2768 results about "Frequency changer" patented technology

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 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 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 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 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 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 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 relates to the technical field of data processing, and discloses a high-voltage frequency conversion and speed regulation all-in-one machine fault diagnosis method and system, and the method comprises the steps: injecting a voltage signal with a preset characteristic frequency into a frequency converter control loop, and obtaining a mixed voltage signal of the frequency converter control loop; separating a common-mode current characteristic waveform of a current signal in the mixed voltage signal in an excitation state; performing high-frequency resonance analysis on the vibration signal of the end part of the stator winding to obtain an insulation defect characteristic frequency spectrum of the end part of the stator winding; performing time-frequency domain correlation analysis on the common-mode current characteristic waveform and the insulation defect characteristic frequency spectrum to obtain an insulation defect characteristic matrix of the high-voltage frequency conversion and speed regulation all-in-one machine; performing degradation degree evaluation on amplitude change and distribution modes of characteristic frequency components in the insulation defect characteristic matrix to obtain a winding insulation degradation level of the high-voltage frequency conversion and speed regulation all-in-one machine; according to the invention, the fault diagnosis accuracy of the high-voltage frequency conversion and speed regulation all-in-one machine can be improved.

The invention provides spiral feeder and metering scale integrated equipment for improving feeding precision, and relates to the technical field of metering and feeding of powdery and granular materials. According to the integrated equipment, a frequency converter is additionally arranged on a spiral scale, so that a constant-speed spiral metering scale is changed into a speed-regulating spiral metering scale, a signal separator is introduced to divide a PID negative feedback signal output by an instrument into two paths, the two paths respectively control a frequency converter of a steady-flow spiral feeder and a frequency converter of a metering screw, and meanwhile, a speed measuring sensor is additionally arranged on the spiral scale; and synchronous double-closed-loop control is realized. The spiral scale solves the problems that when an existing spiral scale is used for metering powder, flow is unstable, and arching, jet flow, blocking and the like are prone to occurring, the dynamic deviation can be controlled within 0.5%, the feeding precision and stability are remarkably improved, and the spiral scale is suitable for metering and feeding of powdery and granular materials in the industries of cement, chemical engineering, metallurgy, ceramics, grain, transportation and the like.

The invention discloses a variable frequency motor load testing device and method, and relates to the technical field of variable frequency motor testing, and the device comprises a motor testing installation platform, a fastening T-shaped bolt, two variable frequency speed regulation asynchronous motors of the same model, a drum-shaped coupler, two inverters, a rectifier, a three-phase voltage regulator, a frequency converter and an intermediate DC link. According to the invention, two frequency conversion speed regulation asynchronous motors of the same model are coaxially connected, and the power generation electric energy of the accompanying test motor is fed back to an intermediate direct current link through an inverter, so that the cyclic utilization of the electric energy and the dual-motor structural design are realized, complex load equipment does not need to be configured, and the fixed asset investment is reduced; for motors of different models, only corresponding accompanying test motors need to be replaced, the universality is improved, through voltage and current monitoring in an intermediate direct current link and motor rotating speed and torque parameter collection, and by combining a multi-dimensional performance evaluation model, precise evaluation of the motor load performance is achieved, the test efficiency is improved, and the strict test requirements are met.

The invention discloses a heat dissipation control method, device and system based on an array chip and a medium. The method comprises the steps that the basic valve opening degree is determined based on the temperature value of any partition and a valve opening degree mapping table; determining a target valve opening degree of each electric valve based on the basic valve opening degree and a spray coverage overlapping model, and sending the target valve opening degree to each electric valve; calculating a target total flow based on all target valve opening degrees, adjusting the rotating speed of a liquid supply pump through a frequency converter, and enabling a measured value of a flow sensor to be the target total flow; determining a target pressure value based on the saturation temperature of the cooling liquid, and adjusting the power of the vacuum pump or the three-way vacuum electromagnetic valve to enable the pressure value of the evaporation cavity to be the target pressure value. According to the method, three-layer linkage logic of partition precise temperature control, system flow coordination and global pressure setting is established, scattered devices are integrated into a whole, overall adjustment of the system level is achieved during heat dissipation control, instructions do not need to be sent frequently to control each valve, and the electric energy consumption of the system is reduced.

