862 results about "Fan-in" patented technology

The invention discloses a fan multi-mode fault diagnosis method based on voiceprint feature and vibration data fusion. The method comprises the steps that S1, voiceprint signals and vibration signals generated in the fan operation process are synchronously collected through a plurality of sensors; s2, preprocessing the collected voiceprint signal and the vibration signal; s3, fusing the preprocessed voiceprint signal and vibration signal through a feature level weighted fusion algorithm; s4, performing coarse-grained fault screening under a multi-level framework; s5, performing fine-grained fault diagnosis under a multi-level framework; s6, after the fine-grained fault diagnosis is completed, the system outputs a corresponding fault early warning signal according to the type, the specific part and the severity of the fault; and S7, the system dynamically adjusts the fault diagnosis model by monitoring the running state and the fault condition of the fan in real time. According to the method, the fault type of the fan can be accurately identified, the severity of the fan can be evaluated, and the overall intelligent level and the real-time response capability of a fault diagnosis system are improved.

The invention discloses a fan operation real-time dynamic adjustment control method and system based on environmental data. The method comprises the steps that multi-dimensional dynamic parameters of the environment where a fan is located are collected in real time based on a distributed sensor network; constructing a dynamic coupling prediction model, inputting the dynamic coupling prediction model into a bidirectional verification module based on multi-dimensional dynamic parameters, and obtaining an environment state prediction matrix in a future time window; based on the environment state prediction matrix, a combined adjustment instruction set of the fan pitch angle, the yaw angle and the generator torque is obtained, and the instruction set comprises main strategy parameters and an emergency tolerance interval; based on an incremental learning mechanism, model parameters are dynamically updated according to the deviation between actual environment parameters and predicted values, and the updating period is adaptively adjusted along with the change of turbulence intensity. The method has the advantages that accurate prediction and optimal control of the fan in a complex environment are achieved, the limitation that a traditional data driving model lacks physical interpretability is broken through, and the running stability and efficiency of the fan are improved.

The invention discloses an inner draught fan control method and device, equipment, a medium and a computer program product, and relates to the technical field of inner draught fans, and the inner draught fan control method comprises the steps that a historical reward value obtained after an inner draught fan executes a first state adjustment action of the last time step is obtained; the first state adjustment action is an action determined based on an empirical value in a previous preset empirical value table; on the basis of the historical reward value and the environment state of the inner fan in the current time step, an empirical value in a previous preset empirical value table is updated; and based on a target empirical value corresponding to the environment state of the current time step in the updated current preset empirical value table, controlling the inner fan to execute a second state adjustment action of the current time step so as to adjust the current state parameter value of the inner fan to a target state parameter value corresponding to the target empirical value. By introducing reinforcement learning, the inner fan can continuously interact with the environment and accumulate experience, so that the optimal control scheme under different working conditions is learned, and the self-adaptive control of the state of the inner fan is realized.

The invention provides a distributed data path combination equivalence verification method and a distributed server, and the method comprises the steps: carrying out the rewriting of two to-be-verified data path circuits, and obtaining two circuit description files with similar circuit structures; constructing a Miter circuit according to the circuit description file; random logic simulation is carried out on the Miter circuit to obtain internal potential equivalent nodes, and the internal potential equivalent nodes are stored in an equivalent node queue; selecting potential equivalent node pairs from the equivalent node queue, extracting fan-in cones of the potential equivalent node pairs, and constructing a sub miter circuit according to two groups of fan-in cones; selecting a verification mode according to the density degree of the XOR block in the sub-miter circuit, and verifying the sub-miter circuit; if verification succeeds, the corresponding potential equivalent nodes and the corresponding fan-in cones are combined, otherwise, other potential equivalent node pairs continue to be verified until verification of all potential equivalent nodes is completed; and the SAT solver is used for executing final equivalence verification and returning a verification result, so that the equivalence verification of the data path combination is efficiently realized.

