164 results about "Processing type" patented technology

The invention discloses a numerical control turning machining parameter recommendation method and device, and belongs to the technical field of numerical control turning machining. The numerical control turning machining parameter recommendation method comprises the steps that whether a target part material is in a machining parameter knowledge base or not is judged; determining the dynamic weight of the preset processing performance of the material sample in the processing parameter data set by adopting a particle calculation method to obtain a performance index weight; and searching a processing material most similar to the target part material in a processing parameter knowledge base based on the performance index weight, and determining the most similar processing material as a candidate processing material. Searching in a processing parameter knowledge base on the basis of the candidate processing materials and the target processing type to obtain candidate processing parameters, corresponding to the target processing type, of the candidate processing materials, and then obtaining target processing parameters according to a preset large model. The degree of dependence on human experience and the threshold of compiling numerical control machining codes in numerical control machining are reduced, and the quality and efficiency of machining parameter determination are remarkably improved.

The invention provides a system shutdown control method and device, electronic equipment and a readable storage medium, and relates to the technical field of terminals.The control method comprises the steps that in response to shutdown operation, a plurality of target tasks to be processed before system shutdown and the task type of each target task are obtained; determining a processing sequence of the plurality of target tasks according to the task type of each target task; according to the processing sequence of the multiple target tasks, controlling a target application corresponding to each target task to process the target task; after the multiple target tasks are processed, the system is controlled to be shut down. Before the system is shut down, according to the processing type of each to-be-processed target task, each target application is controlled to process the corresponding target task according to a certain sequence, the processing requirements of different types of target tasks before the system is shut down are met, and the flexibility of the system shutdown is improved.

The invention relates to the technical field of smart water meters, in particular to a smart water meter cluster meter reading method and system.The method comprises the steps that to-be-processed data is received, and the to-be-processed data is subjected to type division according to data content to obtain a data classification set; performing data classification extraction on the data classification set in sequence to obtain corresponding processing types, and obtaining a storage address based on the processing types, the storage address corresponding to the data classification set; and storing the data in the data classification set according to the storage address, performing grade division on the data classification set to obtain corresponding processing grades, and generating a processing scheduling scheme according to the processing grades. A processing scheduling scheme of the to-be-processed data is realized, and the data management efficiency of the smart water meter is improved.

The invention discloses a data access method and device, electronic equipment and a storage medium, and is applied to an object storage service protocol client, the method comprises the following steps: obtaining a data processing request, the data processing request carrying a data processing type and a target object key identifier; when the data processing type is a write processing type, encrypting the written to-be-encrypted data according to a target preset data key corresponding to the target object key identifier to obtain a first data ciphertext, and encrypting the target preset data key according to the target object key identifier to obtain a first encryption key; and generating target data according to the first data ciphertext and the first encryption key, and transmitting the target data to a data cache region of an object storage service protocol client, so as to write the target data in the data cache region into a server through an object storage service protocol. According to the embodiment of the invention, the data of the user can be locally encrypted, so that the data owner can completely control the data on the cloud.

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 real estate registration service on-line handling system and method, and the system comprises a user access end which is used for carrying out the real-time communication with a plurality of users related to service handling through an external network, carrying out the identity verification of the users, and transmitting the verification result to a server; the data forwarding module is also used for being connected with a virtual hall server through an encrypted intranet and forwarding data of the virtual hall server; the virtual hall server is used for determining a security policy according to the business handling type, the encrypted intranet state and the identity information and the positioning record of each user, and establishing a virtual reception room; the business handling server is used for completing contract signing, material receiving and voice recording in the virtual reception room, and verifying the authenticity of related materials and voice content according to the collaboration file; and the collaborative server is used for storing associated files issued by different government affair departments related to business handling. According to the invention, on-line handling of real estate businesses in which a plurality of parties are required to participate is realized, and the handling efficiency and the user experience are improved.

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 embodiment of the invention relates to an evaluation method and device for a processing unit on a DPU, equipment and a medium. The DPU comprises at least one processing unit, and the method comprises the following steps: acquiring n pieces of recorded data from a hardware table item corresponding to the processing unit of the DPU; classifying the n pieces of data according to the message processing type identifiers to obtain m pieces of data corresponding to each message processing type identifier; carrying out calculation on the basis of a start processing timestamp and an end processing timestamp of each service processing stage corresponding to the message processing type identifier in the m pieces of data to obtain a timestamp difference value of each service processing stage corresponding to the message processing type identifier; and carrying out average processing based on the timestamp difference value of each service processing stage to obtain a target time delay of each service processing stage of the message processing type corresponding to each message processing type identifier in the processing unit. Therefore, the time delay of each service processing stage of different message processing types in each processing unit on the DPU can be accurately obtained.