The invention relates to the technical field of industrial compressed air system intelligent control, in particular to a digital air compression station intelligent control method and system based on AI self-learning, and the system comprises a data collection layer, an AI prediction layer, an optimization control layer and an execution layer. The data acquisition layer realizes accurate acquisition and preprocessing of multi-dimensional data through a three-stage high-precision sensor network and an edge computing node; the AI prediction layer adopts an XGBoost and LSTM mixed model to be combined with an online learning mechanism to realize accurate prediction of the gas consumption demand and the energy efficiency ratio within 1-24 hours; the optimization control layer completes air compressor operation combination optimization and pressure dynamic control based on an improved NSGA-II algorithm and self-adaptive PID adjustment; the execution layer realizes control instruction landing through frequency converter and cluster cooperative scheduling. Meanwhile, an equipment health degree monitoring module, a multi-source data fusion correction module and a waste heat-gas consumption collaborative optimization module are innovatively introduced, and the problems that a traditional air compression station is low in energy efficiency, poor in self-adaption, insufficient in prediction precision and lack of equipment management are solved.

The invention provides an electromagnetic interference motor-driven frequency converter control method and system and a medium, and relates to the field of motor control, and the method comprises the steps: collecting an electromagnetic interference signal in real time during the operation of a motor-driven frequency converter, generating interference spectrum data, carrying out the dynamic switching adjustment of the frequency converter, and generating an anti-interference modulation instruction; reconstructing a pulse waveform according to the anti-interference modulation instruction to carry out harmonic compensation, carrying out feedback verification based on the optimized driving signal, carrying out electromagnetic interference judgment according to a motor torque fluctuation value, and generating a judgment result; and triggering a parameter updating instruction based on the judgment result, and driving a frequency converter to perform adaptive control through the parameter updating instruction to generate a frequency conversion control result. The technical problem that a frequency converter control method in the prior art is limited in resistance to electromagnetic interference and affects the running stability of a motor is solved. The technical effects of improving the electromagnetic interference suppression capability and ensuring the stable and reliable operation of the motor are achieved.

The invention discloses a full-power variable-speed pumped storage unit stator winding insulation state online monitoring method, and provides a high-capacity generator unit stator winding insulation state online monitoring method which can be applied to a network side transformer neutral point ungrounded system. According to the method, an effective common-mode monitoring loop can be established, and monitoring is carried out by utilizing the third harmonic of the motor stator winding and is not interfered by the high-frequency switch harmonic of the frequency converter. In order to solve the problem that a full-power variable-speed pumped storage unit generally has large capacity and is not easy to realize online measurement, the invention provides a method for measuring on a neutral point outgoing line, which can realize online measurement of the insulation state of a stator winding when the load current is relatively large. The method is suitable for a full-power variable-speed pumped storage high-capacity unit, leakage current measurement can be carried out under the condition of large load current, and stator insulation information online monitoring is achieved.

The invention provides an energy consumption optimization method and system for mine ventilation, relates to the technical field of mine ventilation, and solves the technical problems that an existing mine ventilation system is too high in energy consumption and uneven in air distribution. The method comprises the following steps: acquiring environment data in real time through a sensor network; simulating air volume distribution in a mine by using a digital twinborn model, and inputting the environmental data into a space-time diagram convolutional network to predict a ventilation demand; performing global optimization by adopting a dynamic weight multi-objective optimization algorithm according to the air volume distribution and the ventilation demand, and generating a multi-fan cooperative control instruction; the control instruction is issued to a frequency converter and a PLC, fan rotating speed adjustment is executed, and a fault diagnosis mechanism is integrated to achieve redundancy switching; and feeding back the execution effect to the digital twinborn model for iterative optimization. The method is used for ventilation system design, operation and maintenance links in various underground mineral exploitation scenes.

The invention discloses a multi-branch industrial ventilation intelligent regulation and control system and method based on a PLC. According to the system, a closed-loop control network is formed by an infrared sensor, a wind speed sensor, a PLC (Programmable Logic Controller), an air door control cabinet, an electric valve, a frequency converter, a frequency conversion fan and an upper computer. The infrared sensor is responsible for monitoring the running state of each production line in real time. The wind speed sensor is used for detecting the wind speed in the wind pipe and verifying wind quantity balance. The PLC processes all sensor data and outputs a control instruction. On one hand, the opening degree of the electric valve is adjusted through the air door control cabinet, and on the other hand, the rotating speed of the fan is adjusted in real time through the frequency converter. The upper computer is used for system parameter monitoring, threshold setting and data interaction with the manufacturing execution system. According to the system, on-demand adjustment of multi-branch ventilation is achieved through intelligent closed-loop control, the problem of response lag of a traditional control mode is effectively solved, the dust removal efficiency and the energy utilization rate are remarkably improved, and safe and efficient operation of the industrial environment is guaranteed.

