35 results about "Sensor actuator" patented technology

The invention discloses an intelligent automobile cooperative cruise safety control method under Dos attacks and physical faults, and relates to automobile intelligent safety and automatic driving. A hierarchical control framework is adopted and comprises an observer layer and a tracking layer. The method comprises the following steps: establishing a vehicle longitudinal dynamics model and a DoS attack model for DoS attack in a V2X communication network and the problems of sensor and actuator faults and parameter isomerism of a vehicle; a completely distributed self-adaptive preset time observer based on event triggering is designed for each following vehicle in the observer layer, and rapid and accurate estimation of the state of the pilot vehicle is achieved; the method comprises the following steps: constructing an augmentation system at a tracking layer, designing a distributed intermediate observer, carrying out online estimation and compensation on faults of a sensor and an actuator, designing a distributed active fault-tolerant controller based on a fault estimation value and a pilot vehicle state estimation value, and calculating a wheel driving torque to realize safe cruise control. Multiple threats of coexistence of network attacks and physical faults are effectively handled, and the stability and safety of the cooperative cruise system are ensured.

The invention discloses a fabricated building self-optimization energy-saving system and method based on DRL and BIM, and relates to the technical field of building energy management and intelligent control. The system comprises a BIM data acquisition module used for storing and providing BIM data of a prefabricated building; the energy simulation module is used for constructing a digital twin model based on BIM data, providing a simulation environment for the DRL control module in an offline training stage, and assisting verification and retraining in an online stage; the environment monitoring and execution module is used for acquiring operation parameters and energy consumption data in real time through a sensor, an actuator and an interface butted with a transportation system and executing a control instruction; and the DRL control module obtains an optimization control strategy through simulation interaction learning, generates an instruction according to real-time data in an online stage, and issues and executes the instruction. Energy consumption and carbon emission in the whole process of the fabricated building can be optimized, the energy utilization efficiency and comfort are improved, and the self-adaptability and long-term stability of the system are enhanced.

The invention relates to the technical field of automatic driving simulation, in particular to a performance evaluation method, system and device of an automatic driving simulation platform and a medium, and the method comprises the steps: constructing a simulation environment and a simulation vehicle equipped with a sensor, an actuator and a vehicle-mounted calculation unit simulation model; establishing a multi-dimensional platform evaluation system covering security, efficiency, response time and data processing capability, defining a specific sub-index, an evaluation method and a target data item needing to be collected for each dimension, and setting a comprehensive evaluation rule; running a closed-loop simulation test in the simulation platform, and synchronously collecting all target data; calculating evaluation results of the sub-indexes one by one based on the collected data; and judging whether the overall performance of the platform reaches the standard according to comprehensive evaluation rules. According to the invention, systematization, standardization and quantitative evaluation of the performance of the automatic driving simulation platform are realized, the reliability and comparability of a test result are improved, and an effective basis is provided for optimization of the simulation platform.

The invention discloses a dexterous hand grabbing stability control system and method based on force control compliant interaction.The system comprises a dexterous hand, a mechanical arm, a force sensing module, a touch sensor, an actuator and an upper computer actuator, the dexterous hand is installed at the tail end of the mechanical arm through a mechanical interface, and the dexterous hand and the mechanical arm form a cooperative control closed loop through real-time communication; according to the control mode of the dexterous hand grabbing stability control system, the upper layer completes object positioning and global motion planning through a mechanical arm, the lower layer completes a layered collaborative architecture of contact perception, compliant control and task action execution through a dexterous hand, and compliant grabbing and stable control over objects are achieved. The mechanical characteristics in the grabbing process can be adjusted in a self-adaptive mode, it is ensured that objects with different hardness are stably and smoothly grabbed, and the problem that the objects slide or are damaged is effectively solved.

