519 results about "Intelligent control system" patented technology

This invention provides an intelligent wake-up method, an intelligent control system, an electronic device, and a storage medium. The intelligent control system includes at least a control module and an LED light panel. The LED light panel is equipped with an LED light source module. When the wake-up conditions are met, the control module controls the color temperature of the LED light source module to be equal to a color temperature threshold during the wake-up period. The color temperature threshold is configured based on color temperature-emotion evaluation data. During the wake-up period, the control module controls the output power of the LED light source module to change linearly with time, causing the illuminance of the LED light panel to change from dark to bright, simulating the sunrise process, thereby waking up the user. The difference between the integral of the LED light panel's illuminance over time and the eye exposure threshold is within a preset range. The eye exposure threshold is configured using eye exposure data, arousal evaluation data, and sleep quality data.

The present application relates to the field of GTAW welding, and is a GTAW longitudinal swing wire feeding intelligent control system and method based on magnetic control. In view of the problems of the wire end deviating from the tungsten electrode and the unstable droplet transfer in the GTAW longitudinal swing wire feeding welding, a GTAW longitudinal swing wire feeding intelligent control system and method based on magnetic control is proposed. The relative position of the wire end and the tungsten electrode is controlled by using a visual sensing-based wire end and tungsten electrode relative position adaptive calibration method; the longitudinal swing amplitude of the GTAW wire is controlled by using a magnetic field-based GTAW wire longitudinal swing amplitude control method; the longitudinal swing frequency of the GTAW wire is controlled by using a magnetic field-based GTAW wire longitudinal swing frequency control method; and the wire feeding speed is controlled by using a wire sensing-based wire feeding speed control method.

This invention discloses an intelligent control system for a space-type atomic layer deposition equipment, belonging to the field of intelligent control technology. The system of this invention includes: an acquisition module that acquires the pressure difference and flow rate values ​​of the gas curtain pipeline and performs low-pass filtering to obtain a pure signal matrix; a feature extraction module that calculates the flow field impedance and impedance residual based on this matrix and converts them into an empirical probability distribution vector; a model building module that constructs a degenerate distribution uncertainty set and a scheduling objective cost function based on this vector, and converts them into a mixed integer second-order cone programming model; an offline solution module that discretizes and classifies the dynamic distribution divergence tolerance and solves the model, and pre-generates a scheduling strategy library; and an online control module that looks up tables in the strategy library according to the real-time divergence tolerance and outputs substrate transmission speed control and channel switching commands. This invention transforms the minimization-maximization probability model into a convex optimization problem for offline solution, breaking the computing power bottleneck and balancing control response speed and scheduling decision-making through efficient table lookup.

This invention relates to the field of intelligent predictive control technology, and more particularly to a digital twin predictive-driven electrochemical intelligent control system and method for circulating cooling water, comprising a physical operation device and a control device. The control device collects water quality monitoring parameters through a data acquisition module, and a state assessment module uses the entropy weight method to map and calculate a comprehensive index. A trend inference module inputs the comprehensive index into a long short-term memory network model for forward propagation, outputting a predicted water quality index, which is then iteratively optimized by a hyperparameter optimization unit using a sparrow search algorithm to optimize the network connection parameters. An instruction optimization module compares the predicted water quality index with a safety threshold to generate control instructions, driving the physical operation device to perform electric field adjustment, mechanical scaling, and coordinated water replenishment and chemical dosing. A virtual mapping module constructs a three-dimensional digital model to achieve state early warning. This invention solves the technical problem of lag in existing feedback control, achieving precise pre-control of water quality in circulating cooling water systems.

This invention discloses a phase change cold storage refrigerated truck and system, belonging to the field of cold chain logistics transportation equipment technology. The invention aims to solve the problem of balancing energy consumption, emissions, temperature stability, and operational flexibility in existing refrigerated trucks. Key technical features include: an insulated truck body, a modular phase change cold storage system integrated into the truck body roof, a combined cooling and charging system, and an intelligent control system. The cold storage unit employs graded composite phase change materials and an embedded enhanced heat transfer structure, achieving high-density energy storage and uniform cold release. The refrigeration system integrates conventional truck body cooling with rapid charging of the cold storage unit through valve switching. The intelligent control system automatically and seamlessly switches between pure cold storage, hybrid cooling, pure mechanical refrigeration, and rapid charging modes based on multi-dimensional sensor information. This invention achieves significant energy savings and carbon reduction, high-precision temperature control within ±0.5℃, ultra-low noise operation, and multi-scenario adaptive capabilities, demonstrating superior overall performance.