The invention discloses a hybrid nonlinear floating fan hydrodynamic load coupling calculation method. The method comprises the steps of obtaining a velocity potential of a wave field in a computational domain through OceanWave3D numerical simulation (a wave field calculation model), and performing post-processing to obtain wave field data; dividing an instantaneous wet surface according to the six-degree-of-freedom motion, calculated based on an OpenFAST (floating fan calculation model), of the floating fan in each time step, and performing pressure integration to obtain a Front-Krylov force; updating the hydrostatic stiffness matrix according to the real-time position change of the buoyancy center of the fan, and calculating hydrostatic restoring force; linear radiation force and diffraction force are calculated through time domain convolution of frequency domain data, nonlinearity of the radiation force and the diffraction force is considered based on an instantaneous wetting volume change coefficient, and hydrodynamic load and structural motion response calculation in the current time step is completed after the OpenFAST is coupled. According to the method, coupling calculation between the open source code OpenFAST and OceanWave3D is achieved, and compared with commercial software at the present stage, the method is more accurate in wave load calculation under the extreme wave sea condition.

The invention provides a blade clearance value and imbalance real-time monitoring method and device based on an RTK technology, and relates to the technical field of wind generating set monitoring. The method comprises the following steps: acquiring position coordinates and elevation information of RTK monitoring equipment on the top of a fan cabin and position coordinates and elevation information of RTK monitoring equipment on three blades of a fan by adopting an RTK technology; analyzing the correlation among the clearance distance, the elevation difference and the horizontal distance in the rotating process of the three blades of the fan; according to the mutual relation of the clearance distance, the elevation difference and the horizontal distance, the clearance distance of the three blades of the fan in the rotating process is calculated through a sampling statistics mechanism method; and according to the clearance distance, the balance state among the three blades of the fan is obtained. According to the invention, the clearance distance of the blade at each rotation position and the balance state of the impeller can be monitored in real time.

The invention provides an anti-surge control method. The anti-surge control method comprises the following steps: acquiring historical data of a surge point; inputting the historical data of the surge points into the to-be-trained model to obtain an anti-surge model; based on the anti-surge model, determining an anti-surge line of the fan; the anti-surge line is generated by translating the abscissa of the surge line of the fan in the anti-surge coordinate system rightwards by a first preset unit and translating the ordinate downwards by the first preset unit; the real-time fan inlet flow and the real-time fan total energy head of the fan are obtained, and the real-time working condition point of the fan is determined; whether the real-time working condition point is located below an anti-surge line or not is judged, and if not, the opening degree of an anti-surge valve is adjusted to 100%; if yes, the anti-surge opening degree and the anti-surge valve opening time are determined based on the real-time working condition point, the anti-surge valve is opened according to the anti-surge valve opening time, the anti-surge valve is controlled to operate at the anti-surge opening degree, and the problem that the position area where the working condition point of the draught fan is located cannot be accurately and automatically adjusted at present is solved.

The invention discloses a fan operation abnormal vibration monitoring method and system based on multi-sensor fusion, and relates to the technical field of fan operation monitoring, and the method comprises the following steps: deploying a plurality of types of sensors on a fan, collecting the data of each sensor in real time, carrying out the synchronous processing of the sensor data through employing an IEEE1588 protocol, carrying out the preprocessing through combining wavelet denoising, and carrying out the monitoring of the abnormal vibration of the fan. Extracting feature data by using a principal component PCA combined independent component ICA analysis method; according to the method, multiple types of sensors are deployed on the fan, the actual conditions of the offshore wind field are considered, fine processing and feature extraction are carried out after multi-source signals are collected in real time, the abnormal vibration condition of the fan in the coastal or offshore wind field under the complex environment is accurately monitored and reliably recognized, and therefore the early abnormal features of fan operation can be captured in time; normal changes and real fault anomalies caused by environmental factors are effectively distinguished, and early discovery of faults is further realized.

The invention relates to the technical field of case server management, in particular to a case server management method and system, and the method comprises the following steps: carrying out the weighted processing of an obtained abnormal comprehensive image value, a color deviation comprehensive mean value and an environment influence total coefficient, and obtaining a cooling fan efficiency coefficient; and judging whether the running heat dissipation state of the case server is in a normal state or not according to the heat dissipation fan efficiency coefficient. According to the method, possible problems of the fan can be found in advance through analysis of the state of the cooling fan, the fan is maintained in time, the blockage degree of the air inlet and the air outlet is accurately judged through multi-angle image analysis and color deviation comprehensive value calculation according to the blockage condition of the cooling holes, and therefore the blocked cooling holes are cleaned in time, and the service life of the cooling fan is prolonged. The analysis of the operation environment data of the case server and the calculation of the environment influence coefficient are beneficial to the real-time monitoring of the influence of the environment on the heat dissipation of the server.