The invention relates to a method for controlling a sensor-effector system (10), in which a trajectory (12) of a target (14) to be attacked is predicted. Furthermore, at least one section of a first type of the predicted trajectory (12) is determined, which section is located within the range of an effector (16) of the sensor-effector system (10). A hit probability of the effector (16) is determined for different points along the at least one section of the first type. In addition, at least one section of a second type of the predicted trajectory (12) is determined (112), which section overlaps with a field of view of a sensor (18) of the sensor-effector system (10). With regard to the sensor (18), a quality of visibility at different points of the at least one section of the second type is then determined. Along a region of the predicted trajectory (12) in which the section of the first type and the at least one section of the second type of the predicted trajectory (12) overlap, a combat point (20) is then selected on the basis of the determined hit probability and on the basis of the determined quality of visibility.

1. Name of the product in this design: Irregularly shaped composite magnetic core. 2. Applications of this design: It is mainly used in equipment such as transformers, reactors, and instrument transformers to realize the conversion and monitoring of voltage and current; or in various sensors, actuators, and controllers, such as motor controllers and servo controllers, to realize the conversion, amplification, and control of signals. 3. The key design feature of this product is its shape. 4. Images or photos that best illustrate the design key points: usage status reference diagrams. 5. The rear view of component 1 is the same as the front view of component 1, so the rear view of component 1 is omitted; the right view of component 1 is the same as the left view of component 1, so the right view of component 1 is omitted; the rear view of component 2 is the same as the front view of component 2, so the rear view of component 2 is omitted; the right view of component 2 is the same as the left view of component 2, so the right view of component 2 is omitted; the bottom view of component 2 is the same as the top view of component 2, so the bottom view of component 2 is omitted.

The invention belongs to the technical field of micro electro mechanical systems and micro sensors / actuators, and discloses an electrostatic self-excitation cantilever beam device which comprises a potential floating insulation base, a conductive cantilever beam fixed on the potential floating insulation base, parallel electrodes located on the two sides of a free end and an electric brush adjacent to the free end. And self-excited vibration of the conductive cantilever beam under the action of electrostatic force and elastic restoring force is realized. The electrostatic self-excitation micro-beam device based on the new oscillation starting principle is provided aiming at the oscillation starting principle defect of an existing device, and compared with an original oscillation starting principle and device, the electrostatic self-excitation micro-beam device is lower in oscillation starting voltage, avoids interference of micro-beam suspension potential in the oscillation starting stage, and is high in vibration starting efficiency. And during working, the output of mechanical work or electronic signals is more stable, and the practical value is better.

The invention discloses a device and a method which can be operated on a smart device (such as a smart phone or a smart hub). The apparatus and method can debug and / or manage virtual sensors / actuators by one or more of acquiring requirements regarding the virtual sensors / actuators, determining, based on existing sensors / actuators, the virtual sensors or actuators (e.g., sensors, actuators, etc. By coordinating sensors / actuators in one or more networks and / or by temporary sensors / actuators and opportunistic events), parameters of virtual sensor / actuator (s) are determined and virtual sensor / actuator parameter (s) are exposed given measurements by existing sensors / actuators.

The invention discloses an automobile LiDAR device cleaning system which is characterized in that a LiDAR assembly is provided with a mirror surface used for detecting a window, an integrated nozzle is fixed above the LiDAR assembly, the integrated nozzle sprays a cleaning medium to the window mirror surface, the integrated nozzle is connected with a pump through a pipeline, the pipeline is provided with a heating module, and the heating module is connected with the pump. The LiDAR assembly outputs a signal to the ADAS domain controller through the CAN, the ADAS domain controller performs information interaction with the cleaning system controller through the CAN, the cleaning system controller is connected with the pump and the heating module and outputs a driving signal to the pump and the heating module, and the cleaning system controller is connected with an environment temperature sensor. The cleaning system is high in integration degree, all the control units are integrated in the cleaning system controller and connected with other sensors, actuators and ECUs through external interfaces and wire harnesses, and the overall complexity of the system is low; the whole cleaning process is automatically completed by the system, manual operation of a driver is not needed, the driver take-over frequency required by the system in the auxiliary driving starting process is greatly reduced, and the driving experience is improved.

