28433 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 discloses an intelligent monitoring and early warning system for the safety state of an electrical cabinet, and belongs to the technical field of electrical variable measurement, and the system comprises a data collection module which is used for obtaining multi-source sensing data of the electrical cabinet, and the multi-source sensing data comprises a current waveform parameter, an infrared temperature distribution parameter and a mechanical vibration spectrum parameter; the health feature evaluation module is used for generating a health state feature vector of the electrical cabinet by using the multi-source sensing data; the instruction generation module is used for outputting an early warning decision instruction according to a matching result of the health state feature vector and a preset fault propagation rule base; and the safety protection module is used for executing a safety protection action when the early warning decision instruction meets a preset execution condition. A multi-source sensing data fusion analysis technology is adopted to construct an electrothermal mechanical composite feature vector, a fault propagation rule base is coupled to realize cross-domain conduction path modeling, composite hidden dangers such as contact deterioration and the like can be accurately identified in a fault incubation period, and graded active safety protection measures are triggered.

Disclosed in the present invention are a low-carbon operation method and system for an integrated electric-thermal energy system under a demand response. The method comprises: collecting data in a combined heat and power generation unit, establishing a low-carbon demand response model on a demand side, and constructing an integrated electric-thermal energy system model; on the basis of the integrated electric-thermal energy system model, establishing an optimal scheduling model that satisfies an operational constraint condition and aims to maximize the revenue of an energy supply side; establishing a carbon emission flow model to calculate a carbon emission flow, mapping the carbon emission of the energy supply side to a load side, and establishing the low-carbon demand response model on the demand side by maximizing the consumer surplus as an objective; and using a genetic algorithm to solve the optimal scheduling model that aims to maximize the revenue of the energy supply side, and the low-carbon demand response model on the demand side, obtaining a low-carbon optimization scheduling plan of the integrated electric-thermal energy system, and implementing scheduling of the integrated electric-thermal energy system. According to the present invention, the carbon emission of the integrated electric-thermal energy system is reduced, the cost of energy conservation and emission reduction is reduced, and the low carbon performance and the economical efficiency are both considered.

The present invention provides a multi-drum washing machine, comprising a first drum, a second drum, and an electric heating system. The electric heating system is capable of generating a hot air flow, and the hot air flow of the electric heating system can be delivered to the first drum and / or the second drum simultaneously or separately. The multi-drum washing machine also comprises a first drum and a heat pump system. The heat pump system is capable of generating a hot air flow, and the hot air flow of the heat pump system can be delivered to the first drum. Compared with the prior art, the multi-drum washing machine described in the present invention uses a common electric heating system for drying the first and second drums, thereby reducing the manufacturing cost and space occupied by the multi-drum washing machine. The first drum uses the heat pump system for drying, avoiding the need for three drums to be dried simultaneously using a single drying system, thereby improving the drying effect of the clothes, shortening the drying time, and enhancing the user experience.

A unit capacity planning method and system based on a carbon emission reduction path optimization model. The method comprises: acquiring wind-power photovoltaic power data and electric heating load data (S1); constructing a carbon emission reduction path optimization model on the basis of the wind-power photovoltaic power data and the electric heating load data (S2); and performing hierarchical solution on the carbon emission reduction path optimization model to obtain an optimal energy unit capacity planning scheme (S3).

The invention discloses an inertial microsystem thermal coupling analysis method based on a physical information neural network, and the method comprises the steps: S1, setting material parameters and boundary conditions of an inertial microsystem, and building a thermal coupling analysis model; s2, performing electrothermal coupling analysis to obtain temperature distribution of the inertial microsystem; s3, thermal stress distribution of the microsystem is obtained through thermal-mechanical coupling simulation analysis; s4, predicting a temperature field of the microsystem through the physical information neural network; s5, taking the temperature field as a boundary condition of mechanical simulation of the microsystem to obtain mechanical properties such as stress and strain of the microsystem; and S6, performing mechanical-electric coupling simulation analysis, and analyzing the influence of structural deformation on each parameter in electrical performance. According to the method, the neural network solving precision is improved through the improved adaptive weight strategy, the complete polynomial basis function is combined with the neural network, the state dimension is reduced by introducing the expansion basis function, the calculation cost and time are reduced, accurate prediction of the micro-system multi-moment temperature field is achieved, and the micro-system performance under electric heating power multi-physics field coupling is calculated.

