1282results about How to "Reduce adverse effects" patented technology

A river-lake system ecological scheduling method coupled with basin hydrological response belongs to the field of reservoir ecological scheduling, and comprises the following steps: firstly, selecting a research area to represent a hydrological station, and drawing a basin hydrological evolution topological graph; secondly, constructing a watershed hydrological response model step by step, and simulating a response process of lake hydrological situation to upstream reservoir drainage; thirdly, putting forward an ecological evaluation index, and quantifying lake hydrological-ecological response; 4, constructing a multi-objective optimization scheduling model of the river-lake system; 5, optimizing the multi-objective optimization scheduling model of the river-lake system; and finally, based on a fuzzy optimization method, recommending an optimal reservoir scheduling rule conforming to decision preference. According to the method, the beneficial benefits such as power generation and water supply of the reservoir are guaranteed, the adverse effect of concentrated water storage of the upstream reservoir on the ecology of the downstream lake can be weakened to the maximum extent, the reservoir scheduling rule with the maximum comprehensive benefits is recommended, and scientific scheduling basis and decision support are provided for green development of a river-lake system.

The invention relates to the technical field of adaptive filtering, and discloses a deviation compensation constraint adaptive filtering method and system based on error nonlinearity, and the method comprises the steps: constructing an adaptive weight vector and a noise-containing input signal vector according to an adaptive weight and a noise-containing voice signal sampling value when the weight of an adaptive filter is subjected to linear constraint; after the inner product generates an output signal, an estimation error signal is generated, and an error square median is calculated; calculating an error signal variance estimated value and a self-adaptive weight vector power estimated value according to the error square median and the self-adaptive weight vector, and then calculating an input noise variance estimated value; calculating a deviation compensation item according to the adaptive weight vector and the input noise variance estimation value, and updating the adaptive weight vector with the noise-containing input signal vector and the estimation error signal; and calculating the inner product of the updated adaptive weight vector influenced by the low-efficiency input noise and the noise-containing input signal vector to obtain an output signal subjected to input noise deviation compensation.

The invention discloses a hot-rolled high-weather-resistance steel plate with extremely low yield ratio and 850 MPa-grade tensile strength as well as a manufacturing method and application of the hot-rolled high-weather-resistance steel plate. The steel plate comprises chemical components in percentage by weight as follows: 0.06%-0.08% of C, 0.40%-0.60% of Si, 0.40%-0.60% of Mn, smaller than or equal to 0.015% of P, smaller than or equal to 0.005% of S, 2.50%-3.00% of Cr, 0.25%-0.30% of Cu, 0.13%-0.15% of Ti, 0.020%-0.040% of Alt, smaller than or equal to 0.0040% of N, smaller than or equal to 0.0030% of O and the balance of Fe and inevitable impurities. The high Cr + high Ti design is adopted, the tensile strength reaches 850 MPa, the weather resistance index I value is larger than or equal to 8.0, addition of precious metal Ni is omitted, the addition amount of the strong hardenability element Cr in the steel exceeds 2.50%, a fine grain ferrite and bainite double-phase structure is obtained in combination with the controlled rolling and controlled cooling process, meanwhile, the precipitation strengthening and fine grain strengthening effects of Ti are fully exerted, control over high strength and the extremely-low yield ratio smaller than 0.65 is achieved, and the high-strength and low-yield-ratio steel is obtained. The forming performance is excellent, the corrosion rate is smaller than 40% relative to Q345B, and good atmospheric corrosion resistance is achieved.

The invention discloses low-alkali solid waste cementing material-based plant-growing concrete and a preparation method thereof. The vegetation concrete comprises a base layer framework and a surface layer material laid on the framework. Wherein the base layer framework is prepared from the following raw material components in parts by weight: 160 to 200 parts of low-alkali solid waste cement, 15 to 25 parts of phosphogypsum, 1380 to 2100 parts of mineralized concrete recycled aggregate, 62 to 102 parts of mineral admixture and 60 to 90 parts of mixing water. The surface layer material comprises the following raw material components: 1-5% of sodium alginate, 1-10% of calcium superphosphate, 1-10% of urea and the balance of soil. The mineralized concrete recycled aggregate is prepared by the following steps: soaking the concrete recycled aggregate in a diammonium hydrogen phosphate solution, and separating out the aggregate after soaking is completed, thereby obtaining the mineralized concrete recycled aggregate. According to the plant-growing concrete, alkalinity in concrete pores can be remarkably reduced, and the plant-growing concrete has stable later strength and good plant germination rate.

