4243 results about "Smart control" patented technology

The invention relates to the technical field of industrial automatic welding and discloses an intelligent control method and system for industrial robot welding, and the method comprises the steps that after a welding task is started, an initial welding process parameter model is called based on the current workpiece specification, and a first welding control instruction sequence is generated; according to the first welding control instruction sequence, a welding gun is controlled to execute welding operation, and multi-source sensing data flow in the welding process is synchronously collected; carrying out fusion feature extraction on the real-time sensing data stream to generate a current welding situation feature vector, when situation deviation exists between the current welding situation feature vector and the reference welding situation feature vector, obtaining a self-adaptive welding process parameter model through online incremental learning, and obtaining a self-adaptive welding process parameter model on the basis of the self-adaptive welding process parameter model. And generating an optimized welding control instruction sequence and issuing the optimized welding control instruction sequence to a robot controller and a welding gun so as to execute self-adaptive welding operation. The welding quality stability and the production efficiency can be improved, and the equipment maintenance cost is reduced.

The invention discloses a distributed intelligent control method for unmanned aerial vehicle cluster cooperative path planning, and relates to the technical field of unmanned aerial vehicle cluster cooperative control, and the method comprises the steps: collecting a dynamic feature set of an unmanned aerial vehicle in real time, and carrying out the time synchronization, noise filtering and formatting integration, and forming a local state data set; performing neighborhood collaborative analysis and temporary link planning on the local state data set to obtain relay chain layout data; performing environmental risk assessment and path feasibility analysis on the relay chain layout data to generate a candidate path set; adjusting the candidate path set through local obstacle avoidance and dynamic constraint to generate an executable path sequence, and generating a collaborative execution path through neighborhood communication and collaborative adjustment; performing task execution result integration and state updating on the collaborative execution path to generate group state data; and performing path feedback and loop optimization on the group state data to obtain a group collaboration result. And the task completion rate, the cooperation efficiency and the environment adaptability are improved.

The invention relates to the technical field of industrial intelligent control, in particular to a combustion system fault correlation analysis and diagnosis method and system based on a knowledge graph. The method comprises the following steps: constructing a mechanism topological graph of a combustion system, obtaining real-time load data of the combustion system, calculating dynamic conduction lag time of a parent node influencing a child node in the mechanism topological graph based on a fluid mechanics load correction mechanism in combination with a flow resistance correction factor and reference transmission time, performing time sequence alignment based on dynamic conduction delay time, calculating causal association strength of a father node pointing to a child node and performing confidence attenuation processing, performing reverse search on a mechanism topological graph when an abnormal trigger point is monitored, calculating accumulated abnormal energy of each father node based on the causal association strength, and determining the abnormal trigger point according to the accumulated abnormal energy. And determining the father node with the highest accumulated abnormal energy as a fault root cause. According to the scheme of the invention, accurate time sequence alignment under working condition fluctuation can be realized, diagnosis failure can be prevented, and fault root causes can be accurately positioned.

The invention relates to the technical field of building intelligent control and energy saving, and discloses a building equipment intelligent control optimization management system based on a green low-carbon building. The system comprises five subsystems, wherein an environmental parameter sensing subsystem is used for acquiring temperature and humidity gradients, illumination intensity distribution and personnel activity thermodynamic diagram data inside and outside a building through a distributed sensing network to form a multi-dimensional environmental state vector; the equipment operation state acquisition subsystem acquires an operation power curve, an energy efficiency conversion rate curve and an equipment health degree index of heating ventilation air conditioning, illumination and renewable energy equipment in real time; the dynamic load prediction subsystem establishes an energy consumption load space-time distribution prediction model according to historical data time sequence relevance; the control strategy generation subsystem is used for generating an optimized instruction set containing an equipment start-stop time sequence, a power regulation gradient and an energy distribution weight in combination with the current environment vector and a predicted load; the execution terminal adapts the subsystem to convert the instruction into a device compatible signal and calibrate a response delay.

