64 results about "Processing type" patented technology

The invention relates to an intelligent space layout method and system based on ship internal design, and relates to the technical field of ship design, and the method comprises the steps: obtaining an initial layout map, an actual furniture type and actual furniture parameters of a living room; defining a layout existence type, a priority processing type and an accident existence type; determining a preliminary adding scheme according to the layout existence type; and determining a reasonable placement scheme according to the priority processing type and the accident existence type, and combining the reasonable placement scheme with the preliminary addition scheme to construct an internal layout scheme to output the internal layout scheme to a preset management end. The method has the effect of improving the design convenience of the accommodation space layout in the ship.

The invention discloses a mine multi-source data fusion transmission method and device based on distributed edge agent collaboration, and relates to the field of data transmission. The method comprises the following steps: collecting heterogeneous data through a plurality of data collection terminals deployed in a mine production environment, and generating a data voucher based on the heterogeneous data; analyzing a value mark through a master agent to split a data processing task into task sub-pieces of different processing types, selecting a slave agent from bidding results of other edge computing nodes for bid invitation information, and constructing the master agent and the slave agent into an edge agent alliance for processing heterogeneous data; performing real-time interaction of event features in the edge agent alliance, and executing cross-modal joint coding on the associated heterogeneous data streams based on the event features; and aggregating and uploading the data subjected to joint coding to the cloud in a transmission window returned by the 5G base station. By implementing the technical scheme, mine multi-source heterogeneous data can be effectively processed, and on-demand distribution and dynamic scheduling of network resources can be realized.

The invention provides a material carrying equipment control instruction generation method and device, equipment and a storage medium, and relates to the technical field of information. The method comprises the steps that material storage device parameters and material carrying equipment parameters are obtained, wherein the material storage device parameters are used for indicating specification and position information of a material storage device and material storage real-time state information; according to the parameters of the material storage device and the parameters of the material carrying equipment, a space state mapping model is constructed, and the space state mapping model is used for synchronously mapping the real-time states of the material storage device and the material carrying equipment. A material processing request initiated by a user is received, the material processing request is used for indicating the current position information, the target position information and the processing type of the to-be-processed material, and the processing type comprises storing and / or taking out. And in response to the material processing request, generating a control instruction for controlling the material handling equipment based on the spatial state mapping model.

The invention discloses an Internet of Vehicles data quality detection system, method, device and equipment. The system comprises a data access module, a rule management module, a core processing module and a visual display module, after receiving the Internet of Vehicles data, the core processing module detects whether the Internet of Vehicles data accords with each quality detection rule or not, if not, determines that the Internet of Vehicles data is invalid Internet of Vehicles data, generates quality index data, processes the Internet of Vehicles data according to invalid data processing types, and sends the processed Internet of Vehicles data to the Internet of Vehicles processing module; and sending the quality index data to a visual display module. According to the embodiment of the invention, quality detection can be carried out on each piece of Internet of Vehicles data sent to the management server in time according to each quality detection rule, whether the Internet of Vehicles data is high-quality Internet of Vehicles data or invalid Internet of Vehicles data is determined, and the invalid Internet of Vehicles data is processed by using a proper processing mode. And the timeliness of the Internet of Vehicles data quality detection process is improved.

The embodiment of the invention provides an information processing method and device, and the method comprises the steps: obtaining a logistics information processing request, and determining a processing type corresponding to the logistics information processing request; calling a target interface corresponding to the processing type, obtaining logistics information associated with the logistics information processing request, inputting the logistics information and the logistics information processing request into an interaction model for processing, and obtaining multiple pieces of candidate feedback information; according to user feedback information associated with the logistics information processing request, target feedback information is determined in the multiple pieces of candidate feedback information, and the interaction model is optimized into a target interaction model according to the target feedback information. The external information and the user query are input into the model together, so that the model can be combined with the external information for model prediction, the model prediction accuracy is improved, the model is optimized online through the feedback information, the model has the self-updating capability, and the model adaptability is improved.

