4382 results about "Frequency changer" patented technology

The invention provides a control method based on differential rotation speed torque distribution, which relates to the technical field of intelligent control and comprises the following steps: performing difference calculation on an initial input quantity and a preset rotation speed instruction to generate a rotation speed deviation signal and a deviation change rate, and establishing a dynamic membership function library through a fuzzy controller; mapping the rotating speed deviation and the change rate thereof into a fuzzy language variable, performing reasoning operation according to a preset fuzzy control rule base, and outputting a frequency regulation quantity and a torque compensation coefficient of the frequency converter; and reading the generated torque compensation coefficient and shaft system torque values actually measured by the two torquemeters, calculating a dynamic difference value between the current total load torque and the target torque, establishing a torque distribution weight model according to the transmission characteristics of the differential mechanism, and generating differential torque correction instructions of the two motors in combination with the real-time rotating speed values. The control performance of differential drive is improved.

The invention relates to the field of frequency converter fault detection, and discloses a frequency converter fault prediction method and system based on machine learning, and the method comprises the steps: obtaining multi-dimensional real-time data in the operation process of a frequency converter; constructing a dynamic mapping relation to obtain a basic feature set; generating a time sequence feature vector capable of reflecting the state change of the equipment based on the basic feature set; comparing, analyzing and judging whether the equipment state deviates from a normal operation interval or not based on the historical operation data and the time sequence feature vector, and outputting a state deviation index; performing abnormal fluctuation judgment on the time sequence feature vector; extracting fluctuation amplitude and frequency characteristics of the key indexes to obtain quantitative description data of abnormal fluctuation; inputting the quantitative description data of the abnormal fluctuation into an abnormal prediction model; and generating a coping strategy and a triggering condition of the coping strategy based on the risk prediction result. The method has the advantages that the abnormal state of the frequency converter is recognized in time, and potential risks are predicted.

The invention discloses a self-adaptive variable-frequency speed regulation device based on a scraper conveyor and a control method, and relates to the technical field of automatic control, and the method comprises the following steps: collecting real-time operation data of the scraper conveyor through a data sensing module, and determining operation demand information of equipment; the evaluation calculation module sets an operation parameter interval and generates an evaluation index. And the rotating speed correlation analysis module performs rotating speed correlation analysis on the real-time data according to the evaluation indexes, constructs a rotating speed correlation list and generates a correlation learning result. And the dynamic matching module calls the frequency converter for dynamic matching to generate an output frequency parameter group. And the linkage control strategy making module executes the intelligent speed regulation control strategy and adjusts the belt speed of the scraper conveyor. The technical problems that in the prior art, due to the fact that the speed of a scraper conveyor cannot be intelligently adjusted under different load conditions, overload shutdown is caused, the energy efficiency is low, and equipment abrasion is aggravated are solved, and the technical effects of reducing energy consumption, reducing equipment abrasion and prolonging the service life are achieved.

The invention provides an automatic energy-saving control method and device for a ring cooling fan based on load feedback, relates to the field of ring cooling fans, and solves the technical problem of delay of regulation and control in an energy-saving working state. The method comprises the steps that working condition data are input into a preset powder box model, and a feed-forward air volume instruction is obtained through calculation; and inputting the working condition data into a state observer to obtain an optimal estimated temperature value. And the deviation between the optimal estimated temperature value and a preset temperature set value is calculated, and a feedback air volume compensation instruction is obtained through calculation of a feedback controller according to the deviation. And fusing the feed-forward air volume instruction and the feedback air volume compensation instruction to obtain a final air volume control instruction, and issuing the final air volume control instruction to a fan frequency converter for execution. And continuously monitoring the numerical value and the change trend of the feedback air volume compensation instruction, taking the feedback air volume compensation instruction as a prediction error signal of the powder box model, and adaptively adjusting key thermal parameters in the powder box model. The method is used in the control process of the ring cooling fan.