The invention discloses a condensation-free efficient heat exchange control method and system for a full-premixing water heater, and the method comprises the steps: collecting the multi-source information, such as air inlet temperature, humidity, gas flow, flue gas oxygen concentration and wall temperature, in real time, calculating a predicted dew point based on a dynamic dew point prediction model, and setting a dynamic safety boundary; the condensation risk is judged by comparing the wall temperature with the safety boundary, and active intervention is carried out in a staged cooperation mode that fuel gas and air volume are continuously adjusted firstly and then a partial combustion zone sectioning valve is rapidly turned off; the system comprises a main controller, a mesh-shaped infrared radiation burner, a sectional valve assembly, a gas proportional valve, a frequency conversion fan and related sensors. According to the invention, the system runs close to the condensation boundary through intelligent control, and the advantage of high operation heat efficiency is realized on the premise of ensuring high reliability.

The invention provides a deep-sea rare earth deposit mine collecting car and an operation method thereof. According to the method, a double-S-shaped reciprocating collection path is planned through an intelligent controller on the basis of a mining vehicle carrying a multi-stage collection device and aiming at the characteristic that deep sea rare earth is enriched in a sheet and multi-layer mode. According to the difference between the depth and compactness of the sediments, three stages of cutter suction units are adopted for layered collection: the first stage is used for 0-2m surface soft sediments, and the rotating speed of a reamer is 200-400r / min; the second stage is used for 2-4m middle-layer compact sediments, and the rotating speed is 350-600r / min; the third stage is used for 4-10m deep high-strength sediment, and the rotating speed is 500-700r / min. The terrain, posture and pressure are monitored in real time during operation, the posture, speed and obstacle avoidance of the vehicle body are automatically adjusted, and stable collection is achieved. The method has the advantages of accurate layering, comprehensive coverage, small environmental disturbance and high reliability, and is suitable for efficient, safe and environment-friendly collection of deep sea rare earth deposits.

The invention discloses a conformal cooling device for die-casting die temperature intelligent control and a regulation and control method. The conformal cooling device comprises a die body, an embedded conformal cooling runner network, a multi-mode temperature sensing array, a partition flow regulation and control valve group, a central cooperative controller and a cooling medium circulation supply unit. Through the combination of shape follow-up runner design and partition dynamic regulation and control, a cooling blind area is effectively eliminated, the surface temperature uniformity of a cavity is remarkably improved, and the cooling time of a hot spot area is shortened, so that the defects of shrinkage cavities, hot cracks and the like are inhibited, and the defect rate of castings is reduced. And under the cooperation of multi-mode sensing and intelligent control, the system response is accelerated, the energy consumption is reduced, the die-casting rhythm is shortened, and the synchronous optimization of the production efficiency and the energy utilization efficiency is realized.

The invention relates to the technical field of intelligent control, and discloses a water conservancy water resource dynamic scheduling method and system based on big data, and the method comprises the steps: collecting the collected real-time hydrological data, meteorological data and water demand data into multi-source real-time water conservancy data of a water conservancy region; based on a long-term dependency relationship in historical water resource scheduling data, determining a water consumption characteristic and a water resource space-time distribution rule; adaptively distributing water utilization priority weights of water resources to obtain water resource supply and demand conditions; mapping the water resource supply and demand condition to a scheduling rule base of historical water resource scheduling data to obtain a preliminary water resource scheduling scheme; the preliminary water resource scheduling scheme is corrected in real time in combination with the multi-source real-time water conservancy data, and a target water resource scheduling scheme is obtained; responding to the target water resource scheduling scheme, obtaining difference information between an actual response effect and an expected effect, and dynamically adjusting facility operation parameters according to the difference information; according to the invention, the efficiency of dynamic scheduling of water resources can be improved.

