140 results about "Set operations" patented technology

The invention discloses a source network load storage oriented regional collaborative scheduling method and system, and relates to the technical field related to power resource scheduling, and the method comprises the steps: traversing target region source network load storage to carry out real-time data collection, and constructing a source network load storage multi-dimensional data set to carry out multi-scale layered optimization; operation constraint conditions are set, limitation is carried out in combination with a power grid topological structure, a cooperative scheduling instruction set is determined, cooperative control feedback is carried out, and regional power scheduling feedback parameters are generated; and multi-channel dynamic correction is carried out, and a cooperative scheduling optimization strategy is generated to carry out energy balance cooperative scheduling on the source network load storage in the target area. The technical problems that in the prior art, intermittent fluctuation of new energy is difficult to consume, the collaboration of all links of source network load storage is poor, the dispatching flexibility of a power system is insufficient, and the resource configuration efficiency is low are solved. The technical effects of optimizing regional energy resource allocation and improving the clean energy consumption level, the power grid operation stability and the source grid load storage cooperative response capability are achieved.

The invention provides a large model tool calling method and device based on multiple constraint sets and electronic equipment. The method comprises the steps that a current constraint set comprises a permission constraint set, a state constraint set and a context constraint set; based on the current constraint set and a tool set cue word builder, obtaining a tool set cue word corresponding to the current constraint set, and generating a calling intention based on the task demand instruction and the tool set cue word; and generating a tool call description based on a cue word formed by the large language model and the call intention, and executing tool function call under the condition that grammar and semantic check of the tool call description is passed. On one hand, a current constraint set uniformly manages authority, state and context constraint conditions, and the constraints are flexibly subjected to set operation to dynamically judge the availability of a tool; and on the other hand, the tool set cue words are dynamically screened, redundancy of the tool set cue words is avoided, the calculation amount of a large language model is reduced, and the possibility of calling wrong tools is reduced.

The invention discloses a server operation and maintenance method and electronic equipment, is applied to a preset operation and maintenance platform, and relates to the technical field of equipment operation and maintenance. The server operation and maintenance method comprises the steps of obtaining historical operation behavior data of a target user on the preset operation and maintenance platform based on a task processing request; determining an operation and maintenance level evaluation value of the target user according to the historical operation behavior data, and determining a risk coefficient and a task admission threshold value of the target operation and maintenance task; and based on the risk coefficient, the task admission threshold and the operation and maintenance level evaluation value, determining an operation authority level of the target user, distributing a corresponding server operation authority to the target user, executing a corresponding operation and maintenance operation according to an operation instruction sent by the target user, and completing a target operation and maintenance task. The operation and maintenance capability is evaluated by analyzing the user behavior data, and the operation and maintenance authority is dynamically adjusted based on the risk coefficient and the task admission threshold of the operation and maintenance task, so that the operation authority is adjusted, the individuation and intelligence level of the service is improved, and the operation and maintenance efficiency is improved.

The invention provides a redundant code identification method and system based on a data flow diagram. The problem that multiple types of redundant codes cannot be comprehensively identified in the prior art is solved. Identifying a waste interface set through set operation processing of an interface access log, a total station scanning result and code warehouse information; performing dynamic call detection and data flow analysis based on a static analysis tool and the abstract syntax tree, and identifying an internal useless code set; identifying and combining a waste script set and a waste consumer set to form a waste component set through state check and log analysis of consumer operation states, script execution records and task scheduling configuration; constructing a whole system call graph to perform reverse reachability analysis, and identifying a cascade waste code set; and finally, generating a complete redundant code report containing statistical data, a detailed list and risk assessment based on the various sets.

The invention discloses a program code management method and device, equipment and a medium. The method is applied to a terminal integrated with a set operation environment and comprises the steps that a construction script configured under a code management directory is obtained, the code management directory is created in advance through a set command under the set operation environment, and a plurality of management subdirectories are further created in advance in the code management directory; analyzing the construction script to generate a code management instruction, and determining a management object corresponding to the code management instruction from each management subdirectory; and running the code management instruction, and executing code management logic for the management object by calling a set function module in the set running environment. According to the technical scheme, the code management directory capable of performing centralized scheduling on the applet codes is constructed, and automatic management on the applet codes is realized by generating the code management instruction.

