3320 results about "Information control" patented technology

The invention provides a method and a device for controlling and testing formation driving of autonomous vehicles. The method comprises the following steps: acquiring current scene features based on a sensing device configured on a road side unit and / or an autonomous vehicle; the current scene feature is matched with a preset scene library, target formation control information is obtained, the preset scene library stores a mapping relation between multiple groups of scene features and formation control information, and the target formation control information comprises pilot vehicle control information and control information corresponding to at least one following vehicle; and based on the target formation control information, controlling the leading vehicle and the following vehicle to perform formation driving. According to the method and the device, the formation scene of the automatic driving vehicles in multiple scenes such as expressways is introduced, the problems of scattered test organization and limited scene coverage in the traditional road test are solved, multi-source heterogeneous sensing fusion dynamic correction can be constructed, and the formation cooperative control of the automatic driving vehicles in the high-speed environment is realized; the problem of perception degradation caused by failure of a single sensor is solved.

The invention discloses an intelligent decision-making method and system for a water impeller, and relates to the technical field of sewage treatment, and the method comprises the steps: obtaining first sewage state data; inputting the first sewage state data into the trained first model to obtain a predicted flow impeller action; inputting the action of the water impeller into the safety boundary model to obtain safety boundary information of the action of the water impeller; and the controller judges whether to execute the action of the water impeller or not according to the safety boundary information. According to the scheme, the water impeller has the intelligent decision-making capability through the first model, and the made water impeller action achieves the dual effects of guaranteeing safety and saving energy consumption through training and judgment of the safety boundary.

The invention discloses an engineering exhibition digital exhibition space dynamic regulation and control method fused with environment perception, and particularly relates to the technical field of dynamic regulation and control, and the method comprises the steps: constructing an environment perception and control integrated architecture, and enabling a distributed sensor network to collect environment characteristic parameters and equipment operation state information; the control center carries out abnormal value correction, space-time alignment fusion data and space-time feature extraction, and generates a state deviation analysis result and a space dynamic feature map; outputting an environment comfort level, an equipment stability index and an environment-equipment coupling coordination degree based on a multivariable coupling analysis model of a graph convolutional network and an attention mechanism; obtaining final judgment results such as environmental risks and equipment hidden dangers through thresholding processing and rule matching; and generating a differential optimization scheme to trigger regulation and control, a closed-loop iterative optimization algorithm and an early warning threshold. According to the invention, by realizing environment-equipment cooperative regulation and control, the regulation and control precision and the intelligent level are improved, continuous optimization is guaranteed, the energy consumption is reduced, and the risk response capability is enhanced.

The embodiment of the invention provides a continuous blood oxygen monitoring system in extracorporeal circulation and a control method thereof. The continuous blood oxygen monitoring system comprises a vein sensor, an artery sensor, a blood flow sensor, an oxygen sensor, a carbon dioxide sensor, a controller and a display, the vein sensor monitors the vein blood oxygen saturation degree; the artery sensor monitors arterial oxygen saturation and hematocrit; the blood flow sensor monitors the blood flow of the artery pipeline; the oxygen sensor monitors the oxygen concentration of the oxygenator; the carbon dioxide sensor monitors the carbon dioxide concentration of the oxygenator; the display provides an interaction control, responds to a trigger operation acting on the interaction control, sends an interaction instruction to the controller, and updates information displayed in an interaction interface according to the control of the controller; the controller receives the interaction instruction and executes processing corresponding to the interaction instruction; the processing includes controlling display information of the display; the display information comprises information corresponding to the monitoring parameters. The scheme ensures the safety and effectiveness of the treatment process.

