416results about How to "Avoid consumption" patented technology

The invention discloses a smart home energy management optimization method in an Internet of Things environment. According to the method, the Internet of Things technology is utilized, intelligent identification and classified management are carried out on equipment, multiple energy management strategies are preset, and a user can conveniently and autonomously adjust; energy data is monitored in real time through a sensor and an intelligent electric meter, an energy consumption rule is mined by using a big data analysis technology, and a demand trend is predicted; constructing an intelligent energy dispatching center, and formulating a dynamic energy distribution scheme by using an optimization algorithm; a mobile phone application and an intelligent control panel are developed, and a user is supported to check data, control equipment and carry out personalized customization; and meanwhile, equipment firmware upgrading and remote management are realized. According to the invention, energy consumption can be reduced, cost can be controlled, equipment collaboration and energy distribution efficiency can be improved, user experience can be enhanced, system maintenance and upgrading are facilitated, and intelligent household energy management is more efficient, intelligent and flexible so as to adapt to diversified household requirements.

The invention relates to the technical field of brain-computer interfaces, and discloses a self-adaptive dynamic feedback brain-computer interface training method and system based on virtual reality. The training method comprises the steps that a user performs motor imagery according to a training scene presented by the VR display device; the electroencephalogram acquisition equipment acquires electroencephalogram signals; configuring a data processing module, and operating a motor imagery continuous control model to calculate characteristic parameters by taking the electroencephalogram signals as input; under the condition that the task exists, the characteristic parameters are used as input, and a dynamic self-adaptive characteristic-feedback mapping model is operated to calculate control parameters; sending the control parameters to a functional electrical stimulation device to load electrical stimulation of corresponding intensity to the muscle to obtain tactile feedback; meanwhile, the dynamic adaptive feature-feedback mapping model is dynamically updated according to latest input feature parameters; the control parameters are sent to the VR display device to present visual feedback, and the user adjusts the motor imagery based on the visual feedback and the haptic feedback. The participation sense of the user and the training efficiency can be improved.

The immersed battery pack thermal management system comprises a battery pack box body, the battery pack box body is provided with a containing cavity with an opening in the top, the containing cavity is filled with a cooling medium, and a liquid outlet is formed in the side wall of the bottom of the battery pack box body; the plurality of single batteries are arranged in the accommodating chamber and are immersed in the cooling medium; the phase change working medium is arranged in the accommodating chamber and surrounds the outer side of the single battery; the cooling box body is fixedly arranged at the top opening of the battery pack box body, the bottom surface of the cooling box body is provided with a communication port communicated with the accommodating cavity, and a liquid inlet is formed in the cooling box body; by combining static cooling, low-flow dynamic cooling, high-flow dynamic cooling and multi-layer thermal management of the phase-change material, the cooling strategy can be dynamically adjusted under different temperature conditions, efficient heat dissipation is ensured, the internal temperature of the battery pack is more uniform by using the phase-change working medium, a proper cooling mode is selected as required, and the cooling efficiency is improved. And unnecessary energy consumption is avoided.

The invention relates to the field of artificial intelligence, and discloses a reasoning acceleration method and device for a large language model, equipment and a medium, and the method comprises the steps: obtaining a to-be-processed text in a reasoning request in response to the reasoning request input by a user; performing video memory demand prediction according to the to-be-processed text to obtain a video memory prediction result; distributing a corresponding initial video memory space for the large language model according to the video memory prediction result so as to execute a corresponding reasoning task on the to-be-processed text; when the large language model executes the reasoning task, monitoring an occupation index of the initial video memory space; and when the occupation index meets a preset condition, triggering a dynamic allocation mechanism, and allocating a new video memory space for the large language model according to the dynamic allocation mechanism. The corresponding initial video memory space is allocated by predicting the video memory demand in advance, the use condition of the initial video memory space is monitored in real time, and a dynamic allocation mechanism is triggered when resources are insufficient, so that flexible and controllable dynamic video memory allocation is realized, the waste of video memory resources is reduced, and the overall reasoning speed of the model is improved.