The embodiment of the invention provides a thermal runaway early warning control system, method and device based on SOA service and a vehicle, and belongs to the technical field of vehicle control. The system comprises a power domain controller which comprises a battery service module and a power application module which are respectively arranged on a service layer and an application layer; the vehicle body domain controller comprises a vehicle body service module and a vehicle body application module which are arranged on a service layer and an application layer respectively; a battery and a vehicle body device of the target vehicle are arranged on the sensor actuator layer; the battery service module monitors the operation condition of a battery, generates a thermal runaway early warning service when receiving an early warning signal of the battery, and feeds back the early warning signal to the power application module and the vehicle body application module; the power application module controls the battery to be powered off through the battery service module; the vehicle body application module controls starting or closing of vehicle body devices through the vehicle body service module. The embodiment of the invention aims to improve the flexibility and expansibility of coordination work among the controllers and the stability of a vehicle thermal runaway early warning function.

The invention discloses a method and system for an Internet of Things management platform for big data, and the method comprises the following steps: collecting original data streams from a plurality of Internet of Things devices in real time through a distributed data collection module, the Internet of Things devices comprising a sensor, an actuator, a camera and a GPS device, collected data types cover numerical data, image data, video streams and position information, the data collection frequency is configurable, the range is from the millisecond level to the hour level, and the data collection frequency is dynamically adjusted according to an application scene. In the collection process, a multi-protocol adapter is used for processing heterogeneous equipment communication, data integrity and low-delay transmission are ensured, meanwhile, a collection module supports load balancing, and single-point faults are avoided, an original data quality evaluation formula is introduced, three core dimensions of data integrity, timeliness and accuracy are quantized and fused, and the data quality evaluation accuracy is improved. And an adjustable weight coefficient is given, so that a comprehensive quality score Q is generated.

The invention discloses a privacy protection method and system based on Internet of Things data encryption transmission, and the method comprises the following steps: a data collection step: collecting original data from at least one Internet of Things device, the Internet of Things device including but not limited to a sensor, an actuator, a smart home device or an industrial Internet of Things node, the original data comprises one or more of environment data, user behavior data and equipment state data, the acquisition frequency is dynamically adjusted according to equipment types and application scenes, the range is one time per second to one time per hour, and a tamper-proof mechanism is adopted in the acquisition process to ensure the data integrity; the core advantage of the method is that refined and quantitative evaluation of the data privacy level is realized by introducing an innovative privacy score calculation formula.

The invention relates to a method (100a, 100b) for controlling a sensor-effector system (10) in which a trajectory (12) of a target (14) to be engaged is predicted (106). Furthermore, at least one segment of the first type of the predicted trajectory (12) is determined (108), which is within the range of an effector (16) of the sensor-effector system (10). A hit probability of the effector (16) is determined for various points along the at least one segment of the first type (110). Moreover, at least one segment of the second type of the predicted trajectory (12) is determined (112), which overlaps with a field of view of a sensor (18) of the sensor-effector system (10). With regard to the sensor (18), the visibility quality for various points of the at least one segment of the second type is then determined (114).Along a section of the predicted trajectory (12) in which the first-type section and at least one second-type section of the predicted trajectory (12) overlap, a control point (20) is then selected (116) based on the determined (110) probability of success and on the basis of the determined (114) quality of visibility.

The invention discloses a lightweight industrial control intrusion detection method based on deep reinforcement learning, relates to the technical field of industrial control system network security, and can solve the problems of long detection time consumption, incapability of continuous learning and difficulty in deployment in resource-constrained equipment in the prior art. The method comprises the following steps: collecting network flow data of a monitoring layer and sensor actuator data of a field equipment layer, and carrying out feature selection and data preprocessing; modeling an intrusion detection problem into a Markov decision process, and defining a state space containing network flow characteristics and physical process perception data and an action space of an attack classification label; training an intelligent agent by adopting a double-depth Q network algorithm, and decoupling and optimizing a classification strategy through a main network and a target network; and compressing the teacher model into a lightweight student model by adopting a knowledge distillation technology to realize edge side deployment. According to the method, real-time detection and continuous learning of industrial control system attacks are realized, and the calculation overhead is remarkably reduced.