Provided in the embodiments of the present disclosure are a table content generation method and apparatus, and a device, a medium and a product. The method comprises: first, on the basis of a setting operation for a target field in a field setting interface, generating corresponding field setting information; and then on the basis of a content generation instruction for the target field, calling a preset model to generate, on the basis of the field setting information, content of a cell corresponding to the target field.

The invention provides an automatic operation control method for a low-dam hydropower station. The method comprises the following steps: preprocessing collected water level and incoming water flow data; a reservoir capacity dynamic calculation model is constructed in combination with the reservoir capacity curve graph and the water level flow data, and dynamic updating of reservoir capacity data is achieved; historical hydrological data, current water level flow and reservoir capacity data are fused to train a machine learning model, and the reliability of short-term inflow prediction is improved; based on the safe operation threshold value, the reservoir capacity data and the incoming water prediction result are input into a multi-objective optimization algorithm, a generator set power adjustment strategy and a flood discharge gate opening degree regulation strategy are automatically generated, and the generator set operation power and the flood discharge gate opening degree are automatically controlled, so that the problems that in the prior art, a low-dam hydropower station is low in automation degree and high in efficiency are solved. And manual adjustment is relied on.

The application provides a clock correction method, system, medium and product of a storage logging instrument, relates to the technical field of clock correction, and the method comprises the following steps: when a starting instruction is received, reading an accelerometer file path in a target configuration file, obtaining acceleration data and corresponding local time stamps of a plurality of storage logging instruments; displaying acceleration curves of the plurality of storage logging instruments on a visual interface, determining a reference storage logging instrument in response to a reference selection operation of a user, determining a starting baseline and an ending baseline in response to a baseline setting operation of the user on the acceleration curve of the reference storage logging instrument, and calibrating a starting moving point corresponding to the starting baseline and an ending moving point corresponding to the ending baseline in response to a moving point calibration operation of the user on the acceleration curve of the other storage logging instrument; and performing time synchronization correction on the local time stamps of the other storage logging instruments according to the starting baseline, the ending baseline, the starting moving point and the ending moving point.

The invention discloses a power failure maintaining method and device. And obtaining a target data item in the variable point, wherein the data is data needing to be subjected to power-down retention. And associating the name of the target data item with the power-down retention attribute. On the basis of setting the power-down retention attribute for each variable point, the data item is used as the minimum unit of power-down retention, independent setting of the data item is supported, a setting mode of finer granularity is added, data processing flexibility is improved, data storage space is saved, the amount of data to be stored is reduced, and storage pressure is reduced. And the name is used as a setting object of power-down maintenance, so that the number and difficulty of setting operation are reduced. And in the case of power failure, determining the data item corresponding to the name associated with the power failure retention attribute as a to-be-stored data item, storing the data in the to-be-stored data item, and reading the data after the power failure disappears. The power-down holding function of industrial automatic control can be realized by a simpler and more flexible method.

To support the configuration tasks of databases created using no-code or low-code.SOLUTION: A configuration operation identification unit (202) of a configuration task support system (1) identifies a configuration operation performed by a user in order to set up a database created using no-code or low-code. A machine learning model storage unit (200) stores a machine learning model which has been trained using training data generated on the basis of the configuration for training. A configuration task support unit (203) supports a database configuration task by a user on the basis of configuration operations and the machine learning model.SELECTED DRAWING: Figure 5

This application relates to the field of fintech and discloses a dynamic hybrid parsing and deterministic verification system and method for fuzzy bond instructions. The system constructs structured data through an instruction preprocessing module; a routing decision module calculates complexity scores based on structure, semantics, and business characteristics, and generates path selection instructions using a resource-aware dual-threshold strategy; a hybrid parsing module responds to instructions, employing a rule engine to handle low-complexity tasks and a large-scale model with enhanced retrieval to handle highly ambiguous tasks; a fallback verification module performs confidence-weighted integration and logical consistency checks, and repairs anomalies through issuer set operations and edit distance matching; a mapping generation module constructs standard query statements using an abstract syntax tree; and a closed-loop optimization module dynamically updates parameters based on user interaction feedback. This invention effectively balances computational efficiency and parsing accuracy, eliminates model illusion risks, and achieves adaptive evolution of the system.

