8961 results about "Electric heating" patented technology

Electric heat for generating smoke from tobacco or the like in a hookah type smoking pipe. Electric heat is obtained from an electrically powered heating element which may be placed proximate the tobacco. The heating element may be contained within a housing which in turn may be placed above the smoking chamber of the hookah. The housing may have adjustably damped holes disposed to pass air over the heating element. Electrical circuitry serving the heating element may comprise a step down transformer and a voltage adjusting switch. The heating element may be integral with the hookah, may take the form of a separate component which is mountable over the smoking chamber of the hookah, or may comprise a free standing assembly which may be placed to stand adjacent to the hookah.

The invention relates to the technical field of power equipment state monitoring, in particular to a lightning arrester state monitoring method, system and equipment based on multi-physics field coupling and a storage medium. Acquiring current-voltage characteristic parameters, temperature distribution data and mechanical stress data of the lightning arrester, performing electro-thermal-mechanical coupling analysis based on multi-physical field monitoring data, identifying overlapping positions of an electric field distortion area, a temperature abnormal area and a stress concentration area, and determining the overlapping positions as a degradation key area; establishing a correlation response relationship between the leakage current and the temperature and a transfer response relationship between the temperature and the mechanical stress for the deteriorated key area; on the basis of the leakage current change trend of the degradation key area and the coupling influence of the superimposed temperature field and stress field, a degradation feature fusion factor is constructed, the evolution law of the degradation feature fusion factor in the time sequence is analyzed, and the degradation threshold value under the multi-field synergistic effect is determined in combination with the electric-thermal coupling acceleration effect and the thermal-mechanical coupling weakening effect.

The invention discloses an energy storage system state evolution trend prediction method based on multi-source data fusion. The method comprises the steps of terminal voltage, current and temperature time sequence data acquisition, time sequence segmentation normalization, multi-physics field coupling feature construction, trend prediction model construction and training and energy storage system state evolution trend prediction. According to the method, the distinguishing capacity of the model for charging and discharging physical characteristics is improved, meanwhile, the voltage change rate, the multi-dimensional feature vector of the differential internal resistance and the thermal-electric coupling effect and the explicit encoding electric-thermal-resistance coupling relation are constructed, the transient response and the temperature hysteresis effect can be effectively captured, and then the model can be used for analyzing the charging and discharging physical characteristics. A degradation-aware cross-cycle feature extraction and gating mechanism is adopted, short-term fluctuation and long-term trend are adaptively balanced in multi-scale prediction, the prediction conflict problem is relieved, finally, physical constraints based on the electrochemical law and the internal resistance temperature characteristic are embedded in a loss function, it is ensured that the prediction result is accurate in numerical value and conforms to the physical law, and the prediction accuracy is improved. And generation of physically impossible solutions is avoided.

The present invention relates to the technical field of control cabinets, and provides an electrical control cabinet for a thermal power plant, comprising an electrical control cabinet, wherein the electrical control cabinet is provided with a plurality of ventilation openings, a heat absorption plate is fixedly mounted on an inner wall of the electrical control cabinet, a heat dissipation structure is mounted on the heat absorption plate, four connecting bases are symmetrically and fixedly mounted on a top side of the electrical control cabinet, a ventilation structure is mounted on the four connecting bases, two mounting frames are symmetrically and fixedly mounted on the top side of the electrical control cabinet, and an anti-snow structure is mounted on the two mounting frames. According to the present invention, heat dissipation is achieved by means of a combination of heat conduction and air cooling, thereby further improving the heat dissipation effect of the electrical control cabinet. When the present invention is used in winter, if the ambient temperature is low, a fan and an electric heating tube can be turned on to heat internal equipment within the electrical control cabinet, so as to prevent any impact on the operation of the equipment due to excessively low temperatures; when the present invention is used outdoors, a protective metal roof can be employed for snow protection. Furthermore, the present invention also includes a snow removal function.

