349results about How to "High frequency" patented technology

The invention discloses a data monitoring and processing method based on dam stability, and relates to the technical field of dam monitoring, and the method comprises the following steps: arranging sensors: arranging high-precision sensors, such as a strain gauge, a displacement meter and the like, at key positions according to the structural characteristics of a dam; comprehensively analyzing the structure of the dam; according to the method, the high-precision sensors are arranged at key positions of the dam, real-time acquisition of dam stability parameters including strain, displacement, pressure, temperature and the like is achieved, the real-time data acquisition mechanism remarkably improves the monitoring frequency and continuity, the real-time performance and the accuracy of data are ensured, and compared with traditional regular manual inspection, the real-time monitoring accuracy is improved. According to the invention, more accurate and continuous monitoring data can be provided, so that the stability state of the dam can be evaluated more effectively.

The invention discloses a target detection tracking method and system based on automatic detection, and relates to the technical field of target detection tracking, and the method comprises the following steps: carrying out the target position and category labeling of an image through a labeling tool based on an image data set of a typical target, and obtaining a training data set with a label, establishing a target detection model according to a YOLO architecture, and introducing a dynamic weighted loss function; according to the training data set, a training batch is generated by using a hierarchical sampling strategy, an optimized training sample is obtained through an online difficult case mining mechanism, and iterative training is performed on the target detection model based on the generated training batch and the optimized sample; and performing target detection on the real-time video stream by using the trained target detection model to obtain the tracking position and category information of each frame. According to the method, the problem of class imbalance can be effectively solved, the detection capability of rare targets is improved, and meanwhile, the overall performance of the model is improved through difficult case mining.

The invention relates to the technical field of intelligent traffic, in particular to an intelligent road cone traffic early warning system. The problems that in the prior art, an intelligent road cone is single in function, and warning strategies cannot be intelligently adjusted according to real-time road conditions and construction environment changes are solved. The intelligent road cone is arranged and used for being deployed on a road construction or accident site to warn vehicles, collecting road environment information through a sensor and conducting risk assessment and early warning on the vehicles according to the detected vehicle information; the control center is used for integrating the monitoring information of the intelligent road cones and dynamically adjusting a placement scheme and an early warning strategy of the intelligent road cones; and the user terminal is used for receiving the early warning information from the intelligent road cone and the control center and sending an alarm to a user. Through cooperation of the intelligent road cone, the control center and the user terminal, effective safety early warning and guidance are ensured to be performed on vehicles passing through the construction area during construction, accident risks are reduced, and traffic management efficiency is improved.

The invention provides a data acquisition method and device based on a multi-order queue and electronic equipment, and the method comprises the steps: obtaining production data generated by industrial control equipment; according to the acquisition frequency, the production data is distributed to each level queue of the multi-level queue, the queue number of each level queue is adjusted according to the real-time data volume of each queue in each level queue, and each level queue is used for caching the production data of different acquisition frequencies; according to a data packaging strategy, the production data in the multi-order queue is packaged, and the data packaging strategy comprises a timing packaging strategy and a quantitative packaging strategy; and uploading the packaged production data to an industrial Internet of Things platform. Production data acquisition is performed through the multi-order queue, so that the processing pressure of a single queue can be effectively relieved, the data transmission frequency is reduced, and the resource consumption is reduced, thereby improving the efficiency and reliability of data acquisition.

The invention discloses a disturbance level-based active frequency support control method and device for a wind turbine generator. The method comprises the following steps: S1, constructing a system frequency response model considering the frequency modulation response of a grid-following type wind turbine generator; s2, determining identification thresholds of frequency disturbance levels of different degrees through the system frequency response model in combination with operation parameters of the power system; s3, based on the identification threshold values, according to the maximum frequency change rate when the power disturbance occurs to the system, the disturbance degree grade of the system under the current disturbance is judged; and S4, selecting a corresponding control strategy to participate in system frequency modulation according to the current disturbance degree grade of the system and the operation state of the wind turbine generator, so that the wind turbine generator actively supports the system frequency. The system disturbance degree and the operation state of the wind turbine generator are comprehensively considered, the standby power and the rotor kinetic energy of the wind turbine generator are fully called, the active frequency supporting capacity of the wind turbine generator is effectively improved, the method is easy to implement in engineering, and the safety and stability of power grid operation are guaranteed.

