15results about How to "Intelligent processing" patented technology

The invention discloses a cross-modal alignment method and device for a multi-modal large language model, and relates to the technical field of multi-modal alignment, and the method comprises the steps: obtaining an image, carrying out the target detection, and generating a local image fine-grained feature; obtaining a text, extracting text features, extracting a text entity relationship, and obtaining an entity relationship dependency tree as a text entity relationship graph; performing local fine-grained semantic alignment on the local image fine-grained features and the text features; using the scene graph model to obtain a visual relation graph between detection targets in the image; performing graph structure alignment and graph semantic alignment on the text entity relation graph and the visual relation graph; and fusing the semantic alignment features and the graph alignment features to obtain semantic alignment features with rich fine grit, global semantic alignment features and richer relationship alignment features, and inputting the semantic alignment features, the global semantic alignment features and the richer relationship alignment features into a multi-modal large model. According to the method, alignment of different modal data on different feature dimensions is realized, so that the different modal data are accurately associated.

The invention provides an interactive BIM modeling method and system based on a large model. The method comprises the steps that a target tool set description document corresponding to a target project class is determined; receiving a task instruction input by a user, and performing task splitting by the project class large model according to a task intention of a currently executed task to obtain at least one subtask; the calling project class large model determines a tool calling instruction according to the task intention of the currently executed subtask and the target tool set description document; the tool calling instruction is sent to a tool calling module, and the tool calling module carries out compliance verification on the tool calling instruction; the tool calling instruction is processed, an execution instruction of the BIM application is generated, an execution result is received and returned to the project class large model, and the project class large model presents the execution result to a user. According to the method disclosed by the invention, the BIM modeling task is completed through simple natural language input, the operation complexity can be reduced, and a designer is helped to complete the modeling task more efficiently.

The invention discloses a furniture board processing equipment control method and system. According to the method, the data of the furniture board processing equipment is collected, the multi-depth knowledge vector spectrum is formed based on pyramid knowledge vector mining, and the data value can be comprehensively and deeply mined. Equipment control decision features of different processing tasks are obtained from knowledge vector spectrums of different pyramid depths, and the requirements of linkage processing tasks and other processing tasks can be accurately adapted. And for the linkage processing task, the decision features obtained from the depth of the first pyramid can effectively coordinate the relationship between the devices, so that the adverse effect between the devices is avoided, and the overall processing efficiency is improved. Second processing task decision features are obtained from knowledge vector spectrums of other depths, more complex processing influence factors are considered, and the processing quality is improved. And finally, remote control is realized by combining two decision features, so that the manual intervention cost is reduced, the timeliness and accuracy of control are improved, and high efficiency, high quality and intelligentization of furniture plate processing are realized.

The invention discloses an intelligent control method and device, electronic equipment and a readable storage medium, and belongs to the technical field of intelligent control. Under the condition that the gesture instruction does not conflict with the voice instruction, performing multi-dimensional normalization on the gesture feature vector to obtain a to-be-fused gesture vector; performing normalization processing on the voice feature vector based on context semantic perception to obtain a to-be-fused voice vector; fusing the to-be-fused gesture vector and the to-be-fused voice vector to obtain a fusion vector, and determining a fusion instruction corresponding to the fusion vector as a target execution instruction; and under the condition that the gesture instruction conflicts with the voice instruction, selecting a target execution instruction according to a first confidence coefficient corresponding to the gesture instruction and a second confidence coefficient corresponding to the voice instruction. The self-adaptive normalization strategy is designed for different modal data, the data fusion accuracy is improved, meanwhile, the gesture and voice instruction conflict can be intelligently and flexibly processed, and the accuracy of determining the real intention of the user is improved.

The invention provides a lithium battery PACK method which comprises the following steps: step 1 to step 6, a battery cell module is conveyed to a position above a liquid cooling plate through a conveying device to be assembled, meanwhile, a module base is further conveyed to an assembling station in the step 1 by the conveying device, the position above the liquid cooling plate is coated with glue, the battery cell module is hoisted to be separated from the module base, and the battery cell module and the liquid cooling plate are assembled. The battery cell module is moved to the position above the glued liquid cooling plate to be pressed and assembled, detection is conducted multiple times during assembly, the quality of the lithium battery PACK is guaranteed, the yield is improved, meanwhile, manual transportation assembly and intelligent machining are not needed, and the assembly efficiency is greatly improved.

