17results about How to "Real-time control" patented technology

The invention relates to a hydropower station edge control system and method. The system comprises a multi-source data acquisition module used for acquiring multi-source data of a hydropower station; the plurality of controller nodes are in communication connection with the multi-source data acquisition module, and are used for receiving the multi-source data, analyzing the multi-source data in real time through an artificial intelligence model to obtain an evaluation result, and performing real-time PLC control on equipment of the hydropower station according to the evaluation result and / or control logic; the artificial intelligence model is used for carrying out fault diagnosis and prediction on equipment of the hydropower station, so that the requirements of different-scale systems of the hydropower station on control and intelligent analysis fusion deployment can be met.

The invention discloses a simulation device for oil-rich coal in-situ negative pressure pyrolysis and oil gas collection, and aims to solve the problem that multi-condition synergistic effect is not considered in oil-rich coal pyrolysis in an existing laboratory. The system comprises a pyrolysis system, an environment and pressure supply system, a condensed oil gas extraction system, a gas extraction system and a tar quality analysis system, the pyrolysis system comprises a pyrolysis cabin, a heating system is arranged in the pyrolysis cabin, the environment and pressure supply system comprises an atmosphere environment supply system and an in-situ pressure supply system, the condensed oil gas extraction system comprises an oil gas collection assembly, the gas extraction system comprises a gas analyzer and a negative pressure extraction assembly, and the tar quality analysis system comprises a rotary evaporator. The heating system, the atmosphere environment supply system, the in-situ pressure supply system, the oil gas collection assembly, the gas analyzer and the rotary evaporator are all connected with the control terminal. The simulation of the pyrolysis process of the oil-rich coal under the multi-condition synergistic effect is realized by constructing multi-condition coupling oil-rich coal pyrolysis characteristic monitoring.

The invention provides a vehicle motion control system and method, a product and a vehicle, and belongs to the technical field of vehicle control. The system comprises an intelligent driving sensing module used for receiving intelligent driving information sent by an intelligent driving system of a vehicle; the chassis sensing module is used for collecting motion information of the vehicle in real time; the fusion control module is used for determining a current stable factor of the vehicle according to the motion information of the vehicle, and fusing and determining target control and a target control variable corresponding to the target control according to the intelligent driving information, the motion information and the current stable factor; and controlling a target execution system corresponding to the target control to execute the target control variable so as to perform real-time stable control in the process of starting the intelligent driving system of the vehicle. The invention aims to stably control the vehicle in the intelligent driving process of the vehicle.

This invention provides a real-time control system and method for a humanoid robot that integrates electromyography (EMG) and monocular vision, relating to the field of multimodal humanoid robot control technology. The system includes a posture data acquisition system, an EMG data acquisition system, an EEG data acquisition system, a computer system, a data transmission module, and a humanoid robot. The posture data acquisition system acquires two-dimensional motion videos of the user's entire body; the EMG data acquisition system acquires EMG signals from the user's arm movements; the EEG data acquisition system acquires EEG signals from the user's motor imagery; the computer system converts the received two-dimensional motion videos, arm movement EMG signals, and motor imagery EEG signals into corresponding control commands to control the humanoid robot to perform corresponding actions. This system and method integrate multiple information sources, enabling precise control of the humanoid robot's major joint movements using monocular vision information and precise control of the humanoid robot's hand and wrist movements using EMG information.

This application relates to the field of robotics technology and discloses a control method for a robot system, including a parent robot and a child robot. The control method includes: upon receiving a voice control command, parsing the operation content of the voice control command and determining the command type; and controlling the parent robot and / or the child robot to execute the operation content of the voice control command according to the command type. This application can control whether the robot receiving the voice control command executes the corresponding operation content based on the command type, thereby enabling the parent robot and the child robot to operate independently or collaboratively, ensuring the harmonious and unified operation of the entire system. Therefore, this application provides convenient, real-time, and precise control of the robot system, which is beneficial for meeting the complex task requirements of the robot system. This application also discloses a control device for a robot system, a robot system, and a computer-readable storage medium.

The present invention relates to a performance system comprising: a control console that generates at least one light control signal including data of light-related operations defined according to the performance scene, and transmits it to at least one communication device; at least one communication device that transmits the light control signal received from the control console; and at least one light-emitting device that identifies a light control signal including pre-set identification information of the communication device from the transmitted light control signal, and executes the light-related operations defined in the data within the identified light control signal.

