20results about How to "Performance maximization" patented technology

The invention discloses a complexity and semantic perception video analysis method and system based on edge cloud collaboration. According to the method, video preprocessing is optimized, continuous similar video frames are efficiently processed, video semantic features and system workload changes are considered, and an effective scheduling strategy is achieved. According to the method, a difficulty estimator and an inter-frame difference detector are constructed, the processing difficulty and redundancy degree of a task are predicted according to semantic features of a video task, a state is generated in combination with current system measurement (queue length and bandwidth), and an optimal decision is made through a decision engine based on a PPO algorithm, and the optimal task resolution and the final processing node are selected. And after reasoning, the processing reward of the current task is calculated, and the DRL model is updated according to the reward to continuously adapt to the changes of video contents and system loads, so that the overall performance is improved to the greatest extent, and the reasoning quality, the processing speed and the resource utilization rate are balanced.

The invention provides an isogeometric topology optimization method and device based on thermoelastic metamaterial design, and relates to the field of isogeometric topology optimization. The method comprises the following steps: constructing a multi-material interpolation model corresponding to a thermoelastic metamaterial, and obtaining multiple groups of density distributions corresponding to multiple solid materials and one density distribution corresponding to one solid material in a thermoelastic metamaterial design domain according to the multi-material interpolation model; obtaining a relation interpolation among the multiple groups of density distributions, and obtaining an elastic modulus and a thermal expansion coefficient according to the relation interpolation; calculating an equivalent elastic matrix corresponding to the thermoelastic metamaterial according to the elastic modulus, and calculating a thermal expansion coefficient matrix corresponding to the thermoelastic metamaterial according to the thermal expansion coefficient; performing discretization form processing on the calculation equations of the equivalent elastic matrix and the thermal expansion coefficient matrix through an isogeometric grid, constructing a constraint function according to the equivalent elastic matrix, constructing a target function according to the thermal expansion coefficient matrix, and calculating sensitivity information corresponding to the first design variable through the target function and the constraint function; updating the first design variable according to the sensitivity information until the thermal expansion coefficient meets a convergence condition, and acquiring a second design variable meeting the convergence condition through geometric topology design models such as a negative thermal expansion metamaterial; and performing optimization design on the thermoelastic metamaterial according to the second design variable. The problem that when a complex geometric structure is processed, a finite element method is difficult to guarantee efficient and high-precision design of the thermoelastic metamaterial is solved.

The invention discloses a catalyst for simultaneously removing cyanide and organic matters in wastewater by a peroxymonosulfate oxidation method as well as a preparation method and application of the catalyst, and belongs to the field of chemistry and chemical engineering, in particular to the technical field of catalyst preparation. According to the preparation method, metal oxides such as molybdenum, cerium, vanadium and the like are introduced as a substrate, precise doping of cobalt and nickel and loading of noble metal nanoparticles are performed, and the structural stability and the anti-sintering capability of the catalyst are enhanced through surface modification while uniform distribution of metal elements is ensured, and efficient performance is kept for a long time under high-temperature complex reaction conditions; the catalyst prepared by the method is applied to simultaneous removal of cyanides (free cyanogens and complex cyanogens) and organic matters in wastewater by a peroxymonosulfate oxidation method, has excellent catalytic activity, can quickly reach the degradation rate of 90% or above for 100pmm cyanides (free cyanogens and complex cyanogens) and 200mg / LCOD organic matters in wastewater, and has excellent degradation effect and reaction rate.

A vehicle heat pump system capable of improving cooling and heating performance by applying a gas injection device selectively operated in a vehicle interior air conditioning mode to increase the flow rate of refrigerant. The heat pump system uses a single heat exchanger configured to exchange heat between at least two refrigerants having different temperatures and states with each other for the entire system and the gas injection device, so that the total number of components can be reduced, and manufacturing costs and weight can also be reduced.

This invention discloses a tunnel reverse slope drainage system suitable for TBM construction, comprising: a pumping station including several sewage pumps and submersible pumps, used for pumping water in normal drainage phases by connecting to low-power pumps, and for pumping water in emergency drainage phases by connecting to high-power pumps; a sewage tank for storing equipment wastewater generated during TBM construction; a TBM material transfer tunnel water collection tank for collecting and cooperating with the sewage pumps to discharge equipment wastewater during normal drainage phases, and serving as a temporary water collection tank for small amounts of water seepage in unfavorable strata during emergency drainage phases; a water collection pit for draining seepage and water seepage behind the completed tunnel; a three-stage sedimentation tank for sedimentation treatment of wastewater generated during TBM construction; and several drainage pipelines. The pipelines configured in this invention for emergency drainage are suitable for disaster-prone situations during tunnel construction, used to drain seepage and sudden water seepage near the TBM construction face.