The application discloses an industrial internet equipment data collection and dynamic control system, comprising an equipment data access unit, an edge collection control unit and a control strategy processing unit; the equipment data access unit is connected with sensors, actuators or controllers of field equipment and acquires equipment point data. The industrial internet equipment data collection and dynamic control system combines specific control actions with associated collection point groups, three-stage sampling, execution deviation attribution and subsequent collection strategies and control strategy correction, so that the data collection of the industrial internet equipment no longer depends on fixed point lists or ordinary periodic sampling. Therefore, the system can obtain data related to control conditions, execution feedback, process states and control results during the execution of control actions, and distinguish the sources of execution deviation based on the data, thereby providing adjustment basis for the collection configuration and control configuration of subsequent similar control actions.

The utility model relates to the technical field of Internet of Things, in particular to a novel Internet of Things structure for vehicle monitoring, which comprises a hardware structure and a software structure, and is characterized in that the hardware structure comprises a DDR (Double Data Rate), a GPS (Global Positioning System) module, a USB (Universal Serial Bus) interface, a system on chip, an Internet interface, a 4G module, a power supply, a sensor and a digital camera; the software structure comprises an RSP, a linux kernel, a linux driver, a standard library, a third-party library, a data acquisition agent, a transmission management module and a video acquisition agent, and the system can access various sensors, actuators and other high-speed equipment in a vehicle monitoring environment. The specially designed data acquisition module undertakes a data acquisition task, so that the main module can concentrate on complex tasks, such as network communication and local storage.

The invention discloses an automatic mapping and protocol conversion system and method from a hardware signal to a service, and relates to the technical field of hardware and software collaborative design, the system comprises a signal-to-service mapping module, a gateway layer protocol conversion module and a hardware abstraction module; a signal-to-service mapping module imports a DBC file to analyze CAN signal attributes, automatically generates SOME / IP interface definition, maps a periodic signal into an Event interface, maps a trigger signal into a Method interface, and optimizes and merges associated signals; the gateway layer protocol conversion module is deployed on a vehicle-mounted gateway to realize bidirectional conversion between a CAN signal and an Ethernet message; the hardware abstraction module hides hardware details, provides a standardized signal interface and supports plug and play of a sensor / actuator. According to the method, the problems of low manual mapping efficiency, poor compatibility, insufficient real-time performance and the like in the vehicle-mounted heterogeneous network are solved, the software and hardware collaborative development efficiency and the system expansibility are improved, and the method is suitable for scenes such as an intelligent automobile multi-domain controller and a central gateway.

The application discloses a kind of coaxial shafting engine intelligent layered distributed control method and system, to solve the problem of slow control response, poor fuel adaptability and safety linkage lag caused by high-speed shafting strong coupling.The method comprises: performing system self-checking calibration, driving shafting to establish self-sustaining operation, loading to steady state and performing speed fuel double closed loop, double flow path thermal management, multi-fuel self-adaptation and efficiency optimization, and triggering hardware level protection when abnormal.The system comprises: multi-core lockstep MCU decision layer, FPGA fast execution layer and sensor executor network;MCU is responsible for logical decision and optimization, FPGA is responsible for hard real-time control and physical level emergency stop.The application separates decision and execution logic through layered architecture, can realize hard real-time stable control under high-speed working condition and multi-fuel variable working condition disturbance-free switching, while ensuring material safety, significantly improves system cycle efficiency and operation and maintenance intelligent level.

The invention belongs to the technical field of interface conversion data transmission, and particularly relates to a vehicle-mounted FlexRay bus cross-domain data transmission method combined with a DDS (Direct Digital Synthesizer). The implementation of the vehicle-mounted FlexRay bus cross-domain data transmission method relates to a sensor / actuator module, a FlexRay bus data processing module and a FlexRay and DDS (Direct Digital Synthesizer) conversion module. The sensor / actuator module is responsible for collecting vehicle body data, the FlexRay bus data processing module is responsible for communicating with a sensor / actuator, and then completing publishing-subscribing distributed data distribution in FlexRay bus data transmission through the FlexRay and DDS conversion module, so that cross-domain transmission communication of FlexRay bus data is realized; according to the method, the problem of cross-domain data transmission of the existing FlexRay bus is solved through an efficient data distribution mechanism of the DDS, and the modern vehicle data management efficiency is improved.

