212 results about "ControlNet" patented technology

The invention belongs to the technical field of computers, particularly relates to an AIGC paper-cut generation system and method based on culture gene multi-modal constraints, and solves the dual problems of'culture distortion 'and'physically unachievable' of a traditional AIGC generation result through mathematical fusion (such as a mixed integer programming model) of semantic, topology and process three-level constraints. The improved ControlNet architecture realizes directional fusion of culture gene coding vectors through a culture attention mechanism, and dynamically adjusts feature weights in a generation process, so that the generation precision of pattern details is improved to a submillimeter level; based on the combination of an interactive correction tool and an inverse diffusion inversion algorithm, the modification of a local pattern by a user can be quickly fed back to a system, and a'creativity-generation-optimization 'closed loop is realized.

The invention discloses a control gateway for multi-protocol conversion and an equipment access and data transmission method thereof, and belongs to the technical field of protocol conversion, and the control gateway comprises a protocol conversion module which is used for identifying a plurality of communication protocols and carrying out bidirectional conversion on different communication protocols; the data processing module is used for performing error detection and correction on the data and preprocessing the data; the security management module is used for providing multi-level security protection, including encryption, identity authentication, authorization and network security protection, for data transmission and equipment access; the flow control module is used for dynamically adjusting the transmission rate, the priority and the resource allocation of the data according to the network state and the user configuration; the equipment management module is used for managing equipment connected to the gateway; and the user interface module is used for providing an interactive interface and an API (Application Program Interface) of a user and the gateway. Through architecture design and function arrangement, an efficient, safe and flexible solution is provided for communication between networks and devices of different protocols.

A communication method is described that receives, by a policy control network element, a quality of service (QoS) request message from an application function network element. The QoS request message comprises a QoS requirement of a service of the application function network element. The policy control network element based on the QoS requirement, determines M policy and charging control (PCC) rules corresponding to the service, wherein N of the M PCC rules comprise first indication information, the first indication information indicates data flows of the service corresponding to the PCC rules comprising the first indication information to share a bit rate of the service. The N PCC rules are mapped to at least two QoS flows used to carry the data flows of the service, M and N are integers greater than 1, and N is less than or equal to M. The policy control network element sends the M PCC rules to a session management network element.

The invention discloses a dynamic split mirror generation system and method based on a controllable diffusion model, and belongs to the technical field of film and television production. The implementation method comprises the following steps of: 1, setting a keyword text by a user, and inputting the keyword text into ChatGPT to generate a script; 2, converting the script into a scene category, a camera motion mode, a character role position and action and image description in a shot language by utilizing ChatGPT; 3, using a CLIP model to carry out contrast training on the image encoder and the text encoder; 4, performing an OpenPose model on the action reference image to obtain skeleton key points of the character role, and converting the skeleton key points into image character actions; 5, performing action fine-grained control on the character action of the image by using a Stable Diffusion model and a ControlNet model, and generating a split image; 6, utilizing a Pika Labs model to generate a dynamic video from the split image; compared with the prior art, the accuracy of user role action matching under the scene based on multi-text and high-complexity actions is improved.

The invention provides an addressing method for a strategy control network element, an application side network element and a control plane network element, and the method comprises the steps: obtaining a device address of a strategy binding network element retrieval database network element based on the local static data configuration information of the application side network element; retrieving a device address of a database network element according to the policy binding network element, and sending the control plane network element query message to a corresponding target policy binding network element retrieval database network element, so as to query an address of a target control plane network element in the target policy binding network element retrieval database network element according to the control plane network element query information; according to the address of the target control plane network element, sending the policy control network element address query request to the target control plane network element; and receiving a query result corresponding to the policy control network element address query request sent by the target control plane network element. According to the invention, the problem that the application side network element cannot acquire the IP address of the policy control network element according to the user IP address information is avoided.

The invention provides a policy control network element addressing method, an application side network element and a control plane network element, and the method comprises the steps: obtaining the addresses of a plurality of control plane network elements based on the local static data configuration information of the application side network element according to a user terminal address and a mobile communication network access external network identifier; determining a first target control plane network element, and sending a policy control network element address query request to the first target control plane network element; if the session association information of the user terminal is not queried in the first target control plane network element, acquiring an address of a second target control plane network element sent by the first target control plane network element; sending a policy control network element address query request to the second target control plane network element according to the address of the second target control plane network element; and receiving a query result sent by the second target control plane network element. According to the invention, the problem that the application side network element cannot acquire the IP address of the policy control network element according to the user IP address information is avoided.