The invention relates to the technical field of intelligent control, and discloses an ultra-low power consumption miniature LED visible light intensity self-adaptive regulation and control method and system, and the method comprises the steps: obtaining an analog light intensity signal, and carrying out the smoothing processing of the analog light intensity signal, and obtaining an environment light intensity value; calculating a light intensity change rate, and if the light intensity change rate exceeds a dynamic threshold value, marking an environment state and outputting a light intensity difference value; generating a preliminary adjustment instruction according to the state matching control parameter and the difference value quantization mapping, and calculating target light intensity in combination with the basic brightness; after executing the instruction, calculating actual and target deviation, and iteratively correcting to obtain a light intensity control signal; if the power consumption exceeds the limit, optimizing the signal amplitude; the input driving circuit analyzes the synthesized pulse current, excites pixels to emit light and gathers to obtain adjustment data; and if the visual contrast is lower than a threshold value, the change rate is adjusted again to realize closed-loop refining, and the light intensity adjustment accuracy is improved. The method can improve the real-time sensing capability of ambient light.

The invention relates to the technical field of industrial big data, in particular to a transformer consumption reduction intelligent control method and system based on a power generation end, and the method comprises the steps: building a source-load space-time correlated industrial big data set, determining an operation reference, and synchronously monitoring real-time electrical parameters; load component decoupling is executed, a basic load component is stripped, and a power fluctuation deviation parameter is extracted; reconstructing equivalent control power of a power generation end based on a nonlinear fluctuation compensation strategy; and constructing a power grid energy efficiency function to execute loss minimization optimization, determining a power supply voltage setting value and driving on-load voltage regulation. Through multi-dimensional data fusion and non-linear load reconstruction, the problem that a traditional method is difficult to deal with random fluctuation of the load is solved, collaborative optimization of transformer loss and line transmission loss is achieved, and operation energy consumption of a power supply loop of a power generation end is effectively reduced.

The invention relates to the technical field of generator set intelligent control, and discloses a generator set intelligent control method and system, and the method comprises the steps: obtaining the sensor data and vibration signals of a generator set; obtaining a corrected frequency characteristic value according to sensor data screening, denoising and frequency characteristic correction; generating and iteratively updating a control decision instruction sequence according to the real-time change of the vibration signal and the corrected frequency characteristic value to obtain a system stability index; and combining system stability index feedback adjustment to obtain a control decision reliability index. The method can solve the problem of noise interference under a dynamic working condition, realizes fault early warning, parameter optimization and system stability, and improves energy efficiency and operation reliability.

The invention relates to the technical field of intelligent inspection of power equipment, and particularly discloses a power transmission line inspection system based on an autonomous correction long-endurance unmanned airship. The system aims to solve the problems of short endurance, small operation radius, single image angle, intermittent operation, leak detection, low precision, poor environmental adaptability and the like caused by dependence on manpower or GPS navigation in the conventional unmanned aerial vehicle inspection. The system comprises an energy supply module, a data acquisition module, an intelligent control module and a communication and data return module. Wherein the energy supply module is integrated with a solar energy collection, storage and intelligent scheduling unit to realize day-and-night continuous energy supply; the intelligent control module adopts an RT-DETR visual algorithm to identify a tower in real time, performs automatic deviation correction by fusing pose information, and accurately tracks a preset track; the data acquisition module supports multi-angle high-definition imaging, and the communication module guarantees real-time data return. And high-precision unmanned inspection with ultra-long endurance, full-automatic and wide-area continuous coverage is integrally realized.

An Open Radio Access Network (O-RAN) communication system includes a GNB Central Unit Control Plane (GNB-CUCP) to establish a connection with a Near-RT RIC via an E2 interface; a User Equipment (UE); a plurality of cells in a Tracking Area (TA) of the GNB-CUCP; and an O-RAN Near-Real Time (Near-RT) RAN Intelligent Controller (RIC) to host an xApp and initiate a subscription procedure with the UE. The GNB-CUCP sends cell location information of the UE to the Near-RT RIC upon a UE context release procedure, the Near-RT RIC creates and maintains a record of the cell location information received from the GNB-CUCP via the xApp, and the GNB-CUCP pages the UE in a subset of cells from the plurality of cells in the TA, the subset of cells corresponding to the record of cell location information created and maintained by via the xApp.