An electronic control device includes a base, a first fan and a second fan provided on one surface, a plurality of first heat-dissipating fins provided on the one surface in a first region including a region between first and second fans such that the plurality of first heat-dissipating fins are provided in the region between the first second fans, and a plurality of second heat-dissipating fins provided on the one surface and in a second region. The plurality of first heat-dissipating fins guide a refrigerant sent by one of the first and second fans toward a remaining one of the first and second fans in the first region, and the plurality of second heat-dissipating fins provided in the second region have a structure for guiding a refrigerant flowing in from the first fan or the second fan away from the first fan and the second fan.

The invention relates to the technical field of air conditioners, in particular to a defrosting system and method of a finned heat exchanger and an air conditioner outdoor unit. The defrosting system of the finned heat exchanger comprises a fan parameter monitoring module, a defrosting module and a control module, wherein the fan parameter monitoring module is configured to monitor the power variation of a fan in real time; and the data processing module is configured to analyze the power variation of the fan so as to judge whether the finned heat exchanger is frosted or not and perform defrosting operation. According to the scheme, the defect that it is difficult to accurately predict and respond to the actual frosting condition when an air conditioning system judges the frosting opportunity in the related technology is overcome, the frosting condition is accurately judged, the mistaken defrosting operation process is reduced, and then defrosting is conducted in time.

An electronic apparatus includes: a chassis; a heat generating element provided in the chassis; and a cooling module that is provided in the chassis and cools the heat generating element. The cooling module has: a heat diffusion member that absorbs and diffuses heat from the heat generating element; and a pair of fans that are placed with the heat diffusion member located therebetween, and have discharge ports provided only in side surfaces facing each other, thereby making it possible to discharge air toward the heat diffusion member. The chassis has an outer wall that extends along a placement direction of the pair of fans and has an exhaust port formed therein, and the exhaust port is positioned between the pair of fans in the case where the placement direction is taken as a reference.

The invention relates to a performance evaluation method for an ACE (Adaptive Cycle Engine) and electronic equipment. The method comprises the following steps: acquiring a to-be-evaluated ACE complete machine zero-dimensional simulation model, an adaptive fan high-fidelity simulation model, and working conditions and control rules of the to-be-evaluated ACE complete machine zero-dimensional simulation model; coupling the obtained models to obtain an ACE multi-dimensional coupling simulation model, and operating under the obtained working condition and control rule to obtain the ACE performance to be evaluated and the performance of each component in the ACE performance; according to the ACE multi-dimensional coupling simulation model, characteristic curves in an ACE complete machine zero-dimensional simulation model are adopted to represent characteristics of different ducts of a self-adaptive fan in the ACE complete machine zero-dimensional simulation model, and based on the difference of simulation results between the ACE complete machine zero-dimensional simulation model and the self-adaptive fan high-fidelity simulation model, the self-adaptive fan high-fidelity simulation model is obtained. The method is obtained after coupling is realized by continuously iteratively adjusting the scaling factor of the characteristic curve, so that the simulation precision of the self-adaptive fan is improved, and the overall performance evaluation accuracy is improved.

The invention belongs to the technical field of flue gas acid making, and particularly discloses an acid making fan outlet pressure soft measurement method based on LSTM (Long Short Term Memory), which comprises the following steps of: performing cleaning, down-sampling and normalization processing on fan inlet and outlet pressure original data; based on a time sequence analysis technology, extracting input features in the preprocessed data; an LSTM network is adopted to establish a soft measurement model, and long-term dependence characteristics in a time sequence are captured through a gating mechanism; performing training optimization on model hyper-parameters through grid search; and the model evaluates and predicts the performance by using the data of the test set, deploys the qualified model to an industrial control system, and predicts, regulates and controls the outlet pressure of the acid making fan in real time. According to the method, soft measurement and LSTM are combined, long-term dependency and dynamic change information in a time sequence are extracted, weighting processing is carried out on different scale features to improve prediction precision, real-time prediction of multi-step variables is achieved, and the method has the advantages of being high in prediction precision, high in timeliness and low in hardware cost.

