917 results about "State control" patented technology

An electric motor based system includes an electric motor; an electric motor power controller for controlling the electric motor; a first control unit, adapted to provide first control signals for the electric motor power controller; an electric power storage device adapted to power the electric motor power controller; a first sensor adapted to determine information related to power exchange between the electric power storage device and the electric motor power controller; and a second control unit, wherein the second control unit is adapted to pass the first control signals, received from the first control unit, to the electric motor power controller in a first mode and adapted to provide second control signals for the electric motor power controller in a second mode; and the second control unit inputs and exploits the information.

The invention relates to the technical field of mobile energy storage vehicles, and discloses an AI-based mobile energy storage vehicle running state monitoring and analysis system which comprises a main controller, an AI monitoring coprocessor and a state analysis coprocessor. The main controller calls a monitoring analysis instruction and sends the monitoring analysis instruction to the state analysis coprocessor; an AI monitoring coprocessor dispatches a state analysis instruction and processes multi-modal data; and the state analysis coprocessor analyzes the parameters to generate a reference monitoring signal, cooperatively monitors the battery temperature, the charging and discharging efficiency and the load fluctuation in real time, and generates an abnormal correction signal and a state control instruction in combination with an analysis optimization mode. The system realizes accurate analysis of multi-source data and dynamic control of the energy storage unit through data preprocessing, feature dimension reduction and deep neural network prediction, improves monitoring accuracy, dynamic adaptability and intelligent level, and ensures safe and efficient operation of the mobile energy storage vehicle.

The invention relates to the technical field of engineering control, in particular to a hoisting control method of a safe and portable hoisting cage, which comprises a hoisting pre-stage, data pre-acquisition and analysis before hoisting, a hoisting control stage and hoisting landing control. In the prior art, position closed-loop control mainly depends on a stroke encoder and a position sensor, dynamic swing deviation caused by wind disturbance is difficult to accurately pre-judge and counteract in real time, and the defects of control lag and insufficient response exist. According to the scheme, the motion trail and posture of the cage are predicted in advance based on simple pendulum dynamic model numerical solution and the Runge-Kutta method, high-precision deviation detection is carried out in combination with a virtual-real vision calibration technology and AR enhanced display, a cage motion state control model based on feedforward prediction is established, trail prediction errors are greatly compressed, and the accuracy of the motion state of the cage is improved. The forward-looking inhibition of the movement of the cage, especially wind-induced swinging, is realized, and the accuracy and the response speed of an active swinging inhibition measure are obviously improved.

The invention relates to the field of industrial production, and discloses a predictive maintenance system for an ultra-efficient explosion-proof motor based on digital twinning, which comprises the following steps: when key operation parameters of the motor deviate from a normal working condition interval, judging whether the key operation parameters reach a digital twinning model activation threshold value or not; based on historical operation data, sensor real-time data and environmental factors, a digital twin model is called to construct virtual mapping of motor operation, a current state evolution trajectory is generated, and whether the operation trend has a fault or not is predicted; the state track change mode is matched with a historical fault library, and whether a potential fault path exists or not is evaluated; according to the fault risk level and the predicted occurrence time, in combination with the current production plan and the equipment health tolerance, whether an advanced intervention measure needs to be taken is judged; and generating an intervention scheme according to state regulation and control parameters fed back by the digital twinning model in combination with specific working conditions. The method has the advantage that the operation safety and the maintenance efficiency are improved.

The invention relates to the technical field of non-electrical variable control, and discloses an industrial water chiller temperature intelligent adjusting system, which comprises a refrigeration circulation loop and a control unit, the control unit calculates a steady state control component based on the water outlet temperature deviation, performs differential processing on the refrigerant pressure to extract the gradient, and outputs the gradient. Generating a transient compensation component when the gradient exceeds a dynamic noise threshold; according to the method, the problem of thermal lag is solved by utilizing the pressure wave transmission speed advantage, aggressive response is prevented from triggering low-pressure shutdown through a safety margin constraint mechanism, the pressure safety margin is calculated in real time, a gain coefficient is determined according to a nonlinear model, and a final driving instruction is generated. And the dynamic balance of the control response speed and the system physical security boundary is realized.

