152 results about "Analytical control" patented technology

The invention relates to the technical field of environment monitoring and automatic control, and specifically provides a dust monitoring analysis control system based on a port bulk cargo storage yard electronic greenhouse. The system comprises an environment multi-dimensional sensing module, a dust field dynamic reconstruction module, a dust suppression demand prediction module and a precise execution control module, and through multi-dimensional data acquisition, dynamic three-dimensional dust field modeling, future dust suppression demand prediction and space and time sequence optimization regulation and control of spraying resources, the dust suppression demand prediction and the precise execution control module are optimized. Accurate monitoring and prediction of dust concentration and on-demand throwing of dust suppression resources are achieved, and control timeliness, foresight and operation energy efficiency are effectively improved.

The invention relates to the technical field of intelligent agricultural intelligent irrigation control, and discloses an intelligent irrigation analysis control system based on a crop growth period. The system comprises a crop image sequence, soil humidity profile data and a regional meteorological sequence. And the data analysis module is used for performing multi-stage growth state interpretation on the image sequence, generating a crop structure state profile in each growth period, performing vertical moisture exchange identification on the soil humidity data, and generating a root zone moisture dynamic map. And the habitat mapping and stress evaluation module synchronously executes habitat adaptability mapping and moisture stress risk mapping. And the irrigation decision module corrects the habitat mapping result according to the stress evaluation result and generates an irrigation decision profile. And the control instruction generation module generates a partition valve control instruction in combination with the decision profile and the alternate irrigation rule. According to the invention, deep fusion analysis of the crop growth state, the root zone moisture and the meteorological environment is realized, and the irrigation decision accuracy and the water resource utilization efficiency are improved.

The invention relates to the technical field of wind power monitoring, and discloses a construction engineering tower crane wind power monitoring control method, which comprises the following steps: collecting wind power environment data around a tower crane structure through a multi-source sensor network, including wind speed, wind direction, wind pressure and tower crane boom vibration parameters, and generating a tower crane wind power original data set; performing wind load fusion evaluation processing based on the tower crane wind power original data set, calculating actual wind load distribution of each part of the tower crane by combining a tower crane structure model and a computational fluid dynamics principle, and generating tower crane wind load evaluation data; when wind power monitoring and controlling of the tower crane in constructional engineering are carried out, wind power environment data and structure response data around a tower crane structure are collected through a multi-source sensor network, a tower crane wind power original data set is generated, wind load fusion evaluation processing is carried out, and the wind load actually borne by the tower crane can be reflected; and meanwhile, the calculated tower crane wind load evaluation data and the tower crane safety threshold are compared and analyzed in real time, and a reliable basis is provided for control decision.

Koopman operator theory is a widely used method to analyze, control, and predict the behavior of the states of a non-linear dynamical system using measurement functions in Hilbert space. Real time approximation of the Koopman operator is crucial in order to adapt and understand behavior of underlying non-linear dynamical system. Traditional approaches leverage matrix-based methods or artificial neural networks to approximate Koopman operator. However, such methods necessitate significant power and computational resources, therefore may not be suitable for applications that require real-time on-board processing. The problems of the conventional approaches are resolved based on a recent development of brain inspired spiking neural networks and neuromorphic computing platforms, as these offer extremely low-energy computation and real-time responses. Embodiments of the present disclosure provide implementation of a Spiking Neural Network (SNN) based architecture that efficiently approximate Koopman operator with minimal length of data and demonstrates significant computational savings.

The invention discloses a temperature and pressure control method and system of a reaction kettle, and relates to the technical field of chemical equipment automatic control, the temperature and pressure control method comprises the steps of data acquisition, processing, coupling analysis, control decision and adjustment execution, and a temperature compensation value and a pressure compensation value are generated through dynamic compensation. Based on a coupling coefficient switching adjustment strategy, precise adjustment is realized by combining prediction optimization and segmented control; the temperature and pressure control system comprises a sensing module, a control module, an execution module and a safety interlocking unit. Distributed data acquisition, multi-module cooperative work, environment monitoring unit auxiliary compensation and safety interlocking unit guarantee protection are realized. According to the temperature and pressure control method and system of the reaction kettle, the problems of low control precision and weak interference resistance in the prior art are solved, the temperature control precision is + / -0.5 DEG C, the pressure is + / -2kPa, the response speed is high, the method and system are suitable for high-requirement reaction processes in the fields of chemical engineering, medicine and the like, and the method and system have the advantages of high precision, fast response and high safety.

