1212 results about "Automated control system" patented technology

The invention discloses a method, a system and a device for monitoring multifunctional parameters of a direct-current drilling machine, and relates to the technical field of manufacturing of industrial automatic control system devices. The method, system and device for monitoring the multifunctional parameters of the direct-current drilling machine comprises the steps that S1, various data are collected and subjected to standardization and normalization processing, and a standardized working condition data set is constructed; s2, multi-dimensional disturbance characteristics are analyzed, and the stability level of a drilling system is quantified; s3, evaluating a dynamic evolution trend of a working condition, and updating a risk level, a response strategy and a monitoring priority; and S4, identifying an abnormal state based on the key disturbance value and the trend evolution value, and generating a monitoring report. The problems that an existing direct current drilling machine display device is insufficient in key working condition feature extraction capacity, deep understanding and trend analysis of the equipment operation state are difficult to support, and then the early warning timeliness and judgment accuracy of the abnormal state are limited are solved.

The invention discloses a self-adaptive control unmanned aerial vehicle flight path correction method and system, and relates to the technical field of unmanned aerial vehicle flight control, and the method comprises the steps: collecting flight environment data through a sensor group carried by an unmanned aerial vehicle, constructing a three-dimensional environment model, and dividing the three-dimensional environment model into space units, the real-time pose of the unmanned aerial vehicle is determined based on point cloud matching and pose estimation technologies, trajectory offset is predicted according to a preset flight path, flight trajectory deviation parameters are generated, and a triaxial compensation strategy of horizontal plane, vertical direction and lateral offset is analyzed through trend analysis of the deviation parameters. And finally performing dynamic compensation correction on the flight path of the unmanned aerial vehicle according to the three-axis adjustment amount. The technical problem that the real-time accurate correction efficiency of the flight path of an existing unmanned aerial vehicle in a complex environment is low is solved, and the technical effect of shortening the dynamic compensation response time of the flight path deviation of the unmanned aerial vehicle is achieved through an industrial automatic control system device manufacturing technology and an intelligent monitoring device.

The invention relates to the technical field of microbial fermentation control, in particular to an automatic microbial reaction fermentation control system and a control method. The method comprises the following steps: collecting real-time microbial environment parameters and identifying a data multi-axis structure, extracting master control environment interval data, eliminating redundant signals to generate standard microbial environment data, defining a fermentation degree contrast template through fermentation historical records, and constructing a microbial fermentation timeline framework. The method comprises the following steps: acquiring standard environmental data, identifying a fermentation state of the standard environmental data, constructing a simulated microbial environmental field by using the standard microbial environmental data, performing global microbial reaction simulation, determining fermentation reaction structure partitions based on the data, performing difference comparison to generate fermentation difference data, and performing compensation simulation by using the difference data. And automatic fermentation compensation control of microorganisms is realized. According to the invention, the intelligent automatic control and optimization of the microbial fermentation process are realized, the fermentation efficiency and stability are obviously improved, and the manual intervention is reduced.

The invention provides a well drilling automatic control system which comprises an input establishing module used for inputting well track design parameters and establishing a well drilling system dynamic model; the target trajectory planning module is used for verifying stratum parameters according to the actual drilling data and planning the target trajectory of the current drilling section based on the verification result by using the drilling system dynamics model to obtain the target trajectory; the control quantity feed-forward calculation module is used for calculating the control quantity of the drilling machine by adopting a feed-forward algorithm based on the target track parameters, controlling the drilling real-time calibration module of the drilling machine, and correcting the control quantity in real time based on real-time evaluation of drilling errors in the drilling process; and the data output module is used for outputting logging data in the drilling process of the column after the preset drilling distance of the column is reached. Full-intelligent operation in the drilling process is achieved, and the precision, safety and oil and gas recovery efficiency of drilling operation are effectively improved.