The invention discloses an air compressor frequency conversion and energy saving control method and system based on data analysis, and particularly relates to the technical field of air compressor control. Aiming at the problems of frequency jitter and motor instability of the permanent magnet variable-frequency screw air compressor in a high-frequency air consumption fluctuation scene, the method comprises the following steps of: acquiring exhaust pressure, air consumption flow, motor current, frequency converter output frequency and environment temperature data in real time, performing trend prediction by utilizing a data analysis model, and constructing a multi-dimensional working condition characteristic curve; a gas consumption fluctuation mode is accurately recognized, and predictive judgment is made before frequency fluctuation is about to exceed the limit; according to a prediction result, a frequency converter control strategy is dynamically adjusted, the frequency response rate is buffered in advance, an energy-saving mode is automatically triggered when the load change trend is abnormal, rotating speed control is optimized in real time, and according to the method, the operation stability and response precision of the air compressor are effectively improved, energy consumption is remarkably reduced, and the service life of equipment is prolonged; the method is suitable for the intelligent energy-saving operation requirement in a high-beat and high-precision manufacturing scene.

The invention relates to the technical field of fault diagnosis of power electronic equipment, and particularly discloses a fault analysis and diagnosis method and system for a mining high-voltage frequency converter, and the method comprises the steps: collecting the skin effect depth and parasitic parameter drift distance in real time under a high-frequency working condition through a multi-physics field sensor array; constructing three-dimensional current density distribution of the conductor based on a non-Euclidean space mesh generation technology, and dynamically correcting the equivalent resistivity of the conductor in combination with a metamaterial database to calculate a dynamic eddy current loss characteristic value; optimizing and solving the parasitic parameter time-varying evolution equation by using a quantum annealing algorithm to obtain a voltage peak sensitivity characteristic value; inputting the characteristic value into a pre-trained deep residual shrinkage network diagnosis model for multi-modal fusion analysis, and outputting a fault risk assessment result; according to the method, the problem of parasitic parameter time-varying characteristic modeling in the vibration environment is innovatively solved, and early warning of hidden faults is achieved.

The invention relates to a multi-point temperature control method and system based on intelligent temperature equalization control, and the method comprises the steps: collecting the temperature data of each region in frequency converter equipment in real time, and enabling the regions to comprise but not limited to a power module, a power module and a heat dissipation region; based on the temperature data, a deviation value between the temperature of each region and a preset target temperature is calculated through a preset analysis algorithm, and a temperature adjustment requirement of each region is generated based on the deviation value; based on the temperature adjusting requirements of all the areas, adjusting parameters of the cooling equipment are calculated through an optimization algorithm, and a corresponding control instruction is generated in combination with the load state of the frequency converter equipment; and the control instruction is transmitted to the cooling equipment, and corresponding parameters of the cooling equipment are adjusted according to the control instruction. The method has the effect of improving the temperature control precision.

The invention discloses a power monitoring regulation and control system and method used in the operation process of a ship lock miter gate, and relates to the technical field of ship locks. The method comprises the following steps: firstly, monitoring the vibration state of each structural member of the ship lock miter gate, calculating a rigidity evaluation value of the ship lock miter gate, adjusting an electric control signal of a proportioning pump according to the rigidity evaluation value, and optimizing the non-deformability of a gate body structure; secondly, the dynamic stress of the door body is monitored, the dynamic stress safety evaluation value of the ship lock miter gate is obtained, the output frequency of the motor is adjusted through the frequency converter, and structural overload can be avoided; and finally, the back pull rod prestress monitoring and adjusting module adjusts the prestress of the back pull rod in combination with the vibration state, the dynamic stress and other characteristic data, so that the stability and the structural safety of the door body are kept. Structural damage caused by excessive vibration or stress overload can be avoided, the service life of equipment is prolonged, and stable operation of a ship lock system is ensured.

The intelligent control method comprises the steps that a plurality of sensors and frequency converters are installed and used for monitoring the air temperature and humidity, the moisture content and the front-back pressure difference of a fresh air filter in real time; regulating and controlling the rotating speed of an air feeder, the rotating speed of a regeneration fan and the rotating speed of a rotating wheel through a frequency converter, obtaining sensor data under corresponding rotating speeds, and establishing an air supply quantity model, a fresh air quantity model and a rotating wheel dehumidification quantity model; the power of an air feeder, the front-back pressure difference of a fresh air filter and air parameter data are collected in real time, and the current dehumidification load is calculated according to a fan air supply amount model, a fresh air amount model and a preset formula; and selecting a preset control strategy to dynamically adjust the rotating speed of the rotating wheel, the rotating speed of the regeneration fan and the regeneration temperature according to the current dehumidification load and / or the rotating wheel dehumidification amount model so as to realize indoor humidity control. Start and stop can be automatically controlled and the dehumidification amount can be matched according to the actual wet load, excessive dehumidification or idle work is avoided, and the dehumidification efficiency is improved through multi-parameter cooperative control.