The invention discloses an existing wind power blade electrothermal film deicing control method based on big data, and relates to the technical field of wind turbine generator operation control and ice prevention and removal. Frost ice / glaze ice probability output by an ice type discrimination model does not only give an alarm any more, but is directly converted into an increase / decrease coefficient constrained by boundary and monotonicity; energy can be fully put in a glaze ice scene, and overheating and over-consumption can be avoided in a frost ice scene; according to the method, the change trend of wind speed, temperature and relative humidity is introduced as modulation factors, the working condition of forming / turning glaze ice is responded in advance, and insufficient deicing caused by static threshold hysteresis is reduced; according to power deviation correction, a unit wind speed-power curve serves as a reference, a dead zone, segmented gain and accumulative saturation structure is adopted, on the premise of not depending on an external icing sensor, extrinsic performance of pneumatic degradation is closed into controlled quantity, sensitivity and stability are considered, and start-stop oscillation and duration drift are reduced.

The invention relates to the technical field of connector detection, and discloses a reliability detection method based on a connector. The method comprises the following steps: acquiring real-time monitoring data of a multi-channel electrical sensor of a connector in a power-on state, wherein the real-time monitoring data covers a contact impedance fluctuation sequence, temperature rise gradient distribution and an electromagnetic leakage intensity spectrum; performing time-frequency domain fusion processing on the monitoring data, and extracting dynamic characteristic parameter sets such as impedance attenuation rate, heat conduction lag coefficient and field intensity distortion factor of each contact point; then, according to the parameter space distribution difference, a three-dimensional degradation model comprising a material performance attenuation layer, a contact surface deformation topology layer and an insulating medium loss layer is constructed; coupling mechanical stress and electric heating field intensity distribution based on the model, and generating life prediction indexes of each region; and finally, completing reliability grading according to the indexes, and outputting a detection report with key failure position marks. According to the method, comprehensive and accurate evaluation of the reliability of the connector is realized, and an effective technical path is provided for quality control of the connector.

The invention provides a data center calculation, electricity and heat collaborative optimization scheduling method and system, and relates to the technical field of comprehensive energy scheduling. According to the scheduling method and system, a collaborative scheduling model of computing power, electric power and thermal power is constructed, and a user side thermal demand response mechanism is introduced, so that mismatching of waste heat supply of a data center and user thermal demand in time and space is dynamically relieved, and the waste heat utilization rate and the overall energy efficiency of the system are remarkably improved; by establishing a joint optimization framework, a complex coupling relationship among computing power, electric power and heating power is accurately described and coordinated, so that the comprehensive operation cost of the data center is minimized on the premise of ensuring the service quality of the workload of the data center; and a large language model-assisted deep learning algorithm is further adopted to solve the scheduling model so as to cope with multiple challenges of workload fluctuation, electricity price change and heat demand uncertainty, and a self-adaptive, intelligent and interpretable scheduling decision is realized.

The invention discloses a source-grid-load-storage integrated coordinated management and control system for an intelligent micro-grid, and relates to the technical field of intelligent micro-grids and comprehensive energy regulation and control. The system comprises the following components: a multi-energy-flow data acquisition unit, a multi-energy-flow coupling modeling and optimizing unit, a multi-energy-flow gradient utilization execution unit, a mode self-adaptive switching unit and a main control unit, according to the invention, through a multi-energy flow coupling modeling and optimization unit, an electric-thermal-gas multi-energy flow coupling model comprising a heat supply network transmission loss calculation sub-model is constructed, a renewable energy consumption constraint sub-model is additionally arranged, and an improved hybrid particle swarm optimization algorithm is adopted to carry out dynamic optimization solution, so that an optimal scheduling strategy is generated; according to the strategy, the consumption rate of renewable energy sources is increased, electricity-heat gradient utilization and efficient configuration are achieved through a heat energy distribution priority regulation and control mechanism and efficiency optimization control of the waste heat recovery module, and dependence of heat loads on electric energy is remarkably reduced.

The invention relates to the technical field of power system monitoring, and particularly discloses a cable current-carrying capacity dynamic evaluation and early warning system based on distributed sensing. The system comprises a distributed sensor network, edge computing nodes, a block chain privacy computing platform and a dynamic evaluation and early warning center. The sensing network collects multi-source physical parameters of the cable in real time; carrying out local preprocessing and feature extraction on the edge nodes; the privacy computing middle station cooperatively constructs and solves an electricity-heat-aging joint model and outputs a cable thermal state and an aging coefficient on the premise of not leaking special models and data of all parties through federated learning and a safe multi-party computing technology; and the early warning center calculates the dynamic current-carrying capacity, evaluates the health state and implements graded early warning. According to the invention, accurate and safe dynamic evaluation and intelligent early warning of the current-carrying capacity of the cable are realized.