The invention relates to an interpretable event prediction method based on a graph attention network and a hokes process. The method comprises the following steps of: constructing a time prediction process as a sub-graph extension reasoning process by adopting a graph attention mechanism and a Horkes process in an event prediction time sequence point process, and taking a to-be-predicted node as a sub-graph base point; the attention value and a conditional intensity function value obtained in the Horkes process are combined to serve as the basis of sub-graph search expansion and node embedding vector updating, the event development context is deduced, and future events are deduced with the event development context serving as a forward condition. The method not only pays attention to the relative time interval information between the events and further improves the accuracy of the prediction result, but also can give a clear reasoning path, so that the prediction of the events has interpretability, the prediction accuracy of the urban safety events is improved, and the adverse effects of the safety events are reduced.

The invention discloses a soft rock cave slag green concrete and a preparation method thereof, and belongs to the technical field of solid waste resource utilization, the soft rock cave slag green concrete comprises the following raw materials: cement, a cave slag rock-based mineral admixture, a continuous grading soft rock cave slag coarse aggregate, a soft rock cave slag fine aggregate, a soft rock modifier, a water reducer and water. According to the preparation method, the waste soft rock cave slag in the tunnel excavation process is used for processing the coarse aggregate and the fine aggregate, the waste cave slag is used for processing the cave slag rock-based mineral admixture, meanwhile, the soft rock modifier is adopted for modifying the soft rock coarse aggregate and the soft rock fine aggregate, and the soft rock cave slag green concrete is prepared. The prepared soft rock cave slag green concrete has the advantages of being green, environmentally friendly, low in cost, good in durability and the like.

The invention discloses industrial-grade mixed oil produced by utilizing kitchen waste oil and a preparation method of the industrial-grade mixed oil, and belongs to the technical field of recycling of the kitchen waste oil. The invention relates to industrial-grade mixed oil produced by using kitchen waste oil and a preparation method thereof, and the preparation method comprises the following steps: firstly collecting kitchen waste containing the waste oil, and storing the kitchen waste in a container through special equipment; carrying out screen solid-liquid separation, cleaning grease on the surface of the solid waste, and then carrying out precipitation separation; then carrying out centrifugal separation, chemical cleaning, water washing, acid treatment, dehydration, degumming and metal ion removal on the separated grease and oil-containing liquid; carrying out ultrasonic-assisted multistage ester exchange after enzymolysis optimization, carrying out membrane separation on glycerol and fatty acid methyl ester, and carrying out reduced pressure distillation to obtain a high-purity fraction; carrying out adsorption refining, plasma treatment and supercritical fluid extraction; finally, nano particles are added and blended with additives, efficient recycling of the kitchen waste oil is achieved, and then high-purity industrial-grade mixed oil is prepared.

The invention provides a motor stator vibration suppression method and system based on an electromagnetic pad and deep learning, and relates to the field of electrical technology, and the method comprises the steps: collecting a vibration signal of a motor stator, and carrying out the preprocessing of the vibration signal; inputting the preprocessed signal into a deep learning model, and training and optimizing the deep learning model; fusing the features through a full connection layer to obtain a comprehensive feature vector; predicting the future vibration state of the motor stator by using the comprehensive feature vector; establishing an electromagnetic force model, and designing an adaptive control law based on the predicted future vibration state and the electromagnetic force model; electromagnetic force required by vibration suppression is calculated by using a self-adaptive control law and is converted into a control signal to adjust the electromagnetic pad; a multi-objective optimization algorithm is used to consider the vibration suppression effect and energy consumption at the same time, an adaptive control law is adjusted, and closed-loop feedback control is formed to continuously optimize the vibration suppression effect.