The invention relates to the technical field of variable-frequency water pump control, in particular to a variable-frequency water pump self-adaptive control method and system.The method comprises the steps that motor parameters of a variable-frequency water pump are collected, and whether the motor parameters meet preset starting threshold conditions at the same time or not is judged; under the condition that the starting condition of the motor is met, sensing information of all sensors on the variable frequency water pump is collected; the collected motor parameters and sensing information are preprocessed, filtered and denoised, and key information is extracted; calculating a motor state analysis result based on the processed motor parameters and sensing information, and performing fault diagnosis and prediction to obtain a motor state analysis result; and according to the motor state analysis result, the output voltage, frequency and phase of the frequency converter are dynamically adjusted to optimize the operation efficiency and stability of the water pump. The operation state of the water pump motor is monitored and analyzed in real time, accurate calculation and evaluation are combined, the output parameters of the frequency converter are dynamically adjusted, and efficient and stable operation of the water pump is achieved.

The invention provides a split type direct-current charging pile liquid cooling heat dissipation system, and belongs to the technical field of direct-current charging piles, a closed liquid cooling circulation system is constructed through equipment such as a liquid cooling circulation pump, a radiator assembly and a temperature sensor array, and active temperature control is realized by adopting a temperature pre-adjusting module as a core. The system firstly collects power and temperature data to establish a power heat effect function to describe a power-temperature relationship, and extracts temperature time sequence characteristics through a heat situation sensing model by adopting an improved time sequence convolutional network to configure a self-adaptive receptive field adjustment mechanism to capture different time scale change modes; and constructing a double-layer optimization framework in combination with a temperature control game model to solve a Nash equilibrium solution, and calculating an optimal cooling adjustment vector including advanced cooling time and cooling power parameters. And a change curve is generated through real-time monitoring and dynamic correction and is converted into a control instruction, the frequency converter is controlled to adjust the rotating speed of the circulating pump and the opening of the flow valve, and advanced adjustment before temperature change is achieved to eliminate response lag.

The invention relates to the technical field of variable-frequency centrifugal fans, and discloses an energy-saving optimization control method and system for a variable-frequency centrifugal fan, and the method comprises the steps: collecting a real-time parameter data set of the variable-frequency centrifugal fan through a sensor network, and carrying out the digital filtering and feature extraction, and obtaining a target feature vector; inputting the target feature vector into a trained VentNet dual-network deep neural network for prediction calculation to obtain an optimal rotating speed prediction value and an energy consumption prediction value under the current load condition; calculating control error data and inputting the control error data into a hyperbolic law of arrival controller for processing to obtain a frequency adjustment instruction of the frequency converter; the frequency adjusting instruction is sent to the frequency converter, the actual rotating speed of the variable-frequency centrifugal fan is adjusted, and the variable-frequency centrifugal fan operates in the optimal energy-saving state, real-time energy-saving optimization control over the variable-frequency centrifugal fan under different load conditions is achieved, the energy consumption amplitude is reduced, and meanwhile the stability and reliability of operation of the fan are guaranteed.

The invention relates to the technical field of variable frequency speed regulation, in particular to an automatic water pump control strategy and energy efficiency optimization method and system.The method comprises the following steps of obtaining water pump outlet flow data, calculating flow acceleration, determining the pressure gradient direction, matching the hydraulic power trend, calculating frequency instruction deviation and setting the adjustable range; lagging and current rising mark inertia disturbance, power frequency limitation is set, a compensation value is generated, the frequency rate is dynamically adjusted in combination with all factors, and the frequency conversion adjusting priority is generated. According to the method, through matching of the flow acceleration and the pressure gradient, the sensing capacity for dynamic changes of fluid is improved, frequency adjustment of a frequency converter is optimized in combination with frequency deviation calculation, energy consumption increase caused by lag is reduced, and based on correlation analysis of the motor rotating speed change rate and current fluctuation, inertia disturbance accurate recognition is achieved; the voltage compensation timeliness is improved by combining bus voltage dynamic monitoring and a reverse compression strategy, the frequency of the frequency converter is dynamically adjusted by combining multiple parameters, and the response speed and the energy efficiency are improved.