The invention discloses an intelligent charging pile operation safety management and control system, and belongs to the technical field of charging pile safety management and control. The charging pile monitoring module is used for monitoring operation data of each charging pile, and the operation data comprises electrical data, environmental data and mechanical data; the safety state control model is used for obtaining the safety state control model of the charging pile through a neural network according to the operation data of the charging pile, simulating the stable state and the safety change trend of the charging pile under different working conditions, and predicting the operation state of the charging pile; meanwhile, an evaluation index of the operation data is set, a target threshold value is set for the evaluation index, and a safety strategy is preset for the evaluation index; therefore, the safety attribute of the charging pile is judged, and a safety strategy corresponding to the operation data is matched. The safety and stability of the charging pile are improved.

The invention relates to the technical field of boiler control, and discloses a gas-fired boiler starting control method and system. The method comprises the following steps: acquiring initial operation parameters such as hearth pressure, water inlet temperature, flue gas oxygen content and fuel valve opening of the gas-fired boiler, establishing a thermodynamic state model in a starting stage according to the initial operation parameters, and dividing dynamic response thresholds of different load intervals; and calculating a theoretical fuel supply rate of the combustor based on the model, generating and dynamically updating a fuel supply correction coefficient in combination with a threshold value, synchronously marking key nodes according to abnormal distribution of hearth temperature, and adjusting a spatial air distribution strategy of the combustor. And after the correction coefficient is subjected to multi-stage buffer smoothing, a fuel control instruction is output to an executing mechanism. And switching to steady state control after the boiler reaches the preset load. The method adapts to the characteristics of a power plant unit, so that the starting process is more stable, the damage to a heated surface and pollutant emission are reduced, and rapid grid connection is assisted.

The invention relates to the technical field of intelligent control of refrigeration equipment, in particular to an artificial intelligence-based screw compressor running state control system and method, which comprises a signal acquisition unit, a disturbance identification unit and a compressor control unit, the signal acquisition unit acquires a refrigeration house door opening and closing state time sequence signal and three-dimensional temperature field change data, the disturbance identification unit synchronously locks the door opening moment through a timestamp, divides a core influence area and a stable conduction area, analyzes the correlation between the temperature change rate and the door opening angle and the temperature fluctuation amplitude, and determines the temperature change rate of the door opening angle. And the door opening disturbance or equipment abnormity identification factor is output, and the compressor control unit executes differential regulation according to the door opening disturbance or equipment abnormity identification factor, so that the problems of disturbance misjudgment and regulation rigidity in traditional control are solved, and the operation stability and energy consumption control precision of the compressor are improved.

The invention relates to the technical field of energy-saving control, in particular to a computer energy-saving state control method and system, and the method comprises the following steps: constructing a task graph model based on a computer task dependency relationship, calculating a dependency intensity value between tasks, recognizing a task resource scheduling sequence, and analyzing the association degree between the tasks; tasks with high dependency are preferentially distributed to shared computing resources, and a task relevance scheduling scheme is generated. In the invention, through dynamic scheduling based on the task load and the dependency relationship, the system can accurately adjust the allocation and the power state of the computing resources under different loads, improve the resource use efficiency when the load is high, monitor the power consumption and the temperature change of the computing unit in real time, and dynamically adjust the working mode and the frequency of the computing resources; excessive energy consumption and heat accumulation are effectively avoided, the system can adjust the power state according to the actual demand of a task, efficient energy use of the system is kept, unnecessary resource consumption and temperature fluctuation are reduced, and the overall energy efficiency is improved.

The invention is suitable for the technical field of automatic driving vehicle control, and provides a full-state control method for dynamic drifting of a distributed driving vehicle, which comprises the following steps of: tracking a reference path to obtain an expected state quantity; establishing a dynamic error of a full state to obtain expected state derivatives of the velocity, the side slip angle and the yaw velocity; calculating a rear tire force weight, and implementing rear tire force constraint of the distributed driving vehicle; inverting the vehicle dynamics model to obtain expected longitudinal force and lateral force of each wheel; performing tire model inversion to obtain an expected front wheel slip angle and wheel speed of each wheel; and according to the expected front wheel slip angle and the wheel speed of each wheel, an actuator is adjusted, and control instructions of the steering wheel angle and the torque of each wheel are generated. The state of the vehicle can be accurately controlled, the maneuverability of the vehicle is good during conventional turning and limit drifting, and the vehicle can flexibly cope with complex working conditions; the stability and safety of the vehicle are enhanced, and the full-state dynamic drift control of the distributed driving vehicle is realized.