The invention discloses an intelligent hydraulic system of a roller press and a control method. The method comprises the steps that roll gap and pressure signals are collected in real time, and the average roll gap, the roll gap difference and the change rate are calculated; calculating an optimal system total pressure setting reference value in real time through a preset pressure-roll gap-material characteristic coupling model based on the target peak pressure, the current average roll gap and the material characteristic parameters; judging the working condition according to the roll gap difference and the change rate: under the stable working condition, taking the reference value as a double-side pressure set value; under the abnormal working condition, differential adjustment is carried out on double-side pressure set values on the basis of the abnormal working condition; and finally, the pressure set value is output to the hydraulic executing mechanism, and the state of the energy accumulator set is synchronously adjusted. The system correspondingly comprises a signal sensing unit, a hydraulic execution unit, an adjustable rigidity energy storage unit and an intelligent control unit. Constant-effect, stable and self-adaptive operation of the roller press under variable working conditions is achieved, and the grinding efficiency, the equipment stability and the intelligent level are remarkably improved.

The invention discloses a cyclone separation and moving particle bed coupled pulverized coal pyrolysis oil gas high-temperature dust removal system, and belongs to the technical field of coal clean utilization. The system comprises a cyclone separator, a fine filtration unit, a filter material cyclic regeneration unit and an intelligent control unit, the fine filtration unit comprises a particle bed, a particle bin is arranged at the top end of the particle bed, and a composite filter material layer is arranged on the particle bed; a dust-containing high-temperature oil gas pipeline and a pretreatment high-temperature oil gas pipeline are arranged at the top end of the cyclone separator, dust-containing high-temperature oil gas is introduced into the cyclone separator through the dust-containing high-temperature oil gas pipeline to be pretreated, and the pretreated dust-containing high-temperature oil gas is introduced into the particle bed through the pretreatment high-temperature oil gas pipeline to be finely filtered; and a coke breeze discharge pipe is arranged at the bottom of the cyclone separator. The invention is used for solving the technical problem of low gas-solid separation efficiency at high temperature caused by the adoption of a single filter material in the existing pulverized coal dust removal system.

The invention discloses a shaft control red light gain red light golden yellow light single control eye protection lamp, and belongs to the field of lighting equipment. An intelligent control assembly and a power supply assembly are arranged in the base, a folding structure is arranged on the rear portion, a lamp body is arranged at the end of the folding structure, and a light source module is arranged in the lamp body. The intelligent control assembly comprises a main control chip STM32F103C8T6 and is used for controlling the light source module; the power supply assembly comprises a storage battery and a Type-C charging port, and the charging port is connected with the storage battery through a TP4056 charging management chip. The folding structure is hinged to the first supporting plate and the lamp body through any stop rotation damping rotating shafts. The light source module comprises 630-650 nm axis control red light, 610-630 nm gain red light and 3000-3500 K golden yellow light units which are distributed in an array mode. The base is provided with a control touch key and an anti-skid pad, and the lamp body is provided with a frosted acrylic lampshade. The device is scientific in spectrum, convenient to adjust and good in eye protection effect.

The invention relates to an energy-saving control strategy for a medical building air-conditioning ventilation system based on climate change characteristics and load prediction. The energy-saving control strategy comprises the following steps of: acquiring all original data by utilizing various sensors, actuators and the like of a sensing layer; calculating, optimizing and deciding on an intelligent control layer (including building comprehensive cooling and heating load prediction, clean operation department area cooling and heating demand calculation, dynamic water supply temperature optimization, a particle swarm optimization (PSO) algorithm for domain optimization, constraint check and other algorithm modules) on a central management server; and an optimization result is issued to the execution layer and the executed equipment layer, so that energy-saving control is finally realized. The method overcomes the defects that the existing hospital building load prediction technology mostly adopts a macroscopic and rough prediction model, and the global optimization particle swarm optimization algorithm is slow in convergence and long in solving time when coping with a large medical building adopting multiple types of cold and heat source equipment. The device is suitable for large-scale hospital projects in hot-summer and warm-winter areas.

