22 results about "Coverage control" patented technology

The invention relates to the technical field of communication, and discloses a sea area wireless network coverage method and device and a computer readable storage medium, and the method comprises the steps: obtaining the historical link performance, real-time marine environment data and business load information of a target sea area; constructing a sea surface electromagnetic wave propagation attenuation dynamic prediction model based on a gated circulation unit; and in combination with the prediction result and the service demand, jointly optimizing the base station transmitting power, the antenna beam pointing angle and the subcarrier resource allocation, and issuing a regulation and control instruction. The system comprises a data acquisition module, a propagation modeling module, a resource scheduling module and an instruction execution module. According to the invention, through deep fusion of marine environment physical field perception and wireless communication system control, a dynamic coverage regulation and control mechanism driven by a sea condition is established; the provided sea surface electromagnetic wave propagation attenuation dynamic prediction model can pre-judge the signal attenuation trend under the complex sea condition in advance, so that network resource scheduling has perspectiveness.

The application relates to integrated chip testing technology and discloses a test method for an SOC system, which comprises the following steps: deploying a test scene on an SOC system and generating a first test case corresponding to the test scene, wherein the test scene comprises at least one of a verification IP, a virtual machine compiler and an FPGA platform compiler; determining a test function according to a test requirement and generating a second test case corresponding to the test function according to the first test case, wherein the test function comprises at least one of a connection line detection, a timing detection, simulation information control, simulation waveform control, coverage control and DUT code control; and executing all the second test cases on the SOC system to obtain a test result. The application further discloses a test device for the SOC system, a computer device and a computer readable storage medium. The application aims to improve the test efficiency of the SOC system.

The invention discloses an intelligent vehicle system based on single Beidou multi-source data acquisition, which belongs to the technical field of non-electrical variable control or adjustment systems and comprises six series modules, namely a multi-source data acquisition module, a space-time alignment module, a multi-source fusion module, a scene adaptive sensing and path generation module, a motion control and execution module and an emergency obstacle avoidance and safety control module. According to the system, multi-source data space-time alignment is realized by taking single Beidou GNSS time service data as a unified reference, credibility evaluation is performed on a single Beidou positioning state, a fusion weight is dynamically adjusted, an adaptive driving path is generated in combination with positioning credibility, closed-loop feedback is formed by motion control, and an emergency obstacle avoidance module can cover a control instruction at the highest priority. By the adoption of the system, self-adaptive fusion of multi-source sensing information is achieved only depending on a single Beidou positioning signal, the sensing control continuity of the system is guaranteed, Beidou positioning participates in operation decision, and the operation stability and safety of an intelligent vehicle in a complex environment are improved.

The application discloses a kind of multi-layer game reinforcement learning methods for intelligent group area coverage control, comprising: each intelligent agent in intelligent group is mapped as game player, and the task target of intelligent agent is combined to construct revenue evaluation mechanism, and form group game model;Based on the physical capability constraint of intelligent agent, construct perception model and communication model, design coverage efficiency, running safety, energy efficiency and communication collaboration evaluation index, and integrate as the vector revenue function of intelligent agent;TD3 model is used as the game player role of intelligent agent, and the association of reinforcement learning and group game is established;Multi-layer semi-distributed game reinforcement learning framework is constructed, and environment interaction is carried out, to solve the intelligent group area coverage control strategy satisfying Pareto Nash equilibrium.The application realizes the balance of individual and collective benefits, improves the calculation efficiency through semi-distributed iterative algorithm, and adapts to the solution demand of large-scale complex system.

In order to reduce power consumption, an access node may turn off transmissions from one or more rows or columns of antennas in a mMIMO array. To help prevent the beam from overshooting (i.e., going beyond) an intended area of coverage when the access node turns off transmission by one or more rows, the access node also increases the electrical down tilt of the beam (i.e., angle of depression) to help contain the beam within its intended area of coverage. To help prevent problems with SSB beam selection and / or beam switching, when the access node turns off transmission by one or more columns, the access node reduces the number of SSB beams that are transmitted while sweeping SSBs over the sector thereby reducing the overlap of the (now) wider SSB beams.