The invention provides a low-altitude airspace management system and method, and the system comprises a channel planning module which is used for determining a current flight channel of a target aircraft according to the flight data of the target aircraft and the target airspace data of a target low-altitude airspace through which the target aircraft passes; the flight adjustment module is used for adjusting the current flight state of the dangerous aircraft with the flight risk; the airspace coordination module is used for establishing real-time information sharing and controlling the multiple aircrafts to perform coordination work according to the shared information; and the fault response module is used for determining a target processing strategy of the fault aircraft for the fault aircraft with the fault condition, and processing the fault aircraft according to the target processing strategy. Therefore, an intelligent, efficient and safe low-altitude aircraft management scheme is provided, the flight safety can be guaranteed, and the airspace resource utilization rate can be improved.

The utility model discloses an automatic egg picking robot which comprises a walking mechanism, a mechanical arm, an egg picking mechanism, an egg picking mechanism, an egg picking mechanism and an egg picking mechanism. The picking clamp comprises a cleaning part and an egg picking part; the image recognition mechanism comprises a processor and an image collector, and the image collector is connected with the processor; wherein the egg picking component and the sweeping component are arranged at the mounting end part of the mechanical arm, and the image collector is arranged on the mechanical arm; the processor is configured to control the sweeping component and the egg picking component to act according to image information collected by the image collector. Full automation of the process of picking up the duck eggs laid by the flat-fed breeding ducks is achieved, the labor intensity of workers is remarkably reduced, the working efficiency is improved, meanwhile, it is guaranteed that the egg laying environment is quiet and neat, and continuous production of the breeding ducks is facilitated.

The invention belongs to the technical field of unmanned aerial vehicle control, and discloses an unmanned aerial vehicle delivery method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining the delivery task information of an unmanned aerial vehicle, controlling the unmanned aerial vehicle to fly to an air area to obtain the position information of a target identifier, and recognizing the motion state of the target identifier based on the position information, and when the target identifier is in a moving state, calculating to obtain a predicted moving track of the target identifier through a dynamic target prediction model, generating flight path information according to the environment information in combination with the position information or the predicted moving track, controlling the unmanned aerial vehicle to fly to a delivery position corresponding to the flight path information, and performing wind speed compensation based on the wind speed compensation information. Controlling the unmanned aerial vehicle to deliver the target material to a receiving area corresponding to the target identifier; and based on the environment information and the position information or the delivery position corresponding to the flight path information generated by the predicted movement track, the unmanned aerial vehicle is controlled to deliver, and the delivery efficiency of the unmanned aerial vehicle is improved.

The invention discloses an auxiliary driving method and device and intelligent driving equipment, and the method comprises the steps: obtaining weather information which indicates the weather type and / or road surface type of the current environment of the intelligent driving equipment; wherein the first weather type comprises one or more of a weather type for limiting visibility of a driver, a weather type for limiting sensing capability of a sensing system, or a weather type for increasing a braking distance of the intelligent driving equipment, and the first road surface type comprises a road surface type for increasing the braking distance of the intelligent driving equipment; according to the first environment information, a prompt device of the intelligent driving equipment is controlled to prompt a driving suggestion, and the driving suggestion comprises a driving strategy corresponding to the first environment information. The method can be applied to vehicles such as intelligent vehicles and new energy vehicles, and when severe weather influencing driving safety is detected, the vehicle user can be prompted about related information in time, so that the influence of the severe weather on driving is reduced.

The invention relates to the technical field of robot control, and discloses an assembly robot, a battery assembly method and a computer readable storage medium. The assembly robot comprises a control unit, a shooting unit, a first mechanical arm and a second mechanical arm. The shooting unit collects a first depth image of the assembly part storage area and first point cloud data of the battery assembly area; the control unit calls a first target recognition model to perform feature extraction and attention weighting on the first depth image to obtain a weight feature map, and recognizes first pose information of the target assembly part based on the weight feature map; the control unit determines second pose information of the target assembly position and the fixing part assembly position based on the first point cloud data; and the control unit controls the first mechanical arm to grab the target assembly part and place the target assembly part on the target assembly position according to the first pose information, and controls the second mechanical arm to assemble the fixing part to the fixing part assembly position according to the second pose information. Manual operation is avoided, and the assembling precision of the battery is improved.

