1679 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 method for realizing high-efficiency low-consumption micro-aerobic hydrolytic acidification of petrochemical wastewater by regulating and controlling the aeration rate in combination with a space-time diagram neural network and reinforced learning, and relates to a method for realizing high-efficiency low-consumption micro-aerobic hydrolytic acidification of petrochemical wastewater by regulating and controlling the aeration rate. The method comprises the following steps of: 1, collecting and cleaning data; 2, constructing a graph data set; 3, training the ST-GNN model; 4, constructing a deep Q reinforcement learning model; 5, the trained ST-GNN model is embedded into an automatic control system of a sewage treatment plant, and the model outputs the optimal aeration rate of the current time step and predicts the micro-aerobic hydrolytic acidification effect through interaction of the current working condition and historical data; and adjusting operation parameters of aeration equipment according to the output of the model, and carrying out hydrolytic acidification treatment. The method is high in regulation and control efficiency and low in operation error, and can be applied to the field of digital and intelligent management of sewage treatment plants.

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 provides an intelligent garden environment monitoring data analysis method and system. Sensors are deployed to collect temperature, humidity and other data in real time to form a data set. Analyzing an environment parameter change mode of each region by adopting a time sequence clustering algorithm, and determining characteristics and trends; and carrying out dimension reduction on the data by using a multi-dimensional scale transformation algorithm to a three-dimensional space for visualization, and generating an environment state map. And evaluating the plant fitness in combination with a plant physiological ecology knowledge base, and generating a scoring matrix to guide the preliminary layout scheme. And dynamically adjusting the layout by applying reinforcement learning, selecting an optimal scheme, and predicting a future environmental evolution path based on the optimal scheme and historical data. An automatic control system framework is constructed, a self-adaptive control algorithm is designed, intelligent regulation and control of plant layout are realized, garden management efficiency is improved, and ecological protection and sustainable development are promoted. Therefore, full-chain intelligent management from environment monitoring to plant layout optimization is realized, and the intelligent level of garden environment monitoring and management is remarkably improved.

The invention discloses an automatic control system and method based on big data analysis, and relates to the technical field of automatic control. The system comprises a data acquisition and data processing module, a data analysis and feature extraction module, a fault analysis and isolation area identification module, a real-time data analysis and event identification module and an automatic control strategy execution and fault response module. The data acquisition and historical data processing module is used for collecting historical data and log records, and screening and constructing a historical data set; the historical data analysis and feature extraction module analyzes a historical data trend and establishes a feature and event mapping relationship; the fault diagnosis and isolation area identification module identifies a fault isolation area and a key point through correlation analysis, and extracts a corresponding automatic control strategy; the real-time data analysis and event identification module obtains data in real time, extracts features and judges event types; and the automatic control strategy execution and fault response module generates a notification according to the event identification result.

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 high-efficiency ship automatic control system, and the system comprises a comprehensive control platform which carries out the unified integration of subsystems, sets a target function, and carries out the data sharing, collaborative optimization and global control among the subsystems. The intelligent sensing network module is used for collecting historical data and real-time data; the self-learning control module is used for constructing a control strategy generation model; the ship digital model module is used for constructing a digital model for simulating ship navigation so as to test different ship control strategies; the decision execution module is used for generating and executing a control instruction; and the safety monitoring module detects abnormal behaviors of the ship and gives an alarm. According to the invention, a plurality of subsystem modules can be integrated in a unified manner, data sharing, collaborative optimization and global control are realized, an optimal control strategy can be provided, the cost and risk of actual navigation are reduced, and the control precision, response speed and operation efficiency of a ship are improved.

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 present invention provides a multi-degree-of-freedom conductor depositing system for tokamak toroidal field coil winding packs, belongs to the field of development of toroidal field superconducting coils for nuclear fusion. The multi-degree-of-freedom conductor depositing system is mounted on a winding table and distributed along the contour of the toroidal field coil. The optical proximity switches detect the position signals between the winding table and the bending unit and transmit them to an automatic control system. The multi-degree-of-freedom conductor depositing system is distributed in a spiral shape from the top to the bottom from the position of the bending unit along the direction of coil winding. The conductor is deposited onto the track drive mechanism of the multi-degree-of-freedom conductor depositing device, which has a bidirectional moving and rotating function. This avoids the risk of insulation rupture due to friction between the conductor and the depositing tooling during the coil winding process. It also has the advantages of simple structure, convenient operation and high reliability.

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 present invention provides an automated control system and method for a mine ventilation system. The system comprises a precision sensor for key tunnel ventilation parameters, an automatic analysis and adjustment system for mine ventilation conditions, and a control feedback system for mine ventilation structures. The precision sensor for key tunnel ventilation parameters is used for real-time acquisition of key tunnel ventilation parameters and structure ventilation parameters of the mine ventilation system; a network solution simulation module is used for performing network solution on a three-dimensional dynamic visualization model to obtain the solved ventilation parameters; a scheme optimization decision module is used for determining an initial control scheme based on key tunnel ventilation parameters, structure ventilation parameters, and connection tunnel ventilation parameters; and based on the optimized three-dimensional dynamic visualization model, the initial control scheme is optimized to obtain a control decision scheme; and a mine ventilation structure control feedback system is used for receiving the control decision scheme and controlling ventilation equipment to perform ventilation adjustment.