The invention relates to a sectional type positioning installation method and system for a steel structure frame, and relates to the technical field of building structure construction. The method comprises the steps that three-dimensional coordinate measurement is conducted on the embedded bolt through a total station, a deviation value recording table is obtained, and a control network and a marking system are established; the method comprises the following steps: performing ultrasonic flaw detection and pre-tension reinspection on a steel structural member, performing ground pre-assembly to obtain a single-section steel frame model, and performing optimization treatment to form a number marking system and an assembly sequence diagram; a steel structure is divided into a plurality of independent installation units, and preliminary positioning is achieved through a temporary fixing technology; secondary measurement is carried out, fine adjustment is carried out through an ejector and a wire drawing device, accumulated deviation is dispersed through an overall balance method, and the pre-camber is set to obtain a stable frame system; the high-strength bolts are finally tightened, and welding construction is conducted; the roof system is installed in a batched concentrated hoisting mode. The problem that accumulated errors are difficult to control in traditional steel structure installation is solved, and the installation precision and efficiency are improved.

The invention discloses an artificial intelligence image generation system suitable for updating a historical block facade, and the system employs a Flux model loader module, an image input module, a DeepSeek language interaction module, a LoRA module, a sampler module, a Controlnet processing module, a graph generation module, and a mobile terminal applet module to form a ComfyUI workflow, and completes the generation of a street reconstruction image through the workflow. Wherein the language model can convert natural language input of a common user into a professional street design drawing, more convenient and low-threshold image generation is realized, the ControlNet module can ensure spatial rationality of a generation result, and the LoRA model performs special training on local features to generate a street reconstruction image conforming to local culture and architectural styles. According to the method, the street reconstruction scheme conforming to the local characteristics can be conveniently and quickly obtained, and the design efficiency and interactivity are greatly improved.

A precision measurement and tamping operation method for an operating conventional-speed railway without a control network. The method comprises the following steps: S100, laying a temporary reference station (1) and performing initial precision track measurement; S200, processing office-processed data; and S300, performing tamping operation and precision measurement. The temporary reference station (1) is laid offline along an operation route by means of precise single-point positioning; when precision track measurement is performed by using a track inspector (2), the temporary reference station (1) may serve as a reference station and cooperate with an onboard moving station (3) to perform dynamic post-processing calculation, such that accurate coordinates of the center line of the route are obtained; and when precision tamping is performed by using a tamping vehicle (4) equipped with a tamping vehicle locator (5), the temporary reference station (1) may serve as a main reference station to provide real-time dynamic positioning for the tamping vehicle (4), thereby realizing centimeter-level mileage positioning accuracy, and realizing autonomous synchronization with field mileage.

The invention discloses an AI-based text cartoon device and method, and the method comprises the steps: extracting image parameters through a script analysis module, combining with the training of a LoRA model and a Stable Diffusion frame, achieving the multi-dimensional control of the standing position, action and scene style of a character through a Regional Prompter plug-in, a ControlNet plug-in and an Adtailer plug-in, and generating a key frame picture with high consistency; and the local redrawing module repairs details through segmentation and Inpaining technologies, and finally synthesizes a cartoon or a video. According to the method, the problems of inconsistent roles and incoherent scenes of pictures generated by an existing AI tool are solved, the controllability and efficiency of the generated content are remarkably improved, the manual adjustment cost is reduced, and the method is suitable for automatic generation of cartoon creation and story explanation videos.

The invention provides a metadata processing acceleration method, electronic equipment and a storage medium, and relates to the technical field of distributed storage. According to the technical scheme, the acceleration card obtains the metadata request, the metadata is cached to the cache module of the hybrid storage architecture based on the dynamic cache management strategy, and the acceleration card directly queries the cache and controls the network card to directly construct the response packet to return when the cache is hit, so that the data processing efficiency is improved. According to the method and the device, the problems of high delay and CPU resource scrambling and the like caused by the fact that a metadata request depends on a CPU to analyze a network protocol and inquire software cache in the prior art can be solved, so that the technical effects of remarkably reducing metadata processing delay, improving metadata throughput, reducing CPU occupancy rate, optimizing hardware resource utilization rate and reducing cross-node synchronous bandwidth occupancy can be achieved.

The invention relates to the technical field of image restoration, in particular to a diffusion model image restoration method based on regional mask and dynamic exit, and mainly solves the technical problems of high calculation overhead and iteration step number redundancy of an existing diffusion model image restoration method. According to the method, on the basis of an extension architecture of encoding and decoding, a UNet denoising network and a ControlNet conditional constraint module, on the basis of retaining the core functions of an existing encoder, an existing decoder and an existing Unet denoising network, a space region mask generation sub-module, a back diffusion dynamic exit module and the ControlNet conditional constraint module are creatively integrated; and a triple optimization architecture of'constrain structure protection, space redundancy reduction and time step number reduction 'is formed, so that the structure consistency is met and efficient acceleration is realized during image restoration.