The invention relates to a near-electricity construction operation safety early warning method and system, and belongs to the field of near-electricity construction operation equipment early warning, and the method comprises the steps: scanning a power transmission and transformation project construction site through three-dimensional laser, and forming a high-precision laser point cloud three-dimensional data model; quickly dividing an electrified body and a non-electrified body in the three-dimensional laser point cloud model, and carrying out attribute hooking on the safe distance range and the electrified body; rTK positioning sensors are installed on an operator and a construction machine, and high-precision real-time positioning and spatial distance measurement of the operator and the machine are achieved through Beidou RTK; real-time space distances between operators, machines and electrified bodies are monitored on the basis of a safety distance detection algorithm, reminding in different modes such as safety warning and prohibition warning is set according to requirements of safety operation regulations, and it is ensured that the operators, machines and the like keep enough safety distances from the electrified bodies.

The invention discloses an abnormal battery cell identification method, computer equipment and a computer readable storage medium, and belongs to the technical field of power batteries, the identification method comprises the following steps: obtaining voltage data of a plurality of battery cells, and calculating a voltage drop of each battery cell under a standing condition based on the voltage data; for each battery cell, polymerizing the voltage drops under the plurality of standing working conditions in a first preset time period to obtain a polymerization result; and identifying an abnormal battery cell from the plurality of battery cells based on the aggregation result of each battery cell. The abnormal battery cell data is identified by using the outlier degree of the voltage drop of the battery cells in the battery pack under the standing working condition, the data validity is good, the identification result accuracy is high, and the use safety of the battery pack is ensured.

The invention discloses an underwater thruster permanent magnet propeller capable of reducing cavitation noise, and relates to the technical field of propellers, the underwater thruster permanent magnet propeller comprises a mounting plate, a propeller body and a fairing; mounting holes are formed in the mounting plate, the mounting plate is fixedly mounted on the underwater propeller through matching of bolts and the mounting holes, a main shaft is rotationally connected to the middle of one end face of the mounting plate, the fairing is fixedly connected to one end face of the mounting plate, and the propeller body is fixedly mounted at the end, away from the mounting plate, of the main shaft. The vibration reeds are installed on the inner wall of the flow guide cover, the vibration reeds can vibrate at a high speed through vortexes generated by the cavitation bubbles, and therefore the cavitation bubbles large in size are scattered into a larger number of small cavitation bubbles, the noise decibel generated by the larger number of small cavitation bubbles is lower than the noise decibel generated by the large cavitation bubbles when the larger number of small cavitation bubbles are broken, and the frequency is higher than the noise decibel generated by the large cavitation bubbles when the larger number of small cavitation bubbles are broken. Due to the fact that the wavelength of the high-frequency noise is short, the high-frequency noise is easy to absorb and scatter, one part of the high-frequency noise is directly absorbed by the flow guide cover, and the underwater environment can restrain propagation of the high-frequency noise.

The invention discloses a photovoltaic equipment networking control method and system, and relates to the technical field of photovoltaic power generation, when the system runs, a data acquisition module ensures high-precision current signal acquisition, and a digital signal processing module removes noise and enhances signal quality through low-pass filtering and convolution operation; the signal conversion module comprehensively analyzes frequency spectrum information by using FFT (Fast Fourier Transform), and the data analysis module extracts harmonic components, calculates a total harmonic distortion rate THD and provides an accurate filter adjustment scheme; the regulation and control module calculates a power factor Pf and a flash variable Fb, comprehensive power quality evaluation is carried out in combination with THD, it is ensured that the system operates in the optimal state, and the system effectively solves the problems that in traditional photovoltaic equipment networking, current signal collection precision is low, signal processing is unstable, harmonic distortion is difficult to monitor, and power quality is difficult to comprehensively evaluate. And the power output quality of the photovoltaic equipment and the reliability and economic benefits of the whole power system are remarkably improved.