The invention provides a field emission thruster extraction electrode indium deposition cleaning temperature control method and system, and relates to the technical field of space electric propulsion, and the method comprises the steps: obtaining multi-source temperature data and electric field intensity data of a target region, and carrying out the time-space fusion processing of the two data, and generating target feature information reflecting the deposition state of an indium material; based on the feature information, a fuzzy PID control algorithm is adopted to generate a power control signal, and then the embedded heating unit is adjusted; monitoring electrothermal characteristics to obtain thermal impedance parameters, and further generating heat flow distribution data; analyzing heat flow data by using a state observer to predict an indium deposition growth trend to obtain deposition rate information, finally determining a cleaning control strategy according to the growth rate, and controlling temperature change in a non-uniform heating mode to enable the indium material to reach a phase change state. According to the invention, the reliability and maintenance efficiency of on-orbit long-term operation of the field emission propeller are improved.

The invention discloses a photovoltaic module early-stage fault early-warning method based on electric-thermal characteristic joint analysis, and belongs to the field of photovoltaic module early-stage fault early-warning, and the method comprises the steps: segmenting an irregular high-temperature or low-temperature region according to a temperature distribution image through employing a data segmentation algorithm, and extracting the boundary contour and area quantification characteristics of the abnormal region; performing joint feature vector construction by using the abnormal region boundary contour and area quantization feature and the current and voltage fluctuation amplitude in the electrical signal time sequence to obtain the comprehensive fault diagnosis vector; according to the preliminary fault classification label, extracting a temperature electrical corresponding association mode of a similar fault case from a historical fault diagnosis database, and obtaining an enhanced fault corresponding relation model; and generating a system risk assessment report by adopting the final fault diagnosis classification result, triggering a corresponding alarm mechanism, and judging the overall risk level of the renewable energy system.

The invention relates to the technical field of power system demand side management and optimization operation, and discloses an electric heating load master-slave game collaborative optimization method based on AP clustering and adjustable potential modeling, which comprises the following steps: establishing a directly-heated electric heating indoor heat transfer model to analyze a single user to obtain load characteristics of heating users; a decentralized electric heating load refined aggregation model is constructed, and decentralized heating users are divided into different clusters; an adjustable potential quantification model is constructed, and the adjustable electric quantity and the adjustable potential of each cluster are obtained; and a heating load group optimization operation model based on the master-slave game is constructed, power grid purchase and sale electricity price information, distributed power supply cost information, adjustable electric quantity and adjustable potential are input, and a power utilization behavior adjustment strategy is obtained. According to the method, through refined house type clustering, master-slave game framework design and an improved solution algorithm, precise mining and optimized operation of the heating load group regulation potential are realized, the peak regulation pressure of a power grid is effectively reduced, and the comfort of a user is considered.

The invention discloses a grounding grid electric heating power multi-field coupling modeling method and system considering soil nonlinear breakdown, and belongs to the technical field of power system grounding grids. The method comprises the following steps: establishing a three-dimensional geometric model containing a soil domain and a grounding grid conductor; defining non-linear conductivity characteristics of the soil; setting multi-physical field parameters and corresponding boundary conditions of the three-dimensional geometric model; and establishing a multi-physical field coupling control equation set including an electric field equation, a heat conduction equation and a thermal stress equation, and solving by adopting a finite element method to obtain three-dimensional space distribution data of the grounding grid under lightning current impact. According to the invention, on the basis of fully considering the nonlinear breakdown characteristic of the soil, the accurate simulation of the electric heating power multi-physical field behavior of the grounding grid under the impact current effect is realized, and the accuracy of impact impedance, potential distribution and temperature rise prediction is obviously improved.

