15results about How to "Accurate control instructions" patented technology

The invention discloses an intelligent controller based on artificial intelligence and a control method thereof, and belongs to the technical field of artificial intelligence. The intelligent controller comprises a data acquisition module, a data preprocessing module, an AI processing module, a decision execution module, a feedback adjustment module and a fault prediction and diagnosis module; according to the invention, the feedback adjustment module continuously monitors the deviation between the actual operation state of the system and the set target through a closed-loop control mechanism, and adjusts the model parameters of the AI processing module, so that the controller can adapt to the change of the system characteristics, maintain good control performance, and improve the reliability of the system. The fault prediction and diagnosis module can recognize an abnormal mode in advance and trigger early warning, the fault handling capacity of the system is enhanced, the AI processing module conducts feature extraction, mode recognition and trend prediction on complex data through an advanced machine learning algorithm, more complex control tasks can be processed, higher-level intelligent decision making is achieved, and the system reliability is improved. And the stability and the reliability of the whole system are improved.

The invention relates to the technical field of medical wearable equipment monitoring control, in particular to a wearable intelligent physical sign monitoring control method. The method comprises the following steps: continuously monitoring a sitting posture pressure value of the intelligent seat; when the sitting posture pressure value is larger than a first threshold value, it is judged that the sitting posture is in a pressing state, and initial site fitting information is obtained; and obtaining a human body sitting posture form and carrying out adaptive posture adjustment on the intelligent seat according to the human body sitting posture form, so that the intelligent seat is matched with the human body sitting posture form, the initial sitting standby state reaches the optimal sitting posture form of the intelligent seat, and optimal sitting posture memory data is stored. Through a data processing technology, a real-time monitoring technology and an automatic control technology, human body sitting posture shape matching mapping is carried out on vital sign data detected by wearable intelligent sign equipment and site fitting information monitored by the intelligent seat, and self-adaptive posture adjustment is carried out on the intelligent seat; therefore, the automatic adjustment degree of the intelligent seat is improved.

The present invention relates to the field of medical wearable device monitoring and control technology, and in particular to a wearable intelligent vital sign monitoring and control method. The method comprises the following steps: continuously monitoring the sitting pressure value of the intelligent seat; when the sitting pressure value is greater than a first threshold, determining it as a sitting pressure holding state and obtaining initial site fitting information; obtaining the human body sitting posture and adaptively adjusting the posture of the intelligent seat according to the human body sitting posture, so that the intelligent seat matches the human body sitting posture, reaches the optimal sitting posture of the intelligent seat from the initial ready-to-sit state and stores the optimal sitting posture memory data. The present invention realizes the matching mapping of the vital sign data detected by the wearable intelligent vital sign device with the site fitting information monitored by the intelligent seat to the human body sitting posture through data processing technology, real-time monitoring technology and automatic control technology, and realizes adaptive posture adjustment of the intelligent seat, thereby improving the degree of automatic adjustment of the intelligent seat.

The utility model provides a bubble removing device, a concentration measuring device and a semiconductor cleaning machine, and the bubble removing device comprises a main pipeline, a concentration meter sampling port, a first liquid sensor, a second liquid sensor and an electric valve. The main pipeline comprises a lower inlet and an upper outlet, and the lower inlet is used for sampling liquid to enter the main pipeline. The concentration meter sampling port is formed in the main pipeline, faces the lower side and is used for enabling sampling liquid to enter the concentration meter. The first liquid sensor is arranged on the main pipeline and is higher than the concentration meter sampling port. The second liquid sensor is arranged on the main pipeline and higher than the first liquid sensor. The electric valve is mounted at an upper outlet of the main pipeline. The bubble removing device can remove the bubbles entering the measuring pipeline of the concentration meter, so that the measurement of the concentration meter is not influenced by the bubbles, the measurement accuracy of the concentration meter is improved, the whole control system can obtain correct concentration signals, and the production quality and performance of wafers are ensured.