The invention discloses a dry-type transformer testing device, and relates to the technical field of testing devices, the dry-type transformer testing device comprises a workbench and a transformer main body, the transformer main body is installed on the workbench, the transformer main body is provided with a wiring terminal, and one side of the workbench is provided with a testing assembly for testing the transformer main body. According to the dry-type transformer testing device, when the brush is in contact with the outer wall of the wiring terminal and rotates, dirt, dust or other impurities on the outer wall of the wiring terminal can be effectively cleared away, through the clearing work, the insulation resistance tester body can check and measure the wiring terminal more accurately, and the testing efficiency of the dry-type transformer is improved. Therefore, potential connection problems, corrosion or abrasion and the like can be found easily, misjudgment or missing detection is avoided, and after interference factors of dirt and impurities are eliminated, the accuracy and reliability of a detection result can be improved.

The invention discloses energy-saving high-pressure cleaning equipment for square and rectangular pipes, and relates to the technical field of high-pressure cleaning, the energy-saving high-pressure cleaning equipment comprises a main body frame, a cleaning module is mounted above the main body frame, a rotational flow collaborative cleaning mechanism is arranged in the cleaning module, and the rotational flow collaborative cleaning mechanism is used for changing a water flow mode to ensure internal and external water flow collaborative high-pressure cleaning; the introduced air conveying bin only surrounds the outmost periphery of the nozzle, air flow flows along spiral water flow on the outmost periphery of the nozzle after being discharged in a vertical flowing mode, through the design, the peripheral water flow obtains additional momentum under the action of wind power, and then the momentum is transmitted to the internal water flow through collision among fluid molecules; according to the process, redistribution of energy is achieved, energy of internal water flow is supplemented, and water flow impact force borne by the peripheral square and rectangular pipes and the internal square and rectangular pipes is more balanced through the effect of wind power on the peripheral water flow and transmission of the energy to the internal water flow.

The invention discloses a grinding structure of a horizontal sand mill. The grinding structure comprises a rotor and a grinding cylinder, a grinding block is arranged on the outer wall surface of the rotor; the rotor is arranged in an inner cavity of the grinding cylinder; the side face, facing the first end of the inner cavity, of the grinding block and the side face, facing the second end of the inner cavity, of the grinding block are each provided with an oval first protrusion. A first included angle is formed between the orientation of the first bulge and the radial direction of the rotor, and the first included angle is 15-75 degrees; a plurality of elliptical second bulges are arranged on the inner wall surface of the grinding cylinder; a second included angle is formed between the orientation of each second bulge on the inner wall of the grinding cylinder and the axial direction of the grinding cylinder, and the second included angle is 20-70 degrees; a third included angle exists between the orientations of each pair of axially adjacent second bulges on the inner wall of the grinding cylinder, and the included angle between the angular bisector of the third included angle corresponding to at least one pair of axially adjacent second bulges and the circumferential direction of the grinding cylinder is smaller than 10 degrees. According to the invention, the collision frequency of a grinding medium and a material can be improved, and a better grinding effect is achieved.

The invention relates to the technical field of unmanned aerial vehicle inspection, and discloses an automatic planning system for an unmanned aerial vehicle inspection task in a limited space. Comprising a task planning and scheduling module, an environment modeling and sensing module, a flight control module, a data acquisition and processing module, a communication and data transmission module, an intelligent analysis and decision module and a user interface and interaction module. According to the unmanned aerial vehicle inspection task automatic planning system in the limited space, through mutual cooperation of multiple modules and acquisition and analysis of use environment data, the automatic planning system can enable an unmanned aerial vehicle to automatically take off, execute an inspection task and safely land according to a preset task, and manual real-time control is not needed, so that the manpower demand is greatly reduced; and the inspection efficiency and frequency are improved.