The invention provides a multifunctional channel detection system based on a Zynq chip. The multifunctional channel detection system is characterized in that a system main control module is deployed at an ARM processor end of the Zynq chip; the protocol analysis control module, the fault-tolerant detection excitation module and the bottom hardware adaptation module are deployed at the FPGA programmable logic end of the Zynq chip; the system main control module communicates with each module of the FPGA programmable logic end through an AXI bus; the underlying hardware adaptation module receives the configuration from the system main control module and completes electrical adaptation and dynamic switching of various bus interfaces; the protocol analysis control module receives an instruction from the system main control module, and performs protocol analysis and feature verification on at least one of an SPI bus, an IIC bus and a 1553B bus; the fault-tolerant detection excitation module receives the trigger from the system main control module and injects a controllable fault into the tested bus interface; and the system master control module integrates the verification result and the injection feedback to complete the performance and reliability evaluation of the bus channel.

This invention discloses a parking trajectory evaluation method, comprising: generating multiple candidate obstacle avoidance paths represented by fourth-order Bézier curves; utilizing the convex hull property of Bézier curves, a graded collision detection mechanism is used to screen candidate paths with no collision risk through preliminary axial bounding box judgment and precise judgment using the separating axis theorem; for safe candidate paths, regression gravity cost, ride comfort cost, and comprehensive safety cost are calculated by analyzing the geometric relationship of control points, wherein the regression gravity cost is based on the alignment degree between the control point evaluation at the curve endpoint and the heading and curvature of the reference path, and the ride comfort cost is calculated based on the discrete bending energy model of the control polygon; the comprehensive evaluation cost is obtained by weighted summation of the costs of the above three dimensions, and the path with the minimum cost is selected as the execution trajectory, wherein the weight coefficients are dynamically adjusted according to the width of the lateral passable space and the vehicle speed. This invention reduces the computational power consumption of planning and achieves smooth regression with the memorized path after obstacle avoidance.

The invention provides a sound wave propagation spatial distribution and sound source position control method, and relates to the technical field of loudspeaker control, and the method comprises the steps: building an analysis control model based on a sound source and a propagation auxiliary object; constructing a first area of sound wave propagation of the sound source in the analysis control model, and marking a second area of spatial distribution of sound wave propagation of the current sound source; mapping the target position to an analysis control model to generate a mapping point location; when the mapping point is in the second area or the mapping point is not in any first area, the sound source position is not controlled; and when the mapping point location is not in the second area but is in any first area, determining a target sound source in the first area, and determining a sound source position control parameter based on the control library correspondingly associated with the target sound source and the mapping point location. According to the sound wave propagation spatial distribution and sound source position control method, sound delivery is carried out according to the position of a film viewer, and the viewing experience of the film viewer is guaranteed.

The application discloses a fan control system and a system manager, relates to the technical field of intelligent control, and solves the problems of low control precision, no analysis of operation parameter changes and non-serious supervision in the prior art fan control, wherein the application determines whether the fan unit of the corresponding fan has an operation abnormality problem by analyzing the corresponding operation value; if the operation abnormality problem exists, operation abnormality analysis is performed; whether the operation parameters of the fan unit are consistent is preferentially analyzed; subsequently, the angle of the fan unit is analyzed to determine whether the angle is consistent; if the operation parameters and the angle are normal, it is represented that no operation problem exists; if an abnormality exists, timely processing and warning are performed; the overall control effect of the fan unit is improved; the situation that energy consumption and service life are ignored for improving operation effect is avoided; and the control quality is ensured to a certain extent.