The invention relates to the technical field of non-ferrous metal smelting flue gas treatment and resource utilization, and discloses a non-ferrous metal smelting multi-source flue gas efficient mixing and intelligent regulation and control method and system.The method comprises the steps that flue gas from different kilns enters a main flue through a multi-source flue gas branch regulation and control unit, and through rotational flow momentum, the multi-source flue gas enters the main flue; the basic consistency of each source flue gas structure is achieved; carrying out real-time evaluation on the mixed smoke on a key section; the multi-point sensor array continuously measures data and calculates a uniformity index to realize instant identification of flow field uniformity, time stability and local anomaly; based on measurement data, the intelligent control and operation optimization unit solves a comprehensive performance function in real time on a DCS / PLC platform. The system comprises a plurality of flue gas outlets, a top-blown furnace discharge outlet, a multi-source flue gas branch regulation and control unit and an annularly-collected flue gas total outlet. According to the method, the influence of inlet disturbance on the mixing quality is regulated and reduced from the source.

The invention discloses an active vibration suppression and deformation compensation device for high-precision thin-walled part machining, and relates to the technical field of machining equipment. The device comprises a base module, a clamping positioning module, a multi-source sensing monitoring module, a cooperative actuation vibration suppression module, a multi-point flexible compensation module, an intelligent control module and a machine tool cooperative interface module. The multi-source sensing monitoring module synchronously collects vibration, deformation, cutting force and temperature signals in the machining process. The intelligent control module processes signals and drives the cooperative actuation vibration suppression module (including a piezoelectric actuator group and a voice coil motor follow-up supporting unit) to perform broadband vibration suppression, and meanwhile drives the multi-point flexible compensation module (including a flexible supporting matrix and a path compensation interface) to perform local and overall deformation compensation. Synchronous monitoring and active cooperative control of vibration and deformation are achieved through closed-loop control, the machining precision, the surface quality and the machining efficiency of the thin-wall part are remarkably improved, compatibility is good, and the adaptive range is wide.

The invention relates to the technical field of automobile electronics and intelligent control, and discloses an intelligent cabin mechanical arm system which comprises a folding mechanical arm body, a tail end sensing interaction module, a driver state monitoring subsystem and a central control unit which are installed in a cabin. The central control unit controls the storage or working mode of the mechanical arm according to the comprehensive fatigue index of the driver; in the working mode, visual gazing information is used as a gating signal to activate electroencephalogram analysis, the operation intention is confirmed in combination with the visual prior probability and electroencephalogram signals, and the mechanical arm impedance parameters are adjusted in real time based on the fatigue state. According to the method, through Bayesian fusion of vision and electroencephalogram signals, the problem that single-mode control is unstable is solved; by means of variable impedance control and collision detection of the momentum observer, active safety protection based on the physiological state of the driver is achieved, and non-sensitive and high-safety intelligent auxiliary experience is provided in a limited cabin space.

The invention discloses a communication big data driven sewage plant peak clipping and valley filling low-carbon scheduling method, and belongs to the technical field of environmental engineering intelligent control. The purpose of quantitative control over the adaptive relation between the sewage generation capacity and the bearing capacity of a treatment facility is achieved. The method comprises the steps of constructing a sewage plant inflow load prediction model training sample data set by adopting a sliding time window mechanism based on a sewage plant low-carbon dispatching underlying database, and constructing a sewage plant inflow load prediction model based on LSTM to obtain the hourly inflow flow of a sewage plant. The method comprises the following steps: constructing a matching degree index used for describing the operation condition of a sewage system in any hour, and designing a scheduling scheme to maximize the total matching degree of a sewage plant in a prediction period as a target, and obtaining different matching degrees before and after the scheduling scheme; and calculating the carbon emission before and after the scheduling scheme by using the carbon source per hour, the dephosphorization and dehydration agent feeding amount and the hour-level power consumption during the operation period of the sewage plant, and evaluating the carbon reduction effect of the scheduling scheme.