The system allows for flexible configuration of the decision-making criteria required for order processing, and outputs accurate order information based on the configured criteria. [Solution] A program for operating a computer comprising a processor and memory, the program causing the processor to perform the following steps: receiving setting operations for a plurality of judgment items necessary for a first AI model to execute order processing via a user interface; having the first AI model learn the received plurality of judgment items and tuning the first AI model to output order information relating to the order content based on the judgment results for each of the plurality of judgment items; receiving order information relating to the order content and extracting character information relating to predetermined characters from the order information; and inputting the extracted character information into the first AI model and causing the first AI model to output order information.

The application relates to a digital twin modeling method based on a six-dimensional model three-layer architecture, and belongs to the field of digital twin modeling. The method comprises the following steps: constructing a twin model; constructing a topology model through the twin model; combining the twin model and the topology model, and setting operation rules and data mapping rules by using a scene model designer to construct a scene model and store the model; the three-layer modeling architecture is formed by the twin model, the topology model and the scene model; a scene instance is created, twin instance data is given to the scene instance according to the rules of dynamic data mapping, the twin is dynamically analyzed, calculated and instantiated according to the topology model and the scene model, and a twin visual instance of the topology and the scene is rendered to support the twin application. The method can effectively manage and simulate the twin data, the network topology structure and the complex business scene, and improves the intelligent level of network operation and management.

The invention relates to the technical field of workshop scheduling, in particular to a multi-modal multi-target reentrant hybrid flow workshop scheduling method, which is based on a multi-modal multi-target memetic method driven by hierarchical online learning and comprises the following steps of: 1, establishing a problem model; 2, setting operation parameters of the method; 3, generating a population by adopting an initialization strategy; 4, judging whether a first-stage termination condition is met or not, if not, executing a first-stage evolutionary strategy and an environment selection strategy on the population, and otherwise, executing the step 5; step 5, constructing a multi-modal file; 6, judging whether a second-stage termination condition is met or not; according to the method, the diversity of the decision space is maintained while the convergence of the target space is ensured, and a large number of multi-modal scheduling solutions with equivalent performance and different structures can be effectively mined.

The invention relates to the technical field of intelligent interaction, in particular to an interaction agent collaboration system and a control method thereof, and solves the problems that in the interaction process of existing artificial intelligence, emotion perception cannot be performed according to interaction data of a user, so that accurate capture of user requirements is inconvenient to realize, and user experience is poor. The system comprises a multi-port intelligent agent, the multi-port intelligent agent is composed of a software module and a hardware module, the software module is embedded in the hardware module, the software module is an M-Creation engine, and the hardware module is an M-Creation engine. The M-Creation engine comprises a data set, a storage module, a process arrangement platform, a plug-in tool set, a large language model, a back-end service platform and a cache module. Through a large amount of emotion cognition training, the multi-port intelligent agent can conveniently customize the preset role identity and the emotion setting operation in the interaction process, the user demand can be accurately captured, the response emotion and mood can be automatically adapted, and the application of different scenes can be met through the virtual digital human.

The application discloses a predictive maintenance method and system for a production line in an intelligent manufacturing industry, and belongs to the technical field of data processing. The method comprises the following steps: after the production line in the manufacturing industry continuously operates in a working state and reaches a set operation cycle or abnormal fluctuation occurs, basic working condition characteristic parameters of the production line in the manufacturing industry in a preset time period are called, the operation state of a cooling device of the production line in the manufacturing industry is analyzed based on the basic working condition characteristic parameters through a machine learning algorithm model, a health score is generated, and a corresponding operation result label is given; when the operation result label is accurate, the current operation state is maintained; otherwise, based on the operation state of the cooling device, an operation result verification label is determined, and a maintenance adjustment scheme is obtained synchronously; consistency between the operation result verification label and the operation result label is judged, and the technical problem that the predictive maintenance is not accurate due to the prediction deviation of the operation state of the equipment in the prior art is solved.

An embodiment of the present invention discloses a method for monitoring a registry, an electronic device, a storage medium, and a program. The method includes: obtaining a set of current instance snapshot information of the registry and a set of historical instance snapshot information of the registry; performing multiple set operation processes on the set of current instance snapshot information and the set of historical instance snapshot information to obtain multiple set operation results; determining the current registration status of the registry according to the multiple set operation results. The embodiments of the present invention can accurately monitor the registration status of the registry, thereby improving the stability and reliability of the microservice system.