The invention relates to the technical field of low-carbon road building material monitoring and control, and discloses an epoxy asphalt mixture production construction carbon emission real-time monitoring and regulation method. The system comprises a sensor network module, a data processing and transmission module, a cloud intelligent analysis module, an automatic adjustment module and a human-computer interaction interface module. Multiple types of sensor nodes are arranged on a production line and a construction site, CO2 concentration, fuel consumption, temperature and other parameters are collected in real time, and the parameters are preprocessed by a data processing and transmission module and then uploaded to a cloud system for intelligent analysis and threshold judgment. The system can automatically adjust the combustion device, the heating equipment and the mixing power according to the real-time emission state, and dynamic control over carbon emission and energy consumption optimization are achieved. The system can generate a real-time monitoring curve and a historical report, has abnormal early warning and intelligent decision support functions, and realizes accurate monitoring and intelligent management of carbon emission of the epoxy asphalt mixture in the whole process from production to construction.

This invention provides an intelligent prediction and control method for the jacking attitude of large-size rectangular pipe jacking. The method includes: defining the attitude control principle of the rectangular pipe jacking and determining the decision variables and control range of the actual jacking process; collecting real-time actual pipe jacking attitude parameters and multi-source heterogeneous data for prediction; based on the attitude control principle and control range of the decision variables, using a trained BO-GANDALF model to solve for the optimal decision variables; and realizing intelligent control of the pipe jacking attitude based on the optimal decision variables. The BO-GANDALF model processes the model input through a GFLU feature extraction module composed of stacked gated learning units, extracts optimized feature representations, and outputs a feature parameter contribution matrix. A feedforward neural network then outputs the predicted values ​​of the rectangular pipe jacking attitude parameters based on the optimized feature representations and the feature parameter contribution matrix.

The utility model provides an artificial intelligence control device for the operation process of a water transportation port. The artificial intelligence control device has various advantages. The positioning holes provide accurate reference for device installation, and installation efficiency and quality are improved; the water transportation port is used for controlling the connecting port and the nickel-plated jack, so that stable and reliable connection, corrosion resistance and water resistance are guaranteed. The APM processor can be controlled to quickly process sensor data, real-time accurate control is achieved, and the operation automation level is improved. And the data storage stores related data, so that subsequent analysis and operation optimization are facilitated. And the wireless communication module is controlled to realize remote monitoring and control, so that the management cost is reduced. The device adopts a multiple waterproof sealing structure, prevents moisture and dust from invading, protects an internal circuit, and ensures stable data transmission. Through real-time monitoring and accurate control, operation parameters can be adjusted according to actual conditions, the safety, efficiency and resource utilization rate of port operation are improved, the cost is reduced, and the overall competitiveness is improved.

This utility model belongs to the field of low-altitude flight technology and provides an electric pitch control mechanism for aircraft propellers. It includes a propeller assembly, a propeller hub, a drive assembly, and a pitch control module. The propeller assembly is connected to the propeller hub, and the pitch control module is installed inside the hub. A sensor assembly is mounted on the pitch control module to collect real-time changes in the propeller's angle or distance. The propeller assembly is connected to the pitch control module and uses the sensor assembly to collect and provide real-time feedback on these changes, thereby controlling the pitch angle. This patent uses sensors to collect the rotation angle of the lead screw shaft, the displacement of the pitch slider, and directly collect the pitch angle, enabling real-time feedback and control of the pitch angle. Its structure is simple, and it achieves stepless control of the pitch angle. Adjusting washers are used to adjust the clearance of the lead screw shaft within the propeller hub, improving the response speed of the lead screw shaft and the response accuracy of the propeller's pitch angle.

This invention discloses an in-situ detection device and method for the intrinsic content of multiple components, belonging to the field of metal material detection and analysis technology. The implementation method of this invention is as follows: 1. Setting sample measurement indicators; 2. Measuring sample measurement indicators using standard chemical methods; 3. Using a robotic arm to pick up the sample to be tested, and acquiring the infrared spectrum of the sample using an infrared signal acquisition spectrometer to form raw spectral data; 4. Adaptively preprocessing the raw spectral data using a data processing module that removes abnormal spectra and eliminates baseline drift and scattering to form preprocessed spectral data; 5. Constructing a multi-indicator joint quantitative correction model using partial least squares and variable selection methods, and training the model using a correction set and sample measurement indicators; inputting the validation set into the trained model to obtain the detection accuracy of the intrinsic content of multiple components; 6. Outputting the detection results of the intrinsic content of multiple components; Compared with the prior art, this invention achieves simultaneous detection of the intrinsic content of multiple components.

