226 results about "Object identifier" patented technology

The invention discloses a park management method based on digital twinning, particularly relates to the field of park operation, and is used for solving the problem that a multi-source event is difficult to stably chain under the conditions of compensation delay and evidence gap and causes misalignment of disposal triggering. Comprising the following steps of: registering an event in a pool to generate an event number and writing the event number into a platform arrival moment; screening and mapping an anchor point event to a park object identifier and a process stage identifier to generate a management token; checking a stage sequence and an evidence item requirement set according to an event chain rule table in event chain construction and generating a conflict point list; the delay portrait library generates a credible mark when a source is generated and forms a reverse sequence violation spectrum; the digital twin object relation graph forms an influence domain span mark; the closed table is returned to obtain a disposal convergence guarantee level; the cost-sensitive decision tree outputs a disposal template identifier, and the disposal template table generates a management action instruction and a trigger voucher and records an instruction acceptance identifier; and returning, comparing and freezing the exception management token, and updating the event chain rule table and the delay portrait library.

The invention discloses a real-time state synchronization method and system, electronic equipment and a storage medium, and belongs to the technical field of network communication.The method comprises the steps that in response to a connection request from a client side, persistent connection with the client side is established, and a state subscription relation is recorded; performing semantic analysis on the state change event from the business service layer to determine a push priority; a corresponding target intelligent gateway is found according to the target object identifier of the state change event, a pushing strategy is executed by fusing the client network condition maintained by the target intelligent gateway and the pushing priority, and the state is updated and synchronized to the related client; and monitoring the health state of the persistent connection, and when the connection is abnormal and recovered, performing state synchronization with the client by the intelligent gateway based on the stored incremental state information. According to the invention, the problems of unreliable connection, redundant pushing and poor expansibility of a traditional SSE scheme are solved, and high-reliability, high-efficiency and horizontally-expandable real-time state synchronization is realized.

The invention discloses an electric power multi-protocol data conversion method and system based on object model dynamic mapping, and the method comprises the steps: receiving an original protocol message, recognizing a protocol type, extracting a logic name as a unique identifier of equipment, extracting an object identifier as a measurement point identifier, and extracting an electric energy array as a measurement point value; according to the protocol type and the equipment unique identifier, matching a corresponding object model template from a unified object model library; mapping the equipment unique identifier, the measuring point identifier, the measuring point numerical value and the acquisition timestamp obtained by analysis to corresponding fields in a template; and generating an object model data object conforming to a standard format, packaging the object into a message, executing an encryption authentication mechanism of a network layer and a transmission layer through the power Internet of Things security access gateway, and sending the message to an Internet of Things management platform. According to the invention, standardized, automatic and secure access of different protocol terminals is realized through protocol analysis and the unified object model library.

The invention discloses a data processing method and system for a dynamic knowledge graph, particularly relates to the technical field of knowledge graph data processing, and is used for solving the problem of park multi-source data consistency. The method is oriented to a park, system records are standardized as park event frames carrying object identifiers, event types and time information, association is achieved through a unified object identifier set, sub-graph templates are inquired according to the event types, object nodes are positioned, the sub-graphs are expanded according to template paths, affected sub-graphs are limited, and incremental updating is executed only within the range. The method comprises the steps of recording and writing effective time, failure time and a source event identifier, constructing a time version chain, generating a current state in combination with conflict detection of a preset time window and a source priority decision, constructing a current view and a historical view, adding a time filtering condition to query, and realizing time sequence retrieval of scenes such as equipment operation and lease change. And the updating efficiency and the data consistency of the park knowledge graph are improved.

The invention provides a synchronization signal processing method, electronic equipment and a computer readable storage medium, and the method comprises the steps: executing a first synchronization instruction by a meta thread, generating an arrival and request response signal carrying a working group slot position identifier and a barrier object identifier according to first synchronization information, and sending the arrival and request response signal to a synchronization engine; the execution engine executes the meta-thread function instruction and generates an arrival signal according to the second synchronization information; aggregating the arrival signals with the same slot position identifier and barrier object identifier to obtain a final arrival signal; the synchronization engine determines a target barrier object and updates a count value, and constructs a response signal and sends the response signal to the target meta-thread when the count value meets a preset condition. According to the technical scheme, the synchronization signal processing overhead can be reduced, and the parallel execution efficiency is improved.