1. Name of the design product: combined magnetic core (ATX). 2. Use of the design product: mainly used in transformer, reactor, mutual inductor and other equipment to realize voltage and current conversion and monitoring; or used in various sensors, actuators and controllers, such as motor controller, servo controller, to realize signal conversion, amplification and control. 3. Design points of the design product: in shape. 4. Picture or photo that best indicates the design points: front view. 5. The rear view is symmetrical to the front view, and the rear view is omitted; the right view is symmetrical to the left view, and the right view is omitted.

A slip form paving machine includes a machine frame, a plurality of ground engaging wheels or tracks, and front and rear height adjustable lifting columns adjustable to adjust a longitudinal inclination of the machine frame in a paving direction. A slip form mold is supported from the machine frame. The machine further includes a front stringline sensor, a front sensor actuator arranged to adjust a vertical position of the front stringline sensor relative to the machine frame, a rear stringline sensor, and a rear sensor actuator arranged to adjust a vertical position of the rear stringline sensor relative to the machine frame. A controller is configured to send command signals to the front and rear sensor actuators to cause an adjustment in the longitudinal inclination of the machine frame.

The present disclosure relates to a multi-image stabilization apparatus and a camera device and a multi-image stabilization method. The camera device includes a camera body portion including a prism unit, a lens assembly, and an image sensor unit; a gyro sensor detecting a hand shake with respect to the camera body portion and outputting gyro sensor information; a driver circuit generating at least one of a prism driving signal for image stabilization of the prism unit and a sensor driving signal for image stabilization of the image sensor unit based on the gyro sensor information; a prism actuator provided in the camera body portion for driving the prism unit and performing image stabilization on the prism unit in response to the prism driving signal; and a sensor actuator provided in the camera body portion for driving the image sensor unit and performing image stabilization on the image sensor unit in response to the sensor driving signal.

The invention relates to a cross-system cooperative communication system and method based on a multi-serial-port server, and relates to the technical field of distributed control system communication, the device comprises a multi-serial-port server main body, a serial port adaptation module, a protocol conversion module, a data scheduling module, a DCS interface adaptation module, a redundancy backup module and a fault diagnosis module; according to the method, cross-system cooperative communication is realized through serial port equipment access adaptation, multi-protocol unified conversion, DCS priority scheduling, dual-computer redundancy backup and fault self-healing. The system supports expansion of multiple types of serial ports such as RS232 / 485 / 422 and the like, is compatible with industrial protocols such as Modbus, Profibus, OPC UA and the like, can be seamlessly connected with peripherals such as a DCS main controller, a PLC, a sensor, an actuator and the like and DCS subsystems of different manufacturers, the data transmission delay is smaller than or equal to 10 ms, the fault switching time is smaller than or equal to 500 ms, the reliability, the real-time performance and the expansibility of cross-platform collaboration of the DCS system are remarkably improved, and the system is suitable for industrial control scenes such as chemical engineering, electric power, metallurgy and the like.

The invention discloses a methanol hydrogen production system for quick start and a control method thereof, and belongs to the field of automatic control systems. According to the system, the core requirement of reducing medium and large hydrogen production power and the cold start time of a noble metal catalyst system is met, and a hardware basis is provided for subsequent accurate heat transfer and dynamic pipeline switching through a clear assembly connection relation and sensor / actuator configuration; compared with the design of a single assembly and a fixed pipeline of a traditional system, the system can achieve cooperative work of multiple assemblies, the problems that the traditional system is slow in heat transfer, insufficient in heat utilization and too long in starting time are solved, and a structural support is provided for shortening the cold starting time.