The invention belongs to the technical field of automatic control, and relates to a self-adaptive control method based on multi-physical modeling. According to the method, by collecting multi-source data of a controlled object, a thermal, electric and force coupling relation used for control analysis is established so as to describe dynamic responses under different operation conditions. And calculating stress, motor power, energy consumption and temperature rise change in the operation process based on a coupling relation to obtain system performance data, verifying stability and safety of different control parameter combinations in a simulation environment, and obtaining performance indexes including operation retardation risk, overload safety margin and safety response time limit. And according to a simulation result, under the condition of meeting safety constraints, taking energy consumption and temperature rise as optimization targets, adjusting control parameters, generating optimized control parameter configuration data, and feeding back the optimized control parameter configuration data to a control unit, so that closed-loop adaptive control and performance optimization are realized. According to the invention, through multi-physical coupling modeling and simulation optimization, the adaptability and reliability of the automatic control system are improved.

The invention relates to the technical field of data processing, and provides an automatic control system and method for a hollow plate extrusion production line, and the method comprises the steps: collecting a real-time temperature data sequence, a speed change data sequence and a pressure response data sequence in a hollow plate extrusion process, and carrying out the multi-dimensional feature extraction and response collaborative analysis; obtaining a traction speed correction instruction sequence and a screw rotation speed adjustment instruction sequence; and performing linkage control on the hollow plate extrusion production line according to the traction speed correction instruction sequence and the screw rotation speed adjustment instruction sequence. Through multi-dimensional feature extraction and response collaborative analysis, accurate monitoring and adjustment of multiple key parameters such as temperature, speed and pressure are achieved, the production efficiency and the stability of product quality are improved, a hollow plate extrusion production line can operate efficiently and stably in a complex and changeable production environment, and the production efficiency is improved. The problems that an existing control method is low in reaction speed and insufficient in adjusting precision in the face of complex production working conditions are solved.

The invention discloses a small waste incineration full-automatic control system and method, and particularly relates to the technical field of solid waste treatment.The method comprises the following steps that waste throwing is recognized through infrared induction, a preheating device is started to heat a combustion chamber, and the heating intensity is adjusted in real time; when the temperature reaches a preset threshold value, the air volume, the feeding time and the combustion time are controlled according to the garbage type, and stable combustion is achieved; the concentration of carbon monoxide, nitric oxide and particulate matter in tail gas is monitored in the whole process, and combustion parameters are automatically adjusted when the emission limit value is close; after combustion is finished, slag is automatically discharged according to the amount of slag; meanwhile, temperature and emission data are collected and uploaded to a remote terminal, and full-process intelligent control and environment-friendly management are achieved; the whole-process automatic control is realized, and the manual dependence is reduced; combustion efficiency and adaptability are improved through an intelligent model; an emission prediction and feedback mechanism is introduced to ensure that the tail gas is environmentally friendly and reaches the standard, and the system stability and the intelligent level are enhanced.

The invention relates to the technical field of tail gas exhaust control, and particularly discloses an automatic control system and method for tail gas exhaust treatment, the system is provided with a data transmission detection module, a tail gas detection module and a tail gas exhaust detection module, and a data transmission quality index is obtained by performing transmission evaluation on a tail gas detection data transmission process; the stability and reliability of data transmission can be ensured, the tail gas pollution index is obtained by analyzing tail gas property data, the pollution degree of tail gas emission can be reflected, the tail gas treatment efficiency and effect can be improved, it is ensured that tail gas emission meets the environmental protection requirement, and the exhaust performance data in the tail gas exhaust treatment process is analyzed; according to the method, the operation state and performance of tail gas exhaust treatment can be comprehensively and accurately known, the exhaust performance index is obtained, the method is an important basis for evaluating the performance of a tail gas exhaust treatment system, the fault occurrence probability and the influence degree can be reduced, and stable operation of tail gas exhaust treatment is guaranteed.