The invention discloses a carrier three-dimensional diffusion microscopic imaging system based on two-photon excitation, and belongs to the technical field of microscopic imaging. The light is transmitted according to the light transmission sequence; the device is composed of a wavelength-adjustable femtosecond optical device, a full-automatic optical parameter amplifier, a first achromatic lens, a pinhole, a second achromatic lens, a first diaphragm, a first fully-polished reflector, a two-dimensional galvanometer, a scanning lens, a sleeve lens, a dichroscope, an objective lens, a piezoelectric displacement sample table, a focused white light source, a second diaphragm, a beam splitter, a third achromatic lens and a second diaphragm. The device is composed of a first achromatic lens, a second achromatic lens, a third achromatic lens, a fourth achromatic lens, a camera and a detector, and the MAPbI3 or MAPbBr3 crystal is placed on a high-precision piezoelectric displacement sample table as a semiconductor sample. The position of the excitation light beam on the surface of the sample is continuously changed by rotating the galvanometer, and the fluorescence emitted from the same position on the surface of the sample can be detected by using the detector, so that the three-dimensional diffusion process information of closure elements in the sample under the action of the excitation light beam is obtained, and the diffusion rule of the sample is revealed.

The invention discloses a pulse blowing and cleaning device for a spinneret plate. The blowing and cleaning device comprises a first bearing seat, an air supply assembly, a first blowing assembly, a second blowing assembly and an elastic part, wherein the first bearing seat can generate linear displacement; at least part of the air supply assembly is arranged on the first bearing seat; according to the device, through organic combination of all the components, pulse type blowing of the spinneret plate is achieved, the blowing angle of blowing airflow can be changed, and the blowing effect is improved; the operation is simple, the second bearing seat and the third bearing seat are in butt joint and fit through external force, then the air source is started to realize automatic purging and cleaning, the purging efficiency is high, the purging effect is good, the blown impurities cannot be dissipated everywhere, the utilization rate of the air source is high, the purging height can be adjusted, and the practicability is high. The device is suitable for blowing and cleaning spinneret plates of different specifications.

The invention relates to the technical field of data analysis, in particular to an experience degree analysis method for an offline experience scene, and the method comprises the steps: obtaining the stay duration and interaction times of a target; identifying a to-be-monitored area and a temporary monitoring area; abnormal interaction is recognized, and the grid step length is adjusted; obtaining an experience score of the interactive device; the grid step size and the acquisition interval are adjusted to improve the experience score. According to the method, the behavior change of the target can be more flexibly adapted by dynamically adjusting the grid step length and the acquisition interval, so that the accuracy and the real-time performance of data acquisition are improved, the fluctuation condition of target experience can be acquired in different time periods based on analysis of historical data, a powerful basis is provided for subsequent site optimization and equipment improvement, and the method is suitable for popularization and application. According to the method, the exhibition attraction can be increased, scientific decision support is provided for venue managers, the exhibition effect is continuously optimized and improved finally, and the problem that exhibition experience output is fuzzy due to insufficient interaction data analysis is effectively solved.

The invention provides a Kyber and SM3 fused post quantum cryptography encryption system, method and device. The control logic module controls the execution round number of SM3 in the Hash module according to the random number length required by the NTT module in different modes; the interception unit intercepts the effective length of each round of hash value; the filling unit fills the input message of each round of SM3; the Hash module determines the number of rounds required to be executed by the SM3 according to the lengths of the hash values required by different modes, and intercepts the effective length of each round of hash value; the NTT module is used for calculating polynomial multiplication in the Kyber algorithm; the NTT module comprises a butterfly unit and a control unit, the butterfly unit is used for calculation of modular addition, modular subtraction and modular reduction, and the control unit determines an operation mode of the NTT module; and the sampling module comprises a sampling rejection unit and a central binomial distribution sampling unit, the sampling rejection unit is used for sampling to obtain a public matrix, and the central binomial distribution sampling unit is used for sampling to obtain a noise vector. The scheme meets the safety standard of China and is reliable in safety.