The application discloses a laser detection system and method for coating film thickness of color-coated plates based on image recognition, and relates to the technical field of measurement equipment.The system comprises an optical data acquisition module, a film thickness change feature extraction module, a double-path parallel solution module, a double-channel arbitration module, a single-point quality determination module, a trend analysis control module and a film thickness distribution visualization module.The optical data acquisition module acquires laser speckle images and spectral response data, the film thickness change feature extraction module acquires film thickness change features, the double-path parallel solution module outputs film thickness values of image and spectral channels, the double-channel arbitration module outputs film thickness prediction values, the single-point quality determination module performs quality qualification determination, the trend analysis control module generates process parameter adjustment instructions, and the film thickness distribution visualization module performs visual presentation of film thickness distribution.The application improves detection precision and anti-interference capability by acquiring optical data, realizes comprehensive evaluation of film thickness distribution, and effectively guarantees product quality and process stability.

The application discloses a new energy power generation intelligent control method and system based on big data, and concretely relates to the field of new energy power generation control, and comprises the steps of multi-dimensional data acquisition, data preprocessing, model analysis, control decision generation and execution and feedback correction: through the collection of environment, equipment, power grid and historical data by Internet of Things sensors, after the elimination of outliers, space-time alignment and normalization processing, a multi-parameter coupling output model and an optimization objective function are constructed, the photovoltaic, wind power and energy storage control instructions are generated in combination with equipment safety and power grid constraints, and the weight coefficient is corrected when the deviation exceeds the threshold. The system comprises data acquisition, processing, mathematical modeling analysis, control execution and storage modules, the scheme improves the control precision and system stability, prolongs the equipment life, has strong compatibility, can be directly applied to various scale new energy power stations, does not need to be re-adjusted, and effectively supports the efficient and stable operation of new energy power generation.

An intelligent sensing type primary and secondary fusion circuit breaker disclosed by the present invention comprises a circuit breaker body, the bottom of the circuit breaker body is provided with an installation assembly used for supporting, the installation assembly is internally provided with an intelligent sensing assembly, the circuit breaker body comprises a circuit breaking box body, and the top of the circuit breaking box body is fixedly provided with three three-phase pole columns. One side of each of the three three-phase poles is fixedly provided with a vacuum arc-extinguishing chamber; by breaking through the limitation of physical integration of traditional primary and secondary fusion equipment instead of function cooperation, full-link deep fusion is perceived, analyzed and controlled, a multi-dimensional synchronous perception network and an AI fault prediction model are matched, a protection mode is upgraded to initiative early warning from post-event tripping, the early warning accuracy is improved, and the method is adaptive to complex working conditions and weak communication scenes and has a wide application prospect. The fault detection time is shortened to a millisecond level, the fault isolation time is less than 30 seconds, the power supply recovery efficiency is improved compared with that of traditional equipment, the fault positioning precision is enhanced, and the manual inspection cost is greatly reduced.

The invention relates to a rain sensor for motor vehicles that precisely detects rain intensity and dirt accumulation on the windshield. The sensor uses modulated light beams emitted by LEDs or laser diodes and guided through the windshield. Changes caused by raindrops or dirt are detected by photodetectors and analyzed by a control unit consisting of a computer system with a CPU and memory. The control unit processes the signals and derives measured values ​​for the probability of rain and the windshield's attenuation. In addition, the sensor supports encrypted communication, software updates, and integration into modern connected vehicle systems. Its modular design allows for adaptation to various vehicle models and environmental conditions. The rain sensor is future-proof and ready for integration into intelligent and autonomous vehicle systems, ensuring high precision and reliability under diverse weather conditions.

This invention provides a behavior-driven dynamic response method and system for home appliances, relating to the field of data analysis technology. The method includes: collecting real-time environmental data to establish an environmental feature dataset; segmenting the environmental feature dataset into a temporal and spatial domain based on device control information to generate basic environmental features; calling data collected from image sensors within the temporal and spatial domain to establish a user image set; extracting user features from the user image set; separating continuous actions from independent actions based on a continuous time interval; establishing fuzzy scene features to filter and optimize the action separation results; generating behavior response results based on the filtering, optimization, and grading results; and associating these results with the device's basic data for user control management. This invention solves the technical problem in existing technologies where the lack of association between devices and scenes leads to low accuracy in user behavior analysis and control, achieving precise association between scenes and actions and improving the accuracy of user behavior analysis and control.