The present application relates to the technical field of fruit and vegetable ripening, and specifically provides a sterile grading fruit and vegetable ripening control method and system, which comprises the following steps: conveying fruit and vegetables to be ripened to corresponding ripening units according to initial ripeness, and setting corresponding ripening parameters for the ripening units according to the initial ripeness; starting the ripening units, controlling the operation of the ripening units according to the ripening parameters, and starting a sterile maintenance assembly to maintain a sterile environment in the ripening units; obtaining environmental parameters and fruit and vegetable state data of the ripening units, and dynamically adjusting the operation of the ripening units according to the environmental parameters and fruit and vegetable state data; and when the fruit and vegetables in the ripening units reach target ripeness, controlling the corresponding ripening units to stop operating. The present application can realize precise ripening of fruit and vegetables with one set of parameters, avoid the problems of over-ripening or insufficient ripening caused by centralized ripening, and ensure that fruit and vegetables of the same grade have consistent ripeness, uniform taste and unified color.

This invention belongs to the field of medical device technology, specifically relating to a method and system for regulating the rotation speed of a ventricular assist device (LVAD) based on deep learning. The deep learning-based LVAD rotation speed regulation method includes: acquiring current left ventricular pressure and pump speed information; feeding the current pressure and pump speed information into a pre-trained long short-term memory (LSM) network model; obtaining the pump speed information to be regulated through the LSM network model; and sending the pump speed information to be regulated to the LVAD. This invention enables the human LVAD monitoring module to automatically adjust the pump speed according to hemodynamic changes, allowing for adaptive control of the LVAD for individual patients.

The application discloses a kind of mechanical processing parameter self-adaptive tuning method and system, it is related to numerical control processing technical field.The method is by obtaining the initial cutting parameter and tool parameter of process planning system, and is combined with the processing signal of real-time acquisition of machine tool, realizes the dynamic perception to processing process.Using the prediction output working condition result of fusion physical model and data-driven model, while generating working condition index through machine learning model processing real-time signal, after the combination of the two, input optimization method based on probability modeling, obtain and screen the candidate parameter combination satisfying constraint condition.During processing execution stage, introduce dynamic threshold monitoring, when detecting abnormality, can real-time correction or back parameter.The execution result and processing data are fed back to process planning system.The application can realize parameter self-adaptive tuning, improve prediction accuracy and processing stability, prolong tool life, reduce risk, and have sustained optimization capacity, suitable for intelligent manufacturing under complex working condition.

The invention provides a low-power-consumption dynamic frequency modulation method of a network forwarding system and the network forwarding system thereof, and relates to the technical field of network communication equipment, and the method comprises the following steps: monitoring runtime statistical items of a plurality of processing modules in the system; comparing the runtime statistical item of each processing module with a plurality of threshold values preset for the corresponding module, and independently generating a local frequency modulation index of each processing module; selecting a maximum value from all local frequency modulation indexes as a system-level frequency modulation index; a delay decline strategy is applied to the system-level frequency modulation index, a final frequency modulation instruction is generated, and when the system-level frequency modulation index declines, the final frequency modulation instruction declines after the lasting time is not lower than a preset time threshold value in the state that the system-level frequency modulation index is maintained to be not higher than the value after decline; and dynamically adjusting the global clock frequency of the network forwarding system according to the final frequency modulation instruction. And through system-level monitoring and decision making, accurate power consumption control is realized, and the power consumption of the system can be further reduced.

This utility model discloses a cableway-type river flow measurement device, including a main column and a secondary column fixed on both sides of the river channel, a traveling cableway and a traction cableway matchedly arranged between the main column and the secondary column, and a measuring trolley that can move back and forth along the traveling cableway driven by the traction cableway. A radar level gauge is fixedly installed at the bottom of the measuring trolley, and a winch mechanism is mounted on the measuring trolley. A measuring part is fixedly installed at the end of the hoisting rope of the winch mechanism. The measuring trolley is equipped with a first battery pack for driving the winch motor of the winch mechanism, and a first solar panel for storing energy from the first battery pack is installed on the top. In terms of cableway design, this device adopts an innovative approach of separating the traveling cableway and the traction cableway. By controlling the forward and reverse rotation of the traction cableway, the reciprocating movement of the measuring trolley above the river channel is achieved.

The invention relates to the technical field of air conditioners, in particular to a multi-split air conditioner system, a control method, a storage medium and a controller, and aims to solve the technical problem of how to accurately and efficiently control an electronic expansion valve of a power-off indoor unit of a multi-split air conditioner. In order to achieve the purpose, the multi-split air conditioning system comprises at least one outdoor unit and a plurality of indoor units connected with the outdoor units, and the outdoor units are connected with the indoor units through high-speed communication buses. The high-speed communication bus is used for achieving communication between the outdoor unit and the indoor unit and supplying power to the outdoor unit and / or the indoor unit. According to the invention, the communication process and the power supply function between the indoor unit and the outdoor unit based on the high-speed communication bus can be realized. Under the condition that the indoor unit is powered off, the efficient, accurate and real-time control process of the electronic expansion valve of the powered-off indoor unit is achieved.