The invention discloses a frequency converter performance detection device, and relates to the technical field of frequency converters, the frequency converter performance detection device comprises a detection box, a heat-conducting fin is arranged in the detection box, and the heat-conducting fin is of a four-side square structure and forms a sealed cold and hot channel on the edge of an inner cavity of the detection box; the multiple damping shock absorbers are arranged at the bottom of the detection box; the vibration generator is arranged at the lower part of the detection box and is used for providing a vibration source for the detection box; the output end of the humidifier is communicated with the inner cavity of the detection box; and the output end of the cold-hot generator communicates with the cold-hot channel. The vibration generator, the humidifier and the cold and heat generator are arranged, the detection box is matched, multifunctional simulation of vibration, high-humidity, high-temperature and low-temperature environments in the peripheral environment is achieved, stability detection of the frequency converter under the extreme environment is achieved, and the cold and heat channel in a circulating circulation state is formed in the inner edge of the detection box; cold and hot air covers the detection box for multi-surface circulation, so that the distribution uniformity of the cold and hot air is improved.

The invention discloses a fault detection method and system for a fan frequency converter based on big data, and relates to the technical field of fault detection, and the method comprises the steps: arranging a sensor group, and obtaining the real-time operation data of the fan frequency converter; performing entity identification on the historical fault description data to obtain associated parameters of fault types; assigning an initial weight to the associated parameter of each fault type; calculating a real-time deviation ratio, a fault prediction accuracy error and a statistical deviation; calculating a dynamic adjustment coefficient obtained by real-time feedback of each sensor parameter; calculating an error index of each parameter, and optimizing a dynamic adjustment coefficient through a gradient descent algorithm; and calculating a comprehensive fault index by adopting the optimized dynamic adjustment coefficient, and establishing a hierarchical early warning mechanism. The technical problems that potential faults of the frequency converter are difficult to accurately and timely detect in the prior art, so that the operation efficiency of a fan is reduced, even serious consequences are generated, and normal production and operation are influenced are solved.

The invention relates to the technical field of electrical parameter testing, in particular to a high-low voltage frequency converter testing system which comprises a sampling point calibration module, a frequency cross-grade identification module, a current response re-sequencing module, a dynamic interference blocking module and an operation parameter output module. According to the method, the amplitude of the voltage sampling point is mapped into the trigonometric function curve, the waveform trend is deduced in combination with the amplitude change angle, a time delay calibration mechanism based on periodic trend identification is established, and the sampling point time sequence precision in different gear switching scenes can be effectively adapted. According to a combined judgment mode of the current rise rate direction and the frequency jump amplitude, a cross-cycle dynamic judgment path is constructed, a frequency jump index can be identified from a non-stable operation state, and the perception capability of a non-linear operation behavior is improved. A current response sorting reconstruction process is introduced, and the sorting matching capability of inconsistent response sequences is enhanced through cross analysis of frequency gears, current response directions and load states.

The invention belongs to the technical field of mechanical test tool equipment, and particularly relates to an electro-hydraulic speed regulator test testing device. Comprising the steps that a virtual diesel engine model generates a signal and supplies the signal to a rotating speed controller, an alternating current power supply supplies power to a frequency converter to drive a motor to operate, and the rotating speed of the motor is transmitted to an electro-hydraulic speed regulator through a first coupler to drive a main pump in the electro-hydraulic speed regulator to build pressure; a hydraulic bridge circuit in the electro-hydraulic speed regulator acts to drive the output shaft to rotate, the output shaft transmits an output signal back to the virtual diesel engine model through the flywheel, the magnetic powder brake and the angle sensor, and the virtual diesel engine model feeds back the signal to the magnetic powder brake through the brake controller; and the output torque of the electro-hydraulic speed regulator is ensured to meet the operation requirement and is confirmed by the torque sensor. The electro-hydraulic speed regulator test device has the advantages that the electro-hydraulic speed regulator test device is provided with the outer circulation oil way, and the test requirements of various electro-hydraulic speed regulators can be met.