The invention discloses an intelligent management device, method and equipment for a cable trench heat dissipation system, and belongs to the technical field of electric power facilities. The device comprises a working state identification module which is used for identifying whether the exhaust fan in the cable trench is in a working state or a stagnation state; the temperature change data acquisition module is used for acquiring action segments of the exhaust fans and acquiring temperature change data of the action segments corresponding to the exhaust fans; the cooling effect determination module is used for correspondingly inputting the working parameters of the exhaust fan and the temperature change data of the action segment into a preset algorithm model, and determining the cooling effect score of the exhaust fan for the action segment; and the exhaust fan updating module is used for determining the exhaust fan as the exhaust fan to be replaced under the condition that the value is lower than the set value, and determining parameter information of the replaced exhaust fan according to the working parameters of the exhaust fan. According to the technical scheme, heat dissipation intelligent management of the cable in the cable trench can be improved, the operation safety of the cable is improved, and the service life of the cable is prolonged.

The present invention belongs to the technical field of fan hoisting, and specifically relates to a high-power fan hoisting control system and method based on a narrow site in a low-temperature environment. By collecting environmental data of the construction site, including real-time temperature and parameters related to temperature such as humidity and wind speed, the present invention constructs a high-precision temperature prediction model to achieve accurate temperature prediction of the construction environment. Based on this temperature prediction, the present invention can not only dynamically adjust the hoisting power parameters, but also intelligently plan and optimize the hoisting path by avoiding low-temperature sensitive areas in the hoisting path, ensuring efficient operation under low-temperature and narrow-site conditions. This comprehensive management method significantly improves the safety and efficiency of operation under extreme environmental conditions, effectively avoiding the decline in power system performance and operation errors caused by low temperature.

The invention relates to the technical field of wind driven generators, in particular to a wind power plant fan power distribution method and device, computing equipment and a computer readable storage medium. The method comprises the following steps: acquiring operation data of a fan, load data of a component and a material SN curve of the component; according to the load data and the material SN curve of the part, the accumulated fatigue damage and the residual life of the part are obtained; according to the operation data of the draught fan and the accumulated fatigue damage and the residual life of the parts, the accumulated fatigue damage, the residual life and the unit fatigue damage power of the draught fan are obtained on the basis of a preset weight value; and based on the current power target of the wind power plant, performing power distribution on the fans of the wind power plant according to the accumulated fatigue damage of the fans, the residual life of the fans and the unit fatigue damage power of the fans. The power distribution of the fans in the wind power plant is carried out based on the unit fatigue damage power, and the unit fatigue damage power is comprehensively considered, so that the service life balance of all the fans and the maximization of the generating capacity of the wind power plant are realized.

The invention relates to a fan protection method and device, an air conditioner and a computer storage medium, and the method comprises the steps that in response to a matching starting instruction, a current-limiting current value matched with a fan is determined; in response to the matching ending instruction, setting a current limiting point in a preset overcurrent protection process as a current limiting value matched with the fan; wherein the overcurrent protection process is used for controlling the fan to act, so that the working current value of the fan is smaller than the current-limiting current value specified by the current-limiting point; the working current value of the fan is detected in real time, and whether the working current value of the fan is larger than or equal to the current-limiting current value specified by the current-limiting point or not is judged; and under the condition that the working current value of the fan is greater than or equal to the current-limiting current value specified by the current-limiting point, triggering an overcurrent protection process. Through the technical scheme provided by the invention, the current-limiting current value matched with the fan can be determined for different fans, and the universality of fan overcurrent protection can be effectively improved.

Provided are a structure capable of protecting an air intake portion from entry of water droplets or the like, and an electronic device including the structure. The electronic device includes: a housing which is a box-shaped container having an open upper surface, configured to house an electronic component and a fan for blowing air downward, and provided with an air exhaust hole; an inner lid to be attachable and detachable at a position at which an opening of the housing is closed, and provided with an air intake hole upstream of the fan in an air-blowing direction; and an upper lid provided to overlap the inner lid, and facing, from above, a surface provided with the air intake hole with a gap therebetween.

The invention relates to the technical field of computers, and provides a server fan fault processing method and device, equipment and a medium. The method comprises the following steps: distributing a corresponding heat dissipation area for each fan based on the position of each fan in the server, and establishing a binding relationship between the heat dissipation areas and the fans; monitoring the target signal and determining a fault fan in the server based on the target signal; a target heat dissipation area corresponding to the fault fan is positioned based on the binding relation, and the current temperature of the target heat dissipation area is collected; and comparing the current temperature with a temperature threshold value, and determining a fault processing strategy executed on the target heat dissipation area based on a comparison result. According to the scheme, when the fan in the server breaks down, the system is prevented from directly executing the shutdown operation, the interruption of server running is effectively reduced, and the running stability of the server is guaranteed.