A dishwasher may include: a user interface device; communication circuitry; and a controller configured to: receive, through the communication circuitry, external humidity information detected by an appliance in an environment of the appliance, based on the received external humidity information and a washing course of the dishwasher that is input via the user interface device, change setting information related to an operation of at least one of a rinsing process of the washing course or a drying process of the washing course, and based on the changed setting information, control the operation of the at least one of the rinsing process of the washing course or the drying process of the washing course.

The invention provides a robot control method and device, electronic equipment and a computer readable storage medium. The method comprises the following steps: acquiring image data and depth data of an environment in which a to-be-grabbed object in a stacking scene is currently located; performing data conversion on the image data and the depth data to obtain point cloud data; performing pose estimation based on the point cloud data to obtain pose information of each target object in the current environment and the to-be-grabbed object; constructing a contact propagation graph of the current environment based on the point cloud data; and controlling the robot to grab the to-be-grabbed object based on the contact propagation map and height information in the pose information. According to the method and the device, the success rate of the robot in a stacked object grabbing scene can be improved.

The invention discloses a multi-degree-of-freedom supporting mechanism which comprises a base and a motion platform and further comprises a constant force compensation module connected between the base and the motion platform and used for balancing the motion platform and most of gravity loaded by the motion platform; the six-degree-of-freedom parallel fine adjustment module is connected between the base and the motion platform and used for providing six-degree-of-freedom accurate pose adjustment; the air floatation vibration isolation module is arranged between the base and the motion platform; the sensing system comprises a plurality of pressure sensors, and the pressure sensors are arranged on the constant force compensation module and / or the six-degree-of-freedom parallel fine adjustment module and used for monitoring stress information in real time; and the control system is in communication connection with the sensing system and the six-degree-of-freedom parallel fine adjustment module, and is used for controlling the six-degree-of-freedom parallel fine adjustment module to perform active vibration isolation and pose adjustment based on a feedback signal of the pressure sensor.

A control device includes a housing and a circuit board assembly. The circuit board assembly includes a circuit board, a processing chip, a gas detection probe and a controllable switch element. The processing chip is configured to acquire target gas information in an environment through the gas detection probe. A control end of the controllable switch element is electrically connected to the processing chip. An output end of the controllable switch element is configured for electrical connection with an external device. The processing chip is configured to control switching on or off of the controllable switch element at least according to the target gas information, thereby controlling change of an electrical signal of the external device. An air conditioner having the control device is also disclosed.

The invention discloses an automatic tightening method for vehicle screws, and relates to the technical field of automatic control, and the method comprises the steps: obtaining the dynamic information of a target vehicle and the initial position information of all target screw holes; based on the dynamic information, the mobile platform is controlled to perform synchronous following motion, so that the mobile platform and the target vehicle keep a preset relative position relationship; based on the initial position information, an execution mechanism installed on the mobile platform is controlled to position a preset target screw hole, the actual position of the preset target screw hole is obtained, and the preset target screw hole is determined from all the target screw holes based on a preset screening rule; determining target positions of all target screw holes based on the actual position and initial position information of the preset target screw holes; and the execution mechanism is controlled to move to target positions corresponding to all the target screw holes, and all the target screws are tightened.

The invention provides a humanoid robot stable grabbing control method based on vision. The humanoid robot stable grabbing control method comprises the steps that a target image of a workpiece to be grabbed is obtained through an image sensor of a humanoid robot; generating a segmented image of the workpiece based on the target image by using an image segmentation model; generating pose information of the workpiece in a world coordinate system based on the segmented image by using a pose acquisition model; the pose information is converted into a tool coordinate system of the dexterous hand through coordinate transformation, and grabbing information of the workpiece is obtained; and controlling a dexterous hand mounted at the tail end of a mechanical arm of the humanoid robot to grab the workpiece according to the grabbing information. The invention further provides a vision-based stable grabbing control device for the humanoid robot, electronic equipment for realizing stable grabbing control of the humanoid robot, and the humanoid robot.