The invention discloses a hierarchical cooperative control method for a cascaded H-bridge frequency converter, and the method comprises the steps: distributing a disturbance signal following a spiral phase coding rule for each H-bridge unit, and enabling the vector sum of the phase of the group of signals to generate a plurality of energy quasi-zero moments in a preset disturbance period through design; at the quasi-zero moment when the energy is greatly suppressed, synchronously triggering all units to perform high signal-to-noise ratio data acquisition, and accurately identifying transient parameters representing dynamic characteristics of each unit based on the acquired data; and finally, performing closed-loop adjustment on an upper-layer power distribution strategy, a bottom-layer current loop and the like according to the identified transient parameters so as to compensate the dynamic response difference of each unit. According to the method, high-precision online parameter identification can be realized on the premise of not influencing stable operation of the system, and the power balance capability and transient stability of the system are remarkably improved.

The invention discloses a remote control system for a frequency converter, and relates to the technical field of operation control of tower cranes, the system collects key data of a suspension arm or a lifting hook in real time through inertial swing monitoring points arranged by a region division module, and constructs and evaluates an inertial swing risk index IB by combining acceleration and deceleration parameters of the frequency converter and load weight changes; and generating a first control strategy to reduce the swing risk. The second alarm module further combines wind speed and dynamic load change multi-dimensional data analysis, optimizes the first control strategy, generates a second control strategy, and improves the response capability to emergencies. The compensation evaluation module dynamically evaluates the compensation precision and optimizes the control strategy by monitoring the torque and slip state of the frequency converter, thereby reducing the error and improving the system precision. In general, the safety and the stability in the lifting process are improved, and the operation risk caused by external factors such as load fluctuation and wind speed change is remarkably reduced.

The invention provides a tower crane remote real-time operation system which comprises the following modules: a remote control system is used for receiving and converting an operation signal of a handheld assembly and transmitting the operation signal to a tower crane cab monitoring system, and the tower crane cab monitoring system is used for collecting operation parameters and environment data of a tower crane in real time and transmitting the operation signal to a remote control system; the operation signal and the collected data are sent to the tower crane lifting, amplitude-changing and corner integrated frequency converter control system, and the tower crane lifting, amplitude-changing and corner integrated frequency converter control system is used for controlling the lifting, amplitude-changing and corner actions of the tower crane in real time according to the operation signal or the collected data. The intelligent interaction control module cooperates with the multi-source data fusion analysis module and the building state sensing and feedback module, tower crane data, construction area building states and associated influence parameters are comprehensively integrated, the building state sensing and feedback module monitors building deformation and stress, it is guaranteed that construction and design are consistent in combination with a BIM model, the deviation is smaller than or equal to 3 mm, and construction safety and progress are guaranteed.

The invention belongs to the technical field of permanent magnetization remanufacturing, and particularly relates to a permanent magnetization regeneration method for a waste motor of copper alloy wire processing equipment, and the method comprises the steps: disassembling a waste asynchronous motor, and reserving a case, a stator, a rotor core and a rotating shaft which are not damaged; the specifications of the air injection channels are determined according to the diameter of the rotating shaft, more than two air injection channels are arranged on the rotating shaft at equal-angle intervals, and then the rotating shaft is installed in the machine shell; the rotor core is split to obtain steel sheets, and permanent magnet grooves, magnetic isolation air grooves and air injection channel grooves are formed in the steel sheets; the permanent magnets are assembled in the permanent magnet grooves, then the steel sheets are laminated according to a first rule to obtain a rotor, and then the rotor is assembled to the rotating shaft; a rear end cover of the machine shell is removed, a heat dissipation machine cover is manufactured according to the diameter of the rear end cover, a bearing groove and an air outlet hole are formed in the heat dissipation machine cover, and then the heat dissipation machine cover is assembled to the machine shell; and a frequency converter is additionally arranged on the shell. The remanufactured permanent magnet synchronous motor manufactured by the method has better sealing performance and heat dissipation performance.