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 an automatic control system and method for sludge treatment, and relates to the technical field of sludge treatment, an environment state feature vector F is collected in real time through an integrated sensor, an odor concentration prediction result vector Cpred at different time points in the future is calculated based on a dynamic odor diffusion prediction model, and then the concentration trend is predicted in combination with the prediction result vector Cpred. The decision vector D of the addition amount of the additive is dynamically adjusted, the limitation that in the prior art, addition control is conducted only depending on real-time odor concentration feedback is broken through, and the problem of addition lag is effectively solved through combination of the Gaussian plume diffusion model and the time sequence prediction method. Meanwhile, benefit index E evaluation is carried out through the adjusted concentration vector Cafter and the odor concentration change vector Gafter, so that the addition strategy is optimized based on the concentration change trend, factors such as the use cost of an auxiliary agent and the odor diffusion stability are fully considered, and the defect that the deodorization effect and the cost are difficult to balance by the addition amount in a traditional method is overcome.

The invention provides a pneumatic down-the-hole hammer automatic control system based on airflow dynamic adjustment, comprising: a sensor module for collecting monitoring data; the actuator module is used for controlling the flow and pressure of compressed air and adjusting the propelling speed and pressure of the drill rod; the control and processing module is used for carrying out data processing and intelligent control by utilizing an embedded controller and a control algorithm; the airflow dynamic adjusting module is used for constructing a geological recognition model, recognizing rock hardness and structure changes and automatically adjusting impact energy and drilling efficiency; the fault prediction module is used for constructing a fault prediction model and carrying out fault prediction and alarm; the energy consumption optimization module is used for constructing an energy consumption model, presetting an optimization target, designing an optimization genetic algorithm and calculating an optimal airflow parameter; and the man-machine interaction module is used for data display, state alarm and parameter adjustment. The drilling process can be intelligently controlled, the drilling efficiency is improved, the equipment failure rate is reduced, energy can be saved, and the system adapts to complex geological conditions.

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 discloses a large workpiece strain measuring point auxiliary positioning system and method, and the system comprises a professional software and automatic control system, and an industrial photogrammetry system, a car lifting system, a laser projection system and a three-dimensional scanning quantitative analysis system which are connected with the professional software and automatic control system. And a positioning target is arranged on the surface of the large workpiece product. According to the system, strain contact auxiliary lineation and laser guide assembly work of a large workpiece and quantitative analysis work of strain gauge pasting are achieved, the system takes a target arranged on a product as a positioning reference, the outline of a product model is extracted in a photogrammetry mode, the product model and a real object are matched and unified to the same coordinate system, and the product model and the real object are obtained. The position contour of the strain gauge needing to be pasted and auxiliary information are projected to the surface of a product through the laser projection technology, the current pasting position information can be efficiently and accurately reflected, and high-efficiency and high-precision assembly of the strain gauge is facilitated.

The invention discloses an optical frequency comb repetition frequency locking device and method based on automatic power control, and relates to the technical field of optical frequency combs, the device comprises an optical frequency comb optical system, an optical fiber length automatic control system and an automatic power control system, the optical frequency comb optical system is used for generating optical frequency comb repetition frequency, the optical fiber length automatic control system locks the optical frequency comb repetition frequency output by the optical frequency comb optical system, and the automatic power control system is used for adaptively adjusting the signal power in a corresponding link when the optical frequency comb optical power or the reference source power changes. The input power of the mixer local oscillator and the radio frequency port is maintained at the preset power; according to the technical scheme of the invention, the stability and accuracy of the input power of the radio frequency and local oscillation port of the mixer are improved, the suppression of noise in a link is enhanced, a phase-locked loop of an optical fiber length automatic control system can be maintained in an optimal working state for a long time, and the practicability of an optical frequency comb product is improved.

The invention belongs to the field of airborne electromechanics, and discloses a hydraulic mechanism heterogeneous control method and system.The method comprises the steps that hydraulic systems are divided into two groups, and on-board state signals, flight control system state signals and first hydraulic pressure and second hydraulic pressure of sub hydraulic systems are collected; giving an on-board state threshold value, a low-pressure threshold value, a hydraulic safety threshold value and a sub-hydraulic system relation table; starting and stopping automatic control is conducted on the electric pumps in the first group through the established first control logic architecture according to the data; and the electric pumps in the second group are automatically controlled to start and stop by adopting the constructed second control logic architecture through the data. The system comprises a grouping module, a control logic construction module and two control units, wherein each control unit comprises an acquisition module, a data scheduling module, a staggered starting module, an anti-overvoltage protection module and an anti-error working module. All the electric pumps are controlled through two heterogeneous logic architectures, and the control precision and safety are improved.

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 technical field of airborne electromechanical control, and discloses a redundancy automatic electric pump control method and system.The control method comprises the steps that airborne state signals, flight control system state signals and hydraulic pressure of each sub hydraulic system in a hydraulic system are collected in real time; and according to the onboard state signal, the flight control system state signal and the hydraulic pressure, an electric pump connected to each hydraulic sub-system is automatically controlled through electric pump control logic. The system comprises an acquisition module, a data scheduling module and a plurality of electric pump control modules, each electric pump control module is connected with an electric pump, and the output end of the acquisition module is connected with the input end of the data scheduling module. Automatic electric pump control logic is designed, energy consumption can be reduced by independently and accurately controlling each electric pump, single-point faults caused by failure of a control module are avoided, and flight safety is improved.

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.