The invention relates to the technical field of environment management, in particular to a carbon neutralization management method and system based on digital asset circulation, and the method comprises the following steps: screening associated data of energy consumption and carbon emission based on carbon emission data, energy consumption, a total production value and an industrial production value, and eliminating abnormal values and redundant information. According to the invention, through combination of trend weight and time sequence fitting, the influence range of trend change is determined, the prediction capability of dynamic association of energy consumption and carbon emission is effectively enhanced, and through analysis of quota distribution records and time span parameters, quota adjustment in a transaction path is optimized, the quota distribution efficiency and flexibility are improved, and the prediction efficiency of the dynamic association of energy consumption and carbon emission is improved. Supply and demand fluctuation analysis is combined with quota price and distribution adjustment, a supply and demand matching mechanism is dynamically optimized, distribution accuracy and response efficiency are improved, fluctuation intervals and risk association weights are dynamically calculated, real-time assessment and regulation of risk changes are realized, and adverse effects of risk accumulation on carbon transaction management are reduced.

The invention provides a thermal runaway battery ejection device and a using method thereof.The thermal runaway battery ejection device comprises an ejection mechanism, and the ejection mechanism is close to a battery and used for ejecting the battery; the ejection mechanism is provided with a driving mechanism, and the driving mechanism is used for driving the ejection mechanism to work; a protection plate is arranged on the side, close to the ejection mechanism, of the battery. The device is applied to battery bins and a partition plate, the partition plate is provided with a plurality of battery bins, batteries are located in the battery bins, and sensors are arranged in the battery bins. Two partition plates are arranged, a side plate is arranged between the two partition plates, and a top plate is arranged at the tops of the partition plates. The ejection mechanism is connected with the partition plate. A spring is not used as ejection power, the ejection force cannot be reduced due to long-time use, and it is guaranteed that when the battery is in thermal runaway, enough ejection force is provided for ejecting the thermal runaway battery; the battery thermal runaway can be quickly responded, the battery can be timely popped out, the thermal runaway diffusion risk is reduced, fire explosion is prevented, and peripheral equipment is protected.

The invention discloses a self-rescue device for new energy automobile battery thermal runaway, which comprises a battery monitoring unit, a mounting part and a battery module, a protection box is arranged on the outer side of the lower part of the battery module, the protection box is slidably arranged in a mounting groove formed in the bottom of an automobile, and a sealing mechanism, a support sensing plate and a power mechanism are arranged in the protection box; a self-rescue assembly is arranged in the sealing mechanism and comprises an air storage tank and an exhaust part. According to the self-rescue device for thermal runaway of the battery of the new energy automobile, after an abnormal battery module falls into the protection box, the sealing mechanism is unfolded to completely cover and wrap the battery module, the self-rescue assembly runs immediately, the gas storage tank sprays nitrogen to the battery module through the gas discharging opening in the telescopic gas discharging pipe, the battery module is protected in time, and the service life of the battery module is prolonged. According to the battery module provided by the invention, the situation that fire rapidly spreads is avoided under the condition that the battery module is isolated from the outside, so that normal and intact batteries are prevented from being influenced by abnormal batteries, the batteries which are not abnormal yet are effectively protected, and the practicability is better.

The invention relates to the technical field of pipeline welding auxiliary devices, in particular to a water-cooled wall pipeline welding alignment auxiliary device and method.The water-cooled wall pipeline welding alignment auxiliary device comprises two semi-rings, the outer side walls of the semi-rings are provided with semi-circular sliding rings, the outer side walls of the semi-circular sliding rings are slidably connected with semi-circular sliding rails, and the outer side walls of the semi-circular sliding rails are fixedly connected with semi-circular bases; an adjustable clamping mechanism for clamping a water-cooled wall pipeline is installed on the outer side wall of each semi-ring, a detection mechanism is installed on the side, close to a pipeline groove, of one semi-circle base, and an opening aligning mechanism is installed on the outer side wall of each semi-circle base. When the semicircular seat is rotated, the round head of the detection mechanism walks on the water-cooled wall pipeline groove, in the process, the swing amplitude of the pointer represents the deviation degree of the circle center of the semicircular seat and the circle center of the water-cooled wall pipeline, if the swing amplitude is too large, the semicircular seat and the water-cooled wall pipeline are kept concentric through the adjustable clamping mechanism, and opening alignment positioning is achieved through the semicircular seat; and alignment deviation is reduced.