The invention discloses a frequency converter maintenance test system with a protection function, which belongs to the technical field of frequency converter testing and comprises a detection seat, a simulation unit for simulating actual working conditions of a frequency conversion control panel is arranged on the detection seat, and a detection mechanism for detecting a diode in the frequency conversion control panel is further arranged on the detection seat. Through dynamic cooperation of the polarization assembly and the rotary simulation disc, the vibration direction of the vibration source can be flexibly adjusted, so that a multi-dimensional vibration scene possibly encountered in actual work of the frequency conversion control panel is covered, and the problem that vibration source simulation is lacked in a traditional frequency converter testing process is solved; an elastic supporting environment of actual installation is simulated through the air bag spring suspension, vibration energy emission distortion caused by rigid fixation is avoided, the accuracy of a large-capacitance vibration fatigue test is improved, automatic step-by-step wiring operation of detection is achieved through cooperation of the detection driving assembly and the universal test meter, and the overall detection wiring efficiency is improved.

The invention discloses a control method and system of a frequency converter system and a storage medium, and relates to the technical field of frequency converter control, in the step S1, environment parameter data information, harmonic data information and interface signal data information are obtained in real time, and the real-time performance and accuracy of data are ensured; in the step S2 and the step S3, an environment interference index Zgr, an electromagnetic interference degree index Zdc and an interface signal quality inspection index Zxj are obtained through feature extraction, analysis and calculation, a control period deviation index Zkq is obtained through fitting, the control period deviation index Zkq is compared and analyzed with a preset deviation threshold value P, a corresponding deviation level is obtained, and early warning display and debugging are carried out; according to the method, three key factors including environmental interference, electromagnetic interference and interface signal quality are introduced and quantified, the influence of the three key factors on the control period is evaluated, the control period deviation of the system is more accurately diagnosed and adjusted, the accurate control and reliability of the frequency converter in a complex environment are remarkably improved, and the actual application requirement is better met.

The invention relates to the technical field of boiler tail gas treatment, in particular to a boiler tail gas multi-pollutant cooperative control system based on linkage of a PLC and a frequency converter. The system comprises a data acquisition module, a PLC control module and a collaborative optimization module. Concentration data of pollutants in boiler tail gas are collected in real time through the data collection module, the boiler tail gas is introduced into the desulfurization and denitrification tower through the inlet induced draft fan, the PLC control module sets driving rules of the inlet induced draft fan through a logic controller of a PLC, the operation frequency of the inlet induced draft fan is dynamically adjusted according to the content of the pollutants in the boiler tail gas, and the desulfurization and denitrification effect of the boiler tail gas is improved. And the collaborative optimization module returns the tail gas which does not reach the standard to a boiler for secondary desulfurization and denitrification, the tail gas which reaches the standard is introduced into a dust removal tower through an outlet induced draft fan, the electric dust removal voltage is adjusted according to the content of ammonia gas in the tail gas, and linkage control over desulfurization, denitrification and dust removal is achieved by taking the minimum operation cost as the target and adopting a genetic algorithm.

The invention relates to the technical field of coal mine mechanical equipment, and discloses a frequency converter control method based on state detection and load adaptive adjustment, which comprises the following steps: when a starting command is waited after a frequency converter is shut down, calling an event at the last moment and shutdown data to judge whether a control strategy is adjusted in next starting; after the frequency converter receives the starting command, the output rotating speed, the torque and the current value are monitored in real time to trigger abnormal starting identification; if the stator resistance changes, the identification parameters are stored, and then the normal starting mode is executed; if the stator resistance is abnormal, a frequency converter fault is output; if the stator resistance does not change, self-adaptive chain clamping identification is carried out according to the output rotating speed, the torque and the current value, self-adaptive adjustment is carried out on the frequency converter in the chain clamping state, and a normal starting mode is executed after chain clamping is removed. According to the invention, dynamic adjustment can be carried out according to load changes and specific abnormal conditions, so that the stability and reliability of equipment are improved.