The invention discloses an external bias pixel structure of a light receiving stage circuit in a dynamic vision sensor pixel. The external bias pixel structure comprises a photodiode, a logarithmic tube, an amplifier tube, a switch tube and a bias tube, the bias tube, the switch tube and the amplifier tube are sequentially connected in series, a source electrode of the bias tube is connected with a power supply, a drain electrode of the bias tube is connected with a drain electrode of the switch tube, a source electrode of the switch tube is connected with a drain electrode of the amplifier tube, and a source electrode of the amplifier tube is grounded; the grid electrode of the bias tube is in signal connection with Vbias, the grid electrode of the switch tube is in signal connection with Vcpr, the source electrode of the switch tube and the drain electrode of the amplifier tube are connected with the grid electrode of the logarithmic tube, the drain electrode of the logarithmic tube is connected with a power supply, the source electrode of the logarithmic tube is connected with the negative electrode of the photodiode, and the positive electrode of the photodiode is grounded. And a grid electrode of the amplifier tube is also connected between the source electrode of the logarithmic tube and the negative electrode of the photodiode.

The invention relates to the technical field of battery SOC equalization, and particularly discloses an energy storage system battery SOC equalization method based on an EMS, and the method comprises the steps: determining SOC equalization influence factors of each battery based on the EMS, analyzing the SOC real-time use state of each battery, obtaining the SOC equalization state characteristic value of each battery in combination with the SOC equalization influence factors of each battery, and determining the SOC equalization state judgment value of each battery. According to the method, whether the battery needs to be subjected to SOC equalization or not is judged, an SOC equalization mode is determined, the temperature state of the battery SOC equalization process is monitored, whether the battery SOC equalization process is overheated or not is judged, and the problems that a traditional equalization method is low in response speed when coping with a scene with frequent load change and high-power requirements, a fixed SOC equalization threshold value is set, and the battery SOC equalization process is overheated or not are solved. The method solves the problem that the prior art is poor in adaptability to dynamic working conditions such as load fluctuation, unnecessary energy consumption is avoided, the system safety can be improved, and the probability of sudden failures is reduced.

The invention relates to the field of numerical control machine tool cutting fluid cyclic utilization control, in particular to a numerical control machine tool cutting fluid cyclic utilization control system which comprises a machine tool equipment authentication module, a pumping module, a filtering module, a cooling module, a concentration adjusting module and a machine tool equipment scrapping module. The concentration adjusting module detects the concentration of the received standard cutting fluid, when the concentration is lower than a normal value, processing is conducted through all the devices, the pumping module monitors the cutting state of all machine tool equipment in real time and adjusts the pumping flow, and the filtering module removes impurities in the working cutting fluid according to all the devices. And the cooling module monitors and analyzes the temperature of each treatment cutting fluid according to a temperature sensor, so that the problems caused by a traditional cutting fluid use mode are solved, cyclic utilization of the cutting fluid is realized, and contribution is made to sustainable development of the manufacturing industry.

The invention belongs to the technical field of battery thermal management, and discloses a battery pack and a phase change material coupling liquid cooling composite thermal management system.The battery pack comprises a plurality of battery structures, each battery structure comprises a lithium battery, a fin structure, a phase change material filling area and a liquid cooling plate, and the fin structure is arranged on the periphery of the lithium battery; the liquid cooling plate is arranged on the periphery of the fin structure, a phase-change material filling area is formed between the liquid cooling plate and the fin structure, and the phase-change material filling area is filled with a phase-change material for absorbing redundant heat and generating phase change, so that the temperature fluctuation of the battery is reduced. The lithium bromide heat pump and the direct-current power supply are combined, and accurate adjustment of the temperature of the battery pack is achieved through efficient heat exchange and intelligent control. The system can be rapidly switched between a cooling mode and a heating mode, and it is ensured that the battery is always kept within the optimal temperature range in different working environments.

The invention relates to a secondary water supply optimal scheduling method and device for a building, and aims to realize efficient, stable and intelligent operation of a secondary water supply system through water supply demand prediction, multi-objective optimal scheduling and real-time monitoring and feedback. The method comprises the following steps: predicting future water demand by using a long short-term memory neural network, constructing a multi-objective optimization model containing energy consumption, water supply pressure and pump set life, and solving an optimal scheduling scheme by adopting a genetic algorithm. By monitoring water supply pressure and flow in real time and dynamically adjusting start and stop and frequency conversion speed regulation of the water pump, energy-saving operation of the system is ensured, and the service life of equipment is prolonged. The system is suitable for secondary water supply systems of high-rise buildings and large building groups.