The present invention discloses a policy control method, apparatus and system, relating to the field of mobile communications. The policy control method includes: in response to a terminal switching from a first system to a second system, an access control network element of the second system determines whether policy retention ends according to policy retention parameters, where the first system is a 4G system and the second system is a 5G system, or the first system is a 5G system and the second system is a 4G system; in the case where policy retention does not end, the access control network element of the second system does not send updated policy control parameters to the terminal and the radio base station to which the terminal is connected. Embodiments of the present invention enable the terminal to maintain the original policy control parameters for a period of time by using policy retention parameters after the terminal switches systems, thereby improving the stability of terminal access.

The invention discloses a cloud environment VPN service disaster recovery method, a product, equipment and a medium, and relates to the technical field of cloud computing, and the method comprises the steps: periodically synchronizing the control plane data of a cloud management main environment in a cloud management platform to a cloud management standby environment; when the cloud management platform currently meets a preset cloud environment switching condition, starting a disaster recovery switching process of the cloud management platform; destroying the cloud management service of the cloud management main environment, and starting the cloud management service of the cloud management standby environment to switch the cloud management standby environment into a new main environment; drifting a mapping relation between a logic address of a message queue in the cloud management platform and an original physical address based on the physical address of the new main environment, and updating an OVN-SB physical address set recorded in a VPN gateway node based on a physical address set of each management node in the new main environment; therefore, the VPN gateway node is controlled to communicate with the new main environment and perform VPN service. When the cloud management environment is switched, the VPN gateway node can adapt to the change of the address of the cloud management environment so as to carry out VPN service.

The invention provides an embedded part group precision control method for wind tunnel construction, and belongs to the technical field of wind tunnel construction, and the method comprises the steps: building an initial control network, dividing embedded part groups in a segmented manner, and determining the position of an optimal control point through an iteration experiment method and a graph theory network model; establishing an error propagation mathematical model to describe a measurement error propagation rule, performing control point position optimization calculation by applying a double-layer game optimization algorithm and a cross subwolf optimization algorithm, calculating three-dimensional coordinates of the embedded part by combining a resection method and a forward intersection method, and implementing real-time monitoring and dynamic adjustment of the laser tracker; and finally, overall precision verification is carried out through the total station and the laser scanner, and the technical problem that accumulated error propagation is difficult to effectively control in the installation process of the wind tunnel embedded part group is solved.

The invention discloses a corn leaf disease image generation method and device based on a ControlNet and LoRA enhanced Stable Diffusion model, and relates to a corn leaf disease image generation method and a corn leaf disease image generation device based on a ControlNet and LoRA enhanced Stable Diffusion model. Belongs to the technical field of image processing. According to the method, a data set covering seven types of corn leaf diseases is constructed, and a Stable Diffusion model integrating ControlNet and LoRA is trained on the basis of the data set so as to generate an image of a corresponding disease type. Afterwards, the generated image is combined with a real image to be used for training a Swin Transform model and generating a vivid corn leaf disease image, the problems of scarcity of field data and insufficient diversity are solved, and the effectiveness of the image in a disease recognition task is verified through quantitative evaluation.

The application provides a communication method and device, the method comprises: a session management function network element acquires an interface identifier; the session management function network element sends an address of a user plane function network element and the interface identifier to a first network element, the interface identifier is used for the first network element to determine an interface corresponding to the interface identifier, and the address of the user plane function network element and the interface corresponding to the interface identifier are used for the first network element to control the user plane function network element. In the communication method of the embodiment of the application, the UPF can realize that other types of control plane network elements of non-SMF type control the UPF network element, and the UPF network element can be isolated and operated based on different configurations of the SMF network element and other network elements, and the same message is processed in parallel, so that multiple types of controllers control the same UPF network element.

A slice control method and apparatus are provided. The method includes: a policy control network element receives, from a slice access control network element, slice access status information of a network slice, the slice access status information comprises information indicating a network slice traffic bandwidth of the network slice; determines, based on the current slice access status information of the network slice, that the network slice traffic bandwidth exceeds a corresponding maximum value allowed by configuration; generates, in response to the determination, first session policy control information for a first session in the network slice; and sends the first session policy control information to a session management network element corresponding to the first session, the first session policy control information being for policy control on the first session.