The invention discloses a water-to-air cross-medium adaptive cooperative control method, and belongs to the technical field of cross-medium aircraft control. In order to overcome the hysteresis defect of cross-domain control of a cross-medium aircraft, through the steps of multi-source sensing and disturbance prediction, cross-modal strategy preloading and power excitation, structure unfolding and transient energy coupling, pneumatic steady-state control and fractal recursive optimization and the like, microsecond-level fluid disturbance pre-judgment is achieved through a chaos phase synchronization engine; and in combination with fractal recursion reinforcement learning compression attitude control errors, the millisecond delay problem of nonlinear disturbance real-time prediction and compensation in the cross-medium process is solved. According to the method, the control precision and stability of the aircraft in cross-medium motion can be improved, smooth transition of a water-air dynamic model can be realized, and the reliability of the aircraft in a complex sea-air interaction scene is enhanced.

The invention provides an intelligent fan running state control system based on multi-source data, and relates to the field of wind power generation, and the intelligent fan running state control system comprises the steps: firstly, collecting a time sequence set of running parameter data of a target fan object and a time sequence set of electric field outlet power data, and then constructing a field domain-equipment two-stage information fusion mechanism; and performing mutual information guided deep interaction on the global time sequence characteristics of the electric field outlet power and the local time sequence characteristics of the single machine operation parameters, thereby optimizing the expression of the self-information of the fan operation state by using the time sequence characteristics of the electric field outlet power, determining the detection result of the fan operation state, and determining the early warning level and the control strategy. The method is used for breaking through the technical bottleneck of decoupling of global context information and local equipment state of wind power plant operation in a traditional method, and is beneficial to more accurate detection and control of the operation state of the fan.

According to the heterogeneous multi-core chip power consumption state control system and the heterogeneous multi-core chip provided by the invention, the power consumption state request of each sub power supply domain is received through the set system hardware power consumption management module, and the driving signal is sent to the corresponding sub power supply domain according to the preset hardware time sequence, so that the corresponding sub power supply domain enters the target state; generating a PMU control signal; and the power management module drives an internal voltage regulator to execute corresponding regulation operation according to the PMU control signal. A special control processor (SCP) is not needed, the system hardware power consumption management module realized by pure hardware is adopted to directly control the power consumption state of each sub power supply domain in the heterogeneous multi-core SoC, the software processing delay is eliminated, the response speed is high, the static power consumption of the power consumption management module is remarkably reduced, and the system is particularly suitable for an ultra-low power consumption scene and has a wide application prospect. And hardware-level surge current protection is realized in a multi-core power-on process.

The invention discloses a linkage control system and method for cold energy storage and release in an energy storage low-temperature interval, belongs to the technical field of energy storage system temperature control, and aims to solve the problems that traditional energy storage cold energy regulation is lagged, cold energy waste is serious, and dynamic changes of working conditions are difficult to adapt. According to the system and method, cold release judgment is triggered based on the environment temperature and the temperature of an energy storage module, a cold release interval is defined by predicting the environment temperature and the temperature of the energy storage module in a fitting mode, a temperature prediction curve is dynamically corrected in combination with real-time working conditions, cold release subintervals are divided, and a cold release control instruction is generated; and meanwhile, the temperature of the energy storage module is monitored in real time to correct the cooling capacity release control instruction, and a cooling capacity recovery instruction is generated by monitoring the temperature of the cooling liquid. Accurate steady-state control over the temperature of the energy storage module and efficient circulation of the cooling capacity are achieved, and the operation economical efficiency and safety of the energy storage system are remarkably improved.