The invention discloses a large Qinling Mountain area-oriented human interference pattern spot identification and risk diagnosis device, and belongs to the technical field of ecological environment monitoring and protection. The device comprises a remote monitoring terminal and at least one monitoring unit wirelessly connected with the remote monitoring terminal; the monitoring unit comprises an acquisition module and a processing module; the remote monitoring terminal is configured to receive the image data, perform man-made interference pattern spot identification, assess risks according to the identified pattern spot information, and control the processing module to work according to the identified pattern spot information; the monitoring unit further comprises an unmanned aerial vehicle body. The processing module comprises an acousto-optic mechanism and a marking mechanism which are arranged on the unmanned aerial vehicle body. The system integrates the monitoring unit with image acquisition and on-site disposal functions and the remote monitoring terminal, realizes real-time identification, risk level evaluation and quick response of man-made interference pattern spots in the big Qinling Mountain area, and effectively overcomes the problems of low efficiency, many blind areas and the like in traditional manual patrol and fixed monitoring.

The embodiment of the invention discloses a brushless direct current motor control system, and the system comprises a communication module which is used for receiving a control instruction; the detection module is used for collecting state information of the brushless direct current motor in real time; the control module is electrically connected with the communication module and the detection module and is used for executing a field-oriented control algorithm in a fixed-point operation mode based on the control instruction and the state information of the brushless direct current motor so as to generate a motor driving signal; and the driving module is connected with the control module and is used for receiving the motor driving signal and driving the brushless direct current motor to operate. According to the brushless direct current motor control system provided by the embodiment of the invention, hardware operation load is simplified through fixed-point operation, a low-cost embedded processor is adapted, and the problem that a field-oriented control algorithm on a low-cost hardware platform is difficult to consider both operation efficiency and control precision is solved.

Techniques and mechanisms for fine-tuning a language model to be optimized for a network device to which the language model is deployed. A controller for a network may maintain an inventory of network devices in a network, and obtain device information for the network devices. The controller may analyze the device information to determine a device type or role for the network devices. The controller may then select a pre-trained model that is optimal or well-suited for a device type of a particular network device, and perform a distillation function of the language model. Once the language model has been distilled, the controller may augment the language model with locally relevant information such that the language model is contextually relevant for the network device. After fine-tuning the language model, the controller pre-positions the language model on the device so network administrators and other users can access it when necessary.

The invention relates to the technical field of air conditioner refrigeration, and discloses an intelligent energy-saving air conditioner refrigeration system based on the frequency conversion technology and a control method thereof.The intelligent energy-saving air conditioner refrigeration system comprises various sensors used for collecting environment data in real time, and the environment data comprise but not limited to temperature, humidity, illumination and personnel activity information; the control unit is connected with the inverter compressor and the multivariable sensor network and is used for generating a control signal according to the environment data so as to dynamically adjust the operation frequency of the inverter compressor; the control unit comprises a data processing module used for preprocessing environment data collected by the multivariable sensor network; through a multivariable adaptive control algorithm, various environmental factors such as temperature, humidity, illumination and personnel activity information are comprehensively considered, and the operation frequency of the inverter compressor is dynamically adjusted. Compared with a traditional air conditioning system which only depends on a single temperature variable for control, the indoor set temperature can be more precisely maintained, temperature fluctuation is reduced, and the temperature control precision is remarkably improved.