This application provides a method and system for tracing food safety in the kitchen, applied in the field of food safety technology. By acquiring the original traceability identifier and data of the food to be processed, and combining this with processing intent information and real-time collected physical quantity change data, a logical association is established between the internal traceability identifier and the original traceability identifier. This seamlessly connects the processing data of intermediate materials to the original traceability chain, and records a traceability dataset containing key information such as processing time, operators, and processing type, thus forming a complete and traceable data chain covering the material transformation path. This effectively solves the problem of fragmented or ambiguous traceability information during the internal material transformation process in the kitchen in existing technologies, achieving the beneficial effect of complete and accurate traceability from raw materials to intermediate products and then to the final dish.

The invention discloses an information generation method based on a large language model, and belongs to the technical field of artificial intelligence, and the method comprises the steps: obtaining user input data and a task processing type; according to the task processing type, the multi-modal large model is used for processing user input data, the multi-modal large model comprises a data fusion module, an encoder module, an enhancement module, an image-text description module and a result generation module, and the data fusion module is used for receiving the user input data and fusing the user input data into text data; the encoder module is used for encoding the data output by the data fusion module, the enhancement module is used for performing text enhancement on the data output by the data fusion module according to external knowledge, and the image-text description module is used for generating image-text description data according to the data output by the encoder module; and the result generation module is used for generating information according to the data output by the encoder module, the data output by the enhancement module and the image-text description data, so that the information generation accuracy and content richness of the model can be improved.

The embodiment of the invention provides an information processing method, electronic equipment, a storage medium and a program product. The method comprises the following steps: in response to a private information processing request of a user, obtaining user private information and processing reference information corresponding to each private information processing type indicated by the private information processing request; wherein the private information processing request indicates at least one private information processing type; the user private information is user information to be processed; the processing reference information is the reference information for processing the private information of the user; and according to the processing reference information corresponding to each private information processing type, processing the user private information corresponding to the private processing type to obtain a processing result of the user private information. The method is used for improving accuracy and comprehensiveness of private information processing, and user experience and processing efficiency can be improved while standardization and normalization of private information processing are achieved.

The invention relates to the technical field of drilling machines, in particular to an efficient treatment type drilling machine for machining crane parts, which comprises a supporting base, a drill bit is mounted at the top end of the supporting base, an alignment device is fixedly mounted at the bottom end of the drill bit, and a transmission part is fixedly mounted at the top end of the supporting base and is positioned below the drill bit; the alignment device comprises a vertical rod and first racks, the first racks are symmetrically and fixedly installed at the bottom end of the vertical rod, the transmission part comprises a feeding device, a receiving device and a synchronizing device, the receiving device is fixedly installed in the center of the top end of the synchronizing device, and the feeding device is fixedly installed at the top of the side end of the synchronizing device; the feeding device comprises a storage cavity, a to-be-machined part, a push plate, a blocking plate, a base rod, a first spring, a first connecting rope, a driving motor, a shaft rod, a first gear, a second gear and a third gear. Due to the arrangement of the alignment device and the transmission part, the aim of integrating constant-speed feeding and chipping synchronization flow guide when the drilling machine is used is achieved.

The invention discloses an information generation method and device based on a large language model, a storage medium and a refrigeration equipment system, and belongs to the technical field of artificial intelligence. According to the task processing type, the multi-modal generation type large model is used for processing the user input data, the multi-modal generation type large model comprises a data fusion module, an encoder module, an enhancement module and a result generation module, the data fusion module is used for receiving the user input data and fusing the user input data into text data; the encoder module is used for encoding the data output by the data fusion module, and the enhancement module is used for performing text enhancement according to external knowledge, the data with context features output by the encoder module and the data output by the data fusion module. And the result generation module is used for generating information according to the data output by the encoder module and the data output by the enhancement module, so that the information generation accuracy and content richness of the model can be improved.

Approaches presented herein provide for the clustering of geometric primitives, such as triangular faces, of a mesh representation that is advantageous for downstream processing. In at least one embodiment, clustering can be performed based in part on the spatial locations of the geometric primitives, such as to minimize the surface area of bounding boxes around clustered primitives or minimize the overlap between bounding boxes. Other factors such as connectivity within, or across, clusters can also be considered. A cost function can be used that includes weighted combination of cost terms, where those cost terms can be selected based in part upon a type of downstream processing to be performed, or requirements / optimizations of hardware to perform the processing.