The invention provides a deep sea hydrothermal sampling system benthonic submersible and a state control method, and the method comprises the steps: planning a motion track according to a task demand, and dynamically adjusting the control force distribution weight of a propeller and a mechanical leg system according to an error between an actual motion state and an expected value, thereby optimizing the motion performance, and improving the stability of the underwater submersible. Through thrust distribution and inverse dynamics decomposition, the thrust and rotating speed of each propeller and the joint torque of the mechanical leg are accurately controlled, through the combined action of the mechanical leg and the propeller, the pose stability of the benthonic submersible in the working process is kept, the benthonic submersible has the capabilities of resisting ocean current interference and adapting to rugged terrains, and then the position pose precision of a hydrothermal sampling system is guaranteed. The operation efficiency is ensured, a closed-loop control system fuses sensor data, the data are processed by a state observer / filter, and the actual state of the submersible is fed back in real time, so that the precision and stability of motion control are improved, and the operation capability and adaptability of the submersible in a complex environment are enhanced.

The invention discloses a storage tank pressurization control method and system based on LNG gas station fuzzy self-adaptive PID control, and aims to solve the technical problems that a traditional pressurization control method of an LNG storage tank is low in control precision, poor in stability and rapid in equipment abrasion. According to the control method, dynamic compensation for the target pressure is introduced, so that the system can aim at a more accurate control target in the initial stage, the steady-state control deviation is reduced, and the control precision is improved. And static pressure head change disturbance caused by liquid level change is overcome through dynamic compensation, the adjusting burden of the controller is reduced, the controller can focus on processing other dynamic disturbance, and therefore the control process is more stable, and overshoot is smaller. Through the design of a dynamic compensation mechanism and a special fuzzy rule base, the system can automatically adapt to various complex working conditions, and fast, stable and overshoot-free pressure control is always kept. Therefore, frequent and large-amplitude action and surge phenomena of the valve are avoided, and the energy consumption of an executing mechanism is reduced.

The embodiment of the invention provides an AI digital human-oriented conference state control method and system, and the method comprises the steps: obtaining conference environment data; performing multi-modal analysis on the conference environment data to obtain a conference state evaluation result; generating a conference control instruction according to the conference state evaluation result; and executing a conference process control operation according to the conference control instruction. According to the embodiment of the invention, the problem of process stiffness caused by passive response in the prior art is solved, and the flexibility, naturalness and intelligence level of conference control are remarkably improved, so that the conference efficiency is effectively improved, the interaction experience of participants is enhanced, and the dynamic change requirement in a complex conference scene is met.

The invention discloses a ZIGBEE-based Wi-Fi module dormancy method, which comprises the following steps of: intelligently controlling dormancy and awakening of a Wi-Fi module through cooperative work of a ZIGBEE monitoring module, a Wi-Fi state control module, a data caching module, a dormancy mode switching module, an awakening control module, a self-adaptive parameter adjusting module and a fault monitoring module; and the power consumption management and cruising ability of the system is improved.

The invention provides a maintenance rescue interface system, a vehicle energy system, a child-mother vehicle energy sharing system and a vehicle state control method, and relates to the field of new energy vehicles. The maintenance and rescue interface system is arranged on any one of a child vehicle and a mother vehicle and comprises a maintenance and rescue change-over switch, a maintenance and rescue controller and a maintenance and rescue interface, wherein the maintenance and rescue change-over switch and the maintenance and rescue controller are arranged in the vehicle, and the maintenance and rescue interface is arranged outside the vehicle; the maintenance and rescue change-over switch is connected with a maintenance and rescue controller, the maintenance and rescue controller and a power battery system on the vehicle are both in communication connection with a vehicle control unit on the vehicle, and the power battery system and the maintenance and rescue controller are connected with a high-voltage power supply interface and a low-voltage communication interface of the maintenance and rescue interface respectively; and the high-voltage power supply interface and the low-voltage communication interface of the maintenance rescue interface are respectively used for connecting high-voltage power supply interfaces and low-voltage communication interfaces on maintenance rescue interfaces of other vehicles. Therefore, energy sharing of the two vehicles can be rapidly achieved, and the method is suitable for diversified scenes.