The invention provides a combustion control method and system suitable for Zhundong coal anti-coking, and relates to the technical field of combustion control, and the combustion control method comprises the following steps: determining combustion characteristic parameters of Zhundong coal; based on the combustion characteristic parameters of the Zhundong coal, establishing a combustion mathematical model of the Zhundong coal combustion process; the optimal combustion parameters of the Zhundong coal under different combustion working conditions are obtained through the combustion mathematical model, the three-dimensional numerical solution of the Zhundong coal in the combustion and coking process in the hearth is obtained through numerical simulation on the basis of the optimal combustion parameters, all the combustion parameters are optimized, and the optimal matching scheme for preventing coking combustion is obtained; the operation parameters of the combustion system and the coal pulverizing system are automatically adjusted, the opening degree of electric adjusting valves on a primary air pipe and a secondary air pipe is adjusted, the rotating speed of an air blower is adjusted through a frequency converter, the coal feeding amount and the primary air temperature of the coal pulverizing system are adjusted, and precise control and anti-coking optimization of the east Junggar coal combustion process are achieved.

The invention provides an intelligent management method and system for global environmental control heat dissipation of a wind power plant, and is applied to the technical field of data processing. According to the application, wind power plant equipment operation and environment parameters are obtained, a global environment control sensing module is used, a core equipment state is monitored by means of multi-sensor fusion, and an equipment-environment association model is constructed to obtain a preliminary heat dissipation demand; an intelligent heat dissipation regulation and control module optimizes a strategy to generate a precise control instruction; the frequency converter fault-free management module dynamically adjusts parameters to form fault-free management information; coordinating equipment linkage through a joint optimization strategy to generate a global environment control scheme; and finally, the operation efficiency evaluation module outputs evaluation information containing efficiency and a safety coefficient, so that intelligent management of heat dissipation of the wind power plant is realized.

The invention provides a self-adaptive variable-frequency speed regulation control method for a belt conveyor, which comprises the following steps: acquiring current material loading capacity data through a weight sensor, comparing the current material loading capacity data with a preset standard loading capacity to obtain a deviation value of the loading capacity, and controlling the feeding speed of a feeding device according to the deviation value. The loading capacity of the conveyor is maintained within a reasonable range by adjusting the loading speed of the materials; the speed sensor is adopted to obtain current belt speed data, the current belt speed data is compared with a preset standard speed to obtain a speed deviation value, the output frequency of the frequency converter is controlled according to the size and positive and negative of the deviation value, and the belt speed is maintained within a reasonable range by adjusting the rotating speed of the motor. The control strategy can be automatically optimized according to different working conditions, belt tension and speed fluctuation are effectively reduced, stable operation of the conveyor in a complex and changeable environment is ensured, and conveying efficiency and safety are improved.

The invention discloses a high-voltage frequency converter driving load shaft system torsional resonance monitoring method. The method comprises the following steps: arranging an encoder on a shaft system to collect shaft system rotating speed information in real time; inputting the encoder signal into a rotating speed acquisition and processing module in a frequency converter master control system so as to process the encoder signal into a signal format which can be identified by a storage and calculation chip of the frequency converter master control system; inputting the processed encoder signal into a torsion angle calculation and analysis module in a storage calculation chip so as to carry out shaft system torsion angle calculation and torsion angle harmonic analysis; and according to the calculated torsion angle amplitude condition, a torsional vibration alarm module in the storage calculation chip gives an alarm. As a further scheme of the invention, the encoder is an electromagnetic pulse encoder. The method can be used as an online monitoring and alarming means for torsional vibration of a high-capacity fan and water pump load variable-frequency driving shaft system, the problems of system shutdown and the like caused by irreversible fatigue damage of the shaft system due to hidden torsional vibration of the shaft system are solved, and the implementation cost is low.

The invention provides an intelligent control system and an intelligent control method of a bridge girder erection machine, and relates to the technical field of bridge construction application, the intelligent system comprises a plurality of variable frequency controllers which are respectively installed on a front support and a middle support, a front crown block and a rear crown block, and a rear support, the variable frequency controller controls the rotating speed of the transverse moving motors of the front support and the rear support, the rotating speed of the walking motors of the front crown block and the rear crown block and the rotating speed of the front and rear running motors of the middle support and the rear support according to a control instruction of the PLC control system. The rotating speed of the motor is controlled through the frequency converter, so that the left-right moving synchronism of the front support and the middle support of the bridge girder erection machine is effectively controlled, the walking synchronism of the front crown block and the rear crown block on the left and right wheels on the track is effectively controlled, and derailment caused by inconsistent speeds of the wheels on the two sides of the track is avoided.