32results about How to "Sensitive capture" patented technology

The embodiment of the invention provides a hydrogen purity detection method and device, equipment and a storage medium. Comprising the steps that sample gas and to-be-detected hydrogen are obtained, a Wheatstone bridge circuit is constructed based on the sample gas and the to-be-detected hydrogen, and the circuit comprises two fixed resistors and two thermistors; applying heat to the thermistor, and obtaining a resistance change value of the thermistor and a circuit output end detection value; and detecting the purity of the to-be-detected hydrogen according to the resistance change value and the detection value. The hydrogen purity is detected by constructing the Wheatstone bridge circuit and utilizing the thermal response difference of the thermistor to the sample gas and the hydrogen to be detected, and tiny resistance change can be captured, so that the detection precision and accuracy are improved. Based on a stable circuit principle and accurate resistance measurement, interference of external factors is reduced, and a detection result is more reliable. A resistance change value and a circuit output end detection value can be rapidly obtained, real-time detection of the purity of hydrogen to be detected is achieved, and a detection result is provided in time.

The invention discloses a working condition monitoring method for a sodium ion battery sodium precipitation behavior based on battery impedance analysis. The core principle of the method is based on the following points: when sodium precipitation occurs, sodium metal is deposited on the surface of hard carbon, so that the physical and chemical properties of the surface of the hard carbon can be changed; the conductivity of sodium metal is obviously different from that of a hard carbon material, so that the charge transfer resistance of hard carbon is obviously changed. In addition, the appearance of the sodium metal also causes the change of the electric double layer capacitance on the hard carbon surface; therefore, whether sodium metal begins to be separated out or not can be accurately judged by detecting the change of the charge transfer resistance and the electric double-layer capacitance on the hard carbon surface; according to the scheme, in-situ monitoring of sodium metal precipitation can be achieved under the condition that the battery structure is not damaged, the sodium metal precipitation situation of the sodium ion battery in the half-battery discharging process can be sensitively captured, and sodium metal deposition of the half battery, the full battery and the soft package battery under the actual operation condition can be monitored in real time.

The invention provides a coastal high spot monitoring green tide recognition early warning method, medium and system, and belongs to the technical field of green tide recognition early warning, and the method comprises the steps: collecting a large number of high spot monitoring shot green tide images, carrying out the JSON data labeling of the green tide contour, converting the JSON labeling into a PNG mask image, and dividing the PNG mask image into a training set, a verification set and a test set. A deep learning green tide semantic segmentation algorithm is designed, PSPNet is selected and a backbone network is replaced by ShuffleNetV2, an ECA attention mechanism and multi-scale feature fusion are added, and the problem of class imbalance is solved in combination with FocalLoss and BCELoss. And training the model by using the training data set, and updating the weight through error back propagation. And evaluating the performance by using the verification set, adjusting the hyper-parameter optimization model, and selecting an optimal model. And inputting a to-be-recognized image into the model to obtain a green tide segmentation mask, and judging whether a threshold value is exceeded or abnormal change occurs according to a segmentation result.

The invention discloses an immunodetection kit based on a bimetal nano-bomb biological probe, and relates to the technical field of gene detection, the immunodetection kit comprises a test strip and an immunoprobe, the immunoprobe is a suspension of a bimetal nano-bomb and a monoclonal antibody, and the mixing ratio of the bimetal nano-bomb to the monoclonal antibody is 0.1-0.3 mg: 5 [mu] g. The bimetal nano-bomb has a symmetrical hollow nano-bomb structure, so that the bimetal nano-bomb has excellent colorimetric and photo-thermal properties, and the detection sensitivity of salmonella typhimurium is greatly improved.

The invention discloses a multi-source heterogeneous data dynamic causal blood relationship tracing method and a related device, and belongs to the technical field of data blood relationship detection.The method comprises the steps that static blood relationship metadata and dynamic index time sequence data of aviation test data are collected, a dynamic causal blood relationship map is constructed, each edge of the map is associated with a causal strength weight, and the dynamic causal blood relationship is obtained; and reverse traceability is carried out through the dynamic causal blood relationship map, and root cause nodes causing abnormity are determined. Static consanguinity and dynamic indexes are collected, a dynamic causal consanguinity map with nodes as triads and edges carrying causal strength weights is constructed, and dynamic attributes of the map break through static relevance limitation, so that traceability can reveal state change and causal dynamics; the influence degree between nodes is quantized by introducing a causal strength weight, and the root cause is determined by combining a probabilistic reasoning model, so that the spanning from fuzzy association to quantitative positioning is realized, and the problems that the root cause positioning is fuzzy and is lack of quantitative analysis are solved.