The invention relates to the technical field of tobacco curing, in particular to a nitrogen preparation and storage oxygen content automatic control system which comprises a purity and pressure joint control module, a humidity regulation and optimization module, an oxygen content dynamic regulation and control module, a moisture response regulation module and a multi-parameter coupling linkage module. According to the system, intelligent dynamic adjustment is achieved through multi-parameter real-time collection and linkage feedback, synchronous judgment and optimal adjustment path formation between the nitrogen outlet purity and the pressure of each compression section, and matching of the airflow temperature, the wet film area and the nitrogen humidity, it is guaranteed that humidification is uniform and controllable in combination with automatic comparison of the outlet humidity and the storage target standard, and the system is suitable for large-scale popularization and application. The nitrogen injection flow rate and the outlet humidity directly participate in the active response process of oxygen content change, self-adaptive balance of the storage oxygen environment is achieved, moisture monitoring penetrates through the surface layer and the interior, temperature setting and the wet film area are finely adjusted along with the moisture state, and the nitrogen humidity state is finely matched with the tobacco leaf requirement.

The invention discloses a press-in type open caisson construction method based on an automatic control system. The automatic control system comprises a data acquisition module, a data analysis and decision module and an execution control module. The data acquisition module is used for collecting data in the sinking process of the open caisson in real time, the data analysis and decision module analyzes the collected data in real time and generates a control instruction, and the execution control module regulates and controls the pressure sinking equipment and the soil sampling equipment according to the control instruction; the construction method comprises the following steps: constructing a ground anchor pile; isolation pile construction; construction of the open caisson: surveying and setting out, excavating a foundation pit, laying a sand cushion layer, laying a concrete cushion layer, constructing a brick moulding bed, erecting a scaffold, erecting a template, binding reinforcing steel bars and pouring concrete; pressing and sinking the open caisson; according to the method, an automatic control system is adopted, various parameters in the open caisson construction process can be monitored and adjusted in real time, uniform sinking of the open caisson is achieved through accurate control over the parameters, and the construction precision and quality are improved.

The invention discloses a hoist automatic control method for intelligent water conservancy, and belongs to the technical field of intelligent water conservancy. The method specifically comprises the following steps: S1, constructing a multi-dimensional parameter monitoring system: deploying multiple types of sensors on a hoist and corresponding water conservancy facilities, collecting water conservancy environment parameters, equipment operation parameters and environment meteorological parameters in real time, performing cleaning, format conversion and space-time alignment on data, and synchronizing the processed data to an intelligent water conservancy cloud platform; s2, historical data preprocessing and depth feature extraction: obtaining historical data of the multi-dimensional data, performing multi-dimensional preprocessing, constructing depth feature extraction ore pulp based on the preprocessed historical data and the data acquired in real time, and extracting depth features capable of accurately reflecting a water conservancy scene rule and an equipment operation state. By constructing a multi-dimensional parameter monitoring system, three types of parameters of a water conservancy environment, equipment operation and environmental meteorology are collected in real time, and decision one-sidedness caused by only depending on water level data is avoided.

The invention relates to the technical field of road maintenance, and discloses a laser leveling automatic control system for the paving thickness of a cold-recycled mixture, and the system comprises a state obtaining module which is used for obtaining state information in real time; the prediction module is used for generating a final forming thickness prediction value based on the dynamic compaction settlement model; the control decision module is used for determining the deviation between the final forming thickness predicted value and the preset target forming thickness and outputting a target control instruction based on the deviation; the execution module takes the target control instruction as input and sends the target control instruction to the paving device; and the model correction module is used for adjusting parameters of the dynamic compaction settlement model. The state information in the state acquisition module is received through the prediction module, a final forming thickness prediction value is generated, and error feedback adjustment is performed based on the final forming thickness prediction value, so that advanced modeling and compaction ratio prediction and auxiliary paving elevation regulation are realized, and the problems of large system hysteresis and slow response to nonlinear settlement are solved.