The invention discloses an unmanned aerial vehicle low-altitude visual angle target detection method and device based on deep learning, and belongs to the technical field of computer vision. The method comprises the following steps: performing data enhancement on a collected target detection object image data set, and dividing the enhanced target detection object image data set into a training set, a verification set and a test set; an attention mechanism module is added in a backbone network of the YOLOV7-OBB model; the YOLOV7-OBB model is trained based on the training set, the YOLOV7-OBB model in the training process is evaluated based on the verification set, and the trained YOLOV7-OBB model is obtained; and inputting the test set into the trained YOLOV7-OBB model, and carrying out target detection to obtain a detection result. By enhancing a target detection object image data set and adding an attention mechanism module, the YOLOV7-OBB model fully learns key feature information of a target, and the detection precision and robustness are remarkably improved.

The invention relates to a remote visual remote-control automatic inspection device for highway maintenance operation, and relates to the technical field of intelligent monitoring of traffic safety facilities, and the remote visual remote-control automatic inspection device comprises a rack which is used for being hung on a guardrail of a high highway, the rack is provided with a camera shooting system and a sensor system which are used for data acquisition and transmission, and further comprises a data processing and analyzing system and an alarm and notification system which are connected to the camera shooting system; the anti-falling walking mechanism is arranged on the rack and comprises a walking assembly and a strong wind prevention assembly, the anti-falling walking mechanism has a walking inspection mode and a strong wind prevention mode, and when the anti-falling walking mechanism is in the walking inspection mode, the walking assembly is started; and when the anti-falling walking mechanism is in the strong wind prevention mode, the strong wind prevention assembly is started. The method has the effects of carrying out comprehensive coverage monitoring in a certain span region and improving the inspection efficiency and the inspection quality of road inspection.

The invention relates to the technical field of embryo culture platforms, in particular to a microfluidic-AI monitoring-metabolism regulation embryo culture platform and a preparation method thereof.The microfluidic-AI monitoring-metabolism regulation embryo culture platform comprises a microfluidic culture system used for achieving embryo culture, metabolite removal and culture medium replacement; the artificial intelligence monitoring system is used for remotely monitoring the embryonic development state in real time and predicting the embryonic development condition; the metabolism regulation and control system is used for feeding back and optimizing culture conditions online according to an artificial intelligence monitoring result and a metabolite analysis result; the intelligent control module is electrically connected with the micro-fluidic culture system, the artificial intelligence monitoring system and the metabolism regulation and control system, and the micro-fluidic culture system can accurately control the culture environment on the micrometer scale, including temperature, pH value and gas composition parameters. The dynamic fluid environment is closer to the in-vivo physiological environment of the embryo. The system can simulate periodic nutrient supply and metabolic waste removal in the uterus, and provides optimal growth conditions for embryos.

The invention relates to the technical field of advertisement putting, in particular to a digital advertisement system. The system comprises a data acquisition preprocessing module, a deep learning model reasoning module, a scene adaptation decision module, a dynamic frequency adjustment module and a performance monitoring and feedback circulation module. The data acquisition preprocessing module collects and cleans multi-dimensional user behavior data in real time, and ensures high-quality data input; the deep learning model reasoning module constructs and updates a context sensing map, captures the instant demand and complex context relationship of the user, and provides an accurate personalized recommendation basis; and the scene adaptation decision module intelligently judges the instant state of the user in combination with the real-time context information, and determines the optimal advertisement display opportunity. According to the method, a context perception map technology is introduced into a deep learning model reasoning module, so that accurate capture of instant behaviors of a user and a complex context relationship is realized, and the instant behaviors and the complex context relationship are efficiently associated, and therefore, more personalized and timely advertisement contents are provided.