The approaches presented here involve clustering geometric primitives, such as triangular areas, within a mesh representation, which is advantageous for downstream processing. In at least one embodiment, clustering can be partially based on the spatial positions of the geometric primitives, for example, to minimize the surface area of ​​bounding boxes around clustered primitives or to minimize the overlap between bounding boxes. Other factors, such as connectivity within or between clusters, can also be considered. A cost function can be used that comprises a weighted combination of cost terms, where these cost terms can be selected partly based on the type of downstream processing to be performed or on hardware requirements / optimizations for performing the processing.

One or more embodiments of the invention provide a target object acquisition method and device. Through the method, a first service platform can display an interactive interface, a first object identification list and feature information are determined in response to a selection operation of a user on a data source component, the first object identification list is used for indicating a first screening object stored locally, and the feature information is used for indicating a second screening object associated with a second service platform. The feature information comprises a processing type; determining a data processing mode corresponding to the feature information in response to a screening operation of the user on the processing type, and sending the data processing mode to a second service platform based on the generated request instruction to instruct the second service platform to obtain a second object identifier list of a second screening object based on the feature information; a processing result is generated through a data processing mode, the first object identification list and the second object identification list; and then the first service platform can determine a target object set based on the processing result of the second service platform.

This application relates to a data processing method, apparatus, computer device, storage medium, and cloud-edge collaborative system. The method includes: obtaining a task processing type and a task configuration file for a data processing task; if, based on the task configuration file, the data processing task meets the cloud processing conditions corresponding to the task processing type, sending the task processing type and task configuration file to the cloud computing end of the cloud-edge collaborative system; receiving the data processing result returned by the cloud computing end, wherein the data processing result is obtained by the cloud computing end calling a cloud task processing engine matching the task processing type and executing the data processing task based on the task configuration file. This method can rationally utilize the computing resources of both the cloud computing end and the edge computing end, improving data processing efficiency.

An embodiment of the specification provides an image processing method and device, the method comprising: acquiring a to-be-processed image and a mask image; generating image features of the to-be-processed image in multiple color spaces based on the to-be-processed image, and determining a feature fusion manner according to a processing type of the to-be-processed image; performing feature fusion processing on the image features of the to-be-processed image in each color space of the multiple color spaces and mask image features of the mask image respectively according to the feature fusion manner to obtain each mask fusion feature; and performing convolution processing on the each mask fusion feature, and generating a target image of the to-be-processed image according to a convolution processing result, which not only improves the continuity of the image features, but also improves the accuracy of the target image.

The application provides a logistics data processing method and device based on multi-agent cooperation, equipment, medium and computer program product, relating to the technical field of logistics. The method comprises: obtaining user order information, generating a logistics task according to the user order information; decomposing the parsed logistics task into multiple sub-tasks; receiving sub-agent information fed back by each sub-agent; making a decision based on the multiple sub-tasks, the state information of each sub-agent and the task processing type information, and determining a target sub-agent; sending the sub-tasks to each target sub-agent through a first protocol, so that each target sub-agent generates corresponding sub-task execution results based on the sub-tasks and the execution results of the previous sub-tasks in a predetermined order, until the last target sub-agent generates a target sub-task execution result. The embodiments provided by the application can more effectively coordinate and manage logistics resources, improve logistics efficiency, reduce logistics cost and improve logistics service quality.

The application discloses a kind of microbial sample management methods and kits based on replaceable identification, belong to microorganism experimental technical field.The method includes: determining standard processing type for sample;Selecting the physical identification module bearing corresponding standardized visual information;The module is installed in the specified position of standardized carrier with sample beside in detachable mode;According to the visual indication of module, operation is executed;And can replace module dynamic update state.The kit for implementing the method includes standardized carrier with installation site and a group of physical identification modules representing different processing types.The application materializes experimental procedure into replaceable standardized physical identification, realizes the intuitive and standardized management of multi-sample, multi-step experiment, effectively solves the problems of traditional marking method, such as easy to blur, easy to make mistakes, high cost of electronic system, inflexible, significantly improves the traceability and result reliability of experimental operation.

