504 results about "Control network" patented technology

The invention provides an intelligent layout method, system and device for a land survey control network and a medium, and the method comprises the steps: building a space-time dynamic terrain model based on the obtained measurement data of a construction region; generating a candidate control point set in the construction area according to a preset layout density requirement; based on the space-time dynamic terrain model, performing stability analysis on each candidate control point in the candidate control point set to obtain a stability index of each candidate control point; based on the space-time dynamic terrain model, any two candidate control points in the candidate control point set are used as candidate control point pairs for time sequence intervisibility analysis, and time sequence intervisibility indexes of the candidate control point pairs are obtained; establishing a multi-objective optimization model according to the stability index and the time sequence intervisibility index; and solving the multi-objective optimization model by adopting a multi-objective evolutionary algorithm, and outputting a control network layout scheme set. By adopting the method, the point distribution quality of the control network can be 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 discloses a multi-unmanned aerial vehicle confrontation task execution method and device based on model reinforcement learning, and a medium, and the method comprises the following steps: inputting the current local observation into a reinforcement learning control network for each airframe in an own unmanned aerial vehicle group, and outputting meta-actions (including movement and attack), performing confrontation interaction with the enemy unmanned aerial vehicle group to obtain finite confrontation experience data; the collected historical interaction experience is used for supervised learning of a world model, so that the world model can approach probability distribution of an interaction rule of a real environment; data expansion is carried out on real interaction data by using a world model, an action network and an evaluation network are trained on expanded empirical data, and strategy optimization and parameter updating of a multi-unmanned aerial vehicle system are realized; repeating the process, and sequentially carrying out experience collection, world model training and enhancement strategy updating; and finally, the trained action network is reserved and is used for outputting a specific action strategy in an actual confrontation task.

The invention discloses a video generation method based on a body mask, belongs to the technical field of artificial intelligence, and can solve the problems that an existing body world model is inconsistent in an action space and a pixel space, is sensitive to the change of a visual angle of a camera, and is not uniform in architecture among different body structures. The method comprises the following steps: S1, determining a mask sequence with a body according to a target video; s2, encoding the body mask sequence and the initial frame image of the target video respectively to correspondingly obtain body mask features and image encoding features; s3, inputting the body mask features into a control network module to obtain injection features, and inputting the image coding features into a backbone network of a video generation model to obtain backbone layer features; and S4, fusing the injection feature and the trunk layer feature to obtain a fused feature, and generating a prediction video according to the fused feature. The method is used for generating the predictive video with the body.

The invention discloses a multi-branch industrial ventilation intelligent regulation and control system and method based on a PLC. According to the system, a closed-loop control network is formed by an infrared sensor, a wind speed sensor, a PLC (Programmable Logic Controller), an air door control cabinet, an electric valve, a frequency converter, a frequency conversion fan and an upper computer. The infrared sensor is responsible for monitoring the running state of each production line in real time. The wind speed sensor is used for detecting the wind speed in the wind pipe and verifying wind quantity balance. The PLC processes all sensor data and outputs a control instruction. On one hand, the opening degree of the electric valve is adjusted through the air door control cabinet, and on the other hand, the rotating speed of the fan is adjusted in real time through the frequency converter. The upper computer is used for system parameter monitoring, threshold setting and data interaction with the manufacturing execution system. According to the system, on-demand adjustment of multi-branch ventilation is achieved through intelligent closed-loop control, the problem of response lag of a traditional control mode is effectively solved, the dust removal efficiency and the energy utilization rate are remarkably improved, and safe and efficient operation of the industrial environment is guaranteed.

The invention provides a routing control method, which is applied to network equipment with multi-link access capability, and comprises the following steps: carrying out service identification on a to-be-forwarded data flow of the network equipment to obtain service type information of the data flow; obtaining evaluation indexes of a plurality of candidate links of the network equipment; evaluating the plurality of candidate links based on the evaluation index and the service type information to obtain a comprehensive quality score; selecting a target link from the plurality of candidate links according to the service type information, the evaluation index and the comprehensive quality score; and controlling the network equipment to transmit the data flow through the target link. The invention further provides a multi-service parallel routing method, electronic equipment, a computer readable medium and a computer program product. According to the invention, differentiated routing control of multiple service types is realized, quality fluctuation caused by switching of operators is reduced, and the stability and the intelligent level of network transmission are remarkably improved.

