9 results about "Feedback form" patented technology

The invention discloses an intelligent timed task configuration and multi-mode feedback system based on natural language interaction, and relates to the field of industrial automation control, enterprise-level task scheduling management and instant messaging. The system comprises a natural language interaction module, a user natural language instruction is converted into structured semantic information through a BERT + BiLSTM + CRF mixed architecture, and lightweight processing is achieved in combination with TinyBERT distillation; the dynamic task arrangement module completes task creation, modification and the like based on structured information, completes missing parameters through historical task mode matching, and supports multi-session real-time synchronization; the rich media report generation module generates a multi-mode report containing charts, tables and the like, and the RAG technology and large model interpretation are combined; and the multi-channel pushing adaptation module adapts multiple platforms by adopting a strategy and factory mode. According to the system, the task configuration efficiency and flexibility are improved, the feedback form is enriched, the information pushing accuracy is guaranteed, and the exception handling capacity is enhanced.

The invention discloses a corrosion-resistant self-compensation sealing stop valve, and relates to the technical field of valves, the corrosion-resistant self-compensation sealing stop valve comprises a valve body, an elastic sealing seat, a valve core and a self-compensation sealing control assembly, and the control assembly comprises a parameter acquisition module, a signal preprocessing module, a main control decision module, an electric control execution module and a feedback verification module. In the working process, multi-dimensional signals such as sealing abrasion and medium characteristics are collected firstly, after anti-interference and standardization processing is conducted, the main control decision module calculates the sealing compensation amount through an algorithm, correction is conducted in combination with the corrosion working condition, then a driving instruction is generated through abnormal fault-tolerant processing, and the electric control execution module adjusts the sealing gap and pressure through the electric push rod and the micro air pump. And the feedback verification module performs real-time feedback to form a closed loop. The valve achieves sealing self-adaptive compensation, is high in corrosion resistance and interference resistance, accurate and stable in sealing, capable of prolonging the service life of core components, adaptive to complex working conditions and high in practicability.

To provide an actuator that can increase the degree of freedom in force feedback expression without significantly increasing the size of the device. [Solution] The actuator's operating section comprises an upper shaft member and a lower shaft member, the base ends of which are attached to the upper and lower sides of the movable body, respectively, with their intermediate portions inserted into the upper and lower openings of the housing of the fixed body, and their respective tip portions protruding upward and downward from the housing; and an upper contact member and a lower contact member, respectively, provided at the tip ends of the upper shaft member and the lower shaft member so that an operator can contact them.

The invention discloses a self-adaptive strategy optimization method and system for a robot with a body based on interactive feedback, and relates to the technical field of robots. The method comprises the steps that operation data of the robot with the body in the task execution process are collected; analyzing the environment information, the user voice, the gesture and the binary evaluation signal to generate standardized feedback representation; calculating a reward function based on the environmental information and the feedback representation and generating a standardized reward value; state-feedback joint representation is formed through high-order mapping, a candidate strategy set is generated, and strategy parameters are screened and updated under the constraint of strategy consistency and execution stability; and generating an action sequence by using the updated parameters to execute operation, and forming a consistency index and a closed-loop data stream by comparing a feedback result with the standardized feedback representation, so as to realize strategy self-adaptive optimization. Through high-order fusion and closed-loop adaptive optimization of multi-modal perception and user interaction feedback, intelligent generation of a strategy of the robot with the body is realized, and execution consistency and task stability are improved.

The invention discloses a self-feedback surface throttling double-cone fluid hydrostatic bearing, and relates to the field of precision machinery. The problems that in the prior art, a hydrostatic bearing feedback throttling structure is complex and is only suitable for liquid media are solved. The hydrostatic bearing is of a mirror symmetry structure, and the stator I and the stator II are fixed to the two sides of the stator III in a mirror symmetry mode to form a double-cone-shaped stator combination. The rotor I and the rotor II are fixed on two sides of the feedback ring in mirror symmetry; the feedback ring is positioned in the stator III, and a gap between the feedback ring and the stator III is an isobaric area; an axial adjacent gap between the stator I and the feedback ring is an axial feedback area I; a radial adjacent gap between the stator I and the feedback ring is a radial feedback region I; a bearing area I and a compensation area I are arranged between the rotor I and the stator I; the stator III is provided with a fluid inlet, and the fluid inlet, the isobaric area, the radial feedback area I, the axial feedback area I, the bearing area I and the compensation area I are communicated to form a medium channel. The method is suitable for various media and is suitable for more fields.

The application discloses an embodiment-based robot adaptive strategy optimization method and system based on interactive feedback, and relates to the technical field of robots. The method comprises the following steps: collecting running data of an embodiment-based robot during task execution; analyzing environment information, user voice, gestures and binary evaluation signals to generate standardized feedback representation; calculating a reward function based on the environment information and the feedback representation and generating a standardized reward value; forming a state-feedback joint representation through high-order mapping, generating a candidate strategy set and screening and updating strategy parameters under the constraints of strategy consistency and execution stability; generating an action sequence from the updated parameters to perform an operation, and forming a consistency index and a closed-loop data flow by comparing the feedback result with the standardized feedback representation, so as to realize adaptive optimization of the strategy. Through high-order fusion of multi-modal perception and user interactive feedback and closed-loop adaptive optimization, the embodiment-based robot strategy is intelligently generated, the execution consistency is improved, and the task stability is improved.

According to one embodiment, a method, computer system, and computer program product for recommending feedback for a feedback form is provided. The embodiment may include collecting data about a user's experience of an application. The embodiment may also include analyzing the collected data to determine one or more suggested responses to one or more questions in a feedback form. The embodiment may further include preparing the feedback form for the user based on the suggested responses. The embodiment may also include presenting the prepared feedback form to the user.

The application discloses an automatic spring steel wire forming device with a guide structure and a use method thereof, relates to the technical field of spring forming, and comprises a wire feeding mechanism, a pre-straightening and online detection module, a positive flexible guide module, a force feedback forming module and a central control system; the pre-straightening and online detection module, the positive flexible guide module and the force feedback forming module are sequentially connected in series along a feeding path of the steel wire and are electrically connected with the central control system; the positive flexible guide module is internally provided with a precision actuator controlled by the central control system; the force feedback forming module comprises a forming component and a force sensor connected with the forming component, and the force sensor is used for feeding real-time forming force in a forming process to the central control system. Through closed-loop control of online sensing, active guiding and force feedback, intelligent adaptation to parameter changes of the steel wire is realized, and the precision, consistency, reliability and service life of the spring forming device are remarkably improved.

The invention relates to a maximum reliability control method for a discrete linear non-Gaussian stochastic system, which belongs to the field of stochastic distribution control and comprises the following steps of: firstly, establishing a discrete linear non-Gaussian stochastic system model and clarifying a maximum reliability control problem with a state feedback form; secondly, deriving a one-step probability density function prediction equation of the closed-loop control system; then, establishing a one-step reliability prediction model of the closed-loop control system; thirdly, constructing a maximum reliability control optimization problem through Taylor approximation and a recursive algorithm; and finally, solving an optimization problem to obtain a vectorized state feedback gain increment, and obtaining a state feedback gain required to be designed through matrix reconstruction. According to the method, the one-step reliability of the discrete linear non-Gaussian random system is maximized, and a new index design thought is provided for improving the control performance of a general non-Gaussian random system through a simple principle and a simple calculation process.