Provided in the present disclosure are a message processing type indication method, a communication apparatus and a storage medium. The method is applied to a second node, and comprises: receiving a first supplemental enhancement information (SEI) message; acquiring processing type indication information of the first SEI message; and determining a processing type of the first SEI message on the basis of the processing type indication information.

The invention provides a database data synchronization method and device and a database data query method and device, and relates to the technical field of databases. The database data synchronization method comprises the following steps: in response to a received data change log aiming at a database host, identifying a plurality of host data tables with data change and respective processed types of the plurality of host data tables from the data change log; based on the plurality of host data tables, a standby machine data table corresponding to each host data table is identified from a database standby machine, and based on the plurality of processed types, a plurality of task instructions used for data change of data rows of the standby machine data tables are generated, and data stored in the host data tables and the standby machine data tables are the same; concurrently executing a plurality of task instructions by utilizing a plurality of threads configured on the database standby machine under the condition that the plurality of standby machine data tables are different; in response to a completed task instruction, a timestamp field is added in the data line, and the timestamp field represents a change moment of the data line.

The application provides a file processing method and device, a server and a storage medium, relates to the technical field of computers, and solves the technical problem that the terminal may have a delay when sending a control command to the server, causing a lag phenomenon when the terminal processes a service and reducing the effectiveness of service processing. The method comprises the following steps: receiving a file processing request sent by a target terminal; determining a target identifier from a first correspondence relationship; determining target configuration information based on the file identifier of the target file and the processing type of the target file; and sending a file processing response to the target terminal if a configuration success response sent by the second server is received.

A method of processing credentials in a distributed system comprising a plurality of credential processing nodes is described. Each of the plurality of credential processing nodes is adapted to perform credential processing in response to credential processing requests. Individual nodes may use at least a first credential processing type or a second credential processing type. The method has the following elements. It is established that a credential processing request is to be directed to a new credential processing node for the associated credential. It is determined whether stakeholders for the credential support the second credential processing type. It is also determined whether the new credential processing node supports the second credential processing type. If both the stakeholders for the credential and the new credential processing node support the second credential processing type, the new credential processing node processes the credential using the second credential processing type. Otherwise, the new credential processing node processes the credential using the first credential processing type. A corresponding distributed processing system adapted for the processing of credentials is also described.

An information processing system includes a processor, in which the processor is configured to use an estimation model that is trained through machine learning, using plural training data that are generated based on each pair data in which a first image of a person before processing and a second image in which a feature portion of the person included in the first image is processed are associated with each other, and in which a type of processing performed on the first image to obtain the second image, processed positional information representing a position of the feature portion in the first image that is processed, and unprocessed positional information representing a position of a feature portion in the first image that is not processed are associated with the first image, to output the type of processing, the processed positional information, and the unprocessed positional information for the first image, to estimate the type of processing, the processed positional information, and the unprocessed positional information from a new image which is the first image not used in the machine learning of the estimation model and includes the person; and output the type of processing, the processed positional information, and the unprocessed positional information for the new image.

The invention relates to a data processing method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: in response to a processing request initiated for target processing data, obtaining a first data type and a processing type of the target processing data; under the condition that the first data type is cold data, calling a uniform interface service to access a first remote file system to which the target processing data belongs according to first attribute information of the target processing data, and obtaining the target processing data; storing the target processing data to a local storage area; and obtaining the target processing data from the local storage area according to the processing type for data processing. By adopting the method, the computing power and time cost consumed in the data acquisition process can be reduced.

The application discloses a data processing method and system based on hardware resource reconstruction, and the method comprises the following steps: obtaining a hardware configuration parameter and a processing type of to-be-processed data, determining an operator type corresponding to the processing type and a flow water level processing sequence; performing data splitting on the to-be-processed data according to the hardware configuration parameter and the operator type, so as to obtain a plurality of to-be-processed data blocks; determining a plurality of candidate data processing flow water levels corresponding to the operator type in a preset data processing flow water level list, and determining a plurality of target data processing flow water levels corresponding to the to-be-processed data blocks according to available processing parameters corresponding to each candidate data processing flow water level and target processing parameters of each to-be-processed data block; and processing the corresponding to-be-processed data blocks according to the flow water level processing sequence based on the plurality of target data processing flow water levels, so that the flexibility of hardware resource utilization and the accuracy of data processing can be improved.