The invention discloses an automatic control system based on full-automatic intelligent surface treatment equipment, which relates to the field of industrial production surface treatment and comprises a data acquisition module, a data analysis module, a process decision module, a control execution module, a fault monitoring module, a man-machine interaction module, a data storage and management module, a self-adaptive learning module, a remote monitoring and maintenance module and a green energy-saving module. An advanced sensor is combined with a micro-nano sensing technology, a deep reinforcement learning and transfer learning combined algorithm is applied, genetic optimization fuzzy reasoning is adopted, through magnetic suspension and compound control, faults are monitored based on deep learning, a VR technology is introduced to realize human-computer interaction, and a block chain technology is adopted to store data. And a meta-reinforcement learning algorithm is used to automatically adjust decision rules and parameters, and the remote collaborative robot carries out maintenance operation on the equipment. The system is accurate in data acquisition, scientific in analysis and decision, accurate in control, timely in fault diagnosis, convenient in man-machine interaction, efficient in data management, energy-saving and capable of comprehensively improving the production efficiency.

Provided is an automated control system for a work machine capable of suppressing deterioration of the workability in automated work caused by instability of the ground for the work machine. An automated traveling control section 703 performs automated traveling of the work machine; an automated work control section (automated excavation control section 704) performs automated work of the work machine; and a stability determination section702 determines stability of ground for the work machine. When execution of automated traveling control by the automated traveling control section 703 is to be followed by execution of automated work control by the automated work control section (automated excavation control section 704), stability determination by the stability determination section 702 is executed before executing the automated work control, and automated control of the work machine is executed on the basis of a determination result obtained by the stability determination section 702.

The invention discloses an automatic control system for a railway bridge static load bending test, which relates to the technical field of bridge engineering detection and comprises an intelligent sensing layer, a digital twin engine, an intelligent control layer, a trusted data management layer, a green energy supply layer and a man-machine interaction layer. The equipment health prediction model integrates oil temperature, vibration and current data to predict mechanical faults, performs early warning 30 minutes in advance, automatically switches to a slow loading mode when the crack propagation rate exceeds the limit, breaks through a passive protection mode of single threshold alarm, realizes multi-dimensional active protection from structural damage to equipment degradation, and drives finite element model updating through sensor data. The simulation prediction reverse correction loading strategy and the RBF neural network online correction material parameters are simulated and predicted, parameter iteration is triggered when the deviation is larger than a set value, the island problem that a traditional BIM only uploads data in a one-way mode is solved, closed-loop verification of test data and design parameters is achieved, and simulation precision is improved.

The present invention belongs to the technical field of desulfurization activated carbon regeneration, and relates to a blast furnace gas desulfurization activated carbon regeneration process and device, the regeneration device includes a washing and extraction tank, a regeneration reactor, a gas detection and analysis system, an automatic control system, a temperature monitoring system, and a deoxygenation reactor; the regeneration process includes S1, washing and extraction, S2, heating regeneration: according to the sulfur content of the outlet gas of the regeneration reactor, the heating temperature is adjusted by gradient, and the temperature range of the regeneration reactor is controlled: 150-300°C, and the temperature gradient is 30-50°C; S3, gas circulation, air oxidation, so that elemental sulfur is precipitated from polysulfide. The regeneration process of the present invention has a small carbon loss rate, increases the number of regenerations, and further reduces costs; the temperature of the thermal regeneration process is 150-300°C, the regeneration temperature is low, and the regeneration temperature can be adjusted according to the outlet gas concentration gradient, reducing energy consumption, and at the same time ammonia resources can be recycled, reducing the amount of solution used and the amount of waste liquid discharged, and the regeneration process can obtain elemental sulfur with economic value.

The invention provides a device and method for testing the reliability of a power sensor, and the device comprises a magnetic field generation unit which is used for providing an alternating current for a Helmholtz coil through a power frequency current source, and generating a controllable magnetic field; the electric field generating unit is used for providing a high-voltage direct current or power frequency alternating current power supply for the parallel-plate capacitor through a high-voltage generator to generate a uniform electric field; the tested unit is used for providing a standard excitation signal through a standard source matched with the to-be-tested sensor, simulating an input condition of the to-be-tested sensor under an actual working condition and collecting output data of the to-be-tested sensor; and the control unit is used for setting test parameters, generating a control instruction according to the test parameters and generating a test result according to the output data. According to the device and the method, by simulating a strong magnetic field and a strong electric field environment and combining application of various measured parameters and an automatic control system, the reliability evaluation requirement of the sensor under the actual working condition is fully met.