The invention discloses a pet accompanying robot state control system and method capable of dynamically updating characters, and the method comprises the steps: sensing the current state of a user, and recognizing the emotion state of the user through a multi-mode emotion calculation method based on the current state of the user; each feedback state of the pet robot is generated; based on the selected specific feedback state, the appropriate pet robot feedback expression, action and sound effect are intelligently matched; and synchronously controlling the pet robot to realize integral state output of man-machine interaction. According to the method, the specific feedback state is output by combining the multi-mode emotion perception with the personality of the pet robot, so that the personalized interaction experience of the pet robot is improved. Meanwhile, through a dynamic updating mechanism of the character of the pet robot, the pet robot can evolve continuously, and the emotional accompanying experience of thousands of people in long-term use of the user is improved.

The invention discloses a loop control method and system based on RISC-V expansion. The loop control method comprises the following steps: customizing a loop control instruction in a main operation code and an instruction coding space reserved by RISC-V; an instruction fetching module, a decoding module, a state control register and a hardware loop control module are designed, loop information is written into the state control register by the decoding module, the loop information is read from the state control register by the hardware loop control module, arbitration is carried out by combining a control signal and an instruction address of the decoding module, and when a current address does not reach a loop end, the hardware loop control module is started. Sending an enable signal to enable the instruction fetching module to fetch instructions in sequence, and sending a cycle start address to the instruction fetching module to enable the instruction fetching module to circulate continuously when the current address reaches the last instruction of the cycle section and the cycle times are not reset to zero, so that a condition jump instruction of existing cycle judgment is omitted; and an assembly instruction part for loop control is replaced by an expanded loop control instruction, so that the performance loss caused by a loop program can be effectively reduced.

The invention relates to the technical field of industrial robots and intelligent control, and discloses an explosion-proof robot MOS tube optimization driving control method and system based on an intelligent algorithm. The method comprises the following steps: acquiring multi-point temperature monitoring data of a power device to construct a virtual thermal gradient model; according to the virtual thermal gradient model, operation boundary parameter optimization calculation is carried out, and a dynamic safety threshold value is determined; acquiring real-time output state data of the driving system and generating a preliminary steady-state control strategy by combining the real-time output state data with the dynamic safety threshold; monitoring load efficiency feedback data, and triggering multi-target optimization of driving parameters by taking the dynamic safety threshold as a boundary constraint when an efficiency decline feature is identified, so as to obtain a to-be-verified driving parameter set; performing online prediction verification on the to-be-verified driving parameter set to generate a verification result identifier; and according to the verification result identifier, performing configuration updating or configuration keeping processing on a control register of the driving system during operation. The method effectively improves the system stability.

A portable fluid tank system can include wireless control capabilities. The portable fluid tank system can include a fluid tank with an internal volume for fluid storage and a fluid actuation system for controlled fluid movement and pressurization. An electronics housing within the portable fluid tank system can accommodate a removable energy storage device, providing power to the actuation system. The portable fluid tank system can include a multi-state control interface, facilitating direct user interaction or remote operation via a wireless communication module. The module can receive and execute commands from a remote transmitting device, enabling remote activation and control of the fluid actuation system.

The invention discloses a distributed driving ideal yaw target setting and stability control method, which comprises the following steps of: establishing a whole vehicle dynamics model suitable for controller design, inputting related parameters through a vehicle, combining front and rear wheel side slip angle phase planes, carrying out region division of a stable state, and carrying out target setting and stability control on the whole vehicle dynamics model. According to the method, maneuverability and stability analysis and setting are carried out on the yaw velocity, the yaw velocity is fused, steady state control and feed-forward control are generated through the first step and the second step of a three-step method, then feedback control is carried out through an LQR controller, finally, the three quantities are superposed to obtain the needed additional yaw moment, reasonable distribution control is carried out based on the additional yaw moment, and the control precision is improved. The method aims at minimizing the distribution error and reducing the tire load utilization rate, adopts a multi-target optimization torque distribution strategy to distribute the four-wheel torque, and controls the four-wheel torque of the vehicle so as to achieve the purpose of distributed driving control.