The present invention relates to a vehicle equipped with an exhaust system having a pneumatic effect, comprising: two front wheels (2); two rear wheels (3); a floor wall defining a lower surface facing the road surface and being blown by an airflow flowing beneath the vehicle (1) during use; an internal combustion engine (4); and an exhaust system (6) coupled to the internal combustion engine (4) and provided with an exhaust pipe (7) originating from the internal combustion engine (4) and having an end chamber (9) having an outlet opening (10) at its end through which exhaust gases are released into the atmosphere. The end chamber (9) of the exhaust pipe (7) has at least one movable baffle (23) that can be moved to different positions to change the width of the outlet opening (10). The movable baffle (23) defines the lower surface of the end chamber (9) facing the road surface and being blown by an airflow flowing beneath the vehicle (1) during use.

The present application discloses a design method and component of an organic Rankine cycle system. The method disclosed in the present application includes: determining the operating conditions of the organic Rankine cycle system; constructing a database based on the relationship between heat exchanger parameters and working fluid physical parameters; the database includes: a heat exchanger parameter set and a working fluid physical parameter set; using the database to train a neural network so that the neural network determines a function with heat exchanger parameters and working fluid physical parameters as independent variables; determining the optimal value of the function under preset independent variables, and determining the optimal heat exchanger and the optimal working fluid according to the optimal value. The present application uses a neural network to determine a function with heat exchanger parameters and working fluid physical parameters as independent variables; calculating the optimal value of the function under preset independent variables, and based on the optimal value, the optimal working fluid and the optimal heat exchanger under the current situation can be designed to maximize the system performance. A design component of an organic Rankine cycle system provided in the present application also has the above-mentioned technical effects.

The utility model relates to the technical field of sewage treatment, in particular to a sewage treatment compressed air conveying device which comprises a main air conveying pipe, first air inlet assemblies are arranged at the two ends of one side of the main air conveying pipe, and each first air inlet assembly comprises first air inlet pipes arranged at the two ends of one side of the main air conveying pipe. A first flow meter is arranged on the outer side of the first air inlet pipe in a sleeving mode, a first butterfly valve is fixed to one end of the first air inlet pipe through a flange, a connecting pipe is arranged at one end of the first butterfly valve, and a barrel body is fixed between the connecting pipe and the first butterfly valve through a flange; gas blown out by the air blower is conveyed into the main gas conveying pipe through the second gas inlet pipe and then conveyed into the aeration tank, the comprehensive adjusting tank and other tank bodies, compressed air is conveyed into the main gas conveying pipe through the first gas inlet pipe and then conveyed into the aeration tank, the comprehensive adjusting tank and other tank bodies, and the gas using requirements of the aeration tank, the comprehensive adjusting tank and other tank bodies are met; and compressed air is introduced into the tank body to replace an air blower, so that the maximum performance of the air compressor can be exerted.

Disclosed is a heat pump system for a vehicle, which is capable of improving cooling and heating performance by applying a gas injection device that selectively operates in a vehicle interior air conditioning mode to increase the flow rate of refrigerant. The heat pump system includes a compressor, a condenser, a first expansion valve, an evaporator, a first connection line, a cooler, a second expansion valve, a sub heat exchanger, and a gas injection device, wherein the flow rate of refrigerant is controlled by operation control of the gas injection device according to at least one mode for adjusting the temperature of the vehicle interior.

The invention provides a cross-working-condition fault diagnosis method and system for a gearbox of a mining shovel loading robot. The method comprises the steps that S1, vibration signals of the gearbox of a lifting mechanism of the mining shovel loading robot under different working conditions are collected; s2, constructing a diagnosis network and performing adaptive feature extraction on the vibration signals; the diagnosis network comprises a feature extractor and a fault classifier of the one-dimensional deformable convolutional network; s3, training the diagnosis network by adopting a dual-stage domain adaptive strategy fused with triple loss, and outputting a diagnosis model; and S4, performing fault diagnosis on the vibration signal under the target working condition according to the diagnosis model, and outputting a diagnosis result. According to the method, a double-stage domain self-adaptive strategy is adopted, feature optimization is carried out on the source domain in the first stage, data enhancement and domain invariant feature learning are carried out through mixed source domain and target domain labeling samples in the second stage, the domain offset problem caused by working condition changes is effectively relieved, and cross-working-condition efficient fault diagnosis is achieved.