This utility model relates to an intelligent prefabricated MABR wastewater treatment equipment with enhanced denitrification effect. It includes a housing and an intelligent control system. The housing is internally divided by partitions and perforated walls into an influent buffer tank, an anaerobic tank, a MABR membrane tank, an aerobic tank, a sedimentation buffer tank, a sedimentation tank, a return tank, a disinfection tank, and an equipment room. The intelligent control system includes a cabinet housing a touch screen, circuit breaker, electricity meter, fuse, DIN rail socket, fuse terminal, power module, CPU module, isolator, distribution terminal, electromagnetic relay, DTU, contactor, thermal relay, incoming line terminal, and distribution terminal. This utility model overcomes the problems of low denitrification efficiency, high energy consumption, large footprint, low level of intelligence, and inconvenience for internal equipment maintenance and replacement associated with traditional integrated wastewater treatment equipment. It is mainly used for small-scale, decentralized domestic wastewater treatment with high total nitrogen and low carbon-to-nitrogen ratio.

The application belongs to the field of robots, relates to a data analysis technique, and aims to solve the problem that the existing intelligent control system for robot moving route cannot timely adjust the planned route of the robot according to the obstacle analysis result, in particular to an intelligent control system for robot moving route based on the Internet of Things, which comprises an intelligent control platform, wherein the intelligent control platform is communicatively connected with a dynamic planning module, a decision analysis module, an environment evaluation module, a route optimization module and a storage module; the starting position and the target position of the robot are acquired, all static planning routes between the starting position and the target position are acquired, a plurality of sub-nodes are set on the static planning routes, and the static planning route with the shortest path distance value is marked as a preliminary selected route; the application can plan and analyze the moving route of the robot in a dynamic environment, and obstacle analysis is performed on each sub-node to realize dynamic adjustment of the moving route of the robot.

The application discloses a PID control optimization method for a water turbine regulating system based on a PINN, which comprises the following steps: constructing and training a physical information neural network; deploying the trained physical information neural network to an online inference system, and simultaneously, equipping a PID controller as a main control loop of the water turbine regulating system; the PID controller outputs a real control signal, and performs state evolution based on a multi-state mechanism model and outputs a real-time state feedback signal; the real-time state feedback signal is input into the physical information neural network for state recursive prediction and output of a predicted state feedback signal; the real-time state feedback signal and the predicted state feedback signal are continuously compared, and the accuracy and reliability of the physical information neural network under the current operating condition are evaluated; a bypass verification loop is constructed based on the evaluation result, and the main control loop and the bypass verification loop jointly form a closed-loop intelligent control system. The application improves the control accuracy and operation reliability of the water turbine regulating system under nonlinear and time-varying operating conditions.

The application provides a cockpit comfort intelligent control system and method, comprising: step S1: obtaining a user's direct setting value for a cockpit environment as a basic target value; obtaining one or more external comfort interference source signals and passenger human body characteristic signals; step S2: obtaining a corresponding dynamic compensation correction amount based on the external comfort interference source signals and the passenger human body characteristic signals; step S3: superimposing the basic target value and the dynamic compensation correction amount to obtain a final execution target value; and step S4: generating a driving signal to drive a corresponding cockpit actuator to execute compensation according to the difference between the current cockpit environment parameter and the final execution target value. The application aims to solve the problem that the existing cockpit comfort control system cannot accurately respond to local physical interference and the adjustment process experience is poor.

The application provides a kind of vehicle lamp intelligent control system with functional safety design, including communication module, main control module, execution module, detection module and power module.For main control module, monitor whether main control information processing fails, does not control vehicle lamp work correctly, if yes, reset control is carried out to external circuit;For communication module, monitor whether communication failure occurs according to communication response mechanism, remind driver of failure cause after monitoring communication failure;For power module, monitor power module output voltage, software and hardware failure, reset processing is carried out to power chip and MCU when failure occurs;For detection module, monitor whether execution module lights corresponding lamp according to requirements, if execution module does not light lamp as required, pass this information to main control module, remind driver of failure cause.The application can reduce system failure and random failure risk, the whole system is more reliable, and driver, passenger and road related personnel are safer.