The invention relates to a constant-current light source driver power control method and device, and the method comprises the steps: obtaining the light source type, driving parameters and working environment information of a constant-current light source driver, and carrying out the integration, and obtaining the corresponding basic control parameters of the driver; acquiring power data and temperature data of the constant-current light source driver, and performing association processing on the power data and the temperature data and light source characteristics to obtain corresponding real-time light source driving parameters; dynamically analyzing the basic control parameters of the driver according to the real-time light source driving parameters to obtain a corresponding power regulation trend; identifying the working state of the light source according to the basic control parameters of the driver to obtain corresponding working mode information, and predicting the working mode information based on the power regulation trend to obtain a corresponding protection strategy; and comprehensively analyzing the initial power control scheme and the protection strategy to obtain a corresponding global power regulation and control scheme. According to the invention, global power optimization regulation and control of the light source driver can be realized.

The invention relates to the technical field of machine learning, and discloses a model file loading method and system, computer equipment and a storage medium, and the method comprises the steps: obtaining an update request when an inference service is started; if it is detected that the updating request carries a local storage path of the model file, taking the local storage path as a target storage volume of a target scheduling unit; mounting the target storage volume in an initialization container of the target scheduling unit, and generating a target mounting item of the initialization container; generating response information based on the target storage volume and the target mount item, wherein the response information is used for updating the target scheduling unit to establish a communication link between the updated target scheduling unit and the local directory; and response information is sent to the first slave node, so that the first slave node updates the target scheduling unit and loads the model file based on the communication link. According to the method, the problems of high transmission delay, redundant occupation of hard disk resources, limitation of namespace and the like in the model file loading process can be solved.

The invention relates to the technical field of power-assisted robots, in particular to a self-adaptive control lower limb hydraulic power-assisted exoskeleton robot system which comprises a waist supporting device, a leg supporting device, a foot supporting device, a hydraulic power-assisted assembly, an attitude sensor, a lower limb force sensor, a wearable electromyogram sensor, a step obtaining module and a data analysis module. The system can intelligently adjust the output power of the hydraulic power assisting assembly according to the motion posture of the exoskeleton, the pressure data of the foot supporting device and the wearing target muscle state so as to provide proper walking assisting power and bearing support, and the system can further conduct secondary adjustment and fatigue alarm by monitoring the pace frequency and the muscle fatigue degree in real time. The exoskeleton assisting power output power in the carrying process is gradually adjusted according to the comparison result between the weight of the wearing target and the weight of the to-be-moved object, so that assisting power provided by the exoskeleton robot is effectively matched with the weight of the to-be-moved object when the wearing target carries the object.

The invention discloses a semiconductor device and a manufacturing method thereof, a power module, a power conversion circuit, and a vehicle. The semiconductor device includes a semiconductor body including a well region, a first region, and a second region; the well region is located on the side, away from the first surface, of the first region; the first surface is also provided with a gate trench and a source trench; the second region surrounds the bottom surface and the side wall of the source trench; the trench gate is positioned on one side, far away from the semiconductor body, of the insulating layer in the gate trench; the source trench structure comprises a filling layer located in a source trench; the ohmic contact resistance between the ohmic contact layer and the semiconductor body is smaller than the ohmic contact resistance when the metal titanium and the semiconductor body form ohmic contact; and no chemical reaction intermediate product exists between the filling layer and the ohmic contact layer at the annealing temperature of the ohmic contact layer. According to the technical scheme provided by the embodiment of the invention, the electrical performance of the semiconductor device is improved.

The invention relates to the technical field of heat exchanger control, and particularly discloses a system and method for optimizing and controlling a heat exchanger through a neural network, the system comprises a data acquisition and processing system and a control decision system, a parameter acquisition module is used for collecting operation parameters of the heat exchanger, and a data preprocessing module is used for preprocessing the operation parameters; when the predicted flow is in a preset reasonable flow interval, the flow valve opening degree is adjusted according to a predicted value, if the predicted flow exceeds the reasonable flow interval, the size of an out-of-range is further judged, if the out-of-range is small, deviation information is recorded, and if the out-of-range is large, an alarm is triggered, and fault maintenance information is prompted. The temperature of a material outlet can be stable, great advantages are achieved for heat-sensitive materials, the inlet and outlet states of the heat exchanger can be monitored and predicted in real time, the purpose of real-time monitoring and alarming can be achieved, the safety in the industrial process can be improved, the inlet cooling water flow can be regulated and controlled in real time, and cooling water consumption can reach the optimal value.