The invention provides a file data migration method and device, equipment, a storage medium and a program. The method comprises the following steps: receiving object storage access information, wherein the object storage access information is used for requesting migration of target file data; according to the object storage access information, constructing mapping information between a file local directory of the file storage system and an object storage bucket of an object storage cluster; according to the file path under the local directory of the file, generating a target object identifier in the object storage cluster, the target object identifier being generated by converting a hierarchical structure of the file path; and migrating the target file data from the file storage system to an object storage cluster based on the mapping information and the target object identifier. According to the method, the file storage flexibility can be improved.

The invention discloses a data query method and device based on a natural language. The method comprises the following steps: receiving natural language input of a user; performing semantic analysis on the natural language input, and determining a user intention and a plurality of semantic elements; based on the user intention, target query operators corresponding to the semantic elements respectively are determined in a query operator sequence, and the query operator sequence comprises a plurality of query operators arranged according to the execution sequence; generating a query plan based on the target query operators, the semantic elements corresponding to the target query operators and the execution sequence of the multiple target query operators; a query statement is generated based on the query plan and target database object identifiers corresponding to the semantic elements respectively, and the target database object identifiers comprise at least one of table names and field names; and performing data query based on the query statement. According to the embodiment of the invention, the accuracy and the interpretability of the query statement can be improved, so that the accuracy and the reliability of the query result are improved.

Embodiments of the present disclosure disclose a data driving method, device, equipment, computer readable medium and program product. A specific implementation of the method comprises: in response to determining that a data driving object intercepts an operation method called in response to an operation request, determining operation parameter information of the corresponding operation method; generating operation parameter object information according to the data driving object identifier, operation method parameter information and operation selector of the operation method; determining each operation listener object identifier of the data driving object corresponding to the data driving object identifier according to the data driving object identifier; inputting the operation parameter object information as input parameters into the callback method corresponding to each operation listener object identifier determined, so as to notify the operation object information returned by the callback method to the consumer object corresponding to the operation listener object identifier. The implementation is related to data driving, and improves the efficiency of implementing data driving of an application program.

The invention provides an information adjusting method and device, electronic equipment, a medium and a product. Relates to the technical field of data processing. The method comprises the steps that according to an information adjustment request, a target object corresponding to a target object identifier is obtained, current information corresponding to the target object, multiple pieces of to-be-selected data and time attributes corresponding to the multiple pieces of to-be-selected data are determined, and the multiple pieces of to-be-selected data correspond to multiple dimensions; determining a target time period corresponding to the target precision, and screening the multiple pieces of to-be-selected data according to the target time period and the time attribute to obtain multiple pieces of target data; inputting the multiple pieces of target data into a hierarchy classification model to obtain a target hierarchy corresponding to the target object; and performing adjustment processing on the current information according to the target adjustment parameter to obtain target information. According to the scheme, the multi-dimensional and reliable target data are obtained through screening according to the target precision, and information adjustment is performed through the hierarchical classification model and the target data, so that the accuracy of information adjustment is improved.

The application discloses a content recommendation method and device based on a content recommendation model, equipment and a medium, and belongs to the field of artificial intelligence. The content recommendation model comprises an object branch and at least two content branches. The at least two content branches are matched with at least two views of at least two candidate recommendation contents, and at least part of parameters of the at least two content branches are shared. The method comprises: obtaining an object representation corresponding to a first object identifier; obtaining a content representation of candidate recommendation content for the first object identifier; inputting the object representation and the content representation into the content recommendation model to obtain an object representation and a single-view content representation; determining a target recommendation content from the candidate recommendation content based on the object representation and the single-view content representation, and performing content recommendation to a first object represented by the first object identifier. The above scheme can improve the feature extraction capability of the content recommendation model, thereby improving the effect of content recommendation.

The application provides an object data processing method and device and a storage medium, relates to the technical field of Internet, can be applied to various scenes such as cloud technology, artificial intelligence, intelligent transportation and auxiliary driving, is applied to an object data processing system including a first data processing end and a second data processing end, and the method comprises the following steps: the first data processing end receives an object data update request, the object data update request carries a member object identifier and member update data of a target member object, the first data processing end is constructed based on a script language; the first data processing end calls a target attribute mapping object in the second data processing end based on the member object identifier of the target member object, the second data processing end is constructed based on an object-oriented programming language; and the second data processing end performs data update on the target attribute mapping object according to the member update data. The application can reduce the update resource occupation and cost, and improve data synchronization.