The utility model provides intelligent cooking equipment which comprises a cooking cavity, a heating module used for heating the cooking cavity, a sound control acquisition module used for detecting cooking sound in the cooking cavity and a detection module, and the sound control acquisition module and the heating module are electrically connected with the detection module. When the heating module works, the sound control collection module detects sound signals generated in the cooking process and transmits the sound signals to the detection module, and the detection module controls the heating module to be turned on or turned off according to the sound signals collected by the sound control collection module. Specifically, a sound signal generated in the cooking process is detected through a sound control acquisition module, the cooking state of food can be monitored in real time, the problem of excessive or insufficient cooking caused by traditional timing control is avoided, the cooking quality is improved, unnecessary energy waste is avoided, and the energy utilization efficiency is improved; and the user does not need to manually adjust the cooking time or frequently check the cooking state, so that the use convenience and the user experience are improved.

The invention discloses an aerial photography small target detection method and system based on a deep neural network. The method comprises the following steps: acquiring aerial photography training set data; inputting the aerial photography training set data into a pre-constructed deep neural network for training, and generating an aerial photography small target detection model; obtaining a to-be-detected aerial photo; and inputting a to-be-detected aerial photo into the aerial photo small target detection model, and outputting a target classification result. According to the invention, through the aerial photography small target detection model, the target features in the aerial photography picture of the unmanned aerial vehicle are better extracted, and the detection precision of the small target is improved.

The invention relates to a basketball match out-of-bound detection method and system based on computer vision in the technical field of match monitoring. The method comprises the following steps: deploying a plurality of overlook camera cameras and a plurality of look-up camera cameras at a preset position of a basketball court according to a preset coverage rule; collecting identity information of each member of the teams of the two parties of the game before the game is started to obtain personnel identity information; a look-up camera is adopted to judge out-of-bound persons, and a look-down camera is combined with figure postures and basketball tracking to scientifically judge out-of-bound persons. According to the method, the out-of-bound situation can be captured in real time through the picture of the upward-looking camera, and meanwhile, the out-of-bound situation can be captured more sensitively due to the fact that the out-of-bound position is closer and the judgment precision is high; the machine position advantage of the overlook angle can bypass shielding of the bottom line, the out-of-bound condition in the range of the bottom line is directly detected, and meanwhile the out-of-bound condition is judged by directly analyzing the last ball touch record.

The invention provides an anti-interference measurement method and system for grounding grid parameters in a strong interference environment, and belongs to the technical field of grounding device parameter measurement. The method comprises the following steps: constructing a multi-physics field coupling theoretical model, and integrating a high-precision clock synchronization and wireless communication high-fidelity sensor network; phase and amplitude errors in signal transmission are effectively eliminated through an anti-interference and fidelity processing mechanism, and finally the grounding resistance and related electrical characteristics are calculated by solving a parameter equation set derived from a theoretical model. According to the invention, by constructing a multi-physics field coupling theory model and designing a high-fidelity sensing network, and combining a distributed clock synchronization technology and an anti-interference signal processing mechanism, accurate, portable and safe measurement of the grounding resistance of the tower at a strong interference power transmission line site without power failure and disconnection of a down lead is realized. According to the invention, the risk of operating high-voltage equipment and the complexity of burying the auxiliary electrode in the traditional measurement are thoroughly avoided.

The invention relates to the technical field of straightening equipment, and discloses an automatic matching straightening machine for shaft workpieces, which comprises a machine body, a plurality of linear sliding rails for a plurality of mechanisms to linearly move are arranged on the machine body, and strip-shaped tooth grooves matched with moving gears are formed in the two sides of the interior of the machine body; one side of the machine body is provided with a PLC (Programmable Logic Controller) control cabinet for calculating input shaft workpiece data information and generating a control signal, and the PLC control cabinet is used for controlling each mechanism on the machine body in an operation process. By adding and arranging the movable detection mechanism, when the shaft workpiece is straightened, the movable detection mechanism adopts a lever type detection structure, can be tightly attached to the surface of the shaft workpiece, sensitively captures bending deformation information of the workpiece, realizes accurate acquisition of deformation, avoids subjectivity and errors of manual detection, and improves the straightening accuracy of the shaft workpiece. And full-length movement detection can be realized along a linear sliding rail, all parts of the shaft workpiece are covered, and the condition of missing detection of a deformation position is avoided.