To provide an information output method, an information output device, and a program capable of outputting advice along a time axis of a plan.SOLUTION: In an information processing method, a setting operation is performed to set a goal regarding a user's activity, as well as a policy and a plan for achieving the goal, and an output operation is performed to output instruction content related to the activity according to the set plan and the user's situation. In the setting operation, a first setting operation is performed to set a final goal for the activity and a policy for achieving the final goal, and a second setting operation is performed to set an intermediate goal between an initial situation of the user at the time of setting the final goal and the final goal, and a plan for achieving the intermediate goal on the basis of the policy. In the output operation, instruction content according to the plan and the user's situation is output for each intermediate goal.SELECTED DRAWING: Figure 4

The invention discloses a B / S architecture cavitation simulation pre-processing system guided by expert knowledge, and relates to the technical field of ship engineering, the system is realized based on a B / S architecture, the outside enters the system through a browser end to carry out cavitation simulation pre-processing setting, and the system provides expert knowledge guidance for the setting operation process based on a cloud end. And an intelligent simulation pretreatment function special for cavitation is realized. The system is specially used for pretreatment of cavitation simulation, a customized pretreatment grid encryption strategy is made for a specific object in the cavitation field, guidance of expert knowledge is implanted into the whole pretreatment process, and the generation efficiency and usability of a cavitation simulation model are improved through default parameter automatic configuration and process scripts.

This invention discloses a SysML-based visual modeling workflow configuration method, comprising the following steps: creating system design stages and sub-stages through a visual interactive interface, and setting operation items for each sub-stage; establishing a dynamic association mapping relationship between operation items and system modeling language model elements based on the semantic association method of the system modeling language, and converting it into an independent configuration file; automatically analyzing the upstream and downstream dependencies of operation items based on the configuration file; monitoring the execution status of each operation item in real time, and dynamically updating the execution status of sub-stages and stages according to the status; automatically providing recommended views and model elements for operation items, and generating design deliverables; automatically performing semantic association analysis of data conflicts; and recording the modification history of model elements for traceability management of design results. This invention provides an efficient, flexible, and traceable modeling workflow configuration method, significantly improving the accuracy and collaboration efficiency in the system design process.

The embodiment of the invention provides a ZAP-based log formatting method and system, and belongs to the technical field of computers. The method comprises the steps of loading an updated configuration file in response to a configuration file change signal, and analyzing the updated configuration file to generate a log formatting rule object used for appointing a log field organization and an output form; analyzing and screening the collected log fields in sequence, and recombining the log fields according to the log formatting rule object to obtain a user-defined log formatter; and integrating the user-defined log formatter to a log coding process of a ZAP framework, and calling the user-defined log formatter to output a log result conforming to the log formatting rule object in a log entry generation process. According to the scheme, the dynamic customized output of the log field is realized through interception, filtering, recombination and difference set operation, so that the readability and flexibility of the log are remarkably improved while the information integrity is kept.

The invention relates to a quantum surface code decoding method and device based on adaptive decision, and a storage medium. The method comprises the following steps: obtaining a quantum error model of data quantum bits in a quantum surface code; measuring a measurement quantum bit in the quantum surface code in the quantum calculation execution process to obtain an error syndrome; generating a syndrome graph containing a plurality of syndrome nodes according to the error syndrome; each syndrome node in the syndrome graph is initialized into an initial set, operation is executed on the initial sets based on a preset condition, the initial sets are expanded and merged in the syndrome graph, a target set is obtained, the operation comprises a preparation operation, an expansion operation and a null running operation, and the preset condition is determined based on a quantum error model; and analyzing and processing the target set to obtain a decoding result. According to the embodiment of the invention, the adaptive decoding of the quantum surface code can be realized, the decoding accuracy can be improved, and the calculation complexity can be reduced to ensure the decoding speed.

The invention provides a data processing method of a column storage database and a related product. The data processing method comprises the following steps: creating a temporary file based on a row storage structure in a disk; batch data based on the column storage structure is obtained, the batch data comprises multi-row and multi-column data, and the batch data is an intermediate result obtained in the process that the column storage database carries out set operation based on the Hash strategy; and writing the batch data into the temporary file column by column. According to the data processing method of the column storage database, a cache mechanism of column storage is fully utilized, the number of operation times of switching buffer area data in the disk falling process of the intermediate data of the set operation based on the Hash strategy is greatly reduced, the disk falling performance of the intermediate data of the set operation based on the Hash strategy is improved, and the data processing efficiency of the column storage database is improved. And the effect of improving the overall performance of the database system is achieved.