The invention discloses a master-slave teleoperation-oriented force sense information master control system and a resolving method thereof, which are applied to a master-slave teleoperation scene, the master-slave teleoperation scene comprises a master-end teleoperation system, a slave-end mechanical arm system and a communication module, and the master-end teleoperation system comprises a master-end hand controller and a master-end upper computer which are directly connected; the master end upper computer is further internally provided with a force sense information master control unit, and the force sense information master control unit obtains interaction force of the slave end mechanical arm and the external environment under the condition that a sensor is arranged at the tail end of the slave end mechanical arm or no sensor exists, and calculates the interaction force into the master end hand controller. A combined filter is provided to cope with force information interference factors, a user interface is further provided to feed back interaction force between a slave end mechanical arm and an external environment to a master end visual interface, master-slave end overall exchange and comprehensive control of force sense information are achieved, a visual reference is provided for a master end operator to make a decision, and a force sense immediacy sense can be established for master end hand controller equipment.

According to one embodiment, a memory system includes a nonvolatile memory and a controller. The controller manages first account information to be used for authentication of a first account and second account information to be used for authentication of a second account. The controller receives third account information from a host device. When the third account information matches the first account information, the controller permits access to at least a partial storage area of the nonvolatile memory based on a request from the host device and transmits first data that includes the second account information to a first memory system.

It is possible to achieve both a high-resolution real-space image used in, for example, a video see-through type of AR device or MR device, and reduced system load. By an image acquisition unit, a first image captured at a first angle of view and a second image captured at a second angle of view narrower than the first angle of view within the first angle of view are acquired. By an image generation unit, a display image is generated by synthesizing an image of a high-resolution region based on the second image and an image of a peripheral region around the high-resolution region based on the first image. For example, based on gaze information of a user, the movement of an imaging direction of an image capturing unit for obtaining the second image is controlled, and the movement of a position of the high-resolution region is also controlled.

The invention discloses a double-interlocking logic AB type lock hook for a safety belt and a lock hook interlocking system, and relates to the technical field of high-altitude operation safety protection, the lock hook comprises a lock hook controller, the lock hook controller is in communication connection with the following modules: a state sensing module, which is used for monitoring the locking state of a main lock and an auxiliary lock of the AB type lock hook in real time, lock body state information is provided for a lock hook controller; and the control logic module is used for dynamically controlling unlocking and locking permissions of the main lock and the auxiliary lock according to the lock body state information of the state sensing module. According to the invention, a forced alternate locking mechanism is constructed, only the main lock is authorized to be unlocked during initialization, the authority of the auxiliary lock can be activated after the main lock is locked, and the authority chain is automatically reset after the auxiliary lock is locked, so that at least one lock body is always in a locked state in the climbing and hooking process; the risk of hanging in air caused by illegal operation or misjudgment of operators is effectively prevented, and the safety of high-altitude operation is fundamentally improved.

The utility model discloses an Internet of Things tunnel interval controller combined with a digital microwave radar, and the controller comprises a radar module which is used for obtaining traffic flow information in a non-contact manner; the control module is used for executing logic judgment and generating a control instruction according to the traffic flow information acquired by the radar module; the data storage module is used as a nonvolatile storage space of the Internet of Things tunnel interval controller; the radio frequency communication module is used for realizing networking and remote management through an Internet of Things communication protocol; the power supply module is used as a power supply basis of the Internet of Things tunnel interval controller, and the power supply module is connected with the radar module, the control module, the data storage module and the radio frequency communication module; a tunnel interval control solution with high integration level, accurate vehicle detection, intelligent dimming decision, flexible wireless communication and high-reliability data management is jointly realized.

The invention relates to an FFT-based unsupervised domain adaptive hyperspectral image classification method and system. The method comprises the steps of obtaining a remote sensing hyperspectral image, performing preprocessing, cross-domain alignment operation and edge filling operation, and performing alignment operation by using a local neighborhood; fourier transform is carried out on the source domain image and the target domain image; phase information of the source domain image is reserved, amplitude information is replaced with amplitude information of the target domain image, and the injection intensity of the amplitude of the target domain image is controlled; reconstructing the source domain image fused with the target domain amplitude information through inverse Fourier transform to obtain a data enhanced image; a ResNet model is used to extract joint features about a local space and a spectrum; performing feature extraction by adopting a channel attention mechanism and a space attention mechanism based on Fourier transform to obtain adaptive re-calibration features; unsupervised domain adaptive classification is realized by adopting multiple task heads and conditional adversarial training; and performing classification by using the trained classification model. According to the invention, the accuracy of image classification is improved.

