117 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 provides a monitoring data processing method which can be applied to the fields of server management, operation and maintenance, big data analysis and algorithms. The monitoring data processing method comprises the following steps: in response to a monitoring request for target equipment, determining a data acquisition rule according to a request processing type contained in the monitoring request; according to the data acquisition rule, acquiring target monitoring data for the target device, the target monitoring data including at least one type of index data; for each type of index data in the target monitoring data, calling a target model according to the data type and the request processing type of the index data; and processing the index data by using the target model to obtain a processing result corresponding to the data type of the index data. The invention further provides a monitoring data processing device, equipment and a storage medium.

The invention provides a processor testing method and device, a medium and a program product, and can be applied to the technical field of computers. The processor test method comprises the following steps: in response to a test instruction for a processor, generating a plurality of load states for simulating the load fluctuation of the processor; for each load state, inputting the acquired performance data of the processor and the load state into a parameter configuration model, and outputting a test parameter adaptive to the load state; according to the task processing type of the test parameter, distributing a test case constructed based on the test parameter to a matched logic partition in a processor for execution; and determining a test result of the processor in the load state by analyzing test data generated in the execution process.

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 question processing method and device, electronic equipment and a storage medium, relates to the technical field of artificial intelligence, in particular to the technical fields of deep learning, large models and the like, and can be applied to scenes such as intelligent questions and answers, service consultation and the like. According to the specific implementation scheme, a to-be-answered question is obtained; executing the first processing thread and the second processing thread in parallel; wherein the first processing thread is used for inputting a question to be answered into a pre-trained classification model, and generating a target dimension processing trigger probability value set; the second processing thread is used for inputting the to-be-answered question into a pre-trained large model to generate a first answer; wherein each target dimension corresponds to a preset business processing type, and the probability value is used for judging whether a corresponding business processing flow is triggered or not; and if the processing triggering probability value of each target dimension is smaller than the corresponding preset probability value, taking the first answer as a final answer of the to-be-answered question. According to the scheme, the response speed of question answering can be improved.

The invention discloses a graph data storage traversal method and device, equipment and a medium. The method comprises the following steps: separately storing vertexes and edges of graph data in a document database, and generating an edge relationship between the vertexes based on a queue-driven construction algorithm; traversing the graph data according to a type dimension from a set initial vertex, managing nodes to be processed through a queue to be accessed, and avoiding repeated processing of types through an accessed type set; a type set, a starting point set and an end point set of a ring are preset, and the ring is a vertex group formed by vertexes which are connected end to end and formed based on the edge relation; when it is detected that a ring exists in the traversal path, the ring is processed, the starting point is controlled not to be repeatedly accessed, and the terminal point is controlled to be repeatedly accessed. By means of the scheme, storage and traversal of graph structure data with the upper-lower hierarchical relation between the vertexes can be achieved.

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 invention provides a data processing method and device, equipment, a storage medium and a program product, which can be applied to the field of cloud computing. The method comprises the steps of creating a corresponding task execution unit in a server according to a task type of a data processing task; matching a corresponding target resource group from a resource pool of the server based on a type identifier corresponding to the task type allocated when the task execution unit is created, the resource pool comprising a plurality of resource groups classified according to the processing type, and the processing type and the type identifier having a corresponding relationship; and according to a preset mapping relationship between the resource group and the processor core in the processor, scheduling the task execution unit to the processor core corresponding to the target resource group so as to execute the data processing task.

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.

This disclosure proposes a text processing method, apparatus, electronic device, and storage medium, relating to the field of computer technology. The text processing method includes: acquiring a text to be processed; processing the text to be processed based on a reference processing pattern to obtain multiple reference subtexts, wherein the reference processing pattern has a corresponding processing type, and the type of the reference subtexts is the same as the processing type; adding at least one of the multiple reference subtexts to an initial substring to obtain a reference substring, wherein the reference substring has a corresponding reference scale value; determining the reference type of the last character of each added reference subtext; and determining the processing result corresponding to the text to be processed based on the reference scale value, reference type, and reference substring. This addresses the technical problems of inaccurate text processing and poor text processing results in existing technologies.

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.