According to the out-of-focus holographic measurement method of the radio telescope based on planetary zooming, a planet is used as a source for out-of-focus observation, a beam pattern of an actually observed planet is obtained through deconvolution, a theoretical far-field model of the planet is established, and the theoretical far-field model of the planet is compared with the actually observed beam pattern to calculate a redundancy value. And continuously updating the coefficient of the Zernike polynomial by minimizing the redundancy value and iterating until the optimal phase model is determined, and determining the phase error on the aperture plane according to the phase model. According to the out-of-focus holographic measurement method, the planet is introduced to serve as a radio source, the measurement precision and stability are improved, the real-time measurement effect and the multi-frequency calibration capability are enhanced, the calibration accuracy and the overall performance of the Tianmar radio telescope are remarkably improved, many limitations of a traditional surface type measurement method are solved, and the measurement precision and the measurement stability are improved. For example, the measurement speed is slow, additional hardware equipment is needed, the influence of weather is large, and the application range is limited.

The invention discloses a plastic product cleaning device and a drying system, and relates to the technical field of plastic recycling and cleaning, the plastic product cleaning device comprises a cleaning pool body, stirring shafts are symmetrically and rotatably connected between the inner walls of the cleaning pool body, the two ends of each stirring shaft penetrate through the cleaning pool body, and the plastic product cleaning device further comprises a stirring and stirring mechanism, a circulating filtering mechanism and a filtering and replacing mechanism; the stirring and stirring mechanism and the circulating filtering mechanism are driven by a stirring shaft, when the circulating filtering mechanism is used and cleaning liquid penetrates through a T-shaped pipe and passes through a filtering disc, the circulating cleaning liquid can be filtered through blocking of the filtering disc, and impurity particles floating on the surface of the cleaning liquid can be filtered through the filtering disc; the situation that floating impurities are possibly attached to the surface of the plastic being cleaned again is avoided, meanwhile, the saturation speed of the cleaning liquid is reduced, and therefore the replacement frequency of the cleaning liquid is reduced, the cost is saved, the cleaning work efficiency is improved, and the adaptability during cleaning liquid extraction is improved.

The invention discloses an acid-making process using hydrogen sulfide waste gas and waste sulfuric acid, and relates to the technical field of acid-making processes, and the acid-making process specifically comprises the following steps: step 1, high-temperature reaction and gas generation, step 2, gas purification and conversion, a demister and a spraying assembly are used for removing dust, impurities and harmful substances in the gas; and step 3, sulfur trioxide absorption and sulfuric acid preparation. According to the acid-making process using the hydrogen sulfide waste gas and the waste sulfuric acid, the absorption slurry is sprayed out through the nozzle to be in countercurrent contact with the gas mixture, physical absorption and chemical reaction are combined, dust, impurities and other harmful substances in the gas mixture are effectively removed, and the gas purification efficiency is improved; the nozzles at the upper end and the lower end are used for spraying and cleaning the corrugated plate, it is ensured that the corrugated plate is always kept clean, system efficiency reduction caused by blockage or pollution of the corrugated plate is reduced, and the operation efficiency and stability of the whole system are improved.

The invention discloses a chlorophyll content inversion method, system, equipment and medium, and relates to the field of chlorophyll content quantitative inversion, and the chlorophyll content inversion method comprises the following steps: processing leaf spectrum data by using a fractional order derivative to obtain fractional order derivative data; performing continuous wavelet transform processing on the leaf spectral data by using a Gaussian second derivative to obtain wavelet energy coefficients of multiple scales; according to a required wave band capable of reflecting the chlorophyll content, finding out fractional order derivative data and a wavelet energy coefficient under the corresponding wave band; inputting the fractional derivative data corresponding to three wavebands in the required wavebands into a three-waveband vegetation index model to obtain a three-waveband vegetation index; inputting the selected wavelet energy coefficient into a vegetation index model corresponding to the required wave band to obtain a vegetation index; according to the evaluated three-waveband vegetation index model and vegetation index model, the chlorophyll content is obtained through inversion. The accuracy of chlorophyll content analysis can be improved.