The invention relates to the technical field of engineering structure health monitoring, in particular to an electric power engineering drainage box culvert monitoring system, a construction method and a monitoring method. The monitoring system comprises a monitoring element and a data processing unit; the monitoring element comprises a strain sensor and a temperature sensor which are arranged on the inner side of a reinforcement cage of the drainage box culvert; the static leveling instrument is arranged on the concrete surface of the drainage box culvert; the single-axis clinometers are arranged on the central axis of the top plate and the side wall of the drainage box culvert; the flow velocity sensor is fixed on the internal section of the drainage box culvert through a bracket; and the strain sensor, the temperature sensor, the static leveling instrument, the single-axis clinometer and the flow velocity sensor are all connected with the data processing unit. According to the system, the technical problems of discontinuous monitoring, incomplete parameters, weak data association and the like in long-term health monitoring of the large drainage box culvert are solved, and real-time and accurate evaluation and early warning of the safety state of the box culvert are realized.

The utility model provides a battery device, a power utilization device and an energy storage device, and belongs to the technical field of batteries. The battery device comprises a battery monomer, a box body and a sensor, wherein the battery monomer comprises a first pressure relief structure; the box body comprises a frame, a second pressure relief structure, a first assembly and a second assembly; the second pressure relief structure is arranged on the frame, and the first assembly is connected with the frame and is opposite to the first pressure relief structure; the first assembly and the frame define a battery bin and an electrical bin which are arranged at an interval, the electrical bin is located on the side, close to the second pressure relief structure, of the battery bin, and the single batteries are located in the battery bin; the first assembly is provided with a first channel communicated with the battery compartment; the second assembly is arranged in the electrical bin and connected with the first assembly and the frame. The second assembly is provided with a second channel communicating with the first channel and the second pressure relief structure. The sensor is arranged in the second channel and used for collecting smoke information of the second channel. According to the invention, the sensitivity and accuracy of smoke monitoring can be improved.

The utility model provides a turning blind area vehicle magnetic sensitive audible and visual alarm device which comprises a solar module, a power supply control module, an audible and visual alarm control module, an audible and visual alarm module and a wireless magnetic sensitive induction device pre-buried on a road. An emitter is arranged in the wireless magnetic sensitive induction device, and a receiver is arranged in the sound-light alarm module; the transmitter and the receiver are subjected to channel matching; the sound-light alarm module comprises an LED lamp bead and a voice broadcast module. The sound-light alarm control module is connected with the sound-light alarm module. According to the technical scheme, the functions of automatic detection and automatic acousto-optic reminding when the vehicle passes through the turning blind area can be achieved.

According to the dynamic threshold value method and system based on the median and absolute median deviation, the median is used for replacing the average value, and compared with the average value, the median is not sensitive to an extreme value, so that the influence of noise data on a result can be effectively reduced, and the set threshold value is more stable and reliable; the improved absolute median deviation is used for replacing the standard deviation, so that the insensitivity of the median to an abnormal value is kept, and for a data set in non-normal distribution, more stable dispersion estimation is provided; besides, a dynamically adjusted threshold value coefficient is designed, the threshold value is automatically adjusted according to the characteristics of a data set, it is ensured that the change trend of data can be more sensitively captured, and meanwhile the phenomenon of false alarm or missing alarm caused by improper setting of a fixed threshold value is avoided. After the method is adopted, the short-term fluctuation and the long-term trend of the data can be reflected more accurately, and a more reliable basis is provided for decision makers.

The invention relates to the technical field of chemical monitoring, in particular to an N-methylaniline impurity online spectrum monitoring device which comprises a bottom rack, a plurality of glass boxes are evenly arranged on the bottom rack in the length direction, the glass boxes sequentially have different deflection angles, and the deflection angle difference values of the adjacent glass boxes are equal; by arranging the multi-angle deflection glass box, static and multi-angle static monitoring of N-methylaniline is realized, spectral characteristics of impurities in different directions can be effectively captured, and slow rotation of the glass box further drives the internal N-methylaniline to change angles, so that a light source can fully irradiate, and the detection accuracy is improved. Impurities possibly hidden due to local gathering are repeatedly exposed in dynamic rotation, a monitoring blind area is eliminated, the comprehensiveness of impurity detection is remarkably enhanced through the steps, and the accuracy of a monitoring result can be greatly improved especially for trace impurities which are not evenly distributed.