The utility model relates to the technical field of optical fiber communication, in particular to a multi-core optical fiber fan-in and fan-out device based on a multi-core optical fiber and a PLC (Programmable Logic Controller) technology, which comprises a PLC chip, a first array substrate and a second array substrate, and is characterized in that the first array substrate and the second array substrate are respectively positioned on two sides of the PLC chip; a multi-core optical fiber is arranged on the first array substrate, a plurality of single-core optical fibers are arranged on the second array substrate, the multi-core optical fiber is coupled with the input end of the PLC chip, and the single-core optical fibers are coupled with the output end of the PLC chip; wherein the number of fiber cores of the multi-core optical fiber is the same as that of the single-core optical fibers; the PLC chip is provided with optical waveguides, and the number of the optical waveguides is equal to the number of fiber cores of the multi-core optical fiber and the number of the single-core optical fibers. The multi-core optical fiber fan-in and fan-out device based on the multi-core optical fiber and the PLC technology is simple in manufacturing process, low in cost and suitable for large-scale production and application.

The invention provides a method, device and equipment for determining the installation position of a fan. The method provided by the invention comprises the following steps: performing heat dissipation simulation on an initially designed server to obtain heat dissipation simulation data; according to the positions of a plurality of heat concentration areas in the heat dissipation simulation data, alternative design positions of a ventilation wall and alternative design positions of all fans in the ventilation wall are determined; according to the alternative design position of the ventilation wall, the installation range of the ventilation wall is determined, and according to the alternative design position of each fan in the ventilation wall, the installation range of each fan in the ventilation wall is determined; determining a plurality of heat dissipation schemes based on the installation range of the ventilation wall and the installation range of each fan in the ventilation wall; testing the heat dissipation performance of the server under each heat dissipation scheme; and determining a final heat dissipation scheme from the plurality of heat dissipation schemes. According to the method provided by the invention, the mounting position of the fan can be accurately determined.

The invention discloses an improved fan speed control optimization method, which belongs to the technical field of PID (Proportion Integration Differentiation) control optimization and comprises the specific steps of S1, constructing a fan speed control system; s2, improving a hyperbolic sine and cosine optimization algorithm; s3, performing parameter optimization on a PID controller module of the fan speed control system by using an improved hyperbolic sine and cosine optimization algorithm, and obtaining a group of optimal values of control parameters Kp, Ki and Kd under a set number of iterations; s4, inputting a group of optimal control parameters obtained through optimization in S3 into a PID controller module, and adjusting the speed of a fan to reach a target rotating speed by controlling a motor driving module; the PID controller parameters of the fan speed control system are optimized through the improved hyperbolic sine and cosine optimization algorithm, so that the control precision and robustness of the system are improved, and the adaptive capacity of the fan in different controlled scenes is enhanced.

The invention discloses a multi-fan operation system and a self-adaptive control method and device. The method comprises the steps that operation state data of fans are collected in real time through a sensor assembly; if the data fluctuation amplitude in the operation state data is greater than a first preset threshold value, performing Kalman filtering processing on the operation state data to obtain first prediction data; if the data fluctuation amplitude in the first prediction data is greater than a second preset threshold value, inputting the first prediction data into the radial basis function network model to obtain second prediction data; and the second prediction data are sent to a PID controller, PID controller parameters are adjusted through a particle swarm algorithm, and the target rotating speed in the fan running process is obtained. Through integration of the Kalman filtering technology radial basis function network model and the PID controller, accurate state estimation, dynamic modeling prediction and real-time adaptive control of the multi-fan system can be realized, complex working conditions such as wind speed and load fluctuation can be effectively handled, and the overall performance of the system is improved.

A fan coil for a single unit in a multi-unit building has hot and cold riser stacks. Heating and cooling closed loop fluid flow paths thermally connect the fan coil in thermal communication with the hot and cold riser stacks, respectively. The fan coil has a housing that houses heating and cooling heat exchangers in thermal communication with the heating and cooling closed loop fluid flow paths, respectively. A fan in the housing may draw ambient air through the fan coil. In a heating mode, the air collects heat from the heating heat exchanger and in a cooling mode, the air is cooled by the cooling heat exchanger. The heated or cooled air exits the fan coil and enters a room.