The invention relates to the technical field of electrical equipment state monitoring, in particular to an intelligent circuit breaker electrical life detection method and system based on data analysis. The method comprises the following steps: synchronously acquiring opening coil voltage and current sequences, a main loop current sequence and environment temperature data when a circuit breaker acts, extracting actually measured action time based on the coil data, and calculating a mechanical health degree factor by combining the environment temperature and the actually measured action time; after decoupling correction is carried out on an electrodynamic force interference factor derived by a peak current of a main loop, a mechanism wear state index is obtained; a nonlinear damage model containing basic electric heat loss and mechanical degradation acceleration factors is constructed, a single-time electric life loss value is calculated, historical loss values are accumulated, a dynamic threshold value is combined to realize full-life-cycle prediction, and evaluation interference of environmental factors and large-current electrodynamic force is eliminated through deep data analysis. The nonlinear acceleration effect of mechanism hysteresis on contact ablation is quantified, and the detection precision is remarkably improved.

The invention belongs to the technical field of multi-energy micro-grid system optimization scheduling, and particularly relates to a multi-energy micro-grid distribution robust low-carbon economic scheduling method based on deep learning, electronic equipment and a medium. According to the method, a mathematical model of a multi-energy micro-grid system is established according to coupling characteristics of various energy sources among power systems. In order to improve the economical efficiency and the low-carbon property of the system, a load demand response mechanism and a carbon transaction mechanism are adopted, and an electric heating load demand response model and a reward and punishment type stepped carbon transaction model are constructed. In order to solve the wind and light uncertainty of the integrated energy system and improve the robustness of the system, a scene set of uncertain variables is generated by using a conditional generative adversarial network in deep learning, and the generated scenes are clustered by using a K-means clustering method to obtain typical scenes. In order to obtain more real probability distribution, a fluctuation range of a typical scene is constrained by using a comprehensive norm, and a probability distribution fuzzy set of uncertain variables is obtained. And based on the constructed fuzzy set, the demand response model and the reward and punishment type stepped carbon transaction model, a two-stage distribution robust low-carbon economic optimization model of the multi-energy microgrid is established, in the first stage, an energy storage equipment start-stop plan of the system is determined, and in the second stage, an initial plan is adjusted and supplemented after uncertainties are revealed. And finally, carrying out iterative solution on the established model by utilizing a column and constraint generation method to obtain an optimal scheduling scheme, thereby ensuring the low-carbon property, the economical efficiency and the robustness of the system.

The invention discloses a medium-frequency transformer insulation electrothermal aging evaluation method, a test device and a storage medium, and relates to the technical field of power transformers. The medium-frequency transformer insulation electric heating aging test device comprises a function signal generator, a high-voltage power amplifier, a protection and isolation unit, an electric-heat combined aging oven and a detection and monitoring unit. The electrothermal aging evaluation method comprises the following steps: acquiring an aged sample, testing the ultimate tensile strength and polymerization degree of the aged sample, introducing a frequency correction factor to correct an attenuation constant under a power frequency condition, establishing tensile strength attenuation equations under different frequencies, and evaluating the tensile strength of the aged sample. And respectively fitting the maximum value of the accumulated loss rate and the change rate of the accumulated loss rate under different frequencies to obtain a polymerization degree accumulated loss rate improvement formula, and carrying out aging characteristic analysis on the insulation of the intermediate-frequency transformer according to the actual working condition of the insulation of the intermediate-frequency transformer. According to the technical scheme, the blank of medium-frequency transformer insulation electrothermal aging research is filled.

The invention discloses a thermosetting mold pressing mold and a temperature and pressure control system, which comprise an upper mold and a lower mold, and are characterized in that according to cavities, runners and sprue structures of the upper mold and the lower mold, lower molds matched with the cavities, the runners and the sprue structures are respectively and independently arranged in the upper mold and the lower mold; embedded electric heating tubes are arranged in the lower dies, temperature sensors are arranged at the ends of the embedded electric heating tubes, pressure sensors are arranged on the lower dies, and the programmable logic controller is electrically connected with the multiple embedded electric heating tubes, the multiple temperature sensors and the multiple pressure sensors; and the data storage module is connected with the programmable logic controller and is used for storing a plurality of temperature-pressure data pairs preset for each feature structure, and each temperature-pressure data pair defines a target temperature value and a target pressure value corresponding to the feature structure under a specific stage or pressure condition in the mold pressing process.