The invention relates to the technical field of data processing, and discloses a page sensitive information processing method and device, computer equipment and a storage medium. The method comprises the following steps: receiving a page loading request, and obtaining a loading index parameter of a target page according to the page loading request; when the target index parameter exists in the loading index parameters, traversing and screening out a to-be-processed node from all page element nodes of the target page through the initialized target desensitization plug-in; obtaining node attribute information of each to-be-processed node through the target desensitization plug-in, and determining a node processing type of each to-be-processed node according to the node attribute information; and when the node processing type is a desensitization processing type, performing mask processing on the node content data of the to-be-processed node through the target desensitization plug-in according to a preset mask rule to obtain node desensitization data, and replacing and displaying the node content data of the to-be-processed node in the target page with the node desensitization data. According to the invention, the desensitization processing efficiency and the system stability are improved.

The invention relates to the technical field of solid-state storage media, in particular to an abnormal power-off state testing method and device, equipment and a storage medium. The method comprises the following steps: issuing a configuration command carrying a current to-be-tested parameter combination to target storage equipment; in response to the achievement of a preset matching trigger condition, judging whether the current to-be-written data is matched with the current processing type or not; if so, triggering a programming interruption operation through the current delay time; state recognition is conducted on the current programming page to obtain current page state information, the current page state information and the current to-be-tested parameter are combined, associated and recorded, and the test coverage statistical table is updated; returning to execute the step of issuing the configuration command to the target storage device until a preset first iteration condition is met, and updating the current to-be-tested parameter combination; and returning to execute the step of issuing the configuration command to the target storage device until a preset second iteration condition is met, and outputting the test coverage statistical table. According to the invention, invalid tests are reduced, and the test efficiency is improved.

The approaches presented here involve clustering geometric primitives, such as triangular areas, within a mesh representation, which is advantageous for downstream processing. In at least one embodiment, clustering can be partially based on the spatial positions of the geometric primitives, for example, to minimize the surface area of ​​the bounding boxes around clustered primitives or to minimize the overlap between bounding boxes. Other factors, such as connectivity within or between clusters, can also be considered. A cost function can be used that comprises a weighted combination of cost terms, where these cost terms can be selected, in part, based on the type of downstream processing to be performed or on hardware requirements / optimizations for performing the processing.

The application provides a corpus processing method and device, electronic equipment and a storage medium. The method comprises the following steps: obtaining a corpus processing request, wherein the corpus processing request comprises a corpus table file, attribute information of a model corresponding to the corpus table file, and a processing type; analyzing the corpus table file according to the attribute information of the model, and obtaining corpus content in the corpus table file; and processing the corpus content according to the processing type, and determining a corpus record of the model. Thus, the screening, editing and batch processing functions of the table file can be utilized, the user can conveniently adjust and process the corpus table file, and the corpus processing efficiency is improved.

The application provides a complaint processing method, device, equipment, medium and computer program product, the method comprises: obtaining each first network complaint problem in the current complaint work order, and determining a target processing type according to each first network complaint problem; determining the kind of information to be obtained according to the target processing type, and obtaining the corresponding target information of the kind, the target information includes network information and equipment information for solving the first network complaint problem; determining the reply information corresponding to the current complaint work order according to the target information, and outputting the reply information, the reply information includes the processing strategy corresponding to each first network complaint problem. In the application, the processing time length of the network complaint problem is reduced, the processing flow of the network complaint is shortened, and the processing efficiency of the network complaint is improved.

An information processing system includes a processor, in which the processor is configured to use an estimation model that is trained through machine learning, using plural training data that are generated based on each pair data in which a first image of a person before processing and a second image in which a feature portion of the person included in the first image is processed are associated with each other, and in which a type of processing performed on the first image to obtain the second image, processed positional information representing a position of the feature portion in the first image that is processed, and unprocessed positional information representing a position of a feature portion in the first image that is not processed are associated with the first image, to output the type of processing, the processed positional information, and the unprocessed positional information for the first image, to estimate the type of processing, the processed positional information, and the unprocessed positional information from a new image which is the first image not used in the machine learning of the estimation model and includes the person; and output the type of processing, the processed positional information, and the unprocessed positional information for the new image.