A dental triage and clinical risk assessment system (100), the system (100) comprising: a first user device (102) configured to receive patient-related dental information for remote dental assessment; a first user interface (104) within the first user device (102) that is configured to guide the patient's interaction by presenting structured symptom questionnaires, image acquisition instructions, and status notifications; a communication network (110) that is connected to the first user device (102) and configured to securely transmit patient-related dental information and control signals; a processing unit (112) connected to the first user device (102) via the communication network (110) and configured to perform automated dental triage and clinical risk assessment through coordinated data analysis decision logic and routing operations, wherein the processing unit (112) comprises: a data acquisition module (114) configured to receive patient-related dental information from the first user device (102); a data preprocessing module (116) configured to validate, normalize and structure the received dental information for analytical processing; a triage intelligence module (124) configured to analyze the structured dental information to generate a quantified urgency score and risk classification level using combined analytical logic; a decision support module (130) configured to assign the urgency score and risk classification level to a recommended dental care pathway; a nursing navigation module (134) configured to generate routing instructions corresponding to emergency referrals, scheduled consultations, teleconsultations or automated guidance; a learning and analysis module (144) configured to update internal analytical parameters based on confirmed clinical results; a storage unit (154) connected to the processing unit (112) and configured to store patient data, analytical results, priority points, routing decisions and result feedback for continuous system operation; a second user device (158), connected to the processing unit (112) via the communication network (110) and configured to receive triage outputs and recommendations for care pathways; and a second user interface (160) in the second user device (158), configured to display risk indicators, urgency points, patient data summaries and override controls for interaction with the clinician.

The invention provides a vehicle control method, system and device based on reinforcement learning and a medium. The method comprises the steps that vehicle state information and reference track information of a target vehicle at the current moment are acquired; performing rolling optimization solution through a model prediction control algorithm to obtain a control sequence of a coverage control time domain corresponding to the current moment; constructing a strategy network for inputting the reinforcement learning state vector into a pre-trained flexible action-evaluation network to obtain a front wheel steering angle correction amount at the current moment; and carrying out superposition processing on the first-item front-wheel rotation angle increment, the front-wheel rotation angle correction and the front-wheel rotation angle control quantity at the previous moment in the control sequence to generate the front-wheel rotation angle control quantity at the current moment. According to the method, the controller does not completely depend on a fixed vehicle dynamics model any more, so that the technical problem that the performance is reduced or even unstable due to the fact that the model is inaccurate in an existing algorithm is effectively solved, and high-precision trajectory tracking can still be kept under the complex and changeable real driving working condition.

The application discloses a stratosphere airship cluster area covering control method based on a clustering artificial potential field method, relates to the automatic control technical field, and comprises the following steps: establishing a stratosphere airship ground covering channel model, and distributing covering targets; obtaining expected covering deployment center positions of each cluster unit based on a clustering method; establishing a dynamic artificial potential field to obtain expected positions of the stratosphere airship cluster; establishing a stratosphere airship dynamics model, and designing a stratosphere airship dynamic tracking controller to track the expected positions of the stratosphere airship cluster. Therefore, the above method can realize adaptive dynamic covering of the stratosphere airship cluster to ground targets, reduces the influence of environmental wind on the stratosphere airship cluster covering task, establishes a dynamic artificial potential field unified framework, greatly reduces the complexity of the task, and effectively realizes tracking of the expected positions of the stratosphere airship cluster by designing the stratosphere airship dynamic tracking controller.

The invention discloses a reconfigurable intelligent surface enhanced coverage control method, device and equipment for a virtual power plant and a medium, which are used for solving the technical problem that the reconfigurable intelligent surface enhanced coverage control effect of the virtual power plant is poor. Comprising the following steps: collecting state information of each node in a virtual power plant, and generating a scheduling weight and a partition number of each node; calculating an estimated communication benefit value of each node, and generating a service assignment variable in combination with the scheduling weight; constructing a partition allocation scheme according to the service assignment variable and the number of partitions, and dividing the reflection unit to a plurality of sub-panels; calculating phases of the incident signal and the emergent signal of each reflection unit, and generating a reflection matrix; determining an emission vector according to the reflection path channel and the scheduling weight of each reconfigurable intelligent surface after adjustment of the reflection matrix; performing time slot resource allocation on each reconfigurable intelligent surface according to the service assignment variable and preset geographic sector mapping; and performing data transmission according to the transmission vector and the time slot resource allocation scheme.

Cover for covering an opening in a housing of a control unit, wherein the cover (30) is made of a metallic material, has a bottom section (32) and an edge section (34), wherein the edge section (34) extends obliquely from the bottom section (32) and has a number of tabs (36), wherein a bending area (38) is provided in the edge section (34) and a groove (40) is formed in this bending area, in the area of ​​which a wall thickness of the tabs (36) of the edge section (34) is reduced.