The invention discloses a multi-time-scale park integrated energy system distribution robust optimization scheduling method, which comprises the following steps of: constructing an electric heating collaborative system model taking a combined heat and power generation unit as a core, and introducing a carbon transaction mechanism; constructing a confidence set in combination with a 1-norm and an infinity-norm, and respectively making a robust start-stop plan and a flexible operation strategy in day-ahead and intra-day two-stage scheduling; a column and constraint generation algorithm is adopted to decompose the constructed day-ahead and intra-day two-stage model into a main problem and a sub-problem for repeated iterative solution, and an optimal scheduling scheme with both economical efficiency and robustness is obtained. According to the method, the uncertainty of new energy prediction is fully considered, and the coping of the park to the randomness of the new energy can be better played through processing of different time scales.

The multifunctional massager is characterized in that: a mounting cavity and a massage cavity are arranged on the shell, a driving device, an air suction pump and an electric control valve are mounted in the mounting cavity, a mounting cylinder and a flexible massage cylinder are placed in the massage cavity, the flexible massage cylinder is mounted in the cylinder cavity of the mounting cylinder, an electric heating sheet is bonded on the inner wall of the cylinder cavity of the mounting cylinder, and / or a vibrator is embedded in the flexible massage cylinder; the air suction port of the air suction pump is connected with the air outlet of the electric control valve through a pipeline, the air inlet of the electric control valve is connected with the air exhaust port of the massage cylinder through a pipeline; the driving device drives the telescopic rotating movement of the telescopic part, the central mounting part of the mounting cylinder is mounted on the telescopic part of the driving device, and the electrically conductive structure is arranged between the telescopic part and the central mounting part of the mounting cylinder; the electrically conductive structure is electrically connected with the vibrator and / or the electric heating sheet through the electrically conductive wire. The multifunctional massager realizes the tight and loose massage, the friction massage, the vibration massage and the heating massage on one massager, so that the massage mode is diversified.

The invention provides a Q890qE and Q420qE bridge steel flat butt joint combined welding method which comprises the following steps: step 1, grinding and derusting grooves of upper and lower asymmetric double-sided V-shaped joints to expose metallic luster; 2, preheating is conducted in an electric heating mode; 3, a solid welding wire CO2 gas shielded welding is adopted for backing welding of one weld joint on the upper V-shaped deep groove side; 4, welding seams are filled in the side of the V-shaped deep groove through submerged arc automatic welding, and the filling thickness is about 1 / 2 of the groove depth; 5, back gouging is conducted on the back face through carbon arc air gouging, and a carburized layer is polished and cleaned till metallic luster is exposed; 6, the V-shaped shallow groove is welded and filled; seventhly, the submerged arc automatic welding continues to weld the remaining weld joints of the V-shaped deep groove till the remaining weld joints are filled; and 8, postweld heat treatment is conducted. According to the method, a combined welding method of solid welding wire CO2 gas shielded welding bottoming, submerged arc automatic welding filling and capping is adopted, the problems of welding cold cracking and early joint breakage of the dissimilar bridge steel are solved by combining joint design, and the mechanical properties of a welding seam and a fusion area meet the standard requirements.

The invention relates to the technical field of electric heater preheating, in particular to an electric heater preheating system and method. Wherein the electric heater comprises a shell, an electric heating tube and a junction box; the preheating device comprises a hot air module, a control module, a pressure sensor, a temperature and humidity sensor and a switch valve. The hot air module comprises a draught fan, a heating piece and a connecting air pipe, and the connecting air pipe is connected with the first pipe opening so that hot air generated by the hot air module can be input into the shell through the first pipe opening. The second pipe orifice is used for discharging air, the pressure sensor and the temperature and humidity sensor are arranged at the second pipe orifice to detect a pressure value, a temperature value and a humidity value, and the switch valve is arranged at the second pipe orifice to adjust the opening and closing and / or the opening degree of the second pipe orifice. When the electric heater is in a shutdown state, the external preheating device is connected with the electric heater to form a preheating system, energy of a molten salt system does not need to be depended on, non-internal circulation air is utilized, and preheating and moisture removal of the electric heater are achieved.

