-border certificate authorities; collaboratively training a global model using federated XGBoost combined with a scenario-based attention mechanism to output a real-time trust score; constructing a hierarchical dynamic trust chain based on the score and writing the evidence data into the blockchain; generating proofs based on the Groth16 algorithm to complete certificate verification under privacy protection; deploying smart contracts to execute trust warnings, dispute arbitration, and rule updates; monitoring score changes, adaptively adjusting, and triggering an abnormal circuit breaker mechanism. This invention achieves real-time updating of trust weights and dynamic reconstruction of the trust chain, improving the efficiency and security of cross-border mutual recognition while ensuring data privacy compliance.

The invention relates to the technical field of chaos engineering, in particular to an automatic fault injection and analysis platform based on a domestic server. The system comprises an application service layer and an infrastructure layer. The application service layer comprises a user center system and a dispatching center system; the user center system is used for a user to configure and manage a fault injection task; the dispatching center system is used for receiving a task request of the user center, coordinating the infrastructure layer to execute a task and feeding back a task state to the user center at the same time; and the infrastructure layer comprises a server cluster for deploying a fault injection agent and a hardware detection component, and is used for executing a specific fault injection task under the control of the dispatching center. The invention aims to provide an automatic fault injection and detection system based on a domestic server so as to solve the problems of insufficient test coverage, complex scene design, limited real-time monitoring capability and poor compatibility of different server architectures.

The invention discloses an automatic software testing and defect detection method and system based on artificial intelligence. The automatic software testing and defect detection method based on artificial intelligence comprises the following steps: S1, initializing a test script; s2, executing automatic testing on the software by the testing script, and performing real-time monitoring to obtain a testing result; s3, performing defect detection by adopting an artificial intelligence defect detection module; s4, generating a defect report; and S5, performing optimization and iteration. According to the method, the functions of automatic test execution, intelligent defect detection, defect classification, priority ranking and the like are realized, so that the software test efficiency and accuracy are remarkably improved, the test cost is reduced, and continuous integration and continuous deployment are supported. Meanwhile, the system further provides a friendly user interaction interface and various report formats, and user experience is optimized.

This invention discloses an automated penetration testing method, apparatus, device, and storage medium, belonging to the field of penetration testing technology. The invention obtains initial information about a real network environment; inputs this initial information into a preset automated penetration testing agent to obtain target attack actions; loads the target attack actions into the target network environment and receives feedback information from the target network environment; and performs automated penetration testing based on the feedback information. This solution for automated penetration testing does not excessively rely on human resources, enabling automated execution and fine-grained control of the entire sequential penetration testing process, improving the accuracy and adaptability of the test, and thus more effectively identifying potential security vulnerabilities and threats.

The invention relates to the technical field of humidifying fans, in particular to a control method for a humidifying fan, a computer storage medium and the humidifying fan, and aims to solve the problem that water drops gather at a mist outlet and drop after an existing humidifying fan is used. In order to achieve the purpose, according to the control method for the humidifying fan, the humidifying fan comprises a fan head, an atomization device and an atomization fan, the atomization device is provided with a mist outlet pipe fixed to the fan head, and the atomization fan and the mist outlet pipe are located in the same channel; the control method comprises the steps that after the atomization device is closed, the fan head is controlled to rotate to the preset anti-dripping position where the mist outlet of the mist outlet pipe inclines upwards; and the atomization fan is controlled to operate so as to blow-dry the mist outlet. When the atomization device is closed, the fan head automatically rotates to the preset anti-dripping position, so that water drops gathered at the mist outlet flow back, the atomization fan is started to supply air, residual water drops are helped to be removed, and the dripping phenomenon is avoided.

This invention relates to an information data processing system and method, belonging to the field of smart agriculture technology. The specific technical solution is as follows: a wearable smart terminal is used to collect multi-dimensional sensing data from agricultural sites and send this data to a cloud server; the multi-dimensional sensing data from agricultural sites includes at least one of the following: crop image data, field environment data, soil attribute data, and geographic location information; the cloud server is used to analyze the multi-dimensional sensing data from agricultural sites to obtain cloud analysis processing, convert the cloud analysis results into first augmented reality display information, and send it to the wearable smart terminal; the cloud analysis results include at least one of the following analysis results: crop cultivation suggestions, anomaly diagnosis results, and agricultural operation decisions; the wearable smart terminal is also used to display the first augmented reality display information. This disclosure can improve the efficiency of farmland operations.

The invention discloses a section-based database field coding translation method, which comprises the following steps of: configuring an AOP section according to a front-end request, and automatically triggering the configured section after any method marked by a method-level annotation is executed and returned normally; traversing the return value by using a reflection cycle mechanism to obtain all fields in a single piece of data; whether field-level annotations exist or not is judged, if yes, attribute information of the field-level annotations is obtained, and meanwhile corresponding translation services are called; the translated readable text result is written into the specified target field in the return object through reflection again; and repeating the operation until all the fields marked by the field-level annotation in the returned object are processed, and finishing the execution of the automatic translation process to obtain a complete data object which is translated by all the specified coding fields and can be directly returned to the client. According to the scheme, centralized management and automatic execution of code translation functions are realized, and code redundancy is effectively reduced.

The application relates to a control method of a capping machine automatic sorting system, relates to the technical field of material sorting, and comprises a capping machine body with a plurality of capping execution ends, and a sorting mechanism for sorting the bottle caps conveyed by the capping machine body; one side of the capping machine body is provided with a discharging station, the capping execution ends cyclically pass through the discharging station, and the feeding end of the sorting mechanism is located at the discharging station; the sorting mechanism comprises a conveying assembly for receiving the bottle caps on the discharging station and transferring the bottle caps, and a rejection assembly for classifying the bottle caps on the conveying assembly by controlling the blowing on-off; the conveying assembly comprises a grooved wheel for reversely conveying the bottle caps on the discharging station; a plurality of groove cavities for accommodating single bottle caps are uniformly arranged on the grooved wheel in the circumferential direction; the grooved wheel is reversely rotated with the capping machine body to realize the correspondence of the groove cavities and the capping execution ends in the discharging station. The application has the effects of improving the production efficiency and realizing automatic continuous production.

The present application relates to a network security assessment method, device, computer equipment, computer-readable storage medium and computer program product. The method comprises: obtaining first object information and assessment standard information of a first assessment object; querying target operation instruction template data corresponding to the first object information; generating target implementation record data based on the first object information, the target operation instruction template data and a preset first implementation record form template; and performing network security assessment on the first assessment object according to the target implementation record data and the assessment standard information. The use of this method can improve the accuracy of network security assessment results.

The invention discloses an observation platform-based insight analysis method and an electronic device, and relates to the technical field of artificial intelligence, and the method comprises the steps: carrying out the intention recognition of a received insight analysis request, and according to the recognized task intention, combining with a preset structured conversation analysis process configuration library, carrying out the analysis of the intention; generating an insight analysis execution path containing a multi-step analysis instruction; according to the task intention, intention keywords are extracted from the insight analysis request, semantic retrieval is carried out in a long-term memory vector library, and context information is obtained; and according to the context information, according to a multi-step analysis instruction in the insight analysis execution path, triggering calling of a target tool matched with the current step step by step, and taking a corresponding tool execution result as an input of a corresponding subsequent step to obtain an insight analysis result. According to the method and the device, the defects of poor semantic comprehension capability of a general agent and relatively poor SQL statement conversion precision are overcome, and the semantic comprehension capability of the agent and the data analysis efficiency are improved.