The invention relates to the technical field of surfactant online monitoring, and discloses a surfactant production raw material online monitoring and analysis system, which comprises a near-infrared detection light source, an optical acquisition module and an analysis control module, calculating a real-time average intensity and an effective value fluctuation component of the voltage signal sequence, determining a real-time variable coefficient value, and identifying a transmission loss component caused by material hanging of the detection window according to the stability of the real-time variable coefficient value, so as to execute amplitude gain correction on the voltage signal sequence, extract intrinsic light absorption characteristics, and obtain an intrinsic light absorption characteristic; according to the invention, by establishing essential correlation logic of the variable coefficient and hanging material deposition, real-time decoupling of physical hanging material interference and component drift characteristics under a single light path is realized, the influence of a high-viscosity material adsorption layer on a measurement basis is eliminated, and the physical continuity of component analysis is ensured.

The invention provides a multi-parameter cooperative intelligent control method and system for pulverized coal combustion, and aims to overcome the defects of the existing control technology. According to the method, multiple parameters of pulverized coal flow and primary air flow are collected in real time, data cleaning, filtering and normalization preprocessing are carried out, then a multi-parameter cooperative control model is constructed through a machine learning algorithm, key parameters are predicted based on the model, a control decision is analyzed, finally, the parameters are adjusted through an execution mechanism, and real-time adjustment is carried out according to feedback. The system comprises a data acquisition module, a data processing module, a model construction module, a control decision module, an execution module and a feedback module. According to the method, multi-parameter cooperative control can be achieved, the complex nonlinear relation can be precisely processed, the real-time self-adaptive capacity is achieved, the combustion efficiency is effectively improved, the combustion stability is enhanced, emission of carbon monoxide and nitrogen oxide pollutants is reduced, the data value can be fully mined to optimize the control strategy, and remarkable economic benefits and environmental protection benefits are achieved.

The utility model discloses a photoresist emptying detection device and a machine table. The photoresist emptying detection device comprises a first gas detection sensor arranged on a photoresist container and a second gas detection sensor arranged on a photoresist pipeline, the device further comprises an analysis control system, and the analysis control system is connected with the first gas detection sensor and the second gas detection sensor and judges whether the photoresist is emptied or not according to detection results of the first gas detection sensor and the second gas detection sensor. Through the photoresist emptying detection method in which the two sensors are matched with each other, the actual consumption condition of the photoresist is accurately identified, the problem of bubbles in a pipeline is timely eliminated, and meanwhile, the photoresist allowance can be further confirmed according to signals of the sensors on the photoresist container. Manual confirmation is not needed, and production efficiency is improved.

The invention relates to a terminal storage function detection method and system, a terminal and a storage medium, and relates to the technical field of data storage verification, and the method comprises the steps: obtaining a to-be-tested module of a preset storage terminal; analyzing the to-be-tested module to determine module demand data, a data demand range and a region association rule; analyzing the module demand data and the regional association rule to determine module detection data, global detection data and a theoretical return result; obtaining current storage data; and analyzing the to-be-tested module, the module detection data, the global detection data, the theoretical return result, the data demand range and the current storage data, and controlling a preset detection device to detect a storage terminal so as to determine a storage detection result. The method has the effect of improving the storage function detection efficiency.

The invention provides a train unhooking control dynamic optimization method and system, and relates to the technical field of robot control, and the method comprises the steps: obtaining multi-modal sensing data according to the front-end sensing collection of an unhooking robot, mapping the multi-modal sensing data to a high-dimensional state embedding manifold in an intelligent control unit, and obtaining a high-dimensional state embedding manifold in the intelligent control unit; and manifold positioning and similarity retrieval based on the high-dimensional state embedded manifold are executed, an unhooking control strategy is generated, a continuous control track of the unhooking control strategy is analyzed into a motor instruction sequence of robot joints, the motor instruction sequence is issued to a control end of an unhooking robot, and automatic unhooking driving management is carried out. The technical problems of how to improve the automation level of unhooking operation and avoid unsafe factors and low efficiency caused by human factors are solved. The technical effects that through automatic intelligent analysis control, manual intervention is reduced, and the unhooking operation efficiency, accuracy and safety are improved are achieved.