The embodiment of the invention provides a transaction data management method and device, equipment, a storage medium and a program product, and relates to the field of database management. The method comprises the steps of determining a statement feature value of a first SQL statement, wherein the statement feature value comprises at least one of an operation type, an access object identifier and a grammar feature; under the condition that the target transaction is successfully submitted, a target transaction feature identifier corresponding to the target transaction is determined according to the statement feature values of the SQL statements, the transaction corresponding to the SQL statements is the target transaction, and the first SQL statement is any one SQL statement in the SQL statements; and binding the target transaction feature identifier and target transaction statistical data corresponding to the target transaction, and storing the target transaction statistical data in a storage space, wherein the target transaction statistical data comprises at least one of a transaction identifier, submission time and client information. According to the method provided by the invention, the transaction data management capability is improved.

Digital radio signals and apparatuses for providing or receiving such signals are described. A digital radio signal has one or more of a link type indicator, indicating the source of image content. A further digital radio signal has compressed SVG data. A further digital radio signal has an indicator indicating a presentation style for text information. A further digital radio signal has an indication of a target group for an information object. A further digital radio signal has signature data. A further digital radio signal has a predetermined start object identifier.

A method for training a neural network, comprising receiving a multitude of images of a driver's field of vision, generating depth information, a driver gaze probability, and a known object identifier for each of the multitude of images, estimating a probability of an unknown object within each of the multitude of images in response to the depth information, the driver gaze probability, and the known object identifier, generating a multitude of annotated images in response to annotating each of the multitude of images, which exhibit the probability that the unknown object exceeds a threshold probability to identify the unknown object, wherein each of the multitude of annotated images is annotated to identify the unknown object, and training the neural network in response to the multitude of annotated images.

This document discloses a method and apparatus for product recommendation using an external computing device. A data capture apparatus may include an imaging component and a prediction controller connected to a host device. The data capture apparatus may be configured to: capture images of objects in one or more fields of view; provide the generated image data associated with the images to an object prediction application deployed on the prediction controller; identify one or more aspects of the objects via the object prediction application; generate object candidate data corresponding to the objects from the identification via the object prediction application; generate object identifier data for each object candidate in the object candidate data; and / or transmit the object candidate data and / or object identifier data to the host device via a scanner terminal of the host device.

The invention provides a task execution method and device, electronic equipment, a computer readable storage medium and a computer program product, and relates to the field of computers, in particular to the technical field of process automation and intelligent agents. According to the implementation scheme, in response to a received trigger request for a target task, a target application corresponding to the target task is determined; a preset template corresponding to the target task is determined, the template comprises a first image used for executing a first object identifier of the target task, and the first object identifier corresponds to a to-be-executed target operation in the target application; based on the first image, identifying a second object identifier corresponding to the target operation on a display page of the target application through image identification; and executing the target operation on the display page based on the second object identifier so as to execute the target task.

The present disclosure provides an interactive control method, apparatus, computer device, and readable storage medium. The interactive control method includes: in response to a first trigger operation on a target control, controlling the plurality of virtual objects to enter a first state, and presenting a piece of first indication information corresponding to the first state in a region corresponding to the virtual object identifier; in response to a first change operation on a state of a target virtual object, controlling the target virtual object to enter a second state, and presenting a piece of second indication information corresponding to the second state in a region corresponding to a virtual object identifier of the target virtual object; and the second state refers to a state in which a virtual object manually releases a skill.

The application discloses a marketing strategy generation method and system based on user behavior sequence, relates to the technical field of intelligent marketing, and comprises the following steps: obtaining the original behavior sequence of a target user, extracting a behavior object identifier, constructing an object association structure, fusing and encoding time sequence information and the object association structure to generate an enhanced semantic representation, identifying a marketing response intention type based on the enhanced semantic representation and outputting an initial confidence degree, calibrating the confidence degree by calculating the distribution deviation degree of the enhanced semantic representation from a reference semantic representation set, evaluating a conversion potential score in combination with a behavior active feature, identifying a behavior cycle mode based on the time sequence information and predicting a marketing triggering time, and finally using the conversion potential score to determine a resource allocation quota, selecting matched marketing content, and generating a personalized marketing strategy. The application improves the accuracy and effectiveness of the marketing strategy through semantic enhancement representation and multidimensional evaluation.