The embodiment of the invention provides a robot safety decision-making system and method based on uncertainty perception, and is applied to the technical field of robot control and artificial intelligence crossing. The method comprises an intelligent sensing module, a safety monitoring module and an execution module, the intelligent sensing module runs on a first computing platform, is internally provided with an uncertainty sensing neural network, processes a robot environment sensing task and outputs a system state, a sensing recognition result and a corresponding uncertainty score; the security monitoring module runs on a physically independent second computing platform, receives the data through a security communication interface, determines a security level by fusing a local physical sensor data decision and outputs a security control instruction; a main actuator controller and a safety actuator interface in the execution module receive a control instruction and a safety instruction respectively, and the safety actuator interface has the highest control priority and can cover the control instruction. According to the method, early warning can be performed in time and preventive measures can be taken when the deep learning model perceives that the deep learning model is unreliable.

The application discloses a 5G base station indoor coverage control method and system, relates to the field of 5G base station indoor coverage control, and is used for effectively controlling system energy consumption while ensuring key service communication performance, and comprises the following steps: acquiring a wireless signal measurement report of a user terminal in a base station coverage area and a probe signal echo characteristic of a base station itself; the probe signal echo characteristic comprises an echo time delay and strength; fusing the wireless signal measurement report and the probe signal echo characteristic, constructing and updating a real-time radio frequency environment map; comparing the real-time radio frequency environment map with a benchmark map, identifying physical environment changes and inferring obstacle characteristics; adjusting a beamforming direction and transmission power according to the physical environment changes and the obstacle characteristics; identifying key services, improving the priority of the communication quality of the key services when the beamforming direction and the transmission power are adjusted, and simultaneously coordinating and suppressing interference to adjacent areas.

The invention provides a whole-staff non-inductive positioning method and system for a large-range construction site in order to solve the problems that in the prior art, limitation still exists in the aspects of precision, response speed and coverage control, and high-precision, large-range and low-intervention positioning requirements in a complex construction site environment are difficult to meet. The method comprises the steps of building an electromagnetic shielding space, obtaining IMSI information of a mobile phone and achieving position tracking by combining a base station and a phased array radar cooperation mechanism. According to the invention, reliable acquisition of the IMSI of the mobile phone is realized by constructing the electromagnetic shielding space, and a brand new large-range, high-precision and non-sensitive personnel positioning scheme is provided by combining a cooperative working mechanism of the wireless communication base station and the phased array radar.

This invention discloses a synchronization method for a semi-Markov jumping neural network with measurement loss, belonging to the field of synchronization control technology for semi-Markov jumping neural networks. This invention can guarantee the mean-square global asymptotic stability of the error system when external disturbances are zero, and meet a preset disturbance attenuation level when external disturbances exist. The controller in this invention explicitly includes a non-fragile term structure, covering the control gain to realize error / uncertainty, avoiding the risk of "nominal design feasibility but implementation failure." This invention employs a dynamic event triggering mechanism to avoid Zeno risk at the mechanism level through "minimum trigger interval," and avoids performance degradation caused by long-term lack of updates through "maximum interval forced update." Dynamic variables achieve adaptive trigger thresholds, thereby reducing unnecessary transmissions while meeting performance requirements.

This invention relates to the field of intelligent control, specifically to an intelligent control method and system for green grain storage environment based on the Internet of Things (IoT). It includes: acquiring data; determining the dew point temperature of the outside air and constructing long-term potential moisture-affected prediction characteristics; constructing short-term actual moisture-affected response characteristics; determining the moisture-affected trigger intensity; calculating the number of effective diffusion areas within the grain storage facility where moisture initiation occurs; generating local control demand and global control demand; comparing the local and global control demand, determining control instructions based on the comparison results, and controlling the grain storage environment according to the control instructions. This invention can implement targeted and precise control to reduce energy consumption when the risk of moisture-affected conditions is concentrated in a localized area, and can promptly switch to global coverage control to ensure grain storage safety when the risk spreads to multiple areas.