The invention relates to the field of electric heating materials, and provides a graphene-based heating coating and a preparation method thereof. The coating is prepared from functionalized graphene, a surface modified bismuth telluride nanobelt, polyaniline, bisphenol A epoxy acrylate, polyurethane acrylate, a dispersing agent, a flatting agent, a silane coupling agent, a defoaming agent and a propylene glycol methyl ether acetate / N-methyl pyrrolidone mixed solvent. The functionalized graphene is obtained by modifying a hyperbranched polyolefin-acryloyl-POSS copolymer, and carrying out ultrasonic stripping, centrifugal separation, gradient washing and vacuum drying; the surface-modified bismuth telluride nanobelt is modified by an amino silane coupling agent, so that the interfacial compatibility is improved. The preparation method comprises the steps of solvent premixing, nanofiller dispersion, ultrasonic homogenization, coupling agent modification, ultraviolet curing and thermocuring. The heating coating provided by the invention has high conductivity, excellent thermal stability and adhesive force, and can be widely applied to heating electric appliances and intelligent temperature control equipment.

The invention provides a computing-electric-thermal coupled data center integrated energy system collaborative optimization method, and relates to the field of data center energy-saving management and control, and the method comprises the steps: firstly obtaining real-time data collected by a data center; secondly, a data center load model is constructed based on the relation among real-time data quantification calculation power, electric power and heating power; constructing a collaborative optimization model according to the data center load model, and solving the collaborative optimization model to obtain an optimization result; and finally, adjusting calculation task distribution, a power supply strategy and cooling system operation parameters according to an optimization result to form a calculation-electricity-heat coupled data center integrated energy system collaborative optimization strategy. According to the calculation-electricity-heat coupled data center comprehensive energy system collaborative optimization method, collaborative optimization is carried out on the data center energy system through multi-energy complementation, and energy conservation and efficiency improvement of the data center are achieved.

The invention provides a power grid energy disturbance suppression method for electric heating gas state information transmission collaboration, and relates to the technical field of information, and the method comprises the steps: obtaining multi-source heterogeneous state information of an electric heating gas energy network; aiming at the multi-source heterogeneous state information, dynamically converting a heterogeneous communication protocol into a unified protocol format by adopting a self-adaptive communication protocol conversion technology; and for the decoupled state information, parallel processing is carried out by adopting a distributed stream computing framework, so that the real-time performance and expandability of state information processing are improved. A distributed stream computing framework is adopted to construct an efficient processing assembly line, the block chain technology is utilized to guarantee the integrity and reliability of data transmission, a deep learning algorithm is applied to construct an intelligent analysis model, a multi-energy-flow coupling relationship and an evolution law are mined, and a multi-energy-flow analysis result is obtained. According to the method, data processing results of all links are fused to form a global state information view, decision support is provided for power grid energy disturbance suppression, and efficient processing, analysis and visualization of the state information of the electric heating gas multi-energy flow system are achieved.

The invention provides a device and a method for extracting water from air operated under all working conditions. The device comprises a solar power supply unit, a salt-carrying hydrogel adsorption-desorption unit, an electric heating desorption unit, a water vapor condensation and collection unit and a PID control unit. The solar power supply system comprises a solar photovoltaic panel, an MPPT (maximum power point tracking) type photovoltaic inverter and a storage battery, the salt-carrying hydrogel adsorption-desorption unit comprises hydrophilic porous hydrogel and a LiCl / CaCl2 composite adsorption material, and the electric heating desorption unit comprises a copper heat-conducting plate loaded with the adsorption material and an electric heating sheet. The water vapor condensation and collection unit is composed of four finned radiators and two semiconductor chilling plates. The PID control unit is composed of a temperature and humidity sensor and a control circuit, wherein the temperature and humidity sensor is connected to the radiators and the front side of the adsorption bed. Water vapor in the environment is enriched through an efficient salt-loaded adsorbent packed bed, desorption is driven in two modes of solar photo-thermal and electric heating, desorbed high-humidity airflow passes through a fin type cooling fin connected with a semiconductor and then is condensed into liquid water, and the process of taking water from air is completed through a collector below. According to the device, low-energy-consumption air water taking under the humidity of 15%-100% can be achieved by controlling the operation time of all the units, the device is portable and compact, the automation degree is high, and high-water-yield air water taking is achieved by using solar photo-thermal and power generation as energy input.