The application provides a metadata object association configuration method and device based on a paas platform, wherein the method comprises the following steps: configuring an application scene in an application table, creating metadata objects corresponding to the application scene and configuring the metadata objects in an available object relationship table, configuring common processing modes of the metadata objects in a general table, and configuring application fields of the metadata objects except the common processing modes in an application field table; obtaining an application package corresponding to the application scene, and configuring the application package in each management page of the metadata objects in the available object relationship table; installing the application package in the management page, obtaining attribute data which is actually set in the management page based on the general table and the application field table, assembling an instance table together with a corresponding page component and a current metadata object identifier, isolating the metadata objects in the instance table through a metadata object relationship table, and making the association configuration under the application scene effective. The application does not need to manually configure the common processing modes under different application scenes each time.

The invention provides an instruction synchronization method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining an instruction type, distribution object identifiers and an instruction sequence of an initial original instruction, and if the same distribution object identifier has the initial original instruction with the opposite instruction type, executing the instruction synchronization; if yes, combining the initial original instructions with opposite instruction types based on the instruction sequence to obtain a target original instruction, storing the target original instruction into a cache data sequence according to the instruction sequence, generating a unique and progressive increasing sequence number for the target original instruction, and responding to a synchronization request of a to-be-synchronized client to synchronize the to-be-synchronized client. The synchronization sequence number of the to-be-synchronized client is obtained, the target original instruction is pulled from the cache data sequence according to the synchronization sequence number, the synchronization data list is obtained, the synchronization sequence number of the to-be-synchronized client is updated to be the maximum sequence number in the synchronization data list, and the technical problems that data synchronization delay is long and the data size is large are solved through the method.

The present disclosure provides a view angle adjustment method and device in a virtual scene, a terminal device and a storage medium. A graphical user interface is provided by the terminal device, and a first virtual scene picture is displayed on the graphical user interface. The method comprises: in response to an input operation acting on a view angle adjustment region in the graphical user interface, displaying at least one object identifier corresponding to a virtual object in the view angle adjustment region; wherein the display position of the object identifier in the view angle adjustment region corresponds to the actual position of the at least one virtual object in the virtual scene; in response to a change in the scene view angle of the first virtual scene picture and / or a change in the actual position of the at least one virtual object, controlling the display position of the object identifier in the view angle adjustment region to be updated; and in response to a target object identifier in the object identifier being selected, controlling a second virtual scene picture determined based on a target virtual object to be displayed in the graphical user interface, the target virtual object being a virtual object corresponding to the target object identifier.

The invention discloses a data processing method and device, computer equipment, a medium and a product, and the method comprises the steps: obtaining N target objects in a target business scene, determining an object group to which each target object belongs, the object group comprising a control group or an experimental group, and the control group and the experimental group applying different experimental strategies; determining at least one piece of paired data corresponding to the N target objects according to the interaction data records of the N target objects, wherein each piece of paired data comprises object identifiers of the two target objects and group identifiers to which the two target objects belong; determining influence degree data according to the at least one piece of paired data, and determining associated evaluation data corresponding to the at least one piece of paired data according to the influence degree data and the at least one piece of paired data; and determining an inspection result of the target service scene according to the association evaluation data and the influence degree data, wherein the inspection result is used for indicating whether the target service scene has a network effect. The method can improve the accuracy of network effect inspection based on the paired data.

Anomaly detection in cross-system operation is provided. A system can generate, using machine learning, predicted values related to a network operation for an object identifier at a first time interval. The system can identify, from one or more systems of records, a plurality of actual values output responsive to execution of the network operation at the first time interval. The system can determine a variance in at least one value of the plurality of actual values based on a comparison of the plurality of actual values and the plurality of predicted values. The system can detect, using the one or more models, an anomaly in the variance. The system can execute, responsive to detection of the anomaly, an action to update the one or more models based on the anomaly.

The application discloses a data query method and device and a computer readable storage medium, and relates to the field of financial technology and other related technical fields. The method comprises the following steps: receiving a data query instruction, wherein the data query instruction comprises at least an object identifier of a target object; setting the object identifier of the target object as a target primary key to be queried, and querying target data corresponding to the target primary key from a target database according to the target primary key, wherein the target data is data copied from N data storage units to the target database in advance, each data storage unit corresponds to M terminal objects, each data storage unit is used for storing interaction data between the M terminal objects and the target object, and N and M are positive integers. The application solves the technical problem of low data query efficiency in the prior art due to the need to query interaction data between different objects and the same target object from multiple databases.