The invention discloses an electronic registration deviation rectifying device based on a gold stamping die cutting process and a method thereof, and belongs to the technical field of gold stamping die cutting processes, and the electronic registration deviation rectifying device comprises a belt conveyor and gold stamping die cutting processing equipment. The auxiliary press-fit mechanism is used for carrying out press-fit auxiliary movement on the product; the rotating mechanism is used for rotating the auxiliary press-fit mechanism; the surrounding position switching mechanism is used for carrying out surrounding rotation on the rotating mechanism; the lifting mechanism is used for carrying out lifting adjustment and supporting around the position conversion mechanism, and the sensor mechanism is used for carrying out multifunctional induction on paper products and comprises a photoelectric sensor, a color code sensor, an inductive sensor, an ultrasonic sensor and a capacitive sensor. According to information transmitted by the sensor mechanism, the auxiliary pressing mechanism, the rotating mechanism, the surrounding position switching mechanism and lifting adjustment can be started through counting of a background, the effect of changing the position deviation of a product is achieved, and the qualified rate of the product is increased.

The invention provides a new energy system operation state monitoring analysis method and device based on a multi-level structure and a storage medium, and relates to the technical field of data monitoring analysis. The method comprises the following steps: dividing acquired data of a new energy monitoring system according to a preset hierarchical structure to obtain hierarchical structure data; constructing the hierarchical structure into a hierarchical data model through a dynamic time sequence modeling algorithm; constructing a cross-regional panoramic monitoring graph, and performing optimization scheduling of regional hierarchical data in combination with a dynamic network optimization algorithm; and collecting real-time data of the new energy access point through an incremental data synchronization algorithm, performing data analysis on the new energy access point, and generating an analysis result. By introducing hierarchical data modeling, dynamic data synchronization, incremental data processing and panoramic modeling, the data management flexibility, the real-time monitoring precision, the cross-regional data synchronization and scheduling efficiency and the risk assessment and abnormal response capability of the new energy monitoring system are remarkably improved.

The invention belongs to the technical field of information processing, and particularly discloses an intelligent physical examination screening information processing method and system and a program product, a physical examination information encryption packet is received for data decryption and data conversion processing, a single physical examination data set is obtained, and relevant information of each single physical examination is extracted and analyzed from the single physical examination data set; the method comprises the following steps of: firstly, extracting a template to input related information of each single physical examination to obtain a physical examination report, and finally, associating the physical examination report with a corresponding query code obtained through information calculation and archiving, so that efficient and intelligent processing of physical examination screening information can be realized. According to the method, the integration and file recording efficiency of medical units on the physical examination screening information can be effectively improved, the safety and confidentiality of the physical examination screening information in the integration process can be fully guaranteed, meanwhile, rapid online query response of the archived physical examination screening information can be conveniently achieved subsequently, and the user experience is improved.

The invention discloses an adaptive array microphone cascade sound mixing method, which is applied to a microphone cascade sound mixing system, and belongs to the technical field of communication. The microphone cascade sound mixing system comprises a synchronization module, a channel gain equalization estimation module and a self-adaptive sound mixing module, the synchronization module is in communication connection with the channel gain equalization estimation module through a plurality of first channels, and the channel gain equalization estimation module is in communication connection with the self-adaptive sound mixing module through a plurality of second channels. The synchronization module is in communication connection with the self-adaptive sound mixing module through a plurality of channels III; the first microphone array device is connected with the synchronization module through a Ch0 channel,..., and the Nth microphone array device is connected with the synchronization module through a Ch (N-1) channel. By arranging the synchronization module, the channel gain equalization estimation module and the self-adaptive sound mixing module and adopting two-stage phase-level synchronization processing and sound mixing synchronization processing, multiple beneficial effects of volume equalization, target voice enhancement, signal quality optimization and the like can be realized.

The application relates to the technical field of data processing, and discloses a gateway processing method and device based on heterogeneous computing and dynamic energy efficiency, which comprises the following steps: performing a data analysis operation on real-time data of a target gateway to obtain data analysis information, determining a processing acceleration component according to a random forest decision tree model and task type information, generating a gateway model based on task modeling parameters, determining parallel segmentation points in the gateway model through a critical path analysis algorithm, and determining at least one sub-task set of the target gateway; determining a corresponding heterogeneous computing unit for each sub-task set based on the processing acceleration component and the calculation processing parameters, and further generating gateway processing parameters corresponding to the target gateway. It can be seen that the application can intelligently process industrial gateway data, is favorable for improving the intelligence and efficiency of industrial gateway data processing, and is favorable for improving the accuracy and reliability of industrial gateway data processing.