The invention discloses an electric heating cooker uniform temperature control method and system for gradient temperature difference regulation and control, and relates to the technical field of temperature control, the method comprises the following steps: dividing an internal heating area of a target electric heating cooker, arranging temperature sensors, and acquiring meal temperature data of N subareas in real time through a subarea temperature sensor array; constructing a gradient temperature difference model based on meal heat conduction information and food material characteristic information, and performing deviation calculation on the meal temperature data of the N sub-regions based on the gradient temperature difference model to obtain temperature deviation data of the N sub-regions; and a PID controller is adopted to perform heating power analysis on the temperature deviation data of the N sub-regions, and the heating power adjustment amount of the N sub-regions is determined to control the target electric heating cooker to perform uniform-temperature heating control. The technical effects of realizing uniform temperature control of the electric heating cooker, effectively solving the problem of local overheating or half-cooking caused by a traditional heating mode, ensuring uniform heating of meals and improving the heating quality are achieved.

The present invention describes an electric-thermal-hydrogen multi-energy device planning method for zero energy buildings, including the following specific steps: firstly, constructing operation constraints of electric and thermal devices in the zero energy buildings; secondly, constructing operation constraints of hydrogen devices including the electrolyzer, the fuel cell and the hydrogen storage device; then, in view of constraints on annual zero energy of the buildings, establishing the robust electric-thermal-hydrogen multi-energy device planning model considering source-load uncertainties; and finally, solving the robust electric-thermal-hydrogen multi-energy device planning model of the zero energy buildings by adopting an alternating optimization procedure based column-and-constraint generation algorithm. By using the zero energy buildings, the planning method disclosed by the present disclosure plays important roles in aspects of promoting the development and utilization of renewable energy on the demand side, reducing energy consumption in the field of buildings, and reducing the emission of greenhouse gases.

The invention relates to a model predictive control charging optimization method based on a dynamic power state, which initiates a'dynamic power state collaborative optimization 'mechanism, takes a real-time power upper limit as an active optimization target instead of a fixed constraint condition, and breaks through the technical bottleneck of power limitation passive response in a traditional charging strategy. The method specifically comprises the following steps: constructing an electric-thermal-aging multi-physics field coupling model of the lithium ion battery, updating electric-thermal characteristic parameters in real time through an online parameter identification algorithm, and synchronously estimating a core temperature and an aging state in combination with a double-Kalman filtering state observer; innovatively establishing a four-dimensional objective function optimization model containing a dynamic power state, and performing multi-objective collaborative optimization on a power upper limit, a charging speed, a capacity fading rate and a current fluctuation rate; and designing a dynamic rolling optimization algorithm based on a model prediction control framework, and solving the optimal charging current meeting the dynamic power distribution requirement of the power grid in real time under the hard constraint of ensuring the maximum core temperature and terminal voltage.

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 intelligent temperature control type fan blade electric heating deicing control system and method, and relates to the technical field of fan blade deicing. According to the intelligent temperature control type fan blade electric heating deicing control system and method, the icing thickness, temperature, humidity and environmental conditions of the surface of a blade are collected in real time through an icing monitoring unit, a demand degree matrix is generated, and high-demand, medium-demand and low-demand areas of the blade are divided according to the demand degree matrix; only activating modules in a high-demand area under the guidance of the demand degree matrix, and keeping the non-activated modules in a standby state to save energy consumption; meanwhile, the multi-level power adjusting unit dynamically distributes power according to the heating demand quantity of the activated area, matches the icing thicknesses and actual demands of different areas, continuously collects feedback information in each heating period, and generates a feedback report and optimizes a deicing strategy, wherein the feedback information comprises the temperature change of the blade surface, the energy consumption efficiency, the deicing progress and the like.