The invention provides a data acquisition gateway hot redundancy system and hot redundancy method of an industrial control system. The data acquisition gateway hot redundancy system comprises a control gateway and a plurality of sets of data acquisition gateways, the control gateway is provided with an MQTT service, a database and a hot redundancy registration service; the data acquisition gateway is provided with a hot redundancy client service; each set of data acquisition gateway comprises at least two data acquisition gateways, main and standby registration is carried out on the control gateway through a hot redundancy registration service, and a data acquisition gateway registration message, a data acquisition gateway hop message, a main and standby switching message and a database storage message are transmitted through an MQTT service. According to the invention, the problem that the synchronization of the intermediate variables cannot be ensured after the data acquisition gateway in the industrial control system network fails is avoided, the redundant equipment of the data acquisition gateway can quickly replace the original data acquisition gateway, the intermediate variables are synchronized in time, and the unavailable time of the control system in an overlong adaptation stage caused by redundancy switching is reduced.

The invention provides an intelligent design method for a subway room layout based on Stable Diffusion. The method comprises the following steps: carrying out feature extraction on multiple types of plane drawings of actual engineering, generating a space division heat map based on a room center point by utilizing a region growing algorithm, and constructing a heat map-layout sketch pairing data set; a two-stage training strategy is adopted, a ControlNet model is firstly trained to learn a spatial constraint relation, and then LoRA is trained to carry out efficient fine tuning on parameters; room agent points are set according to design requirements, a heat map is generated through a region growing algorithm, and the trained ControlNet model is combined with LoRA to achieve accurate translation from the heat map to an arrangement diagram. According to the method, the condition control capability of the ControlNet and the parameter efficient fine tuning advantage of the LoRA are creatively fused, the generation quality is guaranteed, meanwhile, the computing resource requirement is remarkably reduced, and the design efficiency and the resource utilization rate are improved.

The invention relates to the technical field of ocean engineering large LNG module construction, in particular to an LNG module general assembly closure space precision control method. The method comprises the following steps: S1, establishing a measurement control network which comprises a plane control network and an elevation control network; s2, performing three-dimensional coordinate measurement by using a total station; s3, observing the distance from the to-be-fixed point to at least two control points by using a free station setting technology; s4, carrying out space measurement on the large steel structure; and S5, according to a measurement result, carrying out dynamic adjustment and optimization on the installation of the steel structure. The folding and butt joint precision is improved from the traditional centimeter level to the millimeter level, the situation of interface dislocation is greatly reduced, and the overall structure quality is guaranteed; one-time successful closing can be achieved, the long rework period caused by insufficient precision is omitted, the construction progress is accelerated, the project can be put into use earlier, and benefits are created; manual correction, material waste and mechanical machine-team cost are reduced, and the construction cost is reduced.

The application provides a sandwich combination structure lower hanging steel beam coordinate precision control method, and belongs to the technical field of wind tunnel construction. The application establishes an independent reference control network, sets a forced closed control point to block error linear transmission, calculates the lower hanging steel beam camber, and offsets the dead load deflection through reverse prefabricated bending processing. A buried part rigid positioning frame is installed and the position deviation is monitored. A hydraulic synchronous jacking device is used to iteratively adjust the posture of the steel beam. Pre-stressed tension is applied to realize reverse arch shaping. Finally, the least squares adjustment technology and the minimum spanning tree optimization algorithm are used to reasonably distribute the section cumulative error between the forced closed control points, thereby solving the technical problem of excessive steel beam coordinate precision caused by large-span multi-section construction cumulative error.

The application provides a method for addressing a policy control network element, an application-side network element and a control plane network element. The method comprises the following steps: obtaining the device address of a policy binding network element search database network element based on the local static data configuration information of the application-side network element; sending a control plane network element query message to a corresponding target policy binding network element search database network element according to the device address of the policy binding network element search database network element, so as to query the address of a target control plane network element in the target policy binding network element search database network element according to the control plane network element query information; sending a policy control network element address query request to the target control plane network element according to the address of the target control plane network element; and receiving the query result corresponding to the policy control network element address query request sent by the target control plane network element. The application avoids the problem that the application-side network element cannot obtain the IP address of the policy control network element according to the user IP address information.

The invention discloses a vehicle body controller, a control system, a vehicle, a control method, a device and equipment. The vehicle body controller comprises a gateway module, a plurality of control modules and a processing module. And the gateway module is used for communicating with a network outside the vehicle body controller. And the plurality of control modules are used for performing various different function control on the vehicle body. The processing module is connected with the gateway module and the control module, and is used for controlling the working states of the gateway module and the control module. Therefore, the cost of the whole vehicle can be reduced, vehicle body wiring is reduced, vehicle body weight is reduced, and stability is improved.

