172 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 discloses a method and a system for reckoning a complex traveling operation process of a station, belongs to the technical field of traveling scheduling, and solves the problem that an existing method is only suitable for reckoning a single traveling operation process and does not have a function of reckoning a plurality of traveling operation processes in parallel. The system comprises a behavior mode unit, an event control unit, a state statistics unit, an inference engine clock and an external storage unit. The station complex traveling operation process calculation system provided by the invention can calculate and simulate a plurality of complex traveling operation processes in parallel, and also has a normative verification mechanism for the traveling operation processes, so that the calculated traveling operation processes conform to a set operation processing standard process, thereby ensuring safe, efficient and orderly operation of railway transportation, and improving the working efficiency. The problem that an existing method is only suitable for calculation of a single travelling crane operation process and does not have the function of parallel calculation of multiple travelling crane operation processes is solved.

The present application discloses a method, system, equipment and medium for equipment operation and maintenance management based on the industrial Internet of Things, and relates to the technical field of equipment operation and maintenance management. The present application provides a method for equipment operation and maintenance management based on the industrial Internet of Things, wherein the sensor network platform includes a general database that communicates with the management platform and the object platform respectively, and at least two sensor sub-platforms that communicate with the general database, and the method includes the following steps: obtaining the original data collected by the object platform through the general database, and performing anomaly detection on the original data to obtain abnormal data; establishing a communication link between the general database and the target sensor sub-platform; the target sensor sub-platform obtains historical big data of historical abnormal data that causes historical abnormal failures of the object platform, and predicts the type of abnormal failure caused by the abnormal data to the object platform based on the historical big data; and adjusting the maintenance strategy according to the type of abnormal failure.

The invention discloses a cluster authority management method and device, a first node, a storage medium and a computer program product, and the method comprises the steps that the first node receives a first request which is triggered at a first user interface of the first node, the authority management module is used for requesting to manage and / or check the authority of one or more cross-domain clusters; and executing a setting operation corresponding to the first request on each cluster corresponding to the first request by calling a setting component of each cluster corresponding to the first request.

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.

The embodiment of the invention provides a data processing method and device, a storage medium and electronic equipment. The method comprises the following steps: in response to a data writing operation, acquiring unit description information of a storage unit distributed for a to-be-written data object; under the condition that the unit description information indicates that the reference data volume capable of being stored in the residual storage space of the storage unit is larger than the first data volume of the data object, a bitmap object matched with the storage unit is created, and a plurality of bits in the bitmap object are used for indicating the storage states of a plurality of storage subspaces in the storage unit respectively; under the condition that the data object is written into at least one target storage subspace in the multiple storage subspaces, setting operation is carried out on at least one target bit in the bitmap object, and the at least one target bit is used for indicating the storage state of the at least one target storage subspace.

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 invention discloses a speed limiting method and device, a virtual switch, a storage medium and a computer program product, and the method comprises the steps: the virtual switch determines a first value of each virtual machine managed by the virtual switch; under the condition that the network computing power utilization rate of the virtual switch is greater than a set threshold, determining all first virtual machines in the virtual machines managed by the virtual switch; wherein the first numerical value of the first virtual machine is greater than the corresponding second numerical value; executing setting operation on at least part of the first virtual machines, wherein the setting operation comprises distributing at least part of idle network computing power of the virtual switch to the first virtual machines and / or limiting the speed of network computing power which is used by the first virtual machines and exceeds a third numerical value; the first numerical value indicates that the virtual machine consumes the network computing power of the virtual switch, the second numerical value indicates the reference network computing power quota of the virtual machine, and the third numerical value is greater than or equal to the second numerical value.

The invention discloses a boom simulation method for crawler crane construction, computing equipment and a readable storage medium, and the method comprises the following steps: in response to a parameter setting operation input in a boom simulation interface, obtaining basic data of a target crawler crane and target construction parameters corresponding to a target boom combination form; the basic data comprises equipment basic data; on the basis of the basic data and the target construction parameters, carrying out suspension arm simulation on a target load hoisted by the target crawler crane in the target cantilever crane combination form, and determining and outputting a hoisting scheme under the target construction parameters; the hoisting scheme comprises the lifting height and the operation range. Therefore, the hoisting scheme of the crawler crane can be accurately simulated and output, and the construction efficiency and safety of the crawler crane are improved.

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 invention relates to the technical field of open programming, in particular to a user-defined logic programming method and system, electronic equipment and a medium. According to the method, the target process logic is generated by responding to the setting operation of a user on the module parameters of the functional blocks and the routing connection between the functional blocks on the autonomous programming interface; in response to a target operation of a user for the target process logic, loading a target logic program generated based on the target process logic into the lower computer; the target operation comprises one of an uploading operation, a downloading operation and a monitoring operation; and responding to the running operation of the user for the target logic program, and circularly executing the target logic program by the lower computer according to the set time slice so as to meet the process requirement. According to the embodiment of the invention, a flexible and open secondary development programming mode is provided, and the customized authority is given to the user through the autonomous programming interface, so that the user autonomously designs the process logic, and the flexibility of the process logic design can be improved while the time cost and the labor cost are reduced.

The present invention provides a time-saving method for performing queries in a database or information retrieval system, the method comprising performing operations such as intersection, union, difference, and exclusive OR on two or more key sets stored in the database or information retrieval system. In a novel execution model, all data sources and operations are tries, and the input tries for higher-order set operations can be the output of lower-order set operations that are evaluated on demand. Two or more input tries are combined according to the corresponding set operations to obtain the key sets associated with the nodes of the corresponding result tries. The physical algebra of the bitmap-based trie implementation directly corresponds to the logical algebra of the set operations and allows for an efficient implementation by means of bitwise Boolean operations.

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 method and a device for jointly performing set operation, an auxiliary encryption party and a set calculation party are introduced into a multi-party security calculation framework in which a plurality of set holding parties jointly perform predetermined set operation, and each set holding party performs security interaction encryption with the auxiliary encryption party respectively. The method comprises the steps that firstly, a local set is encrypted through a secret key of an auxiliary encryption party to obtain disordered first set ciphertexts of a local set, then a set calculation party obtains all the first set ciphertexts corresponding to all set holding parties respectively, preset set operation is carried out to obtain first result ciphertexts, and then a result obtaining party obtains ciphertext data corresponding to the first result ciphertexts and sends the ciphertext data to the auxiliary encryption party; and performing secure interaction decryption with the auxiliary encryption party to obtain plaintext data of the first result ciphertext. According to the embodiment, the effectiveness of the multi-party security computing application can be improved.