The invention belongs to the technical field of wireless communication and terminals, and relates to a signal generation method and device and a communication system. The method comprises the following steps: carrying out DFT (Discrete Fourier Transform) pre-coding or LS (Least Squares) optimization on waveforms to be processed with different phases to obtain frequency domain signals corresponding to the waveforms to be processed; wherein the to-be-processed waveform is generated by processing a to-be-approximated binary keying signal OOK waveform generated based on a low-power wake-up LP-WUS signal; and obtaining a target frequency domain signal with the same frequency domain bandwidth as the LP-WUS signal based on the frequency domain signal. According to the method and the device, a plurality of to-be-processed waveforms with different phases can be generated according to the to-be-approximated OOK waveform corresponding to the LP-WUS signal, and frequency domain repeated mapping is performed on the to-be-processed waveforms with different phases, so that the frequency diversity gain of the LP-WUS signal is improved, the LP-WUS signal has relatively high anti-fading capability, and the detection rate and the detection accuracy of the LP-WUS signal are improved.

The invention discloses an inertia and damping adaptive VSG control method based on neural network optimization. The method comprises the steps that S1, a VSG rotor motion equation is obtained through equivalent conversion; s2, introducing a speed regulator into the active power-frequency control loop to obtain a VSG reactive power-voltage control equation; s3, performing circuit model equivalence on the VSG grid-connected system to obtain an output active power equation, and obtaining a relation between inertia and damping; s4, analyzing power angle characteristics and angular frequency oscillation under a disturbance condition, and summarizing an inertia self-adaptive mechanism; and S5, establishing an artificial neural network, analyzing and predicting frequency and voltage changes of the power grid, and adjusting weight values to realize self-adaptive adjustment of inertia and damping. According to the inertia and damping adaptive VSG control method based on neural network optimization provided by the invention, the inertia and damping of the system can be cooperatively adjusted, the frequency is stabilized, the overshoot is reduced, and the method has faster response time in the aspect of recovering to a stable state.

The invention discloses a power grid frequency cooperative control method and system. The method comprises the steps that a first target model is established, wherein the first target model at least comprises one or more sets of traditional units, wind turbine units or energy storage systems; establishing a target function and a constraint condition based on a first improved algorithm controller; and solving the first target model according to the target function and the constraint condition. According to the method, the advantages of reinforcement learning can be utilized, the control strategy is continuously optimized through interactive learning of the intelligent agent and the environment, and the adaptability and robustness of the power grid are improved. By setting the environment and the intelligent agent based on the Markov decision process, the actual power grid operation condition can be simulated, the intelligent agent can effectively deal with various load disturbances through learning and decision making, and stable operation of the power grid is guaranteed.

A parking air conditioner refrigeration control method comprises the following steps that when an air conditioner is started, voltage change data of a battery are obtained; determining the start-stop state of the engine based on the voltage change data; starting and stopping states of the engine, wherein the starting and stopping states comprise a running state and a stopping state; acquiring temperature difference between the temperature inside and outside the vehicle, and adjusting the frequency of the air conditioner compressor based on the temperature difference and the start-stop state. According to the method, the start-stop state of the engine is judged according to the voltage change data of the battery, when the engine is in the running state, power can be continuously supplied to the battery, at the moment, the situation that the vehicle cannot be normally started due to consumption of starting of the air conditioner is avoided, and therefore the frequency of the compressor can be increased quickly; therefore, the temperature in the vehicle is quickly reduced.

Amide conductive lubricating grease with low friction and low contact resistance belongs to the technical field of conductive lubricating grease, the conductive lubricating grease comprises basic conductive lubricating grease and composite conductive lubricating grease, the basic conductive lubricating grease is formed by mixing base oil and a thickening agent, and the composite conductive lubricating grease is formed by mixing base oil, a thickening agent and an additive; the thickening agent is synthesized by carrying out amidation reaction on fatty acids and amines according to a certain proportion. The fatty acid selected by the thickening agent is a natural compound, naturally exists in animal and plant grease and is free of environmental pollution, and the composite conductive lubricating grease prepared on the basis of the fatty acid has no corrosion to a friction pair under an application working condition. The basic conductive lubricating grease and the composite conductive lubricating grease prepared by the invention can keep low friction coefficient and low contact resistance under a current-carrying condition, and have relatively good load change resistance, current change resistance and frequency change resistance. The preparation method is simple, low in cost and beneficial to large-scale production.