The invention discloses a thermal insulation layer defect detection method based on machine vision, relates to the technical field of defect detection, and solves the technical problem that single data matching cannot comprehensively judge defect reasons and causes errors to defect judgment. The method can automatically adjust the threshold value according to the gray feature distribution of different segmented areas in the whole image, is more suitable for the local difference and overall change conditions of the thermal insulation layer image, carries out the detailed analysis of the edge features through building a rectangular coordinate system for a target area with no gray feature matching result, and improves the accuracy of gray feature matching. According to the method, more clues about the defects can be mined from the edge information, and the distribution and formation mechanism of the defects in the thermal insulation layer can be more comprehensively understood by judging the integrity of the abnormal shape and combining and analyzing the associated region of the incomplete shape, so that the defect reasons can be more accurately determined.

The invention discloses a text-image pedestrian re-identification method for noise correlation. The method comprises the following steps: respectively carrying out global feature representation and local feature representation on an image and a text, and carrying out global feature marking and local feature marking; dividing the image and text data by adopting a dynamic selection and correction method specific to an instance; constructing a multi-granularity global feature learning module, and inputting the local features of the image and the text into the multi-granularity global feature learning module to obtain multi-granularity global features; and training an optimization network model through ID classification loss and similarity distribution matching loss, carrying out loss calculation on the identity ID, and completing similarity distribution matching loss calculation on the multi-granularity global features. Through the technical scheme of the invention, the matching precision of pedestrian re-identification based on text description is effectively improved.

The invention relates to the technical field of remote execution control, in particular to a blasting operation control system and method based on the Internet of Things, and the system comprises a vibration simulation analysis module, a risk level calculation module, an operation process planning module and a real-time abnormity response module. According to the method, shock wave propagation under various blasting conditions is simulated and analyzed, the safety distance is accurately predicted, blasting safety is improved, risk assessment and adjustment of project planning are achieved by integrating the geological structure, the climate condition and the building position, the sustainability and social responsibility of a project are enhanced, and the method is suitable for popularization and application. The operation condition of a target project is monitored in real time in combination with an Internet of Things sensor, blasting parameters are adjusted in real time or operation is stopped, accurate and dynamic operation control is provided, the personnel safety risk is effectively reduced, the operation efficiency is improved, the safety and economic benefits of blasting operation are enhanced, and the adverse effect on the environment is reduced.

The invention relates to the technical field of loading building control, and discloses a loading building automatic operation control method and system. The method comprises the following steps: analyzing and generating a vibration characteristic curve of a loading mechanism based on operation state data, and calculating transmission control parameters through wavelet transform; processing the loading task list to obtain a job scheduling sequence, and calculating and conveying partition data according to dynamic planning; conveying partition data are calculated in real time to obtain feeding mechanism operation speed and conveying belt speed parameters, and an execution instruction set is output after verification; the evaluation execution instruction set calculates conveying mechanism load, loading platform state and material accumulation data, and generates a control instruction after grading processing; and acquiring control instruction execution data to obtain loading time, loading mechanism energy consumption and equipment utilization rate data, and determining a target control strategy after correlation analysis. Accurate control over the automatic operation process of the loading building is achieved, and therefore the stability and safety of the loading process are guaranteed.

The invention discloses passivation coating equipment and method for side sections of battery pieces, and the coating method comprises the following steps: stacking the cut battery pieces, putting the stacked battery pieces into a plurality of piece boxes with processing windows on the side surfaces, putting the piece boxes in which the battery pieces are put into an area to be passivated, and putting a plurality of battery pieces into each piece box; placing the plurality of wafer cassettes on a tray from the to-be-passivated area; reactants and carrier gas enter the reaction chamber through the gas path system; performing side section passivation coating in the reaction chamber, namely forming a passivation film on the side section of the battery piece in a deposition mode; and after passivation and coating of the side sections are completed, the multiple piece boxes are all placed in a passivated area from the tray. According to the invention, the passivation of the side section of the cut battery piece is realized, the efficiency of the battery assembly is improved, the technical problem of yield loss caused by poor welding of the battery assembly due to the winding plating of a passivation film on the front surface or the back surface of the battery is avoided, and the power generation cost of the assembly is reduced.