The invention relates to the technical field of sterilization equipment control, in particular to an intelligent control method and device for sterilization equipment and electronic equipment. The method comprises the following steps: deploying a sensing network in a disinfection space and executing environment calibration to generate sensing reference data; synchronously acquiring space environment data through a sensing network; constructing a target recognition model based on the sensing reference data and the space environment data so as to perform dynamic target recognition and contact judgment; determining environment state parameters according to dynamic target recognition and contact judgment results; executing risk partitioning according to the environment state parameters to determine a region type and a risk score; and establishing a killing strategy rule base and executing killing operation according to the area type and the risk score. According to the invention, a differential disinfection strategy is formulated and executed based on dynamic environment perception and partition recognition.

The invention relates to the technical field of new energy automobile heat management, and discloses a battery inlet water temperature-based dual-threshold decision-making method, which is realized through the following components: an intelligent collaborative decision-making center module, a multi-source data sensing acquisition module, a waste heat recovery and efficient heat exchange module, a precise execution driving module and a multi-level safety guarantee module. The intelligent collaborative decision center module comprises a heat management controller and an AI intelligent control unit; the multi-source data sensing and collecting module comprises a battery management system, a whole vehicle controller, an air conditioner controller and a full-dimension parameter monitoring sub-module. The waste heat recovery and efficient heat exchange module comprises a double-effect Chiller, an electronic expansion valve, a three-way valve and a four-way valve; the invention aims to solve the problems that energy consumption is increased and efficient circulation of energy cannot be realized due to the fact that waste heat generated in the operation process of components such as a motor cannot be fully excavated and reused and temperature control requirements are met by depending on additional heating or refrigerating components in the heat management of the existing new energy automobile.

The invention relates to the technical field of precision machining electrical self-adaptive control, and discloses an intelligent control and adjustment method for a special-shaped copper strip precision machining process, which comprises the following steps: constructing a full-stroke mechanical friction impedance baseline, and subtracting the baseline in real time during machining to decouple effective machining impedance current; calculating an impedance space gradient, comparing the impedance space gradient with a theoretical geometric gradient, establishing logic bifurcation according to a gradient deviation amplitude, and executing synchronous adjustment of a feeding speed and torque compensation or locking the speed and independently adjusting a torque gain. The logic dilemma that a single feedback signal cannot distinguish deterministic geometric disturbance and random material hard points is avoided, control decision ambiguity is eliminated, and self-adaptive adjustment is achieved under the non-linear time-varying load working condition.

The invention belongs to the technical field of ventilation and air conditioning, and discloses an intelligent ventilation wall control method and system.The intelligent ventilation wall control method comprises the steps that real-time airflow parameters and temperature parameters of an indoor area are obtained; identifying a potential hot pressure difference disturbance area according to the airflow parameters; acquiring a disturbance response level of the potential hot pressure difference disturbance area at each moment according to the airflow direction change and the temperature gradient stability of the potential hot pressure difference disturbance area at adjacent moments in the analysis time period; screening a high-priority control region based on the disturbance response level; according to the disturbance response level of the high-priority control area at each moment and the temperature parameter of the high-priority control area at the same moment, obtaining an adjustment guidance index of the corresponding control area; the air supply amount and the air supply direction of the ventilation wall are dynamically adjusted based on the adjustment guidance index, so that transient hot pressure difference disturbance in the area is responded in real time; and the energy-saving effect of the ventilation wall system is greatly improved.