The application discloses a cell traction force and microenvironment pH synchronous in-situ detection method based on Raman spectrum. Gold nanoparticles solution and thiol-modified polystyrene microsphere dispersion liquid are mixed to assemble gold nano clusters; 4-thiopyridine is modified to be a SERS probe; the SERS probe is mixed with a hydrogel prepolymer solution, the surface of the polymerized hydrogel is modified with fibronectin, and the living cells to be detected are inoculated; the substrate Raman spectrum is acquired and a heat map is drawn, the probe displacement is characterized according to the heat map change, and then the cell traction force size is characterized, and the cell microenvironment pH is characterized according to the characteristic peak intensity ratio in the Raman spectrum. The application realizes the essential fusion of the traction force microscope technology and the surface enhanced Raman scattering technology from the detection mechanism level, the detection dimension is expanded to the synchronous acquisition of the mechanical and biochemical information, so that the potential force-chemical coupling mechanism in the cell behavior process can be revealed.

This invention relates to the field of fault early warning technology, and provides a method and system for early warning of faults in large oil-filled equipment, comprising: Step 1, collecting acoustic fingerprint data throughout the entire lifecycle of the large oil-filled equipment and constructing an acoustic fingerprint sample set; Step 2, preprocessing the acoustic fingerprint sample set, extracting acoustic fingerprint feature parameters, and establishing a standardized acoustic fingerprint database; Step 3, constructing a multi-channel deep learning acoustic fingerprint recognition model and a discharge severity assessment model based on deep learning; Step 4, based on the output of the trained acoustic fingerprint recognition model and combined with a preset multi-level early warning threshold system, performing real-time assessment of the operating status of the large oil-filled equipment, and generating corresponding early warning information when the assessment result meets the early warning triggering conditions; Step 5, pushing the early warning information to the operation and maintenance terminal, and automatically generating operation and maintenance suggestions based on the defect type and severity. This invention can effectively provide early warning of faults in large oil-filled equipment.

This invention provides a method and system for determining emergency transport routes. The method includes: acquiring multi-source heterogeneous data of patients to be transported during emergency transport, including vital sign time-series data, transport node location data, and structured medical record data; inputting the multi-source heterogeneous data into a shared latent space projection network to obtain multi-source aligned data with data distribution alignment; inputting the vital sign aligned data from the multi-source aligned data into a reinforcement learning controller to obtain the dynamic weights of each vital sign component in the vital sign aligned data, and determining the disease risk level of the patient to be transported based on the dynamic weights; acquiring a global path planning model trained based on a federated learning framework, and inputting the disease risk level and the multi-source aligned data into the global path planning model to obtain the target transport route. This invention improves the safety and personalization of emergency transport.

The invention relates to the technical field of equipment monitoring, and discloses a working state detection method and system for an electric leakage detection device, and a storage medium, a phase branch in a three-phase line is selected as a detected branch, a detection branch is used for short circuit or shunting, the connection point of the two branches is at one side of a zero sequence current transformer, and the detection branch does not pass through the transformer. And then controlling the detection branch to be short-circuited or shunt the detected branch for a first stable duration, if the electric leakage detection device does not have a preset electric leakage signal, sending a failure alarm prompt, and if so, outputting a normal prompt. Pulse operation is carried out in a control time period according to preset pulse frequency, pulse times and electric leakage signal triggering times are recorded, and the percentage of the ratio of the pulse times and the electric leakage signal triggering times is calculated, namely the triggering percentage. If the trigger percentage is smaller than the reference percentage, outputting a failure early warning prompt, if the trigger percentage is larger than the reference percentage, outputting a normal prompt, and adjusting the length of the control time period and the pulse frequency in a positive correlation manner according to the height. Whether the electric leakage detection circuit or device fails or not can be detected.

The invention discloses a nondestructive testing device and method for insulation performance of a locomotive converter, relates to the technical field of electrical equipment performance testing, and aims to solve the technical problem that the signal obtained by the current nondestructive testing of insulation performance of a locomotive converter contains a large number of high-order harmonics, and the signal decays quickly, and the insulation state of the converter cannot be monitored in real time. The device and method include a testing device, an image extraction unit, an image conversion unit, an image processing unit, an image storage unit, a data analysis unit, a data analysis processing unit, and a testing result output unit. The invention adopts non-contact testing, and does not require power off, corona, or pressure during the testing process. The nondestructive testing of insulation performance can be performed during the normal operation of the locomotive converter, and does not affect the normal operation of the locomotive. It is convenient to timely discover possible problems of the insulation system, avoid secondary failures caused by insulation failures, and ensure the safety and reliability of locomotive operation.