The invention discloses an industrial emission carbon and emission reduction real-time monitoring device and a use method thereof, and belongs to the technical field of industrial emission monitoring. An industrial emission carbon reduction and emission reduction real-time monitoring device comprises a detection device shell, a detection plate is installed outside the detection device shell, and a second fan is installed at the lower end of the detection device shell; and three upper-layer filter plates and three lower-layer filter plates are mounted in the detection device shell. The problems that an existing emission monitoring device cannot treat monitored carbon emission gas, and long-term work of the monitoring device is affected are solved, a servo motor is adjusted through a PLC module, an upper-layer filter plate and a lower-layer filter plate are driven to move, the upper-layer filter plate and the lower-layer filter plate are arranged in a targeted mode, and under the condition that the carbon emission reaches the standard, the carbon emission can be effectively controlled. The upper-layer filter plate and the lower-layer filter plate can be rotated to a vertical position, so that filter elements in the filter plates are prevented from being consumed, and the service life of equipment is prolonged.

The invention relates to a method and a system for absorbing and solidifying carbon dioxide by using metallurgical industry waste brine and ammonia water, which are characterized in that alkali is prepared by combining waste brine, ammonia water and industrial tail gas, CO2 and NaCl in the industrial tail gas containing CO2 and industrial waste brine are converted into recyclable sodium bicarbonate products, CO2 is absorbed and solidified, the emission of greenhouse gases is reduced, the industrial waste brine is comprehensively utilized, and the production cost is reduced. The industrial waste brine treatment problem is effectively solved, and waste resource utilization is truly achieved. According to the invention, manpower, material resources and financial resources consumed for treating industrial tail gas and industrial waste brine by a traditional process are avoided; and the use of an ammonia absorber is avoided on the system, the process flow is simplified, and the operation cost is reduced.

The invention relates to a social action completion degree evaluation method and system based on action segmentation, and the method comprises the steps: guiding a user to make a plurality of evaluation actions, and collecting the user action data flow of each evaluation action; for each evaluation action, extracting action judgment data of each frame in the corresponding user action data stream; and for each evaluation action, calculating an evaluation index according to the action label of each corresponding frame, and outputting the evaluation index. According to the invention, through formulating the assessment process of the system, the demand for rehabilitation professionals is reduced, and the problems that the assessment professionals are insufficient and human resources are consumed due to manual assessment, and the result of manual assessment is often based on the subjective feeling of the professionals and lacks specific and objective assessment indexes are avoided.

The invention discloses a deep mutation scanning method based on protein-protein interaction in bacterial cells and a binding affinity prediction method. In the invention, split dCas9 proteins (SEQ ID NO.1 and SEQ ID NO.2) are respectively subjected to fusion expression with a receptor and a ligand with binding affinity to be detected, and are combined with a toxic sgRNA guide sequence (SEQ ID NO.3), and when PPI occurs, a toxic dCas9: sgRNA complex is formed to inhibit bacterial growth, so that a PPI affinity size signal is converted into a bacterial cell generation speed signal, and the signal can be quantified into a copy number value through next-generation sequencing. The invention further designs a deep learning binding affinity prediction model, high-affinity sequences can be screened from theoretical mutation space, the workload and cost of experimental verification are remarkably reduced, and a reliable basis is provided for subsequent protein function optimization and design.

The utility model provides a light shielding pipe polishing treatment device, and belongs to the field of light shielding pipes. The problem that the ultra-long and small-diameter light shielding pipe is difficult to polish is solved. The light shielding pipe fixing mechanism comprises a fastening assembly which is used for fixing a light shielding pipe; the grinding mechanism comprises a driver, a rod piece connected to the rotating end of the driver and a grinding head assembly connected to the far end of the rod piece, the diameter of the grinding head assembly is larger than the inner diameter of the light shielding pipe, and the grinding head assembly comprises a flexible layer capable of being compressed in the radial direction of the light shielding pipe and a grinding layer arranged on the peripheral side of the flexible layer in a sleeving mode; the flexible layer is used for supporting the polishing layer to be attached to the inner wall of the light shielding pipe when the inner wall of the light shielding pipe is polished. The light shielding pipe polishing device is mainly used for polishing light shielding pipes.

The invention relates to the technical field of hydrogen production, in particular to equipment for preparing hydrogen from biomass, a method for preparing hydrogen from biomass and application. The equipment comprises a biomass pretreatment system and a chemical-looping hydrogen production system, wherein the biomass pretreatment system comprises a drying unit, a crushing unit and a granulating unit; the chemical-looping hydrogen production system comprises a biomass hydrogen production reduction reactor, a hydrogen purification device and a dust remover; the dust remover is connected with a regeneration storage tank and an air oxidation reactor; the air oxidation reactor is connected with the biomass hydrogen production reduction reactor; the granulating unit is connected with the biomass hydrogen production reduction reactor; a first heat exchanger is arranged between a synthesis gas outlet of the biomass hydrogen production reduction reactor and the hydrogen purification device, and a water vapor outlet of the first heat exchanger is connected with the biomass hydrogen production reduction reactor; and an oxygen-poor waste gas outlet of the air oxidation reactor is connected with the drying unit. The equipment is simple in structure, waste heat is fully utilized, energy consumption is reduced, hydrogen purity and yield are improved, and carbon dioxide is captured.