The invention belongs to the field of petroleum and natural gas drilling engineering, and particularly relates to an ocean fine pressure control drilling inspection device and method. A wellhead monitoring device is used for monitoring locking information of a hoop of an annular blowout preventer; the drill floor monitoring device is used for monitoring the coupling information of the drilling tool; the gas cut monitoring device is used for monitoring gas cut information in the well pipe; the pressure monitoring and automatic control system state monitoring device is used for monitoring valve information of the wellhead device; and the remote control center is used for receiving information sent by the wellhead monitoring device, the drill floor monitoring device, the gas cut monitoring device and the pressure monitoring and automatic control system state monitoring device. According to the invention, state monitoring of different processes such as a drill floor surface, a well mouth, a gas cut state, pressure monitoring and an automatic control system is realized, information interaction with a fine pressure control well drilling control center can be realized, whole-process monitoring of an equipment operation process is guaranteed, safety of a fine pressure control well drilling operation process is guaranteed, and labor force is saved.

The invention relates to the technical field of metro platform screen doors, in particular to a novel particulate matter-preventing energy-saving metro platform screen door with an adjustable tuyere, which comprises a metro platform, and a plurality of left-side perforated platform screen doors and right-side perforated platform screen doors are fixedly mounted on two sides of the metro platform respectively; a rotating mechanism is movably connected to one side of each shielding door with holes in the left side and one side of each shielding door with holes in the right side, an automatic control system is fixedly connected to one side of one shielding door with holes in the left side, and a left tunnel and a right tunnel are correspondingly arranged on one side of each shielding door with holes in the left side and one side of each shielding door with holes in the right side. The automatic control system adjusts the angle of the rotary baffle and closes the holes in the shielding doors on the two sides through a control circuit, on one hand, the filter screen can filter out coarse particles, on the other hand, the shielding doors can block fine particles such as PM2.5, and therefore dispersion of the particles in the tunnel into the platform is reduced, and in summer, due to the fact that the holes of the shielding doors are closed, the shielding doors can not be blocked. The loss of cold air in the platform into the tunnel is reduced, and energy is saved.

The invention provides a tire crane automatic control system and method based on embedded edge calculation, and relates to the technical field of port automation, the tire crane automatic control system comprises a sensing and detecting layer used for collecting motion states and operation environment information of a cart, a trolley and a lifting appliance of a tire crane in real time; the core control layer is used for processing sensor data in real time and generating a control instruction; the action execution layer comprises a PLC gateway, a main control PLC and a driving motor, the PLC gateway communicates with the core control layer and is used for receiving a control instruction, and the main control PLC drives the motor to execute corresponding actions of a cart, a trolley and a lifting appliance; and the task management layer comprises an intelligent remote control console, is in communication connection with the core control layer, and is used for issuing the operation task instruction to the core control layer and receiving the system state data from the core control layer. Unmanned operation of the tire crane can be achieved, and a complete technical base is provided for port automation.

The invention discloses a mobile small-flow flowmeter online calibration system and method, and belongs to the technical field of flow metering calibration. The system comprises a test pipeline, a start-stop valve group connected with a calibrated flowmeter in series, a weighing container, a high-precision electronic balance and a full-automatic control system. The system is characterized by further comprising an automatic emptying system which is kept physically separated from the weighing container during measurement and automatically descends to enter the container to empty liquid after measurement is finished; and the windproof vibration isolation system integrally wraps the high-precision electronic balance and the weighing container and is used for isolating environment airflow and mechanical vibration. Through the non-contact emptying and environment isolation design, the interference of the outside on the weighing precision is fundamentally eliminated, the technical problems of low field calibration precision and poor repeatability of the mobile small-flow flowmeter are solved in combination with the full-automatic control process, and the mobile small-flow flowmeter has the advantages of high calibration precision, high automation degree and high reliability.