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 invention provides a three-axis turntable temperature control device and method in a vacuum environment. The three-axis turntable temperature control device comprises a heating circuit, a power control circuit, a temperature measurement circuit, a temperature sensor and a control module, the heating circuit is formed by electrically connecting a plurality of electric heating sheets; the heating circuit is arranged on the surface of the three-axis turntable; at least one temperature sensor is arranged on the surface of each heating circuit; the temperature measuring circuit is used for acquiring the temperature value of the temperature sensor, the power control circuit is used for acquiring the power of each heating circuit, and the control module is used for sending a control instruction to the power control circuit according to the power and the temperature value, so that the power control circuit controls each heating circuit to be connected or disconnected. According to the scheme, high-precision control over the working temperature of the three-axis rotary table in the vacuum environment is achieved.

The invention provides an electric heating gas energy storage collaborative charge state disturbance suppression optimization method, and relates to the technical field of information, and the method comprises the steps: carrying out the filtering processing of a second-level disturbance signal in the real-time operation data of a power grid through an adaptive Kalman filtering algorithm, so as to improve the signal-to-noise ratio; performing time-frequency domain feature extraction on the filtered disturbance signal by using a wavelet analysis method, and judging the type and severity of the disturbance signal in combination with a preset disturbance mode library; and according to the type and characteristics of the disturbance signal. According to the method, an electric energy storage collaborative optimization control model is constructed by adopting a robust optimization theory, the uncertainty of disturbance signals and electric energy storage characteristics is considered, an optimal power instruction is solved, in the control process, the state of an electric energy storage unit is dynamically evaluated, a strategy is adjusted, online optimization is carried out according to power grid index changes, the control effect is continuously improved, and the control efficiency is improved. Through cooperative optimization control of electric energy storage, second-level disturbance of the power grid is effectively suppressed, and safe and stable operation of the power grid is guaranteed.

The invention relates to the technical field of new energy, in particular to a fan blade composite deicing system and method.The fan blade composite deicing system comprises a sensing layer, a decision-making layer, an execution layer and a feedback layer, and the decision-making layer comprises a graph neural network ice type recognition module, a CFD-icing coupling simulation module, a health management module and an energy consumption scheduling algorithm unit; the execution layer comprises a control unit and an execution unit, the control unit comprises a dynamic partition heating controller and a self-adaptive vibration controller, and the execution unit comprises an electric heating system and a vibration deicing system; compared with the prior art that a single deicing mode is usually adopted, and the adaptability to different ice type physical characteristics is poor, the scheme adopts a differential execution strategy, and partition electric heating control is carried out on different chord length areas of the blade based on the ice type recognition result; and high-frequency piezoelectric standing wave vibration is adopted for glaze ice, low-frequency eccentric wheel vibration is adopted for glaze ice, and the beneficial effects that the deicing efficiency is remarkably improved, invalid energy consumption is reduced, and damage to blades is reduced are achieved.

The invention relates to the field of crude oil heating, in particular to a full-automatic electric heating system and device based on the integrated heat storage technology, and the system comprises a temperature scale module, a heating module and a heat storage module. The heating module is provided with all temperature control nodes of the oil gathering pipeline, target temperature difference compensation, pipe section heat loss compensation and a flow velocity correction factor are integrated, and adaptive electric heating power of all the temperature control nodes of the oil gathering pipeline is generated through a reverse cascade feedback control algorithm. The heat storage module continuously collects temperature field characteristics, operation condition characteristics and medium thermal attributes of the oil gathering pipeline, judges whether heat storage operation is triggered or not through multi-dimensional coupling evaluation, distributes heat storage media through a priority algorithm, drives a valve to switch and execute adaptive heat storage operation, and achieves precise temperature field regulation and control and energy efficiency optimization of the oil gathering pipeline. And stable crude oil transportation is guaranteed.