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 discloses an industrial network fault intelligent diagnosis method and system based on multi-source data, and the method comprises the steps: synchronously collecting data from a plurality of data sources of an industrial network, and extracting a time sequence statistical feature, a flow entropy feature and a protocol conformity feature to form a multi-dimensional feature vector; establishing a dynamic baseline model by adopting a sliding window online learning method, and calculating a comprehensive anomaly score for anomaly detection; the fault suspicion degree is calculated based on the equipment incidence matrix and the fault propagation model to realize fault source positioning; carrying out fault type identification and root cause analysis by adopting Bayesian reasoning and a knowledge rule base; and outputting a structured diagnosis report containing the fault source, the type, the root cause and the disposal suggestion. According to the invention, early warning, accurate positioning and intelligent diagnosis of industrial network faults are realized, and the operation and maintenance efficiency, safety and reliability of the industrial control network are significantly improved.

The invention discloses a distributed environment parameter intelligent early warning method based on general control network flow-oriented computation, and relates to the technical field of intelligent early warning of the environment of an active launching platform, and the method comprises the steps: dividing the environment of the launching platform into a plurality of monitoring points, and collecting environment and key equipment operation state data; calculating priority coefficients of the monitoring points, and judging whether the key safety parameters meet requirements or not; establishing minute-level and hour-level sliding windows under a streaming computation framework, extracting multi-time scale parameter fluctuation characteristics, calculating a stability index, and comparing and analyzing the stability index with a threshold value; for adjacent monitoring nodes, multi-dimensional parameter consistency is calculated, an overall consistency index is obtained, and discrimination of a single-point link fault and a global environment anomaly is realized; and a link tracing log is automatically generated, and a basis and parameter optimization correction are provided for abnormal event tracing. According to the method, efficient monitoring and intelligent early warning of multi-point environment and equipment parameters of the movable launching platform can be realized, and the safety protection accuracy and timeliness are improved.

The invention discloses an edge emergency lighting control network system based on a hierarchical bus domain, which relates to the technical field of emergency lighting and mainly comprises a hybrid topology network, a plurality of wired communication links are constructed by a host, a main gateway, a sub-gateway and sub-equipment in a wired connection mode; the link management module is configured to switch a wired communication link based on a user demand; and the dynamic routing module is configured to start a corresponding single standby wireless link to establish standby communication connection in response to detection of disconnection of the wired communication link between any communication node pair, and control the sub-equipment to start an emergency ad hoc network mode in response to detection of disconnection of both the wired communication link and the single standby wireless link to establish standby communication connection. And transmitting the data to the host through the adjacent normal wired communication link by performing multi-hop wireless relay communication with the adjacent sub-equipment. According to the invention, the problems of inflexible deployment and high cost of a traditional mode are solved, and the survival and reliability of the system in an emergency state are ensured.

The invention discloses an industrial firewall device based on time sequence atlas detection, which relates to the technical field of industrial control network security and comprises the steps of protocol identification, feature extraction, time sequence atlas construction, baseline modeling, online detection and response protection. Extracting time sequence characteristics such as a request-response relationship, a time interval and an event sequence, and converting the time sequence characteristics into a time sequence graph on which nodes correspond to communication events and edges correspond to time sequences; and generating a baseline map based on normal data, comparing the deviation between the current map and the baseline map in real-time communication, and executing a protection action after judging abnormality. The device for realizing the method comprises a data acquisition module, a feature extraction module, an atlas modeling module, a detection analysis module, a protection response module, a man-machine interaction module and a wide-voltage power supply module which are electrically connected in sequence. According to the method and the device, hidden time sequence attacks can be accurately identified, multiple industrial protocols are supported, and the adaptive resource-limited industrial equipment is designed in a lightweight manner.

The invention relates to the technical field of mining face rock movement data analysis, in particular to a coal mine surface deformation monitoring method. The method specifically comprises the steps that a ground rock movement observation control network is established, and ground control points are arranged for combined measurement; a ground rock movement observation station is established, rock movement observation lines are set, and observation points are buried; the observation points are comprehensively measured before mining, and original observation data are obtained; during mining, collecting observation data in real time, and calculating and drawing deformation analysis after mining of the working face; and calculating surface movement parameters according to the observation data. According to the method, the technologies of GNSS-RTK observation, airborne LiDAR monitoring, InSAR monitoring and the like are utilized, modeling is conducted on the surface form before stoping, a database is established, along with stoping, real-time data and modeling data are compared, and the deformation amount is calculated. And large-area, all-weather and continuous observation of data can be realized, so that the research level of the surface movement rule of the mountainous area is further improved.