The invention discloses a low seam few-person fully mechanized coal mining face mining system and method, the system comprises a coal mining machine automatic control system and a hydraulic support electrohydraulic control system, the coal mining machine automatic control system realizes position information transmission and height adjustment of a coal mining machine; the hydraulic support electro-hydraulic control system achieves hydraulic support pulling, pushing and sliding, machine following and support moving and automatic control over actions of the hydraulic support, and the remote control system conducts three-machine linkage control over key production equipment of the fully mechanized coal mining face, automatic control, locking, sudden stop, fault diagnosis, automatic liquid supplementing and data information transmission on the hydraulic support. Coal face equipment has the functions of coal wall video monitoring and the like, and the production process is automatically completed; the coal mining process is intelligent, data transmission is informationized, and on-site operators operate and produce with few persons, so that manual intervention is reduced as much as possible, and high-yield, efficient and safe production is ensured.

The invention relates to the cross technical field of biomedical engineering and psychotherapy, in particular to an automatic control system for classified exposure therapy of phobia based on naked eye 3D. The system comprises an electroencephalogram signal feature extraction module, a heart rate variability feature extraction module, a skin electric response feature extraction module, an eye movement feature extraction module, a physiological load state feature extraction module, an exposure therapy process feature extraction module, a first feature fusion module, a second feature fusion module and a stimulation parameter adaptive control module. The method combines multi-mode biological signal real-time analysis and naked eye 3D stimulation parameter self-adaptive adjustment, and is suitable for clinical psychological treatment mechanisms and psychological health intervention scenes.

The invention discloses a smart home automation control system, and belongs to the technical field of smart home. The system specifically comprises the following steps: S1, a protocol dynamic adaptation library of a multi-protocol compatible module is compatible with a mainstream communication protocol, a unified virtual ID is generated based on a virtualization mapping technology, unified management of heterogeneous equipment is realized, and an adaptive scene control module manages added equipment; through a dynamic adapter and a protocol adaptive negotiation algorithm, a cross-brand and cross-protocol equipment interconnection ecology is constructed, the core value lies in thoroughly breaking the protocol island problem in the field of smart home, and a virtual equipment mapping technology further converts non-standard protocol equipment into a unified data interface, so that equipment of different brands can be seamlessly cooperated, and the communication efficiency is improved. By deploying a multi-modal data fusion engine and an edge real-time decision engine locally, the response speed and the data processing efficiency of the system are greatly optimized.

The invention provides an automatic leveling device and method based on a servo motor system and a lead screw mechanism. A middle base is rotationally mounted at the top of a fixed base through symmetrically-arranged bottom layer hinge assemblies; first connecting rod lifting assemblies are symmetrically arranged on the opening sides of the middle base and the fixed base, and the first connecting rod lifting assemblies are connected with the output end of a first servo motor driving module fixed to the fixed base; a workbench is rotationally mounted at the top of the middle base through symmetrically arranged top-layer hinge assemblies; second connecting rod lifting assemblies are symmetrically arranged on the opening sides of the workbench and the middle base, and the second connecting rod lifting assemblies are connected with the output end of a second servo motor driving module fixed to the middle base. The leveling device achieves full-automatic leveling of target equipment based on a servo motor system, a high-precision lead screw mechanism, a digital tilt angle sensor and a matched automatic control system, and high leveling precision and efficiency can be achieved.

The invention discloses an oil and gas long-distance pipeline automatic control system fault identification method based on deep learning, and the method comprises the following steps: collecting and preprocessing a time sequence, and generating a standardized input sequence; constructing a physical constraint feature set, and generating a physical observable representation; encoding the valve opening instruction time sequence and the pump station frequency instruction time sequence to form a combined input sequence; obtaining Koopman state representation, and generating a linear evolution state sequence; a residual nonlinear compensation structure is introduced to generate residual features, and a comprehensive state sequence is formed; time scale splitting is carried out, and fast, medium-speed and slow time scale feature sequences are decomposed; identifying anomalies and generating a time scale anomaly feature set; leakage energy loss indexes are calculated and fused to form fault mode drift representation; judging the pipeline state, and outputting a fault recognition result. According to the invention, a deep Koopman operator structure is adopted, accurate identification of pipeline faults is realized, and the method has the advantage of high diagnosis reliability.