This application discloses a PCB board testing mechanism, relating to the field of PCB board testing technology. It includes a main body, a slider, and a through-hole. The main body has a placement groove on its upper side. Two sets of uprights arranged symmetrically around the center are fixedly connected to the upper diagonal of the main body. A lifting groove is formed on the inner side of each upright. The slider is slidably connected to the inner side of the lifting groove. A pressing mechanism is installed on the outside of the uprights, and a detection mechanism is installed on the outside of the slider. The through-hole is located on the upper side of the placement groove, and a heating mechanism is installed inside the main body. In a single operation, this device accurately measures the PCB thickness by pressing down with a pressure block, while simultaneously using hot air heating and real-time monitoring of pressure changes to directly determine its thermal expansion trend, achieving efficient and simultaneous detection of thickness and thermal expansion performance.

The application discloses a kind of to be implanted with data envelopment analysis and carry out ventricular assist system failure prediction method.The method is based on the weekly operation state of implantable ventricular assist system and constructs independent decision unit, obtains the original multidimensional data covering equipment, physiology and clinical dimension.After the original data are carried out missing value filling, abnormal value correction and standardization preprocessing, input by BCC model and super-efficiency DEA model constitute combination model and carry out efficiency measurement.BCC model is used to preliminarily screen out abnormal decision unit, and the optimal super-efficiency value is calculated by super-efficiency DEA model.Based on the super-efficiency value and its change trend along with monitoring period, combined with the preset two-stage early warning threshold, envelope analysis is carried out, and graded failure early warning signal is generated.Projection analysis is carried out on the unit triggering early warning, and the input index redundancy rate is calculated to sort and locate the failure cause.The application realizes early and accurate prediction and cause quantification analysis of LVAD failure.

The invention provides a light-heat-humidity flexible driver of a variable-spacing microstructure and a preparation method thereof.The light-heat-humidity flexible driver of the variable-spacing microstructure comprises an active layer and a passive layer, the active layer is a PDMS / CNTs composite film, the passive layer is a chitosan film, the passive layer is arranged on the upper surface of the active layer, and the active layer is a PDMS / CNTs composite film. The lower surface of the active layer is provided with a groove structure. The groove structure is engraved in the active layer, and the deformation capacity of the actuator can be enhanced by constructing the groove structure. By means of the structural design, deformation is more concentrated, and therefore the working efficiency and the response speed of the driver are improved.

The invention discloses a method for establishing an akafen powder identification model based on a clustering analysis method, and belongs to the technical field of drug inspection and analysis. Comprising the following steps: S1, collecting original data; s2, data preprocessing and standardization; s3, carrying out clustering analysis; and S4, model establishment and evaluation. The invention provides a method for modeling by utilizing hierarchical clustering analysis, and by setting and selecting modeling parameters such as original data, distance measurement, a linking method, cutoff parameter distance and the like, the obtained infrared qualitative analysis model of the akafen powder can be used for effectively and qualitatively identifying whether an unknown sample belongs to the akafen powder or not.

The application relates to the technical field of quality management and statistical process control, and provides a joint monitoring and abnormality diagnosis method for quality assurance claim quantity and amount. In each monitoring period, the quality assurance claim quantity of the current period is counted, and the weekly increment of the claim amount is calculated according to the claim quantity as a monitoring statistic; the benchmark parameter is determined based on historical data, the empirical distribution is generated by deducing the theoretical distribution through numerical integration or Monte Carlo simulation in combination with a compound Poisson process, and the dynamic upper control limit is determined according to the significance level; the current increment amount is compared with the control limit, and an alarm is given if the current increment amount exceeds the control limit; candidate variable points are constructed based on the data before the alarm, the abnormal time is determined through maximum likelihood estimation, the candidate models are compared through the Bayesian information criterion, and the optimal model is selected to determine the abnormal type. The joint monitoring and abnormality diagnosis problem under the conditions of highly heterogeneous product base and multiple time variations is solved, dynamic monitoring under the control of the false alarm rate of each monitoring period, abnormal time point estimation and cause identification are realized.