The invention provides a gas-liquid partitioning device and a steaming oven, the gas-liquid partitioning device comprises a seat body, the seat body is provided with a gas inlet and a gas outlet, the seat body is internally provided with a processing cavity, the processing cavity is internally provided with a condensation part, the condensation part divides the cavity into an upper cavity for cooling gas and a lower cavity for condensing water vapor, the seat body is provided with a driving device, and the driving device is connected with the processing cavity. A channel switching main body is arranged between the upper chamber and the lower chamber, the channel switching main body is in transmission connection with the driving device, the channel switching main body is connected with the air inlet, the upper chamber is communicated with the air inlet through the channel switching main body to form a first channel, and the lower chamber is communicated with the air inlet through the channel switching main body to form a second channel; the outlet ends of the first channel and the second channel are both communicated with the outlet gas, and the driving device drives the channel switching body to act, so that the first channel and the second channel are switched and communicated.

The invention discloses a furniture board processing equipment control method and system. According to the method, the data of the furniture board processing equipment is collected, the multi-depth knowledge vector spectrum is formed based on pyramid knowledge vector mining, and the data value can be comprehensively and deeply mined. Equipment control decision features of different processing tasks are obtained from knowledge vector spectrums of different pyramid depths, and the requirements of linkage processing tasks and other processing tasks can be accurately adapted. And for the linkage processing task, the decision features obtained from the depth of the first pyramid can effectively coordinate the relationship between the devices, so that the adverse effect between the devices is avoided, and the overall processing efficiency is improved. Second processing task decision features are obtained from knowledge vector spectrums of other depths, more complex processing influence factors are considered, and the processing quality is improved. And finally, remote control is realized by combining two decision features, so that the manual intervention cost is reduced, the timeliness and accuracy of control are improved, and high efficiency, high quality and intelligentization of furniture plate processing are realized.

The invention relates to the technical field of distributed learning and wireless communication, in particular to an efficient communication federated learning model training method and system based on residual adaptive compression. The client obtains and updates the global model; obtaining a local model residual error by utilizing the local model memory set and the updated model weight; carrying out adaptive sparse compression on the residual error and transmitting the residual error to a server; the server selects a reliable client to carry out model weight prediction and aggregation; and broadcasting the updated global model to the client, and repeating the steps until convergence. Through adaptive compression and reliable client selection, the communication overhead is remarkably reduced, and the model convergence speed and the final performance are improved. The method is particularly suitable for edge computing scenes with limited resources, effectively solves the key problems of communication efficiency, model performance, privacy protection and the like in federated learning, and provides new possibility for wide application of federated learning.

The invention provides an optimal configuration method for water and soil conservation engineering, biology and farming comprehensive measures in an ecologically fragile area. The engineering, biology and cultivation comprehensive measure optimal configuration method for water and soil conservation in the ecologically fragile area comprises the following steps: a, area division and evaluation: dividing the area into different functional areas including a slope top, a slope middle, a slope toe, a channel and the like according to the terrain, soil, climate and hydrological conditions of the ecologically fragile area, and dividing according to different gradients; according to the engineering, biological and farming comprehensive measure optimal configuration method for water and soil conservation in the ecologically fragile region, the water and soil conservation capability of the ecologically fragile region is remarkably improved by comprehensively applying engineering measures, biological measures and farming measures, and the water and soil conservation capability of the ecologically fragile region is improved through accurate region division and evaluation. Differentiated engineering facility planning and vegetation seed selection are adopted for areas with different slopes, water and soil loss can be effectively reduced, an intelligent monitoring system is used for maintaining facilities for a long time, and therefore adverse effects of climate changes and the external environment are avoided.