The invention relates to the field of intelligent traffic, aims to overcome the defects in the background technology, and provides a highway emergency rescue roadside police command robot and a decision command method so as to improve the accident handling efficiency and reduce the safety risk. According to the technical scheme, the highway emergency rescue roadside police command robot comprises a robot body unit, a control unit, a data unit, a driving unit, a power supply unit, a man-machine interaction unit, a communication unit, an execution unit, a moving unit, a sensing unit and an unmanned aerial vehicle unit. A decision command method comprises the following steps: a sensing unit collects traffic data; the data unit is used for transmitting, collecting, storing and analyzing the traffic data acquired by the sensing unit; the control unit identifies and classifies the traffic participants to obtain alarm accidents and classifies the alarm accidents; the control unit makes a decision according to the alarm accident level, sends a command instruction and carries out command action; and the alarm condition is ended.

This invention relates to the field of waste heat recovery technology in textile machinery, and more particularly to a multi-sensor fusion monitoring method and system for waste heat recovery systems in stenters. The method acquires data from multiple sensors and performs spatiotemporal alignment and fusion calculations to obtain a comprehensive system status assessment result. Based on this result, anomaly identification and multi-objective optimization are performed to generate a control execution scheme. After the scheme is executed, response data is collected to analyze control effect deviations, and relevant parameters are adaptively adjusted accordingly. This invention achieves precise monitoring and intelligent control of the waste heat recovery system status, improving system operational stability and energy efficiency.

1. Name of the designed product: graphic user interface for analyzing and controlling the spraying process of electronic equipment. 2. Use of the designed product: for electronic equipment. 3. Design points of the designed product: in the graphic user interface. 4. Picture or photo best indicating the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. Use of the graphic user interface: the graphic user interface of each design is used for human-computer interaction for analyzing and controlling the spraying process. 7. Human-computer interaction mode of the graphic user interface: design 1 is used to display the target pressure set by the user and dynamically display the current spraying pressure; design 2 is used to dynamically display the current spraying pressure. 8. Other circumstances needing explanation: the numbers in the graphic user interface can be changed; a kind of electronic equipment to which each design is applied is shown in the reference drawing.

A system and method include an analysis control unit configured to receive nuclear magnetic resonance (NMR) data of a sample. A reference database is in communication with the analysis control unit. The reference database stores standard data including information regarding a plurality of standards for chemical compounds, and may also store information regarding quantum mechanical spectral analysis (QMSA) model data and test method data. The analysis control unit is further configured to compare the NMR data with the standard data to determine if the NMR data is associated with one of the plurality of standards, and identify one or more differences between the NMR data and the one of the plurality of standards.

A first liquid raw material and a second liquid raw material are reacted with each other by a reactor of a reaction device, so that a reaction product is produced. The reaction product is analyzed by an analyzer. In the controller, the reference value is acquired by the reference value acquirer from the chromatogram obtained from the result of the analysis by the analyzer. An upper limit value and a lower limit value with respect to the reference value are set by an allowable range setter. At least one of a residence time of the first liquid raw material, a residence time of the second liquid raw material, a reaction temperature, and a reaction pressure in the reactor is dynamically changed as a control target by a reaction controller such that the reference value falls between the upper limit value and the lower limit value.