The invention discloses an industrial intelligent control system and method, relates to the technical field of industrial automatic control, and mainly aims to solve the problems of low data cross-layer interaction efficiency, system global optimization, poor safety, poor expansion capability, difficulty in function upgrading and difficulty in fusion of AI control and traditional control in the existing industrial intelligent control scheme. The system comprises a basic control layer, an intelligent I / O layer and an intelligent control layer. The basic control layer comprises an extended I / O cabinet, a common controller and a main control network A / B; the intelligent I / O layer comprises an intelligent I / O cabinet and an intelligent I / O switch; the intelligent control layer comprises an intelligent controller, a credibility regulator, a hyper-fusion module and an intelligent middle table, an end-edge-cloud intelligent collaborative architecture is constructed, the computing power of a DCS is enhanced, the development collaborative safety capability of an intelligent algorithm of the system is improved, and safety fusion and smooth transition of AI intelligent control and traditional control are promoted.

The invention discloses a construction method and system of a three-layer inclined quadrangular pyramid grid structure, and relates to the technical field of building steel structure construction. The method comprises the steps of building an intelligent monitoring control system, carrying out BIM collaborative assembly and calibration, carrying out multi-dimensional graded lifting, carrying out adaptive attitude correction, carrying out BIM collaborative in-place recording and the like. The corresponding system comprises an intelligent monitoring control module, a BIM collaborative management module, a hydraulic synchronous lifting execution module, a posture correction module and an unloading in-place module. Through deep integration of a distributed control network and a BIM technology, dynamic monitoring, self-adaptive adjustment and visual management of the construction process can be realized, the accuracy, safety and efficiency of construction of the three-layer inclined quadrangular pyramid grid structure are improved, and the method is suitable for large-span steel structure grid installation engineering.

The invention belongs to the technical field of edge computing, particularly relates to a water conservancy gate remote control system and a method thereof, and aims to solve the problem that a centralized cloud center architecture adopted by existing traditional water conservancy gate remote control cannot realize effective consideration and unified optimization in the aspects of real-time performance, reliability, economical efficiency, intelligent cooperation and the like. According to the scheme, the system comprises a multi-source data acquisition module; the collaborative decision-making module is connected with an edge calculation module, the edge calculation module is connected with a data processing module, and the data processing module is connected with the multi-source data acquisition module; according to the method, a cloud, edge and end collaborative multi-stage edge computing architecture is constructed, and a distributed algorithm based on a market mechanism is introduced, so that unified optimization and fundamental improvement on multi-dimensional targets such as low-delay real-time control, network interruption autonomy, computing resource elastic sharing and AI model safety evolution are realized.

The invention relates to the technical field of intelligent control network application programming, and discloses an application programming method based on an ArtNet module, which is applied to an intelligent control network. The method comprises the steps that an ArtNet module storage medium is partitioned, firmware is received and verification information is stored, the validity of the firmware is judged, the firmware is transmitted to a main controller according to a preset upgrading protocol, the main controller distributes updates, and the ArtNet module clears temporarily stored data. According to the application, the intelligent control network master controller is an internal communication bus master device, the function nodes maintain the original access logic, only an ArtNet module is newly added as a slave device to access the internal bus, an independent communication link is established through a universal interface and the master controller, the Ethernet and the external control bus are externally connected, original hardware and an IAP protocol do not need to be changed, and the communication efficiency is improved. Equipment transformation and code rewriting cost caused by module expansion are avoided; based on the programming process, original IAP logic is not interfered, repeated burning caused by data residue is avoided, and the method is suitable for firmware upgrading of intelligent control networks such as moving head lamps, stage lighting and intelligent lighting.

The invention relates to a digital twinning-based multi-device dynamic cooperative control method for a cut tobacco production line, and the method comprises the steps: 1-5, constructing a digital twinning body of the cut tobacco production line through employing a three-dimensional unified modeling frame of a geometric model, a physical model and a behavior model, constructing a distributed cooperative control network architecture based on edge calculation, and constructing a multi-device dynamic cooperative control system of the cut tobacco production line; data interaction is realized among all layers by defining an interface function, modeling is performed on interaction among devices by adopting a GNN neural network, a global coupling relation quantitative model of a device cluster is established, time sequence alignment is performed on multi-sampling frequency data by adopting a time distortion function, abnormal data is detected and eliminated by adopting an anomaly detection method based on a mahalanobis distance, and the device cluster is obtained. A three-dimensional evaluation system of key indexes is constructed, a comprehensive evaluation function is calculated, a two-stage architecture of a steady-state optimization layer and a dynamic adjustment layer is adopted, and global collaborative optimization of the cut tobacco production line under a dynamic working condition is realized by combining digital twinning rehearsal verification, virtual and real millisecond-stage synchronization, three-stage early warning and fault collaborative self-healing.