The invention discloses a solid adsorption cycle carbon capture device and method, the device performs carbon capture through an alkali metal-based solid absorbent, and the device at least comprises: a fluidized adsorption reactor which is used as an adsorption reaction zone and has an adsorption bed layer at the bottom, and performs a fluidized adsorption reaction through carbon-containing gas introduced from the bottom of the adsorption bed layer; the lifting pipe is arranged in the fluidized adsorption reactor and serves as a hydration reaction zone; the upper end of the lifting pipe is higher than the adsorption bed layer, and the lower end of the lifting pipe penetrates out of the fluidized adsorption reactor and mixed gas of air and water vapor is introduced as fluidizing air for hydration reaction; and the regeneration unit is connected between the fluidized adsorption reactor and the riser and is used for carrying out regeneration treatment on the adsorbent particles subjected to carbon capture and recycling the adsorbent particles. According to the invention, the riser is arranged in the fluidized reactor, so that the performance of the adsorbent can be exerted to the maximum extent, and the treatment efficiency of carbon capture and efficient utilization of energy are effectively improved; the hydration reaction and the adsorption reaction can be respectively subjected to process strengthening, so that the efficiency of the hydration reaction and the adsorption reaction is effectively improved.

The invention discloses a pile foundation grounding structure design method and system, and relates to the technical field of power system grounding, and the method comprises the steps: obtaining reference design parameters of a pile foundation grounding structure, and constructing a multi-physics field coupling simulation model through the reference design parameters; the multi-physics field coupling simulation model is adopted to conduct iterative optimization on the to-be-optimized design parameters of the pile foundation grounding structure, corresponding initial design parameters and target simulation parameters are obtained, the initial design parameters are verified according to the target simulation parameters and the multi-physics field coupling simulation model, and corresponding target design parameters are obtained. The technical problems that an existing pile foundation grounding structure mostly depends on an empirical formula or a simple static resistor for design, global optimal design is difficult to achieve, and the operation reliability of a power transmission line is reduced are solved.

The invention discloses an unconventional event post-disaster power supply capability improvement method and system based on inner and outer ring optimization, and the method comprises the following steps: combining damaged nodes into a repair sequence as a repair individual according to the current situation of a power grid system after an unconventional event; optimizing the target through an interior point method, and calculating the fitness value of each repaired individual in the population according to the optimized target; selecting an optimal restoration individual according to the fitness value, updating the remaining restoration individuals through a genetic algorithm, and combining the updated restoration individuals with the optimal restoration individual to generate a new population; the fitness value of each repaired individual in the new population is calculated again according to the step 2, so that the fitness value is updated; and repeating the steps 2-4 until the optimal repair sequence of the power grid is finally obtained. The genetic algorithm and the interior point method are combined, the repairing efficiency is remarkably improved, the voltage deviation is reduced, and the overall stability and reliability of a power grid are guaranteed.

The invention provides network equipment and a data sending method. The network equipment comprises a BBU (Base Band Unit), an RRU (Radio Remote Unit), an analog demixing network module and an antenna which are connected in sequence, the BBU is used for determining a first beamforming weight matrix corresponding to any group of k antennas, and performing linear amplification processing on the first beamforming weight matrix to obtain a second beamforming weight matrix; based on the second beam forming weight matrix, obtaining k paths of data respectively mapped to k antennas, and performing aliasing processing on the k paths of data to obtain k paths of aliasing data; the RRU is used for outputting k paths of aliasing data to the analog unmixing network module through k transmitting channels respectively; and the analog unmixing network module is used for carrying out unmixing processing on the aliasing data output by the k transmitting channels to obtain transmitting data corresponding to the k antennas, and outputting the transmitting data to the corresponding antennas for transmitting. And maximization of channel gain and link performance can be realized.