The invention discloses a scenic spot intelligent management and control system and method based on Internet of Things and big data analysis, and particularly relates to the technical field of scenic spot intelligent management and control. The real-time performance of data transmission between devices in a scenic spot is predicted and modeled through a big data analysis algorithm, the data transmission rate between the devices is adjusted according to a prediction result, and meanwhile, the working state of the devices is dynamically scheduled in combination with an energy management system, the energy efficiency of the devices is optimized, and tourist flow data is recollected. The flow fluctuation is analyzed by using a machine learning algorithm, so that accurate personnel dispersion and resource scheduling optimization decision are realized, the problems of insufficient network bandwidth, data transmission delay and packet loss in a scenic spot are effectively solved, the real-time performance and accuracy of data transmission are improved, and especially in a remote area, the real-time performance of the scenic spot is improved. The intelligent management and control system of the scenic area can reflect dynamic conditions in real time, and the management efficiency and tourist experience are improved.

The invention discloses a central air conditioner energy-saving control system and method based on artificial intelligence, relates to the technical field of air conditioner energy-saving control, and solves the technical problems that in the prior art, when a central air conditioner operates, temperature detection evaluation cannot be conducted on the central air conditioner, and it cannot be guaranteed that the temperature detection performance of the central air conditioner meets the requirement. The marking module is used for marking a central air conditioner coverage area as a control area, obtaining a main circulation route and a secondary circulation route of the control area and determining an air supply point; taking the air supply point as a starting point and the main circulation route as a track, dividing the main circulation route into a plurality of sub-positions, and according to the sub-positions, inferring air supply point effects, high effects, energy-saving regulation and control, low effects and frequency conversion control so as to meet control requirements; temperature floating speed deviation information and temperature floating control area information are collected, and temperature detection analysis control is conducted according to information analysis.

The invention discloses steel for a low-cost efficient gas shielded welding wire and a production method of the steel. The steel comprises the following chemical components in percentage by mass: 0.03-0.10% of C, 0.80-1.60% of Mn, less than or equal to 0.020% of S, less than or equal to 0.020% of P, 0.50-1.00% of Si, less than or equal to 0.010% of V, Ti, Nb and Alt, less than or equal to 0.030% of Cr, Ni and Cu, less than or equal to 0.0010% of Ca, less than or equal to 0.0045% of N and the balance of Fe and inevitable impurities. The production method comprises the steps of converter smelting, LF external refining, square billet continuous casting, straight roller way conveying, hot rolling spinning and air cooling packaging. The crystallizer adopts electric stirring and final stirring, the central shrinkage cavity and central segregation of a continuous casting billet are eliminated, a wire product with the specification of phi 5.0-7.0 mm is produced by adopting a heating-free direct rolling technology, and the steel for the gas shield welding wire is efficiently produced at low cost.

The invention provides a water conservancy safety detection method based on AI edge calculation, and the method comprises the steps: deploying a sensor in a water conservancy system according to the installation and coding of the sensor, coding the sensor, and recording the geographic position information and measurement physical quantity of the sensor; setting measurement parameters, and setting a measurement interval value and a threshold value of each sensor; data linkage setting: defining data linkage selection data, and triggering pump IO output when the data reaches a specific interval threshold value; the method comprises the following steps: monitoring sensor data in real time, if the data is abnormal, starting a video AI to check, comparing whether the result is consistent, if the video AI confirms that the sensor data is abnormal, intercepting a real-time video as sample data, sending the sample data to a cloud server, triggering a corresponding alarm according to the abnormal condition, and notifying related personnel to process. The accuracy and timeliness of abnormal condition detection are improved, and a powerful guarantee is provided for safe operation of a water conservancy system.