The invention discloses an early warning method and device for energy equipment and a computer readable storage medium. The early warning method for the energy equipment comprises the steps that monitoring information of the energy equipment is collected, and the monitoring information comprises equipment load information, equipment temperature information and equipment aging information; analyzing the monitoring information, and determining an equipment load rate, an equipment temperature abnormal value and an equipment aging degree; determining a hidden danger coefficient value through a coefficient adjustment model according to the equipment load rate, the equipment temperature abnormal value and the equipment aging degree; adjusting the initial hidden danger threshold range by using the hidden danger coefficient value, and respectively determining updated hidden danger threshold ranges corresponding to the equipment load and the equipment temperature value; and comparing the equipment load capacity and the equipment temperature value at the current moment with the corresponding updated hidden danger threshold range, and performing early warning under the condition that the equipment load capacity and the equipment temperature value exceed the updated hidden danger threshold range.

The invention discloses a nondestructive testing method and system for grouting compactness of a prefabricated bridge pier duct, particularly relates to the technical field of nondestructive testing of materials, and is used for solving the problem that an existing ultrasonic testing technology is insensitive to microcosmic nonuniformity response of a grouting material. The method comprises the following steps: transmitting a first fundamental frequency ultrasonic incident signal into a prefabricated bridge pier duct, collecting a reflection echo signal, repeatedly executing to obtain a plurality of echo signals, calculating a coherence coefficient, and judging whether the coherence coefficient is higher than a preset threshold value or not to perform macroscopic defect screening. When the coherence coefficient is higher than the threshold value, at least one second fundamental frequency ultrasonic incident signal is emitted, corresponding echo signals are collected, the waveform asymmetry coefficient of each echo signal is calculated, and finally the microcosmic non-uniformity of the grouting material is evaluated based on the variation trend of the waveform asymmetry coefficients under different fundamental frequencies. And comprehensive grouting quality evaluation from macroscopic to microscopic is realized.

The application provides a water conservancy structure leakage monitoring system and method, and the system comprises: an active heating control module, which applies a controllable thermal excitation to a grating array temperature sensing module; the grating array temperature sensing module generates a temperature distribution of a region to be measured, and the temperature distribution comprises a reference temperature distribution before the controllable thermal excitation is applied, a heating temperature distribution during the controllable thermal excitation is applied, and a cooling temperature distribution after the controllable thermal excitation is stopped; a leakage identification module, which determines a temperature-time response curve based on the reference temperature distribution, the heating temperature distribution and the cooling temperature distribution, extracts a temperature rise rate, a maximum temperature rise amplitude, a peak time, a cooling rate and a thermal time constant in the temperature-time response curve, determines a comprehensive discrimination index based on the above parameters, and determines whether the water conservancy structure has leakage based on the comprehensive discrimination index. The application improves the sensitivity and accuracy of leakage monitoring.

The invention discloses a dielectric property-based dry-type bushing capacitor core damp defect detection method, and aims to improve the accuracy and sensitivity of dry-type bushing capacitor core damp detection. According to the method, a frequency domain dielectric response test platform composed of a DIRANA dielectric response analyzer, a high and low temperature test box and a computer is built to carry out frequency domain dielectric response test on a core body. The core is to monitor the change of the dielectric loss factor (tan delta) of the core body in a low-frequency band (0.001 Hz to 0.1 Hz) under different wetting modes and degrees. Experiments show that the method shows high sensitivity in early-stage damp detection, and compared with a traditional power frequency detection method, the method can find the damp defect of the core body earlier. According to the invention, an efficient and reliable technical means is provided for damp assessment of the dry bushing capacitor core body, and the operation and maintenance level and safety of power equipment are improved.

This invention discloses a servo motor speed control method and apparatus based on predictive model optimization, relating to the field of motor control technology. The method includes: acquiring gradient data by collecting servo motor operating state data at a high sampling rate using an electrical power device; analyzing the gradient data using a pre-trained predictive model to obtain peak gradient data; outputting a predicted transient adhesion resistance value of the servo motor based on the peak data and a dynamic detection threshold; inputting the predicted resistance value into a feedforward controller to generate a feedforward control command containing a compensation torque; monitoring the servo motor's operating state and adjusting the input parameters of the PID controller according to the operating state using a fuzzy algorithm to output an initial control command; and combining the feedforward control command and the initial control command to generate a speed control command. Through the organic combination of feedforward and feedback, the servo motor can achieve faster, smoother, and more precise speed control under high speed, high load, and complex operating conditions.