Provided is a machining information display device capable of easily selecting a machining mode of a machine tool regardless of the proficiency of a user, and capable of easily performing efficient machining. A machining information display device includes at least two machining modes defining a combination of parameters of at least one of an acceleration / deceleration function, a servo function, and a correction function required for machining by a machine tool, and includes a display control unit that displays information related to the machining modes on a display device. The processing mode is classified into one or more processing types corresponding to processing, and the display control unit displays one or more processing type images for selecting the one or more processing types, and when one of the one or more processing types is selected, the display control unit displays the one or more processing type images for selecting the one or more processing types. An image indicating the processing mode set to the processing type is displayed.

The embodiment of the invention provides a multi-core inter-core communication method and device, and relates to the technical field of inter-core communication, and the method specifically comprises the steps: generating a first to-be-processed message sent from a sending core to a corresponding receiving core; the first to-be-processed message carries a message header corresponding to the to-be-processed message; the message header comprises a processing type of the first to-be-processed message; writing the first to-be-processed message into a first message queue, and generating a first interrupt notification; and sending the first interrupt notification to the receiving core, so that the receiving core interrupts a task currently executed by the receiving core in response to the first interrupt notification, reads the first to-be-processed message from the first message queue, analyzes the message header to obtain a processing type of the first to-be-processed message, and sends the processing type of the first to-be-processed message to the receiving core. And processing the first to-be-processed message according to the processing type to generate a target response. According to the embodiment of the invention, resource use during inter-core communication can be reduced.

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.

The invention provides a super-computing-oriented remote collaborative post-processing method and device, equipment and a medium. The method comprises the following steps: determining a target quantity participating in post-processing, a post-processing type and associated configuration information; and sending the target quantity, the post-processing type and associated configuration information to a super-computing cluster, so that the super-computing cluster reads corresponding simulation data from a matched simulation data file in parallel according to the target quantity, and compresses the read simulation data to obtain data to be rendered, and if the data quantity of the data to be rendered is smaller than a threshold value, the data to be rendered is rendered. And sending the to-be-rendered data to the client, if the data size of the to-be-rendered data is greater than or equal to a threshold value, rendering the to-be-rendered data according to the post-processing type and the associated configuration information to obtain graphic rendering data, and sending the graphic rendering data to the client. The problems that local processing capacity is insufficient and interface display is not smooth are solved.

The application provides a remote cooperative post-processing method and device for supercomputers, equipment and medium. The method comprises the following steps: determining a target quantity participating in post-processing, a post-processing type and associated configuration information; sending the target quantity, the post-processing type and the associated configuration information to a supercomputer cluster, so that the supercomputer cluster reads corresponding simulation data from a matched simulation data file in parallel according to the target quantity, performs compression processing on the read simulation data to obtain to-be-rendered data, sends the to-be-rendered data to a client if the data quantity of the to-be-rendered data is less than a threshold, performs rendering on the to-be-rendered data according to the post-processing type and the associated configuration information to obtain graphic rendering data and sends the graphic rendering data to the client if the data quantity of the to-be-rendered data is greater than or equal to the threshold. The application aims to solve the problems of insufficient local processing capacity and unsmooth interface display.

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.

A video provision system is configured to: display a setting screen on a first device to allow a user to select at least one type of masking processing to be executed from a plurality of masking processing types, wherein the plurality of masking processing types include deep masking processing and at least one of blurring processing and mosaic processing, and wherein the deep masking processing removes personal information of a person in a first video while preserving attribute information of the person, including gender, age, and facial expression; determine the at least one type of masking processing to be executed, in response to user input via the setting screen; execute the determined type of masking processing on the person in the first video to generate a second video; store the second video on the server; and provide the second video from the server to a second device.

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 disclosure describes a method of providing cyber security enhancement, comprising: receiving an input signal via a first hardware sub-circuit of a hardware circuit and processing the received input signal into at least one of a first processed signal according to a first type of processing and a second processed signal according to a second type of processing being different to the first type of processing; deriving from only from one of the first processed signal and / or second processed signal a first output signal; transmitting the first output signal to a second hardware sub-circuit of the hardware circuit; and detecting from which of the first processed signal and / or second processed signal the transmitted first output signal is derived from and processing the transmitted first output signal into a second output signal in dependency from result of the detection.