The invention discloses a park integrated energy scheduling method and system based on a master-slave game model, and relates to the technical field of energy scheduling, and the method comprises the steps: collecting basic operation parameter data in a park integrated energy system; constructing an upper-layer game model taking an operator as a dominant, setting constraints, and making an electric heating and cooling price strategy and a unit output plan by taking operator profit maximization as a target; constructing a lower-layer game model, and making a load energy consumption strategy by taking user energy consumption cost minimization as a target; and converting the upper-layer game model and the lower-layer game model into a mixed integer linear programming problem, and obtaining an electric heating cold price scheduling scheme and an output scheduling scheme of each unit by adopting an optimization solution algorithm. The building thermal inertia and demand response mechanism is introduced, the KKT condition, the linear relaxation technology and the strong dual theory are used for converting the complex problem into the MILP model easy to solve, optimization of operator and user benefits is achieved, and the calculation speed and the solving efficiency are remarkably improved.

The invention provides an inertia optimization method for electric heat gas energy transport channel coordination, and relates to the technical field of energy transport channels, and the method comprises the steps: building a fluid flow state and vortex intensity mapping relation model, which is used for predicting the possible vortex conditions under different working conditions; and based on a prediction result, a genetic algorithm is adopted to optimize a sensor arrangement scheme, and the most comprehensive flow state information is obtained by using the least sensors. According to the method, pipeline vibration safety is considered, a vibration monitoring and valve adjustment limiting mechanism is set, in addition, a tradeoff model of energy loss and transportation efficiency is further constructed, an optimal adjustment strategy is solved by applying a multi-objective optimization algorithm, finally, an eddy current suppression effect evaluation model is established, quantitative evaluation and strategy optimization of a control effect are achieved, and the control effect is optimized. Through the comprehensive application of a series of innovative methods, the precise inhibition of the vortex in the fluid transportation process and the remarkable improvement of the transportation efficiency are realized, and meanwhile, the safe operation of a pipeline system is ensured.

The invention provides electric heating glass and a vehicle. Comprising a glass body, a first bus, a second bus, a shielding layer and a plurality of first heating structures, the glass body comprises a front windshield and a skylight glass area which are connected, and the front windshield glass area is provided with a visible area; the first bus and the second bus are connected to the glass body, located on the edge, away from the skylight glass area, of the front windshield area and spaced from the visible area, and the first bus and the second bus are arranged in the width direction of the glass body at intervals and are opposite in polarity. The shielding layer is connected to the outer edge of the glass body, is spaced from the visible area and covers the first bus and the second bus; the first heating structures are connected to the glass body at intervals and located in the front windshield area, one ends of the first heating structures are electrically connected with the first bus, the other ends of the first heating structures are electrically connected with the second bus, and the first heating structures are sequentially arranged between the first bus and the second bus at intervals in a layer-by-layer nested mode. According to the technical scheme, defrosting and demisting can be achieved on the premise that the appearance and the view of a driver are not affected.

The invention discloses an IGBT junction temperature real-time decoupling modeling method and system based on dynamic electric heating compensation, and relates to the technical field of state monitoring of power electronic devices. At present, junction temperature estimation is not accurate due to IGBT on-state voltage drop measurement distortion and chip internal thermal gradient in a high-voltage environment. The method comprises the following steps: in an offline stage, constructing an ideal electrothermal characteristic database of an IGBT, a dynamic temperature gradient compensation database in a chip and Foster thermal network model parameters; in the on-line stage, synchronous sampling and preprocessing are carried out on IGBT module operation parameters; combining online real-time parameters with an offline database by using an adaptive Kalman filter, and iteratively and cooperatively estimating the real-time junction temperature and loss of the IGBT; and finally, outputting and applying the estimated accurate junction temperature and loss data. According to the technical scheme, the hot spot effect in the chip is accurately decoupled, the junction temperature estimation precision and the robustness of online monitoring are improved, and core data support is provided for fine thermal management and early fault early warning of the flexible direct current converter valve.

The invention discloses a method for converting a waste wind power blade composite material into silicon carbide, which comprises the following steps: mixing waste wind power blade composite material powder with a conductive agent to obtain a mixture, the waste wind power blade composite material comprising a silicon element and a carbon element; and performing flash Joule heat treatment on the mixture to obtain the silicon carbide. According to the method, the waste wind power blade composite material powder does not need to be subjected to any pretreatment such as pyrolysis, the waste wind power blade composite material can be converted into the silicon carbide with the high additional value only through one-step flash Joule heat treatment in the presence of the conductive agent, and the process steps are simple; and meanwhile, the flash Joule heat treatment is an electric heating pulse rapid high-temperature treatment mode, so that the time consumption is very short, and the method is energy-saving, efficient and environment-friendly.