This invention discloses an intelligent collaborative control system and method for preventing blockage and corrosion at the cold end of an air preheater. The system includes a hot air circulation module, a gradient temperature control layer, a swirl purging device, and an intelligent control system. The hot air circulation module forms an adjustable heat source by mixing airflows of different temperatures. The gradient temperature control layer is used to create a bottom-up temperature gradient at the cold end. The swirl purging device is used for efficient dry cleaning of ash accumulation on the heat exchange elements. The intelligent control system coordinates temperature regulation and the purging process based on operating parameters. This invention introduces a predictive model to anticipate pressure difference trends and combines it with an acid dew point temperature control strategy to achieve linked control of mixed hot air temperature regulation and preventative purging, thereby maintaining the cold end temperature stably within a safe range and promptly suppressing ash accumulation.

The application provides an assembled trolley control system, and relates to the technical field of trolley intelligent control systems.The technical scheme points of the application are as follows: an environment sensing module, a posture detection module, an intelligent control module and an execution driving module are communicated;the environment sensing module comprises a laser radar submodule, a visual camera submodule, an ultrasonic sensor submodule and a data fusion submodule;the laser radar submodule is used for scanning the three-dimensional profile of a work area;the visual camera submodule is used for identifying component marker points;the ultrasonic sensor submodule is used for detecting close-range obstacles;and the data fusion submodule adopts a Kalman filtering algorithm to perform noise reduction processing on the multi-source sensor data.The assembled trolley control system provided by the application has the advantages of high positioning accuracy, strong environmental adaptability and good control coordination, and can meet the high-precision assembly requirements.

The application discloses a method and system for preparing polyether ether ketone (PEEK) resin by a step-by-step method. The method comprises negative pressure salt dehydration, positive pressure monomer addition and polymerization. In the negative pressure stage (‑0.06~‑0.09 MPa, 120~160℃), water is removed efficiently; in the positive pressure stage (0.05~0.14 MPa), 4,4'-difluorobenzophenone is added and polymerized at 280~320℃. The system is equipped with double condensation reaction towers and an intelligent control system, realizing alternating dehydration and continuous production. The method does not need to add water-carrying agents, effectively inhibits monomer volatilization and hydrolysis, and can stably prepare high-performance PEEK resin with high molecular weight (30,000~50,000 g / mol) and narrow distribution (PDI≤2.0).

This invention relates to the field of electronic component packaging and heat dissipation technology, specifically disclosing a partition-type PCB potting heat dissipation system and method for high-end chip packaging. The system includes a partition-type potting cavity, a multi-zone independent temperature control unit, a colloid flow monitoring unit, and a closed-loop feedback control unit. This invention constructs a closed-loop intelligent control system that deeply integrates real-time monitoring, model prediction, and actuator regulation. The system not only relies on a preset colloid rheology model but also utilizes real-time data such as ultrasonic viscosity monitoring and laser thickness measurement verification, and employs an online parameter identification algorithm to continuously correct the model. This enables the system to adapt to performance fluctuations in different batches of materials and dynamic changes in the process, transforming the potting process from an open-loop, passive physical filling into a closed-loop, predictable, and optimizable intelligent manufacturing process, thereby stably producing high-end chip heat dissipation packages with high consistency and high reliability.

This utility model discloses a furnace ash acidic water treatment system, including a furnace ash conveying mechanism, a treatment mechanism connected downstream of the furnace ash conveying mechanism, and an intelligent control system. The treatment mechanism is also connected to an acidic water source for the synergistic treatment of acidic water and furnace ash. The intelligent control system is connected to the furnace ash conveying mechanism and the treatment mechanism to form a control and regulation loop that collects, stores, calculates, and regulates the output. This utility model combines the treatment of furnace ash and acidic water in an acrylonitrile co-processing unit, achieving "waste-to-waste" treatment, reduction of waste, and resource utilization, reducing the consumption of alkaline solutions for acidic water, and improving the economic efficiency of the system. Simultaneously, the intelligent control system enables automated operation of the system, reduces the frequency of manual operation, and solves the problems of over-adjustment, frequent adjustment, and instability that easily occur in traditional PID logic control, achieving rapid, stable, and precise control of the system.

This invention relates to the field of intelligent manufacturing and concrete product production equipment control technology, specifically an intelligent control system for the entire production process of concrete poles. The system includes: a reference parameter identification unit for performing a stepped acceleration test and calculating the empty mold impedance parameter characterizing the inherent mechanical resistance of the mold; a load torque observation unit for acquiring the electromagnetic drive torque in real time and extracting the net load torque acting only on the concrete material; a rheological and distribution state analysis unit for calculating the dimensionless eccentricity factor characterizing the uniformity of material distribution; and an adaptive closed-loop control unit for generating corresponding control commands: an emergency braking command is output when the eccentricity exceeds the safety limit, a constant-speed shearing command is output when the rheological state does not meet the standard, and an adaptive acceleration command is output when the rheological state meets the standard and the eccentricity is within the safe range. This invention solves the problem of the inability to directly observe the material state within a closed mold, achieving transparent monitoring of the physical properties of concrete.