The invention relates to the technical field of frequency converter correction, in particular to a frequency converter direct-current bus correction method and system based on dynamic voltage feedback, and the method specifically comprises the steps: dynamically controlling the activation mode of a voltage sensor array according to a fluctuation state; constructing a direct-current bus voltage deviation model containing dead-zone compensation voltage and a voltage ripple frequency spectrum model containing PWM carrier sideband harmonic waves; respectively obtaining a first adjustment parameter and a second adjustment parameter; and generating a zero-sequence voltage injection instruction according to the second adjustment parameter, and implementing direct-current bus correction control by dynamically adjusting a zero-sequence voltage injection ratio. The problem that in the prior art, the system stability and the device service life are seriously restricted due to the risks of correction mismatch, harmonic amplification and even capacitor overheating of the direct current bus voltage under the dynamic working condition is solved.

The invention relates to the technical field of industrial automatic control, in particular to an air compressor circulation control system based on an LSTM deep learning network, which comprises a data acquisition unit, an LSTM prediction and decision unit, an execution control unit and an upper monitoring and interaction unit. According to the method, through multi-source data fusion, attention mechanism feature screening, LSTM time sequence modeling and reinforcement learning optimization, accurate prediction of the operation state of the air compressor and generation of the optimal control strategy giving consideration to energy efficiency and stability are achieved, control safety is guaranteed by means of digital twin virtual verification, the execution dynamic state is optimized in combination with an MPC adaptive algorithm, and the optimal control strategy is obtained. A physical execution mechanism is precisely driven through a PLC or a frequency converter, it is ensured that a control strategy is reliable, full-process supervision and knowledge graph diagnosis are achieved through visual display, an intelligent maintenance scheme is generated, man-machine interaction supports flexible operation, data storage backtracking assists analysis and tracing, and the system is high in practicability. And the intelligent level, the control precision and the operation and maintenance efficiency of operation of the air compressor are remarkably improved.

The invention discloses a marine frequency converter intelligent cooling system based on integrated modularization, relates to the technical field of ship power electronic equipment heat dissipation, and discloses the marine frequency converter intelligent cooling system based on integrated modularization. Comprising five core modules, wherein a data acquisition module is responsible for acquiring and preprocessing temperature, humidity and salt mist concentration data; the route analysis and model establishment module establishes and optimizes a model for predicting future environmental parameters by analyzing a route and applying a random forest algorithm; the threshold value calculation and optimization module calculates a dynamic threshold value in real time and continuously adjusts according to the ship speed and environmental parameters to continuously optimize threshold value parameters; the mode processing and conversion module identifies an extreme environment combination, triggers corresponding processing measures, and smoothly adjusts processing parameters and modes; and the route adjustment and safety protection module sets an intermediate value and an adjustment curve, continuously monitors the state, and automatically gives an alarm and takes measures when a fault or an abnormality occurs.

The invention discloses a variable-speed water pump energy consumption model correction method, and relates to the technical field of fluid mechanical energy efficiency optimization. The problems that an existing water pump energy consumption model is low in prediction precision and poor in adaptability due to efficiency parameter solidification, insufficient working condition data coverage and lack of dynamic correction capacity are solved. The method comprises the steps of establishing a water pump energy consumption model; acquiring wide-range water pump energy consumption and related parameters for water pump modeling at different rotating speeds; establishing a water pump efficiency model and a water pump efficiency correction coefficient model; establishing a water pump motor efficiency model and a frequency converter efficiency model; obtaining the actual operation flow and lift of the water pump, and predicting the energy consumption of the water pump by using the corrected water pump energy consumption model.