The invention discloses an on-line monitoring and compensating method and system for the thickness of an electroplated layer of an automobile part based on current self-adaptive adjustment, and relates to the technical field of automation and intelligent control. Correcting the original thickness data according to the deviation degree between the current temperature and the real-time PH value and the preset reference data to obtain the real coating thickness of each subarea under the reference condition, judging that the real coating thickness reaches the standard according to the preset trigger compensation condition, if the real coating thickness reaches the standard, continuously monitoring on line, and if the real coating thickness does not reach the standard, determining the current increment of each subarea. According to the method, the current increment is compensated according to the influence of the PH value deviation, the reference current is adjusted, the final adjustment current is output, and the plating thickness of each subarea is dynamically compensated, so that the multi-dimensional process variable can be sensed, and the plating thickness of each subarea can be dynamically compensated by dynamically adjusting the current and compensating the thickness deviation caused by parameter fluctuation. And finally, the whole-course accurate control of the coating thickness of the automobile part is realized.

The invention discloses an intelligent micro-grid electric energy quality adjusting system based on hybrid energy storage, and the system comprises a hybrid energy storage unit which is used for storing and releasing adjusting electric energy; the converter module is connected with the hybrid energy storage unit and a power grid and is used for realizing conversion of alternating-current and direct-current electric energy and injection of compensation energy; the intelligent control unit is in communication connection with the converter module and the hybrid energy storage unit and is used for detecting power quality abnormity in real time and generating a compensation control instruction; the energy management system is in communication connection with the intelligent control unit and is used for formulating a long-term charging and discharging strategy of the hybrid energy storage unit based on the multi-source information; the communication and interface module is used for realizing data interaction between the units and between the system and an external network; the intelligent control unit is configured to dynamically distribute the output proportion according to the real-time electric energy quality state, the load demand and the energy storage state. The system is high in response speed, wide in adaptability, low in cost, high in integration level and convenient to expand and maintain; and meanwhile, the electric energy quality is greatly improved.

The invention relates to the technical field of control systems, and particularly discloses an intelligent control system for an insulation test of a marine dry-type transformer. The system comprises a high-voltage test power supply module, a multi-mode sensing acquisition module, an insulation state evaluation module, a self-adaptive boost decision module and a test process control module, and evaluates an insulation state and dynamically decides a boost rate and a holding strategy by acquiring voltage, leakage current, partial discharge and temperature data in real time. Intelligent control and safety protection in the insulation test process are achieved, potential insulation damage is effectively avoided, and diagnosis precision is improved.

The invention provides a public-network-free communication area multi-nest cooperative unmanned aerial vehicle autonomous flight patrol method and system, and relates to the technical field of intelligent control, and the method comprises the steps: building a communication coverage model based on a patrol patrol partitioning scheme and nest resource states; generating a cooperative scheduling plan according to the communication coverage model; according to the collaborative scheduling plan, performing three-dimensional flight path optimization calculation on each aircraft nest to obtain flight path data; processing the flight path data to obtain a three-dimensional environment situation data set; based on the three-dimensional environment situation data set, a cooperative control instruction sequence is generated, and the cooperative control instruction sequence comprises a trajectory optimization strategy and a task redistribution strategy; and executing distributed control according to the cooperative control instruction sequence. According to the method, the communication coverage capability of each nest can be dynamically evaluated, and the optimal cooperative scheduling plan is generated.

The invention belongs to the technical field of intelligent control, and discloses a robot visual interaction control method and device, electronic equipment and a storage medium, when the electronic equipment is started, an ROS2 communication environment is initialized, and a Qt graphical user interface is loaded; whenever any user interface subpage on the Qt graphical user interface is detected to be switched from the hidden state to the display state, adding one to the count value; when any user interface sub-page is detected to be switched from the display state to the hidden state, subtracting one from the count value; when the count value is changed from 0 to 1, starting ROS2 topic subscription; when the count value is changed from 1 to 0, the ROS2 topic subscription is canceled; by introducing a dynamic binding mechanism of the interface visibility and the ROS2 subscription state, the data subscription is automatically cancelled when the interface component is hidden, so that the continuous receiving and processing of background invalid data streams can be avoided, the CPU resource occupancy rate and communication resources are effectively reduced, the communication load and processing overhead are further reduced, and the operation fluency and response speed are improved.