The invention belongs to the technical field of visual inspection, and particularly relates to laser welding AOI (automatic optical inspection) equipment which comprises a laser welding head, a mounting frame, an XYZ three-axis moving mechanism, a blowing mechanism, a first visual inspection mechanism and a second visual inspection mechanism. The blowing mechanism is arranged on the mounting frame through a first adjustable cantilever; the second visual inspection mechanism is vertically fixed at the bottom of the mounting frame and is positioned on the rear side of the laser beam; the first visual inspection mechanism is arranged on the mounting frame through a fixed cantilever; the first visual detection mechanism and the blowing mechanism are located on left and right sides of the laser beam; the air blowing mechanism is provided with a long-strip-shaped air outlet and is arranged in the front-back direction. In the machining process, through cooperation of the air blowing mechanism, the first visual detection mechanism and the second visual detection mechanism, the accuracy of the detection effect can be guaranteed, and the adverse effect of welding dust fog on the detection effect can be greatly reduced.

The invention relates to a laser detector suitable for a strong sunlight environment and a preparation method thereof, and belongs to the field of photoelectric detectors. The laser detector comprises a first sub-detector and a second sub-detector which are opposite in polarity, the first sub-detector is used for detecting sunlight and laser signals, the second sub-detector is used for detecting sunlight signals, and the first sub-detector and the second sub-detector eliminate sunlight interference by outputting sunlight current signals which are equal in magnitude and opposite in direction. The detector further comprises a first electrode, a second electrode and a third electrode, the third electrode is connected with the first sub-detector and the second sub-detector, the first electrode is connected with the first sub-detector, and the second electrode is connected with the second sub-detector. And the polarities of voltages connected to the first electrode and the second electrode are opposite. Sunlight currents generated by the two sub-detectors are basically consistent to offset each other, and only small light currents generated by laser signals are output, so that the detector can maintain the optimal working voltage.

The invention discloses a production optimization method and system for animal blood-made protein powder, particularly relates to the technical field of production monitoring, and aims to solve the problem that the existing method is difficult to effectively identify the potential hidden danger of the cavitation effect caused by ultrasonic waves in the production process of the animal blood-made protein powder. The method comprises the following steps: capturing harmonic characteristics of ultrasonic signals, and identifying an acoustic energy dense region in combination with a spectrum analysis algorithm; constructing a turbulence disturbance intensity graph model, and analyzing the distribution characteristic change of the dissolved gas in combination with a graph embedding learning algorithm; determining a cavitation potential risk area based on the identified first and second potential risk areas; in the cavitation potential risk area, the comprehensive influence of the bubble group synergistic effect and the heat effect is evaluated by analyzing the complexity of bubble interaction energy distribution and the diffusion degree of local high temperature; and finally, determining a cavitation hidden danger caused by ultrasonic waves by calculating a cavitation influence coefficient, and optimizing production process parameters according to a determination result.

The invention provides a UAV sideslip turning control method based on neural network intelligent control, which solves the first-order derivative and the second-order derivative signal of the UAV lateral expected trajectory signal through a combined differentiator, and then solves the lateral velocity and lateral acceleration error signal through the yaw angular rate, the yaw angle and the flight speed signal, and then forms the yaw angle expected signal through error synthesis, and obtains the yaw angle error signal by comparing with the yaw angle, and then generates the yaw angular rate error signal and the yaw angular acceleration error signal through the combined differentiator and the angular velocity signal, and finally trains a radial basis function neural network with the above position error, velocity error, acceleration error, angle error, angular velocity error and angular acceleration error, and uses the neural network to approximate the uncertainty error of the system, and superimposes the error and the error integral signal to form the final UAV yaw channel control total signal, so as to realize the intelligent control of the UAV sideslip turning.

The invention discloses an anti-scratch display panel injection molding device, and relates to the technical field of injection molding, the anti-scratch display panel injection molding device comprises an injection molding assembly, and the top of the injection molding assembly is provided with a scraping assembly and a protection assembly. During use, when the power transmission mechanism drives the plunger body to move reversely and reset, the plunger body can penetrate through the conical scraping plate, and at the moment, the conical scraping plate pushes down small-particle plastic attached to the outer surface of the plunger body, so that the situation that the small-particle plastic continues to move along with the plunger body and enters the space between the plunger body and an external material barrel is avoided, and the service life of the plunger body is prolonged. And therefore, the effect of scraping small-particle plastic is achieved, and the service life is prolonged. The scraped small-particle plastic falls into the charging barrel body, and under interception of the microporous filter screen, the small-particle plastic is prevented from falling into the protective barrel and the liquid discharge pipe to cause blockage.