The application discloses a SOFC integrated power generation system containing a diesel pretreatment unit, and belongs to the technical field of solid oxide fuel cells. The SOFC integrated power generation system at least comprises a diesel pretreatment unit, a SOFC power generation unit and an intelligent control system. The pretreatment unit converts diesel into high-purity hydrogen-rich gas through desulfurization, denitrification and autothermal reforming processes. The SOFC power generation unit adopts a metal support type stack and realizes efficient power generation in combination with heat management. The intelligent control system can realize real-time monitoring and dynamic adjustment to ensure stable operation of the system. The power generation efficiency of the SOFC integrated power generation system can reach 55% to 58%, the fuel utilization rate reaches more than 90%, and the emission is low. The SOFC integrated power generation system is suitable for distributed power generation, mobile power sources, emergency power sources and automobile fuel cells and the like application scenarios, and has the characteristics of high efficiency, environmental protection and stability.

This invention discloses an adaptive portable pipe external wall cleaning mechanism and control method suitable for different pipe diameters, belonging to the technical field of pipe maintenance equipment. The mechanism includes a grinding mechanism, a cylinder, a scanning device, and a clamping and moving mechanism. This invention employs a centralized-distributed intelligent control system and method, where the centralized unit uses a nonlinear model predictive control algorithm based on Koopman operator theory to dynamically map the system nonlinearly to a high-dimensional linear space for rolling optimization; the distributed unit is responsible for the real-time control of each actuator. This system updates model parameters through an online adaptive mechanism, significantly improving control accuracy and robustness in complex nonlinear and time-varying operating environments. This invention solves the problems of poor adaptability, low efficiency, and insufficient intelligence in traditional pipe external wall cleaning methods, achieving efficient, high-quality, and fully automated pipe external wall cleaning operations.

The present application relates to the field of sewage treatment, and more particularly to an AOA sewage treatment intelligent control system based on digital twinning. It comprises a physical perception layer, a data transmission layer, a digital twinning layer, an intelligent control layer and an execution layer. The physical perception layer collects AOA process physical data throughout the whole process and preprocesses them into standardized data; the data transmission layer realizes the bidirectional transmission of data and control instructions between each level; the digital twinning layer, based on the denitrification and phosphorus removal microbial metabolism mechanism of the AOA process, constructs a whole-process twinning model synchronized with the physical system in real time and generates simulation prediction data; the intelligent control layer generates control instructions according to the data; the execution layer executes the instructions and collects feedback data, which is used to update the twinning model and correct the control instructions. Through the five-layer series closed-loop structure, the present application realizes the intercommunication of data, the interaction of instructions and the closed-loop feedback of each level, and constructs a whole-process closed-loop intelligent control system of "perception-transmission-twinning-decision-execution".

The present application relates to a kind of flakeboard production line of energy consumption monitoring and intelligent control system, comprising: physical execution layer, for executing flakeboard production process;Clean energy supply layer, it includes factory photovoltaic power generation system and biomass heat center, for providing heat energy to physical execution layer;Universal perception layer, for forming global data perception network, real-time acquisition production energy consumption, material consumption, key process parameters, photovoltaic power generation power and biomass steam supply quality parameter;Intelligent decision-making layer, it is respectively connected with the programmable logic controller of each production unit of universal perception layer and physical execution layer, for receiving and processing the real-time data collected by universal perception layer, and by built-in based on dynamic boundary multi-objective collaborative optimization model solution comprehensive optimal process parameter, and write the process parameter adjustment scheme solved into the programmable logic controller of physical execution layer corresponding.

The present application relates to the technical field of control system, especially to an intelligent control system of ultrapure water machine, the present application collects water quality data, membrane surface data and filtration pressure through a monitoring module; a state analysis module divides the filtration characteristic state according to the fluctuation of the membrane surface data; a control unit executes a control strategy according to the filtration characteristic state, including, obtaining the filtration pressure, identifying whether there is an abnormal value in the filtration pressure, determining whether to send a warning signal; or, obtaining the water quality data, calculating the fluctuation of the water quality data in each cycle, judging whether the fluctuation is consistent; and executing an adjustment strategy according to the consistency determination result, including, adjusting the water inflow, or sending a warning signal; the present application can improve the pertinence and reliability of system control, effectively delay membrane pollution, reduce membrane loss, and ensure the continuous and stable operation of the ultrapure water machine.