The invention relates to a method of a large-scale automatic group control system based on an OPCUA information model. The method comprises the following steps: step 101, defining a controller information model containing digital models of an industrial sensor, an actuator and a unit; step 102, integrating the controller information model with an OPCUA server to realize mapping of internal attributes, variables and methods of the model and the interior of the controller; step 103, realizing data transmission and production data synchronization between the controllers through an OPCUA protocol; 104, in the OPCUA server, when the object method is called externally, an instruction string is generated; and step 105, feeding back an execution result to the OPCUA client according to an action execution condition in the called method, and completing a closed loop of a platform control process. The method has the advantages that the interoperability between different devices and systems is enhanced through the controller information model created by combining AutomationML and OPCUA standards, and the limitation of closure and specificity is broken through.

The invention discloses an industrial internet system based on cloud edge collaboration, which belongs to the technical field of industrial internet, and comprises a physical layer, an edge layer and a cloud layer, and the physical layer comprises a sensor, an actuator, an industrial controller and an industrial gateway. According to the invention, by deploying the edge controller and the edge computing gateway at the edge layer, the system can finish data processing and control decisions locally close to a data source, and the edge layer can independently execute preset or dynamically updated control logic for a closed-loop control task needing millisecond-level response, so that the reliability of the closed-loop control task is improved. According to the method, network delay caused when data are uploaded to the cloud and then returned is avoided, the real-time performance and reliability of control are improved, the hard requirements of industrial production for low time delay and high stability are met, and meanwhile when cloud network connection is interrupted, an edge layer can still depend on a control strategy stored locally, an AI model and historical data in an edge storage device, and the reliability of the edge layer is improved. And the edge controller maintains the basic operation function of the production line to realize'edge autonomy '.

The utility model relates to the technical field of intelligent building, specifically disclose 12 way controller of wireless ad hoc network, including ad hoc network wireless module, 485 control unit, button control unit, dry contact control unit, relay control unit, LED pilot lamp unit and power unit and IO extension unit, relay control unit can realize the electrical isolation of control circuit and load circuit, avoid mutual interference, improve the security and reliability of circuit, can be combined flexibly according to actual demand simultaneously through multiple relay independent control, realize the individual or synergic control of different load, simultaneously, through multiple interfaces in 485 control unit, can build distributed system, can connect multiple sensors, actuator and other equipment, realize efficient networking, thereby realize centralized management, improve operation efficiency.

The application discloses a kind of based on intermediate observer's integrated energy system distributed fault-tolerant control method, it is related to integrated energy system collaborative control and safe operation technical field.The application establishes integrated energy system unified dynamics model containing concurrent fault and external disturbance, and then constructs singular augmented system and introduces intermediate variable design distributed intermediate observer, avoids the strict observer matching condition required by traditional observer, realizes the joint accurate estimation of system state and sensor, concurrent fault of actuator;Then, design the compound fault-tolerant control law containing feedforward compensation term and active fault cancellation term;Subsequently, combined with unilateral Lipschitz condition and singular value decomposition technology, the robust stability condition of closed-loop system is converted into linear matrix inequality condition for solving, and the observer and controller gain are obtained;Finally, the gain obtained is configured in each energy subnetwork node, and online active fault-tolerant control of integrated energy system is realized.

The invention discloses an equipment linkage strategy generation method and system based on a space-time event, and relates to the technical field of the Internet of Things, and the method comprises a data collection module which is responsible for collecting original data from various sensors and actuators in the Internet of Things; the spatio-temporal data processing module is used for carrying out preprocessing and feature extraction on the collected massive spatio-temporal data; the event detection and classification module monitors whether a specific event occurs or not in real time based on the processed spatio-temporal data and classifies the detected event; the strategy making module is used for making a preliminary equipment linkage strategy according to the detected event type and related parameters in combination with business rules and preferences preset by a user; according to the invention, full-process closed-loop management from data acquisition to strategy execution is realized, dynamic loading sensor driving is supported, and adaptive signal conditioning is realized; feature extraction and mode mining are carried out through a machine learning algorithm, equipment fault laws and association relationships can be actively found, and manual intervention requirements are reduced.

Street light for special lighting, characterized in that the light intended for operation on switched street lighting networks has a battery buffer and an interface to its own actuator or sensor-actuator system.