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 provides a data processing method, device and equipment for a large model and a storage medium, and the method comprises the steps: generating an input feature matrix according to prompt words input by a user; according to the processing type of each input feature sequence in the input feature matrix, determining at least one thread block corresponding to the input feature matrix, the operation type of each thread block and a target basic calculation unit to which each thread block belongs; according to the operation type of each thread block and the processing type of each input feature sequence, distributing each input feature sequence to each thread block; running each thread block in parallel to obtain an operation result corresponding to the input feature matrix; and obtaining an output result of the large model based on an operation result corresponding to each input feature matrix. According to the method, the dynamic scheduling of resource allocation can be realized at the kernel function level of the GPU, so that one SM unit can process pre-filling and decoding tasks at the same time, idle or repeated calculation is avoided, and the reasoning performance of a large model is remarkably improved.

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 relates to a workflow processing method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: in response to a parameter configuration operation on a current configuration node in a first workflow, determining a current configuration parameter of the current configuration node; acquiring configured parameters of the historical configuration nodes from the second workflow; determining a parameter processing type of the current configuration node based on the current configuration parameter, the configured parameter and respective node attributes of the current configuration node and the historical configuration node; determining a shared node and a non-shared node of the current configuration node in each to-be-configured node of the third workflow based on the parameter processing type; determining a node parameter of the shared node based on the current configuration parameter, and determining a node parameter of the non-shared node in response to a parameter configuration operation on the non-shared node; and obtaining a target workflow based on the node parameter of each node in the third workflow. By adopting the method, the generation efficiency of the workflow can be improved.

New metadata associated with visual content relates to the use of a pixel-level attenuation map that is dedicated to reduce energy consumption when using the visual content (e.g., when rendering the visual content on a display). Information is provided that is compatible with a display type using an attenuation map, a pre-processing type (e.g., up-sampling), an operation type for applying an attenuation map, some indices that expect a reduction in energy consumption, and an expected quality impact using such an attenuation map. These parameters are carried by respective syntax elements in the SEI message. A pixel-level attenuation map for an image of a video may be carried as a particular type of auxiliary picture and encoded in a conventional manner. Encoding and decoding methods and apparatuses are also described.

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.

Machining condition setting device (1) for setting a machining condition of a machine tool for machining a workpiece, wherein the machining condition setting device (1) comprises: a data acquisition unit (34) for obtaining at least one data set indicating a state of machining including a machining type in the machine tool; a priority condition storage unit (56) which stores priority condition data in which the machining type in the machine tool is linked to a priority condition for the machining type; a preprocessing unit (36) which generates data for use in machine learning based on data acquired by the data acquisition unit (34) and the priority condition according to the processing type, which is contained in the data and stored in the priority condition storage unit (56); and a machine learning device (100) which performs a machine learning process with respect to a machining condition and / or a machining parameter for machining by the machine tool in an environment in which the workpiece is machined by the machine tool, based on data generated by the preprocessing unit (36), wherein the machine learning device (100) contains: a learning model storage unit (130) which stores multiple learning models generated for each machining operation in the machine tool, and a learning model selection unit (105) which selects a learning model from the several learning models stored in the learning model storage unit (130) for use in the machine learning process based on the processing type contained in the data which the preprocessing unit (36) has generated.

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.

The embodiment of the invention discloses a traffic data processing method based on a block chain network and related equipment, which can be applied to various scenes such as cloud technology, artificial intelligence, intelligent traffic, auxiliary driving and the like, and the method comprises the following steps: a main node can obtain a traffic data set acquired from a road; calling a data processing contract, and obtaining the processing type of each sub-node in the N sub-nodes for the traffic data; calling a data processing contract to classify the traffic data set for the processing type of the traffic data based on each sub-node to obtain a traffic data subset corresponding to each sub-node; the traffic data subset corresponding to any sub-node comprises traffic data in the traffic data set, which is consistent with the processing type of any sub-node for the traffic data; the traffic data subsets corresponding to all the child nodes are issued to all the child nodes, so that all the child nodes process the traffic data subsets corresponding to all the child nodes; the reliability of traffic data can be improved.

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.