The application provides a train uncoupling control dynamic optimization method and system, and relates to the technical field of robot control. The method comprises the following steps: acquiring multi-modal sensing data according to front-end sensing collection of an uncoupling robot, mapping the multi-modal sensing data to a high-dimensional state embedding manifold in an intelligent control unit, performing manifold positioning and similarity retrieval based on the high-dimensional state embedding manifold, generating an uncoupling control strategy, analyzing a continuous control trajectory of the uncoupling control strategy into a motor instruction sequence of robot joints, and delivering the motor instruction sequence to a control end of the uncoupling robot to perform automatic uncoupling driving management. The technical problem of how to improve the automation level of uncoupling operation and avoid unsafe factors and low efficiency caused by human factors is solved. The technical effect of reducing manual intervention, improving uncoupling operation efficiency, accuracy and safety through automatic intelligent analysis and control is achieved.

The present invention provides an image analysis system (10) including: a plurality of image analysis units (11); a selection unit (12) that selects at least one of a plurality of the image analysis units (11); an analysis control unit (15) that causes the selected image analysis unit (11) to analyze an image specified by a user; and an output unit (17) that outputs an analysis result of the image.

A cleaning system comprising a water treatment module, a persistent surface treatment dispenser, and an analytics controller. The water treatment module produces a treated solution from mains water an

The invention relates to the technical field of big data management, in particular to a control method and system and a vector network analyzer thereof, and the method comprises the following steps: obtaining frequency control parameters, generating an excitation frequency scanning control sequence, driving reflection and transmission paths to collect data, and analyzing amplitude fluctuation and direction change. And identifying the abnormal paragraph and adjusting the amplitude to a target state, generating a measurement channel compensation completion flag bit table, and analyzing a control instruction and a state to obtain a compensation data synchronization control path set. According to the invention, by generating the excitation frequency sequence and combining the channel number and the port number, the frequency excitation and the measurement path are coordinated. An amplitude fluctuation direction identification mechanism is introduced into a frequency band, symmetry deviation paragraphs are dynamically marked, amplitude values are adjusted point by point, and abnormal frequency response expansion is avoided. By updating the compensation flag bit and the synchronous control data in real time, the data processing stability and the measurement result reliability are improved in a multi-channel parallel test and high-frequency change scene.

The invention provides a high-throughput sorting system for watermelon seed purity. The high-throughput sorting system comprises a rack, an analysis control mechanism, a feeding mechanism, a near-infrared spectrum collecting mechanism and a sorting and seed collecting mechanism, wherein the feeding mechanism, the near-infrared spectrum collecting mechanism and the sorting and seed collecting mechanism are arranged on the rack; the feeding mechanism is used for conveying to-be-detected seeds to the near-infrared spectrum acquisition mechanism in a branching manner, the near-infrared spectrum acquisition mechanism is used for acquiring diffuse reflection spectrum data of the seeds in a full-surrounding light environment and transmitting the diffuse reflection spectrum data to the analysis control mechanism, and the analysis control mechanism analyzes information of single seeds according to the received data and classifies the single seeds; the sorting and seed collecting mechanism sorts the seeds according to the classification of the analysis control mechanism and collects the seeds into corresponding seed collecting trays; the invention provides a watermelon seed genotype sorting scheme which is nondestructive, high in throughput and high in precision, the seeds conforming to the target genotype are sorted out by automatically collecting and extracting phenotype data and characteristics of watermelon seeds and constructing a model to analyze the genotype, and the seed purity detection and sorting precision and efficiency are high.

The invention provides a steel refining control system and method based on machine vision, and the system comprises a refining furnace, and is characterized in that the system also comprises an image collection module, an analysis control module and a judgment module which run on a computer and are connected with the refining control system, and the image collection module, the analysis control module and the judgment module are mutually connected; the refining furnace is used for refining molten steel in the furnace, and refining information in the refining process is in electric connection or / and signal connection with the refining furnace control system, so that data interaction is realized; the image acquisition module is used for acquiring refining furnace mouth flame image information; the analysis control module is used for calculating and analyzing the flame image information acquired by the image acquisition module; and the judgment module is used for accurately and effectively judging the carbon content and the temperature of the molten steel tapping end point of the refining furnace, and finally controlling the refining furnace to refine qualified molten steel and discharge the molten steel, so that cost increase and resource waste caused by remelting due to misjudgment are avoided.