The invention discloses a multi-energy microgrid dynamic balance control and energy scheduling method and system. The multi-energy micro-grid dynamic balance control and energy scheduling method comprises the following steps: establishing a dynamic electric and thermal load prediction model of a rotary hearth furnace; a multi-energy micro-grid framework containing biomass power generation, photovoltaic power generation, gas turbine combined cooling heating and power generation, flue gas waste heat power generation and energy storage is constructed; establishing a system dynamic balance model and a multi-objective optimization framework considering production process constraints; designing a hierarchical dynamic balance joint control strategy; and scheduling by adopting a multi-time scale optimization algorithm. Through multi-energy complementation, waste heat gradient utilization and intelligent optimization scheduling, economical, reliable, low-carbon and efficient operation of energy supply of the rotary hearth furnace is achieved, comprehensive energy consumption and carbon emission are remarkably reduced, and an effective solution is provided for green low-carbon transformation of a high-energy-consumption industrial process.

The invention relates to the technical field of pyrolyzing furnaces, in particular to a waste photovoltaic panel recycling pyrolyzing furnace which comprises a furnace body, a plurality of liquid discharging grooves communicated with the outside of the furnace body are formed in the bottom of the furnace body, liquid discharging pipes communicated with the liquid discharging grooves are arranged outside the furnace body, and electric control valves are arranged on the liquid discharging pipes. A left lifting furnace door and a right lifting furnace door are movably arranged at openings in the two ends of the furnace body respectively, a left supporting frame and a right supporting frame which enter and exit the furnace body alternately are arranged in the furnace body, side electric heating pipes and bottom electric heating pipes are arranged on the side wall and the bottom of the furnace body, and a hot air circulation assembly extending into the furnace body is arranged on the furnace body. The top of the furnace body communicates with a smoke exhaust pipeline, the smoke exhaust pipeline communicates with a smoke return assembly, the smoke exhaust pipeline is connected with a regulation and control assembly for controlling smoke exhaust, and the side wall of the furnace body communicates with an oxygen supply pipe. Wide application prospects are realized in the technical field of pyrolyzing furnaces.

The invention relates to the technical field of lithium ion battery thermal management, and discloses a lithium ion battery liquid cooling and heating management system and a multi-objective optimization design method thereof. The method comprises the steps that an electricity-heat-flow coupling simulation model is established and verified; determining design variables and sampling to obtain a performance index sample set; training an agent model to establish rapid mapping from variables to indexes; and carrying out multi-objective optimization based on the proxy model to obtain a Pareto solution set and deciding a final scheme. The system is an entity designed by adopting the method, and comprises a battery module, a bottom liquid cooling plate with a built-in liquid cooling pipe and an independent liquid cooling pipe surrounding the outer side of the module. By integrating simulation, an agent model and multi-objective optimization, the problem that multi-objectives such as temperature uniformity, energy consumption and structure compactness in liquid cooling system design are difficult to collaboratively optimize is solved, the crossing from experience trial and error to automatic global optimization is realized, the designed double-loop cooling system ensures heat dissipation safety, and the design efficiency is improved. The energy consumption and the material cost are obviously reduced.

The invention discloses a zero-carbon park double-layer collaborative planning system oriented to multi-industry symbiosis, which is characterized in that a park-level shared carbon capture system is deployed on the aspect of technical symbiosis, multiple emission sources of energy and industry are converged, unified and purified, and the investment cost of emission reduction facilities is remarkably reduced; on the energy symbiosis level, an electricity-heat-hydrogen flexible network and a source-network-charge-storage integrated system are constructed, and gradient utilization and efficient interaction of multiple energy flows are achieved; on the aspect of material symbiosis, a deep closed-loop circulation system of industrial byproducts, waste and waste gas is established by optimizing the industrial symbiosis network topology, and the purposes of waste minimization and park net zero carbon emission are achieved. According to the method, the problem of comprehensive zero-carbon planning of the high-energy-consumption park is effectively solved, and the overall energy and resource utilization efficiency is remarkably improved while stable operation of the system is guaranteed.

The invention relates to the technical field of hot-dip galvanized steel pipe surface treatment, and discloses a hot-dip galvanized steel pipe internal blowing steam electric heating control method and system. The method comprises the steps that the outer diameter, the wall thickness, the surface temperature and steel type information of a galvanized steel pipe are collected, a steam temperature demand value is calculated, the input number and the power duty ratio of sectional type electric heating pipes are dynamically adjusted according to the temperature rise demand, and the heating power is corrected in real time through a cascade closed-loop control system; and calculating the solidification speed of the zinc liquid according to the wall thickness, and processing the thin-walled pipe in a pulse injection mode. The technical problems that in the prior art, steam temperature control precision is insufficient, heating power distribution lacks dynamic adaptation, temperature closed-loop control response lags behind, and a zinc layer on the inner wall of the thin-walled pipe is uneven are solved.