The invention discloses an automatic control system and method in the oil and gas field exploitation and production process based on artificial intelligence, relates to the technical field of oil and gas field exploitation and production, and discloses the automatic control system in the oil and gas field exploitation and production process based on artificial intelligence. Comprising a data acquisition module, an equipment control module and a cloud edge collaboration module, initial data are acquired in real time through the data acquisition module, and high-quality data input is generated through preprocessing of edge computing nodes. The equipment control module generates a preliminary equipment control instruction based on the data, and the cloud side cooperation module further utilizes a digital twin model and a cloud simulation platform to simulate the execution effect of the equipment control instruction and optimize the execution effect, so that a multi-level and multi-dimensional control strategy is formed, the operation efficiency and stability of the equipment are improved, and the equipment control efficiency is improved. And the energy consumption and the equipment loss are obviously reduced, so that the equipment control effect in the oil and gas field exploitation and production process is improved.

The invention discloses an intelligent fish culture automatic control system and method based on the Internet of Things, and relates to the technical field of aquaculture control, the system comprises a data sensing unit used for collecting water quality parameters, environment parameters and fish behavior information of a culture environment in real time by using a multi-parameter water quality sensor and an environment sensor; the intelligent control unit is used for executing a multi-parameter association control algorithm and an early warning control strategy based on the breeding environment data and executing a control instruction to adjust breeding environment parameters; the network communication unit is used for establishing data communication connection between the local and the cloud; the remote application unit is used for remote monitoring and manual intervention; the intelligent control unit comprises a main control module which is used for establishing an ammonia nitrogen driven dissolved oxygen early warning control strategy according to the water quality parameters and generating a stage treatment instruction in combination with the environmental parameters. Multiple sensors and an automatic control algorithm are integrated, water quality parameters can be monitored in real time, and the fish culture environment can be automatically adjusted.

The invention discloses a real-time monitoring and closed-loop regulation and control method and device for construction quality of an asphalt pavement, and relates to the technical field of intelligent monitoring of road construction. The method comprises the steps of collecting multi-modal data in a construction process and performing space-time alignment to generate a space-time aligned multi-modal data set; constructing graph structure data of the construction area based on the set; extracting a node embedding vector by using a graph neural network; synchronously outputting the compactness, the temperature uniformity index and the flatness index through a multi-task prediction model based on the vector; identifying a construction track abnormal area based on the road roller track data; and generating a construction quality digital twinborn model by integrating the information, and performing feedback regulation on an automatic control system of the road roller based on the model. Through multi-modal data fusion, graph structure modeling and multi-task collaborative prediction, real-time monitoring and dynamic regulation and control of the construction quality of the asphalt pavement are realized, the prediction precision can be effectively improved, and the monitoring efficiency and accuracy are remarkably improved.

The invention provides a full-automatic operation integrated telescope system and a control method thereof, relates to the technical field of astronomical telescope observation, and aims at solving the technical problems that traditional astronomical observation equipment is low in automation degree and high in personnel dependence. The system comprises a telescope hardware system, observation equipment and auxiliary equipment are integrated in the telescope hardware system, the telescope hardware system is provided with an external interface, and the external interface can be linked with an external system; the remote scheduling system is used for formulating all-time conflict-free observation tasks by utilizing an optimization algorithm; the automatic control system is in communication connection with the remote scheduling system and is used for generating a control instruction according to the time sequence of the observation task and scheduling the telescope hardware system to perform automatic observation through an external interface; and the safety pre-warning system is in communication connection with the automatic control system and is used for receiving the environment information and the working condition information of the telescope hardware system and carrying out judgment, pre-warning and disposal on abnormal information in the environment information and the working condition information according to a preset strategy.