An information processing method and an apparatus are disclosed, which are applied to a wireless local area network system supporting 802.11 series protocols such as a next-generation Wi-Fi protocol of IEEE 802.11ax like 802.11be, Wi-Fi 7, or EHT, a next generation of 802.11be like Wi-Fi 8 or UHR, or Wi-Fi AI, and may be further applied to an ultra-wideband-based wireless personal area network system and a sensing system. A controller sends control information, and a controlee receives the control information. The control information includes a control information element, the control information element includes an empty slot information field, and the empty slot information field indicates an empty slot in a block corresponding to the control information. The controlee determines information about the empty slot based on the empty slot information field. This improves and optimizes a UWB in-band discovery and association mechanism.

The invention provides a cooperative control method and system for an immersive display scene, and relates to the technical field of intelligent control, and the method comprises the steps: building a device identifier, a control parameter and a control relation, and generating a control strategy for the cooperative operation of multiple devices based on scene control configuration data and collected operation state information; issuing a control instruction to the corresponding equipment according to the time sequence scheduling result; acquiring equipment execution feedback information; and generating an updated multi-device cooperative operation control strategy, recording the operation state information, the control instruction, the execution feedback information and the dynamic adjustment result, and optimizing the multi-device cooperative operation control strategy. Through the immersive display cooperative control method and system provided by the invention, the problems of lack of unified cooperation, inconsistent response and insufficient dynamic adjustment of multiple devices can be solved, real-time synchronization and cooperation of the multiple devices are realized, and the cooperative precision, response speed and audience experience continuity of a display scene are remarkably improved.

A controller is a manipulation device to which a user inputs a manipulation of an application (e.g., game) executed by an information processing device. The controller includes manipulation buttons, function buttons, a storage unit, and a processor. The storage unit of the controller stores setting information associated with a manipulation of the controller. The processor of the controller switches setting information to be applied to the manipulation of the controller, in response to input of a manipulation of the manipulation button together with a manipulation of the function button.

The invention provides an optical module test system and method, electronic equipment and a readable storage medium, and is suitable for the technical field of optical communication. The test system comprises at least two test boards, wherein each test board is used for installing a to-be-tested optical module; the testing unit is used for testing the performance of each to-be-tested optical module; the optical switch unit is connected with each to-be-tested optical module and the test unit and is used for controlling the to-be-tested optical module to be communicated with the light source and the test unit to form a test channel; and the control unit is connected with the optical switch unit and the test unit, and is used for controlling the optical switch unit to communicate each to-be-tested optical module with the light source and the test unit to form a test channel based on the acquired test scheme information, so as to test the performance of each to-be-tested optical module and acquire test information corresponding to each to-be-tested optical module. According to the embodiment of the invention, at least two optical modules can be automatically tested, the test efficiency is improved, the labor cost is reduced, and the accuracy of a test result can be ensured.

The invention relates to the technical field of quantum information, and discloses a method for controllably and remotely executing any target quantum operation of a single quantum bit, and the method comprises the steps: employing a one-dimensional five-quantum-bit cluster state as an entanglement resource, and forming a quantum information transmission channel through the reasonable configuration of quantum bits; quantum bit measurement and classical information transmission are executed by an information control party, and generation of a channel access authorization key and secure transmission of a target quantum state are realized; the operation executor executes a series of quantum operations and Bell state measurement according to the received classic information and transmits a measurement result to the receiving agent; and the receiving agent executes a dynamic conversion operation according to the received classical information and the channel access authorization key, and finally controlled remote execution of the target quantum operation is realized. According to the method and the device, the confidential quantum information is quickly and safely transmitted under the condition that the operation executor does not completely trust the receiving member.