The invention belongs to the technical field of wind turbine blade anti-icing and deicing, and particularly relates to a carbon nano tube-graphene composite electric heating anti-icing and deicing system which comprises a composite electric heating layer laid on the surface of a wind turbine blade base body and used for generating heat, and the composite electric heating layer sequentially comprises a base layer, a composite conductive layer and an insulation protection layer from inside to outside. The electrode assembly is arranged on the composite electric heating layer and used for supplying power to the composite conductive layer; the ice layer monitoring module is configured to monitor the thickness of the ice layer on the surface of the blade and the environment temperature; and the power supply control module is electrically connected with the electrode assembly and the ice layer monitoring module and is configured to control power supply parameters of the electrode assembly according to the ice layer thickness and the environment temperature. By optimizing the structure of the composite conductive layer and improving the electrode arrangement and intelligent control mode, the thermal response speed is increased, the heating uniformity is optimized, the energy consumption is reduced, the service life is prolonged, and the device adapts to the complex working condition of the wind turbine blade.

The invention, which belongs to the technical field of the energy storage converter, discloses an electrical parameter sensing-based service life monitoring system for a capacitor of a network-forming type energy storage converter, comprising the following steps of: synchronously acquiring a direct-current voltage signal and a three-phase alternating-current signal of a direct-current bus capacitor through an electrical parameter acquisition module to form a multi-dimensional feature vector; a state observer built in the ESR estimation module is used for analyzing the signal, a target capacitor ESR value is obtained, and a capacitor core temperature value is obtained through back-stepping through an electric-thermal coupling field analysis model of a core temperature back-stepping module in combination with preset capacitor surface temperature data; based on the ESR value and the capacitor core temperature value, a life prediction module calculates the residual life and health degree index of the capacitor; and the power scheduling module executes capacitor health degree-power output joint scheduling according to the health degree index, adjusts the power fluctuation range of the converter, and feeds back real-time working condition data to the electrical parameter acquisition module, thereby realizing accurate monitoring of the capacitor state and intelligent scheduling of the converter power.

The invention discloses a nested conical oxygen production grain manufacturing method and structure, and relates to the technical field of oxygen production grain processing, and the nested conical oxygen production grain manufacturing method comprises the steps that oxygen production main powder is put into a mold cavity and pressed through a main pressing head to obtain a conical main grain; a central groove of the conical main grain is filled with ignition powder for pressing, and an ignition-main grain is obtained; a piezoelectric resistance electric heating fuse and ignition powder are placed in the center of the ignition-main grain; pressing the ignition-main grain, the ignition powder and the anti-piezoelectric hot fuze to obtain an oxygen production grain; the electric heating wire of the anti-voltage electric heating fuse keeps the shape of the electric heating wire framework. According to the invention, mutual wrapping of three agents is ensured through a nested conical shape, so that the ignition agent can be fully ignited, and the oxygen production agent can be fully ignited by the ignition agent. Through the buried anti-voltage electric heating wire and the skeleton structure, the electric heating wire is ensured to be buried in the pressed ignition powder in a fixed structure, and the performance of the electric heating wire is fully exerted.

The invention relates to the field of electrical measurement and electronic test equipment, and discloses a charger test method and system. The method comprises the following steps: acquiring a parameter configuration set and a baseline condition, and generating a probe and interface configuration structure under a four-wire system measurement site, protocol abstraction card mapping and shunting and Hall channel combination condition; performing unified time reference binding and event labeling table initialization, locking a time base by a real-time clock of the microcontroller unit, broadcasting the time base to a channel and a controller, executing temperature rise constrained load arrangement and synchronous acquisition, and generating an acquisition preparation packet; and electrical transient and thermal feature extraction and electrical decoupling fusion are executed, and consistency judgment, threshold comparison and report generation are completed. According to the invention, by establishing a unified time base architecture of electricity and heat dual-domain synchronization, multi-channel consistent acquisition and real-time self-diagnosis are realized, the precision, traceability and automation level of a charger test process are improved, and the method is suitable for comprehensive test and evaluation of various types of electronic equipment.