The application relates to the technical field of depth estimation, in particular to an indoor depth estimation method based on joint event stream and image frame, wherein the method comprises the following steps: fixing a depth camera and an event camera; performing time registration and space registration on the depth camera and the event camera, mapping an image collected by the depth camera to an image collected by the event camera, and obtaining a time-space aligned image frame data set; for each frame of the image collected by the event camera, selecting a real depth map with a collection time interval less than a preset interval as a real depth label; training a depth estimation network by using the image frame data set to obtain a trained depth estimation network; inputting an event stream image and an image sequence of an indoor scene into the trained depth estimation network; and outputting a depth estimation result of the indoor scene. Thus, the problems in the related art that the indoor scene environment is various and complex in structure, the indoor monocular depth estimation accuracy is low, and the indoor monocular depth estimation cannot meet the actual use requirements are solved.

The utility model discloses an umbrella rod core rod alignment molding press, which relates to the technical field of umbrella production and comprises a machine table, a conveying plate and a molding device, a pushing cylinder is arranged on the front side of the conveying plate, a fastening head opposite to the pushing cylinder is arranged on the rear side of the conveying plate, and an umbrella rod is pushed into the fastening head when the pushing cylinder works. The pushing air cylinder is arranged to replace manual operation to push the umbrella rod into the fastening head, after mold pressing equipment completes machining, the reset air cylinder works to drive the reset rod to push the umbrella rod back to the conveying plate, the whole machining process of the umbrella rod is intelligent, efficiency is improved, and time and labor are saved.

The present invention relates to the field of information management technology, and specifically discloses a bidding information management method and system based on an electronic bidding transaction platform, including the following steps: S01, readable data imported from multiple data sources in a database; S02, based on the project components stored in the database, managing the relevant metadata corresponding to the project components in the data imported into the database to form a metadata repository that matches the amount of data in the database; S03, matching the metadata repository with a data import module, and generating difference information with multiple identifiable database entities under the metadata repository for the unmatched information. The invention simplifies the filling process of the bidding template, and intelligently processes the bidding template through the bidding book, thereby realizing rapid filling and intelligent processing, speeding up the filling speed of the bidding information, and thus improving work efficiency.

The present invention provides a training method for a natural language processing model based on a Transformer architecture, which belongs to the technical field related to big data processing, and comprises the steps of obtaining input text data and preprocessing it, sending the preprocessed text into a natural language processing model based on a Transformer network architecture for training, training the feedforward network of the network using a dynamic adaptive neural optimization algorithm, using the Transformer network architecture to perform context-aware semantic analysis on the input text, and then using a multi-layer extreme learning machine classification algorithm based on path integrals to establish a probability amplitude model from input features to output classification results using the Feynman path integral strategy. The present invention improves the accuracy of the model in task understanding and semantic analysis by optimizing the core algorithm of the network, and the method can capture complex semantic relationships, making the processing of natural language more intelligent.

The intelligent home textile four-edge sewing all-in-one machine integrates transverse and longitudinal sewing functions and is specially designed for automatically completing four-edge sewing of home textile products. After the transverse sewing part automatically cuts the fabric through the cutting mechanism, the fabric is stably conveyed to the longitudinal sewing area through the longitudinal receiving part. The longitudinal receiving part comprises a conveying belt fixed on a movable frame, and the distance between the movable frames is adjusted to adapt to fabrics with different widths; the sixth conveying belt and the eighth conveying belt can be adjusted up and down to adapt to clamping and conveying of fabrics with different thicknesses. The longitudinal sewing area is composed of two sets of symmetrical sewing units and comprises a sewing module, a guide belt, a guide strip and a label washing part, and the label washing part automatically grabs and conveys a washed label and joins the fabric for sewing. The equipment does not need manual intervention, ensures that the production process is continuous, and has high-efficiency automatic production capacity, high-precision sewing quality and intelligent secondary processing. In addition, by replacing the hemming steel plate, the flanging mode and the hemming mode can be easily switched, and various product requirements are met. Meanwhile, trademarks can be installed on the trademark installation mechanism according to needs, and the added value of products is improved. In a word, comprehensive automation of home textile product sewing is achieved, and production efficiency and flexibility are improved.