The invention provides a logic code quality inspection method and device, a server and a storage medium, and is applied to the technical field of computers. According to the method, after logic synthesis of an integrated circuit is completed, starting point registers and end point registers of all time sequence paths in the integrated circuit are extracted; counting the number of rear-stage fan-out registers and the number of front-stage fan-in registers of each register, obtaining a register number threshold value corresponding to the integrated circuit, and if the number of the front-stage fan-in registers or the number of the rear-stage fan-out registers corresponding to any register is larger than the register number threshold value, determining that the logic code of the integrated circuit is abnormal. Compared with the prior art in which the quality of the logic code is detected after layout and wiring are completed, the method provided by the invention can detect the quality of the code after logic synthesis is completed, can complete the quality detection of the logic code as early as possible, effectively avoids the situation that the logic code is found to be abnormal after all physical designs are completed, and improves the design efficiency.

The invention discloses a heat dissipation control system, method and device, a medium and a program product in the technical field of computers. According to the invention, the heat dissipation control module in the master control node is in network connection with the slave management controller in any cabinet node; therefore, the heat dissipation control module obtains equipment operation information of at least one piece of computing equipment in the corresponding cabinet node through the slave management controller in any cabinet node, operation risk prediction data is obtained according to the equipment operation information, and a fan regulation and control strategy corresponding to the operation risk prediction data is configured to the slave management controller; and the slave management controller performs rotating speed control on the fans around the at least one computing device according to the fan regulation and control strategy. Therefore, temperature risk prediction is carried out in time according to the actual operation condition of the computing equipment, and accurate heat dissipation control is carried out on the fans in the area where the corresponding computing equipment is located, so that the master control node can predict the temperature and heat dissipation condition of each cabinet node, and heat dissipation early warning and management and control of each cabinet are realized.

A system uses a trained machine learning model to predict a likelihood of failure of telecommunications network equipment housed in equipment boxes. The model can be configured to receive, as input, (1) air temperature in an environment proximate to the equipment and (2) attributes of fans in the equipment boxes. The system monitors a set of equipment boxes using the model by processing the received measurements of air temperature and attributes of fans to predict likelihoods of failure of the monitored equipment boxes. Network performance associated with equipment housed in the monitored equipment boxes is observed. Upon detecting the observed network performance of telecommunications network equipment within a target equipment box is below a performance threshold and detecting the predicted likelihood of failure of the target equipment box is below a failure threshold, the model is retrained based on an error value associated with the predicted likelihood of failure.

The invention provides a heat dissipation control method and electronic equipment, and relates to the technical field of computers. The method comprises the following steps: based on respective initial weights and first target rotating speeds of a plurality of target fans for a first component in the electronic equipment, controlling the plurality of target fans to dissipate heat of the first component, so that the temperature of the first component is in a target range. Performing at least one reduction processing on the first initial weight of the at least one target fan, and determining a first total power consumption of the plurality of target fans in the predetermined time period after the previous reduction processing and a second total power consumption of the plurality of target fans in the predetermined time period after the current reduction processing; and under the condition that the second total power consumption is greater than or equal to the first total power consumption, taking the weights of the plurality of target fans determined after the previous reduction processing as first target weights of the plurality of target fans, so that under the condition that the plurality of target fans are controlled to operate based on the first target weights and the first target rotating speed, the second total power consumption is greater than or equal to the first total power consumption. The temperature of the first component is within a target range.

The invention relates to the field of wind power plant control systems, and particularly discloses a new energy electric field frequency modulation control system, which comprises a data acquisition module used for acquiring operation data of each fan in a wind power plant in real time and acquiring power grid frequency information; the fan characteristic analysis module is used for analyzing operation characteristics of each fan under different working conditions and establishing a fan power-wind speed model and a comprehensive operation characteristic model; and the power calculation and distribution module is used for calculating frequency modulation power required by the wind power plant according to the power grid frequency deviation and the operation characteristics of the fan and distributing the frequency modulation power by adopting an optimization algorithm. According to the new energy electric field frequency modulation control system, through accurate fan characteristic modeling and comprehensive consideration of various factors, a more accurate fan nonlinear operation characteristic model is established, the accuracy of power calculation is greatly improved, and frequency modulation power calculation errors caused by complex fan operation characteristics are effectively reduced.