The invention discloses a wind power asset transaction management system based on centralized large storage, relates to the technical field of electric power asset transaction, and solves the problems that a transaction strategy is fragile when facing policy adjustment, and the transaction effect is poor due to the fact that a traditional electric power transaction system cannot fully integrate evaluation of the influence of policy changes on the market. And the capability of monitoring in real time and dynamically adjusting the transaction strategy is lacked. The system comprises a data acquisition and analysis unit, a risk income analysis unit, an auxiliary decision-making unit and a terminal, can acquire new energy power generation data, historical transaction data and market disclosure data and perform further data operation, and takes maximization of the income after risk adjustment as a target, considers the influence of policy change, constructs a target function, and performs decision-making on the new energy power generation data, the historical transaction data and the market disclosure data. Therefore, the decision can reduce the influence caused by the policy change, and maximizes the benefit after the risk adjustment. The method can comprehensively consider multiple factors such as market supply and demand, price fluctuation, policy change and the like, and provides scientific transaction decision support for wind power enterprises.

The invention relates to the technical field of robots, in particular to a mechanical arm model prediction interaction control method based on a hysteresis force model, which comprises the following steps of: abstracting a hysteresis nonlinear phenomenon into a linear combination of a plurality of basic play operators by adopting end force modeling based on a PI (Proportional Integral) model, jointly superposing to form a description of the overall nonlinear behavior; the inverse model of the PI model is constructed in an analysis mode, the inverse model is also a PI model, the parameter of the inverse model is a function of the parameter of the original PI model, and the hysteresis characteristic of the inverse model can be determined by the relation, so that the hysteresis effect of the original PI model is effectively counteracted; and finally, a least square method is adopted as a parameter identification method, model parameters of the hysteresis characteristics of the system are accurately described, and more accurate output is obtained. According to the model prediction interaction control method, the adverse effect of the hysteresis effect on the performance of the control system is remarkably reduced, and greater potential and possibility are provided for application of the robot in the real world.

The invention discloses a divertor target plate thermal load and impurity control combined gas injection method and system, and the method comprises the steps: arranging two gas injection ports in a divertor, and respectively injecting impurities argon and deuterium gas through the two gas injection ports. The combined gas injection method is adopted, the thermal load peak value of the divertor target plate can be effectively controlled to be lower than 10 MWm <-2 >, in other words, the thermal load peak value of the divertor target plate is effectively controlled to be lower than the engineering limit, and therefore it is ensured that the divertor can stably run for a long time; besides, compared with existing impurity control which is easy to introduce new impurities and cannot realize effective control of the impurities, a combined gas injection mode is adopted, the peak value of the effective charge quantity at the edge and the particle density of the impurity at the edge can be effectively controlled, and the impurity at the edge is controlled at a lower level; and adverse effects caused by impurity injection in the prior art are greatly reduced.

The invention discloses a sliding mode-extended state observer vibration control method based on time delay compensation in the field of vibration control. The sliding mode-extended state observer vibration control method comprises the following steps: step 1) carrying out novel modeling on a four-side fixed support plate system; 2) designing an extended state observer; 3) designing a sliding mode controller; 4) designing a time delay compensator; and step 5) calculating the control quantity by using the NI-PCIe acquisition card and the Simulink. According to the invention, based on NI-PCIe hardware-in-the-loop platform development, the problems of system time lag, model uncertainty, influence of an inertial actuator and external excitation existing in a four-side fixed support plate are solved, and the total disturbance of the system including internal and external disturbance is estimated through an extended state observer. A content system is simplified into an integral series connection type for control by eliminating total disturbance through feedforward, and a delay compensator based on an enhanced differentiator is introduced to carry out non-delay design on the system, so that the vibration suppression performance of the sliding mode controller is improved.