The invention discloses a task allocation method and system based on an improved whale optimization algorithm framework, relates to the technical field, and is used for optimizing order type adaptive cross-domain traffic control network task allocation and improving the key task response capability of a time-sensitive traffic system. ICWOA initializes a population through Chebyshev mapping, and introduces Levy flight disturbance to enhance the optimization ability; dynamically balancing local and global search by means of adaptive parameters; relieving population diversity attenuation through randomness retention, diversity maintenance and boundary constraint; dimension type pinhole imaging reverse learning is fused to reduce high-dimensional optimization dimension interference. According to the algorithm, the convergence speed and the solving precision are better, sub-second calculation time is kept under different task scales, the task distribution efficiency is improved, and the time-sensitive scene task success rate is remarkably improved. The method solves the problems that an existing algorithm is insufficient in adaptive order type'order application-order sending 'structure and prone to falling into local optimum, population diversity attenuation and calculation speed.

The invention discloses an abnormal behavior detection method and system for a distributed power supply dispatching control network, and relates to the technical field of intelligent power grids, the method comprises the following steps: a dispatching center issues a target power instruction Pc, each node collects actual output power Pa through an inverter and an intelligent electric meter, and the actual output power Pa is uploaded after time sequence alignment; constructing a trajectory offset index Fpy to perform offset degree analysis on a node power execution condition, constructing a time sequence consistency index Fts when an abnormality occurs, and detecting a synchronization condition of scheduling response between the nodes; fitting is carried out on the trajectory offset index Fpy and the time sequence consistency index Fts, a global abnormal state discrimination index Ane is constructed, and the abnormal diffusion risk is comprehensively evaluated; and generating a corresponding control instruction according to the evaluation information. According to the method, a complete process from power acquisition, offset detection to risk diffusion judgment and control execution is realized, and accurate identification and intervention on abnormal behaviors in a distributed power supply dispatching network are realized.

Tools can generate semantic information that indicates the purpose and contents of messages that are transmitted on a given network. In particular, for example, forensic tools described herein can discriminate between security issues, bugs, performance limitations, user errors, and the like.

The invention belongs to the technical field of industrial control network security, and discloses a self-adaptive anomaly detection method for resisting causal drift. Through a collaborative innovation technology chain of time-frequency coding (improving feature robustness)-reinforcement learning search (realizing structure self-adaption)-causal clustering (guaranteeing model robustness), three core challenges of causal drift, high calculation cost and lack of interpretability in industrial anomaly detection are systematically solved. Through systematic technical innovation, qualitative improvement is brought to the aspects of detection precision, operation efficiency, result interpretability and environmental adaptability, and a reliable, efficient and credible anomaly detection solution is provided for an industrial control system.

The invention provides a hyperbolic variable cross-section concrete bifurcated column steel mould system construction method based on a visualization technology, and belongs to the technical field of building construction. A steel grating back arris spacing calculation equation set and a template weight optimization equation set are adopted for carrying out template system optimization design; a total station is used for carrying out high-precision three-dimensional measurement lofting to establish a field coordinate control network, a supporting system and a formwork system are installed according to a preset numbering sequence, an optimal formwork combination scheme is determined by applying a formwork configuration knapsack algorithm, and the concrete compactness is monitored in real time by adopting a vibration quality evaluation model. A dynamic planning optimal demolding sequence algorithm is used for determining a demolding sequence, and a complete construction quality control system is established through organic combination of a visualization technology and an intelligent algorithm. The technical problem that in the construction process of the hyperbolic variable cross-section concrete bifurcated column, a formwork system is difficult to accurately adapt to a complex geometrical shape, and consequently the forming quality is not stable is solved.

The invention discloses a smart home screen localization control system and method based on edge computing, and belongs to the technical field of home equipment control. According to the method, a control network is formed by building a home scene edge computing node and a local control link of an intelligent home screen, the link transmission state is recorded, instruction behaviors are marked, a bimodal control feedback information set is generated, a pointing characteristic value is calculated based on the feedback set, instruction priority is evaluated, and a control sequence is output in sequence. The system correspondingly comprises a control link establishment module, a state recording module, a feedback set generation module, a priority evaluation module and a main control module. According to the invention, cloud dependence is reduced through localized link establishment, efficient instruction scheduling is realized through bimodal feedback and priority evaluation, the problems of response lag and unreasonable resource allocation of existing smart home control are solved, and the real-time performance and reliability of smart device control in a home scene are improved.