This invention discloses a multimodal perception-based MCU environment-adaptive whole-house intelligent control system, specifically relating to the field of whole-house intelligent control technology. This invention integrates multimodal physiological perception data such as EEG, heart rate, and respiration, and constructs a state ensemble quantitative assessment to identify and classify three states of the user before sleep: relaxed, moderately relaxed, and not relaxed. Based on the quantitative results, it automatically matches differentiated pre-sleep environment parameters such as temperature, light intensity, and white noise. This solves the problems of traditional smart home systems, such as single perception dimensions, lagging environmental adjustment, and fixed, rigid parameters, making pre-sleep environment control more closely match the user's true physical and mental state, effectively shortening sleep onset time and improving pre-sleep comfort.

This invention belongs to the field of thermal energy recovery and automation control, specifically relating to an intelligent control system for mine water waste heat recovery. The system includes a production condition sensing device, a multi-source thermal monitoring device, an energy value analysis center, a dynamic load dispatching terminal, a multi-media heat exchange actuator, and a flexible thermal energy storage system. The system collects real-time mine production conditions and multi-source thermal parameters, constructs an energy asset model using a discrete state transition probability model, and, based on a game theory bidding mechanism and electricity price fluctuation trend prediction, guides the heat exchange actuator and storage system to perform optimized allocation and predictive storage of thermal energy. This invention transforms fluctuating heat sources into predictable energy assets, achieving the lowest-cost and most energy-efficient energy configuration scheme in a multi-source coupled environment, improving resource utilization, and ensuring the stability of energy supply in the mining area.

This application discloses an integrated intelligent control system for heat storage and extraction used in a lunar base, relating to the field of energy and temperature control technology for lunar bases. The system includes: a linear Fresnel heat collection subsystem, a water-ice-sintered lunar soil composite heat storage subsystem, and a temperature control subsystem. The linear Fresnel heat collection subsystem collects solar energy and converts it into heat energy. The water-ice-sintered lunar soil composite heat storage subsystem stores and releases heat energy through a water-ice energy storage medium. The temperature control subsystem adjusts the heat collection state of the linear Fresnel heat collection subsystem and the heat extraction rate of the water-ice-sintered lunar soil composite heat storage subsystem according to the light intensity and cabin temperature, thereby maintaining the cabin temperature of the enclosed compartments in the lunar base within a preset temperature range. This application can achieve stable temperature maintenance of the living and working compartments for astronauts in the lunar base within a comfortable range, reduce dependence on Earth-Moon transportation, improve the system's economy and reliability, and ensure the feasibility of long-term stays in the lunar base.

The application discloses a multi-source waste heat coordinated staged sludge dryer and a treatment method thereof, and belongs to the technical field of sludge treatment. The multi-source waste heat coordinated staged sludge dryer comprises a pretreatment module, a multi-source waste heat drying module, a closed purification circulation module and an intelligent control system. The output end of the pretreatment module is connected with the input end of the multi-source waste heat drying module. The discharge end of the multi-source waste heat drying module is provided with a finished product collecting unit. The closed purification circulation module and the multi-source waste heat drying module form a gas circulation loop. The intelligent control system is electrically connected with each module. The multi-source waste heat coordinated staged sludge dryer and the treatment method thereof are adopted, efficient recovery of multi-source waste heat is realized, drying uniformity is improved, and the emission of pollutants is effectively reduced.

This invention discloses an intelligent constant temperature and pressure control system for a cleanroom, comprising: a data acquisition module for deploying sensors to collect data and transmit it to a control unit; a data processing module for calibrating, filtering, and synchronizing data, and inputting it into an MLP network to extract features; a coupling prediction module for establishing a prediction model, calculating deviations, and generating a control error vector; a process control module for executing control strategies based on the error vector and determining equipment operating parameters; an execution control module for transmitting adjustment commands and driving synchronous adjustment of the equipment; and a closed-loop feedback module for collecting adjusted data and feeding it back to the control unit to achieve closed-loop regulation. This invention, through an intelligent control system, adjusts the temperature, pressure, and airflow of the cleanroom in real time, improving environmental control accuracy, energy efficiency, and stability, and ensuring the efficient and reliable operation of the experimental environment.