The invention discloses an in-well detection system based on a differential coil sensor, which comprises a DSP (Digital Signal Processor) module, and the DSP module is sequentially connected with an isolation module, a driving module, an MOSFET (Metal-Oxide-Semiconductor Field Effect Transistor) module and a coil system module; the coil system module is also connected with a pre-amplifier module; the pre-amplifier module is sequentially connected with a conditioning module, an anti-aliasing filtering module and a digital-to-analog conversion module; the digital-to-analog conversion module is connected with the DSP module; according to the system, the DSP is used as a core controller, sensor signals can be processed and analyzed, accurate control instructions are provided, and high-precision signal processing, flexible signal processing capacity, programmability, real-time processing capacity, a digital filtering function and convenient storage and transmission capacity are achieved. Meanwhile, the method can effectively counteract induced electromotive force, generated by a primary field, of a receiving coil in a traditional transient electromagnetic method, pure secondary field measurement is achieved, and the method has good application prospects in the field of through-casing well logging measurement.

The application provides a longitudinal feeding and double-transverse processing equipment and a full-automatic control method thereof, and belongs to the technical field of automatic processing. The equipment comprises a stock bin, a material track, a clamp, a feeding mechanism, a pneumatic cylinder, a right spindle box, a right spindle processing tool system, a left spindle processing tool system, a left spindle box and a control system. The real-time state of each component is recognized and signal feedback is performed through the setting of inductive sensors in each component. A control loop is formed by multiple groups of signals, action instructions are executed according to the automatic control process, and finally, the circulation control is completed. The application can realize the full-process automatic circulation processing of batch products.

An equipment predictive maintenance system based on multi-modal data fusion and edge collaborative decision comprises intelligent data acquisition cards and a unified management platform, and the intelligent data acquisition cards are connected with each other through internal LoRa networking units to form a dynamic Mesh network; the host intelligent data acquisition card is in communication connection with the cloud through the network unit; the unified management platform comprises a cloud server and a user terminal, provides an AI model management function, and supports remote issuing of a trained MSAD algorithm model file to a specified intelligent data acquisition card or equipment group in a differential upgrade package form; the intelligent data acquisition card performs real-time analysis on the acquired multi-modal sensing data based on a built-in MSAD algorithm model, and outputs a quantized abnormal confidence score; and when the abnormal confidence score is within a preset uncertainty interval of the system, triggering a collaborative verification mechanism. According to the invention, the accuracy and reliability of equipment fault early warning are obviously improved.

The present invention discloses an electric bed, including a bed board, an armrest, a controller, a medium sensor and a force sensor; the armrest is mounted on the side end of the bed board; the medium sensor and the force sensor are arranged on the armrest, and the medium sensor and the force sensor are electrically connected to the controller respectively. By arranging the medium sensor and the force sensor on the armrest simultaneously, after the medium sensor senses that the user's hand ring is holding the armrest, and synchronously detects the pulling force or pushing force applied to the armrest, the combination realizes the precise control of the electric bed, prevents the wrong intention recognition caused by the side pressure, downward pressure or torsional force of the user's body during the use of the electric bed, and prevents the wrong intention recognition caused by the contact and tearing of bedding, sheets, etc., so that the electric bed can more accurately identify the user's use action intention and give precise control instructions.

The invention relates to the technical field of management of the Internet of Things, in particular to a comprehensive operation and maintenance management platform based on the Internet of Things, which is provided with an Internet of Things acquisition module, a data monitoring module, an analysis module, an instruction control module and an instruction response module, the instruction characteristic determining module is used for determining instruction characteristics of the voice signals, the analysis module is used for calculating instruction characterization parameters for the voice signals in a time domain section based on the instruction characteristics so as to determine instruction clear categories of the voice signals, and the instruction control module is used for controlling the instruction characterization parameters. And the instruction response module is used for analyzing the voice signal based on the instruction clear category of the voice signal in the time domain section and determining a control instruction, and the instruction response module is used for controlling preset equipment in the classroom based on the determined control instruction. According to the invention, by determining the control instruction, the precision of equipment control is improved. And the accuracy and the management efficiency of voice analysis are improved.

This invention relates to the field of new energy control technology, specifically to a highly reliable photovoltaic-energy storage integrated controller based on domestically produced chips and a real-time operating system. The controller includes: a data acquisition module, a control module, an operation module, and a fault-tolerant module. The control module, equipped with a domestically produced chip and connected to the data acquisition module, receives operational data and generates control commands for the photovoltaic and energy storage devices based on this data. The fault-tolerant module, connected to the control module, monitors the operating status of the control module and, upon detecting an anomaly, triggers a task reconstruction mechanism to restore the scheduling and execution of control tasks. This invention uses the fault-tolerant module to monitor the operating status of the control module in real time and automatically triggers a task reconstruction mechanism upon detecting an anomaly. It reconstructs the scheduling queue based on the saved task status and task template library, achieving rapid recovery of control tasks and effectively improving the system's self-recovery and continuous operation capabilities under fault or abnormal conditions.