The present disclosure relates to a speech determination model training method, an object speech extraction method, a device, an electronic device and a storage medium. The method comprises: obtaining a second speech set, the second speech set comprising a plurality of second sample speeches and a second object identifier corresponding to each second sample speech, each second sample speech comprising a fifth speech and a sixth speech, the fifth speech comprising at least speech corresponding to a fifth speech non-associated object identifier, and the sixth speech being silent audio; performing speech extraction on the fifth speech in each second sample speech based on a speech extraction model to obtain a seventh speech corresponding to each second sample speech; and training a candidate speech determination model based on the seventh speech and the sixth speech to obtain a target speech determination model. The present application increases the training samples by adding the speech corresponding to the fifth speech non-associated object identifier and the silence, trains the candidate speech determination model, obtains a model suitable for richer scenarios, and reduces the error rate of audio recognition.

The application provides an object recognition method, device and equipment and a storage medium. The method comprises: obtaining target data; identifying an object to which the target data belongs based on a target recognition model; the target recognition model uses a first training sample of a newly added object labeled with an object identifier, so that the object identifier predicted for the first training sample is consistent with the object identifier labeled for the first training sample, and the probability distribution predicted for the first training sample approximates the probability distribution predicted for the first training sample by a basic recognition model; the basic recognition model is trained by using a second training sample of a historical object labeled with an object identifier; and an initial target recognition model is a model capable of recognizing data of the historical object. The application can train the target recognition model capable of accurately identifying the object to which the data of the newly added object belongs and accurately identifying the object to which the data of the historical object belongs by using only the training data of the newly added object.

Embodiments of the present application provide an object monitoring method and device, electronic equipment and an object monitoring system, and relate to the technical field of intelligent monitoring. The method comprises periodically querying the latest log data recorded in a log library and containing a target object identifier. In response to the latest log data being obtained, a timestamp in the obtained log data is obtained as a first timestamp. If the time represented by the first timestamp is not in a first time window, and the current time is in an appearance time period associated with the target object identifier, alarm information about a registered object represented by the target object identifier is output. The appearance time period associated with the target object identifier is a time period in which the registered object represented by the target object identifier needs to be in the collection area of an image collection device. It can be seen that the present solution can reduce the false alarm probability.

This application provides a representation learning method and system for a unified structural state. The representation learning method includes acquiring multi-source heterogeneous data of the same lipid nanoparticle object; organizing the multi-source heterogeneous data into object-level associations using object identifiers; encoding the multi-source heterogeneous data separately and mapping them to a unified latent space to obtain an initial representation of the lipid nanoparticle object; extracting prior information characterizing the internal structural relationships and / or thermodynamic states of the particles; constructing training constraint signals based on the prior information; using the training constraint signals as constraint targets to constrain the representation relationships within the unified latent space; jointly training the model using the basic task loss and the constraint loss corresponding to the training constraint signals; and using the unified structural state representation as a shared backbone representation for reuse in at least one downstream task. This improves the physical consistency, transferability, and engineering applicability of the lipid nanoparticle representation learning results.

The invention relates to a virtual lineup configuration method and device, electronic equipment and a storage medium, and belongs to the technical field of game programs.The method comprises the steps that in response to discarding of a first object in a first discarding stage, a first object identifier of the first object added into a discarding window of a first user is displayed; in response to the condition that a second object identifier of a second object in a configuration window of the first user in the first configuration stage and the first object identifier have a set association relationship, displaying the first object and the second object to form a first lineup; and when the second lineup of the first user meets the set battle condition and the number of the second lineup meets the set number condition, displaying that the second lineup is changed from the configuration state to the battle state.

The invention provides a game interaction control method and device and electronic equipment. The method comprises the following steps: in response to a formation instruction, displaying an object identifier of an alternative game object on a graphical user interface; in response to the first object selection instruction, determining a first game object selected into a team; based on the historical social record of the first game object, determining a first recommendation object which forms a team with the first game object from the alternative game objects; wherein the historical social record comprises friend records and / or team records of the first game object and at least part of alternative game objects; the first recommendation identifier is displayed on the graphical user interface in an associated mode for the first recommendation object. In the above mode, the user can carry out formation according to the recommended object, repeated comparison and search are not needed, the formation operation is simplified, and the formation efficiency is improved.