To improve a convenience for players regarding a setting of a performance environment.SOLUTION: A game machine maintains predetermined volume even after completion of a log-in state when predetermined log-out operation is performed in a state in which a player sets the predetermined volume different from initial volume in the log-in state. Volume setting means can set a volume level for each category and can set an entire volume level corresponding to all the categories, and the game machine can select setting operation of the entire volume level and setting operation of a volume level for each category. A predetermined performance setting is not maintained even after completion of a log-in state when predetermined log-out operation is performed in a state in which a player performs a predetermined performance setting different from an initial setting in the log-in state.SELECTED DRAWING: Figure 178

The invention provides an interaction method and device, equipment, a storage medium and a product, and relates to the technical field of computers. The method comprises the steps of displaying corresponding question content information in response to a setting operation for question content of a preset interaction event, displaying corresponding creation mode configuration information in response to a configuration operation for a question creation mode, and displaying a question set in response to a question creation operation, the question set comprises a plurality of questions generated by utilizing the first model based on the creation mode configuration information, and the matching degree of each question in the plurality of questions and the question content information meets a preset requirement. By adopting the technical scheme, the problem content of the preset interaction event is set and the problem creation mode is configured, so that a batch of problems which are related to the preset interaction event and are matched with the set problem content can be quickly generated by utilizing the model, and the efficiency of configuring the intelligent object is improved.

The present application relates to the field of data processing and discloses a data collection method, apparatus, computer equipment, and storage medium, including: when a setting operation for a data collection task is detected on a task configuration interface, generating a task configuration record and a task contact person record based on the setting operation; generating a task execution record based on the task configuration record, and generating a contact person execution record for each task contact person based on the task contact person record and the task execution record; if the current time reaches the task start time indicated in the task execution record, sending a task reminder message to the contact person terminal of each task contact person; receiving a reference data table sent by each contact person terminal of each task contact person, and merging the contents of each reference data table to obtain a summary data table. This can realize automated data collection and improve data collection efficiency. The present application relates to blockchain technology, and for example, the above data can be written into the blockchain for use in scenarios such as data collection.

The invention relates to the technical field of computers, in particular to a method, a device and equipment for processing a data set in a programming language and a medium, which are used for saving memory occupation and improving the processing efficiency of the data set so as to improve the processing performance of the data set. The method comprises the following steps: aiming at a set data set, creating a set operation queue comprising a plurality of operation functions; wherein each operation function is used for executing a corresponding data conversion operation; creating an execution method of the set operation queue, wherein the execution method is used for calling a plurality of operation functions in the set operation queue in sequence; when the set data set is processed, an execution method is called, data conversion operations corresponding to the operation functions in the set operation queue are sequentially and accumulatively executed according to the set data set, and a processing result is obtained.

The embodiment of the invention provides a system table management method, device and equipment for a relational database management system, and the method comprises the steps: receiving a first selection operation inputted by a user, and obtaining each candidate index meeting a quick index access starting condition; starting database playback, and determining the synchronous read reduction quantity in unit time after the quick index access function is started by each candidate index; determining the index candidate weight of each candidate index according to the synchronous read reduction quantity in unit time after the quick index access function is started by each candidate index and the corresponding memory space; according to each index candidate weight, determining target indexes to form an index list, and determining corresponding function start time and function start end time; and receiving a date setting operation input by a user, and setting a starting date of the index list. Automatic execution of system table management is realized, the learning cost of a user is reduced, complex manual calculation steps and workload are avoided, and the working efficiency is improved.

The invention discloses an event-driven data hierarchical model statistical method, which relates to the technical field of data processing, and adopts a self-adaptive processing mechanism capable of sensing context characteristics of a data stream, and a system performs data hierarchical model statistical analysis according to real-time throughput and data attributes. According to the method, an event-driven mode, a timed task scheduling mode and a micro-batch processing mode are flexibly and automatically switched, so that the high throughput demand of historical data backtracking is effectively considered while low-delay real-time calculation is ensured, and the optimal balance between the resource utilization rate and the calculation efficiency is realized. And the user retention and active indexes are processed by introducing a bitmap-based combined storage structure and displacement arithmetic logic, so that the storage space occupation is greatly compressed, the complex set operation is converted into efficient binary bit operation, and the query performance of cross-cycle statistics is remarkably improved. In addition, a multi-level cache mechanism is utilized to optimize a streaming association process, and the access pressure on an external dimension database is effectively reduced.