The invention relates to the technical field of fan blade deicing, and discloses an intelligent temperature control type fan blade electric heating deicing control system and method, and the system comprises a meteorological sensing module which is used for collecting the environment temperature, humidity, wind speed and rainfall type; the blade state monitoring module is used for acquiring blade surface temperature distribution and ice layer thickness data; the dynamic decision-making module is used for generating a partition heating instruction based on the data of the weather sensing module and the blade state monitoring module; the temperature control execution module is used for converting the instruction into a gradient signal; the heating array module is used for executing electric heating deicing operation in the blade surface subareas; and the energy coordination module is used for dynamically constraining the total power of the system. The meteorological sensing module and the blade state monitoring module are integrated through the system, real-time collection and fusion of multi-source data of blade surrounding environment parameters and the thickness of an ice layer are achieved through the design, comprehensiveness and accuracy of icing monitoring are improved, a reliable basis is provided for dynamic decision making, and therefore the response capacity and early warning precision of the system to icing risks are improved.

The invention relates to a SOEC (Solid Oxide Electrolyte Cell) hydrogen production system and an operation method thereof. The SOEC hydrogen production system comprises an SOEC galvanic pile module, a deionized water pump, a deionized water preheater, a heat exchange type steam generator, an ejector, a feed gas preheater, a hydrogen preheater, a fan, an air preheater, a combustor, a stop valve, a heat tracing band, a power supply, a control system, a pipeline, a temperature sensor and the like. The system is provided with the combustor, the heat exchange type steam generator and the heat exchanger, heat generated by combustion of natural gas is used for providing heat for high-temperature raw material gas and high-temperature air required by the SOEC hydrogen production system in a heat exchange mode, meanwhile, heat of high-temperature gas at an outlet of an SOEC galvanic pile module is recycled, and the power consumption of the SOEC hydrogen production system is effectively reduced; in addition, the high-temperature raw material gas containing hydrogen is heated in a heat exchange mode instead of an electric heating mode, so that the safety of the hydrogen production system is effectively improved; the system is low in power consumption, stable, reliable and high in operability.

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 a battery safety early warning method based on multi-signal feature fusion, and relates to the technical field of lithium ion battery thermal runaway. According to the method, multiple characteristic parameter signals are concerned at the same time, more accurate early warning is obtained, the established electric heating model can be suitable for different temperature environments, multiple parameters such as temperature, current, voltage and internal impedance can be comprehensively considered, state estimation is more accurate, and rapid prediction of the battery state is achieved. For the safety risk possibly caused by the battery temperature, the temperature is introduced into the prediction process as a constraint condition, the SOC is estimated by adopting a resistance method with temperature compensation, and meanwhile, the SOC and SOH joint estimation method is adopted, so that the accuracy of battery health estimation is improved, and the safety early warning accuracy is further improved. And finally, a multi-head attention mechanism is adopted to process parallel parameter data in parallel, so that various characteristic parameters are processed more effectively, and the depth and accuracy of data analysis are improved.

The invention relates to the technical field of power supply, and particularly discloses a peak and frequency regulation heat supply method for a multi-element energy storage coupling coal power unit, which is used for solving the problems that only active frequency is optimized, electric heating coordination and charge state constraint are lacked and time delay compensation is insufficient in the prior art. The method provided by the invention comprises the steps of system modeling, controller design, coupling constraint, adaptive parameter adjustment, delay compensation and distributed consensus. According to the method, a dual-domain electric power-thermal interconnection model is constructed, a cooperative controller based on delay compensation distributed model prediction control is designed, electric-thermal cooperative penalty and charge state constraint are introduced into a target function, a prediction window and weight parameters are adaptively adjusted, and network delay is identified and compensated online. And a consensus algorithm is adopted to realize multi-region power-heat collaborative optimization.