The invention discloses an electricity, gas and suspension three-composite lithium ore roasting kiln system and process. The alpha-type spodumene is converted into the beta-type spodumene through constant-speed drying and preheating of a suspension preheating device, primary roasting of an electric heating kiln and secondary roasting of a gas kiln. Compared with traditional transformation roasting of spodumene in a rotary kiln with natural gas as fuel, the method has the advantages that the temperature of spodumene is increased to 600-800 DEG C through preheating of the suspension preheating device and one-time roasting of the electric heating kiln, only the rear-section temperature rising work needs to be completed in the gas kiln, a large amount of natural gas resources can be saved, meanwhile, emission of carbon dioxide is reduced, and the production cost is reduced. The device accords with the national carbon neutralization policy, and is very suitable for being used in areas which are lack of natural gas, rich in electric power reserve or low in electricity price and high in environmental protection requirement.

The invention discloses an automatic water-cooled power supply host system with independent partitions, and belongs to the technical field of power electronics, and the system is characterized in that the system comprises a host body, the host body is internally provided with a partition shelf, and the partition shelf is internally provided with a cavity. Each cavity is provided with an independent cooling coil, when a heating element corresponding to a certain cavity works to generate heat, a liquid pump sucks cooling liquid from an inlet pipe, the cooling liquid is accurately distributed through a flow dividing pipe and a flow control structure and then enters the cooling coil of the cavity, and by means of the independent cooling mode, when one cavity breaks down, the cooling liquid can be cooled by the liquid pump. The cooling liquid circulation is only influenced in the loop of the cavity, other cavities can still work normally, the reliability of the system is greatly improved, the overall downtime caused by local faults is shortened, and meanwhile, due to the design of the independent cavities, workers can quickly position fault points conveniently, and only the fault cavity is maintained and repaired.

The invention discloses a method for removing thiocyanate radicals in cyanide-containing wastewater, and belongs to the technical field of metal refining. The method comprises the following steps: adding concentrated sulfuric acid to adjust the pH value of cyanogen-containing wastewater to 2-3, carrying out a stirring reaction, filtering, adding sodium hydrosulfite into a filtrate, simultaneously adding concentrated sulfuric acid to maintain the pH value to 3-5, carrying out a stirring reaction, firstly introducing a sodium sulfite acidic solution into overflowed H2S and HCN gas to absorb H2S gas, and then introducing a sodium hydroxide strong alkaline solution to absorb HCN gas. Aiming at cyanide-containing wastewater subjected to acidification treatment, firstly, a strong reducing agent sodium hydrosulfite is added to reduce SCN <-> into H2S and HCN with recycling value, then H2S is absorbed, elemental sulfur is recovered, finally HCN is absorbed, CN <-> is recovered, and the method is used for cyaniding gold extraction of a gold leaching system. The absorption and separation of H2S and HCN gas are realized, the recovery of elemental sulfur and CN <-> is further realized, and other ions are not introduced into a water supply system.

The present invention discloses a microwave anti-icing device and method for wind turbine blades, which belongs to the field of wind power generation technology and can solve the problems of limited anti-icing efficiency, low durability, and certain safety hazards of existing anti-icing technologies. The device includes: a first microwave generator, which is arranged on the inner cavity wall of the wind turbine blade, and its microwave emitting end faces the leading edge of the blade; a second microwave generator, which is arranged on the outer wall of the wind turbine tower, and its microwave emitting end faces the blade of the wind turbine; a third microwave generator, which is arranged directly below the swept surface of the blade, and its microwave emitting end faces the tip of the wind turbine blade; a microwave control and signal transmission unit, which is used to control each microwave generator to emit microwaves to the blades of the wind turbine for deicing according to different working conditions of the wind turbine without affecting the energy efficiency output of the unit. The present invention provides a new method and idea for the current winter and spring anti-icing project of wind turbine blades.

The invention relates to the technical field of video playing rendering, in particular to a browser-based high-efficiency rendering method and system for video playing, and the method comprises the steps: S1, reading a timeline of a video, judging whether all elements in a CG track can be supported by a browser, if all elements can be supported, transmitting the CG track to the browser, and if all elements in the CG track can be supported by the browser, transmitting the CG track to the browser; the A-track content and the V-track content in the video are transmitted to a synthesis rendering module; s2, creating a channel of a browser CEF and a synthesis rendering module, and creating a JS timeline renderer which is a rendered CG track; and S3, superposing the rendered V rail and the rendered CG rail, and then superposing the A rail. The method has the beneficial effects that the synthesis rendering module utilizes the browser CEF to assist in creating the JS timeline renderer, so that the interaction frequency is reduced, the synthesis rendering efficiency is improved, the resource loading performance is optimized, the visual effect is enhanced, and the development and maintenance are convenient.