The application discloses a projector multi-zone cooperative heat dissipation control method based on scene sensing and disturbance compensation, comprising the following steps: S1, collecting the mainboard SoC temperature, the light source module temperature, the power module temperature, the environment temperature, the signal source type, the running load, the frame average brightness and the brightness change rate in the same control cycle. The projector multi-zone cooperative heat dissipation control method and system based on scene sensing and disturbance compensation, by fusing the temperature, the signal source, the running load and the picture brightness change data in the same control cycle, form the heat dissipation control logic composed of the reference rotating speed, the scene rotating speed offset, the disturbance compensation rotating speed, the main auxiliary fan slave cooperation and the safety coverage control, so that the projector can dynamically adjust the main fan and auxiliary fan rotating speed according to different use scenes, different core heat zone states and different transient heat disturbance states.

The invention discloses a network attack-oriented cluster hierarchical dynamic coverage control method. The method comprises the following steps: constructing a system mathematical model based on an unmanned aerial vehicle cluster system network; the whole process is divided into a robust construction stage and a dynamic coverage stage, in the robust construction stage, a group of unmanned aerial vehicles in initial random distribution construct a communication topological graph meeting robust conditions, and in the dynamic coverage stage, a robust cluster formed in the previous stage is controlled to move, so that the robustness of the unmanned aerial vehicles is improved. The robust attribute of the cluster formation is maintained while dynamic coverage is considered, and the targets of dynamic coverage, collision avoidance, obstacle avoidance and robust maintenance are achieved at the same time in the task process. The method can effectively ensure that the cluster can still effectively eliminate the interference of malicious nodes in a network environment in which malicious network attacks possibly exist, so that the state values of normal nodes are quickly consistent, the dynamic region coverage task is efficiently completed, and the research and practical application of the existing method in the cluster cooperative control field are expanded.

The invention relates to the technical field of data processing, in particular to an intelligent cleaning workshop linkage system and a control method, and an execution device comprises a European style double-beam crane, an ultrasonic cleaning machine, a purging mechanical arm and a circulating system; the control device generates a cleaning path instruction through the dynamic distribution module, the feedback control module decomposes the instruction to adjust parameters of a water pressure valve, the decision closed-loop module calculates a quality parameter alpha based on visual data and outputs a spiral coverage control instruction, and the load balancing module distributes a calculation task to the multi-node controller. The method comprises the steps of pollution level judgment path generation, cavitation intensity linkage water pressure adjustment, driving of a three-dimensional cleaning track by a quality parameter alpha, task fragmentation load balancing and real-time feedback termination control. The cleaning intensity is adjusted through pollution atlas driven automatic scheduling, cavitation intensity linkage equipment control and quality parameter alpha feedback, so that process collaborative optimization, resource utilization rate improvement and cleaning quality stability are realized.

The invention relates to a method for producing a component. The method comprises the following steps: providing at least one semiconductor element and a control structure on a carrier, applying a first layer to a side of the semiconductor element facing away from the carrier and a second layer to a side of the control structure facing away from the carrier, wherein the second layer covers portions of the side of the control structure facing away from the carrier, the first layer has a first surface facing away from the semiconductor element, the second layer has a second surface facing away from the control structure, and the first surface and the second surface are at least approximately partial surfaces of a notional common plane. The invention also relates to an assembly.

The application discloses a crane line fault diagnosis system and method, which comprises a display, a detection module and a detection line arranged on a crane control box; the detection line is a line drawn from a non-control signal connection point of the crane control box, the detection line is electrically connected with the detection module, and is used for sending the detected non-control signal to the detection module; the detection module is used for diagnosing the received non-control signal, and transmitting the fault diagnosis result and the received non-control signal to the display; and the display is used for analyzing and displaying the received fault diagnosis result. The application can diagnose the non-control signal, thereby covering the internal full-line diagnosis of the control box, and improving the crane fault diagnosis capacity.

The application discloses a kind of micron controllable micro-injury ultrasonic focusing treatment equipment, belong to ultrasonic medical equipment technical field, including dot matrix micron ultrasonic focusing transducer module, adaptive adjustment module, three-dimensional dot matrix global coverage control module, local micro-injury temperature control and safety monitoring module, it can also include coupling and cooling module, one-key operation module, host control module, the core innovation point is in that high-pressure cabin closed structure is used with resonant cavity type ultrasonic transducer, utilizes pressurized sound transmission medium and cavity resonance to realize micron focal domain high-efficiency energy convergence;Adapt to micron controllable micro-injury vascular pruning therapy, realize full-depth energy uniformity by adaptive adjustment, three-dimensional dot matrix coverage realizes global treatment, and safety monitoring guarantees no necrosis treatment.