The invention provides an intelligent air flow adjusting system and method for a reciprocating compressor, and the method comprises the steps: obtaining the real-time pressure, flow and rotating speed data during the operation of the compressor, collecting the state of an air valve and the stress parameter of a crosshead pin through a sensor, and determining the specific distribution condition of the current load and compression work; after the target parameter sequence is obtained, the response time of an executing mechanism is adjusted by adopting a dynamic optimization algorithm according to the opening degree and rotating speed control of the gas flow adjusting valve, and a real-time instruction set of adjusting actions is determined; according to the real-time instruction set, a servo motor drives an air valve and a frequency converter to adjust the rotating speed, and the actual air volume adjusting result and energy consumption data of the compressor under the current load are obtained; according to the adjustment scheme of stress balance, finite element analysis is adopted to simulate the long-term change trend of mechanical wear, and stable operation parameters of the air flow adjustment system under the condition that wear is reduced are determined; and according to the optimization adjustment strategy, the operation logic of the compressor is updated by adopting a self-adaptive control algorithm, and a dynamic response instruction set during next load change is determined.

The invention discloses a grab bucket sediment grabbing control method, a grab bucket sediment grabbing control system and a grab bucket sediment grabbing control device based on torque detection, relates to the technical field of material grabbing equipment control, and is particularly suitable for accurate sediment grabbing in industries such as papermaking and sewage treatment. Dynamic judgment of sediment contact is achieved by combining torque polarity transformation and change rate threshold filtering, and the defects of dependence on visual monitoring and preset lowering depth are overcome; the system is composed of a PLC master controller, a frequency converter drive, a motor hoisting mechanism, an encoder position detection and a man-machine interaction interface, high-speed data communication and accurate control are achieved through a DP network, and safe operation of equipment is guaranteed by adopting a multi-stage safety protection mechanism; the sediment grabbing precision and efficiency are improved, equipment abrasion is reduced, unattended continuous operation is achieved, and the sediment grabbing device adapts to the complex underwater environment and has good practical value and popularization prospects.

The invention discloses a motor fault diagnosis method and system based on linkage of voiceprint features and frequency conversion parameters, and belongs to the technical field of mechanical vibration and acoustic measurement, and the method comprises the steps: obtaining the operation frequency range of a motor, dividing a feature frequency band, collecting the historical voiceprint signals of motor operation, carrying out the feature extraction, and generating a dynamic baseline threshold library; selecting a dynamic baseline threshold value corresponding to the characteristic frequency band to carry out voiceprint characteristic comparison, outputting a primary fault diagnosis result, controlling the frequency converter to execute micro-amplitude frequency sweeping in a preset frequency amplitude range, collecting a frequency sweeping voiceprint signal, and judging whether a fault continuously exists or not; and if yes, performing energy decoupling on the sweep frequency voiceprint signal, calculating to obtain real fault intensity, and generating a frequency-fault intensity mapping graph and a fault classification result. According to the method, the dynamic baseline threshold library is established, micro-amplitude frequency sweeping is executed to verify the fault continuity, frequency conversion electromagnetic interference is decoupled, the classification result is finally generated, and high-precision and anti-interference motor fault quantitative diagnosis can be achieved.

The invention provides a load balance control system of a converter tilting device and a control method thereof, and belongs to the field of converter control. The control system comprises a plurality of motors including a first motor and a second motor; the plurality of feedback encoders, the plurality of controllers and the plurality of frequency converters correspond to the plurality of motors; the motor feedback encoders are arranged on rotating shafts of all the motors and used for obtaining the first rotating speed and the second rotating speed; the master controller is used for generating an integral component and a first control reference value, and the slave controller is used for generating a second control reference value; the frequency converters are in data communication connection, the main frequency converter is used for synchronizing integral components to the driven frequency converter, and the main frequency converter and the driven frequency converter are respectively used for controlling the first motor and the second motor to execute first and second control reference values. The method is mainly used for solving the problems of overload, reverse dragging, unstable control and the like caused by non-uniform load distribution when the converter is driven by multiple motors to tilt, the tilting stability is improved, and the wear rate of equipment is reduced.

The utility model discloses a full-automatic operation control system for filter pressing, water washing and squeezing of a diaphragm filter press, which is characterized in that an inlet of a slurry liquid filter pressing pump is connected with a to-be-pressed filtrate storage tank, an outlet of the slurry liquid filter pressing pump is connected with a liquid inlet of the filter press through a liquid inlet valve V1, and an inlet of an on-machine water washing filter pressing pump is connected with an on-machine washing water storage tank; the outlet is connected with the water inlet of the filter press through a water inlet valve V3; an inlet of the squeezing water delivery pump is connected with the squeezing water tank, an outlet of the squeezing water delivery pump is connected with the filter press, the front end of the pulp filter press pump and the front end of the squeezing water delivery pump are respectively provided with the frequency converter, and the pulp filter press pump, the filter press, the on-machine washing filter press pump, the squeezing water delivery pump, the liquid inlet valve V1 and the water inlet valve V3 are respectively connected into the control cabinet. And the control cabinet is used for controlling the starting, stopping and switching of the slurry filter press pump, the filter press, the on-machine washing filter press pump, the squeezed water delivery pump, the liquid inlet valve V1 and the water inlet valve V3. According to the utility model, full-automatic start-stop switching control of filter pressing, water washing and squeezing of the diaphragm filter press in hydrometallurgy can be realized.