The present invention relates to the field of artificial intelligence technology, and specifically provides a KASP primer intelligent typing evaluation method and system TAL-SRX based on multi-model fusion. First, the RS, PSO and BO algorithms are used to optimize the performance of the basic model and meta-model, and a Stacking integrated learning framework is constructed to integrate the advantages of the XGBoost learner, and a five-fold cross validation is used to enhance the stability of the model. Then, ANN and LSTM are combined to construct a hybrid neural network to capture nonlinear relationships and extract complex features, and the Transformer algorithm is introduced to capture global dependencies in high-dimensional feature space. Finally, the two machine learning algorithms are fused through a soft voting integration strategy to output the KASP marker typing effect score. The present invention can accurately screen KASP markers with excellent typing effects, has high robustness and good and reliable evaluation performance, and provides technical support for molecular marker-assisted breeding and other work.

The invention discloses a functional melamine resin optical coating cured by sunlight and a preparation method of the functional melamine resin optical coating. The functional melamine resin optical coating is prepared by mixing 100 parts of trifunctional structure melamine resin, 1-10 parts of a cross-linking promoting agent and 1-20 parts of a catalyst. Wherein the melamine resin with the three-functional structure contains three active reactive groups, namely-CH2OH,-CH = CH2 and-O-C (CH2) 2-CO-C6H5, and is prepared from 126 parts of melamine, 243 parts of a formaldehyde solution (37%), 50 to 150 parts of hydroxyethyl acrylate, 50 to 200 parts of polyol and 2 to 10 parts of a photosensitizer through an amination synthesis reaction. According to the functional melamine resin optical coating provided by the invention, the coating curing process has the remarkable characteristics of low carbon, energy conservation, high efficiency and convenience, and the prepared coating has outstanding optical performance and functionality; besides, the functional melamine resin optical coating can be used as a high-performance and functional coating and is widely applied to the field of optical protective coatings.

The present invention discloses a cloud-edge-terminal collaborative unloading scheduling and resource scheduling method and device based on synaesthesia, which divides the coverage of a cloud into multiple sub-areas according to different base station coverages, and selects one of three unloading methods for each terminal to unload the sensing data; the sum of the energy consumption of the terminal and the delay of task completion of the three TDMA-based unloading methods is formulated as the sum of the cost of task completion, and based on this, the task cost optimization problem is modeled according to different unloading methods and the time slot allocation of sensing and unloading; the unloading method and TDMA unloading time slot of each terminal are determined by solving the optimization problem using linear programming and particle swarm methods; and finally, the purpose of minimizing the cost of multiple terminals completing the inspection task is achieved through cloud-edge-terminal collaborative unloading and scheduling optimization of sensing unloading time slots. It can effectively save the cost of multiple terminals in the collaborative execution of tasks under different unloading conditions.

The present disclosure relates to an electrode assembly insertion guide, the electrode assembly insertion guide comprising: a main body part detachably coupled to an edge of an opening part formed by opening one surface of the accommodating case; and a coupling portion formed by a surface of the main body portion facing the opening portion being recessed in a direction from an inside of the housing case toward the opening portion.

The application discloses a tongue disease risk prediction method and system based on prompt mutual learning. The method comprises the following steps: training a visual language teacher model based on a tongue data set through prompt learning and consistency loss, and saving a text feature vector generated by the visual language teacher model; initializing at least two student models for mutual learning, and introducing a KL divergence loss of the visual language teacher model in the mutual learning; and multiplying an image feature vector of a tongue image to be predicted extracted by any one student model with the text feature vector generated by the visual language teacher model to output a disease risk prediction result. The application effectively improves the accuracy and reliability of tongue disease risk prediction by fusing prompt learning and mutual learning distillation technology.

The invention provides an information transmission method and device, equipment and a medium. The method comprises the following steps: sending a first request to first core network equipment, wherein the first request comprises an identifier and / or a parameter set configured by a first positioning reference signal; or, a second request sent by the first core network device is received, and the second request comprises the parameter set configured by the second positioning reference signal. According to the method provided by the invention, the first request is sent to the first core network equipment, so that the first core network equipment can be helped to more clearly understand the positioning reference signal configuration of the neighbor cell preferred by the first wireless access equipment, and the final positioning reference signal configuration is ensured to be helpful to maximize the model performance of the first wireless access equipment side; or, receiving a second request sent by the first core network device, so that the first wireless access device can be helped to know the preferred positioning reference signal configuration of the first core network device more clearly, thereby ensuring that the final positioning reference signal configuration is helpful to maximize the model performance.