To provide a game machine for improving the interest of the instruction of a stop operation form.SOLUTION: The game machine includes an instruction means capable of instructing a stop operation mode and a privilege imparting means for imparting a privilege advantageous to a player, the instruction means is capable of executing a specific instruction for instructing that a normal mode is not recommended in a preparation state, the state control means maintains the preparation state when the stop operation is performed in the normal mode, shifts a game state to an advantageous state when the stop operation is performed in the irregular mode, and the privilege imparting means can impart a privilege when a prescribed condition is established during the preparation state.SELECTED DRAWING: Figure 10

The invention relates to the technical field of disinfection cabinet operation supervision, and particularly discloses a disinfection cabinet operation supervision method and system based on voice recognition, and the method comprises the steps: collecting multi-feature fusion voice data, judging whether to trigger voice collection, carrying out the preprocessing of an obtained voice signal, converting the voice signal into a text sequence, and carrying out the recognition of the text sequence; analyzing the recognized text sequence, judging the type of an instruction, collecting disinfection cabinet state data, constructing a disinfection cabinet state control model, matching a disinfection cabinet control scheme, obtaining disinfection cabinet operation monitoring data, judging the abnormal operation state of the disinfection cabinet, and determining the abnormal operation level of the disinfection cabinet. The problems that a large amount of manpower is consumed, real-time and comprehensive supervision cannot be achieved, the overall operation condition of the disinfection cabinet cannot be deeply analyzed and intelligently judged, and automatic supervision means are limited in traditional inspection of the operation state of the disinfection cabinet are solved, the reliability of equipment is improved, and the service life of the equipment is prolonged.

To provide a game machine that can enhance playability and interest without increasing man hour and control load.SOLUTION: A game machine can make a bonus winning combination determination mode by winning combination determination means different between a first specific state and a second specific state. The second specific state is more advantageous in the bonus winning combination determination mode than the first specific state. State control means can control a game state to the second specific state on condition that a bonus state ends, and control a game state to the first specific state in response to the satisfaction of a specific end condition in the second specific state. A prescribed transition symbol combination is configured to be displayable in a game in which a specific winning combination is determined as a winning combination by the winning combination determination means. In a game in which a specific winning combination is determined as a winning combination by the winning combination determination means, a prescribed transition symbol combination is displayed regardless of a player's stop operation mode.SELECTED DRAWING: Figure 400

The invention discloses a vector six-rotor aircraft full-state control method based on a high-order dynamic model, and belongs to the field of vector rotor aircraft tracking control. The invention aims to solve the problems of poor angular acceleration estimation accuracy and low precision of the existing vector rotorcraft control method based on a jerk dynamics model. According to the invention, an angular acceleration observer based on a high-order dynamic model and a full-drive system theory is designed, effective estimation of an angular acceleration signal can be realized without depending on external sensor equipment, and high-precision and high-speed tracking of the position attitude of the six-degree-of-freedom vector six-rotor aircraft can be realized. The method is mainly applied to the pose tracking of the six-degree-of-freedom vector six-rotor aircraft.

The invention provides a ceramic card production data state control method and system. The method comprises the following steps: obtaining production data in a ceramic card production process; by adopting the data acquisition module with a distributed architecture, sensor self-diagnosis and self-adaptive adjustment functions and dynamic self-adaptive time interval data acquisition, and combining with the preprocessing and standard storage mode of the data processing and storage module, the problems of inaccurate production data recording and transmission delay errors are solved; the data state updating module monitors in real time, updates the state based on a machine learning model, and realizes data state real-time tracking and anomaly discovery by matching with a visual platform of the data state monitoring and early warning module, dynamic threshold early warning and multi-mode early warning; a multi-dimensional analysis result is generated through a data analysis module by applying a professional tool and an algorithm, and an intelligent decision-making module constructs an intelligent decision-making model and provides an effective data state control mechanism, so that reasonable production scheduling and decision-making are performed according to a production data state.

The invention relates to the technical field of data processing systems, and discloses a conference information intelligent data processing system based on multi-modal data fusion, and the system comprises a transaction template generation unit which calls a model from a preset rule base to generate a structured data container with an attribute field; the dual-channel feature extraction unit is used for distributing the voice to service data and a control instruction channel, extracting the service data to an independent cache region and monitoring a control keyword; the state control unit is used for unlocking the container only when the confirmation instruction is received, verifying data and writing a field to generate a transaction submission instruction; according to the system and the method, physical isolation of data flow and control flow is realized through a dual-channel architecture, a control instruction is used as a unique logic gating, non-decisive negotiation noise is filtered from the source, and atomicity and compliance of conversion from unstructured conference data to structured management transactions are ensured.