The invention relates to the technical field of brewing process intelligent control, and discloses an artificial intelligence-based deer wine production process optimization control method. The method comprises the following steps: configuring a multi-source sensing unit array integrated with a thermosensitive sensor, a humidity-sensitive sensor and an image collector, and synchronously collecting temperature, humidity and appearance data in a fermentation process; carrying out multi-modal feature fusion through a machine learning fusion engine, and generating a production state evaluation vector; constructing a virtual simulation platform for operating a physical mechanism model, and performing simulation deduction based on the vector to generate a simulation control signal; deploying an edge computing control grid, and generating a control strategy in real time by each node according to local data; and integrating the information through the data exchange middleware, and analyzing and optimizing the control instruction stream. According to the method, interactive optimization of digital simulation and a physical process and cooperative control of center planning and edge execution are realized, and the accuracy, the adaptability and the product stability of production process control are improved.

This invention discloses a service-oriented method, apparatus, and electronic device. The method is applied to a policy control network element and includes: sending a service registration request message, the service registration request message including configuration information of the policy control network element; and receiving a service registration response message. The policy control network element provides network function services, the network function services including at least one of home policy control service and visited policy control service, and the configuration information of the policy control network element includes relevant information of the network function service.

A policy association processing method, an access control network element, a computer-readable storage medium and an electronic device. The policy association processing method comprises: receiving capability information of a user equipment; in response to the capability information containing first indication information, establishing a subscription relationship for user subscription data with a user subscription data storage network element, wherein the first indication information indicates that the user equipment supports an access control network element in issuing a user equipment policy to the user equipment; and in response to the user subscription data sent by the user subscription data storage network element containing second indication information, not establishing policy association with a policy control network element, wherein the second indication information indicates that the access control network element is prohibited from establishing policy association with the policy control network element. The method enables more flexible and efficient processing of policy association, so as to adapt to network environments and user requirements, thereby providing better network service experience for users.

The invention relates to the technical field of man-machine interaction, and discloses a multi-modal AI and emotional intention recognition three-dimensional content real-time generation method, which integrates a multi-modal AI collaborative generation module, a dynamic emotional intention recognition module, a three-dimensional content real-time generation module and a holographic software and hardware collaborative module, the method comprises the following steps: realizing an immersive holographic interaction and multi-modal AI collaborative generation module, constructing a unified semantic space by adopting CLIP + VATT, analyzing an instruction by adopting LLM to generate parameters, generating 2D content by adopting Diffusion, converting NeRF into a textured 3D model in real time, and realizing sketch / semantic driven parameterization generation by combining ControlNet and LoRA. According to the scheme of the invention, the breakthrough efficiency can be improved, and the AI driven automatic generation technology is realized; a traditional 3D content production process which needs to be completed in several days can be compressed to be completed in several minutes by means of collaborative optimization of models such as Point-E, NeRF and Diffusion and combining ControlNet structured control and LoRA low-rank fine tuning, and the modeling efficiency is integrally improved.

The application provides a prism remote control system and method, a user terminal sends a control command to a server, a control terminal obtains the control command from the server and converts the control command into a control signal to send to a control device, the control device controls the working state of a stepping motor and a lifting motor respectively through the control signal to control the horizontal rotation and vertical rotation of the prism, so as to remotely adjust the azimuth angle and vertical angle of the prism. By using the application, the labor cost of control network re-measurement can be effectively reduced without affecting the application of other observation scenes of the prism and the accuracy of control network re-measurement results.

The invention relates to the technical field of pharmacy and biology, in particular to a high-content drug screening method and system based on ControlNet-PPO. The method comprises the following specific steps: according to a current cell state, adopting a PPO algorithm reinforcement learning strategy to generate a combined action instruction for controlling release of various drugs; applying drug disturbance to cells based on the combined action instruction, and obtaining a disturbed cell image; inputting the cell image as a condition into a pre-trained ControlNet, and generating an expected cell state image under the action instruction; calculating a composite reward value based on a state difference between the expected cell state image and a normal cell reference image; and updating the reinforcement learning strategy by using the composite reward value, and iteratively optimizing the drug combination action until the cell state is converged to be close to the normal state, thereby obtaining an optimal drug combination path. By adopting the method, the synergistic effect of multiple drugs can be effectively captured and utilized, and the method has the characteristic of high optimization capacity.