The invention discloses a wind power generation fault on-line detection method and system based on multi-frequency-converter cooperation, and relates to the technical field of frequency converters, and the method comprises the steps: connecting U frequency converters, and collecting real-time operation parameters; obtaining a first connection state sequence of each wind power generation assembly corresponding to a first frequency converter in the U frequency converters; traversing the U frequency converters to obtain U connection state sequences, combining with historical fault examples, setting fault feature vectors, constructing a fault diagnosis model, and performing fault reasoning; based on the fault diagnosis model, in the wind power generation topological graph, setting V health state evaluation nodes, uploading real-time operation parameters, and carrying out optimal configuration; and configuring a fault diagnosis mechanism of the U frequency converters by using the V health state evaluation nodes. The technical problems of low efficiency and poor accuracy of frequency converter fault diagnosis in the prior art are solved, and the technical effect of improving the efficiency and accuracy of fault diagnosis is achieved by monitoring and analyzing the operation state of the frequency converter in real time.

The invention relates to the field of UHPC stirring machine control, in particular to a constant-power automatic speed regulation control system and method for UHPC stirring, the operation process of a UHPC stirring machine is divided into a plurality of process stages, each stage corresponds to different frequencies, rotating speeds and operation time, accurate control over the rotating speeds is achieved, and on the premise that the power is constant, the speed regulation speed of the UHPC stirring machine can be accurately controlled. The rotating speed is flexibly adjusted to meet the requirements of different stirring stages of UHPC, the mixing quality is guaranteed, efficient utilization of energy is achieved, a constant-speed stirring machine is changed into a variable-speed intelligent stirring machine through multi-section speed control of the frequency converter, energy is saved by 30% or above, and the quality and productivity of UHPC products are remarkably improved through process-level rotating speed matching.

A control method and apparatus for a magnetic levitation compressor, an electronic device and a storage medium. The control method comprises: in response to shutdown of a magnetic levitation compressor, acquiring the rotating direction of a rotor; on the basis of the operating state of the magnetic levitation compressor and the rotating direction being the reverse direction, acquiring the rotating speed of the rotor; on the basis of the rotating speed being greater than a first threshold value and not greater than a second threshold value, acquiring a delayed levitation stop duration corresponding to the rotating speed of the rotor; on the basis of a rotation duration of the rotor reaching the delayed levitation stop duration, controlling the rotor to stop levitating; and, on the basis of the rotating speed being greater than the second threshold value, controlling a frequency converter to brake the magnetic levitation compressor. The control method does not need to use valve body members to prevent reverse rotation of rotors of magnetic levitation compressors, thus improving the control stability for magnetic levitation compressors and the operation reliability of magnetic levitation compressors.

The invention provides a performance prediction method and device based on a refrigerating machine, electronic equipment and a storage medium, and relates to the technical field of refrigeration, and the method comprises the steps that the condensation saturation temperature, the evaporation saturation temperature and the compression exhaust temperature of a refrigerating system are collected in the running test operation process, so that the saturated liquid phase enthalpy and the saturated gas phase enthalpy are determined; according to the condensation saturation pressure calculated according to the condensation saturation temperature and the compression exhaust temperature, the overheat gas specific enthalpy is determined, system refrigeration energy efficiency prediction is conducted according to the saturated liquid specific enthalpy, the saturated gas specific enthalpy and the overheat gas specific enthalpy, and the target system refrigeration energy efficiency is obtained; and performing unit performance prediction on the target refrigerator by using the target refrigeration performance model, the target system refrigeration energy efficiency, the frequency converter efficiency, the motor efficiency and the bearing transmission efficiency. According to the method, the actual refrigerating performance calculation of the refrigerating machine unit from the refrigerating cycle theory can be realized, the problem of performance prediction deviation of the refrigerating machine is effectively solved, and the performance prediction effect of the refrigerating machine is improved.