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 stable diffusion model lawn supplementing method based on hidden space feature editing. The method comprises the following steps: processing an input image by using a semantic segmentation network, and generating a binary mask of a lawn area; inputting the input image, the binary mask and the text prompt into a pre-trained neural network model; performing low-resolution lawn restoration, and outputting a low-resolution restoration image; the neural network model is a repair model which takes a Stable Diffusion XL network as a generation trunk and an Inpaintg-ControlNet network as a condition control network, and the like. The invention provides a lawn restoration method of a stable diffusion model based on hidden space feature editing, which can realize pixel-level accurate positioning and editing of a lawn area and effectively avoid any interference to a non-lawn area in an image.

The invention relates to the field of network security protection, and discloses an unmanned aerial vehicle management and control network security protection method based on time inquiry encryption, which comprises the steps of periodically embedding time inquiry tokens between a management and control center and an unmanned aerial vehicle through time synchronization detection modules deployed at two ends of an unmanned aerial vehicle communication link; performing cross-cycle dynamic comparison on the extracted time domain perturbation features, and constructing a time response stability vector; based on the time response stability vector, analyzing a jump trend of receipt behaviors in a specific time period by using a sliding window anomaly recognition algorithm, and extracting a suspicious time window set caused by pseudo-synchronization injection; performing index mapping on the corresponding control instruction and receipt data in the suspicious time window set; and generating a time domain protection encryption instruction sequence for link re-authentication based on the suspicious link instruction map in combination with a dynamic key evolution mechanism and a node-level access control strategy. The method has the advantage of improving the security defense capability of the unmanned aerial vehicle management and control network.

A method for determining a policy control network element, in which a mobility management network element obtains first indication information, where the first indication information indicates to select a same policy control network element as a policy control network element for access and mobility management and a policy control network element for session management; the mobility management network element receives a session establishment request from a terminal for establishing a first session; and the mobility management network element sends second indication information and information about a first policy control network element to a session management network element based on the first indication information, where the second indication information indicates to select a same policy control network element as a policy control network element used for access and mobility management and a policy control network element used for session management of the first session.

The invention relates to the technical field of electric power systems, and discloses a network construction type energy storage converter control method and device and a related product. The method comprises the following steps: constructing a corresponding MPC controller based on a pre-constructed discrete state space equation of a to-be-controlled network-building type energy storage converter; the MPC controller comprises a cost function and a constraint condition; the cost function comprises a state error term; performing optimization solution on the MPC controller by adopting a preset optimization algorithm to obtain an active power reference value and a reactive power reference value when the cost function reaches the minimum; and utilizing a virtual synchronous generator module and a voltage and current double closed-loop control module to generate a pulse width modulation signal based on the active power reference value and the reactive power reference value so as to control the target network-building type energy storage converter. According to the invention, the problems of current impact, power angle instability and the like which are easy to occur in the grid-forming type energy storage converter during voltage drop can be effectively solved, and stable grid-connected operation of the grid-forming type energy storage converter under the working condition of power grid voltage drop is ensured.

The invention provides an image generation method and device based on live-action fusion, equipment and a medium. The method comprises the following steps: S10, performing semantic element extraction on a style graph, and generating an element mask, a style description vector and a style depth graph; s20, carrying out structural feature preprocessing on the product graph to generate a contour line draft graph, a product depth graph and a scene description vector; s30, performing illumination parameter calculation on the style graph, the element mask, the style description vector, the style depth graph, the contour line draft graph, the product depth graph and the scene description vector by adopting a dynamic light matching algorithm to generate an illumination parameter set; and S40, inputting the contour line draft image and the product depth image into a control network of an image generation model, and inputting the element mask, the style description vector and the illumination parameter set of the style image into a cross-modal encoder to generate a final fusion image.

The invention discloses a traffic signal management and control method and device based on AI edge calculation, and relates to the technical field related to communication, and the method comprises the steps: dividing an intersection passing right into space-time resource slots through real-time interaction between a roadside edge node and a vehicle-mounted terminal; when multiple vehicles request the same slot position, detecting occupation conflicts of the same space-time resource slots, and starting block chain auction fair distribution; and adjacent edge nodes share the result and generate a digitally signed signal control instruction through distributed machine learning collaborative optimization so as to realize signal lamp switching management and control. The technical problems that in traffic signal control, fixed timing is not matched with actual traffic flow changes, trunk line green wave coordination is difficult to adapt to dynamic traffic flow changes, cloud control network delay and fluctuation are caused, and traffic signal disorder is easily caused by vehicle priority passing are solved. The technical effects of improving the traffic efficiency and the real-time reliability of traffic signal management and control when the priority vehicle and the common vehicle are mixed, enhancing the cooperative control capability of the adjacent intersections and reducing the cloud control pressure are achieved.