The invention relates to the technical field of industrial automation control. The invention relates to a visual algorithm and industrial control creation method, computer equipment and a medium, and the method comprises the steps: obtaining industrial equipment operation information, obtaining industrial equipment control information according to the industrial equipment operation information, and generating visual algorithm execution information according to the industrial equipment control information, the visual algorithm execution information is used for carrying out image processing and monitoring on the operation process of the industrial equipment, industrial equipment state feedback information is generated according to the visual algorithm execution instruction, and the industrial equipment state feedback information is used for feeding back and optimizing an industrial equipment control strategy in real time. The industrial equipment has the effect of improving the automation degree and the operation efficiency of the industrial equipment.

The application provides an AI-based charging process safety monitoring method and system, relating to the technical field of charging safety monitoring, comprising obtaining charging state data by collecting current, voltage and temperature data of a charging device, extracting an implicit feature vector using a neural network encoder and projecting it to a feature space to obtain a state representation point, forming a state evolution trajectory from the representation points at consecutive time points and performing shape matching with a reference trajectory to identify an abnormal deviation section, extracting current and temperature data sequences from the charging state data according to the abnormal deviation identifier, performing sliding window sampling to calculate a correlation peak value to determine a conduction time delay amount and a conduction coefficient, and then determining a prediction time window according to the conduction time delay amount and performing phase space reconstruction to calculate a compensation direction vector and a current compensation amount, and generating a control instruction and sending it to the charging device. The application realizes high-precision identification and active compensation control of charging process abnormalities, significantly improving charging safety and equipment operation stability.

The invention relates to the technical field of electric forklift battery pack management, and discloses an electric forklift battery pack management method based on a genetic algorithm, which comprises the following steps of: firstly, acquiring single voltage, current, temperature, SOC (State of Charge) and working load data of an electric forklift battery pack through a sensor network; judging whether the voltage or the temperature of the single body is out of limit or not, if the voltage or the temperature of the single body is out of limit, immediately cutting off a charging and discharging loop through a hardware circuit, otherwise, judging whether a trigger event is generated or not, if the trigger event occurs, optimizing parameters by utilizing a genetic algorithm, and if the trigger event does not occur, stopping the charging and discharging loop; according to the method, when a specific trigger event occurs, the management strategy is switched from fuzzy logic dynamic adjustment to genetic algorithm optimization, so that the high efficiency of daily operation is ensured, the re-optimization of global parameters is realized at key opportunities, and the management strategy is more intelligent and efficient.

The invention relates to the technical field of nuclear power station operation control, and discloses a water supply system data filling method, a water supply network control system, computer equipment, a computer readable storage medium and a computer program product in order to solve the problem of data loss of a nuclear power station operation control system. The method comprises the following steps: acquiring historical operation state data of the water supply system; according to the generative network, the discrimination network and the auxiliary prediction network, a generative adversarial network model filled with missing data is established, the input end of the generative network comprises attribute missing data and missing position vectors, and the output end of the generative network is filling data; training a generative adversarial network model filled with missing data according to the historical operation state data; according to the trained generative adversarial network model filled with the missing data, target filling data is generated, and the target filling data is used for controlling the operation state of the water supply system in real time. By adopting the method, the filling of the missing data of the water supply system of the nuclear power station can be realized.

The invention discloses a video generation method and apparatus, a device and a storage medium. The method comprises the steps of obtaining a reference video and an editing prompt word; analyzing the two to generate a structured multi-track scene video script; and generating a target video conforming to the editing prompt according to the script. The multi-track scene video script comprises a reference feature anchor point module which is used for recording a unique identifier of an entity in a video and description information of the entity so as to establish a subject identity benchmark; the event track module is composed of a plurality of event units and is used for associating the relationship between the audio event and the execution entity by referencing the entity identifier so as to describe the audio narrative logic; and the visual track module is composed of a plurality of lens units and is used for associating the split picture with the audio event required to be presented by quoting an event identifier so as to describe a visual presentation mode. The quality and controllability of the generated video in the aspects of subject consistency, shot language accuracy and sound and picture synchronization effect can be improved, and the method can be widely applied to the technical field of videos.